Upgrade pre commit hooks (#2321)

* Upgrade the versions of pre-commit hooks

* update the versions of zh-cn.yaml

tests/test_device/test_ipu/test_ipu_utils.py

@@ -173,7 +173,6 @@ def test_cast_to_options():
 
 @skip_no_ipu
 def test_model_sharding():
-
     model = ToyModel()
     split_edges = [dict(layer_to_call='666', ipu_id=0)]
 

tests/test_image/test_image_misc.py

@@ -13,7 +13,6 @@ except ImportError:
 
 @pytest.mark.skipif(torch is None, reason='requires torch library')
 def test_tensor2imgs():
-
     # test tensor obj
     with pytest.raises(AssertionError):
         tensor = np.random.rand(2, 3, 3)

tests/test_ops/test_correlation.py

@@ -13,7 +13,6 @@ gt_input1_grad = [[[[1., 2., 3.], [3., 1., 2.], [8., 5., 2.]]]]
 
 
 def assert_equal_tensor(tensor_a, tensor_b):
-
     assert tensor_a.eq(tensor_b).all()
 
 

tests/test_ops/test_ms_deformable_attn.py

@@ -22,7 +22,6 @@ except ImportError:
             not torch.cuda.is_available(), reason='requires CUDA support'))
 ])
 def test_multiscale_deformable_attention(device_type):
-
     with pytest.raises(ValueError):
         # embed_dims must be divisible by num_heads,
         MultiScaleDeformableAttention(

tests/test_ops/test_onnx.py

@@ -601,7 +601,6 @@ def test_rotated_feature_align():
 
 @pytest.mark.parametrize('mode', ['top', 'bottom', 'left', 'right'])
 def test_corner_pool(mode, opset=11):
-
     from mmcv.ops import get_onnxruntime_op_path
     ort_custom_op_path = get_onnxruntime_op_path()
     if not os.path.exists(ort_custom_op_path):
@@ -646,7 +645,6 @@ def test_corner_pool(mode, opset=11):
 
 @pytest.mark.parametrize('key', ['cummax', 'cummin'])
 def test_cummax_cummin(key, opset=11):
-
     # Note generally `cummax` or `cummin` is exportable to ONNX
     # as long as the pytorch version >= 1.5.0, since `torch.cummax`
     # is only supported with torch >= 1.5.0.

tests/test_ops/test_roiaware_pool3d.py

@@ -112,7 +112,6 @@ def test_points_in_boxes_cpu():
 @pytest.mark.skipif(
     not torch.cuda.is_available(), reason='requires CUDA support')
 def test_points_in_boxes_all():
-
     boxes = torch.tensor(
         [[[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.3],
           [-10.0, 23.0, 16.0, 10, 20, 20, 0.5]]],

tests/test_ops/test_saconv.py

@@ -6,7 +6,6 @@ from mmcv.ops import SAConv2d
 
 
 def test_sacconv():
-
     # test with normal cast
     x = torch.rand(1, 3, 256, 256)
     saconv = SAConv2d(3, 5, kernel_size=3, padding=1)

tests/test_ops/test_tensorrt.py

@@ -653,7 +653,6 @@ def test_cummin_cummax(func: Callable):
 @pytest.mark.parametrize('dynamic_export', [True, False])
 @pytest.mark.parametrize('fp16_mode', [True, False])
 def test_instance_norm(dynamic_export, fp16_mode):
-
     n, c, h, w = 2, 3, 10, 10
     data = torch.randn(n, c, h, w).cuda()
     norm = nn.InstanceNorm2d(c, affine=True)

tests/test_runner/test_basemodule.py

@@ -437,7 +437,6 @@ def test_without_layer_weight_init():
 
 
 def test_override_weight_init():
-
     # only initialize 'override'
     model_cfg = dict(
         type='FooModel',

tests/test_runner/test_checkpoint.py

@@ -148,7 +148,6 @@ def test_get_state_dict():
 
 
 def test_load_pavimodel_dist():
-
     sys.modules['pavi'] = MagicMock()
     sys.modules['pavi.modelcloud'] = MagicMock()
     pavimodel = Mockpavimodel()

tests/test_runner/test_eval_hook.py

@@ -69,7 +69,6 @@ class Model(nn.Module):
 
 
 def _build_epoch_runner():
-
     model = Model()
     tmp_dir = tempfile.mkdtemp()
 
@@ -79,7 +78,6 @@ def _build_epoch_runner():
 
 
 def _build_iter_runner():
-
     model = Model()
     tmp_dir = tempfile.mkdtemp()
 

tests/test_runner/test_fp16.py

@@ -66,7 +66,6 @@ def test_cast_tensor_type():
 
 
 def test_auto_fp16():
-
     with pytest.raises(TypeError):
         # ExampleObject is not a subclass of nn.Module
 
@@ -192,7 +191,6 @@ def test_auto_fp16():
 
 
 def test_force_fp32():
-
     with pytest.raises(TypeError):
         # ExampleObject is not a subclass of nn.Module
 

tests/test_runner/test_runner.py

@@ -56,7 +56,6 @@ def test_build_runner():
 
 @pytest.mark.parametrize('runner_class', RUNNERS.module_dict.values())
 def test_epoch_based_runner(runner_class):
-
     with pytest.warns(DeprecationWarning):
         # batch_processor is deprecated
         model = OldStyleModel()

tests/test_utils/test_config.py

@@ -366,7 +366,6 @@ def test_merge_delete():
 
 
 def test_merge_intermediate_variable():
-
     cfg_file = osp.join(data_path, 'config/i_child.py')
     cfg = Config.fromfile(cfg_file)
     # cfg.field

tests/test_video/test_optflow.py

@@ -142,7 +142,6 @@ def test_flow2rgb():
 
 
 def test_flow_warp():
-
     img = np.zeros((5, 5, 3))
     img[2, 2, 0] = 1
     flow = np.ones((5, 5, 2))