code: def verify_batch_matmul(
      executor_kind,
      x_shape,
      y_shape,
      out_shape,
      dtype="float32",
      trans_x=False,
      trans_y=True,
  ):
      x = relay.var("x", relay.TensorType(x_shape, dtype))
      y = relay.var("y", relay.TensorType(y_shape, dtype))
      x_np = np.random.uniform(size=x_shape).astype(dtype)
      y_np = np.random.uniform(size=y_shape).astype(dtype)
      verify_batch_matmul_with_inputs(
          executor_kind,
          x,
          y,
          x_np,
          y_np,
          out_shape,
          dtype,
          trans_x,
          trans_y,
      )
  
imports: import sys
  import pytest
  import numpy
  import tvm
  import tvm.testing
  import tvm.topi.testing
  from tvm import relay, te, topi
  from tvm.relay import transform
  from tvm.relay.testing import run_infer_type
label_desc: Use image node_id 16 for calling a global function with example usage: verify_batch_matmul(executor_kind, x_shape, y_shape, out_shape, dtype, trans_x, trans_y) without return types