from local

This commit is contained in:
dohe0342 2023-01-07 00:30:09 +09:00
parent ca7ff99eb7
commit bb2d62ca85
2 changed files with 12 additions and 2 deletions

View File

@ -135,7 +135,7 @@ class Conformer(EncoderInterface):
)
self._init_state: List[torch.Tensor] = [torch.empty(0)]
self.alpha = nn.Parameter(torch.rand(6))
self.alpha = nn.Parameter(torch.rand(12))
self.sigmoid = nn.Sigmoid()
self.layer_norm = nn.LayerNorm(512)
@ -205,11 +205,21 @@ class Conformer(EncoderInterface):
layer_output = [x.permute(1, 0, 2) for x in layer_output]
x = self.layer_norm(1/3*(self.sigmoid(self.alpha[0])*layer_output[3] + \
'''
x = self.layer_norm(1/12*(self.sigmoid(self.alpha[0])*layer_output[3] + \
self.sigmoid(self.alpha[1])*layer_output[7] + \
self.sigmoid(self.alpha[1])*layer_output[7] + \
self.sigmoid(self.alpha[1])*layer_output[7] + \
self.sigmoid(self.alpha[1])*layer_output[7] + \
self.sigmoid(self.alpha[2])*layer_output[11]
)
)
'''
x = 0
for enum, alpha in enumerate(self.alpha):
x += self.sigmoid(alpha)*layer_output[self.group_size*(enum+1)]
x = self.layer_norm((1/self.group_size)*x)
return x, lengths