class_docstr: main model 
class_docstr_tok: ["main","model"]
code: def __init__(self, drop_rate):
      super().__init__()
      self.drop_rate = drop_rate
      self.fc1_dim = 786
      self.fc2_dim = 64
      self.fc3_dim = 2
  
      self.cnn = CNN(self.drop_rate)
      self.fc1 = Linear(self.fc1_dim, self.drop_rate)
      self.time_pool = TimePool()
      self.fc2 = LBD(self.fc2_dim, self.drop_rate)
      self.head = Head(self.fc3_dim)
  
imports: import numpy
  from absl import logging
  import delta.compat
  from tensorflow.python.keras import backend
  from delta.models.base_model import Model
  from delta.layers.base_layer import Layer
  from delta import utils
  from delta.utils.register import registers
label_desc: Use image node_id 1 to create a new EmoCRNNModel object from inherited base classes: Model with example: obj = EmoCRNNModel(drop_rate)