src/transformers/models/hubert/modeling_tf_hubert.py/TFHubertWeightNormConv1D/__init__
class TFHubertWeightNormConv1D:    def __init__(self, filters, kernel_size, groups, explicit_padding, **kwargs):
        super().__init__(
            filters=filters,
            kernel_size=kernel_size,
            groups=groups,
            padding="valid",
            use_bias=True,
            bias_initializer="he_normal",
            **kwargs,
        )
        self.explicit_padding = explicit_padding
        self.filter_axis = 2
        self.initialized = False
        self.kernel_norm_axes = tf.constant([0, 1])