code: def test_stack_grad(executor_kind):
      args = [
          relay.var(c, shape=(2, 3, 4), dtype="float64") for c in "xyz"
      ]
      fwd_func = relay.Function(args, relay.stack(args, axis=0))
      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 9 for calling a global function with example usage: test_stack_grad(executor_kind) without return types