code: def __init__(self, config, **kwargs):
      super().__init__(**kwargs)
      self.config = config
      self.embedder = TFRegNetEmbeddings(config, name="embedder")
      self.encoder = TFRegNetEncoder(config, name="encoder")
      self.pooler = tf.keras.layers.GlobalAveragePooling2D(
          keepdims=True, name="pooler"
      )
  
imports: from typing import Optional, Tuple, Union
  import tensorflow
  from ...activations_tf import ACT2FN
  from ...file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward
  from ...modeling_tf_outputs import TFBaseModelOutputWithNoAttention, TFBaseModelOutputWithPoolingAndNoAttention, TFSequenceClassifierOutput
  from ...modeling_tf_utils import TFPreTrainedModel, TFSequenceClassificationLoss, keras_serializable, unpack_inputs
  from ...tf_utils import shape_list
  from ...utils import logging
  from .configuration_regnet import RegNetConfig
label_desc: Use image node_id 1 to create a new TFRegNetMainLayer object from inherited base classes: tf.keras.layers with example: obj = TFRegNetMainLayer(config)