padding_value.push_back(CastI64ToI32(padding_high[i]).value());
    }

    TensorType output_type = op.getResult().getType().cast<TensorType>();
    Value constant_values = op.getPaddingValue();
    auto padding_attr = DenseIntElementsAttr::get(padding_type, padding_value);
    auto padding =
        rewriter.create<arith::ConstantOp>(op.getLoc(), padding_attr);

  auto new_pad_op = rewriter.create<TF::PadV2Op>(
      loc, pad_op.getType().clone(pad_output_shape), pad_op.getOperand(),
      padding_amount_const_op, pad_op.getPaddingValue());
  if (!has_negative_padding_amount) {
    return new_pad_op;
  }

  // Convert negative padding amount into slice.
  auto slice_attr_type = RankedTensorType::get(