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tensorflow/c/c_api_test.cc
// Fetch and see that the new value is returned. TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, num_dims, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(dims[0], returned_dims[0]); EXPECT_EQ(dims[1], returned_dims[1]); // Try to set 'unknown' with unknown rank on the shape and see that // it doesn't change.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
.bazelrc
# unsupported flags to replace the release flags in your build command. # However, please note that the old toolchain is no longer officially supported # by TensorFlow and the unsupported configs will be removed soon b/299962977. We # strongly recommend that you migrate to Clang as your compiler for TensorFlow # Linux builds. Instructions are available in the official documentation:
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
configure.py
elif is_windows(): default_cc_opt_flags = '/arch:AVX' else: # On all other platforms, no longer use `-march=native` as this can result # in instructions that are too modern being generated. Users that want # maximum performance should compile TF in their environment and can pass # `-march=native` there. # See https://github.com/tensorflow/tensorflow/issues/45744 and duplicates
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/BUILD
alias( name = "is_cuda_compiler_clang", actual = if_oss( "@local_config_cuda//:is_cuda_compiler_clang", "@local_config_cuda//cuda:TRUE", ), ) # Config setting that is satisfied when CUDA device code should be compiled # with nvcc. It does not imply that CUDA support has been enabled. alias( name = "is_cuda_compiler_nvcc",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8)