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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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4
examples/tutorial/new_api/glue_bert/finetune.py
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@@ -12,11 +12,11 @@ from tqdm import tqdm
from transformers import AutoConfig, BertForSequenceClassification, get_linear_schedule_with_warmup
import colossalai
from colossalai.accelerator import get_accelerator
from colossalai.booster import Booster
from colossalai.booster.plugin import GeminiPlugin, LowLevelZeroPlugin, TorchDDPPlugin
from colossalai.cluster import DistCoordinator
from colossalai.nn.optimizer import HybridAdam
from colossalai.utils import get_current_device
# ==============================
# Prepare Hyperparameters
@@ -45,7 +45,7 @@ def evaluate(
model.eval()
def evaluate_subset(dataloader: DataLoader):
accum_loss = torch.zeros(1, device=get_current_device())
accum_loss = torch.zeros(1, device=get_accelerator().get_current_device())
for batch in dataloader:
batch = move_to_cuda(batch)
outputs = model(**batch)