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briansp2020/Pytorch build output

Created July 31, 2019 23:28
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Pytorch build output
This file has been truncated, but you can view the full file.
-- The CXX compiler identification is Clang 7.1.0
-- The C compiler identification is Clang 7.1.0
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Not forcing any particular BLAS to be found
-- Performing Test COMPILER_WORKS
-- Performing Test COMPILER_WORKS - Success
-- Performing Test SUPPORT_GLIBCXX_USE_C99
-- Performing Test SUPPORT_GLIBCXX_USE_C99 - Success
-- Performing Test CAFFE2_EXCEPTION_PTR_SUPPORTED
-- Performing Test CAFFE2_EXCEPTION_PTR_SUPPORTED - Success
-- std::exception_ptr is supported.
-- Performing Test CAFFE2_IS_NUMA_AVAILABLE
-- Performing Test CAFFE2_IS_NUMA_AVAILABLE - Success
-- NUMA is available
-- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING
-- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING - Success
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX2_EXTENSIONS
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX2_EXTENSIONS - Success
-- Current compiler supports avx2 extension. Will build perfkernels.
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS - Success
-- Current compiler supports avx512f extension. Will build fbgemm.
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success
-- Performing Test COMPILER_SUPPORTS_RDYNAMIC
-- Performing Test COMPILER_SUPPORTS_RDYNAMIC - Success
-- Building using own protobuf under third_party per request.
-- Use custom protobuf build.
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- Caffe2 protobuf include directory: $<BUILD_INTERFACE:/root/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include>
-- Trying to find preferred BLAS backend of choice: MKL
-- MKL_THREADING = OMP
-- Looking for sys/types.h
-- Looking for sys/types.h - found
-- Looking for stdint.h
-- Looking for stdint.h - found
-- Looking for stddef.h
-- Looking for stddef.h - found
-- Check size of void*
-- Check size of void* - done
-- Looking for cblas_sgemm
-- Looking for cblas_sgemm - found
-- MKL libraries: /usr/local/lib/libmkl_intel_lp64.so;/usr/local/lib/libmkl_intel_thread.so;/usr/local/lib/libmkl_core.so;/usr/local/lib/libiomp5.so;/usr/lib/x86_64-linux-gnu/libpthread.so;/usr/lib/x86_64-linux-gnu/libm.so;/usr/lib/x86_64-linux-gnu/libdl.so
-- MKL include directory: /usr/local/include
-- MKL OpenMP type: Intel
-- MKL OpenMP library: /usr/local/lib/libiomp5.so
-- The ASM compiler identification is Clang
-- Found assembler: /usr/bin/cc
-- Check if compiler accepts -pthread
-- Check if compiler accepts -pthread - yes
-- Brace yourself, we are building NNPACK
-- Performing Test NNPACK_ARCH_IS_X86_32
-- Performing Test NNPACK_ARCH_IS_X86_32 - Failed
-- Found PythonInterp: /usr/bin/python3 (found version "3.6.8")
-- NNPACK backend is x86-64
-- Failed to find LLVM FileCheck
-- Found Git: /usr/bin/git (found version "2.7.4")
-- git Version: v1.4.0-505be96a
-- Version: 1.4.0
-- Performing Test HAVE_CXX_FLAG_STD_CXX11
-- Performing Test HAVE_CXX_FLAG_STD_CXX11 - Success
-- Performing Test HAVE_CXX_FLAG_WALL
-- Performing Test HAVE_CXX_FLAG_WALL - Success
-- Performing Test HAVE_CXX_FLAG_WEXTRA
-- Performing Test HAVE_CXX_FLAG_WEXTRA - Success
-- Performing Test HAVE_CXX_FLAG_WSHADOW
-- Performing Test HAVE_CXX_FLAG_WSHADOW - Success
-- Performing Test HAVE_CXX_FLAG_WERROR
-- Performing Test HAVE_CXX_FLAG_WERROR - Success
-- Performing Test HAVE_CXX_FLAG_PEDANTIC
-- Performing Test HAVE_CXX_FLAG_PEDANTIC - Success
-- Performing Test HAVE_CXX_FLAG_PEDANTIC_ERRORS
-- Performing Test HAVE_CXX_FLAG_PEDANTIC_ERRORS - Success
-- Performing Test HAVE_CXX_FLAG_WSHORTEN_64_TO_32
-- Performing Test HAVE_CXX_FLAG_WSHORTEN_64_TO_32 - Success
-- Performing Test HAVE_CXX_FLAG_WFLOAT_EQUAL
-- Performing Test HAVE_CXX_FLAG_WFLOAT_EQUAL - Success
-- Performing Test HAVE_CXX_FLAG_FSTRICT_ALIASING
-- Performing Test HAVE_CXX_FLAG_FSTRICT_ALIASING - Success
-- Performing Test HAVE_CXX_FLAG_WNO_DEPRECATED_DECLARATIONS
-- Performing Test HAVE_CXX_FLAG_WNO_DEPRECATED_DECLARATIONS - Success
-- Performing Test HAVE_CXX_FLAG_WSTRICT_ALIASING
-- Performing Test HAVE_CXX_FLAG_WSTRICT_ALIASING - Success
-- Performing Test HAVE_CXX_FLAG_WD654
-- Performing Test HAVE_CXX_FLAG_WD654 - Failed
-- Performing Test HAVE_CXX_FLAG_WTHREAD_SAFETY
-- Performing Test HAVE_CXX_FLAG_WTHREAD_SAFETY - Success
-- Performing Test HAVE_THREAD_SAFETY_ATTRIBUTES
-- Performing Test HAVE_THREAD_SAFETY_ATTRIBUTES
-- Performing Test HAVE_THREAD_SAFETY_ATTRIBUTES -- failed to compile
-- Performing Test HAVE_CXX_FLAG_COVERAGE
-- Performing Test HAVE_CXX_FLAG_COVERAGE - Success
-- Performing Test HAVE_STD_REGEX
-- Performing Test HAVE_STD_REGEX
-- Performing Test HAVE_STD_REGEX -- success
-- Performing Test HAVE_GNU_POSIX_REGEX
-- Performing Test HAVE_GNU_POSIX_REGEX
-- Performing Test HAVE_GNU_POSIX_REGEX -- failed to compile
-- Performing Test HAVE_POSIX_REGEX
-- Performing Test HAVE_POSIX_REGEX
-- Performing Test HAVE_POSIX_REGEX -- success
-- Performing Test HAVE_STEADY_CLOCK
-- Performing Test HAVE_STEADY_CLOCK
-- Performing Test HAVE_STEADY_CLOCK -- success
-- Performing Test COMPILER_SUPPORTS_AVX512
-- Performing Test COMPILER_SUPPORTS_AVX512 - Success
-- Found OpenMP_C: -fopenmp=libomp (found version "3.1")
-- Found OpenMP_CXX: -fopenmp=libomp (found version "3.1")
-- Found OpenMP: TRUE (found version "3.1")
CMake Warning (dev) at third_party/fbgemm/third_party/asmjit/CMakeLists.txt:34 (set):
implicitly converting 'BOOLEAN' to 'STRING' type.
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Warning (dev) at third_party/fbgemm/third_party/asmjit/CMakeLists.txt:35 (set):
implicitly converting 'BOOLEAN' to 'STRING' type.
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Warning (dev) at third_party/fbgemm/third_party/asmjit/CMakeLists.txt:36 (set):
implicitly converting 'BOOLEAN' to 'STRING' type.
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Warning (dev) at third_party/fbgemm/third_party/asmjit/CMakeLists.txt:37 (set):
implicitly converting 'BOOLEAN' to 'STRING' type.
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Warning (dev) at third_party/fbgemm/third_party/asmjit/CMakeLists.txt:38 (set):
implicitly converting 'BOOLEAN' to 'STRING' type.
This warning is for project developers. Use -Wno-dev to suppress it.
-- Performing Test __CxxFlag__msse
-- Performing Test __CxxFlag__msse - Success
-- Performing Test __CxxFlag__msse2
-- Performing Test __CxxFlag__msse2 - Success
-- Performing Test __CxxFlag__msse3
-- Performing Test __CxxFlag__msse3 - Success
-- Performing Test __CxxFlag__mssse3
-- Performing Test __CxxFlag__mssse3 - Success
-- Performing Test __CxxFlag__msse4_1
-- Performing Test __CxxFlag__msse4_1 - Success
-- Performing Test __CxxFlag__msse4_2
-- Performing Test __CxxFlag__msse4_2 - Success
-- Performing Test __CxxFlag__mavx
-- Performing Test __CxxFlag__mavx - Success
-- Performing Test __CxxFlag__mavx2
-- Performing Test __CxxFlag__mavx2 - Success
-- Performing Test __CxxFlag__std_c__17
-- Performing Test __CxxFlag__std_c__17 - Success
-- Performing Test __CxxFlag__std_c__14
-- Performing Test __CxxFlag__std_c__14 - Success
-- Performing Test __CxxFlag__std_c__11
-- Performing Test __CxxFlag__std_c__11 - Success
-- Performing Test __CxxFlag__std_c__0x
-- Performing Test __CxxFlag__std_c__0x - Success
-- Performing Test __CxxFlag__fno_tree_vectorize
-- Performing Test __CxxFlag__fno_tree_vectorize - Success
-- Performing Test __CxxFlag__fvisibility_hidden
-- Performing Test __CxxFlag__fvisibility_hidden - Success
-- Performing Test __CxxFlag__Winconsistent_missing_override
-- Performing Test __CxxFlag__Winconsistent_missing_override - Success
-- Performing Test __CxxFlag__O2
-- Performing Test __CxxFlag__O2 - Success
-- Performing Test __CxxFlag__fno_keep_static_consts
-- Performing Test __CxxFlag__fno_keep_static_consts - Failed
-- Performing Test __CxxFlag__fmerge_all_constants
-- Performing Test __CxxFlag__fmerge_all_constants - Success
-- [asmjit]
BuildMode=Static
BuildTest=Off
ASMJIT_DIR=/root/pytorch/third_party/fbgemm/third_party/asmjit
ASMJIT_DEPS=pthread;rt
ASMJIT_LIBS=asmjit;pthread;rt
ASMJIT_CFLAGS=-DASMJIT_STATIC
ASMJIT_SOURCE_DIR=/root/pytorch/third_party/fbgemm/third_party/asmjit/src
ASMJIT_INCLUDE_DIR=/root/pytorch/third_party/fbgemm/third_party/asmjit/src
ASMJIT_PRIVATE_CFLAGS=
-DASMJIT_STATIC
-std=c++17
-fno-tree-vectorize
-fvisibility=hidden
-Winconsistent-missing-override
-O2 [RELEASE]
-fmerge-all-constants [RELEASE]
-- Found LMDB: /usr/include
-- Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so)
-- Found Numa: /usr/include
-- Found Numa (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libnuma.so)
-- OpenCV found (/usr/share/OpenCV)
-- Using third party subdirectory Eigen.
Python 3.6.8
-- Found PythonInterp: /usr/bin/python3 (found suitable version "3.6.8", minimum required is "2.7")
-- Found PythonLibs: /usr/lib/libpython3.6m.so.1.0 (found suitable version "3.6.8", minimum required is "2.7")
-- Could NOT find pybind11 (missing: pybind11_DIR)
-- Could NOT find pybind11 (missing: pybind11_INCLUDE_DIR)
-- Using third_party/pybind11.
-- Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS)
-- Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS)
-- Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND)
CMake Warning at cmake/Dependencies.cmake:741 (message):
Not compiling with MPI. Suppress this warning with -DUSE_MPI=OFF
Call Stack (most recent call first):
CMakeLists.txt:295 (include)
-- Adding OpenMP CXX_FLAGS: -fopenmp=libomp
-- Will link against OpenMP libraries: /usr/local/lib/libiomp5.so
-- Found HIP: /opt/rocm/hip (found suitable version "1.5.19255", minimum required is "1.0")
HIP VERSION: 1.5.19255
***** Library versions from dpkg *****
rocm-dev VERSION: 2.6.22
rocm-device-libs VERSION: 0.0.1
rocm-libs VERSION: 2.6.22
hsakmt-roct VERSION: 1.0.9-171-g4be439e
hsakmt-roct-dev VERSION: 1.0.9-171-g4be439e
hsa-ext-rocr-dev VERSION: 1.1.9-87-g1566fdd
hsa-rocr-dev VERSION: 1.1.9-87-g1566fdd
hcc VERSION: 1.3.19242
hip_base VERSION: 1.5.19255
hip_hcc VERSION: 1.5.19255
***** Library versions from cmake find_package *****
hiprand VERSION: 2.6.0
rocblas VERSION: 2.2.11.0
miopen VERSION: 2.0.0-7a8f787
rocfft VERSION: 0.9.4.0
-- Found PkgConfig: /usr/bin/pkg-config (found version "0.29.1")
hipsparse VERSION: 1.0.8.0
INFOCompiling with HIP for AMD.
CMake Warning (dev) at third_party/gloo/CMakeLists.txt:21 (option):
Policy CMP0077 is not set: option() honors normal variables. Run "cmake
--help-policy CMP0077" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
For compatibility with older versions of CMake, option is clearing the
normal variable 'BUILD_BENCHMARK'.
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Warning (dev) at third_party/gloo/CMakeLists.txt:31 (option):
Policy CMP0077 is not set: option() honors normal variables. Run "cmake
--help-policy CMP0077" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
For compatibility with older versions of CMake, option is clearing the
normal variable 'USE_NCCL'.
This warning is for project developers. Use -Wno-dev to suppress it.
Successfully preprocessed all matching files.
CMake Warning at cmake/Dependencies.cmake:1010 (message):
Metal is only used in ios builds.
Call Stack (most recent call first):
CMakeLists.txt:295 (include)
--
-- ******** Summary ********
-- CMake version : 3.14.4
-- CMake command : /usr/local/lib/python3.6/dist-packages/cmake/data/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ compiler version : 7.1.0
-- CXX flags : -fvisibility-inlines-hidden -fopenmp=libomp -Wnon-virtual-dtor
-- Build type : Release
-- Compile definitions : TH_BLAS_MKL;NDEBUG;ONNX_ML=1
-- CMAKE_PREFIX_PATH : /usr/lib/python3/dist-packages
-- CMAKE_INSTALL_PREFIX : /root/pytorch/torch
-- CMAKE_MODULE_PATH : /opt/rocm/hip/cmake;/root/pytorch/cmake/Modules
--
-- ONNX version : 1.5.0
-- ONNX NAMESPACE : onnx_torch
-- ONNX_BUILD_TESTS : OFF
-- ONNX_BUILD_BENCHMARKS : OFF
-- ONNX_USE_LITE_PROTO : OFF
-- ONNXIFI_DUMMY_BACKEND : OFF
-- ONNXIFI_ENABLE_EXT : OFF
--
-- Protobuf compiler :
-- Protobuf includes :
-- Protobuf libraries :
-- BUILD_ONNX_PYTHON : OFF
--
-- ******** Summary ********
-- CMake version : 3.14.4
-- CMake command : /usr/local/lib/python3.6/dist-packages/cmake/data/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ compiler version : 7.1.0
-- CXX flags : -fvisibility-inlines-hidden -fopenmp=libomp -Wnon-virtual-dtor
-- Build type : Release
-- Compile definitions : TH_BLAS_MKL;NDEBUG;ONNX_ML=1
-- CMAKE_PREFIX_PATH : /usr/lib/python3/dist-packages
-- CMAKE_INSTALL_PREFIX : /root/pytorch/torch
-- CMAKE_MODULE_PATH : /opt/rocm/hip/cmake;/root/pytorch/cmake/Modules
--
-- ONNX version : 1.4.1
-- ONNX NAMESPACE : onnx_torch
-- ONNX_BUILD_TESTS : OFF
-- ONNX_BUILD_BENCHMARKS : OFF
-- ONNX_USE_LITE_PROTO : OFF
-- ONNXIFI_DUMMY_BACKEND : OFF
--
-- Protobuf compiler :
-- Protobuf includes :
-- Protobuf libraries :
-- BUILD_ONNX_PYTHON : OFF
-- Could not find CUDA with FP16 support, compiling without torch.CudaHalfTensor
-- Removing -DNDEBUG from compile flags
-- MAGMA not found. Compiling without MAGMA support
-- Could not find hardware support for NEON on this machine.
-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- Looking for cpuid.h
-- Looking for cpuid.h - found
-- Performing Test HAVE_GCC_GET_CPUID
-- Performing Test HAVE_GCC_GET_CPUID - Success
-- Performing Test NO_GCC_EBX_FPIC_BUG
-- Performing Test NO_GCC_EBX_FPIC_BUG - Success
-- Performing Test C_HAS_AVX_1
-- Performing Test C_HAS_AVX_1 - Failed
-- Performing Test C_HAS_AVX_2
-- Performing Test C_HAS_AVX_2 - Success
-- Performing Test C_HAS_AVX2_1
-- Performing Test C_HAS_AVX2_1 - Failed
-- Performing Test C_HAS_AVX2_2
-- Performing Test C_HAS_AVX2_2 - Success
-- Performing Test CXX_HAS_AVX_1
-- Performing Test CXX_HAS_AVX_1 - Failed
-- Performing Test CXX_HAS_AVX_2
-- Performing Test CXX_HAS_AVX_2 - Success
-- Performing Test CXX_HAS_AVX2_1
-- Performing Test CXX_HAS_AVX2_1 - Failed
-- Performing Test CXX_HAS_AVX2_2
-- Performing Test CXX_HAS_AVX2_2 - Success
-- AVX compiler support found
-- AVX2 compiler support found
-- Performing Test BLAS_F2C_DOUBLE_WORKS
-- Performing Test BLAS_F2C_DOUBLE_WORKS - Failed
-- Performing Test BLAS_F2C_FLOAT_WORKS
-- Performing Test BLAS_F2C_FLOAT_WORKS - Success
-- Performing Test BLAS_USE_CBLAS_DOT
-- Performing Test BLAS_USE_CBLAS_DOT - Success
-- Found a library with BLAS API (mkl).
-- Found a library with LAPACK API (mkl).
disabling CUDA because NOT USE_CUDA is set
-- CuDNN not found. Compiling without CuDNN support
-- MKLDNN_THREADING = OMP:COMP
CMake Warning (dev) at third_party/ideep/mkl-dnn/cmake/options.cmake:33 (option):
Policy CMP0077 is not set: option() honors normal variables. Run "cmake
--help-policy CMP0077" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
For compatibility with older versions of CMake, option is clearing the
normal variable 'MKLDNN_ENABLE_CONCURRENT_EXEC'.
Call Stack (most recent call first):
third_party/ideep/mkl-dnn/cmake/utils.cmake:24 (include)
third_party/ideep/mkl-dnn/CMakeLists.txt:74 (include)
This warning is for project developers. Use -Wno-dev to suppress it.
-- This is a product build
-- Found OpenMP_C: -fopenmp=libomp
-- Found OpenMP_CXX: -fopenmp=libomp
-- Found OpenMP: TRUE
-- OpenMP lib: provided by compiler
-- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE)
-- VTune profiling environment is unset
-- Found MKL-DNN: TRUE
-- Looking for clock_gettime in rt
-- Looking for clock_gettime in rt - found
-- Looking for mmap
-- Looking for mmap - found
-- Looking for shm_open
-- Looking for shm_open - found
-- Looking for shm_unlink
-- Looking for shm_unlink - found
-- Looking for malloc_usable_size
-- Looking for malloc_usable_size - found
-- Performing Test C_HAS_THREAD
-- Performing Test C_HAS_THREAD - Success
-- NUMA paths:
-- /usr/include
-- /usr/lib/x86_64-linux-gnu/libnuma.so
-- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT
-- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT - Failed
HIP VERSION: 1.5.19255
***** Library versions from dpkg *****
rocm-dev VERSION: 2.6.22
rocm-device-libs VERSION: 0.0.1
rocm-libs VERSION: 2.6.22
hsakmt-roct VERSION: 1.0.9-171-g4be439e
hsakmt-roct-dev VERSION: 1.0.9-171-g4be439e
hsa-ext-rocr-dev VERSION: 1.1.9-87-g1566fdd
hsa-rocr-dev VERSION: 1.1.9-87-g1566fdd
hcc VERSION: 1.3.19242
hip_base VERSION: 1.5.19255
hip_hcc VERSION: 1.5.19255
***** Library versions from cmake find_package *****
hiprand VERSION: 2.6.0
rocblas VERSION: 2.2.11.0
miopen VERSION: 2.0.0-7a8f787
rocfft VERSION: 0.9.4.0
hipsparse VERSION: 1.0.8.0
ROCm is enabled.
-- Check size of long double
-- Check size of long double - done
-- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE
-- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE - Success
-- Performing Test COMPILER_SUPPORTS_FLOAT128
-- Performing Test COMPILER_SUPPORTS_FLOAT128 - Success
-- Performing Test COMPILER_SUPPORTS_SSE2
-- Performing Test COMPILER_SUPPORTS_SSE2 - Success
-- Performing Test COMPILER_SUPPORTS_SSE4
-- Performing Test COMPILER_SUPPORTS_SSE4 - Success
-- Performing Test COMPILER_SUPPORTS_AVX
-- Performing Test COMPILER_SUPPORTS_AVX - Success
-- Performing Test COMPILER_SUPPORTS_FMA4
-- Performing Test COMPILER_SUPPORTS_FMA4 - Success
-- Performing Test COMPILER_SUPPORTS_AVX2
-- Performing Test COMPILER_SUPPORTS_AVX2 - Success
-- Performing Test COMPILER_SUPPORTS_SVE
-- Performing Test COMPILER_SUPPORTS_SVE - Failed
-- Performing Test COMPILER_SUPPORTS_AVX512F
-- Performing Test COMPILER_SUPPORTS_AVX512F - Success
-- Performing Test COMPILER_SUPPORTS_OPENMP
-- Performing Test COMPILER_SUPPORTS_OPENMP - Success
-- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES
-- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Success
-- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH
-- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Failed
-- Configuring build for SLEEF-v3.2
Target system: Linux-4.18.0-25-generic
Target processor: x86_64
Host system: Linux-4.18.0-25-generic
Host processor: x86_64
Detected C compiler: Clang @ /usr/bin/cc
-- Using option `-Wall -Wno-unused -Wno-attributes -Wno-unused-result -ffp-contract=off -fno-math-errno -fno-trapping-math` to compile libsleef
-- Building shared libs : OFF
-- MPFR : LIB_MPFR-NOTFOUND
-- GMP : LIBGMP-NOTFOUND
-- RUNNING_ON_TRAVIS : 0
-- COMPILER_SUPPORTS_OPENMP : 1
-- NCCL operators skipped due to no CUDA support
-- Including IDEEP operators
-- Including image processing operators
-- Excluding video processing operators due to no opencv
-- MPI operators skipped due to no MPI support
-- Include Observer library
-- pytorch is compiling with OpenMP.
OpenMP CXX_FLAGS: -fopenmp=libomp.
OpenMP libraries: /usr/local/lib/libiomp5.so.
-- Caffe2 is compiling with OpenMP.
OpenMP CXX_FLAGS: -fopenmp=libomp.
OpenMP libraries: /usr/local/lib/libiomp5.so.
-- Using ATen parallel backend: OMP
-- Using lib/python3/dist-packages as python relative installation path
CMake Warning at CMakeLists.txt:512 (message):
Generated cmake files are only fully tested if one builds with system glog,
gflags, and protobuf. Other settings may generate files that are not well
tested.
--
-- ******** Summary ********
-- General:
-- CMake version : 3.14.4
-- CMake command : /usr/local/lib/python3.6/dist-packages/cmake/data/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ compiler id : Clang
-- C++ compiler version : 7.1.0
-- BLAS : MKL
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-- Build type : Release
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/root/pytorch/third_party/fbgemm/src/GenerateKernel.h:196:7: note: forward declaration of template entity is here
codeCache_; ///< JIT Code Cache for reuse.
^
/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC16Avx512.cc:170:7: note: add an explicit instantiation declaration to suppress this warning if 'fbgemm::CodeGenBase<unsigned char, signed char, int, short>::codeCache_' is explicitly instantiated in another translation unit
if (codeCache_.find(kernelSig) != codeCache_.end()) {
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/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC16Avx512.cc:174:3: warning: instantiation of variable 'fbgemm::CodeGenBase<unsigned char, signed char, int, short>::code_' required here, but no definition is available [-Wundefined-var-template]
code_.reset(false);
^
/root/pytorch/third_party/fbgemm/src/GenerateKernel.h:191:42: note: forward declaration of template entity is here
static thread_local asmjit::CodeHolder code_; ///< JIT Code Holder for asmjit.
^
/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC16Avx512.cc:174:3: note: add an explicit instantiation declaration to suppress this warning if 'fbgemm::CodeGenBase<unsigned char, signed char, int, short>::code_' is explicitly instantiated in another translation unit
code_.reset(false);
^
/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC16Avx512.cc:175:14: warning: instantiation of variable 'fbgemm::CodeGenBase<unsigned char, signed char, int, short>::rt_' required here, but no definition is available [-Wundefined-var-template]
code_.init(rt_.getCodeInfo());
^
/root/pytorch/third_party/fbgemm/src/GenerateKernel.h:190:42: note: forward declaration of template entity is here
static thread_local asmjit::JitRuntime rt_; ///< JIT Runtime for asmjit.
^
/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC16Avx512.cc:175:14: note: add an explicit instantiation declaration to suppress this warning if 'fbgemm::CodeGenBase<unsigned char, signed char, int, short>::rt_' is explicitly instantiated in another translation unit
code_.init(rt_.getCodeInfo());
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/root/pytorch/third_party/fbgemm/src/GenerateKernel.h:196:7: note: forward declaration of template entity is here
codeCache_; ///< JIT Code Cache for reuse.
^
/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC32Avx512.cc:167:7: note: add an explicit instantiation declaration to suppress this warning if 'fbgemm::CodeGenBase<unsigned char, signed char, int, int>::codeCache_' is explicitly instantiated in another translation unit
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/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC32Avx512.cc:170:3: warning: instantiation of variable 'fbgemm::CodeGenBase<unsigned char, signed char, int, int>::code_' required here, but no definition is available [-Wundefined-var-template]
code_.reset(false);
^
/root/pytorch/third_party/fbgemm/src/GenerateKernel.h:191:42: note: forward declaration of template entity is here
static thread_local asmjit::CodeHolder code_; ///< JIT Code Holder for asmjit.
^
/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC32Avx512.cc:170:3: note: add an explicit instantiation declaration to suppress this warning if 'fbgemm::CodeGenBase<unsigned char, signed char, int, int>::code_' is explicitly instantiated in another translation unit
code_.reset(false);
^
/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC32Avx512.cc:171:14: warning: instantiation of variable 'fbgemm::CodeGenBase<unsigned char, signed char, int, int>::rt_' required here, but no definition is available [-Wundefined-var-template]
code_.init(rt_.getCodeInfo());
^
/root/pytorch/third_party/fbgemm/src/GenerateKernel.h:190:42: note: forward declaration of template entity is here
static thread_local asmjit::JitRuntime rt_; ///< JIT Runtime for asmjit.
^
/root/pytorch/third_party/fbgemm/src/GenerateKernelU8S8S32ACC32Avx512.cc:171:14: note: add an explicit instantiation declaration to suppress this warning if 'fbgemm::CodeGenBase<unsigned char, signed char, int, int>::rt_' is explicitly instantiated in another translation unit
code_.init(rt_.getCodeInfo());
^
3 warnings generated.
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[ 27%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/gemm/s8x8s32/jit_avx512_core_u8_copy_bn_kern.cpp.o
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Scanning dependencies of target renameSSE2.h_generated
[ 28%] Generating include/renamesse2.h
Generating renamesse2.h: mkrename 2 4 sse2
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Scanning dependencies of target caffe2_nvrtc
[ 28%] Building CXX object caffe2/CMakeFiles/caffe2_nvrtc.dir/__/aten/src/ATen/hip/nvrtc_stub/ATenNVRTC.cpp.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/default_value_objectwriter.cc.o
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/gemm_inner_product.cpp.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/error_listener.cc.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/field_mask_utility.cc.o
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/gemm_x8s8s32x_convolution.cpp.o
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/gemm_x8s8s32x_inner_product.cpp.o
In file included from /root/pytorch/aten/src/ATen/hip/nvrtc_stub/ATenNVRTC.cpp:1:
/root/pytorch/aten/src/ATen/hip/nvrtc_stub/ATenNVRTC.h:83:3: warning: 'hipCtxGetCurrent' is deprecated: This API is marked as deprecated and may not be supported in future releases.For more details please refer https://github.com/ROCm-Developer-Tools/HIP/tree/master/docs/markdown/hip_deprecated_api_list [-Wdeprecated-declarations]
AT_FORALL_NVRTC(CREATE_MEMBER)
 ^
/root/pytorch/aten/src/ATen/hip/nvrtc_stub/ATenNVRTC.h:75:5: note: expanded from macro 'AT_FORALL_NVRTC'
_(hipCtxGetCurrent) \
 ^
/opt/rocm/hip/include/hip/hcc_detail/hip_runtime_api.h:2224:1: note: 'hipCtxGetCurrent' has been explicitly marked deprecated here
DEPRECATED(DEPRECATED_MSG)
^
/opt/rocm/hip/include/hip/hcc_detail/hip_runtime_api.h:56:41: note: expanded from macro 'DEPRECATED'
#define DEPRECATED(msg) __attribute__ ((deprecated(msg)))
 ^
/root/pytorch/aten/src/ATen/hip/nvrtc_stub/ATenNVRTC.cpp:9:3: warning: 'hipCtxGetCurrent' is deprecated: This API is marked as deprecated and may not be supported in future releases.For more details please refer https://github.com/ROCm-Developer-Tools/HIP/tree/master/docs/markdown/hip_deprecated_api_list [-Wdeprecated-declarations]
AT_FORALL_NVRTC(CREATE_ASSIGN)
 ^
/root/pytorch/aten/src/ATen/hip/nvrtc_stub/ATenNVRTC.h:75:5: note: expanded from macro 'AT_FORALL_NVRTC'
_(hipCtxGetCurrent) \
 ^
/opt/rocm/hip/include/hip/hcc_detail/hip_runtime_api.h:2224:1: note: 'hipCtxGetCurrent' has been explicitly marked deprecated here
DEPRECATED(DEPRECATED_MSG)
^
/opt/rocm/hip/include/hip/hcc_detail/hip_runtime_api.h:56:41: note: expanded from macro 'DEPRECATED'
#define DEPRECATED(msg) __attribute__ ((deprecated(msg)))
 ^
2 warnings generated.
[ 28%] Linking CXX shared library ../lib/libcaffe2_nvrtc.so
[ 28%] Built target caffe2_nvrtc
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/jit_avx2_1x1_conv_kernel_f32.cpp.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_escaping.cc.o
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/jit_avx2_1x1_convolution.cpp.o
[ 28%] Built target fbgemm_avx2
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/jit_avx2_conv_kernel_f32.cpp.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_objectwriter.cc.o
Scanning dependencies of target mkrename_gnuabi
[ 28%] Building C object sleef/src/libm/CMakeFiles/mkrename_gnuabi.dir/mkrename_gnuabi.c.o
[ 28%] Linking C executable ../../bin/mkrename_gnuabi
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[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/jit_avx2_convolution.cpp.o
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/jit_avx512_common_1x1_conv_kernel.cpp.o
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/jit_avx512_common_1x1_convolution.cpp.o
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/jit_avx512_common_conv_kernel.cpp.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_stream_parser.cc.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/object_writer.cc.o
Scanning dependencies of target mkmasked_gnuabi
[ 28%] Building C object sleef/src/libm/CMakeFiles/mkmasked_gnuabi.dir/mkmasked_gnuabi.c.o
[ 28%] Linking C executable ../../bin/mkmasked_gnuabi
Scanning dependencies of target arraymap
[ 28%] Building C object sleef/src/common/CMakeFiles/arraymap.dir/arraymap.c.o
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[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/proto_writer.cc.o
[ 28%] Built target arraymap
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/protostream_objectsource.cc.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/protostream_objectwriter.cc.o
[ 28%] Building CXX object third_party/ideep/mkl-dnn/src/CMakeFiles/mkldnn.dir/cpu/jit_avx512_common_conv_winograd_kernel_f32.cpp.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/type_info.cc.o
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/type_info_test_helper.cc.o
In file included from /root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc:31:
/root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.h:113:24: warning: 'RenderBytes' overrides a member function but is not marked 'override' [-Winconsistent-missing-override]
virtual ProtoWriter* RenderBytes(StringPiece name, StringPiece value) {
^
/root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/object_writer.h:99:25: note: overridden virtual function is here
virtual ObjectWriter* RenderBytes(StringPiece name, StringPiece value) = 0;
^
[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/utility.cc.o
In file included from /root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc:31:
In file included from /root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.h:45:
/root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.h:113:24: warning: 'RenderBytes' overrides a member function but is not marked 'override' [-Winconsistent-missing-override]
virtual ProtoWriter* RenderBytes(StringPiece name, StringPiece value) {
^
/root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/object_writer.h:99:25: note: overridden virtual function is here
virtual ObjectWriter* RenderBytes(StringPiece name, StringPiece value) = 0;
^
1 warning generated.
Scanning dependencies of target generate-torch-sources
[ 28%] Generating ../../torch/csrc/autograd/generated/Functions.cpp, ../../torch/csrc/autograd/generated/VariableType_0.cpp, ../../torch/csrc/autograd/generated/VariableType_1.cpp, ../../torch/csrc/autograd/generated/VariableType_2.cpp, ../../torch/csrc/autograd/generated/VariableType_3.cpp, ../../torch/csrc/autograd/generated/VariableType_4.cpp, ../../torch/csrc/jit/generated/register_aten_ops_0.cpp, ../../torch/csrc/jit/generated/register_aten_ops_1.cpp, ../../torch/csrc/jit/generated/register_aten_ops_2.cpp, ../../torch/csrc/nn/THNN.cpp, ../../torch/csrc/nn/THCUNN.cpp, ../../torch/csrc/autograd/generated/VariableType.h, ../../torch/csrc/autograd/generated/Functions.h, ../../torch/csrc/autograd/generated/variable_factories.h, ../../torch/csrc/autograd/generated/python_functions.cpp, ../../torch/csrc/autograd/generated/python_variable_methods.cpp, ../../torch/csrc/autograd/generated/python_torch_functions.cpp, ../../torch/csrc/autograd/generated/python_nn_functions.cpp, ../../torch/csrc/autograd/generated/python_functions.h, ../../torch/csrc/autograd/generated/python_variable_methods_dispatch.h, ../../torch/csrc/autograd/generated/python_torch_functions_dispatch.h, ../../torch/csrc/autograd/generated/python_nn_functions.h, ../../torch/csrc/autograd/generated/python_nn_functions_dispatch.h
In file included from /root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc:31:
In file included from /root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.h:42:
In file included from /root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.h:45:
/root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.h:113:24: warning: 'RenderBytes' overrides a member function but is not marked 'override' [-Winconsistent-missing-override]
virtual ProtoWriter* RenderBytes(StringPiece name, StringPiece value) {
^
/root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/object_writer.h:99:25: note: overridden virtual function is here
virtual ObjectWriter* RenderBytes(StringPiece name, StringPiece value) = 0;
^
Scanning dependencies of target torch_python_stubs
[ 28%] Generating ../../../torch/__init__.pyi, ../../../torch/nn/functional.pyi
1 warning generated.
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[ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/json_util.cc.o
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In file included from /root/pytorch/third_party/protobuf/src/google/protobuf/util/json_util.cc:41:
In file included from /root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.h:45:
/root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.h:113:24: warning: 'RenderBytes' overrides a member function but is not marked 'override' [-Winconsistent-missing-override]
virtual ProtoWriter* RenderBytes(StringPiece name, StringPiece value) {
^
/root/pytorch/third_party/protobuf/src/google/protobuf/util/internal/object_writer.h:99:25: note: overridden virtual function is here
virtual ObjectWriter* RenderBytes(StringPiece name, StringPiece value) = 0;
^
1 warning generated.
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/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
void triu_tril_kernel(
^
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/BatchLinearAlgebra.hip:962:6: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
32 warnings generated.
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Dropout.hip.o
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Embedding.hip.o
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_EmbeddingBackwardKernel.hip.o
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_EmbeddingBag.hip.o
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_FillKernel.hip.o
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_FractionalMaxPool2d.hip.o
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_FractionalMaxPool3d.hip.o
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_GridSampler.hip.o
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_HIPScalar.hip.o
[ 48%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Im2Col.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_IndexKernel.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Indexing.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Lerp.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_LinearAlgebra.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Loss.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_LossCTC.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_MaxUnpooling.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Normalization.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_RNN.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_RangeFactories.hip.o
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:106:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:187:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:197:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:198:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:199:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:272:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:273:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:274:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:364:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:365:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:366:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:378:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:469:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:481:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:482:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:483:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:580:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:581:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:582:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
19 warnings generated.
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Reduce.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_ReduceOpsKernel.hip.o
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:106:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:187:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:197:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:198:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:199:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:272:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:273:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:274:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:364:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:365:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:366:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:378:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:469:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:481:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:482:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:483:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:580:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList output_size,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:581:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList stride,
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
/root/pytorch/aten/src/ATen/native/hip/MaxUnpooling.hip:582:5: warning: 'IntList' is deprecated [-Wdeprecated-declarations]
IntList padding) {
^
/root/pytorch/c10/util/ArrayRef.h:278:1: note: 'IntList' has been explicitly marked deprecated here
C10_DEFINE_DEPRECATED_USING(IntList, ArrayRef<int64_t>)
^
/root/pytorch/c10/util/Deprecated.h:55:77: note: expanded from macro 'C10_DEFINE_DEPRECATED_USING'
# define C10_DEFINE_DEPRECATED_USING(TypeName, TypeThingy) using TypeName [[deprecated]] = TypeThingy;
^
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_ReflectionPad.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Repeat.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_ReplicationPadding.hip.o
19 warnings generated.
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Resize.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_SoftMax.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_SortingKthValue.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_SparseMM.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_SpectralOps.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_SummaryOps.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_TensorCompare.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_TensorFactories.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_TensorTransformations.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_UnaryOpsKernel.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_Unique.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_UpSampleBicubic2d.hip.o
In file included from /root/pytorch/aten/src/ATen/native/hip/SoftMax.hip:15:
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
__global__ void softmax_warp_backward(output_t *gradInput, const input_t *grad, const input_t *output, int batch_size, int stride, int element_count)
^
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
__global__ void softmax_warp_forward(output_t *dst, const input_t *src, int batch_size, int stride, int element_count)
^
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:65:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
__global__ void softmax_warp_backward(output_t *gradInput, const input_t *grad, const input_t *output, int batch_size, int stride, int element_count)
^
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
/root/pytorch/aten/src/ATen/native/hip/PersistentSoftmax.cuh:156:17: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning]
96 warnings generated.
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_UpSampleBilinear2d.hip.o
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_UpSampleLinear1d.hip.o
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
warning: <unknown>:0:0: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering
[ 50%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_UpSampleNearest1d.hip.o
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[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/hip/torch_generated_WeightNorm.hip.o
[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/sparse/hip/torch_generated_SparseHIPBlas.hip.o
[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/sparse/hip/torch_generated_SparseHIPTensor.hip.o
[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/sparse/hip/torch_generated_SparseHIPTensorMath.hip.o
[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/hip/torch_generated_fake_quantize_per_tensor_affine.hip.o
[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/core/hip/torch_generated_common_miopen.hip.o
[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/core/hip/torch_generated_context_gpu.hip.o
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[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/utils/math/hip/torch_generated_reduce.hip.o
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[ 51%] Building HIPCC object caffe2/CMakeFiles/torch.dir/operators/hip/torch_generated_abs_op.hip.o
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In file included from /root/pytorch/caffe2/operators/hip/abs_op.hip:2:
In file included from /root/pytorch/caffe2/operators/abs_op.h:6:
In file included from /root/pytorch/caffe2/operators/elementwise_ops.h:15:
In file included from /root/pytorch/caffe2/utils/eigen_utils.h:6:
In file included from /root/pytorch/cmake/../third_party/eigen/Eigen/Core:202:
/root/pytorch/cmake/../third_party/eigen/Eigen/src/Core/arch/GPU/PacketMathHalf.h:149:1: warning: control reaches end of non-void function [-Wreturn-type]
}
^
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1 warning generated.
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/root/pytorch/cmake/../third_party/eigen/Eigen/src/Core/arch/GPU/PacketMathHalf.h:149:1: warning: control reaches end of non-void function [-Wreturn-type]
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/root/pytorch/cmake/../third_party/eigen/Eigen/src/Core/arch/GPU/PacketMathHalf.h:149:1: warning: control reaches end of non-void function [-Wreturn-type]
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/root/pytorch/cmake/../third_party/eigen/Eigen/src/Core/arch/GPU/PacketMathHalf.h:149:1: warning: control reaches end of non-void function [-Wreturn-type]
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In file included from /root/pytorch/caffe2/operators/hip/tan_op.hip:2:
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/root/pytorch/cmake/../third_party/eigen/Eigen/src/Core/arch/GPU/PacketMathHalf.h:149:1: warning: control reaches end of non-void function [-Wreturn-type]
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/root/pytorch/cmake/../third_party/eigen/Eigen/src/Core/arch/GPU/PacketMathHalf.h:149:1: warning: control reaches end of non-void function [-Wreturn-type]
}
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[ 57%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/AdaptiveAveragePooling.cpp.o
[ 57%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp.o
[ 57%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/AdaptiveMaxPooling2d.cpp.o
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/root/pytorch/aten/src/ATen/core/op_registration/infer_schema.cpp:7:15: warning: unused function 'serialize_schema' [-Wunused-function]
std::string serialize_schema(const FunctionSchema& schema) {
 ^
[ 57%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/AffineGridGenerator.cpp.o
1 warning generated.
[ 57%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/AveragePool2d.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/AveragePool3d.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/BatchLinearAlgebra.cpp.o
/root/pytorch/aten/src/ATen/native/Activation.cpp:120:11: warning: unused variable 'input_numel' [-Wunused-variable]
int64_t input_numel = input.numel();
 ^
/root/pytorch/aten/src/ATen/native/Activation.cpp:244:11: warning: unused variable 'input_numel' [-Wunused-variable]
int64_t input_numel = input.numel();
 ^
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/BinaryOps.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Col2Im.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/ConstantPadNd.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/BatchLinearAlgebra.cpp:7:
/root/pytorch/aten/src/ATen/native/LinearAlgebraUtils.h:146:24: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'long' [-Wsign-compare]
for (size_t i = 0; i < batch_size; i++) {
 ~ ^ ~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/LinearAlgebraUtils.h:217:27: warning: comparison of integers of different signs: 'std::vector::size_type' (aka 'unsigned long') and 'const int64_t' (aka 'const long') [-Wsign-compare]
TORCH_CHECK(perm.size() == ndim,
 ~~~~~~~~~~~ ^ ~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
In file included from /root/pytorch/aten/src/ATen/native/Col2Im.cpp:8:
/root/pytorch/aten/src/ATen/native/im2col_shape_check.h:169:11: warning: unused variable 'n_input_plane' [-Wunused-variable]
int64_t n_input_plane = input.size(dim_batch + 1);
 ^
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Convolution.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/ConvolutionTBC.cpp.o
2 warnings generated.
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/ConvolutionTranspose2d.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/ConvolutionTranspose3d.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Copy.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Cross.cpp.o
1 warning generated.
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/DilatedConvolution.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/DilatedMaxPool2d.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/DilatedMaxPool3d.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/DispatchStub.cpp.o
/root/pytorch/aten/src/ATen/native/ConstantPadNd.cpp:14:23: warning: comparison of integers of different signs: 'long' and 'unsigned long' [-Wsign-compare]
TORCH_CHECK(l_inp >= l_pad, "Length of pad should be no more than twice the number of "
 ~~~~~ ^ ~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/ConstantPadNd.cpp:44:23: warning: comparison of integers of different signs: 'int' and 'unsigned long' [-Wsign-compare]
for (int i = 0; i < l_diff; i ++) {
 ~ ^ ~~~~~~
/root/pytorch/aten/src/ATen/native/ConstantPadNd.cpp:48:23: warning: comparison of integers of different signs: 'int' and 'unsigned long' [-Wsign-compare]
for (int i = 0; i < l_pad; i++) {
 ~ ^ ~~~~~
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Distance.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Distributions.cpp.o
3 warnings generated.
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Dropout.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Embedding.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/EmbeddingBag.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Fill.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/FractionalMaxPool2d.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/FractionalMaxPool3d.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/GridSampler.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Im2Col.cpp.o
2 warnings generated.
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Indexing.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Integration.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Itertools.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/LegacyBridge.cpp.o
/root/pytorch/aten/src/ATen/native/EmbeddingBag.cpp:88:26: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t i = 1; i < offsets.numel(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/EmbeddingBag.cpp:177:26: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t i = 1; i < offsets.numel(); ++i) {
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[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/LegacyDefinitions.cpp.o
[ 58%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/LegacyNNDefinitions.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/Im2Col.cpp:8:
/root/pytorch/aten/src/ATen/native/im2col_shape_check.h:169:11: warning: unused variable 'n_input_plane' [-Wunused-variable]
int64_t n_input_plane = input.size(dim_batch + 1);
 ^
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Lerp.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Linear.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/Indexing.cpp:52:
/root/pytorch/aten/src/ATen/native/IndexingUtils.h:88:1: warning: unused function 'transposeToFrontAndInvPerm' [-Wunused-function]
transposeToFrontAndInvPerm(Tensor self, TensorList indices) {
^
1 warning generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/LinearAlgebra.cpp.o
/root/pytorch/aten/src/ATen/native/LegacyBridge.cpp:8:15: warning: unused function '_has_native' [-Wunused-function]
static bool _has_native(const Tensor& self) {
 ^
/root/pytorch/aten/src/ATen/native/GridSampler.cpp:92:22: warning: function 'within_bounds_2d' is not needed and will not be emitted [-Wunneeded-internal-declaration]
static inline bool within_bounds_2d(int64_t h, int64_t w, int64_t H, int64_t W) {
 ^
1 warning generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Loss.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/LossCTC.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/MaxUnpooling.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Memory.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/NNPACK.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/NamedTensor.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Normalization.cpp.o
2 warnings generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Onehot.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/PackedSequence.cpp.o
1 warning generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/PixelShuffle.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/LinearAlgebra.cpp:5:
/root/pytorch/aten/src/ATen/native/LinearAlgebraUtils.h:146:24: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'long' [-Wsign-compare]
for (size_t i = 0; i < batch_size; i++) {
 ~ ^ ~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/LinearAlgebraUtils.h:217:27: warning: comparison of integers of different signs: 'std::vector::size_type' (aka 'unsigned long') and 'const int64_t' (aka 'const long') [-Wsign-compare]
TORCH_CHECK(perm.size() == ndim,
 ~~~~~~~~~~~ ^ ~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
1 warning generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Pooling.cpp.o
/root/pytorch/aten/src/ATen/native/MaxUnpooling.cpp:103:13: warning: unused variable 'numBatch' [-Wunused-variable]
int64_t numBatch = 1;
 ^
/root/pytorch/aten/src/ATen/native/LinearAlgebra.cpp:590:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'unsigned long' [-Wsign-compare]
for (int64_t i = 0; i < n; i++) {
 ~ ^ ~
/root/pytorch/aten/src/ATen/native/LinearAlgebra.cpp:607:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'unsigned long' [-Wsign-compare]
for (int64_t l = 1; l < n; l++) {
 ~ ^ ~
/root/pytorch/aten/src/ATen/native/LinearAlgebra.cpp:608:29: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'unsigned long' [-Wsign-compare]
for (int64_t i = 0; i < n - l; i++) {
 ~ ^ ~~~~~
/root/pytorch/aten/src/ATen/native/LossCTC.cpp:356:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'size_t' (aka 'unsigned long') [-Wsign-compare]
for (int64_t b = 0; b < input_lengths.size(); b++) {
 ~ ^ ~~~~~~~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/LossCTC.cpp:359:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'size_t' (aka 'unsigned long') [-Wsign-compare]
for (int64_t b = 0; b < target_lengths.size(); b++) {
 ~ ^ ~~~~~~~~~~~~~~~~~~~~~
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/QuantizedLinear.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/RNN.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/RangeFactories.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/ReduceOps.cpp.o
/root/pytorch/aten/src/ATen/native/NNPACK.cpp:129:15: warning: unused variable 'input_channels_dim' [-Wunused-const-variable]
constexpr int input_channels_dim = 1;
 ^
/root/pytorch/aten/src/ATen/native/NNPACK.cpp:137:15: warning: unused variable 'weight_input_channels_dim' [-Wunused-const-variable]
constexpr int weight_input_channels_dim = 1;
 ^
/root/pytorch/aten/src/ATen/native/NNPACK.cpp:138:15: warning: unused variable 'weight_height_dim' [-Wunused-const-variable]
constexpr int weight_height_dim = 2;
 ^
/root/pytorch/aten/src/ATen/native/NNPACK.cpp:139:15: warning: unused variable 'weight_width_dim' [-Wunused-const-variable]
constexpr int weight_width_dim = 3;
 ^
/root/pytorch/aten/src/ATen/native/NNPACK.cpp:142:15: warning: unused variable 'max_dim' [-Wunused-const-variable]
constexpr int max_dim = 3;
 ^
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/ReflectionPad.cpp.o
1 warning generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Repeat.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/ReplicationPadding.cpp.o
5 warnings generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Resize.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/QuantizedLinear.cpp:8:
/root/pytorch/third_party/fbgemm/include/fbgemm/FbgemmFP16.h:134:24: warning: comparison of integers of different signs: 'uint64_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
((block_row_id != nbrow_ - 1) ? (blockRowSize() * blockColSize())
 ~~~~~~~~~~~~ ^ ~~~~~~~~~~
In file included from /root/pytorch/aten/src/ATen/native/QuantizedLinear.cpp:9:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/QuantizedLinear.cpp:169:24: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (size_t i = 0; i < N; ++i) {
 ~ ^ ~
/root/pytorch/aten/src/ATen/native/QuantizedLinear.cpp:171:26: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (size_t j = 0; j < K; ++j) {
 ~ ^ ~
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Scalar.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/SobolEngineOps.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/QuantizedLinear.cpp:7:
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1431:14: warning: unused function 'fbgemmAlignedAlloc' [-Wunused-function]
static void* fbgemmAlignedAlloc(size_t __align, size_t __size) {
 ^
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1460:13: warning: unused function 'fbgemmGetRange' [-Wunused-function]
static void fbgemmGetRange(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:172:25: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < vals.size(); i += 2) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:68: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::pair_vec<at::Tensor>' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:875:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
ONE_HIDDEN_RNN(gru, GRUCell<CellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:785:18: note: expanded from macro 'ONE_HIDDEN_RNN'
auto results = _rnn_impl_with_concat<CELL, FullLayer, FullBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:172:25: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < vals.size(); i += 2) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:87: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::pair_vec<at::native::(anonymous namespace)::CellParams>' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:875:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
ONE_HIDDEN_RNN(gru, GRUCell<CellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:785:18: note: expanded from macro 'ONE_HIDDEN_RNN'
auto results = _rnn_impl_with_concat<CELL, FullLayer, FullBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:25: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, std::pair<at::Tensor, at::Tensor>, std::pair<at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::CellParams> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:875:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
ONE_HIDDEN_RNN(gru, GRUCell<CellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:785:18: note: expanded from macro 'ONE_HIDDEN_RNN'
auto results = _rnn_impl_with_concat<CELL, FullLayer, FullBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:183:25: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < vals.size(); i++) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:699:35: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::unpair_vec<at::Tensor>' requested here
return {bidir_result.outputs, unpair_vec(std::move(bidir_result.final_hidden))};
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:875:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
ONE_HIDDEN_RNN(gru, GRUCell<CellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:785:18: note: expanded from macro 'ONE_HIDDEN_RNN'
auto results = _rnn_impl_with_concat<CELL, FullLayer, FullBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:701:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, at::Tensor, at::native::(anonymous namespace)::CellParams>' requested here
return apply_layer_stack(LayerT<hidden_type,cell_params>{cell}, input, hiddens, params, num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:875:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
ONE_HIDDEN_RNN(gru, GRUCell<CellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:785:18: note: expanded from macro 'ONE_HIDDEN_RNN'
auto results = _rnn_impl_with_concat<CELL, FullLayer, FullBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:25: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::native::(anonymous namespace)::PackedSequence, std::pair<at::Tensor, at::Tensor>, std::pair<at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::CellParams> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:875:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
ONE_HIDDEN_RNN(gru, GRUCell<CellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:817:17: note: expanded from macro 'ONE_HIDDEN_RNN'
auto result = _rnn_impl_with_concat<CELL, PackedLayer, PackedBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:701:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::native::(anonymous namespace)::PackedSequence, at::Tensor, at::native::(anonymous namespace)::CellParams>' requested here
return apply_layer_stack(LayerT<hidden_type,cell_params>{cell}, input, hiddens, params, num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:875:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::CellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
ONE_HIDDEN_RNN(gru, GRUCell<CellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:817:17: note: expanded from macro 'ONE_HIDDEN_RNN'
auto result = _rnn_impl_with_concat<CELL, PackedLayer, PackedBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
2 warnings generated.
/root/pytorch/aten/src/ATen/native/RNN.cpp:172:25: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < vals.size(); i += 2) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:87: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::pair_vec<at::native::(anonymous namespace)::QuantizedCellParams>' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:876:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
ONE_HIDDEN_QRNN(quantized_gru, GRUCell<QuantizedCellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:843:18: note: expanded from macro 'ONE_HIDDEN_QRNN'
auto results = _rnn_impl_with_concat<CELL, FullLayer, FullBidirectionalLayer>( \
 ^
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/SoftMax.cpp.o
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:25: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, std::pair<at::Tensor, at::Tensor>, std::pair<at::native::(anonymous namespace)::QuantizedCellParams, at::native::(anonymous namespace)::QuantizedCellParams> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:876:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
ONE_HIDDEN_QRNN(quantized_gru, GRUCell<QuantizedCellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:843:18: note: expanded from macro 'ONE_HIDDEN_QRNN'
auto results = _rnn_impl_with_concat<CELL, FullLayer, FullBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:701:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, at::Tensor, at::native::(anonymous namespace)::QuantizedCellParams>' requested here
return apply_layer_stack(LayerT<hidden_type,cell_params>{cell}, input, hiddens, params, num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:876:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
ONE_HIDDEN_QRNN(quantized_gru, GRUCell<QuantizedCellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:843:18: note: expanded from macro 'ONE_HIDDEN_QRNN'
auto results = _rnn_impl_with_concat<CELL, FullLayer, FullBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:25: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::native::(anonymous namespace)::PackedSequence, std::pair<at::Tensor, at::Tensor>, std::pair<at::native::(anonymous namespace)::QuantizedCellParams, at::native::(anonymous namespace)::QuantizedCellParams> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:876:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
ONE_HIDDEN_QRNN(quantized_gru, GRUCell<QuantizedCellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:869:17: note: expanded from macro 'ONE_HIDDEN_QRNN'
auto result = _rnn_impl_with_concat<CELL, PackedLayer, PackedBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:701:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::native::(anonymous namespace)::PackedSequence, at::Tensor, at::native::(anonymous namespace)::QuantizedCellParams>' requested here
return apply_layer_stack(LayerT<hidden_type,cell_params>{cell}, input, hiddens, params, num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:711:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
auto result = _rnn_impl<CellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:876:1: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl_with_concat<at::native::(anonymous namespace)::GRUCell<at::native::(anonymous namespace)::QuantizedCellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
ONE_HIDDEN_QRNN(quantized_gru, GRUCell<QuantizedCellParams>)
^
/root/pytorch/aten/src/ATen/native/RNN.cpp:869:17: note: expanded from macro 'ONE_HIDDEN_QRNN'
auto result = _rnn_impl_with_concat<CELL, PackedLayer, PackedBidirectionalLayer>( \
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:172:25: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < vals.size(); i += 2) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:68: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::pair_vec<std::tuple<at::Tensor, at::Tensor> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:912:18: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:25: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, std::pair<std::tuple<at::Tensor, at::Tensor>, std::tuple<at::Tensor, at::Tensor> >, std::pair<at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::CellParams> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:912:18: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:183:25: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < vals.size(); i++) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:699:35: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::unpair_vec<std::tuple<at::Tensor, at::Tensor> >' requested here
return {bidir_result.outputs, unpair_vec(std::move(bidir_result.final_hidden))};
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:912:18: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:701:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, std::tuple<at::Tensor, at::Tensor>, at::native::(anonymous namespace)::CellParams>' requested here
return apply_layer_stack(LayerT<hidden_type,cell_params>{cell}, input, hiddens, params, num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::CellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:912:18: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::Tensor>' requested here
auto results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:25: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::native::(anonymous namespace)::PackedSequence, std::pair<std::tuple<at::Tensor, at::Tensor>, std::tuple<at::Tensor, at::Tensor> >, std::pair<at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::CellParams> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::CellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:941:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
auto result = _lstm_impl<PackedLayer, PackedBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:701:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::native::(anonymous namespace)::PackedSequence, std::tuple<at::Tensor, at::Tensor>, at::native::(anonymous namespace)::CellParams>' requested here
return apply_layer_stack(LayerT<hidden_type,cell_params>{cell}, input, hiddens, params, num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::CellParams>, PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:941:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<PackedLayer, PackedBidirectionalLayer, at::native::(anonymous namespace)::CellParams, at::native::(anonymous namespace)::PackedSequence>' requested here
auto result = _lstm_impl<PackedLayer, PackedBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:25: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, std::pair<std::tuple<at::Tensor, at::Tensor>, std::tuple<at::Tensor, at::Tensor> >, std::pair<at::native::(anonymous namespace)::QuantizedCellParams, at::native::(anonymous namespace)::QuantizedCellParams> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::QuantizedCellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:1000:15: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:701:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, std::tuple<at::Tensor, at::Tensor>, at::native::(anonymous namespace)::QuantizedCellParams>' requested here
return apply_layer_stack(LayerT<hidden_type,cell_params>{cell}, input, hiddens, params, num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::QuantizedCellParams>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:1000:15: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParams, at::Tensor>' requested here
results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:172:25: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < vals.size(); i += 2) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:87: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::pair_vec<at::native::(anonymous namespace)::QuantizedCellParamsFP16>' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::QuantizedCellParamsFP16>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParamsFP16, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:1005:15: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParamsFP16, at::Tensor>' requested here
results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
In file included from /root/pytorch/aten/src/ATen/native/ReduceOps.cpp:9:
/root/pytorch/aten/src/ATen/native/ReduceOpsUtils.h:32:13: warning: unused function '_dimreduce_return_trivial_no_ident' [-Wunused-function]
static bool _dimreduce_return_trivial_no_ident(Tensor &result, const Tensor &self,
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:698:25: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, std::pair<std::tuple<at::Tensor, at::Tensor>, std::tuple<at::Tensor, at::Tensor> >, std::pair<at::native::(anonymous namespace)::QuantizedCellParamsFP16, at::native::(anonymous namespace)::QuantizedCellParamsFP16> >' requested here
auto bidir_result = apply_layer_stack(BidirLayer{cell}, input, pair_vec(hiddens), pair_vec(params), num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::QuantizedCellParamsFP16>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParamsFP16, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:1005:15: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParamsFP16, at::Tensor>' requested here
results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:664:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == hiddens.size(), "Expected more hidden states in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/RNN.cpp:701:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::apply_layer_stack<at::Tensor, std::tuple<at::Tensor, at::Tensor>, at::native::(anonymous namespace)::QuantizedCellParamsFP16>' requested here
return apply_layer_stack(LayerT<hidden_type,cell_params>{cell}, input, hiddens, params, num_layers, dropout_p, train);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:731:17: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_rnn_impl<at::native::(anonymous namespace)::LSTMCell<at::native::(anonymous namespace)::QuantizedCellParamsFP16>, FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParamsFP16, at::Tensor>' requested here
auto result = _rnn_impl<LSTMCell<cell_params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional);
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:1005:15: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_lstm_impl<FullLayer, FullBidirectionalLayer, at::native::(anonymous namespace)::QuantizedCellParamsFP16, at::Tensor>' requested here
results = _lstm_impl<FullLayer, FullBidirectionalLayer>(
 ^
/root/pytorch/aten/src/ATen/native/RNN.cpp:665:26: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(num_layers == weights.size(), "Expected more weights in stacked_rnn");
 ~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
5 warnings generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Sorting.cpp.o
/root/pytorch/aten/src/ATen/native/ReplicationPadding.cpp:572:11: warning: unused variable 'nslices' [-Wunused-variable]
int64_t nslices = input.size(dimslices);
 ^
6 warnings generated.
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/SpectralOps.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/SummaryOps.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TensorCompare.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TensorConversions.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TensorFactories.cpp.o
[ 59%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TensorIterator.cpp.o
1 warning generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TensorIteratorReduce.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TensorProperties.cpp.o
/root/pytorch/aten/src/ATen/native/Sorting.cpp:42:26: warning: unused variable 'swap' [-Wunused-variable]
int64_t P, L, R, i, j, swap;
 ^
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TensorShape.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TensorTransformations.cpp.o
1 warning generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/TypeProperties.cpp.o
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:138:11: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<unsigned char, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
quick_select_template(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:126:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:138:11: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<signed char, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
quick_select_template(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:126:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:138:11: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<double, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
quick_select_template(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:126:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:138:11: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<float, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
quick_select_template(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:126:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:138:11: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<int, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
quick_select_template(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:126:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:138:11: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<long, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
quick_select_template(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:126:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:138:11: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<short, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
quick_select_template(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:126:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:125:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/aten/src/ATen/native/Sorting.cpp:7:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:242:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<unsigned char, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3)>' requested here
quick_select_template(
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:242:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<signed char, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3)>' requested here
quick_select_template(
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:242:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<double, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3)>' requested here
quick_select_template(
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:242:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<float, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3)>' requested here
quick_select_template(
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:242:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<int, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3)>' requested here
quick_select_template(
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:242:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<long, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3)>' requested here
quick_select_template(
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:43:12: warning: unused variable 'rswap' [-Wunused-variable]
scalar_t rswap, piv;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:242:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::quick_select_template<short, (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3), (lambda at /root/pytorch/aten/src/ATen/native/Sorting.cpp:238:3)>' requested here
quick_select_template(
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:33:19: warning: unused variable 'MAX_LEVELS' [-Wunused-const-variable]
constexpr int64_t MAX_LEVELS = 300;
 ^
/root/pytorch/aten/src/ATen/native/Sorting.cpp:34:19: warning: unused variable 'M_SMALL' [-Wunused-const-variable]
constexpr int64_t M_SMALL = 10; // Limit for small subfiles
 ^
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/UnaryOps.cpp.o
/root/pytorch/aten/src/ATen/native/TensorIterator.cpp:349:25: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
AT_ASSERT(perm.size() == ndim());
 ~~~~~~~~~~~ ^ ~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/TensorIterator.cpp:440:25: warning: comparison of integers of different signs: 'c10::SmallVectorTemplateCommon::size_type' (aka 'unsigned long') and 'int' [-Wsign-compare]
while (strides.size() < 2 * ntensors()) {
 ~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~~~
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/Unique.cpp.o
/root/pytorch/aten/src/ATen/native/TensorIteratorReduce.cpp:137:23: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
for (int i = 0; i < non_reduced_shape.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /root/pytorch/aten/src/ATen/native/TensorCompare.cpp:6:
/root/pytorch/aten/src/ATen/native/ReduceOpsUtils.h:15:13: warning: unused function '_dimreduce_return_trivial' [-Wunused-function]
static bool _dimreduce_return_trivial(Tensor &result, const Tensor &self,
 ^
/root/pytorch/aten/src/ATen/native/ReduceOpsUtils.h:47:30: warning: unused function '_allreduce_return_trivial' [-Wunused-function]
static c10::optional<Tensor> _allreduce_return_trivial(
 ^
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/UpSampleBicubic2d.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/UpSampleBilinear2d.cpp.o
/root/pytorch/aten/src/ATen/native/TensorShape.cpp:27:24: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t i = 0; i < shape_tensor.numel(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/TensorShape.cpp:60:25: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'size_t' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < s1.size(); ++i) {
 ~ ^ ~~~~~~~~~
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/UpSampleLinear1d.cpp.o
1 warning generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/UpSampleNearest1d.cpp.o
38 warnings generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/UpSampleNearest2d.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/UpSampleNearest3d.cpp.o
/root/pytorch/aten/src/ATen/native/Unique.cpp:208:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < indices.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/Unique.cpp:208:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < indices.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/Unique.cpp:256:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_unique_dim_cpu_template<unsigned char>' requested here
return _unique_dim_cpu_template<scalar_t>(self, dim, false, return_inverse, return_counts);
 ^
/root/pytorch/aten/src/ATen/native/Unique.cpp:208:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < indices.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/Unique.cpp:256:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_unique_dim_cpu_template<signed char>' requested here
return _unique_dim_cpu_template<scalar_t>(self, dim, false, return_inverse, return_counts);
 ^
/root/pytorch/aten/src/ATen/native/Unique.cpp:208:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < indices.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/Unique.cpp:256:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_unique_dim_cpu_template<double>' requested here
return _unique_dim_cpu_template<scalar_t>(self, dim, false, return_inverse, return_counts);
 ^
/root/pytorch/aten/src/ATen/native/Unique.cpp:208:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < indices.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/Unique.cpp:256:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_unique_dim_cpu_template<float>' requested here
return _unique_dim_cpu_template<scalar_t>(self, dim, false, return_inverse, return_counts);
 ^
/root/pytorch/aten/src/ATen/native/Unique.cpp:208:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < indices.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/Unique.cpp:256:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_unique_dim_cpu_template<int>' requested here
return _unique_dim_cpu_template<scalar_t>(self, dim, false, return_inverse, return_counts);
 ^
/root/pytorch/aten/src/ATen/native/Unique.cpp:208:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < indices.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/Unique.cpp:256:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_unique_dim_cpu_template<long>' requested here
return _unique_dim_cpu_template<scalar_t>(self, dim, false, return_inverse, return_counts);
 ^
/root/pytorch/aten/src/ATen/native/Unique.cpp:208:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < indices.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/Unique.cpp:256:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::_unique_dim_cpu_template<short>' requested here
return _unique_dim_cpu_template<scalar_t>(self, dim, false, return_inverse, return_counts);
 ^
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/UpSampleTrilinear3d.cpp.o
2 warnings generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/VariableMethodStubs.cpp.o
/root/pytorch/aten/src/ATen/native/UnaryOps.cpp:144:13: warning: unused function 'propagate_names_if_namedtensor_enabled' [-Wunused-function]
static void propagate_names_if_namedtensor_enabled(Tensor& result, const Tensor& src) {
 ^
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/WeightNorm.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/layer_norm.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/sparse/SparseTensor.cpp.o
39 warnings generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/sparse/SparseTensorMath.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/Copy.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/QTensor.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/TensorCompare.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/TensorFactories.cpp.o
2 warnings generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/fake_quantize_per_tensor_affine.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/init_qnnpack.cpp.o
1 warning generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/q_avgpool.cpp.o
2 warnings generated.
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qadd.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qconcat.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qconv.cpp.o
/root/pytorch/aten/src/ATen/native/sparse/SparseTensor.cpp:204:27: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'long' [-Wsign-compare]
TORCH_CHECK(size.size() == sparse_dim + dense_dim,
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/native/sparse/SparseTensorMath.cpp:879:17: warning: unused variable 'dense_dim' [-Wunused-variable]
const int64_t dense_dim = input.dense_dim();
 ^
/root/pytorch/aten/src/ATen/native/sparse/SparseTensorMath.cpp:917:29: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int64_t i = 0; i < dims_to_keep_v.size(); i++) {
 ~ ^ ~~~~~~~~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/sparse/SparseTensorMath.cpp:1025:42: warning: comparison of integers of different signs: 'std::vector::size_type' (aka 'unsigned long') and 'long' [-Wsign-compare]
AT_ASSERT(dense_expand_size.size() == (input_values.dim() - 1));
 ~~~~~~~~~~~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qconv_prepack.cpp.o
[ 60%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qconv_unpack.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qlinear.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qlinear_prepack.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qlinear_unpack.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qnnpack_fc.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/quantized/TensorCompare.cpp:6:
/root/pytorch/aten/src/ATen/native/ReduceOpsUtils.h:15:13: warning: unused function '_dimreduce_return_trivial' [-Wunused-function]
static bool _dimreduce_return_trivial(Tensor &result, const Tensor &self,
 ^
/root/pytorch/aten/src/ATen/native/ReduceOpsUtils.h:32:13: warning: unused function '_dimreduce_return_trivial_no_ident' [-Wunused-function]
static bool _dimreduce_return_trivial_no_ident(Tensor &result, const Tensor &self,
 ^
/root/pytorch/aten/src/ATen/native/ReduceOpsUtils.h:47:30: warning: unused function '_allreduce_return_trivial' [-Wunused-function]
static c10::optional<Tensor> _allreduce_return_trivial(
 ^
3 warnings generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qnnpack_relu.cpp.o
8 warnings generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qpool.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:5:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/quantized/cpu/qrelu.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv_prepack.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:5:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconcat.cpp:2:
In file included from /root/pytorch/aten/src/ATen/core/op_registration/op_registration.h:8:
In file included from /root/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:3:
In file included from /root/pytorch/aten/src/ATen/core/dispatch/OperatorEntry.h:3:
In file included from /root/pytorch/aten/src/ATen/core/dispatch/DispatchTable.h:3:
In file included from /root/pytorch/aten/src/ATen/core/function_schema.h:3:
In file included from /root/pytorch/aten/src/ATen/core/jit_type.h:6:
In file included from /root/pytorch/aten/src/ATen/core/ivalue.h:569:
/root/pytorch/aten/src/ATen/core/ivalue_inl.h:473:10: warning: 'generic_to<at::Tensor>' is deprecated [-Wdeprecated-declarations]
return generic_to(std::move(*this), _fake_type<T>{});
 ^
/root/pytorch/aten/src/ATen/core/op_registration/kernel_functor.h:167:25: note: in instantiation of function template specialization 'c10::IValue::to<std::vector<at::Tensor, std::allocator<at::Tensor> > >' requested here
return std::move(v).to<T>();
 ^
/root/pytorch/aten/src/ATen/core/op_registration/kernel_functor.h:183:23: note: in instantiation of function template specialization 'c10::detail::ivalue_to_arg<std::vector<at::Tensor, std::allocator<at::Tensor> >, false>' requested here
return (*functor)(ivalue_to_arg<guts::remove_cv_t<guts::remove_reference_t<guts::typelist::element_t<ivalue_arg_indices, IValueArgTypes>>>, AllowDeprecatedTypes>(
 ^
/root/pytorch/aten/src/ATen/core/op_registration/kernel_functor.h:191:12: note: in instantiation of function template specialization 'c10::detail::call_functor_with_args_from_stack_<at::native::(anonymous namespace)::QCat<false>, false, 0, 1, 2, 3>' requested here
return call_functor_with_args_from_stack_<Functor, AllowDeprecatedTypes>(functor, stack, guts::make_index_sequence<num_ivalue_args>());
 ^
/root/pytorch/aten/src/ATen/core/op_registration/kernel_functor.h:223:21: note: in instantiation of function template specialization 'c10::detail::call_functor_with_args_from_stack<at::native::(anonymous namespace)::QCat<false>, false>' requested here
auto output = call_functor_with_args_from_stack<KernelFunctor, AllowDeprecatedTypes>(functor, stack);
 ^
/root/pytorch/aten/src/ATen/core/op_registration/op_registration.h:276:76: note: in instantiation of member function 'c10::detail::wrap_kernel_functor<at::native::(anonymous namespace)::QCat<false>, false, void>::call' requested here
&detail::wrap_kernel_functor<KernelFunctor, AllowDeprecatedTypes>::call,
 ^
/root/pytorch/aten/src/ATen/core/op_registration/op_registration.h:103:31: note: in instantiation of function template specialization 'c10::RegisterOperators::Options::kernelFunctor<at::native::(anonymous namespace)::QCat<false>, false>' requested here
return std::move(*this).kernelFunctor<KernelFunctor, false>(dispatch_key, std::forward<ConstructorParameters>(constructorParameters)...);
 ^
/root/pytorch/aten/src/ATen/native/quantized/cpu/qconcat.cpp:78:8: note: in instantiation of function template specialization 'c10::RegisterOperators::Options::kernel<at::native::(anonymous namespace)::QCat<false>>' requested here
.kernel<QCat<false>>(QuantizedCPUTensorId()))
 ^
/root/pytorch/aten/src/ATen/core/ivalue_inl.h:417:1: note: 'generic_to<at::Tensor>' has been explicitly marked deprecated here
C10_DEPRECATED_MESSAGE("IValues based on std::vector<T> are potentially slow and deprecated. Please use c10::List<T> instead.")
^
/root/pytorch/c10/util/Deprecated.h:32:57: note: expanded from macro 'C10_DEPRECATED_MESSAGE'
# define C10_DEPRECATED_MESSAGE(message) __attribute__((deprecated))
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv_unpack.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:5:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear_unpack.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:5:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:4:
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1431:14: warning: unused function 'fbgemmAlignedAlloc' [-Wunused-function]
static void* fbgemmAlignedAlloc(size_t __align, size_t __size) {
 ^
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1460:13: warning: unused function 'fbgemmGetRange' [-Wunused-function]
static void fbgemmGetRange(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv.cpp:4:
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:32:13: warning: unused function 'convert_uint8_int8' [-Wunused-function]
static void convert_uint8_int8(
 ^
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:42:13: warning: unused function 'convert_int8_uint8' [-Wunused-function]
static void convert_int8_uint8(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:5:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
1 warning generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkl/LinearAlgebra.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv_prepack.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:4:
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1431:14: warning: unused function 'fbgemmAlignedAlloc' [-Wunused-function]
static void* fbgemmAlignedAlloc(size_t __align, size_t __size) {
 ^
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1460:13: warning: unused function 'fbgemmGetRange' [-Wunused-function]
static void fbgemmGetRange(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv_prepack.cpp:4:
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:32:13: warning: unused function 'convert_uint8_int8' [-Wunused-function]
static void convert_uint8_int8(
 ^
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:42:13: warning: unused function 'convert_int8_uint8' [-Wunused-function]
static void convert_int8_uint8(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear_prepack.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:5:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear_prepack.cpp:34:26: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (size_t i = 0; i < N; ++i) {
 ~ ^ ~
/root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear_prepack.cpp:36:28: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (size_t j = 0; j < K; ++j) {
 ~ ^ ~
/root/pytorch/aten/src/ATen/native/quantized/cpu/qnnpack_fc.cpp:30:26: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'long' [-Wsign-compare]
for (size_t i = 0; i < input_contig.dim() - 1; ++i) {
 ~ ^ ~~~~~~~~~~~~~~~~~~~~~~
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear_unpack.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:4:
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1431:14: warning: unused function 'fbgemmAlignedAlloc' [-Wunused-function]
static void* fbgemmAlignedAlloc(size_t __align, size_t __size) {
 ^
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1460:13: warning: unused function 'fbgemmGetRange' [-Wunused-function]
static void fbgemmGetRange(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear_unpack.cpp:4:
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:32:13: warning: unused function 'convert_uint8_int8' [-Wunused-function]
static void convert_uint8_int8(
 ^
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:42:13: warning: unused function 'convert_int8_uint8' [-Wunused-function]
static void convert_int8_uint8(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv_unpack.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:4:
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1431:14: warning: unused function 'fbgemmAlignedAlloc' [-Wunused-function]
static void* fbgemmAlignedAlloc(size_t __align, size_t __size) {
 ^
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1460:13: warning: unused function 'fbgemmGetRange' [-Wunused-function]
static void fbgemmGetRange(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qconv_unpack.cpp:4:
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:32:13: warning: unused function 'convert_uint8_int8' [-Wunused-function]
static void convert_uint8_int8(
 ^
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:42:13: warning: unused function 'convert_int8_uint8' [-Wunused-function]
static void convert_int8_uint8(
 ^
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkl/SpectralOps.cpp.o
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:4:
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1431:14: warning: unused function 'fbgemmAlignedAlloc' [-Wunused-function]
static void* fbgemmAlignedAlloc(size_t __align, size_t __size) {
 ^
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1460:13: warning: unused function 'fbgemmGetRange' [-Wunused-function]
static void fbgemmGetRange(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear.cpp:4:
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:32:13: warning: unused function 'convert_uint8_int8' [-Wunused-function]
static void convert_uint8_int8(
 ^
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:42:13: warning: unused function 'convert_int8_uint8' [-Wunused-function]
static void convert_int8_uint8(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear_prepack.cpp:4:
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:4:
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1431:14: warning: unused function 'fbgemmAlignedAlloc' [-Wunused-function]
static void* fbgemmAlignedAlloc(size_t __align, size_t __size) {
 ^
/root/pytorch/third_party/fbgemm/include/fbgemm/Fbgemm.h:1460:13: warning: unused function 'fbgemmGetRange' [-Wunused-function]
static void fbgemmGetRange(
 ^
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qlinear_prepack.cpp:4:
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:32:13: warning: unused function 'convert_uint8_int8' [-Wunused-function]
static void convert_uint8_int8(
 ^
/root/pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.h:42:13: warning: unused function 'convert_int8_uint8' [-Wunused-function]
static void convert_int8_uint8(
 ^
5 warnings generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/BinaryOps.cpp.o
5 warnings generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/Conv.cpp.o
3 warnings generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/IDeepRegistration.cpp.o
5 warnings generated.
In file included from /root/pytorch/aten/src/ATen/native/quantized/cpu/qpool.cpp:3:
In file included from /root/pytorch/aten/src/ATen/Parallel.h:3:
In file included from /root/pytorch/aten/src/ATen/core/ivalue.h:569:
/root/pytorch/aten/src/ATen/core/ivalue_inl.h:473:10: warning: 'generic_to<long>' is deprecated [-Wdeprecated-declarations]
return generic_to(std::move(*this), _fake_type<T>{});
 ^
/root/pytorch/aten/src/ATen/core/op_registration/kernel_functor.h:167:25: note: in instantiation of function template specialization 'c10::IValue::to<std::vector<long, std::allocator<long> > >' requested here
return std::move(v).to<T>();
 ^
/root/pytorch/aten/src/ATen/core/op_registration/kernel_functor.h:183:23: note: in instantiation of function template specialization 'c10::detail::ivalue_to_arg<std::vector<long, std::allocator<long> >, false>' requested here
return (*functor)(ivalue_to_arg<guts::remove_cv_t<guts::remove_reference_t<guts::typelist::element_t<ivalue_arg_indices, IValueArgTypes>>>, AllowDeprecatedTypes>(
 ^
/root/pytorch/aten/src/ATen/core/op_registration/kernel_functor.h:191:12: note: in instantiation of function template specialization 'c10::detail::call_functor_with_args_from_stack_<at::native::(anonymous namespace)::QMaxPool2D_arr_args, false, 0, 1, 2, 3, 4>' requested here
return call_functor_with_args_from_stack_<Functor, AllowDeprecatedTypes>(functor, stack, guts::make_index_sequence<num_ivalue_args>());
 ^
/root/pytorch/aten/src/ATen/core/op_registration/kernel_functor.h:223:21: note: in instantiation of function template specialization 'c10::detail::call_functor_with_args_from_stack<at::native::(anonymous namespace)::QMaxPool2D_arr_args, false>' requested here
auto output = call_functor_with_args_from_stack<KernelFunctor, AllowDeprecatedTypes>(functor, stack);
 ^
/root/pytorch/aten/src/ATen/core/op_registration/op_registration.h:276:76: note: in instantiation of member function 'c10::detail::wrap_kernel_functor<at::native::(anonymous namespace)::QMaxPool2D_arr_args, false, void>::call' requested here
&detail::wrap_kernel_functor<KernelFunctor, AllowDeprecatedTypes>::call,
 ^
/root/pytorch/aten/src/ATen/core/op_registration/op_registration.h:103:31: note: in instantiation of function template specialization 'c10::RegisterOperators::Options::kernelFunctor<at::native::(anonymous namespace)::QMaxPool2D_arr_args, false>' requested here
return std::move(*this).kernelFunctor<KernelFunctor, false>(dispatch_key, std::forward<ConstructorParameters>(constructorParameters)...);
 ^
/root/pytorch/aten/src/ATen/native/quantized/cpu/qpool.cpp:198:6: note: in instantiation of function template specialization 'c10::RegisterOperators::Options::kernel<at::native::(anonymous namespace)::QMaxPool2D_arr_args>' requested here
.kernel<QMaxPool2D_arr_args>(QuantizedCPUTensorId()));
 ^
/root/pytorch/aten/src/ATen/core/ivalue_inl.h:417:1: note: 'generic_to<long>' has been explicitly marked deprecated here
C10_DEPRECATED_MESSAGE("IValues based on std::vector<T> are potentially slow and deprecated. Please use c10::List<T> instead.")
^
/root/pytorch/c10/util/Deprecated.h:32:57: note: expanded from macro 'C10_DEPRECATED_MESSAGE'
# define C10_DEPRECATED_MESSAGE(message) __attribute__((deprecated))
 ^
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/Linear.cpp.o
7 warnings generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/MKLDNNCommon.cpp.o
1 warning generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/MKLDNNConversions.cpp.o
1 warning generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/MkldnnTensorMath.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/Normalization.cpp.o
5 warnings generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/Pooling.cpp.o
5 warnings generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/Relu.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/SoftMax.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/TensorFactories.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/TensorShape.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/UnaryOps.cpp.o
1 warning generated.
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/mkldnn/Utils.cpp.o
/root/pytorch/aten/src/ATen/native/mkldnn/Pooling.cpp:172:3: warning: 'deprecated_AT_CHECK' is deprecated [-Wdeprecated-declarations]
AT_CHECK(!divisor_override.has_value(),
 ^
/root/pytorch/c10/util/Exception.h:339:20: note: expanded from macro 'AT_CHECK'
::c10::detail::deprecated_AT_CHECK(); \
 ^
/root/pytorch/c10/util/Exception.h:313:1: note: 'deprecated_AT_CHECK' has been explicitly marked deprecated here
C10_DEPRECATED_MESSAGE("AT_CHECK is deprecated, use TORCH_CHECK instead.")
^
/root/pytorch/c10/util/Deprecated.h:32:57: note: expanded from macro 'C10_DEPRECATED_MESSAGE'
# define C10_DEPRECATED_MESSAGE(message) __attribute__((deprecated))
 ^
/root/pytorch/aten/src/ATen/native/mkldnn/Pooling.cpp:206:24: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t i = 2; i < input.dim(); ++i) {
 ~ ^ ~~~~~~~~~~~
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/CPUType.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/LegacyTHFunctionsCPU.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/MkldnnCPUType.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/QuantizedCPUType.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/SparseCPUType.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/TypeDefault.cpp.o
[ 61%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THGeneral.cpp.o
2 warnings generated.
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THAllocator.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THSize.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THStorageFunctions.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THTensor.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THTensorRandom.cpp.o
/root/pytorch/aten/src/TH/THAllocator.cpp:253:16: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and '__off_t' (aka 'long') [-Wsign-compare]
if (size > file_stat.st_size) {
 ~~~~ ^ ~~~~~~~~~~~~~~~~~
/root/pytorch/aten/src/TH/THAllocator.cpp:258:64: warning: comparison of integers of different signs: '__off_t' (aka 'long') and 'size_t' (aka 'unsigned long') [-Wsign-compare]
if (fstat(fd, &file_stat) == -1 || file_stat.st_size < size) {
 ~~~~~~~~~~~~~~~~~ ^ ~~~~
/root/pytorch/aten/src/TH/THAllocator.cpp:433:9: warning: unused variable 'data' [-Wunused-variable]
char *data = ((char*)base_ptr_) + TH_ALLOC_ALIGNMENT;
 ^
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THTensorFill.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THTensorMath.cpp.o
3 warnings generated.
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THTensorMoreMath.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THTensorEvenMoreMath.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THTensorConv.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THTensorLapack.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THBlas.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THLapack.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THLogAdd.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THFile.cpp.o
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:4:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:10:
In file included from /root/pytorch/aten/src/TH/THGenerateFloatTypes.h:10:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:4:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:10:
In file included from /root/pytorch/aten/src/TH/THGenerateFloatTypes.h:11:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:4:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:10:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:4:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:11:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:4:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:12:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:4:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:13:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:4:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:14:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:7:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:10:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:13:
In file included from TH/generic/THTensor.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensor.cpp:771:35: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = dimension + 1; i < size.size(); ++i) {
 ~ ^ ~~~~~~~~~~~
In file included from /root/pytorch/aten/src/TH/THTensor.cpp:4:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:10:
In file included from /root/pytorch/aten/src/TH/THGenerateFloatTypes.h:10:
In file included from TH/generic/THTensor.cpp:1:
In file included from /root/pytorch/aten/src/TH/generic/THTensor.cpp:5:
/root/pytorch/aten/src/ATen/InferSize.h:12:29: warning: unused function 'infer_size' [-Wunused-function]
static std::vector<int64_t> infer_size(IntArrayRef shape, int64_t numel) {
 ^
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THDiskFile.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THMemoryFile.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/THVector.cpp.o
In file included from /root/pytorch/aten/src/TH/THTensorMath.cpp:7:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:10:
In file included from /root/pytorch/aten/src/TH/THGenerateFloatTypes.h:10:
In file included from TH/generic/THTensorMath.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensorMath.cpp:703:11: warning: unused variable 'i' [-Wunused-variable]
int64_t i;
 ^
In file included from /root/pytorch/aten/src/TH/THTensorMath.cpp:7:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:10:
In file included from /root/pytorch/aten/src/TH/THGenerateFloatTypes.h:11:
In file included from TH/generic/THTensorMath.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensorMath.cpp:703:11: warning: unused variable 'i' [-Wunused-variable]
int64_t i;
 ^
In file included from /root/pytorch/aten/src/TH/THTensorMath.cpp:7:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:10:
In file included from TH/generic/THTensorMath.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensorMath.cpp:703:11: warning: unused variable 'i' [-Wunused-variable]
int64_t i;
 ^
In file included from /root/pytorch/aten/src/TH/THTensorMath.cpp:7:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:11:
In file included from TH/generic/THTensorMath.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensorMath.cpp:703:11: warning: unused variable 'i' [-Wunused-variable]
int64_t i;
 ^
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/vector/AVX.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/TH/vector/AVX2.cpp.o
In file included from /root/pytorch/aten/src/TH/THTensorMath.cpp:7:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:12:
In file included from TH/generic/THTensorMath.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensorMath.cpp:703:11: warning: unused variable 'i' [-Wunused-variable]
int64_t i;
 ^
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/THNN/init.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/quantized/QTensorImpl.cpp.o
In file included from /root/pytorch/aten/src/TH/THTensorMath.cpp:7:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:13:
In file included from TH/generic/THTensorMath.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensorMath.cpp:703:11: warning: unused variable 'i' [-Wunused-variable]
int64_t i;
 ^
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/quantized/Quantizer.cpp.o
In file included from /root/pytorch/aten/src/TH/THTensorMath.cpp:7:
In file included from /root/pytorch/aten/src/TH/THGenerateAllTypes.h:11:
In file included from /root/pytorch/aten/src/TH/THGenerateIntTypes.h:14:
In file included from TH/generic/THTensorMath.cpp:1:
/root/pytorch/aten/src/TH/generic/THTensorMath.cpp:703:11: warning: unused variable 'i' [-Wunused-variable]
int64_t i;
 ^
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.AVX2.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/TensorCompareKernel.cpp.AVX2.cpp.o
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp.o
11 warnings generated.
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX2.cpp.o
In file included from /root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:11:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:58:21: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = 0; i < zero_points.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:210:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == scales.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:212:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == zero_points.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:243:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == scales.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:245:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == zero_points.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
In file included from /root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:11:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:126:11: note: in instantiation of function template specialization 'fbgemm::Dequantize<signed char>' requested here
fbgemm::Dequantize<typename T::underlying>(/*src=*/qd,
 ^
In file included from /root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:11:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:126:11: note: in instantiation of function template specialization 'fbgemm::Dequantize<unsigned char>' requested here
fbgemm::Dequantize<typename T::underlying>(/*src=*/qd,
 ^
In file included from /root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:11:
/root/pytorch/third_party/fbgemm/include/fbgemm/QuantUtils.h:127:29: warning: comparison of integers of different signs: 'std::size_t' (aka 'unsigned long') and 'int' [-Wsign-compare]
for (std::size_t i = 0; i < len; i++) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:126:11: note: in instantiation of function template specialization 'fbgemm::Dequantize<int>' requested here
fbgemm::Dequantize<typename T::underlying>(/*src=*/qd,
 ^
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp.o
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:210:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == scales.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:369:15: note: in instantiation of function template specialization 'at::quantize_tensor_per_channel_affine<c10::qint8>' requested here
qtensor = quantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:212:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == zero_points.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:58:21: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = 0; i < zero_points.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:204:3: note: in instantiation of function template specialization 'at::checkZeroPoints<signed char>' requested here
checkZeroPoints<typename T::underlying>(fn_name, zero_points);
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:369:15: note: in instantiation of function template specialization 'at::quantize_tensor_per_channel_affine<c10::qint8>' requested here
qtensor = quantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:210:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == scales.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:369:15: note: in instantiation of function template specialization 'at::quantize_tensor_per_channel_affine<c10::quint8>' requested here
qtensor = quantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:212:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == zero_points.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:58:21: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = 0; i < zero_points.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:204:3: note: in instantiation of function template specialization 'at::checkZeroPoints<unsigned char>' requested here
checkZeroPoints<typename T::underlying>(fn_name, zero_points);
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:369:15: note: in instantiation of function template specialization 'at::quantize_tensor_per_channel_affine<c10::quint8>' requested here
qtensor = quantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:210:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == scales.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:369:15: note: in instantiation of function template specialization 'at::quantize_tensor_per_channel_affine<c10::qint32>' requested here
qtensor = quantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:212:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == zero_points.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:58:21: warning: comparison of integers of different signs: 'int' and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
for (int i = 0; i < zero_points.size(); ++i) {
 ~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:204:3: note: in instantiation of function template specialization 'at::checkZeroPoints<int>' requested here
checkZeroPoints<typename T::underlying>(fn_name, zero_points);
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:369:15: note: in instantiation of function template specialization 'at::quantize_tensor_per_channel_affine<c10::qint32>' requested here
qtensor = quantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:243:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == scales.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:387:15: note: in instantiation of function template specialization 'at::dequantize_tensor_per_channel_affine<c10::qint8>' requested here
rtensor = dequantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:245:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == zero_points.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:243:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == scales.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:387:15: note: in instantiation of function template specialization 'at::dequantize_tensor_per_channel_affine<c10::quint8>' requested here
rtensor = dequantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:245:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == zero_points.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:243:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == scales.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:387:15: note: in instantiation of function template specialization 'at::dequantize_tensor_per_channel_affine<c10::qint32>' requested here
rtensor = dequantize_tensor_per_channel_affine<scalar_t>(
 ^
/root/pytorch/aten/src/ATen/quantized/Quantizer.cpp:245:23: warning: comparison of integers of different signs: 'int64_t' (aka 'long') and 'std::vector::size_type' (aka 'unsigned long') [-Wsign-compare]
TORCH_CHECK(channel == zero_points.size(),
 ~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:244:31: note: expanded from macro 'TORCH_CHECK'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
In file included from /root/pytorch/aten/src/THNN/init.cpp:125:
In file included from /root/pytorch/aten/src/TH/THGenerateFloatTypes.h:10:
In file included from THNN/generic/FeatureLPPooling.c:1:
/root/pytorch/aten/src/THNN/generic/FeatureLPPooling.c:225:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (batch = start; batch < end; ++batch) {
 ~~~~~ ^ ~~~
/root/pytorch/aten/src/THNN/generic/FeatureLPPooling.c:321:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (batch = start; batch < end; ++batch) {
 ~~~~~ ^ ~~~
In file included from /root/pytorch/aten/src/THNN/init.cpp:125:
In file included from /root/pytorch/aten/src/TH/THGenerateFloatTypes.h:11:
In file included from THNN/generic/FeatureLPPooling.c:1:
/root/pytorch/aten/src/THNN/generic/FeatureLPPooling.c:225:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (batch = start; batch < end; ++batch) {
 ~~~~~ ^ ~~~
/root/pytorch/aten/src/THNN/generic/FeatureLPPooling.c:321:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (batch = start; batch < end; ++batch) {
 ~~~~~ ^ ~~~
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX2.cpp.o
In file included from /root/pytorch/aten/src/THNN/init.cpp:140:
In file included from THNN/generic/VolumetricConvolutionMM.c:1:
/root/pytorch/aten/src/THNN/generic/VolumetricConvolutionMM.c:134:13: warning: unused function 'THNN_Longunfolded_acc_vol' [-Wunused-function]
static void THNN_(unfolded_acc_vol)(
 ^
/root/pytorch/aten/src/THNN/THNN.h:7:21: note: expanded from macro 'THNN_'
#define THNN_(NAME) TH_CONCAT_3(THNN_, Real, NAME)
 ^
/root/pytorch/build/caffe2/aten/src/TH/THGeneral.h:151:28: note: expanded from macro 'TH_CONCAT_3'
#define TH_CONCAT_3(x,y,z) TH_CONCAT_3_EXPAND(x,y,z)
 ^
/root/pytorch/build/caffe2/aten/src/TH/THGeneral.h:152:35: note: expanded from macro 'TH_CONCAT_3_EXPAND'
#define TH_CONCAT_3_EXPAND(x,y,z) x ## y ## z
 ^
<scratch space>:73:1: note: expanded from here
THNN_Longunfolded_acc_vol
^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:49:46: warning: taking the absolute value of unsigned type 'scalar_t' (aka 'unsigned char') has no effect [-Wabsolute-value]
[=](scalar_t a) -> scalar_t { return std::abs(a); },
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:49:46: note: remove the call to 'std::abs' since unsigned values cannot be negative
[=](scalar_t a) -> scalar_t { return std::abs(a); },
 ^~~~~~~~
/root/pytorch/aten/src/ATen/Dispatch.h:229:59: note: expanded from macro 'AT_DISPATCH_ALL_TYPES'
AT_PRIVATE_CASE_TYPE(at::ScalarType::Byte, uint8_t, __VA_ARGS__) \
 ^
/root/pytorch/aten/src/ATen/Dispatch.h:12:12: note: expanded from macro 'AT_PRIVATE_CASE_TYPE'
return __VA_ARGS__(); \
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:78:3: warning: unused variable 'out_ptr' [-Wunused-variable]
VEC_LOOP_HEADER(func_t, data)
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:16:9: note: expanded from macro 'VEC_LOOP_HEADER'
char* out_ptr = data[0];
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:92:3: warning: unused variable 'out_ptr' [-Wunused-variable]
VEC_LOOP_HEADER(func_t, data)
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:16:9: note: expanded from macro 'VEC_LOOP_HEADER'
char* out_ptr = data[0];
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
24 warnings generated.
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX2.cpp.o
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:43:13: warning: unused function '_reduction_with_indices_allocate_or_resize_output' [-Wunused-function]
static void _reduction_with_indices_allocate_or_resize_output(
 ^
/root/pytorch/aten/src/ATen/native/SortingUtils.h:83:13: warning: unused function '_allocate_or_resize_output_with_indices' [-Wunused-function]
static void _allocate_or_resize_output_with_indices(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:31:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:32:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:31:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:31:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:32:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:31:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
[ 62%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX2.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:75:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:76:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:75:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:75:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:76:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:75:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:84:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:85:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:84:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:84:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:85:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:84:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:177:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:178:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:177:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:177:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:178:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:177:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 0, double, double>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:136:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 1, double, double>' requested here
return for_each_in_tuple<traits, i + 1, tuple_t...>(t, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 0, double, double>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, float, float>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 0, float, float>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, float, float>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:136:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 1, float, float>' requested here
return for_each_in_tuple<traits, i + 1, tuple_t...>(t, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 0, float, float>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, float, float>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, c10::Half, c10::Half>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, 0, c10::Half, c10::Half>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, c10::Half, c10::Half>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:136:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, 1, c10::Half, c10::Half>' requested here
return for_each_in_tuple<traits, i + 1, tuple_t...>(t, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, 0, c10::Half, c10::Half>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, c10::Half, c10::Half>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
18 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX2.cpp.o
18 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX2.cpp.o
/root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX2.cpp:23:39: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
AT_ASSERT(original_strides.size() == num_indexers);
 ~~~~~~~~~~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX2.cpp:24:37: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
AT_ASSERT(original_sizes.size() == num_indexers);
 ~~~~~~~~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX2.cpp:8:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX2.cpp:8:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX2.cpp:8:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX2.cpp:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:19:9), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:20:9)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:17:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:19:9), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:20:9)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:26:9), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:27:9)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:24:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:26:9), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:27:9)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:3:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:3:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:3:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp:3:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
20 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX2.cpp:7:
In file included from /root/pytorch/aten/src/ATen/native/cpu/GridSamplerKernel.h:7:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX2.cpp:7:
In file included from /root/pytorch/aten/src/ATen/native/cpu/GridSamplerKernel.h:7:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX2.cpp:7:
In file included from /root/pytorch/aten/src/ATen/native/cpu/GridSamplerKernel.h:7:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX2.cpp:7:
In file included from /root/pytorch/aten/src/ATen/native/cpu/GridSamplerKernel.h:7:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
28 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX2.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX2.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX2.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX2.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
18 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.AVX.cpp.o
39 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:61:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:61:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:62:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:61:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:61:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:61:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:61:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:62:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:61:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:61:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp:5:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:179:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:179:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:181:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:179:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:179:3)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:179:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:179:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:181:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:179:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:179:3)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:193:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:193:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:195:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:193:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:193:3)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:193:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:193:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:195:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:193:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:193:3)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:215:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, float *dst, int64_t n) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_int.h:235:6: warning: unused function 'convert' [-Wunused-function]
void convert(const int32_t *src, double *dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp:9:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:74:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:75:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, double, d)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:76:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int64_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:77:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int32_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:78:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
DEFINE_FLOAT_INT_CAST(int16_t, float, s)
^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:66:15: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<int_t> cast<int_t, float_t>(const Vec256<float_t>& src) { \
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:79:1: warning: unused function 'cast' [-Wunused-function]
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:70:17: note: expanded from macro 'DEFINE_FLOAT_INT_CAST'
Vec256<float_t> cast<float_t, int_t>(const Vec256<int_t>& src) { \
 ^
23 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/TensorCompareKernel.cpp.AVX.cpp.o
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:49:46: warning: taking the absolute value of unsigned type 'scalar_t' (aka 'unsigned char') has no effect [-Wabsolute-value]
[=](scalar_t a) -> scalar_t { return std::abs(a); },
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:49:46: note: remove the call to 'std::abs' since unsigned values cannot be negative
[=](scalar_t a) -> scalar_t { return std::abs(a); },
 ^~~~~~~~
/root/pytorch/aten/src/ATen/Dispatch.h:229:59: note: expanded from macro 'AT_DISPATCH_ALL_TYPES'
AT_PRIVATE_CASE_TYPE(at::ScalarType::Byte, uint8_t, __VA_ARGS__) \
 ^
/root/pytorch/aten/src/ATen/Dispatch.h:12:12: note: expanded from macro 'AT_PRIVATE_CASE_TYPE'
return __VA_ARGS__(); \
 ^
18 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:31:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:32:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:31:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:31:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:32:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:31:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:75:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:76:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:75:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:75:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:76:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:75:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:84:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:85:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:84:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:84:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:85:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:84:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:177:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:178:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:177:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:177:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:178:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:177:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
29 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX.cpp.o
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp.o
34 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX.cpp.o
14 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX.cpp.o
30 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:43:13: warning: unused function '_reduction_with_indices_allocate_or_resize_output' [-Wunused-function]
static void _reduction_with_indices_allocate_or_resize_output(
 ^
/root/pytorch/aten/src/ATen/native/SortingUtils.h:83:13: warning: unused function '_allocate_or_resize_output_with_indices' [-Wunused-function]
static void _allocate_or_resize_output_with_indices(
 ^
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp.o
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:78:3: warning: unused variable 'out_ptr' [-Wunused-variable]
VEC_LOOP_HEADER(func_t, data)
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:16:9: note: expanded from macro 'VEC_LOOP_HEADER'
char* out_ptr = data[0];
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:92:3: warning: unused variable 'out_ptr' [-Wunused-variable]
VEC_LOOP_HEADER(func_t, data)
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:16:9: note: expanded from macro 'VEC_LOOP_HEADER'
char* out_ptr = data[0];
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
26 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX.cpp.o
/root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX.cpp:23:39: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
AT_ASSERT(original_strides.size() == num_indexers);
 ~~~~~~~~~~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX.cpp:24:37: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
AT_ASSERT(original_sizes.size() == num_indexers);
 ~~~~~~~~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 0, double, double>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:136:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 1, double, double>' requested here
return for_each_in_tuple<traits, i + 1, tuple_t...>(t, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 0, double, double>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, float, float>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 0, float, float>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, float, float>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:136:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 1, float, float>' requested here
return for_each_in_tuple<traits, i + 1, tuple_t...>(t, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 0, float, float>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, float, float>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, c10::Half, c10::Half>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, 0, c10::Half, c10::Half>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, c10::Half, c10::Half>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:136:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, 1, c10::Half, c10::Half>' requested here
return for_each_in_tuple<traits, i + 1, tuple_t...>(t, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, 0, c10::Half, c10::Half>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >::*)(at::native::WelfordData<double, long, double>, c10::Half) const>, c10::Half, c10::Half>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<c10::Half, double, long, double, std::tuple<c10::Half, c10::Half> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
4 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX.cpp:8:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX.cpp:8:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX.cpp:8:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:6:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:6:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
4 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp.o
27 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX.cpp:7:
In file included from /root/pytorch/aten/src/ATen/native/cpu/GridSamplerKernel.h:7:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX.cpp:7:
In file included from /root/pytorch/aten/src/ATen/native/cpu/GridSamplerKernel.h:7:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX.cpp:7:
In file included from /root/pytorch/aten/src/ATen/native/cpu/GridSamplerKernel.h:7:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
6 warnings generated.
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:19:9), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:20:9)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:17:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:19:9), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:20:9)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:26:9), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:27:9)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:24:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:26:9), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:27:9)>' requested here
cpu_kernel_vec(
 ^
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.DEFAULT.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:31:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:29:5)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:3:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:3:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/FillKernel.cpp.AVX.cpp:3:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:44:13: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:42:7)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
14 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX.cpp:10:
In file included from /root/pytorch/aten/src/ATen/cpu/vml.h:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/functional.h:2:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX.cpp:6:
In file included from /root/pytorch/aten/src/ATen/native/cpu/Loops.h:34:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
4 warnings generated.
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/TensorCompareKernel.cpp.DEFAULT.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:24:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:21:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:30:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:26:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:179:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:179:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:181:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:179:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:179:3)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
In file included from strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp
:9 ~~~ ^ ~:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36:/root/pytorch/aten/src/ATen/native/cpu/Loops.h :189:warning14: : comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]note
: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:179:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:179:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:181: strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);5
: ~~~ ^ ~
note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:179:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:179:3)>' requested here
 cpu_kernel_vec(iter,/root/pytorch/aten/src/ATen/native/cpu/Loops.h
:189 ^:
14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:42:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:41:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:193:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:193:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:195:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:193:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:193:3)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:11:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:193:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:193:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:195:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:193:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:193:3)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:9:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/Activation.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:61:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:61:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:62:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:61:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:61:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:9:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:61:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:61:5)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:62:7: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:61:5), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:61:5)>' requested here
cpu_kernel_vec(iter,
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:6:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_float.h:270:6: warning: unused function 'convert' [-Wunused-function]
void convert(const float* src, float* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:5:
In file included from /root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:7:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256_double.h:262:6: warning: unused function 'convert' [-Wunused-function]
void convert(const double* src, double* dst, int64_t n) {
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX.cpp:5:
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:51:15: warning: unused function 'cast' [-Wunused-function]
Vec256<float> cast<float, double>(const Vec256<double>& src) {
 ^
/root/pytorch/aten/src/ATen/cpu/vec256/vec256.h:56:16: warning: unused function 'cast' [-Wunused-function]
Vec256<double> cast<double, float>(const Vec256<float>& src) {
 ^
15 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp.o
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:49:46: warning: taking the absolute value of unsigned type 'scalar_t' (aka 'unsigned char') has no effect [-Wabsolute-value]
[=](scalar_t a) -> scalar_t { return std::abs(a); },
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:49:46: note: remove the call to 'std::abs' since unsigned values cannot be negative
[=](scalar_t a) -> scalar_t { return std::abs(a); },
 ^~~~~~~~
/root/pytorch/aten/src/ATen/Dispatch.h:229:59: note: expanded from macro 'AT_DISPATCH_ALL_TYPES'
AT_PRIVATE_CASE_TYPE(at::ScalarType::Byte, uint8_t, __VA_ARGS__) \
 ^
/root/pytorch/aten/src/ATen/Dispatch.h:12:12: note: expanded from macro 'AT_PRIVATE_CASE_TYPE'
return __VA_ARGS__(); \
 ^
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.DEFAULT.cpp.o
5 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp.o
20 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.DEFAULT.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:31:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:32:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:31:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:31:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:32:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:31:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:31:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:47:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:46:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:75:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:76:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:75:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:75:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:76:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:75:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:75:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:84:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:85:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:84:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:84:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:85:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:84:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:84:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:94:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:93:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:177:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:178:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:177:3)>' requested here
cpu_kernel_vec(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:18:
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:138:36: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare]
strides[arg] = (S > 0 && arg == S) ? 0 : sizeof(scalar_t);
 ~~~ ^ ~
/root/pytorch/aten/src/ATen/native/cpu/Loops.h:189:14: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::vectorized_loop<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:177:3)>' requested here
return vectorized_loop(data, n, 0, op, vop);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:178:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::cpu_kernel_vec<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:177:3), (lambda at /root/pytorch/build/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp:177:3)>' requested here
cpu_kernel_vec(
 ^
23 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.DEFAULT.cpp.o
4 warnings generated.
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.DEFAULT.cpp.o
[ 63%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.DEFAULT.cpp.o
4 warnings generated.
[ 64%] Building CXX object caffe2/CMakeFiles/torch.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.DEFAULT.cpp.o
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:78:3: warning: unused variable 'out_ptr' [-Wunused-variable]
VEC_LOOP_HEADER(func_t, data)
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:16:9: note: expanded from macro 'VEC_LOOP_HEADER'
char* out_ptr = data[0];
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:92:3: warning: unused variable 'out_ptr' [-Wunused-variable]
VEC_LOOP_HEADER(func_t, data)
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:16:9: note: expanded from macro 'VEC_LOOP_HEADER'
char* out_ptr = data[0];
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:26:30: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
for (size_t d = 0; d < ndim; d++) {
 ~ ^ ~~~~
/root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:21:5: note: in instantiation of function template specialization 'at::native::dim_apply<(lambda at /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:20:3)>' requested here
dim_apply(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp:6:
/root/pytorch/aten/src/ATen/native/SortingUtils.h:27:17: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
if (d != dim) {
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:30:31: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int64_t' (aka 'long') [-Wsign-compare]
nt = nt.select((d > dim ? 1 : 0), i % sizes[d]);
 ~ ^ ~~~
/root/pytorch/aten/src/ATen/native/SortingUtils.h:43:13: warning: unused function '_reduction_with_indices_allocate_or_resize_output' [-Wunused-function]
static void _reduction_with_indices_allocate_or_resize_output(
 ^
/root/pytorch/aten/src/ATen/native/SortingUtils.h:83:13: warning: unused function '_allocate_or_resize_output_with_indices' [-Wunused-function]
static void _allocate_or_resize_output_with_indices(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 0, double, double>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:136:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 1, double, double>' requested here
return for_each_in_tuple<traits, i + 1, tuple_t...>(t, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, 0, double, double>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >::*)(at::native::WelfordData<double, long, double>, double) const>, double, double>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<double, double, long, double, std::tuple<double, double> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:145:25: warning: comparison of integers of different signs: 'const int' and 'std::size_t' (aka 'unsigned long') [-Wsign-compare]
AT_ASSERT(num_outputs == result_size);
 ~~~~~~~~~~~ ^ ~~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:349:54: note: expanded from macro 'AT_ASSERT'
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
 ^~~~~~~~~~~
/root/pytorch/c10/util/Exception.h:202:31: note: expanded from macro 'TORCH_INTERNAL_ASSERT'
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
 ^~~~
/root/pytorch/c10/util/Exception.h:165:47: note: expanded from macro 'C10_UNLIKELY_OR_CONST'
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
 ^
/root/pytorch/c10/macros/Macros.h:140:65: note: expanded from macro 'C10_UNLIKELY'
#define C10_UNLIKELY(expr) (__builtin_expect(static_cast<bool>(expr), 0))
 ^~~~
/root/pytorch/c10/util/Exception.h:146:39: note: expanded from macro 'C10_EXPAND_MSVC_WORKAROUND'
#define C10_EXPAND_MSVC_WORKAROUND(x) x
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, float, float>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 0, float, float>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::set_results<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, float, float>' requested here
set_results<r_traits>(ops.project(total_acc), sub_iter, num_outputs);
 ^
/root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:39:5: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::binary_kernel_reduce<at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >, at::native::WelfordData<double, long, double> >' requested here
binary_kernel_reduce(
 ^
In file included from /root/pytorch/build/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp:10:
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:134:9: warning: comparison of integers of different signs: 'unsigned long' and 'const int' [-Wsign-compare]
if (i < num_outputs) {
 ~ ^ ~~~~~~~~~~~
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:136:12: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 1, float, float>' requested here
return for_each_in_tuple<traits, i + 1, tuple_t...>(t, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:144:29: note: in instantiation of function template specialization 'at::native::(anonymous namespace)::for_each_in_tuple<binary_function_traits<at::native::WelfordData<double, long, double> (at::native::WelfordOps<float, double, long, double, std::tuple<float, float> >::*)(at::native::WelfordData<double, long, double>, float) const>, 0, float, float>' requested here
std::size_t result_size = for_each_in_tuple<traits>(result, iter, num_outputs);
 ^
/root/pytorch/aten/src/ATen/native/cpu/Reduce.h:240:5: note: in instanti
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