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Fix

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This commit is contained in:
James Betker 2022-02-15 06:58:11 -07:00
parent dd585df772
commit 29e07913a8
1 changed files with 3 additions and 2 deletions
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5
codes/trainer/steps.py
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@ -139,9 +139,9 @@ class ConfigurableStep(Module):
betas=(opt_get(opt_config, ['beta1'], .9), opt_get(opt_config, ['beta2'], .999)))
opt_unweighted._config = opt_config
opt_unweighted._config['network'] = net_name
self.optimizers.append(opt_unweighted)
# Not setting these means abnormal gradient detection below no longer works.
opt_unweighted._group_names = []
self.optimizers.append(opt_unweighted)
opt = ZeroRedundancyOptimizer(params_weights, optimizer_class=torch.optim.AdamW, lr=opt_config['lr'],
weight_decay=opt_get(opt_config, ['weight_decay'], 1e-2),
betas=(opt_get(opt_config, ['beta1'], .9), opt_get(opt_config, ['beta2'], .999)))
@ -160,6 +160,7 @@ class ConfigurableStep(Module):
betas=(opt_get(opt_config, ['beta1'], .9), opt_get(opt_config, ['beta2'], .999)))
opt_unweighted._config = opt_config
opt_unweighted._config['network'] = net_name
opt_unweighted._group_names = []
self.optimizers.append(opt_unweighted)
opt = Lamb(params_weights, lr=opt_config['lr'],