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  1. 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.
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Feb 21 22:37:46 GMT 2024
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  2. 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.
    //
    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)
  3. 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.
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Feb 21 22:37:46 GMT 2024
    - 2.9K bytes
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