Source code for geometric_algebra_attention.keras.VectorAttention
from tensorflow import keras
from .. import base
from .internal import AttentionBase
[docs]
class VectorAttention(AttentionBase, base.VectorAttention, keras.layers.Layer):
__doc__ = base.VectorAttention.__doc__
def __init__(self, score_net, value_net, reduce=True,
merge_fun='mean', join_fun='mean', rank=2,
invariant_mode='single', covariant_mode='single',
include_normalized_products=False,
linear_mode='partial', linear_terms=0,
**kwargs):
keras.layers.Layer.__init__(self, **kwargs)
base.VectorAttention.__init__(
self, score_net, value_net, reduce, merge_fun, join_fun, rank,
invariant_mode, covariant_mode, include_normalized_products,
linear_mode, linear_terms,
)
keras.utils.get_custom_objects()['VectorAttention'] = VectorAttention