code: def get_config(self):
      config = {"output_dim": (*self.input_shape[:2], self.out_dim)}
      base_config = super(LambdaLayer, self).get_config()
      return dict(list(base_config.items()) + list(config.items()))
  
file_path: lambda-networks/lambda_networks/tfkeras.py
imports: import tensorflow
  from einops.layers.tensorflow import Rearrange
  from tensorflow.keras.layers import Conv2D, BatchNormalization, Conv3D, ZeroPadding3D, Softmax, Lambda, Add, Layer
  from tensorflow.keras import initializers
  from tensorflow import einsum, nn, meshgrid
label_desc: Use image node_id 4 for calling the LambdaLayer obj's underlying member method code with example usage: obj.get_config() and returns: dict