code: def apply_injective_concatenate(data: relay.Expr, axis=None):
      if axis is None:
          axis = get_random_axis(data)
      assert (
          relay.op.get("concatenate").get_attr("TOpPattern")
          == OpPattern.INJECTIVE
      )
      return relay.concatenate([data, data], axis)
  
imports: import itertools
  import random
  import tempfile
  from typing import Callable, Dict, List, Optional, Tuple, Union
  import numpy
  import pytest
  import tvm
  import tvm.testing
  from tvm import meta_schedule, relay
  from tvm.meta_schedule.schedule.cuda.layout_transform import cuda_layout_transform_schedule_rule
  from tvm.relay.op import OpPattern
  from tvm.script import ir
  from tvm.script import tir
  from tvm.tir.schedule import BlockRV
label_desc: Use image node_id 4 for calling a global function with example usage: apply_injective_concatenate(data, axis) and returns: relay