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Results 1 - 2 of 2 for let (0.27 sec)

  1. tensorflow/c/eager/c_api_experimental.cc

            tensorflow::unwrap(handles[i]);
        if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
          // One of the inputs we're trying to pack is on a custom device. We'll let
          // the first custom device we see handle all of the packing.
          auto* custom_device_handle =
              tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
                  unwrapped_handle);
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Apr 11 23:52:39 GMT 2024
    - 35.9K bytes
    - Viewed (3)
  2. tensorflow/c/eager/c_api.cc

        return status.status;
      }
    
      absl::StatusOr<bool> ShallPinToThisDevice(
          const ImmediateExecutionOperation* op) override {
        TF_Status status;
        // Let this custom device choose the device to pin this op on if it
        // implements the pinning function.
        if (device_.shall_pin_to_this_device != nullptr) {
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Mar 12 20:00:09 GMT 2024
    - 43.9K bytes
    - Viewed (2)
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