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tensorflow/c/eager/immediate_execution_tensor_handle.h
// Returns number of elements across all dimensions. virtual Status NumElements(int64_t* num_elements) const = 0; // Returns size of specified dimension // // -1 indicates an unknown axis length; this is unreachable for most standard // ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Mar 10 21:56:24 GMT 2023 - 4.3K bytes - Viewed (0) -
tensorflow/c/c_api_macros.h
// the datatype for boolean tensors. #ifndef TF_Bool #define TF_Bool unsigned char #endif // TF_Bool // Macro used to calculate struct size for maintaining ABI stability across // different struct implementations. #ifndef TF_OFFSET_OF_END #define TF_OFFSET_OF_END(TYPE, MEMBER) \ (offsetof(TYPE, MEMBER) + sizeof(((TYPE *)0)->MEMBER)) #endif // TF_OFFSET_OF_END
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 04:44:45 GMT 2023 - 1.6K bytes - Viewed (1) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > the core TensorFlow code will be built once for the host and once for the # > 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.
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ci/official/envs/macos_x86_cross_compile
source ci/official/envs/macos_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_macos_x86" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86 TFCI_MACOS_CROSS_COMPILE_ENABLE=1 TFCI_MACOS_CROSS_COMPILE_SDK_DEST="tensorflow/tools/toolchains/cross_compile/cc/MacOSX.sdk" TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE="/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk"
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ci/official/envs/linux_arm64_cross_compile
# ============================================================================== source ci/official/envs/linux_arm64 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_linux_arm64"
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Disable clang extension that rejects type definitions within offsetof. # This was added in clang-16 by https://reviews.llvm.org/D133574.
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # # Builds a devtoolset cross-compiler targeting manylinux2014 (glibc 2.17 / libstdc++ 4.8). VERSION="$1" TARGET="$2" case "${VERSION}" in devtoolset-9) LIBSTDCXX_VERSION="6.0.28" LIBSTDCXX_ABI="new" ;; devtoolset-10)
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# only on affected targets, usually. There are targets in //tensorflow/lite that # don't pass --nobuild, so they're on their own. # # Although buildifier checks for formatting as well, "bazel build nobuild" # checks for cross-file issues like bad includes or missing BUILD definitions. # # We can't test on the windows toolchains because they're using a legacy # toolchain format (or something) that specifies the toolchain directly instead
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ci/official/utilities/setup_macos.sh
if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then mkdir -p "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr" mkdir -p "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/System/Library/Frameworks/" cp -r "${TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE}/usr/include" "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr/include" cp -r "${TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE}/usr/lib" "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr/lib"
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RELEASE.md
layer which applies the hashing trick to the concatenation of crossed scalar inputs. This provides a stateless way to try adding feature crosses of integer or string data to a model. * Removed `keras.layers.experimental.preprocessing.CategoryCrossing`. Users should migrate to the `HashedCrossing` layer or use `tf.sparse.cross`/`tf.ragged.cross` directly.
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