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[NFC] polish colossalai/global_variables.py code style (#3259) 

Co-authored-by: luchen <luchen@luchendeMBP.lan>
pull/3313/head
jiangmingyan 2023-03-27 18:48:16 +08:00 committed by binmakeswell
parent 1ff7d5bfa5
commit 488f37048c
1 changed files with 56 additions and 56 deletions
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112
colossalai/global_variables.py
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@ -1,56 +1,56 @@
from typing import Optional
class TensorParallelEnv(object):
_instance = None
def __new__(cls, *args, **kwargs):
if cls._instance is None:
cls._instance = object.__new__(cls, *args, **kwargs)
return cls._instance
def __init__(self, *args, **kwargs):
self.load(*args, **kwargs)
def load(self,
mode: Optional[str] = None,
vocab_parallel: bool = False,
parallel_input_1d: bool = False,
summa_dim: int = None,
tesseract_dim: int = None,
tesseract_dep: int = None,
depth_3d: int = None,
input_group_3d=None,
weight_group_3d=None,
output_group_3d=None,
input_x_weight_group_3d=None,
output_x_weight_group_3d=None):
self.mode = mode
self.vocab_parallel = vocab_parallel
self.parallel_input_1d = parallel_input_1d
self.summa_dim = summa_dim
self.tesseract_dim = tesseract_dim
self.tesseract_dep = tesseract_dep
self.depth_3d = depth_3d
self.input_group_3d = input_group_3d
self.weight_group_3d = weight_group_3d
self.output_group_3d = output_group_3d
self.input_x_weight_group_3d = input_x_weight_group_3d
self.output_x_weight_group_3d = output_x_weight_group_3d
def save(self):
return dict(mode=self.mode,
vocab_parallel=self.vocab_parallel,
parallel_input_1d=self.parallel_input_1d,
summa_dim=self.summa_dim,
tesseract_dim=self.tesseract_dim,
tesseract_dep=self.tesseract_dep,
depth_3d=self.depth_3d,
input_group_3d=self.input_group_3d,
weight_group_3d=self.weight_group_3d,
output_group_3d=self.output_group_3d,
input_x_weight_group_3d=self.input_x_weight_group_3d,
output_x_weight_group_3d=self.output_x_weight_group_3d)
tensor_parallel_env = TensorParallelEnv()
from typing import Optional
class TensorParallelEnv(object):
_instance = None
def __new__(cls, *args, **kwargs):
if cls._instance is None:
cls._instance = object.__new__(cls, *args, **kwargs)
return cls._instance
def __init__(self, *args, **kwargs):
self.load(*args, **kwargs)
def load(self,
mode: Optional[str] = None,
vocab_parallel: bool = False,
parallel_input_1d: bool = False,
summa_dim: int = None,
tesseract_dim: int = None,
tesseract_dep: int = None,
depth_3d: int = None,
input_group_3d=None,
weight_group_3d=None,
output_group_3d=None,
input_x_weight_group_3d=None,
output_x_weight_group_3d=None):
self.mode = mode
self.vocab_parallel = vocab_parallel
self.parallel_input_1d = parallel_input_1d
self.summa_dim = summa_dim
self.tesseract_dim = tesseract_dim
self.tesseract_dep = tesseract_dep
self.depth_3d = depth_3d
self.input_group_3d = input_group_3d
self.weight_group_3d = weight_group_3d
self.output_group_3d = output_group_3d
self.input_x_weight_group_3d = input_x_weight_group_3d
self.output_x_weight_group_3d = output_x_weight_group_3d
def save(self):
return dict(mode=self.mode,
vocab_parallel=self.vocab_parallel,
parallel_input_1d=self.parallel_input_1d,
summa_dim=self.summa_dim,
tesseract_dim=self.tesseract_dim,
tesseract_dep=self.tesseract_dep,
depth_3d=self.depth_3d,
input_group_3d=self.input_group_3d,
weight_group_3d=self.weight_group_3d,
output_group_3d=self.output_group_3d,
input_x_weight_group_3d=self.input_x_weight_group_3d,
output_x_weight_group_3d=self.output_x_weight_group_3d)
tensor_parallel_env = TensorParallelEnv()