docstr: Use numpy primitives to implement unstack equivalent.
docstr_tok: ["Use","numpy","primitives","to","implement","unstack","equivalent","."]
code: def unstackReference(self, data, axis):
      """Use numpy primitives to implement unstack equivalent."""
      result = []
      rank = len(data.shape)
      axis = axis + rank if axis < 0 else axis
      for k in range(data.shape[axis]):
          axis = rank + axis if axis < 0 else axis
          # Slice in axis dimension of k'th slice.
          # e.g. if rank=4 k=2, axis=2 then equivalent of data[:,:,2,:]
          # Give error with loop context
          slice_spec = tuple(
              slice(None) if i != axis else k for i in range(rank)
          )
          result.append(data.__getitem__(slice_spec))
      return result
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the UnstackOpTest obj's underlying member method code with example usage: obj.unstackReference(data, axis) and returns: result