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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
ParallelDevice::ParallelDevice(const std::vector<std::string>& devices, bool is_async, int in_flight_nodes_limit) : underlying_devices_(devices), default_cancellation_manager_(absl::make_unique<CancellationManager>()) { device_threads_.reserve(devices.size()); for (int device_index = 0; device_index < devices.size(); ++device_index) { device_threads_.emplace_back(new DeviceThread(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
TF_DataType datatype_enum( static_cast<TF_DataType>(DataTypeToEnum<DataType>().value)); for (int device_index = 0; device_index < num_underlying_devices(); ++device_index) { auto device_value = absl::make_unique<DataType>(); *device_value = values[device_index]; std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> tensor( TF_NewTensor( datatype_enum, /*dims=*/nullptr, /*num_dims=*/0,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/c_api_function.cc
} // Converts `ninputs` and `inputs` into `inputs_tensors` and `input_nodes` and // does various checks while doing so. `input_nodes` will contain the same // information as input_tensors just in a different structure to make // following processing easier. TODO(iga): Simplify this nested structure. Status ProcessInputs( const TF_Graph* fn_body, const char* fn_name, int ninputs, const TF_Output* inputs, std::vector<OutputTensor>* input_tensors,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/eager/parallel_device/parallel_device.cc
TFE_TensorHandleDevicePointer(tensor, status)); if (TF_GetCode(status) != TF_OK) return nullptr; if (parallel_tensor->num_tensors() == 1) { // Copy-off for single-device tensors is allowed to make debugging dynamic // control flow easier. return TFE_TensorHandleCopySharingTensor(parallel_tensor->tensor(0), status); } else { TF_SetStatus(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0)