code: def test_batch_flatten_grad(executor_kind):
      verify_batch_flatten_grad((1, 2, 3, 4), executor_kind)
      verify_batch_flatten_grad((1, 8), executor_kind)
  
imports: import numpy
  import pytest
  from tvm import topi
  import tvm.topi.testing
  import tvm
  from tvm import te
  from tvm import relay
  from tvm.relay.testing import check_grad, run_infer_type, run_opt_pass
  from tvm.relay.transform import gradient
  import tvm.testing
label_desc: Use image node_id 14 for calling a global function with example usage: test_batch_flatten_grad(executor_kind) without return types