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Support for more Dadaptation (#455)

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* Update train_util.py for add DAdaptAdan and DAdaptSGD

* Update train_util.py for DAdaptadam

* Update train_network.py for dadapt

* Update train_README-ja.md for DAdapt

* Update train_util.py for DAdapt

* Update train_network.py for DAdaptAdaGrad

* Update train_db.py for DAdapt

* Update fine_tune.py for DAdapt

* Update train_textual_inversion.py for DAdapt

* Update train_textual_inversion_XTI.py for DAdapt
This commit is contained in:
青龍聖者@bdsqlsz
2023-05-06 16:30:09 +08:00
committed by GitHub
parent ad5f318d06
commit 164a1978de
7 changed files with 100 additions and 10 deletions
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train_textual_inversion.py
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@@ -465,7 +465,7 @@ def train(args):
current_loss = loss.detach().item()
if args.logging_dir is not None:
logs = {"loss": current_loss, "lr": float(lr_scheduler.get_last_lr()[0])}
if args.optimizer_type.lower() == "DAdaptation".lower(): # tracking d*lr value
if args.optimizer_type.lower() == "DAdaptation".lower() or args.optimizer_type.lower() == "DAdaptAdam".lower() or args.optimizer_type.lower() == "DAdaptAdaGrad".lower() or args.optimizer_type.lower() == "DAdaptAdan".lower() or args.optimizer_type.lower() == "DAdaptSGD".lower(): # tracking d*lr value
logs["lr/d*lr"] = (
lr_scheduler.optimizers[0].param_groups[0]["d"] * lr_scheduler.optimizers[0].param_groups[0]["lr"]
)