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Results 1 - 3 of 3 for resync (0.3 sec)

  1. tensorflow/c/eager/immediate_execution_operation.h

      virtual Status InputLength(const char* input_name, int* length) = 0;
      virtual Status OutputLength(const char* output_name, int* length) = 0;
    
      // Set stack trace to be used for potential async error reporting.
      virtual void SetStackTrace(ManagedStackTrace stack_trace) = 0;
    
      virtual const tensorflow::AbstractOpAttrs* GetOpAttrs() const = 0;
      virtual void AddAttrs(const AbstractOpAttrs* op_attrs) = 0;
    
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Sep 26 22:40:32 GMT 2022
    - 3.6K bytes
    - Viewed (0)
  2. tensorflow/c/eager/c_api_internal.h

    // TODO(b/154564140): Move this to its own header. This requires splitting
    // c_api_experimental.h
    struct TFE_ContextOptions {
      TF_SessionOptions session_options;
      // true if async execution is enabled.
      bool async = false;
      TFE_ContextDevicePlacementPolicy device_placement_policy{
          TFE_DEVICE_PLACEMENT_SILENT};
      // If true, use TFRT backend
      bool use_tfrt = false;
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Jan 18 19:26:34 GMT 2023
    - 1.9K bytes
    - Viewed (0)
  3. tensorflow/c/eager/tfe_executor_internal.h

    #include <memory>
    
    #include "tensorflow/core/common_runtime/eager/eager_executor.h"
    
    struct TFE_Executor {
      explicit TFE_Executor(bool async, bool enable_streaming_enqueue,
                            int in_flight_nodes_limit)
          : owned_executor(new tensorflow::EagerExecutor(
                async, enable_streaming_enqueue, in_flight_nodes_limit)) {}
    
      explicit TFE_Executor(tensorflow::EagerExecutor* executor)
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Nov 22 20:30:59 GMT 2022
    - 1.5K bytes
    - Viewed (0)
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