const_def.set_name(
              graph->NewName(absl::StrCat("var_shape_", var_node->name())));
          DataType dtype = n->output_type(0);
          AddNodeAttr("dtype", dtype, &const_def);
          TensorProto value;
          value.set_dtype(dtype);
          value.mutable_tensor_shape()->add_dim()->set_size(
              shape_proto.dim_size());
          for (const auto& dim : shape_proto.dim()) {

  let summary = "The tf_mlrt ConstOp";

  let description = [{
    The ConstOp creates a constant tensorflow::Tensor from serialized proto.
  }];

  let arguments = (ins
    StrAttr:$tensor_proto
  );

  let results = (outs
    TFTensorType:$result
  );

  let assemblyFormat = "attr-dict";
}

def ExecuteOp : TensorflowMlrt_Op<"executeop", []> {
  let summary = "The Fallback ExecuteOp";

}

func.func @const() -> tensor<2xi32> {