src/transformers/models/wav2vec2/modeling_tf_wav2vec2.py/TFWav2Vec2WeightNormConv1D/call
class TFWav2Vec2WeightNormConv1D:    def call(self, inputs):
        if not self.initialized:
            self._init_norm()
            self.initialized = True

        self._normalize_kernel()

        padded_inputs = tf.pad(inputs, ((0, 0), (self.explicit_padding, self.explicit_padding), (0, 0)))
        output = super().call(padded_inputs)

        return output