#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_executor.cc.inc"
      >();

  addInterfaces<TensorFlowExecutorInlinerInterface,
                TensorFlowExecutorDialectFoldInterface>();

  addTypes<ControlType, TokenType>();
}

Type TensorFlowExecutorDialect::parseType(DialectAsmParser &parser) const {
  StringRef data_type;
  if (parser.parseKeyword(&data_type)) return Type();

    llvm::SmallVector<mlir::Type, 4> output_tys;
    for (int i = 0; i < custom_op.getNumResults(); i++) {
      output_tys.push_back(custom_op.getType(i));
    }
    op_state.addTypes(output_tys);
    op_state.addAttributes(attr);
    auto stablehlo_op = builder.create(op_state);
    custom_op.replaceAllUsesWith(stablehlo_op);
    custom_op.erase();
  });
}

    const std::string tf_op_full_name = llvm::Twine("tf.", tf_op_name).str();

    // Create the TF op
    OperationState op_state(op.getLoc(), tf_op_full_name);
    op_state.addOperands(op.getOperands());
    op_state.addTypes(op.getResultTypes());

    SmallVector<NamedAttribute, 2> attrs;
    std::string parsed_op_name;
    tensorflow::NodeDef node_def;
    if (failed(ParseCustomOption(op.getCustomOption().getValue(), op.getLoc(),

    ) {
        List<TypeSpec> interceptorTypeSpecs = generateInterceptorClasses(requestsClassGroup, onFailure);

        return builder -> builder
            .addModifiers(Modifier.PUBLIC)
            .addTypes(interceptorTypeSpecs);
    }

    @SuppressWarnings("ReturnValueIgnored")

  DCHECK_GE(num_regions, 1);
  for (int i = 0; i < num_regions; ++i) {
    Region* region = state.addRegion();
    region->push_back(new Block);
  }
  state.addTypes(output_types);
}

Block& ParallelExecuteOp::GetRegionBlockWithIndex(unsigned index) {
  return getOperation()->getRegion(index).front();
}

Operation::result_range ParallelExecuteOp::GetRegionOutputs(

    bool WrapsSingleOp();
  }];

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

  let hasCanonicalizer = 1;
}

def TfDevice_ReturnOp : TfDevice_Op<"return", [Pure, ReturnLike, Terminator]> {
  let summary = [{

    auto& new_control_inputs_for_item = it->second;
    builder.setInsertionPoint(&item);
    OperationState state(item.getLoc(), item.getName());
    types.assign(item.result_type_begin(), item.result_type_end());
    state.addTypes(types);
    for (Region& region : item.getRegions()) {
      state.addRegion()->takeBody(region);
    }
    // Assign existing operands for item.
    operands.assign(item.operand_begin(), item.operand_end());

  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)
  }];
}

def TFR_ConstantTensorOp : TFR_Op<"constant_tensor", [Pure]> {

		}
		if _, ok := dat[suffix]; ok {
			// Already handled.
			continue
		}

		b, err := sectionData(s)
		if err != nil {
			return nil, err
		}

		if suffix == "types" {
			err = d.AddTypes(fmt.Sprintf("types-%d", i), b)
		} else {
			err = d.AddSection(".debug_"+suffix, b)
		}
		if err != nil {
			return nil, err
		}
	}

	return d, nil
}

		}
		if _, ok := dat[suffix]; ok {
			// Already handled.
			continue
		}

		b, err := sectionData(s)
		if err != nil {
			return nil, err
		}

		if suffix == "types" {
			err = d.AddTypes(fmt.Sprintf("types-%d", i), b)
		} else {
			err = d.AddSection(".debug_"+suffix, b)
		}
		if err != nil {
			return nil, err
		}
	}

	return d, nil
}