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enable full bf16 trainint in train_network
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@@ -350,13 +350,19 @@ class NetworkTrainer:
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# lr schedulerを用意する
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lr_scheduler = train_util.get_scheduler_fix(args, optimizer, accelerator.num_processes)
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# 実験的機能:勾配も含めたfp16学習を行う モデル全体をfp16にする
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# 実験的機能:勾配も含めたfp16/bf16学習を行う モデル全体をfp16/bf16にする
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if args.full_fp16:
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assert (
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args.mixed_precision == "fp16"
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), "full_fp16 requires mixed precision='fp16' / full_fp16を使う場合はmixed_precision='fp16'を指定してください。"
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accelerator.print("enable full fp16 training.")
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network.to(weight_dtype)
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elif args.full_bf16:
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assert (
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args.mixed_precision == "bf16"
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), "full_bf16 requires mixed precision='bf16' / full_bf16を使う場合はmixed_precision='bf16'を指定してください。"
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accelerator.print("enable full bf16 training.")
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network.to(weight_dtype)
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unet.requires_grad_(False)
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unet.to(dtype=weight_dtype)
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