class_docstr: PartitionedFunction will translate call to cached Function call
class_docstr_tok: ["PartitionedFunction","will","translate","call","to","cached","Function","call"]
code: def __init__(self, function, shape):
      self._function = function
      self._partitions = []
      self._length = None
      self._slice_suffix_start = [0 for _ in shape[1:]]
      self._slice_suffix_size = list(shape[1:])
  
imports: import tensorflow
label_desc: Use image node_id 1 to create a new _IOTensorIterablePartitionedFunction object  with example: obj = _IOTensorIterablePartitionedFunction(function, shape)