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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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CONTRIBUTING.md
just getting started, GitHub has a [how-to](https://help.github.com/articles/using-pull-requests/). TensorFlow team members will be assigned to review your pull requests. Once the pull requests are approved and pass continuous integration checks, a TensorFlow team member will apply `ready to pull` label to your change. This means we are working on getting your pull request submitted to our internal repository. After
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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/experimental/filesystem/filesystem_interface.h
/// that are only valid on random access files have a `TF_RandomAccessFile` /// argument. /// /// Lifetime: The wrapper data structures are owned by core TensorFlow. The data /// pointed to by the `void*` members is always owned by the plugin. The plugin /// will provide functions to call to allocate and deallocate this data (see /// next sections) and core TensorFlow ensures to call these at the proper time. ///
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tensorflow/c/experimental/grappler/grappler.cc
TP_OPTIMIZER_REGISTRATION_PARAMS_STRUCT_SIZE); VALIDATE_MEMBER(TP_OptimizerRegistrationParams, params, device_type); return absl::OkStatus(); } absl::Status ValidateTPOptimizer(const TP_Optimizer& optimizer) { VALIDATE_STRUCT_SIZE(TP_Optimizer, optimizer, TP_OPTIMIZER_STRUCT_SIZE); VALIDATE_MEMBER(TP_Optimizer, optimizer, optimize_func); return absl::OkStatus(); }
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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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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
if (scheme == nullptr) return errors::InvalidArgument( "Attempted to register filesystem with `nullptr` URI scheme"); return OkStatus(); } // Checks if the plugin and core ABI numbers match. // // If the numbers don't match, plugin cannot be loaded. static Status CheckABI(int pluginABI, int coreABI, StringPiece where) { if (pluginABI != coreABI) return errors::FailedPrecondition(
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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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