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

* [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

View File

@@ -14,9 +14,10 @@ def _check_summa_env_var(summa_dim):
env_summa_dim = env.summa_dim
if env_summa_dim:
assert int(env_summa_dim) == summa_dim, \
'SUMMA_DIM has been set in the current environment and ' \
'does not match with the value passed to this initialized'
assert int(env_summa_dim) == summa_dim, (
"SUMMA_DIM has been set in the current environment and "
"does not match with the value passed to this initialized"
)
else:
env.summa_dim = summa_dim
@@ -57,7 +58,7 @@ class Initializer_2D_Row(ProcessGroupInitializer):
for j in range(self.summa_dim):
ranks = [i * self.tensor_parallel_size + j * self.summa_dim + k for k in range(self.summa_dim)]
group = dist.new_group(ranks)
group_cpu = dist.new_group(ranks, backend='gloo') if dist.get_backend() != 'gloo' else group
group_cpu = dist.new_group(ranks, backend="gloo") if dist.get_backend() != "gloo" else group
if self.rank in ranks:
local_rank = ranks.index(self.rank)
@@ -106,7 +107,7 @@ class Initializer_2D_Col(ProcessGroupInitializer):
for j in range(self.summa_dim):
ranks = [i * self.tensor_parallel_size + j + k * self.summa_dim for k in range(self.summa_dim)]
group = dist.new_group(ranks)
group_cpu = dist.new_group(ranks, backend='gloo') if dist.get_backend() != 'gloo' else group
group_cpu = dist.new_group(ranks, backend="gloo") if dist.get_backend() != "gloo" else group
if self.rank in ranks:
local_rank = ranks.index(self.rank)
@@ -137,8 +138,9 @@ class Initializer_2D(ProcessGroupInitializer):
self.num_group = self.world_size // self.tensor_parallel_size
self.summa_dim = int(math.sqrt(self.tensor_parallel_size))
assert self.tensor_parallel_size == self.summa_dim ** 2, \
"2D summa dim should equal to tensor parallel size ^ 0.5"
assert (
self.tensor_parallel_size == self.summa_dim**2
), "2D summa dim should equal to tensor parallel size ^ 0.5"
_check_summa_env_var(self.summa_dim)
self.col_initializer = Initializer_2D_Col(self.num_group, self.summa_dim, *args, **kwargs)