int num_retvals = 1;
  std::vector<AbstractTensorHandle*> outputs(1);
  GradientRegistry registry;
  s = RegisterGradients(&registry);
  ASSERT_EQ(errors::OK, s.code()) << s.message();
  auto tape = std::make_unique<Tape>(/*persistent=*/false);
  s = Execute(check_numerics_op.get(), ctx.get(), absl::MakeSpan(outputs),
              &num_retvals, &forward_op, tape.get(), registry);

Because of that, the JSON Schema for a model can be different depending on if it's used for **input or output**:

* for **input** the `description` will **not be required**
* for **output** it will be **required** (and possibly `None`, or in JSON terms, `null`)

### Model for Output in Docs

You can check the output model in the docs too, **both** `name` and `description` are marked as **required** with a **red asterisk**:

    private final String input;

    private final String output;

    private String newInput;

    private String newOutput;

    public StemmerOverrideItem(final long id, final String input, final String output) {
        this.id = id;
        this.input = input;
        this.output = output;

        if (id == 0) {
            // create
            newInput = input;

        run: |
          groovy .github/workflows/CheckBadMerge.groovy $(<pr_commits.txt) > output.txt 2>&1
      - name: Read output file
        id: read_output
        if: ${{ always() }}
        run: |
          cat output.txt
          OUTPUT=$(cat output.txt)
          echo "OUTPUT<<EOF" >> $GITHUB_ENV
          echo "$OUTPUT" >> $GITHUB_ENV
          echo "EOF" >> $GITHUB_ENV
      - name: Comment on PR if check failed

    @Override
    public void write(File output, Map<String, Object> options, Settings settings) throws IOException {
        Objects.requireNonNull(output, "output cannot be null");
        Objects.requireNonNull(settings, "settings cannot be null");

        output.getParentFile().mkdirs();

        write(Files.newOutputStream(output.toPath()), options, settings);
    }

    @Override

    private final String[] inputs;

    private final String output;

    private String[] newInputs;

    private String newOutput;

    public CharMappingItem(final long id, final String[] inputs, final String output) {
        this.id = id;
        this.inputs = inputs;
        this.output = output == null ? null : output.replace("\n", " ");
        Arrays.sort(inputs);

        if (id == 0) {

     * @throws IOException If the model could not be serialized.
     */
    void write(OutputStream output, Map<String, Object> options, Model model) throws IOException;

    /**
     * Writes the supplied model to the specified file. Any non-existing parent directories of the output file will be
     * created automatically.
     *
     * @param output The file to serialize the model to, must not be {@code null}.

 * selects a particular version and downloads the artifact in the local repository.</p>
 *
 * <p>{@link org.apache.maven.api.Node} is the main output of the <dfn>dependency collection</dfn> process.
 * it's the graph of dependencies. The above-cited {@code Dependency} instances are the outputs of the
 * collection process, part of the graph computed from one or more {@code DependencyCoordinates}.</p>
 *

        absl::StrCat("ZerosLike", ToId(t)).c_str()));
  }
  TF_RETURN_IF_ERROR(op->AddInput(t));
  int num_outputs = 1;
  std::vector<AbstractTensorHandle*> outputs(num_outputs);
  TF_RETURN_IF_ERROR(
      op->Execute(absl::Span<AbstractTensorHandle*>(outputs), &num_outputs));
  *result = outputs[0];
  return absl::OkStatus();
}
}  // namespace

absl::Status GradientRegistry::Register(

		if err != nil {
			return nil, err
		}

		// Pick output column names
		if expr.As != "" {
			output, err = output.Set(expr.As, v)
		} else if comp, ok := getLastKeypathComponent(expr.Expression); ok {
			output, err = output.Set(comp, v)
		} else {
			output, err = output.Set(fmt.Sprintf("_%d", i+1), v)
		}
		if err != nil {
			return nil, err
		}
	}