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fix to work bitsandbytes optimizers with full path #1640

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Kohya S
2024-09-26 21:37:31 +09:00
parent 4296e286b8
commit a94bc84dec
1 changed files with 9 additions and 2 deletions
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11
library/train_util.py
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@@ -3014,7 +3014,11 @@ def add_optimizer_arguments(parser: argparse.ArgumentParser):
"--optimizer_type", "--optimizer_type",
type=str, type=str,
default="", default="",
help="Optimizer to use / オプティマイザの種類: AdamW (default), AdamW8bit, PagedAdamW, PagedAdamW8bit, PagedAdamW32bit, Lion8bit, PagedLion8bit, Lion, AdEMAMix8bit, PagedAdEMAMix8bit, SGDNesterov, SGDNesterov8bit, DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam, DAdaptAdan, DAdaptAdanIP, DAdaptLion, DAdaptSGD, AdaFactor", help="Optimizer to use / オプティマイザの種類: AdamW (default), AdamW8bit, PagedAdamW, PagedAdamW8bit, PagedAdamW32bit, "
"Lion8bit, PagedLion8bit, Lion, SGDNesterov, SGDNesterov8bit, "
"DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam, DAdaptAdan, DAdaptAdanIP, DAdaptLion, DAdaptSGD, "
"AdaFactor. "
"Also, you can use any optimizer by specifying the full path to the class, like 'bitsandbytes.optim.AdEMAMix8bit' or 'bitsandbytes.optim.PagedAdEMAMix8bit'.",
) )
# backward compatibility # backward compatibility
@@ -4105,6 +4109,7 @@ def get_optimizer(args, trainable_params):
lr = args.learning_rate lr = args.learning_rate
optimizer = None optimizer = None
optimizer_class = None
if optimizer_type == "Lion".lower(): if optimizer_type == "Lion".lower():
try: try:
@@ -4162,7 +4167,8 @@ def get_optimizer(args, trainable_params):
"No PagedLion8bit. The version of bitsandbytes installed seems to be old. Please install 0.39.0 or later. / PagedLion8bitが定義されていません。インストールされているbitsandbytesのバージョンが古いようです。0.39.0以上をインストールしてください" "No PagedLion8bit. The version of bitsandbytes installed seems to be old. Please install 0.39.0 or later. / PagedLion8bitが定義されていません。インストールされているbitsandbytesのバージョンが古いようです。0.39.0以上をインストールしてください"
) )
optimizer = optimizer_class(trainable_params, lr=lr, **optimizer_kwargs) if optimizer_class is not None:
optimizer = optimizer_class(trainable_params, lr=lr, **optimizer_kwargs)
elif optimizer_type == "PagedAdamW".lower(): elif optimizer_type == "PagedAdamW".lower():
logger.info(f"use PagedAdamW optimizer | {optimizer_kwargs}") logger.info(f"use PagedAdamW optimizer | {optimizer_kwargs}")
@@ -4338,6 +4344,7 @@ def get_optimizer(args, trainable_params):
optimizer_class = getattr(optimizer_module, optimizer_type) optimizer_class = getattr(optimizer_module, optimizer_type)
optimizer = optimizer_class(trainable_params, lr=lr, **optimizer_kwargs) optimizer = optimizer_class(trainable_params, lr=lr, **optimizer_kwargs)
# for logging
optimizer_name = optimizer_class.__module__ + "." + optimizer_class.__name__ optimizer_name = optimizer_class.__module__ + "." + optimizer_class.__name__
optimizer_args = ",".join([f"{k}={v}" for k, v in optimizer_kwargs.items()]) optimizer_args = ",".join([f"{k}={v}" for k, v in optimizer_kwargs.items()])