return result;
      }
      components.emplace_back(TFE_TensorHandleCopySharingTensor(
          absl::get<TFE_TensorHandle*>(inputs[i]), status));
    }
    std::vector<MaybeParallelTensorOwned> result_content;
    result_content.reserve(1);
    result_content.push_back(ParallelTensor::FromTensorHandles(
        parallel_device, std::move(components), status));

    components.reserve(underlying_devices_.size());
    for (int j = 0; j < underlying_devices_.size(); ++j) {
      components.push_back(std::move(per_device_output_tensors[j][i]));
    }
    if (expected_output_shapes[i].IsFullyDefined()) {
      per_device_outputs.push_back(ParallelTensor::FromTensorHandles(
          *this, std::move(components),
          absl::Span<const int64_t>(expected_output_shapes[i].dim_sizes()),

    // -----------------------------------------------------------------------------------------------

    // TODO These two tests display a lack of symmetry with respect to the input which is a free form string and the
    //      mojo descriptor which comes back. All the free form parsing needs to be done somewhere else, this is
    //      really the function of the CLI, and then the pre-processing of that output still needs to be fed into

		h := xxh3.Hash(dst)
		dst = binary.LittleEndian.AppendUint32(dst, uint32(h))
	}
	return m.parent.send(m.ctx, dst)
}

// RequestStateless will send a single payload request and stream back results.
// req may not be read/written to after calling.
// TODO: Not implemented
func (m *muxClient) RequestStateless(h HandlerID, req []byte, out chan<- Response) {
	if m.init {

        TFE_DeleteTensorHandle(outputs[i]);
      }
    }
    return status.status;
  }

  tensorflow::Status Pack(absl::Span<ImmediateExecutionTensorHandle*> handles,
                          ImmediateExecutionTensorHandle** result) override {
    TF_Status status;
    *result = tensorflow::unwrap(device_.pack(context_,
                                              tensorflow::wrap(handles.data()),

    settings1[Settings.MAX_CONCURRENT_STREAMS] = maxConcurrentStreams
    peer.sendFrame().settings(settings1)
    peer.acceptFrame() // ACK
    peer.sendFrame().ping(false, 2, 0)
    peer.acceptFrame() // PING
    peer.play()

    // Play it back.
    val connection =
      Http2Connection.Builder(true, TaskRunner.INSTANCE)
        .socket(peer.openSocket())

        ArtifactFilter resolutionFilter = request.getResolutionFilter();
        RepositorySystemSession session = getSession(request.getLocalRepository());

        // TODO: hack because metadata isn't generated in m2e correctly and i want to run the maven i have in the
        // workspace
        if (source == null) {
            try {

    for (int i = 0; i < noutputs; ++i) {
      output_names_vec.push_back(string(output_names[i]));
    }
  }

  // Process control output names.
  std::vector<string> control_output_names_vec;
  if (control_output_names) {
    control_output_names_vec.reserve(ncontrol_outputs);
    for (int i = 0; i < ncontrol_outputs; ++i) {
      control_output_names_vec.push_back(string(control_output_names[i]));
    }
  }

        // GradientTape which uses ones.
        Gradient* zero = input_tensors[target_index].ZerosLike();
        new_zeros.push_back(zero);
        in_grads.push_back(zero);
      } else {
        in_grads.push_back(nullptr);
      }
    } else {
      in_grads.push_back(current_grad->second);
    }
  }

  // Avoid infinite recursion. Whichever forward function we run, it'll end up

labels.logout_button=Logout
labels.profile=Change Password
labels.administration=Administration
labels.profile_button=Profile
labels.profile.title=Profile
labels.profile.update=Update
labels.profile.back=Back
labels.profile.placeholder_old_password=Current Password
labels.profile.placeholder_new_password=New Password
labels.profile.placeholder_confirm_new_password=Confirm New Password
labels.top.search=Search