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tensorflow/build_cleaner_spec.textproto
# proto-file: devtools/build_cleaner/proto/actions.proto # proto-message: ActionSpecs # Python rules should not have more than one source file. action_spec { action: CHECK_FILE_COUNT file_count_params { rule_selector { rule_kind_regex: "^.*py(type)?(_strict)?_(binary|library|test).*$" generator_function_regex: "^(?!boq_header)$" } max_source_count: 1 }
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tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
} // Add a parallel tensor with different values on each device to the variable. { TensorHandlePtr value_one(FloatTensorHandle(3., status.get())); TensorHandlePtr value_two(FloatTensorHandle(-2., status.get())); std::array<TFE_TensorHandle*, 2> components{value_one.get(), value_two.get()}; TensorHandlePtr combined_value =
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// Outputs: std::vector<TensorHandlePtr> op_outputs_ TF_GUARDED_BY(execution_mutex_); // TF_Status is an incomplete type and so can't be stack allocated. To avoid // unnecessary allocations each Execute call, we keep one heap-allocated // version for the thread. StatusPtr status_ TF_GUARDED_BY(execution_mutex_); const std::string device_; ExecutorPtr executor_ TF_GUARDED_BY(execution_mutex_);
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tensorflow/c/eager/parallel_device/parallel_device.cc
// // TODO(allenl): There are some use-cases that are only supported by copying to // host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either // need to return something here or address these use-cases one by one. TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context, TFE_TensorHandle* tensor, const char* target_device_name,
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README.md
**Raspberry Pi 2 and 3** | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.html) | [Py3](https://storage.googleapis.com/tensorflow-nightly/tensorflow-1.10.0-cp34-none-linux_armv7l.whl)
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tensorflow/c/eager/c_api_distributed_test.cc
const char task1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0"; const char task2_name[] = "/job:localhost/replica:0/task:2/device:CPU:0"; // Create one variable per task. TFE_TensorHandle* h0 = TestVariable(ctx, 1.0, task1_name); TFE_TensorHandle* h1 = TestVariable(ctx, 2.0, task2_name); TFE_TensorHandle* h2 = TestVariable(ctx, 3.0, task0_name);
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tensorflow/c/env.h
// // Otherwise, while traversing the tree, undeleted_file_count and // undeleted_dir_count are updated if an entry of the corresponding type could // not be deleted. The returned error status represents the reason that any one // of these entries could not be deleted. // // Typical status codes: // * TF_OK - dirname exists and we were able to delete everything underneath // * TF_NOT_FOUND - dirname doesn't exist
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