class_docstr: A two-layer Feed-Forward-Network.
class_docstr_tok: ["A","two-layer","Feed-Forward-Network","."]
code: def __init__(self, d_model, dff, act_func, **kwargs):
      super().__init__(**kwargs)
      self.dense1 = tf.keras.layers.Dense(dff, activation=act_func)
      self.dense2 = tf.keras.layers.Dense(d_model)
  
file_path: delta/delta/layers/sub_tf.py
imports: from absl import logging
  import delta.compat
  import numpy
  from delta.layers.base_layer import Layer
  from delta.layers.utils_tf import shape_list
label_desc: Use image node_id 1 to create a new PositionwiseFeedForward object from inherited base classes: Layer with example: obj = PositionwiseFeedForward(d_model, dff, act_func)