Merge pull request #403 from modelscope/dev/check_lint

fix yapf error

examples/pytorch/llm/_common.py

@@ -445,7 +445,7 @@ def plot_image(tb_dir: str,
     fname = os.listdir(tb_dir)[0]
     tb_path = os.path.join(tb_dir, fname)
     data = read_tensorboard_file(tb_path)
-    #
+
     for k in data.keys():
         _data = data[k]
         steps = [d['step'] for d in _data]

modelscope/models/cv/video_stabilization/utils/WarpUtils.py

@@ -46,9 +46,8 @@ def mesh_warp_frame(frame, x_motion, y_motion, cap_width, cap_height):
             homo,
             origin_kp.contiguous().view(2, -1).permute(1, 0)).permute(1, 0)
 
-        projection.append(
-            projected_kp.contiguous().view(*origin_kp.shape).permute(
-                1, 2, 0))  # 2, H, W --> H, W, 2
+        projection.append(projected_kp.contiguous().view(
+            *origin_kp.shape).permute(1, 2, 0))  # 2, H, W --> H, W, 2
     projection = torch.stack(projection, 0)
 
     projection[:, :, :, 0] = projection[:, :, :, 0] / cfg.MODEL.WIDTH * 2. - 1.

modelscope/models/nlp/gpt_moe/moe/sharded_moe.py

@@ -430,9 +430,9 @@ class MOELayer(Base):
         self.use_expert_residual_network = use_expert_residual_network
 
         if self.use_expert_residual_network:
-            self.expert_network = nn.Sequential(
-                *([ExpertResidualLayer(self.gate.model_dim)
-                   for _ in range(6)]))  # noqa
+            self.expert_network = nn.Sequential(*([
+                ExpertResidualLayer(self.gate.model_dim) for _ in range(6)
+            ]))  # noqa
 
         self.use_tutel = use_tutel and TUTEL_INSTALLED