mirrors/icefall
1
0
Fork 0
mirror of https://github.com/k2-fsa/icefall.git synced 2025-09-12 10:34:19 +00:00
Code Issues Packages Projects Releases Wiki Activity

Change power to 0.66

Browse Source
This commit is contained in:
Daniel Povey 2022-05-27 16:39:54 +08:00
parent 61e7929c60
commit 89fad8cc5a
1 changed files with 10 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
egs/librispeech/ASR/pruned_transducer_stateless4/optim.py
View File

@ -548,6 +548,7 @@ class Cain(Optimizer):
lr = group["lr"]
target_rms = group["target_rms"]
rms_eps = group["rms_eps"]
eps = group["eps"]
rms_max = group["rms_max"]
for p in group["params"]:
@ -603,7 +604,7 @@ class Cain(Optimizer):
# anything here. May fix this at some point.
scale_bias_correction2 = 1 - beta2 ** (step + 1)
scale_denom = (scale_exp_avg_sq.sqrt()).add_(group["eps"])
scale_denom = (scale_exp_avg_sq.sqrt()).add_(eps)
scale_alpha = -lr * (scale_bias_correction2 ** 0.5) * (1-beta1)
@ -634,13 +635,18 @@ class Cain(Optimizer):
# Decay the second moment running average coefficient
exp_avg_sq.mul_(beta2).addcmul_(grad, grad, value=1 - beta2)
denom = (exp_avg_sq.sqrt()).add_(group["eps"])
denom = (exp_avg_sq.sqrt()).add_(eps)
this_delta_ref = grad / denom
this_delta = grad / (denom ** 1.5)
renorm_scale = ((this_delta_ref**2).mean() / ((this_delta**2).mean() + eps)) ** 0.5
this_delta = grad / denom
this_delta = self._change_coordinates(this_delta, state, forward=False)
alpha = -lr*(1-beta1)*(bias_correction2 ** 0.5)
alpha = -lr*(1-beta1)*(bias_correction2 ** 0.5) * renorm_scale
if p.numel() > 1:
if step % 10 == 0:
state["param_rms"].fill_((p**2).mean().sqrt())