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Update optim.grad_scaler to use torch.amp #615

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Update optim.grad_scaler to use torch.amp #615

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13 changes: 11 additions & 2 deletions hivemind/optim/grad_scaler.py
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Expand Up @@ -4,8 +4,17 @@
from typing import Dict, Optional

import torch
from torch.cuda.amp import GradScaler as TorchGradScaler
from torch.cuda.amp.grad_scaler import OptState, _refresh_per_optimizer_state
from packaging import version

torch_version = torch.__version__.split("+")[0]

if version.parse(torch_version) >= version.parse("2.3.0"):
from torch.amp import GradScaler as TorchGradScaler
from torch.amp.grad_scaler import OptState, _refresh_per_optimizer_state
else:
from torch.cuda.amp import GradScaler as TorchGradScaler
from torch.cuda.amp.grad_scaler import OptState, _refresh_per_optimizer_state

from torch.optim import Optimizer as TorchOptimizer

import hivemind
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