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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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46
colossalai/legacy/context/process_group_initializer/initializer_2p5d.py
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@@ -19,12 +19,14 @@ def _check_tesseract_env_var(tesseract_dim: int, tesseract_dep: int):
env_tesseract_dep = env.tesseract_dep
if env_tesseract_dim and env_tesseract_dep:
assert int(env_tesseract_dim) == tesseract_dim, \
'TESSERACT_DIM has been set in the current environment and ' \
'does not match with the value passed to this initialized'
assert int(env_tesseract_dep) == tesseract_dep, \
'TESSERACT_DEP has been set in the current environment and ' \
'does not match with the value passed to this initialized'
assert int(env_tesseract_dim) == tesseract_dim, (
"TESSERACT_DIM has been set in the current environment and "
"does not match with the value passed to this initialized"
)
assert int(env_tesseract_dep) == tesseract_dep, (
"TESSERACT_DEP has been set in the current environment and "
"does not match with the value passed to this initialized"
)
else:
env.tesseract_dim = tesseract_dim
env.tesseract_dep = tesseract_dep
@@ -50,8 +52,9 @@ class Initializer_2p5D_ROW(ProcessGroupInitializer):
self.num_group = self.world_size // self.tensor_parallel_size
self.tesseract_dep = tesseract_dep
self.tesseract_dim = tesseract_dim
assert self.tensor_parallel_size == self.tesseract_dim ** 2 * self.tesseract_dep, \
"Tensor parallel size should be depth * dim ** 2 in 2.5D parallel"
assert (
self.tensor_parallel_size == self.tesseract_dim**2 * self.tesseract_dep
), "Tensor parallel size should be depth * dim ** 2 in 2.5D parallel"
def init_dist_group(self):
"""Initialize 2.5D tensor row parallel groups, and assign local_ranks and groups to each gpu.
@@ -75,7 +78,7 @@ class Initializer_2p5D_ROW(ProcessGroupInitializer):
for i in range(self.tesseract_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)
@@ -129,7 +132,7 @@ class Initializer_2p5D_Col(ProcessGroupInitializer):
for j in range(self.tesseract_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)
@@ -183,7 +186,7 @@ class Initializer_2p5D_Dep(ProcessGroupInitializer):
for k in range(self.tesseract_dep)
]
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)
@@ -238,7 +241,7 @@ class Initializer_2p5D_XZ(ProcessGroupInitializer):
for j in range(self.tesseract_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)
@@ -265,16 +268,25 @@ class Initializer_2p5D(ProcessGroupInitializer):
depth (int): The depth of 2.5d parallel.
"""
def __init__(self, rank: int, world_size: int, config: Config, data_parallel_size: int, pipeline_parallel_size: int,
tensor_parallel_size: int, depth: int):
def __init__(
self,
rank: int,
world_size: int,
config: Config,
data_parallel_size: int,
pipeline_parallel_size: int,
tensor_parallel_size: int,
depth: int,
):
args = (rank, world_size, config, data_parallel_size, pipeline_parallel_size, tensor_parallel_size)
super().__init__(*args)
self.num_group = self.world_size // self.tensor_parallel_size
self.tesseract_dim = int(math.sqrt(self.tensor_parallel_size / depth))
self.tesseract_dep = depth
assert self.tensor_parallel_size == self.tesseract_dim ** 2 * self.tesseract_dep, \
"2.5D tesseract dim should equal to (tensor parallel size / tesseract dep) ^ 0.5"
assert (
self.tensor_parallel_size == self.tesseract_dim**2 * self.tesseract_dep
), "2.5D tesseract dim should equal to (tensor parallel size / tesseract dep) ^ 0.5"
_check_tesseract_env_var(self.tesseract_dim, self.tesseract_dep)
self.col_initializer = Initializer_2p5D_Col(self.tesseract_dim, self.tesseract_dep, *args)
@@ -293,6 +305,6 @@ class Initializer_2p5D(ProcessGroupInitializer):
self.col_initializer.init_dist_group(),
self.row_initializer.init_dist_group(),
self.dep_initializer.init_dist_group(),
self.xz_initializer.init_dist_group()
self.xz_initializer.init_dist_group(),
]
return parallel_setting