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[npu] change device to accelerator api (#5239)

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* update accelerator

* fix timer

* fix amp

* update

* fix

* update bug

* add error raise

* fix autocast

* fix set device

* remove doc accelerator

* update doc

* update doc

* update doc

* use nullcontext

* update cpu

* update null context

* change time limit for example

* udpate

* update

* update

* update

* [npu] polish accelerator code

---------

Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>
This commit is contained in:
Hongxin Liu
2024-01-09 10:20:05 +08:00
committed by GitHub
parent dd2c28a323
commit d202cc28c0
128 changed files with 1773 additions and 868 deletions
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6
examples/images/resnet/train.py
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@@ -13,12 +13,12 @@ from torch.utils.data import DataLoader
from tqdm import tqdm
import colossalai
from colossalai.accelerator import get_accelerator
from colossalai.booster import Booster
from colossalai.booster.plugin import GeminiPlugin, LowLevelZeroPlugin, TorchDDPPlugin
from colossalai.booster.plugin.dp_plugin_base import DPPluginBase
from colossalai.cluster import DistCoordinator
from colossalai.nn.optimizer import HybridAdam
from colossalai.utils import get_current_device
# ==============================
# Prepare Hyperparameters
@@ -53,8 +53,8 @@ def build_dataloader(batch_size: int, coordinator: DistCoordinator, plugin: DPPl
@torch.no_grad()
def evaluate(model: nn.Module, test_dataloader: DataLoader, coordinator: DistCoordinator) -> float:
model.eval()
correct = torch.zeros(1, dtype=torch.int64, device=get_current_device())
total = torch.zeros(1, dtype=torch.int64, device=get_current_device())
correct = torch.zeros(1, dtype=torch.int64, device=get_accelerator().get_current_device())
total = torch.zeros(1, dtype=torch.int64, device=get_accelerator().get_current_device())
for images, labels in test_dataloader:
images = images.cuda()
labels = labels.cuda()