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.gitignore
.DS_Store .ipynb_checkpoints node_modules /.bazelrc.user /.tf_configure.bazelrc /xla_configure.bazelrc /bazel-* /bazel_pip /tools/python_bin_path.sh /tensorflow/tools/git/gen /pip_test /_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Jan 31 22:28:59 GMT 2024 - 934 bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
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tensorflow/c/eager/dlpack.cc
if (shape_arr[i] == 0) return true; // Note that dimensions with size=1 can have any stride. if (shape_arr[i] != 1 && stride_arr[i] != expected_stride) { valid = false; } expected_stride *= shape_arr[i]; } return valid; } } // namespace void TFE_CallDLManagedTensorDeleter(void* dlm_ptr) { DLManagedTensor* dlMTensor = static_cast<DLManagedTensor*>(dlm_ptr);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
ci/official/utilities/setup_macos.sh
# Pyenv version. We enable this for macOS x86 builds as the default Pyenv on # those VMs does not support installing Python 3.12 and above which we need # for running smoke tests in nightly/release wheel builds. if [[ "${TFCI_MACOS_UPGRADE_PYENV_ENABLE}" == 1 ]]; then # The TFCI Mac VM image seems to have uncommitted local changes to the Pyenv
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
tensorflow/BUILD
) config_setting( name = "using_rocm_hipcc", define_values = {"using_rocm_hipcc": "true"}, ) config_setting( name = "override_eigen_strong_inline", define_values = {"override_eigen_strong_inline": "true"}, visibility = ["//visibility:public"], ) # This flag specifies whether TensorFlow 2.0 API should be built instead
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RELEASE.md
* This does not change the minimum required version for building TensorFlow from source on Windows, but builds enabling `EIGEN_STRONG_INLINE` can take over 48 hours to compile without this flag. Refer to `configure.py` for more information about `EIGEN_STRONG_INLINE` and `/d2ReducedOptimizeHugeFunctions`. * If either of the required DLLs, `msvcp140.dll` (old) or `msvcp140_1.dll`
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configure.py
) if get_var( environ_cp, 'TF_OVERRIDE_EIGEN_STRONG_INLINE', 'Eigen strong inline', True, ('Would you like to override eigen strong inline for some C++ ' 'compilation to reduce the compilation time?'), 'Eigen strong inline overridden.', 'Not overriding eigen strong inline, ' 'some compilations could take more than 20 mins.'):
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) -
ci/official/utilities/code_check_full.bats
} # This test ensures that all the targets built into the Python package include # their dependencies. It's a rewritten version of the "smoke test", an older # Python script that was very difficult to understand. See # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py @test "Pip package includes all required //tensorflow dependencies" { # grep patterns for packages whose dependencies can be ignored
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.bazelrc
# Don't build the python zip archive in the RBE build. build:rbe_win_base --remote_download_minimal build:rbe_win_base --enable_runfiles build:rbe_win_base --nobuild_python_zip build:rbe_win_base --define=override_eigen_strong_inline=true build:rbe_win_clang --config=rbe_win_base build:rbe_win_clang --crosstool_top="//tensorflow/tools/toolchains/win/20240424:toolchain"
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tensorflow/c/eager/gradient_checker.cc
TF_TensorByteSize(theta_tensor)); // Initialize space for the numerical gradient. vector<float> dtheta_approx(num_elems); // Get theta shape and store in theta_dims. int num_dims = TF_NumDims(theta_tensor); vector<int64_t> theta_dims(num_dims); GetDims(theta_tensor, theta_dims.data()); // Initialize auxilary data structures.
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