print ema steps and resume v2 pretraining
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2 changed files with 4 additions and 2 deletions
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@ -10,6 +10,8 @@ def printit(p):
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sd = torch.load(p, map_location="cpu")
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sd = torch.load(p, map_location="cpu")
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if "global_step" in sd:
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if "global_step" in sd:
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print(f"This is global step {sd['global_step']}.")
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print(f"This is global step {sd['global_step']}.")
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if "model_ema.num_updates" in sd["state_dict"]:
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print(f"And we got {sd['state_dict']['model_ema.num_updates']} EMA updates.")
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if __name__ == "__main__":
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if __name__ == "__main__":
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@ -24,8 +24,8 @@ cd /fsx/stable-diffusion/stable-diffusion
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CONFIG=configs/stable-diffusion/v2_pretraining.yaml
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CONFIG=configs/stable-diffusion/v2_pretraining.yaml
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# resume and set new seed to reshuffle data
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# resume and set new seed to reshuffle data
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EXTRA="--seed 542 model.params.ckpt_path=/fsx/stable-diffusion/stable-diffusion/checkpoints/v2-256/216k-256.ckpt"
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#EXTRA="--seed 542 model.params.ckpt_path=/fsx/stable-diffusion/stable-diffusion/checkpoints/v2-256/216k-256.ckpt"
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#EXTRA="--seed 543 --resume_from_checkpoint ..."
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EXTRA="--seed 543 --resume_from_checkpoint /fsx/stable-diffusion/stable-diffusion/logs/2022-07-31T23-35-31_v2_pretraining/checkpoints/last.ckpt"
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# reduce lr a bit
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# reduce lr a bit
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#EXTRA="${EXTRA} model.params.scheduler_config.params.f_max=[0.75]"
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#EXTRA="${EXTRA} model.params.scheduler_config.params.f_max=[0.75]"
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