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Results 1 - 3 of 3 for awaitable (0.19 sec)

  1. tensorflow/c/eager/c_api_unified_experimental_graph.cc

      ~GraphOperation() override {}
    
     private:
      friend class GraphContext;  // For access to op_.
      TF_Graph* g_;
      std::unique_ptr<TF_OperationDescription> op_;
      // Hold `op_type` and `op_name` till both are available since we need both
      // to build a graph operation.
      string op_type_;
      const char* op_name_ = nullptr;
      // TODO(srbs): Use this.
      string device_name_;
    };
    
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Mar 12 20:00:09 GMT 2024
    - 15.4K bytes
    - Viewed (1)
  2. tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc

      ops->writable_file_ops = static_cast<TF_WritableFileOps*>(
          plugin_memory_allocate(TF_WRITABLE_FILE_OPS_SIZE));
      ops->writable_file_ops->cleanup = tf_writable_file::Cleanup;
      ops->writable_file_ops->append = tf_writable_file::Append;
      ops->writable_file_ops->tell = tf_writable_file::Tell;
      ops->writable_file_ops->flush = tf_writable_file::Flush;
      ops->writable_file_ops->sync = tf_writable_file::Sync;
    C++
    - Registered: Tue Apr 23 12:39:09 GMT 2024
    - Last Modified: Sun Mar 24 20:08:23 GMT 2024
    - 15.8K bytes
    - Viewed (0)
  3. tensorflow/c/eager/tape.h

    // any gradients to be computed).
    //
    // Finally, we start a backprop stack with a set of tape entries for which we
    // have all gradients available. This set usually is a subset of the set of
    // 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
    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)
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