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[misc] update pre-commit and run all files (#4752)

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* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format
This commit is contained in:
Hongxin Liu
2023-09-19 14:20:26 +08:00
committed by GitHub
parent 3c6b831c26
commit 079bf3cb26
1268 changed files with 50037 additions and 38444 deletions
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14
colossalai/legacy/zero/gemini/ophooks/runtime_mem_tracer_hook.py
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@@ -15,8 +15,7 @@ class TrainingPhase(Enum):
BACKWARD = 1
class GradMemStats():
class GradMemStats:
def __init__(self) -> None:
self.unreleased_grad_flag = {}
self.unreleased_grad_volume = 0
@@ -26,8 +25,7 @@ class GradMemStats():
self.unreleased_grad_volume = 0
class GradMemTracerHook():
class GradMemTracerHook:
def __init__(self, grad_stats: GradMemStats):
self.grad_hook_list = []
self._grad_stats = grad_stats
@@ -50,7 +48,6 @@ class GradMemTracerHook():
class ParamMemTracerHook(ColoParamOpHook):
def __init__(self, memstats: MemStats, gradstats: GradMemStats) -> None:
super().__init__()
self._training_phase = TrainingPhase.FORWARD
@@ -79,10 +76,9 @@ class ParamMemTracerHook(ColoParamOpHook):
if cur_dev == "cpu":
if p.grad is not None and p.grad.device.type == "cpu":
raise NotImplementedError("Only run in forward propagation")
p.data = torch.empty(p.data.shape,
device="cuda",
dtype=p.data.dtype,
requires_grad=p.data.requires_grad)
p.data = torch.empty(
p.data.shape, device="cuda", dtype=p.data.dtype, requires_grad=p.data.requires_grad
)
elif cur_dev == "cuda":
alloc_storage(p.data)