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  1. tensorflow/c/eager/parallel_device/parallel_device.h

    // two component devices, running `x = TPUReplicatedInput(inputs=[a, b])` on the
    // parallel device creates a parallel tensor `x` with `a` on the first of
    // `underlying_devices` and `b` on the second. Running `a_unpacked, b_unpacked =
    // TPUReplicatedOutput(input=x, num_replicas=2)` un-packs the parallel tensor
    // into its components.
    //
    // The filled `device` struct and the allocated `device_info` struct may be
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Jun 04 21:49:16 GMT 2020
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  2. tensorflow/c/c_api_experimental.h

    // from a placeholder node "arg_tensor_enqueue_<tensor_id>".
    //
    // `tensor` is still owned by the caller. This call will be blocked if the queue
    // has reached its capacity, and will be unblocked when the queued tensors again
    // drop below the capacity due to dequeuing.
    //
    // Tensors are dequeued via the corresponding TF dequeue op.
    // TODO(hongm): Add support for `timeout_ms`.
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Apr 27 21:07:00 GMT 2023
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  3. tensorflow/c/eager/tape.h

    // (also known as adjoint function) to compute, given downstream gradients,
    // upstream gradients.
    //
    // TODO(apassos) provide concrete template instantiations for TFE_TensorHandle
    // specialization, which is blocked by quite a few things needing to loop back
    // into python now.
    template <typename Gradient, typename BackwardFunction, typename TapeTensor>
    class VSpace {
     public:
      virtual ~VSpace() {}
    
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 02 12:40:29 GMT 2024
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  4. tensorflow/c/eager/c_api.h

      TFE_DEVICE_PLACEMENT_EXPLICIT = 0,
      // Copy the tensor to the right device but log a warning.
      TFE_DEVICE_PLACEMENT_WARN = 1,
      // Silently copy the tensor, which has a performance cost since the operation
      // will be blocked till the copy completes. This is the default placement
      // policy.
      TFE_DEVICE_PLACEMENT_SILENT = 2,
      // Placement policy which silently copies int32 tensors but not other dtypes.
      TFE_DEVICE_PLACEMENT_SILENT_FOR_INT32 = 3,
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Apr 27 21:07:00 GMT 2023
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  5. tensorflow/c/eager/immediate_execution_context.h

      DEVICE_PLACEMENT_EXPLICIT = 0,
      // Copy the tensor to the right device but log a warning.
      DEVICE_PLACEMENT_WARN = 1,
      // Silently copy the tensor, which has a performance cost since the operation
      // will be blocked till the copy completes. This is the default policy.
      DEVICE_PLACEMENT_SILENT = 2,
      // Placement policy which silently copies int32 tensors but not other dtypes.
      DEVICE_PLACEMENT_SILENT_FOR_INT32 = 3,
    };
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Jul 06 08:34:00 GMT 2023
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