}

    interface Params extends BuildServiceParameters {
        String getProp()

        void setProp(String value)
    }

    static abstract class ServiceImpl implements BuildService<Params> {
        static List<ServiceImpl> instances = []

        String getProp() {
            return getParameters().prop
        }

        static void reset() {

  // check values of `paddings` and `crops` to make sure it really stands for
  // a dilated conv.
  auto stb_paddings = stb_op.getPaddings();
  auto bts_crops = bts_op.getCrops();
  ElementsAttr stb_paddings_attr, bts_crops_attr;
  if (!matchPattern(stb_paddings, m_Constant(&stb_paddings_attr)) ||
      !matchPattern(bts_crops, m_Constant(&bts_crops_attr))) {
    return rewriter.notifyMatchFailure(

    }

    input_shape.assign(input_type.getShape().begin(),
                       input_type.getShape().end());
  }

  auto crops_type = mlir::cast<TensorType>(op.getCrops().getType());
  if (crops_type.hasRank()) {
    if (crops_type.getRank() != 2)
      return op.emitOpError()
             << "requires crops to be a 2D tensor, but got " << crops_type;

    auto input_shape = input_ty.getShape();

    DenseIntElementsAttr block_shape;
    DenseIntElementsAttr crops;
    if (!matchPattern(op.getBlockShape(), m_Constant(&block_shape)) ||
        !matchPattern(op.getCrops(), m_Constant(&crops))) {
      return failure();
    }

    auto block_shape_ty = block_shape.getType();
    if (!block_shape_ty.hasRank() || block_shape_ty.getRank() != 1) {
      return failure();

OS]});s.operator=s.operator?s.operator+m:m,f="operator",d=!1;break;case T.comment:if(f)if(d||b&&b[A.FIELDS.TYPE]===T.space||f==="insensitive"){var de=(0,Y.getProp)(s,"spaces",f,"after")||"",De=(0,Y.getProp)(s,"raws","spaces",f,"after")||de;(0,Y.ensureObject)(s,"raws","spaces",f),s.raws.spaces[f].after=De+m}else{var ee=s[f]||"",oe=(0,Y.getProp)(s,"raws",f)||ee;(0,Y.ensureObject)(s,"raws"),s.raws[f]=oe+m}else c=c+m;break;default:return this.error('Unexpected "'+m+'" found.',{index:p[A.FIELDS.START...