Merge 7f9de81 into 14d250f

open-mmlab · Feb 25, 2021 · 4662568 · 4662568
2 parents 14d250f + 7f9de81
commit 4662568
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Showing 95 changed files with 100 additions and 95 deletions.
diff --git a/configs/cascade_rcnn/cascade_rcnn_r50_fpn_20e_coco.py b/configs/cascade_rcnn/cascade_rcnn_r50_fpn_20e_coco.py
@@ -1,4 +1,4 @@
 _base_ = './cascade_rcnn_r50_fpn_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 19])
-runner = dict(max_epochs=20)
+runner = dict(type='EpochBasedRunner', max_epochs=20)
diff --git a/configs/centripetalnet/centripetalnet_hourglass104_mstest_16x6_210e_coco.py b/configs/centripetalnet/centripetalnet_hourglass104_mstest_16x6_210e_coco.py
@@ -102,4 +102,4 @@
     warmup_iters=500,
     warmup_ratio=1.0 / 3,
     step=[190])
-runner = dict(max_epochs=210)
+runner = dict(type='EpochBasedRunner', max_epochs=210)
diff --git a/configs/cityscapes/faster_rcnn_r50_fpn_1x_cityscapes.py b/configs/cityscapes/faster_rcnn_r50_fpn_1x_cityscapes.py
@@ -32,7 +32,8 @@
     warmup_ratio=0.001,
     # [7] yields higher performance than [6]
     step=[7])
-runner = dict(max_epochs=8)  # actual epoch = 8 * 8 = 64
+runner = dict(
+    type='EpochBasedRunner', max_epochs=8)  # actual epoch = 8 * 8 = 64
 log_config = dict(interval=100)
 # For better, more stable performance initialize from COCO
 load_from = 'https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth'  # noqa
diff --git a/configs/cityscapes/mask_rcnn_r50_fpn_1x_cityscapes.py b/configs/cityscapes/mask_rcnn_r50_fpn_1x_cityscapes.py
@@ -39,7 +39,8 @@
     warmup_ratio=0.001,
     # [7] yields higher performance than [6]
     step=[7])
-runner = dict(max_epochs=8)  # actual epoch = 8 * 8 = 64
+runner = dict(
+    type='EpochBasedRunner', max_epochs=8)  # actual epoch = 8 * 8 = 64
 log_config = dict(interval=100)
 # For better, more stable performance initialize from COCO
 load_from = 'https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_1x_coco/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth'  # noqa
diff --git a/configs/cornernet/cornernet_hourglass104_mstest_10x5_210e_coco.py b/configs/cornernet/cornernet_hourglass104_mstest_10x5_210e_coco.py
@@ -102,4 +102,4 @@
     warmup_iters=500,
     warmup_ratio=1.0 / 3,
     step=[180])
-runner = dict(max_epochs=210)
+runner = dict(type='EpochBasedRunner', max_epochs=210)
diff --git a/configs/cornernet/cornernet_hourglass104_mstest_32x3_210e_coco.py b/configs/cornernet/cornernet_hourglass104_mstest_32x3_210e_coco.py
@@ -102,4 +102,4 @@
     warmup_iters=500,
     warmup_ratio=1.0 / 3,
     step=[180])
-runner = dict(max_epochs=210)
+runner = dict(type='EpochBasedRunner', max_epochs=210)
diff --git a/configs/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco.py b/configs/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco.py
@@ -102,4 +102,4 @@
     warmup_iters=500,
     warmup_ratio=1.0 / 3,
     step=[180])
-runner = dict(max_epochs=210)
+runner = dict(type='EpochBasedRunner', max_epochs=210)
diff --git a/configs/deepfashion/mask_rcnn_r50_fpn_15e_deepfashion.py b/configs/deepfashion/mask_rcnn_r50_fpn_15e_deepfashion.py
@@ -7,4 +7,4 @@
     roi_head=dict(
         bbox_head=dict(num_classes=15), mask_head=dict(num_classes=15)))
 # runtime settings
-runner = dict(max_epochs=15)
+runner = dict(type='EpochBasedRunner', max_epochs=15)
diff --git a/configs/detr/detr_r50_8x2_150e_coco.py b/configs/detr/detr_r50_8x2_150e_coco.py
@@ -128,4 +128,4 @@
 optimizer_config = dict(grad_clip=dict(max_norm=0.1, norm_type=2))
 # learning policy
 lr_config = dict(policy='step', step=[100])
-runner = dict(max_epochs=150)
+runner = dict(type='EpochBasedRunner', max_epochs=150)
diff --git a/configs/fast_rcnn/fast_rcnn_r50_fpn_2x_coco.py b/configs/fast_rcnn/fast_rcnn_r50_fpn_2x_coco.py
@@ -2,4 +2,4 @@
 
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/faster_rcnn/faster_rcnn_r50_caffe_dc5_mstrain_3x_coco.py b/configs/faster_rcnn/faster_rcnn_r50_caffe_dc5_mstrain_3x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './faster_rcnn_r50_caffe_dc5_mstrain_1x_coco.py'
 # learning policy
 lr_config = dict(step=[28, 34])
-runner = dict(max_epochs=36)
+runner = dict(type='EpochBasedRunner', max_epochs=36)
diff --git a/configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_mstrain_2x_coco.py b/configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_mstrain_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './faster_rcnn_r50_caffe_fpn_mstrain_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 23])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_mstrain_3x_coco.py b/configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_mstrain_3x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './faster_rcnn_r50_caffe_fpn_mstrain_1x_coco.py'
 # learning policy
 lr_config = dict(step=[28, 34])
-runner = dict(max_epochs=36)
+runner = dict(type='EpochBasedRunner', max_epochs=36)
diff --git a/configs/fcos/fcos_r101_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py b/configs/fcos/fcos_r101_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py
@@ -41,4 +41,4 @@
     test=dict(pipeline=test_pipeline))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/fcos/fcos_r50_caffe_fpn_gn-head_1x_coco.py b/configs/fcos/fcos_r50_caffe_fpn_gn-head_1x_coco.py
@@ -102,4 +102,4 @@
     warmup_iters=500,
     warmup_ratio=1.0 / 3,
     step=[8, 11])
-runner = dict(max_epochs=12)
+runner = dict(type='EpochBasedRunner', max_epochs=12)
diff --git a/configs/fcos/fcos_r50_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py b/configs/fcos/fcos_r50_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py
@@ -36,4 +36,4 @@
     test=dict(pipeline=test_pipeline))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/fcos/fcos_x101_64x4d_fpn_gn-head_mstrain_640-800_2x_coco.py b/configs/fcos/fcos_x101_64x4d_fpn_gn-head_mstrain_640-800_2x_coco.py
@@ -56,4 +56,4 @@
     _delete_=True, grad_clip=dict(max_norm=35, norm_type=2))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/foveabox/fovea_align_r101_fpn_gn-head_4x4_2x_coco.py b/configs/foveabox/fovea_align_r101_fpn_gn-head_4x4_2x_coco.py
@@ -7,4 +7,4 @@
         norm_cfg=dict(type='GN', num_groups=32, requires_grad=True)))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/foveabox/fovea_align_r101_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py b/configs/foveabox/fovea_align_r101_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py
@@ -24,4 +24,4 @@
 data = dict(train=dict(pipeline=train_pipeline))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/foveabox/fovea_align_r50_fpn_gn-head_4x4_2x_coco.py b/configs/foveabox/fovea_align_r50_fpn_gn-head_4x4_2x_coco.py
@@ -5,6 +5,6 @@
         norm_cfg=dict(type='GN', num_groups=32, requires_grad=True)))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
 optimizer_config = dict(
     _delete_=True, grad_clip=dict(max_norm=35, norm_type=2))
diff --git a/configs/foveabox/fovea_align_r50_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py b/configs/foveabox/fovea_align_r50_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py
@@ -22,4 +22,4 @@
 data = dict(train=dict(pipeline=train_pipeline))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/foveabox/fovea_r50_fpn_4x4_2x_coco.py b/configs/foveabox/fovea_r50_fpn_4x4_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './fovea_r50_fpn_4x4_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/gfl/gfl_r50_fpn_mstrain_2x_coco.py b/configs/gfl/gfl_r50_fpn_mstrain_2x_coco.py
@@ -1,7 +1,7 @@
 _base_ = './gfl_r50_fpn_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
 # multi-scale training
 img_norm_cfg = dict(
     mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)

diff --git a/configs/gn+ws/mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco.py b/configs/gn+ws/mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_r101_fpn_gn_ws-all_2x_coco.py'
 # learning policy
 lr_config = dict(step=[20, 23])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco.py b/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py'
 # learning policy
 lr_config = dict(step=[20, 23])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py b/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py
@@ -14,4 +14,4 @@
         mask_head=dict(conv_cfg=conv_cfg, norm_cfg=norm_cfg)))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco.py b/configs/gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco.py'
 # learning policy
 lr_config = dict(step=[20, 23])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/gn+ws/mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco.py b/configs/gn+ws/mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco.py'
 # learning policy
 lr_config = dict(step=[20, 23])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/gn/mask_rcnn_r101_fpn_gn-all_3x_coco.py b/configs/gn/mask_rcnn_r101_fpn_gn-all_3x_coco.py
@@ -2,4 +2,4 @@
 
 # learning policy
 lr_config = dict(step=[28, 34])
-runner = dict(max_epochs=36)
+runner = dict(type='EpochBasedRunner', max_epochs=36)
diff --git a/configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py b/configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py
@@ -43,4 +43,4 @@
     test=dict(pipeline=test_pipeline))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/gn/mask_rcnn_r50_fpn_gn-all_3x_coco.py b/configs/gn/mask_rcnn_r50_fpn_gn-all_3x_coco.py
@@ -2,4 +2,4 @@
 
 # learning policy
 lr_config = dict(step=[28, 34])
-runner = dict(max_epochs=36)
+runner = dict(type='EpochBasedRunner', max_epochs=36)
diff --git a/configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py b/configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py
@@ -12,4 +12,4 @@
         mask_head=dict(norm_cfg=norm_cfg)))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco.py b/configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco.py
@@ -2,4 +2,4 @@
 
 # learning policy
 lr_config = dict(step=[28, 34])
-runner = dict(max_epochs=36)
+runner = dict(type='EpochBasedRunner', max_epochs=36)
diff --git a/configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_1x_coco.py b/configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_1x_coco.py
@@ -8,4 +8,4 @@
     step=[8, 11])
 checkpoint_config = dict(interval=1)
 # runtime settings
-runner = dict(max_epochs=12)
+runner = dict(type='EpochBasedRunner', max_epochs=12)
diff --git a/configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco.py b/configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco.py
@@ -132,4 +132,4 @@
     warmup_iters=3665,
     warmup_ratio=1.0 / 80,
     step=[17, 23])
-runner = dict(max_epochs=25)
+runner = dict(type='EpochBasedRunner', max_epochs=25)
diff --git a/configs/grid_rcnn/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco.py b/configs/grid_rcnn/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco.py
@@ -20,4 +20,4 @@
     warmup_iters=3665,
     warmup_ratio=1.0 / 80,
     step=[17, 23])
-runner = dict(max_epochs=25)
+runner = dict(type='EpochBasedRunner', max_epochs=25)
diff --git a/configs/guided_anchoring/ga_retinanet_r101_caffe_fpn_mstrain_2x.py b/configs/guided_anchoring/ga_retinanet_r101_caffe_fpn_mstrain_2x.py
@@ -164,4 +164,4 @@
     ])
 # yapf:enable
 # runtime settings
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/cascade_mask_rcnn_hrnetv2p_w32_20e_coco.py b/configs/hrnet/cascade_mask_rcnn_hrnetv2p_w32_20e_coco.py
@@ -36,4 +36,4 @@
         out_channels=256))
 # learning policy
 lr_config = dict(step=[16, 19])
-runner = dict(max_epochs=20)
+runner = dict(type='EpochBasedRunner', max_epochs=20)
diff --git a/configs/hrnet/cascade_rcnn_hrnetv2p_w32_20e_coco.py b/configs/hrnet/cascade_rcnn_hrnetv2p_w32_20e_coco.py
@@ -36,4 +36,4 @@
         out_channels=256))
 # learning policy
 lr_config = dict(step=[16, 19])
-runner = dict(max_epochs=20)
+runner = dict(type='EpochBasedRunner', max_epochs=20)
diff --git a/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.py b/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.py
@@ -2,4 +2,4 @@
 
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/faster_rcnn_hrnetv2p_w32_2x_coco.py b/configs/hrnet/faster_rcnn_hrnetv2p_w32_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './faster_rcnn_hrnetv2p_w32_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/faster_rcnn_hrnetv2p_w40_2x_coco.py b/configs/hrnet/faster_rcnn_hrnetv2p_w40_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './faster_rcnn_hrnetv2p_w40_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/fcos_hrnetv2p_w18_gn-head_4x4_2x_coco.py b/configs/hrnet/fcos_hrnetv2p_w18_gn-head_4x4_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './fcos_hrnetv2p_w18_gn-head_4x4_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/fcos_hrnetv2p_w32_gn-head_4x4_2x_coco.py b/configs/hrnet/fcos_hrnetv2p_w32_gn-head_4x4_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './fcos_hrnetv2p_w32_gn-head_4x4_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/fcos_hrnetv2p_w32_gn-head_mstrain_640-800_4x4_2x_coco.py b/configs/hrnet/fcos_hrnetv2p_w32_gn-head_mstrain_640-800_4x4_2x_coco.py
@@ -36,4 +36,4 @@
     test=dict(pipeline=test_pipeline))
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/htc_hrnetv2p_w40_28e_coco.py b/configs/hrnet/htc_hrnetv2p_w40_28e_coco.py
@@ -1,4 +1,4 @@
 _base_ = './htc_hrnetv2p_w40_20e_coco.py'
 # learning policy
 lr_config = dict(step=[24, 27])
-runner = dict(max_epochs=28)
+runner = dict(type='EpochBasedRunner', max_epochs=28)
diff --git a/configs/hrnet/htc_x101_64x4d_fpn_16x1_28e_coco.py b/configs/hrnet/htc_x101_64x4d_fpn_16x1_28e_coco.py
@@ -1,4 +1,4 @@
 _base_ = '../htc/htc_x101_64x4d_fpn_16x1_20e_coco.py'
 # learning policy
 lr_config = dict(step=[24, 27])
-runner = dict(max_epochs=28)
+runner = dict(type='EpochBasedRunner', max_epochs=28)
diff --git a/configs/hrnet/mask_rcnn_hrnetv2p_w18_2x_coco.py b/configs/hrnet/mask_rcnn_hrnetv2p_w18_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_hrnetv2p_w18_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/mask_rcnn_hrnetv2p_w32_2x_coco.py b/configs/hrnet/mask_rcnn_hrnetv2p_w32_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_hrnetv2p_w32_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/hrnet/mask_rcnn_hrnetv2p_w40_2x_coco.py b/configs/hrnet/mask_rcnn_hrnetv2p_w40_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_hrnetv2p_w40_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/htc/htc_r101_fpn_20e_coco.py b/configs/htc/htc_r101_fpn_20e_coco.py
@@ -2,4 +2,4 @@
 model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101))
 # learning policy
 lr_config = dict(step=[16, 19])
-runner = dict(max_epochs=20)
+runner = dict(type='EpochBasedRunner', max_epochs=20)
diff --git a/configs/htc/htc_r50_fpn_20e_coco.py b/configs/htc/htc_r50_fpn_20e_coco.py
@@ -1,4 +1,4 @@
 _base_ = './htc_r50_fpn_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 19])
-runner = dict(max_epochs=20)
+runner = dict(type='EpochBasedRunner', max_epochs=20)
diff --git a/configs/htc/htc_x101_32x4d_fpn_16x1_20e_coco.py b/configs/htc/htc_x101_32x4d_fpn_16x1_20e_coco.py
@@ -15,4 +15,4 @@
 data = dict(samples_per_gpu=1, workers_per_gpu=1)
 # learning policy
 lr_config = dict(step=[16, 19])
-runner = dict(max_epochs=20)
+runner = dict(type='EpochBasedRunner', max_epochs=20)
diff --git a/configs/htc/htc_x101_64x4d_fpn_16x1_20e_coco.py b/configs/htc/htc_x101_64x4d_fpn_16x1_20e_coco.py
@@ -15,4 +15,4 @@
 data = dict(samples_per_gpu=1, workers_per_gpu=1)
 # learning policy
 lr_config = dict(step=[16, 19])
-runner = dict(max_epochs=20)
+runner = dict(type='EpochBasedRunner', max_epochs=20)
diff --git a/configs/htc/htc_x101_64x4d_fpn_dconv_c3-c5_mstrain_400_1400_16x1_20e_coco.py b/configs/htc/htc_x101_64x4d_fpn_dconv_c3-c5_mstrain_400_1400_16x1_20e_coco.py
@@ -39,4 +39,4 @@
     samples_per_gpu=1, workers_per_gpu=1, train=dict(pipeline=train_pipeline))
 # learning policy
 lr_config = dict(step=[16, 19])
-runner = dict(max_epochs=20)
+runner = dict(type='EpochBasedRunner', max_epochs=20)
diff --git a/configs/instaboost/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco.py b/configs/instaboost/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco.py
@@ -25,4 +25,4 @@
 data = dict(train=dict(pipeline=train_pipeline))
 # learning policy
 lr_config = dict(step=[32, 44])
-runner = dict(max_epochs=48)
+runner = dict(type='EpochBasedRunner', max_epochs=48)
diff --git a/configs/instaboost/mask_rcnn_r50_fpn_instaboost_4x_coco.py b/configs/instaboost/mask_rcnn_r50_fpn_instaboost_4x_coco.py
@@ -25,4 +25,4 @@
 data = dict(train=dict(pipeline=train_pipeline))
 # learning policy
 lr_config = dict(step=[32, 44])
-runner = dict(max_epochs=48)
+runner = dict(type='EpochBasedRunner', max_epochs=48)
diff --git a/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco.py b/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 23])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py b/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py'
 # learning policy
 lr_config = dict(step=[28, 34])
-runner = dict(max_epochs=36)
+runner = dict(type='EpochBasedRunner', max_epochs=36)
diff --git a/configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py b/configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py
@@ -58,4 +58,4 @@
     test=dict(pipeline=test_pipeline))
 
 lr_config = dict(step=[28, 34])
-runner = dict(max_epochs=36)
+runner = dict(type='EpochBasedRunner', max_epochs=36)
diff --git a/configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco.py b/configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './ms_rcnn_r101_caffe_fpn_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco.py b/configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './ms_rcnn_r50_caffe_fpn_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco.py b/configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco.py
@@ -1,4 +1,4 @@
 _base_ = './ms_rcnn_x101_64x4d_fpn_1x_coco.py'
 # learning policy
 lr_config = dict(step=[16, 22])
-runner = dict(max_epochs=24)
+runner = dict(type='EpochBasedRunner', max_epochs=24)
diff --git a/configs/nas_fpn/retinanet_r50_fpn_crop640_50e_coco.py b/configs/nas_fpn/retinanet_r50_fpn_crop640_50e_coco.py
@@ -77,4 +77,4 @@
     warmup_ratio=0.1,
     step=[30, 40])
 # runtime settings
-runner = dict(max_epochs=50)
+runner = dict(type='EpochBasedRunner', max_epochs=50)