src/transformers/models/mobilevit/modeling_tf_mobilevit.py/TFMobileViTConvLayer/call
class TFMobileViTConvLayer:    def call(self, features: tf.Tensor, training: bool = False) -> tf.Tensor:
        padded_features = self.padding(features)
        features = self.convolution(padded_features)
        if self.normalization is not None:
            features = self.normalization(features, training=training)
        if self.activation is not None:
            features = self.activation(features)
        return features