return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {
        final Map<String, Object> updateMap = new HashMap<>();
        updateMap.put("outputs", "new_outputs");
        return updateMap;
    }

    @Test
    void crudTest() {
        testCreate();
        testRead();
        testUpdate();
        testDelete();
    }

     *
     * @return The new output stem.
     */
    public String getNewOutput() {
        return newOutput;
    }

    /**
     * Sets the new output stem.
     *
     * @param newOutputs The new output stem.
     */
    public void setNewOutput(final String newOutputs) {
        newOutput = newOutputs;
    }

    /**
     * Gets the original input word.
     *
     * @return The original input word.

     */
    public String[] getNewOutputs() {
        return newOutputs == null ? null : newOutputs.clone();
    }

    /**
     * Sets the new output synonyms.
     *
     * @param newOutputs The new output synonyms.
     */
    public void setNewOutputs(final String[] newOutputs) {
        this.newOutputs = newOutputs;
    }

    /**
     * Gets the original input words.

    public String getNewOutput() {
        return newOutput;
    }

    /**
     * Sets the new output character sequence for update operations.
     * Newline characters in the output are automatically replaced with spaces.
     *
     * @param newOutput the new output sequence to set
     */
    public void setNewOutput(final String newOutput) {
        this.newOutput = newOutput == null ? null : newOutput.replace("\n", " ");

  Tape tape(/*persistent=*/false);
  tape.Watch(inputs[0]);
  AbstractTensorHandle* neg_output;
  TF_RETURN_IF_ERROR(ops::Neg(ctx, inputs[0], &neg_output, "Neg"));
  tape.RecordOperation(inputs, {neg_output}, nullptr, "Neg");
  return tape.ComputeGradient(ctx,
                              /*targets=*/{neg_output},
                              /*sources=*/inputs,

        return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {
        final Map<String, Object> updateMap = new HashMap<>();
        updateMap.put("output", "new_output");
        return updateMap;
    }

    @Test
    void crudTest() {
        testCreate();
        testRead();
        testUpdate();
        testDelete();
    }

void TF_DeleteOutputList(TF_OutputList* o) { delete unwrap(o); }
void TF_OutputListSetNumOutputs(TF_OutputList* o, int num_outputs,
                                TF_Status* s) {
  unwrap(o)->expected_num_outputs = num_outputs;
  unwrap(o)->outputs.clear();
  unwrap(o)->outputs.resize(num_outputs);
}
int TF_OutputListNumOutputs(TF_OutputList* o) {
  return unwrap(o)->outputs.size();
}

        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(

        item.setNewOutput("newOutput");

        String str = item.toString();
        assertTrue(str.contains("id=1"));
        assertTrue(str.contains("inputs=[a, b]"));
        assertTrue(str.contains("output=output"));
        assertTrue(str.contains("newInputs=[x, y]"));
        assertTrue(str.contains("newOutput=newOutput"));
    }

    @Test

  }
  std::vector<TFE_TensorHandle*> op_outputs(*num_outputs);
  TFE_Execute(op, op_outputs.data(), num_outputs, s);
  TFE_DeleteOp(op);
  if (TF_GetCode(s) != TF_OK) return;
  std::vector<TFE_TensorHandle*> unwrapped_outputs;
  unwrapped_outputs.reserve(op_outputs.size());
  for (auto* handle : op_outputs) {
    unwrapped_outputs.push_back(handle);
  }
  for (int i = 0; i < *num_outputs; ++i) {