github/ColossalAI
1
0
Fork 0
mirror of https://github.com/hpcaitech/ColossalAI.git synced 2025-09-15 22:19:38 +00:00
Code Issues Packages Projects Releases Wiki Activity

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

Browse Source 
* 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
Download Patch File Download Diff File Expand all files Collapse all files

7
tests/test_zero/test_low_level/test_grad_acc.py
View File

@@ -7,9 +7,10 @@ from torch.nn.parallel import DistributedDataParallel as DDP
from torch.testing import assert_close
import colossalai
from colossalai.accelerator import get_accelerator
from colossalai.testing import spawn
from colossalai.testing.random import seed_all
from colossalai.utils import conditional_context, get_current_device
from colossalai.utils import conditional_context
from colossalai.zero import LowLevelZeroOptimizer
@@ -28,7 +29,7 @@ class MlpModel(nn.Module):
def exam_zero_1_2_grad_acc():
local_rank = torch.distributed.get_rank()
seed_all(2009)
device = get_current_device()
device = get_accelerator().get_current_device()
# create model
zero1_model = MlpModel().to(device)
zero2_model = copy.deepcopy(zero1_model)
@@ -71,7 +72,7 @@ def exam_zero_1_2_grad_acc():
def exam_zero_1_grad_acc(sync):
local_rank = torch.distributed.get_rank()
seed_all(2008)
device = get_current_device()
device = get_accelerator().get_current_device()
# create models
zero_model = MlpModel()