code: def __init__(self, hidden_dim, output_dim, **kwargs):
      super().__init__(**kwargs)
      self.hidden_dim = hidden_dim
      self.output_dim = output_dim
      self.dense1 = layers.Dense(hidden_dim, activation="relu")
      self.dense2 = layers.Dense(hidden_dim, activation="relu")
      self.dense3 = layers.Dense(output_dim)
  
file_path: keras/integration_tests/basic_full_flow.py
imports: import numpy
  import pytest
  import keras
  from keras import layers
  from keras import losses
  from keras import metrics
  from keras import optimizers
  from keras import testing
label_desc: Use image node_id 1 to create a new MyModel object from inherited base classes: keras with example: obj = MyModel(hidden_dim, output_dim)