Download GeometryForcing/algorithms/vae/common/losses/warmup.py from BonanDing/worldmem-baseline-evals: direct link, hf CLI and curl.
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- Download file 283 Bytes
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https://huggingface.co/BonanDing/worldmem-baseline-evals/resolve/main/GeometryForcing/algorithms/vae/common/losses/warmup.py
- Command line
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hf download hf://BonanDing/worldmem-baseline-evals/GeometryForcing/algorithms/vae/common/losses/warmup.py
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curl -L -o warmup.py https://huggingface.co/BonanDing/worldmem-baseline-evals/resolve/main/GeometryForcing/algorithms/vae/common/losses/warmup.py
283 Bytes
| from torch.optim import Optimizer | |
| def warmup(optimizer: Optimizer, lr: float, warmup_factor: float) -> Optimizer: | |
| """ | |
| Warmup optimizer learning rate. | |
| """ | |
| for param_group in optimizer.param_groups: | |
| param_group["lr"] = lr * warmup_factor | |
| return optimizer | |