code: def __init__(
      self,
      out_dim,
      activation=None,
      initializer=lambda: tf.uniform_unit_scaling_initializer(
          factor=0.36
      ),
      **kwargs,
  ):
      super(LSTMLayer, self).__init__(**kwargs)
      self.out_dim = out_dim
      self.activation = activation
      self.initializer = initializer
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import tensorflow
  from tensorflow.python.util import nest
label_desc: Use image node_id 1 to create a new LSTMLayer object from inherited base classes: Layer with example: obj = LSTMLayer(out_dim, activation, initializer)