mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-12-11 06:55:27 +00:00
Merge branch 'scaled_adam_exp699' into scaled_adam_exp711
This commit is contained in:
commit
37a8c30136
@ -361,9 +361,9 @@ def _whitening_schedule(x: float, ratio: float = 2.0) -> ScheduledFloat:
|
||||
def _aux_grad_scale() -> float:
|
||||
return 0.2
|
||||
def _aux_grad_prob_out() -> ScheduledFloat:
|
||||
return ScheduledFloat((0.0, 0.25), (1000.0, 0.05), (8000.0, 0.0125))
|
||||
return 0.0 # ScheduledFloat((0.0, 0.25), (1000.0, 0.05), (8000.0, 0.0125))
|
||||
def _aux_grad_prob_in() -> ScheduledFloat:
|
||||
return ScheduledFloat((0.0, 0.25), (1000.0, 0.0))
|
||||
return 0.0 # ScheduledFloat((0.0, 0.25), (1000.0, 0.0))
|
||||
#return ScheduledFloat((0.0, 0.25), (1000.0, 0.05), (8000.0, 0.0125))
|
||||
|
||||
|
||||
@ -1356,7 +1356,9 @@ class AttentionSqueeze(nn.Module):
|
||||
aux_grad_scale=_aux_grad_scale(), prob=_aux_grad_prob_in())
|
||||
|
||||
self.to_bottleneck_proj = LinearWithAuxLoss(embed_dim,
|
||||
bottleneck_dim)
|
||||
bottleneck_dim,
|
||||
aux_grad_scale=_aux_grad_scale(),
|
||||
prob=_aux_grad_prob_in())
|
||||
|
||||
|
||||
# bottleneck_balancer is before the actiation. Mostly, for well-trained
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user