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tensorflow/c/eager/c_api_experimental.h
// Dynamic cluster API. // Update an existing context with a new set of servers defined in a ServerDef // proto. Servers can be added to and removed from the list of remote workers // in the context. A New set of servers identified by the ServerDef must be up // when the context is updated. // // This API is for experimental usage and may be subject to change.
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tensorflow/c/c_api.h
TF_Graph* const cond_graph; const TF_Output* const cond_inputs; TF_Output cond_output; // The loop body graph. The inputs are the current values of the loop // variables. The outputs are the updated values of the loop variables. TF_Graph* const body_graph; const TF_Output* const body_inputs; TF_Output* const body_outputs; // Unique null-terminated name for this while loop. This is used as a prefix
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tensorflow/c/eager/tape.h
// targets (not all since targets which have outputs in the tape will not have // gradients available initially). // // Then we repeatedly pop an entry from the stack, run its backprop, and update // the gradients of its inputs. Once we have computed all gradients for a single // input we can mark this input as done, and this can trigger adding an entry to // the stack if all outputs of that entry are now done. //
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tensorflow/c/eager/immediate_execution_distributed_manager.h
// 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 // on remote tasks will be considered stale and garbage collected after // `keep_alive_secs` of inactivity.
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tensorflow/c/eager/immediate_execution_context.h
virtual void EndStep() = 0; // Return the Eager Executor for current thread. Please note that Eager // Executor is only used in current TF but not in TFRT. virtual EagerExecutor& Executor() = 0; // Update the Eager Executor for current thread. virtual void SetExecutorForThread(EagerExecutor* executor) = 0; // Return a list of local tensorflow::Device*. // TODO(tfrt-devs): We shouldn't expose legacy device in this API.
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