code: def test_cast_like_grad(executor_kind):
      data = relay.var("data", shape=(10, 4), dtype="float32")
      like = relay.var("like", shape=(1,), dtype="float64")
      fwd_func = relay.Function(
          [data, like], relay.cast_like(data, 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 6 for calling a global function with example usage: test_cast_like_grad(executor_kind) without return types