code: def default_tensor(dim_or_shape, dtype):
      if isinstance(dim_or_shape, (tuple, list)):
          shape = dim_or_shape
          return mx.nd.random.normal(0, 1, shape, dtype)
      dim = dim_or_shape
      return mx.nd.random.normal(0, 1, DEFAULT_SHAPE * dim, dtype)
  
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 2 for calling a global function with example usage: default_tensor(dim_or_shape, dtype) and returns: mx, mx