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CODE_OF_CONDUCT.md
## Conflict Resolution Conflicts in an open source project can take many forms, from someone having a bad day and using harsh and hurtful language in the issue queue, to more serious instances such as sexist/racist statements or threats of violence, and everything in between. If the behavior is threatening or harassing, or for other reasons requires immediate escalation, please see below.
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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:
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.github/workflows/scorecards-analysis.yml
with: results_file: results.sarif results_format: sarif # Publish the results to enable scorecard badges. For more details, see # https://github.com/ossf/scorecard-action#publishing-results. # For private repositories, `publish_results` will automatically be set to `false`, # regardless of the value entered here.
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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
// MakeCleanup(f) returns an RAII cleanup object that calls 'f' in its // destructor. The easiest way to use MakeCleanup is with a lambda argument, // capturing the return value in an 'auto' local variable. Most users will not // need more sophisticated syntax than that. // // Example: // void func() { // FILE* fp = fopen("data.txt", "r"); // if (fp == nullptr) return; // auto fp_cleaner = gtl::MakeCleanup([fp] { fclose(fp); });
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tensorflow/c/eager/abstract_operation.h
#include <memory> #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/tensor_interface.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/framework/types.pb.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Abstract interface to an operation. // This interface allows building and executing an operation in either
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
#include "tensorflow/c/eager/parallel_device/parallel_device.h" #include "tensorflow/c/eager/parallel_device/parallel_device_testlib.h" #include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h" #include "tensorflow/core/platform/test.h" tensorflow::ServerDef GetServerDef(const std::string& job_name, int num_tasks) { tensorflow::ServerDef server_def; server_def.set_protocol("grpc");
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tensorflow/api_template.__init__.py
# For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied # to tensorflow/ which does have these two directories. try: del python except NameError: pass try: del core except NameError: pass try: del compiler except NameError: pass
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/cc/saved_model:saved_model_half_plus_two //tensorflow:no_tensorflow_py_deps //tensorflow/tools/pip_package:win_pip_package_marker //tensorflow/core:image_testdata //tensorflow/core/lib/lmdb:lmdb_testdata //tensorflow/core/lib/lmdb/testdata:lmdb_testdata //tensorflow/core/kernels/cloud:bigquery_reader_ops //tensorflow/python:extra_py_tests_deps //tensorflow/python:mixed_precision //tensorflow/python:tf_optimizer
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tensorflow/c/eager/c_api.h
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandle(const TF_Tensor* t, TF_Status* status); // Indicates that the caller will not be using `h` any more. TF_CAPI_EXPORT extern void TFE_DeleteTensorHandle(TFE_TensorHandle* h); TF_CAPI_EXPORT extern TF_DataType TFE_TensorHandleDataType(TFE_TensorHandle* h);
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tensorflow/c/c_api.cc
#include "tensorflow/core/framework/tensor.pb.h" // NOLINT #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/framework/tensor_shape.pb.h" #include "tensorflow/core/framework/types.h" #include "tensorflow/core/framework/versions.pb.h" #include "tensorflow/core/graph/graph.h" #include "tensorflow/core/graph/node_builder.h" #include "tensorflow/core/graph/validate.h"
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