github/ColossalAI
1
0
Fork 0
mirror of https://github.com/hpcaitech/ColossalAI.git synced 2025-09-10 05:20:33 +00:00
Code Issues Packages Projects Releases Wiki Activity

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

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

15
colossalai/testing/utils.py
View File

@@ -55,7 +55,6 @@ def parameterize(argument: str, values: List[Any]) -> Callable:
"""
def _wrapper(func):
def _execute_function_by_param(**kwargs):
for val in values:
arg_map = {argument: val}
@@ -120,11 +119,11 @@ def rerun_on_exception(exception_type: Exception = Exception, pattern: str = Non
return False
def _wrapper(func):
def _run_until_success(*args, **kwargs):
try_count = 0
assert max_try is None or isinstance(max_try, int), \
f'Expected max_try to be None or int, but got {type(max_try)}'
assert max_try is None or isinstance(
max_try, int
), f"Expected max_try to be None or int, but got {type(max_try)}"
while max_try is None or try_count < max_try:
try:
@@ -132,14 +131,14 @@ def rerun_on_exception(exception_type: Exception = Exception, pattern: str = Non
ret = func(*args, **kwargs)
return ret
except exception_type as e:
error_lines = str(e).split('\n')
error_lines = str(e).split("\n")
if try_count < max_try and (pattern is None or _match_lines(error_lines, pattern)):
print('Exception is caught, retrying...')
print("Exception is caught, retrying...")
# when pattern is not specified, we always skip the exception
# when pattern is specified, we only skip when pattern is matched
continue
else:
print('Maximum number of attempts is reached or pattern is not matched, no more retrying...')
print("Maximum number of attempts is reached or pattern is not matched, no more retrying...")
raise e
# Override signature
@@ -198,7 +197,6 @@ def skip_if_not_enough_gpus(min_gpus: int):
"""
def _wrap_func(f):
def _execute_by_gpu_num(*args, **kwargs):
num_avail_gpu = torch.cuda.device_count()
if num_avail_gpu >= min_gpus:
@@ -263,7 +261,6 @@ def clear_cache_before_run():
"""
def _wrap_func(f):
def _clear_cache(*args, **kwargs):
torch.cuda.empty_cache()
torch.cuda.reset_peak_memory_stats()