code: def _IotaInitializer(
      shape, dtype=dtypes.float32, partition_info=None
  ):
      assert dtype == dtypes.float32
      if len(shape) == 1:
          return range(shape[0])
      else:
          val = _IotaInitializer(shape[1:], dtype)
          return [[(10**i) * v for v in val] for i in range(shape[0])]
  
imports: import os
  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 cond
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 2 for calling a global function with example usage: _IotaInitializer(shape, dtype, partition_info) and returns: range, unknown