public String getNewOutput() {
        return newOutput;
    }

    public void setNewOutput(final String newOutputs) {
        newOutput = newOutputs;
    }

    public String getInput() {
        return input;
    }

    public String getOutput() {
        return output;
    }

    public boolean isUpdated() {
        return newInput != null && newOutput != null;
    }

    public boolean isDeleted() {

    public void setNewInputs(final String[] newInputs) {
        this.newInputs = newInputs;
    }

    public String getNewOutput() {
        return newOutput;
    }

    public void setNewOutput(final String newOutput) {
        this.newOutput = newOutput == null ? null : newOutput.replace("\n", " ");
    }

    public String[] getInputs() {
        return inputs;
    }

    public String getInputsValue() {

    public void setNewInputs(final String[] newInputs) {
        this.newInputs = newInputs;
    }

    public String[] getNewOutputs() {
        return newOutputs;
    }

    public void setNewOutputs(final String[] newOutputs) {
        this.newOutputs = newOutputs;
    }

    public String[] getInputs() {
        return inputs;
    }

    public String getInputsValue() {
        if (inputs == null) {

  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,