code: def _shaped_arange(*shape):
      """Runs np.arange, converts to float and reshapes."""
      return np.arange(np.prod(shape), dtype=np.float32).reshape(*shape)
  
file_path: trfl/trfl/continuous_retrace_ops_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import six
  from six.moves import range
  import tensorflow.compat.v1
  from trfl import continuous_retrace_ops
label_desc: Use image node_id 1 for calling a global function with example usage: _shaped_arange() and returns: np