class_docstr: Fallback to NumPy empty_like operator.
class_docstr_tok: ["Fallback","to","NumPy","empty_like","operator","."]
code: def backward(self, req, out_grad, in_data, out_data, in_grad, aux):
      raise NotImplementedError(
          "Operator empty_like does not support gradient computation"
      )
  
imports: from distutils.version import StrictVersion
  import functools
  import ast
  import numpy
  from .None import operator
  from .None import numpy
  from .util import np_array, use_np
  from .numpy.utils import _STR_2_DTYPE_
  from .ndarray.numpy import _internal
  from .symbol.numpy import _internal
label_desc: Use image node_id 3 for calling the EmptyLike obj's underlying member method code with example usage: obj.backward(req, out_grad, in_data, out_data, in_grad, aux) without return types