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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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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/eager/immediate_execution_context.h
// context and TF server for multi-client execution. virtual Status EnableCollectiveOps(const ServerDef& server_def) = 0; // Set a distributed manager that helps set up, update, and check liveness // of member tasks in the cluster. virtual void SetDistributedManager( std::unique_ptr<ImmediateExecutionDistributedManager> distributed) = 0; virtual ImmediateExecutionDistributedManager* GetDistributedManager() = 0;
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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/experimental/filesystem/modular_filesystem.cc
} if (values.empty()) { return errors::InvalidArgument( "SetConfiguration() needs number of values > 0"); } TF_Filesystem_Option option; memset(&option, 0, sizeof(option)); option.name = const_cast<char*>(name.c_str()); TF_Filesystem_Option_Value option_value; memset(&option_value, 0, sizeof(option_value)); option_value.type_tag = TF_Filesystem_Option_Type_Buffer;
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
size_t bytes_to_copy = 0; if (offset == 0) { // The first block (16 bytes) of the file. memset(buffer, 'x', n); bytes_to_copy = n; first_block = true; } else if (offset == block_size) { // The second block (8 bytes) of the file. bytes_to_copy = file_size - block_size; memset(buffer, 'x', bytes_to_copy); second_block = true; } TF_SetStatus(status, TF_OK, "");
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ci/official/utilities/generate_index_html.sh
<li>Job pool: $KOKORO_JOB_POOL</li> <li>Job ID: $KOKORO_BUILD_ID</li> <li>Current HEAD Piper Changelist, if any: cl/${KOKORO_PIPER_CHANGELIST:-not available}</li> <li>Pull Request Number, if any: ${KOKORO_GITHUB_PULL_REQUEST_NUMBER_tensorflow:- none}</li> <li>Pull Request Link, if any: <a href="$KOKORO_GITHUB_PULL_REQUEST_URL_tensorflow">${KOKORO_GITHUB_PULL_REQUEST_URL_tensorflow:-none}</a></li> <li>Commit: $KOKORO_GIT_COMMIT_tensorflow</li>
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tensorflow/c/eager/immediate_execution_tensor_handle.h
// is needed a static_cast can be applied. class ImmediateExecutionTensorHandle : public AbstractTensorHandle { public: // Returns number of dimensions. virtual Status NumDims(int* num_dims) const = 0; // Returns number of elements across all dimensions. virtual Status NumElements(int64_t* num_elements) const = 0; // Returns size of specified dimension //
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tensorflow/c/experimental/gradients/tape/tape_operation.cc
forward_op_.outputs.push_back(retvals[i]); } // TODO(b/166669239): This is needed to support AttrBuilder::Get for string // attributes. Number type attrs and DataType attrs work fine without this. // Consider getting rid of this and making the behavior between number types // and string consistent. forward_op_.attrs.BuildNodeDef(); // TODO(b/170307493): Populate skip_input_indices here.
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