namespace tensorflow {

REGISTER_OP("MyAddN")
    .Input("inputs: N * T")
    .Output("sum: T")
    .Attr("N: int >= 1")
    .Attr("T: {numbertype, variant}")
    .SetIsCommutative()
    .SetIsAggregate();

REGISTER_OP("MyBiasedDense")
    .Input("input: T")
    .Input("weight: T")
    .Input("bias: T")
    .Output("out: T")
    .Attr("T: {float, int8}")
    .Attr("act: {'', 'relu', 'relu6'} = ''");

namespace tensorflow {
namespace {

REGISTER_OP("MyAddN")
    .Input("inputs: N * T")
    .Output("sum: T")
    .Attr("N: int >= 1")
    .Attr("T: {numbertype, variant}")
    .SetIsCommutative()
    .SetIsAggregate()
    .SetShapeFn(shape_inference::UnchangedShape);

REGISTER_OP("RiscAddDummy")
    .Input("x: T")
    .Input("y: T")
    .Output("z: T")
    .Attr(

    reinterpret_cast<OpDefBuilder*>(builder)->func_name();                \
  }

DEFINE_BUILDER_BOOL_SETTER(SetIsCommutative)
DEFINE_BUILDER_BOOL_SETTER(SetIsAggregate)
DEFINE_BUILDER_BOOL_SETTER(SetIsStateful)
DEFINE_BUILDER_BOOL_SETTER(SetAllowsUninitializedInput)

void TF_OpDefinitionBuilderAddAttr(TF_OpDefinitionBuilder* builder,

REGISTER_OP("AddNLikeTest")
    .Input("inputs: N * T")
    .Output("sum: T")
    .Attr("N: int >= 1")
    .Attr("T: numbertype")
    .SetIsCommutative()
    .SetIsAggregate();

Node* Sequencer(const GraphDefBuilder::Options& opts,
                const string& call_node_name) {
  if (opts.HaveError()) return nullptr;
  NodeBuilder node_builder(opts.GetNameForOp("NoOp"), "NoOp",