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[14/129] Building CXX object src\ATen\CMakeFiles\ATen.dir\UndefinedType.cpp.obj
FAILED: src/ATen/CMakeFiles/ATen.dir/UndefinedType.cpp.obj
C:\ProgramData\Miniconda3\envs\py3.6\Scripts\clcache.exe /nologo /TP -DATen_EXPORTS -DMAGMA_V2 -DTHC_EXPORTS -DTH_BLAS_MKL -DTH_EXPORTS -DTH_INDEX_BASE=0 -DUSE_MSC_ATOMICS=1 -D_CRT_SECURE_NO_DEPRECATE=1 -IC:\temp_build\magma_cuda90\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include" -IC:\pytorch\aten\src\TH -IC:\pytorch\aten\src\THC -Isrc\TH -Isrc\THC -IC:\pytorch\aten\src\THS -IC:\pytorch\aten\src\THCS -Isrc\THS -Isrc\THCS -IC:\pytorch\aten\src -Isrc -IC:\pytorch\aten\src\THNN -IC:\pytorch\aten\src\THCUNN -I\TH -IC:\pytorch\aten\src\ATen\CUDA_SDK_ROOT_DIR-NOTFOUND\common\inc -IC:\pytorch\aten\src\ATen\cuda -IC:\pytorch\aten\src\ATen\.. -Isrc\ATen /FS /DWIN32 /D_WINDOWS /W3 /GR /EHsc -openmp /MDd /Zi /Ob0 /Od /RTC1 /showIncludes /Fosrc\ATen\CMakeFiles\ATen.dir\UndefinedType.cpp.obj /Fdsrc\ATen\CMakeFiles\ATen.dir\ /FS -c C:\pytorch\aten\src\ATen\Un
[4/30] Linking CXX shared library src\ATen\ATen.dll
FAILED: src/ATen/ATen.dll src/ATen/ATen.lib
cmd.exe /C "cd . && "C:\Program Files\CMake\bin\cmake.exe" -E vs_link_dll --intdir=src\ATen\CMakeFiles\ATen.dir --manifests -- C:\PROGRA~2\MIB055~1\2017\COMMUN~1\VC\Tools\MSVC\1411~1.255\bin\Hostx86\x64\link.exe /nologo @CMakeFiles/ATen.rsp /out:src\ATen\ATen.dll /implib:src\ATen\ATen.lib /pdb:src\ATen\ATen.pdb /dll /version:1.0 /machine:x64 /LIBPATH:C:/pytorch/torch/lib/tmp_install/lib /debug /INCREMENTAL && cd ."
LINK Pass 1: command "C:\PROGRA~2\MIB055~1\2017\COMMUN~1\VC\Tools\MSVC\1411~1.255\bin\Hostx86\x64\link.exe /nologo @CMakeFiles/ATen.rsp /out:src\ATen\ATen.dll /implib:src\ATen\ATen.lib /pdb:src\ATen\ATen.pdb /dll /version:1.0 /machine:x64 /LIBPATH:C:/pytorch/torch/lib/tmp_install/lib /debug /INCREMENTAL /MANIFEST /MANIFESTFILE:src\ATen\CMakeFiles\ATen.dir/intermediate.manifest src\ATen\CMakeFiles\ATen.dir/manifest.res" failed (exit code 1319) with the following output:
magma.lib(interface.cpp.obj) :
An execution plan has been generated and is shown below.
Resource actions are indicated with the following symbols:
+ create
~ update in-place
Terraform will perform the following actions:
~ aws_instance.jenkins-server
vpc_security_group_ids.#: "0" => "2"
vpc_security_group_ids.2511706185: "" => "sg-00d5ab75"
An execution plan has been generated and is shown below.
Resource actions are indicated with the following symbols:
+ create
~ update in-place
Terraform will perform the following actions:
~ aws_instance.jenkins-server
vpc_security_group_ids.#: "0" => "2"
vpc_security_group_ids.2511706185: "" => "sg-00d5ab75"
set PATH=C:\Program Files\CMake\bin\;C:\Program Files\7-Zip\;C:\curl-7.57.0-win64-mingw\bin\;C:\Program Files\Git\cmd;%PATH%
call C:\ProgramData\Miniconda3\Scripts\activate.bat C:\ProgramData\Miniconda3
call activate py3.6
call "C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Auxiliary\Build\vcvarsall.bat" x86_amd64
git submodule update --init --recursive
set PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\libnvvp;C:\temp_build;%PATH%
set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0
04:54:34 Started by user Will Feng
04:54:34 [EnvInject] - Loading node environment variables.
04:54:34 Building remotely on worker-win-ws2016-p2-xlarge-0 (windows) in workspace C:\Jenkins\workspace\develop\pytorch-builds\pytorch-ws2016-cuda9-cudnn7-py3-build-test
04:54:34 > git rev-parse --is-inside-work-tree # timeout=10
04:54:34 Fetching changes from the remote Git repository
04:54:34 > git config remote.origin.url https://github.com/yf225/pytorch.git # timeout=10
04:54:34 Fetching upstream changes from https://github.com/yf225/pytorch.git
04:54:34 > git --version # timeout=10
04:54:34 > git fetch --tags --progress https://github.com/yf225/pytorch.git +refs/heads/*:refs/remotes/origin/* +refs/pull/*:refs/remotes/origin/pr/*
04:54:35 > git rev-parse "refs/remotes/origin/viz_build_graph^{commit}" # timeout=10
[143/337] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir/cuda/detail/ATen_generated_IndexUtils.cu.obj
FAILED: src/ATen/CMakeFiles/ATen.dir/cuda/detail/ATen_generated_IndexUtils.cu.obj
cmd.exe /C "cd /D C:\pytorch\torch\lib\build\ATen\src\ATen\CMakeFiles\ATen.dir\cuda\detail && "C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/pytorch/torch/lib/build/ATen/src/ATen/CMakeFiles/ATen.dir/cuda/detail/. && "C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D build_configuration:STRING=Release -D generated_file:STRING=C:/pytorch/torch/lib/build/ATen/src/ATen/CMakeFiles/ATen.dir/cuda/detail/./ATen_generated_IndexUtils.cu.obj -D generated_cubin_file:STRING=C:/pytorch/torch/lib/build/ATen/src/ATen/CMakeFiles/ATen.dir/cuda/detail/./ATen_generated_IndexUtils.cu.obj.cubin.txt -P C:/pytorch/torch/lib/build/ATen/src/ATen/CMakeFiles/ATen.dir/cuda/detail/ATen_generated_IndexUtils.cu.obj.cmake"
IndexUtils.cu
C:/pytorch/aten/src\ATen/UndefinedTensor.h(7): warning: base class dllexport/dllimport spe
[250/337] Building CXX object src\ATen\CMakeFiles\ATen.dir\ATen\CPUByteType.cpp.obj
FAILED: src/ATen/CMakeFiles/ATen.dir/ATen/CPUByteType.cpp.obj
C:\temp_build\clcache\pyinstaller\dist\clcache_main\clcache_main.exe /nologo /TP -DATen_EXPORTS -DMAGMA_V2 -DTHC_EXPORTS -DTH_BLAS_MKL -DTH_EXPORTS -DTH_INDEX_BASE=0 -DUSE_MSC_ATOMICS=1 -D_CRT_SECURE_NO_DEPRECATE=1 -IC:\temp_build\magma_cuda90_release\include -IC:\pytorch\aten\src\TH -IC:\pytorch\aten\src\THC -Isrc\TH -Isrc\THC -IC:\pytorch\aten\src\THS -IC:\pytorch\aten\src\THCS -Isrc\THS -Isrc\THCS -IC:\pytorch\aten\src -Isrc -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include" -IC:\pytorch\aten\src\THNN -IC:\pytorch\aten\src\THCUNN -I\TH -IC:\pytorch\aten\src\ATen\CUDA_SDK_ROOT_DIR-NOTFOUND\common\inc -IC:\pytorch\aten\src\ATen\cuda -IC:\pytorch\aten\src\ATen\.. -Isrc\ATen /DWIN32 /D_WINDOWS /W3 /GR /EHsc -openmp /MD /O2 /Ob2 /DNDEBUG /showIncludes /Fosrc\ATen\CMakeFiles\ATen.dir\ATen\CPUByteType.cpp.obj /Fdsrc\ATen\CMakeFiles\ATen.dir\ /FS -c src
building 'torch._C' extension
creating build\temp.win-amd64-3.6
creating build\temp.win-amd64-3.6\Release
creating build\temp.win-amd64-3.6\Release\torch
creating build\temp.win-amd64-3.6\Release\torch\csrc
creating build\temp.win-amd64-3.6\Release\torch\csrc\utils
creating build\temp.win-amd64-3.6\Release\torch\csrc\jit
creating build\temp.win-amd64-3.6\Release\torch\csrc\jit\passes
creating build\temp.win-amd64-3.6\Release\torch\csrc\jit\passes\onnx
creating build\temp.win-amd64-3.6\Release\torch\csrc\jit\generated
@yf225
yf225 / mini_sequence_labeler.py
Created January 10, 2018 21:47 — forked from hal3/mini_sequence_labeler.py
PyTorch implementation of a sequence labeler (POS taggger).
"""
PyTorch implementation of a sequence labeler (POS taggger).
Basic architecture:
- take words
- run though bidirectional GRU
- predict labels one word at a time (left to right), using a recurrent neural network "decoder"
The decoder updates hidden state based on:
- most recent word