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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
colossalai/legacy/nn/layer/colossalai_layer/normalization.py
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@@ -1,6 +1,6 @@
from torch import nn
from colossalai.utils import get_current_device
from colossalai.accelerator import get_accelerator
from ..parallel_1d import LayerNorm1D
from ..parallel_2d import LayerNorm2D
@@ -36,7 +36,7 @@ class LayerNorm(ColossalaiModule):
def __init__(self, normalized_shape: int, eps=1e-05, bias=True, dtype=None) -> None:
tensor_parallel = get_tensor_parallel_mode()
if tensor_parallel is None:
norm = nn.LayerNorm(normalized_shape, eps=eps).to(dtype).to(get_current_device())
norm = nn.LayerNorm(normalized_shape, eps=eps).to(dtype).to(get_accelerator().get_current_device())
else:
norm = _parallel_layernorm[tensor_parallel](normalized_shape, eps=eps, dtype=dtype)
super().__init__(norm)