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tensorflow/c/eager/immediate_execution_distributed_manager.h
class ImmediateExecutionDistributedManager { public: virtual ~ImmediateExecutionDistributedManager() {} // Set up distributed execution environment on local and remote tasks. // When `reset_context` is true, initialize new cluster context state based // on cluster configurations provided in `server_def`; otherwise, update // existing context state with the provided `server_def`. Contexts created
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// exporting a full trace so other code can do backpropagation. Not thread-safe. template <typename Gradient, typename BackwardFunction, typename TapeTensor> class GradientTape { public: // If `persistent` is true, GradientTape will not eagerly delete backward // functions (and hence the tensors they keep alive). Instead, everything // is deleted in ~GradientTape. Persistent GradientTapes are useful when
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/c_api_experimental.h
// Creates a new eager Executor. Nodes in one executor are guaranteed to be // 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.
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)