code: def common_weight_tensor(shape, dtype, numpy=False):
      tensor = mx.nd.random.normal(0, 0.1, shape, dtype)
      return tensor.as_np_ndarray() if numpy else tensor
  
file_path: mxnet/tests/python/dnnl/op_cfg.py
imports: from collections import namedtuple
  from itertools import product
  from functools import partial
  import mxnet
  from mxnet.base import _is_np_op, _NP_OP_PREFIX, _NP_EXT_OP_PREFIX, _NP_INTERNAL_OP_PREFIX, _OP_NAME_PREFIX_LIST
label_desc: Use image node_id 3 for calling a global function with example usage: common_weight_tensor(shape, dtype, numpy) and returns: unknown