RankedTensorType::get({static_cast<int64_t>(array_attr.size())},
                            rewriter.getIntegerType(64)),
      array);
}

template <typename UniformQuantizedConvolutionOp>
FailureOr<ElementsAttr> ConvertPaddingAttr(
    UniformQuantizedConvolutionOp op,
    const xla::ConvolutionDimensionNumbers &dnums, PatternRewriter &rewriter) {
  StringAttr conv_padding = op.getPaddingAttr();
  SmallVector<int64_t> padding_nums;

}

//===----------------------------------------------------------------------===//
// UniformQuantizedConvolutionOp
//===----------------------------------------------------------------------===//
//

LogicalResult UniformQuantizedConvolutionOp::verify() {
  return VerifyLhsRhsBothUniformQuantizedOp(*this);
}