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tensorflow/c/eager/c_api_experimental.h
// executed in sequence. Assigning nodes to different executors allows executing // nodes in parallel. // in_flight_nodes_limit: when is_async is true, this value controls the // maximum number of in flight async nodes. Enqueuing of additional async ops // after the limit is reached blocks until some inflight nodes finishes. // The effect is bounding the memory held by inflight TensorHandles that are
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.h
~ModularWritableFile() override { ops_->cleanup(file_.get()); } Status Append(StringPiece data) override; Status Close() override; Status Flush() override; Status Sync() override; Status Name(StringPiece* result) const override; Status Tell(int64_t* position) override; private: std::string filename_; std::unique_ptr<TF_WritableFile> file_;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
#include "tensorflow/core/util/device_name_utils.h" namespace tensorflow { class EagerExecutor; class EagerContext; class CustomDevice; class CustomDeviceOpHandler; class Device; // LINT.IfChange // Note: Keep in sync with exported copy of enum in eager/c_api.h. enum ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. DEVICE_PLACEMENT_EXPLICIT = 0,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0)