// operand if necessary.
    DenseFPElementsAttr cst;
    if (!matchPattern(binary_op->getOperand(1), m_Constant(&cst)))
      return failure();
    if (cst.getNumElements() != 1) return failure();
    APFloat cst_value = *cst.value_begin<APFloat>();

    // Affine op.
    Value filter = fc_op.getFilter();
    Value bias = fc_op.getBias();
    DenseFPElementsAttr filter_cst, bias_cst;

                                         &data_format)) {
      return rewriter.notifyMatchFailure(
          div_op, "not the root of spatial pooling without dilation");
    }

    DenseFPElementsAttr divisor;
    auto div_rhs = recursivelyWalkUp<mhlo::BroadcastInDimOp>(div_op.getRhs());
    if (matchPattern(div_rhs, m_Constant(&divisor))) {

  auto layer_stats =
      mlir::cast<mlir::DenseFPElementsAttr>(stats_op.getLayerStats());
  std::optional<mlir::ElementsAttr> axis_stats = stats_op.getAxisStats();
  std::optional<uint64_t> axis = stats_op.getAxis();
  std::vector<float> mins, maxs;
  mlir::DenseFPElementsAttr min_max_attr =
      axis_stats.has_value()
          ? mlir::cast<mlir::DenseFPElementsAttr>(axis_stats.value())
          : layer_stats;

//===----------------------------------------------------------------------===//

OpFoldResult PowOp::fold(FoldAdaptor adaptor) {
  auto operands = adaptor.getOperands();
  auto constant_y = operands[1].dyn_cast_or_null<DenseFPElementsAttr>();
  if (constant_y && constant_y.isSplat()) {
    APFloat y_value = constant_y.getSplatValue<APFloat>();
    auto output_type = getType().cast<ShapedType>();
    if (y_value.isZero() && output_type.hasStaticShape()) {