class_docstr: Sequential application of multiple layers.
  
  Attributes:
    layers: A sequence of layers to apply in sequence.
class_docstr_tok: ["Sequential","application","of","multiple","layers",".","Attributes",":","layers",":","A","sequence","of","layers","to","apply","in","sequence","."]
code: def __call__(self, x):
      for layer in self.layers:
          x = layer(x)
      return x
  
imports: import collections
  import functools
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import joint_distribution_coroutine
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.internal import vectorization_util
label_desc: Use image node_id 1 for calling the SequentialLayer obj's underlying member method code with example usage: obj.__call__(x) and returns: x