if (TF_GetCode(status) != TF_OK) {
    cancellation_manager_->StartCancel();
    return;
  }
  unwrapped_results.resize(real_num_outputs);
  outputs->reserve(real_num_outputs);
  for (TFE_TensorHandle* unwrapped_result : unwrapped_results) {
    outputs->emplace_back(unwrapped_result);
  }
}

ParallelDevice::ParallelDevice(const std::vector<std::string>& devices,

  explicit CSession(TF_Session* session);

  ~CSession();

  void SetInputs(std::vector<std::pair<TF_Operation*, TF_Tensor*>> inputs);
  void SetOutputs(std::initializer_list<TF_Operation*> outputs);
  void SetOutputs(const std::vector<TF_Output>& outputs);
  void SetTargets(std::initializer_list<TF_Operation*> targets);

  void Run(TF_Status* s);

  void CloseAndDelete(TF_Status* s);

    // Convert back to a C++ Tensor and ensure we get expected output.
    Tensor output;
    ASSERT_EQ(absl::OkStatus(), TF_TensorToTensor(dst, &output)) << line;
    ASSERT_EQ(src.NumElements(), output.NumElements()) << line;
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      ASSERT_EQ(data[i], output.flat<tstring>()(i)) << line;
    }

    TF_DeleteTensor(dst);
  }
}

	}

	fErr := cmd.Execute()
	output := out.String()

	if c.expectedException {
		if fErr == nil {
			t.Fatalf("Wanted an exception, "+
				"didn't get one, output was %q", output)
		}
	} else {
		if fErr != nil {
			t.Fatalf("Unwanted exception: %v", fErr)
		}
	}

	if c.expectedOutput != "" && c.expectedOutput != output {
		assert.Equal(t, c.expectedOutput, output)

  }

  VLOG(1) << "Running the dequeue op";
  TF_Output output{dequeue_op, 0};
  TF_Tensor* ret;
  TF_SessionRun(session, /*run_options*/ nullptr,
                // input related parameters
                /*inputs*/ nullptr, /*input_values*/ nullptr, /*ninputs*/ 0,
                // output related parameters
                /*outputs*/ &output, /*output_values*/ &ret,
                /*noutputs*/ 1,

 *
 * @param <InputT> the type of the individual inputs
 * @param <OutputT> the type of the output (i.e. this) future
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
@SuppressWarnings(
    // Whenever both tests are cheap and functional, it's faster to use &, | instead of &&, ||
    "ShortCircuitBoolean")
abstract class AggregateFuture<InputT extends @Nullable Object, OutputT extends @Nullable Object>
    extends AggregateFutureState<OutputT> {

)

// EnableQuiet - turns quiet option on.
func EnableQuiet() {
	color.TurnOff() // no colored outputs necessary in quiet mode.
	quietFlag = true
}

// EnableJSON - outputs logs in json format.
func EnableJSON() {
	color.TurnOff() // no colored outputs necessary in JSON mode.
	jsonFlag = true
	quietFlag = true
}

// EnableAnonymous - turns anonymous flag

    std::vector<MaybeParallelTensorOwned> outputs;
    outputs.reserve(t->num_tensors());
    for (int i = 0; i < t->num_tensors(); ++i) {
      TensorHandlePtr this_output(
          TFE_TensorHandleCopySharingTensor(t->tensor(i), status));
      outputs.emplace_back(std::move(this_output));
      if (TF_GetCode(status) != TF_OK) return result;
    }
    result.emplace(std::move(outputs));
    return result;
  }

FastAPI uses a **unique ID** for each *path operation*, it is used for the **operation ID** and also for the names of any needed custom models, for requests or responses.

You can customize that function. It takes an `APIRoute` and outputs a string.

For example, here it is using the first tag (you will probably have only one tag) and the *path operation* name (the function name).

 * </ul>
 *
 * <h2>Usage Example</h2>
 *
 * <pre>
 * {@code
 * Session session = ... // Obtain a Maven session
 * Packaging packaging = session.requirePackaging("jar");
 * System.out.println(packaging.getId()); // Outputs "jar"
 * }
 * </pre>
 *
 * @see org.apache.maven.api.Session#requirePackaging(String)
 * @see org.apache.maven.api.Project#getPackaging()
 * @see org.apache.maven.api.model.Model#getPackaging()
 * @since 4.0.0
 */