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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/python/debug:grpc_tensorflow_server.par //tensorflow/python/feature_column:vocabulary_testdata //tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell //tensorflow/lite/experimental/examples/lstm:rnn_cell.py //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py //tensorflow/lite/python:interpreter
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tensorflow/c/c_api.cc
TF_Graph::TF_Graph() : graph(tensorflow::OpRegistry::Global()), refiner(graph.versions().producer(), graph.op_registry()), delete_requested(false), parent(nullptr), parent_inputs(nullptr) { // Tell the shape refiner to also run shape inference on functions. refiner.set_function_library_for_shape_inference(&graph.flib_def()); } TF_Graph* TF_NewGraph() { return new TF_Graph; }
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
description: If compiling from source - type: textarea id: what-happened attributes: label: Current behavior? description: Also tell us, what did you expect to happen? placeholder: Tell us what you see! validations: required: true - type: textarea id: code-to-reproduce attributes: label: Standalone code to reproduce the issue
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tensorflow/c/eager/c_api_experimental_reader.h
#define TENSORFLOW_C_EAGER_C_API_EXPERIMENTAL_READER_H_ #include "tensorflow/c/eager/c_api.h" #ifdef __cplusplus extern "C" { #endif // Test only exports of the monitoring Cell Reader API which allows tests to // read current values from streamz counters defined in other modules. // // The code under test will have created streamz counters like this:
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README.md
learning and neural networks. However, the framework is versatile enough to be used in other areas as well. TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python) and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a non-guaranteed backward compatible API for [other languages](https://www.tensorflow.org/api_docs).
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ci/official/utilities/setup.sh
# Therefore, "tfrun" commands cannot include pipes -- which is # probably for the better. If a pipe is necessary for something, it is probably # complex. Write a well-documented script under utilities/ to encapsulate the # functionality instead. tfrun() { "$@"; } # Run all "tfrun" commands under Docker. See setup_docker.sh for details if [[ "$TFCI_DOCKER_ENABLE" == 1 ]]; then
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.github/ISSUE_TEMPLATE/tflite-other.md
compiling from source placeholder: validations: required: false - type: textarea id: what-happened attributes: label: Current Behaviour? description: Also tell us, what did you expect to happen? placeholder: Tell us what you see! value: "A bug happened!" render: shell validations: required: true - type: textarea id: code-to-reproduce attributes: label: Standalone code to
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tensorflow/c/eager/c_api_experimental_test.cc
CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_DeleteStatus(status); auto* cell = TFE_MonitoringGetCellCounter0(counter); TFE_MonitoringCounterCellIncrementBy(cell, 1); EXPECT_EQ(TFE_MonitoringCounterCellValue(cell), 1); auto* collection_registry = monitoring::CollectionRegistry::Default(); monitoring::CollectionRegistry::CollectMetricsOptions options;
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tensorflow/c/experimental/filesystem/modular_filesystem.cc
*result = filename_; return OkStatus(); } Status ModularWritableFile::Tell(int64_t* position) { if (ops_->tell == nullptr) return errors::Unimplemented( tensorflow::strings::StrCat("Tell() not implemented for ", filename_)); UniquePtrTo_TF_Status plugin_status(TF_NewStatus(), TF_DeleteStatus); *position = ops_->tell(file_.get(), plugin_status.get()); return StatusFromTF_Status(plugin_status.get()); }
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
if (!status.ok()) GTEST_SKIP() << "NewWritableFile() not supported: " << status; int64_t position; status = file->Tell(&position); EXPECT_PRED2(UnimplementedOrReturnsCode, status, Code::OK); if (!status.ok()) GTEST_SKIP() << "Tell() not supported: " << status; EXPECT_EQ(position, 0); const std::string test_data("asdf"); status = file->Append(test_data);
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