output_tensors->reserve(noutputs);
  for (int i = 0; i < noutputs; ++i) {
    Node* node = outputs[i].oper ? &outputs[i].oper->node : nullptr;
    int idx = outputs[i].index;
    TF_RETURN_WITH_CONTEXT_IF_ERROR(
        fn_body->graph.IsValidOutputTensor(node, idx),
        "Encountered while processing output ", i, " from function '", fn_name,
        "'");
    TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx),

        }
    }

    /**
     * Outputs INFO information.
     *
     * @param message
     *            Message
     */
    public void info(final Object message) {
        if (isInfoEnabled()) {
            log.info(toString(message));
        }
    }

    /**
     * Outputs WARN information.
     *
     * @param message
     *            Message

                    final List<String> outputStrings = split(sides.get(1), ",");
                    outputs = new String[outputStrings.size()];
                    for (int i = 0; i < outputs.length; i++) {
                        outputs[i] = unescape(outputStrings.get(i)).trim();
                    }

                    if (inputs.length > 0 && outputs.length > 0) {
                        id++;

                return matchOutput;
            }

            pendingOutput = fst.outputs.add(pendingOutput, scratchArc.output());

            if (scratchArc.isFinal()) {
                matchOutput = fst.outputs.add(pendingOutput, scratchArc.nextFinalOutput());
                longestMatchEndOffset = start + index + Character.charCount(codePoint);
            }

     *
     * Rough instructions to regenerate the test outputs and verify correctness:
     * - Temporarily change this test:
     * --- Comment out assertEquals.
     * --- System.out.println(input + " " + simplifyPath(input));
     * --- fail(). (If the test were to pass, its output would be hidden.)
     * - Run the test.
     * - Pull the relevant lines of output from the test into a testcases file.
     * - Test the output:

                log(buf);
            }
        });
    }

    /**
     * Outputs statistics information for a crawler object.
     *
     * @param keyObj the crawler object the statistics relate to
     * @param data the statistics data to output
     * @param begin the timestamp when tracking began
     * @param done whether tracking was completed normally
     */

        Consumer<ProcessBuilder> pbCall = pb -> {
            pb.redirectErrorStream(true);
        };

        List<String> outputs = new ArrayList<>();
        Consumer<String> outputCallback = output -> outputs.add(output);

        try {
            JobProcess jobProcess = processHelper.startProcess(sessionId, cmdList, pbCall, 1024, outputCallback);
            assertNotNull(jobProcess);

            validateSynonymString(action, newInputs, "inputs", hook);
            entity.setNewInputs(newInputs);
            final String[] newOutputs = splitLine(form.outputs);
            validateSynonymString(action, newOutputs, "outputs", hook);
            entity.setNewOutputs(newOutputs);
            return entity;
        });
    }

  TF_Operation* neg = Neg(feed, func_graph.get(), s.get());

  TF_Output inputs[] = {{feed, 0}};
  TF_Output outputs[] = {{neg, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name, append_hash, -1,
                             /*opers=*/nullptr, 1, inputs, 1, outputs,
                             /*output_names=*/nullptr,
                             /*opts=*/nullptr, description, s.get());

  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,