class_docstr: Stack StochasticBlock sequentially.
      
class_docstr_tok: ["Stack","StochasticBlock","sequentially","."]
code: def __init__(self, **kwargs):
      super(StochasticSequential, self).__init__(**kwargs)
      self._layers = []
  
file_path: mxnet/python/mxnet/gluon/probability/block/stochastic_block.py
imports: from functools import wraps
  from ...block import HybridBlock
  from ...utils import _indent
label_desc: Use image node_id 1 to create a new StochasticSequential object from inherited base classes: StochasticBlock with example: obj = StochasticSequential()