src/transformers/models/regnet/modeling_tf_regnet.py/TFRegNetEmbeddings/__init__
class TFRegNetEmbeddings:    def __init__(self, config: RegNetConfig, **kwargs):
        super().__init__(**kwargs)
        self.num_channels = config.num_channels
        self.embedder = TFRegNetConvLayer(
            out_channels=config.embedding_size,
            kernel_size=3,
            stride=2,
            activation=config.hidden_act,
            name="embedder",
        )