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Merge branch 'dev' into sd3
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@@ -3312,7 +3312,11 @@ def add_optimizer_arguments(parser: argparse.ArgumentParser):
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"--optimizer_type",
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type=str,
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default="",
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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",
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help="Optimizer to use / オプティマイザの種類: AdamW (default), AdamW8bit, PagedAdamW, PagedAdamW8bit, PagedAdamW32bit, "
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"Lion8bit, PagedLion8bit, Lion, SGDNesterov, SGDNesterov8bit, "
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"DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam, DAdaptAdan, DAdaptAdanIP, DAdaptLion, DAdaptSGD, "
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"AdaFactor. "
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"Also, you can use any optimizer by specifying the full path to the class, like 'bitsandbytes.optim.AdEMAMix8bit' or 'bitsandbytes.optim.PagedAdEMAMix8bit'.",
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)
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# backward compatibility
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@@ -4364,7 +4368,7 @@ def resume_from_local_or_hf_if_specified(accelerator, args):
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def get_optimizer(args, trainable_params):
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# "Optimizer to use: AdamW, AdamW8bit, Lion, SGDNesterov, SGDNesterov8bit, PagedAdamW, PagedAdamW8bit, PagedAdamW32bit, Lion8bit, PagedLion8bit, DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam, DAdaptAdan, DAdaptAdanIP, DAdaptLion, DAdaptSGD, Adafactor"
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# "Optimizer to use: AdamW, AdamW8bit, Lion, SGDNesterov, SGDNesterov8bit, PagedAdamW, PagedAdamW8bit, PagedAdamW32bit, Lion8bit, PagedLion8bit, AdEMAMix8bit, PagedAdEMAMix8bit, DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam, DAdaptAdan, DAdaptAdanIP, DAdaptLion, DAdaptSGD, Adafactor"
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optimizer_type = args.optimizer_type
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if args.use_8bit_adam:
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@@ -4417,6 +4421,7 @@ def get_optimizer(args, trainable_params):
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lr = args.learning_rate
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optimizer = None
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optimizer_class = None
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if optimizer_type == "Lion".lower():
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try:
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@@ -4474,7 +4479,8 @@ def get_optimizer(args, trainable_params):
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"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"
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)
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optimizer = optimizer_class(trainable_params, lr=lr, **optimizer_kwargs)
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if optimizer_class is not None:
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optimizer = optimizer_class(trainable_params, lr=lr, **optimizer_kwargs)
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elif optimizer_type == "PagedAdamW".lower():
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logger.info(f"use PagedAdamW optimizer | {optimizer_kwargs}")
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@@ -4749,6 +4755,7 @@ def get_optimizer(args, trainable_params):
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logger.info(f"wrap optimizer with ScheduleFreeWrapper | {schedulefree_wrapper_kwargs}")
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"""
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# for logging
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optimizer_name = optimizer_class.__module__ + "." + optimizer_class.__name__
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optimizer_args = ",".join([f"{k}={v}" for k, v in optimizer_kwargs.items()])
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