code: def test_reshape_like_grad(executor_kind):
      data = relay.var("data", shape=(2, 3, 4), dtype="float32")
      shape_like = relay.var(
          "shape_like", shape=(6, 2, 2), dtype="float32"
      )
      fwd_func = relay.Function(
          [data, shape_like], relay.reshape_like(data, shape_like)
      )
      check_grad(fwd_func, executor_kind=executor_kind)
  
imports: import numpy
  import pytest
  import tvm
  from tvm import te
  from tvm import relay
  from tvm.relay.testing import check_grad, run_infer_type, run_opt_pass, _np_randn_from_type
  from tvm.relay.transform import gradient
  import tvm.testing
label_desc: Use image node_id 13 for calling a global function with example usage: test_reshape_like_grad(executor_kind) without return types