Block &GetBody() { return getOperation()->getRegion(0).front(); }
    bool WrapsSingleOp();
  }];

  let builders = [
    OpBuilder<(ins "StringAttr":$device, "TypeRange":$result_types),
    [{
      $_state.addAttribute("device", device);
      $_state.addTypes(result_types);
      $_state.addRegion();
    }]>
  ];

  let hasCanonicalizer = 1;
}

      "SparsityParameterAttr":$s_param, "Attribute":$compressed_data),
    [{
      $_state.addTypes(qtype.getValue());
      $_state.addAttribute("qtype", qtype);
      $_state.addAttribute("value", value);
      $_state.addAttribute("s_param", s_param);
      $_state.addAttribute("compressed_data", compressed_data);
    }]>
  ];
}

def TFL_QuantizeOp: TFL_Op<"quantize", [
    FirstAttrDerivedResultType,

        if (trimSpaceEnabled) {
            final Matcher matcher = SPACE_PATTERN.matcher(value);
            return matcher.replaceAll(" ").trim();
        }
        return value;
    }

    public void addAttribute(final String name, final Object value) {
        attributeMap.put(name, value);
    }

    public void addFeature(final String key, final String value) {
        featureMap.put(key, value);
    }

                            result.attributes))
    return failure();

  Type i64 = parser.getBuilder().getIntegerType(64);
  if (parser.parseOptionalKeyword("parallel_iterations")) {
    result.addAttribute("parallel_iterations",
                        IntegerAttr::get(i64, kDefaultParallelIterations));
  } else {
    IntegerAttr parallel_iterations;

  let results = (outs TFR_AttrType:$out);

  let hasFolder = 1;

  let builders = [
    OpBuilder<(ins "Attribute":$value),
    [{
      auto* ctx = value.getContext();
      $_state.addAttribute("value", value);
      $_state.addTypes(TFRAttrType::get(ctx));
    }]>
  ];

  let assemblyFormat = [{
    $value attr-dict `->` type($out)
  }];
}

PrettyPrintXMLWriter(java.io.Writer, String, String); public void startElement(String); public void writeText(String); public void writeMarkup(String); private void writeText(String, boolean); private static String escapeXml(String); public void addAttribute(String, String); public void endElement(); private void write(String); private void finishTag(); protected void endOfLine(); private void writeDocumentHeaders(); } org/codehaus/plexus/util/xml/pull/MXParser.class package org.codehaus.plexus.util.xml.pull;...

        Type output_type;
        TF_RETURN_IF_ERROR(AddRef(type, &output_type));
        type = output_type;
      }
    }
  }
  for (auto& it : attrs_) state_->addAttribute(it.first(), it.second);
  *state = state_.get();
  return absl::OkStatus();
}

const string& MlirAbstractOp::Name() const { return tf_op_type_; }

    mlir::SymbolRefAttr val =
        mlir::SymbolRefAttr::get(builder_.getContext(), node_type_name);
    result.addAttribute("f", val);

    if (!result.attributes.get("_disable_call_shape_inference")) {
      result.addAttribute("_disable_call_shape_inference",
                          builder_.getBoolAttr(false));
    }
  }

                    Attribute value) {
  // Handle the case where the type and value are already tensors.
  if (mlir::isa<TensorType>(type) && mlir::isa<ElementsAttr>(value)) {
    result.addTypes(type);
    result.addAttribute("value", value);
    return;
  }

  // Otherwise, default to the attribute builder.
  ConstOp::build(builder, result, value);
  assert(type == result.types[0] && "type mismatch in construction");
}