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fix scheduler steps with gradient accumulation

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Kohya S
2023-07-16 15:56:29 +09:00
parent 3db97f8897
commit 41d195715d
1 changed files with 1 additions and 1 deletions
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library/train_util.py
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@@ -3348,7 +3348,7 @@ def get_scheduler_fix(args, optimizer: Optimizer, num_processes: int):
"""
name = args.lr_scheduler
num_warmup_steps: Optional[int] = args.lr_warmup_steps
num_training_steps = args.max_train_steps * num_processes * args.gradient_accumulation_steps
num_training_steps = args.max_train_steps * num_processes # * args.gradient_accumulation_steps
num_cycles = args.lr_scheduler_num_cycles
power = args.lr_scheduler_power