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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// don't need to read the `.cc` file but they should consult every section of /// this file to ensure a compliant plugin can be built and that the plugin can /// be used without recompilation in the widest range of TensorFlow versions. /// /// The header is divided into sections, as follows: /// 1. Opaque plugin private data structures and wrappers for type safety; /// 2. Function tables for plugin functionality;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
RELEASE.md
and newer CPUs.) * [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07) * For older CPUs, oneDNN optimizations are disabled by default. * **Windows x86 package:** oneDNN optimizations are disabled by default. * **Linux aach64 (`--config=mkl_aarch64`) package:**
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ci/official/containers/linux_arm64/builder.devtoolset/stringop_trunc.patch
-# else -# define strncpy(dest, src, n) \ - (__extension__ (__builtin_constant_p (src) && __builtin_constant_p (n) \ - ? (strlen (src) + 1 >= ((size_t) (n)) \ - ? (char *) memcpy (dest, src, n) \ - : strncpy (dest, src, n)) \ - : strncpy (dest, src, n))) -# endif -#endif - - /* Append no more than N characters from SRC onto DEST. */
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ci/official/utilities/repack_libtensorflow.sh
# simple way to parameterize this from bazel, hence this helper to # "normalize" the srcjar layout. # # Arguments: # src_jar - path to the original srcjar # dest_jar - path to the destination # Returns: # None function cp_normalized_srcjar() { src_jar="$1" dest_jar="$2" tmp_dir=$(mktemp -d) cp "${src_jar}" "${tmp_dir}/orig.jar" pushd "${tmp_dir}" # Extract any src/ files jar -xf "${tmp_dir}/orig.jar" src/
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ci/official/utilities/code_check_full.bats
"//tensorflow/tools/lib_package:jnilicenses_generate" } # 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" {
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configure.py
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ci/official/envs/ci_default
TFCI_DOCKER_REBUILD_UPLOAD_ENABLE= TFCI_GIT_DIR= TFCI_INDEX_HTML_ENABLE= TFCI_LIB_SUFFIX= TFCI_MACOS_BAZEL_TEST_DIR_ENABLE= TFCI_MACOS_BAZEL_TEST_DIR_PATH= TFCI_MACOS_CROSS_COMPILE_ENABLE= TFCI_MACOS_CROSS_COMPILE_SDK_DEST= TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE= TFCI_MACOS_INSTALL_BAZELISK_ENABLE= TFCI_MACOS_INSTALL_BAZELISK_URL= TFCI_MACOS_PYENV_INSTALL_ENABLE= TFCI_MACOS_TWINE_INSTALL_ENABLE= TFCI_MACOS_UPGRADE_PYENV_ENABLE=
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ci/official/utilities/extract_resultstore_links.py
parser.add_argument('--print', action='store_true', dest='print', default=False, help='Whether to print out a short summary with the ' 'found ResultStore links (if any).') parser.add_argument('-v', '--verbose', action='store_true', dest='verbose', default=False, help='Prints out lines helpful for debugging.')
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