[NFC] polish colossalai/global_variables.py code style

colossalai/global_variables.py

@@ -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()