TensorFlow v1.8.0 MacOS Nvidia GPU

tensorflow_1.8.0_macos_nvidia.patch

diff --git a/tensorflow/core/framework/variant.h b/tensorflow/core/framework/variant.h
index c02391dae3..7f76609814 100644
--- a/tensorflow/core/framework/variant.h
+++ b/tensorflow/core/framework/variant.h
@@ -152,7 +152,8 @@ bool DecodeVariant(const string& buf, T* value);
 //
 class Variant {
  public:
-  constexpr Variant() noexcept = default;
+//  constexpr Variant() noexcept = default;
+  Variant() noexcept = default;

   Variant(const Variant& other)
       : value_(other.is_empty() ? std::unique_ptr<ValueInterface>()
diff --git a/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc b/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
index a561d918bd..785e0ddf4e 100644
--- a/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
+++ b/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
@@ -69,7 +69,7 @@ __global__ void concat_variable_kernel(
   IntType num_inputs = input_ptr_data.size;

   // verbose declaration needed due to template
-  extern __shared__ __align__(sizeof(T)) unsigned char smem[];
+  extern __shared__ unsigned char smem[];
   IntType* smem_col_scan = reinterpret_cast<IntType*>(smem);

   if (useSmem) {
diff --git a/tensorflow/core/kernels/depthwise_conv_op_gpu.cu.cc b/tensorflow/core/kernels/depthwise_conv_op_gpu.cu.cc
index 94989089ec..a2e3e8bc87 100644
--- a/tensorflow/core/kernels/depthwise_conv_op_gpu.cu.cc
+++ b/tensorflow/core/kernels/depthwise_conv_op_gpu.cu.cc
@@ -172,7 +172,7 @@ __global__ __launch_bounds__(1024, 2) void DepthwiseConv2dGPUKernelNHWCSmall(
     const DepthwiseArgs args, const T* input, const T* filter, T* output) {
   assert(CanLaunchDepthwiseConv2dGPUSmall(args));
   // Holds block plus halo and filter data for blockDim.x depths.
-  extern __shared__ __align__(sizeof(T)) unsigned char shared_memory[];
+  extern __shared__ unsigned char shared_memory[];
   T* const shared_data = reinterpret_cast<T*>(shared_memory);

   const int num_batches = args.batch;
@@ -452,7 +452,7 @@ __global__ __launch_bounds__(1024, 2) void DepthwiseConv2dGPUKernelNCHWSmall(
     const DepthwiseArgs args, const T* input, const T* filter, T* output) {
   assert(CanLaunchDepthwiseConv2dGPUSmall(args));
   // Holds block plus halo and filter data for blockDim.z depths.
-  extern __shared__ __align__(sizeof(T)) unsigned char shared_memory[];
+  extern __shared__ unsigned char shared_memory[];
   T* const shared_data = reinterpret_cast<T*>(shared_memory);

   const int num_batches = args.batch;
@@ -1118,7 +1118,7 @@ __launch_bounds__(1024, 2) void DepthwiseConv2dBackpropFilterGPUKernelNHWCSmall(
     const DepthwiseArgs args, const T* output, const T* input, T* filter) {
   assert(CanLaunchDepthwiseConv2dBackpropFilterGPUSmall(args, blockDim.z));
   // Holds block plus halo and filter data for blockDim.x depths.
-  extern __shared__ __align__(sizeof(T)) unsigned char shared_memory[];
+  extern __shared__ unsigned char shared_memory[];
   T* const shared_data = reinterpret_cast<T*>(shared_memory);

   const int num_batches = args.batch;
@@ -1388,7 +1388,7 @@ __launch_bounds__(1024, 2) void DepthwiseConv2dBackpropFilterGPUKernelNCHWSmall(
     const DepthwiseArgs args, const T* output, const T* input, T* filter) {
   assert(CanLaunchDepthwiseConv2dBackpropFilterGPUSmall(args, blockDim.x));
   // Holds block plus halo and filter data for blockDim.z depths.
-  extern __shared__ __align__(sizeof(T)) unsigned char shared_memory[];
+  extern __shared__ unsigned char shared_memory[];
   T* const shared_data = reinterpret_cast<T*>(shared_memory);

   const int num_batches = args.batch;
diff --git a/tensorflow/core/kernels/split_lib_gpu.cu.cc b/tensorflow/core/kernels/split_lib_gpu.cu.cc
index 393818730b..a7d9e02853 100644
--- a/tensorflow/core/kernels/split_lib_gpu.cu.cc
+++ b/tensorflow/core/kernels/split_lib_gpu.cu.cc
@@ -121,7 +121,7 @@ __global__ void split_v_kernel(const T* input_ptr,
   int num_outputs = output_ptr_data.size;

   // verbose declaration needed due to template
-  extern __shared__ __align__(sizeof(T)) unsigned char smem[];
+  extern __shared__ unsigned char smem[];
   IntType* smem_col_scan = reinterpret_cast<IntType*>(smem);

   if (useSmem) {
diff --git a/tensorflow/workspace.bzl b/tensorflow/workspace.bzl
index 48728ac131..268e4fe2e6 100644
--- a/tensorflow/workspace.bzl
+++ b/tensorflow/workspace.bzl
@@ -330,11 +330,11 @@ def tf_workspace(path_prefix="", tf_repo_name=""):
   tf_http_archive(
       name = "protobuf_archive",
       urls = [
-          "https://mirror.bazel.build/github.com/google/protobuf/archive/396336eb961b75f03b25824fe86cf6490fb75e3a.tar.gz",
-          "https://github.com/google/protobuf/archive/396336eb961b75f03b25824fe86cf6490fb75e3a.tar.gz",
+          "https://mirror.bazel.build/github.com/dtrebbien/protobuf/archive/50f552646ba1de79e07562b41f3999fe036b4fd0.tar.gz",
+          "https://github.com/dtrebbien/protobuf/archive/50f552646ba1de79e07562b41f3999fe036b4fd0.tar.gz",
       ],
-      sha256 = "846d907acf472ae233ec0882ef3a2d24edbbe834b80c305e867ac65a1f2c59e3",
-      strip_prefix = "protobuf-396336eb961b75f03b25824fe86cf6490fb75e3a",
+      sha256 = "eb16b33431b91fe8cee479575cee8de202f3626aaf00d9bf1783c6e62b4ffbc7",
+      strip_prefix = "protobuf-50f552646ba1de79e07562b41f3999fe036b4fd0",
   )

   # We need to import the protobuf library under the names com_google_protobuf

Looks like something with nsync in libtensorflow

Termination Signal: Segmentation fault: 11
Termination Reason: Namespace SIGNAL, Code 0xb
Terminating Process: exc handler [0]

Thread 0:: Dispatch queue: com.apple.main-thread
0 libsystem_kernel.dylib 0x00007fff63af3a1e __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff63cbc589 pthread_cond_wait + 732
2 libc++.1.dylib 0x00007fff618fbcb0 std::1::condition_variable::wait(std::1::unique_lockstd::__1::mutex&) + 18
3 libtensorflow_framework.so 0x00000001091c8deb nsync::nsync_mu_semaphore_p_with_deadline(nsync::nsync_semaphore_s*, timespec) + 283
4 libtensorflow_framework.so 0x00000001091c5637 nsync::nsync_cv_wait_with_deadline_generic(nsync::nsync_cv_s, void, void ()(void), void ()(void), timespec, nsync::nsync_note_s*) + 423
5 libtensorflow_framework.so 0x00000001091c5da1 nsync::nsync_cv_wait(nsync::nsync_cv_s*, nsync::nsync_mu_s) + 49
6 _pywrap_tensorflow_internal.so 0x000000010eb9ceeb tensorflow::DirectSession::WaitForNotification(tensorflow::Notification, long long) + 155
7 _pywrap_tensorflow_internal.so 0x000000010eb931f6 tensorflow::DirectSession::WaitForNotification(tensorflow::DirectSession::RunState*, tensorflow::CancellationManager*, long long) + 38
8 _pywrap_tensorflow_internal.so 0x000000010eb92ab7 tensorflow::DirectSession::RunInternal(long long, tensorflow::RunOptions const&, tensorflow::CallFrameInterface*, tensorflow::DirectSession::ExecutorsAndKeys*, tensorflow::RunMetadata*) + 2615
9 _pywrap_tensorflow_internal.so 0x000000010eb93c51 tensorflow::DirectSession::Run(tensorflow::RunOptions const&, std::__1::vector<std::__1::pair<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator >, tensorflow::Tensor>, std::__1::allocator<std::__1::pair<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator >, tensorflow::Tensor> > > const&, std::__1::vector<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator >, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > > > const&, std::__1::vector<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator >, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > > > const&, std::__1::vector<tensorflow::Tensor, std::__1::allocatortensorflow::Tensor >, tensorflow::RunMetadata) + 1473

Got this trying to run: https://www.tensorflow.org/tutorials/estimators/cnn

@iRonJ Do you fix this problem?

I encountered the Symbol not found: _ncclAllReduce problem and can confirm that Orang-utan's solution worked for me.

I have segment 11 error. finally I switch Xcode from 9.2 to 8.3.3 and it's OK now.

@yu-fei
I got Segmentation fault: 11 even with Xcode 8.3.3.
Was there any trick?

https://github.com/dtrebbien

This github page needed for the tensorflow patch is gone. So we cannot compile patched TF. How could we solve?