return rewriter.notifyMatchFailure(conv_op, "requires static shape");
  mhlo::ConvDimensionNumbersAttr dnums = conv_op.getDimensionNumbers();

  auto lhs_dilation = conv_op.getLhsDilation().value();
  if (lhs_dilation.isSplat() && lhs_dilation.getSplatValue<int64_t>() == 1)
    return rewriter.notifyMatchFailure(conv_op,

      return rewriter.notifyMatchFailure(
          loc, "No Reshape->BroadcastTo->Reshape pattern found");
    }

    // Pattern is applied only if the broadcast_to shape has more than 5
    // dimensions.
    if (mlir::cast<ShapedType>(tfl_broadcast_to_op.getShape().getType())
            .getNumElements() < 6) {
      return rewriter.notifyMatchFailure(loc,

// to be compatible.
template <typename Ty>
static LogicalResult flipComatibleShapeError(Ty op, PatternRewriter& rewriter) {
  if (op.getIncompatibleShapeError()) {
    return rewriter.notifyMatchFailure(op, "the attribute is already true");
  }

  // incompatible_shape_error=false implies that the op will either return a
  // valid result or a scalar boolean indicating the error. For unranked outputs