code: def add_leading_unit_dimensions(
      x, num_dimensions
  ):  # pylint: disable=invalid-name
      new_shape = array_ops.concat(
          [
              array_ops.ones([num_dimensions], dtype=dtypes.int32),
              array_ops.shape(x),
          ],
          axis=0,
      )
      return array_ops.reshape(x, new_shape)
  
file_path: tensorflow/tensorflow/python/ops/random_grad.py
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.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 1 for calling a global function with example usage: add_leading_unit_dimensions(x, num_dimensions) and returns: array_ops