Select the DeepSpeedCPUOptimizer based on the original optimizer class. #3255
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Thanks for this update. Just wondering aloud: If the optimizer is neither Adam, nor Adagrad, nor Lion, what would be the right thing to do? As is, Adam is used, is that correct? |
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@BenjaminBossan By default, I have kept the Adam as it was for everyone torch optimizer. |
muellerzr
reviewed
Nov 25, 2024
src/accelerate/accelerator.py
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| # For DeepSpeedCPUAdagrad | ||
| if compare_versions("deepspeed", ">=", "0.5.5"): | ||
| # Check if the optimizer is PyTorch's Adagrad. | ||
| is_ada = isinstance(optimizer, torch.optim.Adagrad) | ||
| # If not, and bitsandbytes is available, | ||
| # # check if the optimizer is the 32-bit bitsandbytes Adagrad. | ||
| if is_bnb_available() and not is_ada: | ||
| import bitsandbytes.optim as bnb_opt | ||
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| is_ada = ( | ||
| isinstance(optimizer, (bnb_opt.Adagrad, bnb_opt.Adagrad32bit)) | ||
| and optimizer.optim_bits == 32 | ||
| ) | ||
| if is_ada: | ||
| from deepspeed.ops.adagrad import DeepSpeedCPUAdagrad | ||
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| optimizer_class = DeepSpeedCPUAdagrad | ||
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| # For DeepSpeedCPULion | ||
| if is_bnb_available(min_version="0.38.0") and compare_versions("deepspeed", ">=", "0.11.0"): | ||
| from bitsandbytes.optim import Lion, Lion32bit | ||
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| if isinstance(optimizer, (Lion, Lion32bit)) and optimizer.optim_bits == 32: | ||
| from deepspeed.ops.lion import DeepSpeedCPULion | ||
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| optimizer_class = DeepSpeedCPULion | ||
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| optimizer = optimizer_class(optimizer.param_groups, **defaults) |
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This seems a bit bulky for the Accelerator, can we abstract this out to a deepspeed util of map_pytorch_optim_to_deepspeed?
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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@muellerzr What do you think of it like this? |
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What does this PR do?
For DeepSpeed optimizer offloading, select the appropriate optimizer based on the original optimizer class.
Who can review?