class MultiHeadAttention(hk.MultiHeadAttention):
    """
    MultiHead Attention with masking application. Modified from the main implementation to
    support for key and value offsets.
    """

    def __init__(
        self,
        num_heads: int,
        key_size: int,
        value_size: Optional[int] = None,
        model_size: Optional[int] = None,
        name: Optional[str] = None,
    ):
        """
        Args:
            num_heads: Number of independent attention heads.
            key_size: Size of keys and queries used for attention.
            value_size: Optional size of the value projection. If not, it defaults
                To the size of the key.
            size_size: The optional size of the output embedding. If not, defaults to.
                key size multiplied by the number of heads.
            name: Optional name for this module.
        """
        w_init = hk.initializers.VarianceScaling(2.0, "fan_in", "uniform")
        super().__init__(
            num_heads=num_heads,
            key_size=key_size,
            w_init=w_init,
            value_size=value_size,
            model_size=model_size,
            name=name,
        )

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