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CODE_OF_CONDUCT.md
* Being respectful of differing viewpoints and experiences. * Gracefully accepting constructive criticism. * Focusing on what is best for the community. * Showing empathy towards other community members. Examples of unacceptable behavior by participants include: * The use of sexualized language or imagery and unwelcome sexual attention or advances.
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tensorflow/c/c_api_macros.h
#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
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tensorflow/c/c_api_macros_internal.h
#define TENSORFLOW_C_C_API_MACROS_INTERNAL_H_ #ifdef __cplusplus #include "tensorflow/core/platform/status.h" // Macro to verify that the field `struct_size` of STRUCT_OBJ is initialized. // `struct_size` is used for struct member compatibility check between core TF // and plug-ins with the same C API minor version. More info here: // https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api/C_API_versioning_strategy.md
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ci/official/README.md
# See full examples below for more details on these. Some other modifiers are: # Ex. versions_upload -- for TF official release versions # Ex. nightly_upload -- for TF nightly official builds; changes version numbers # Ex. no_upload -- Disable all uploads, usually for temporary CI issues # Recommended: use a local+remote cache. # # Bazel will cache your builds in tensorflow/build_output/cache,
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ci/official/libtensorflow.sh
source "${BASH_SOURCE%/*}/utilities/setup.sh" # Record GPU count and CUDA version status if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then tfrun nvidia-smi fi # Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly fi
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ci/official/wheel.sh
source "${BASH_SOURCE%/*}/utilities/setup.sh" # Record GPU count and CUDA version status if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then tfrun nvidia-smi fi # Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly # replace tensorflow to tf_nightly in the wheel name
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.github/workflows/sigbuild-docker.yml
username: _json_key password: ${{ secrets.GCP_CREDS }} - name: Grab the upcoming TF version to tag this container run: | # [[:digit:]] searches for numbers and \+ joins them together major_version=$(grep "^#define TF_MAJOR_VERSION" ./tensorflow/core/public/version.h | grep -o "[[:digit:]]\+")
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ci/official/upload.sh
# This script uploads all staged artifacts from all previous builds in the same # job chain to GCS and PyPI. source "${BASH_SOURCE%/*}/utilities/setup.sh" # Update the version numbers for Nightly only, then fetch the version numbers # for choosing the final directory name. This adds "-devYYYYMMDD" to the end of # the version string (.devYYYYMMDD for Python; see pypi.org/project/tf-nightly)
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ci/official/envs/nightly_upload
TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/nightly/latest/" TFCI_ARTIFACT_STAGING_GCS_ENABLE=1 TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-artifact-staging/staging/nightly/$(git rev-parse HEAD)/" # 2. The internal version numbers get changed TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1 # 3. Push results to public build cache (unique cache for MacOS) if [[ $(uname -s) == "Darwin" ]]; then
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