[Doc]: clean requirements of mmcv-full due to SyncBN (#9207)

* fix mmcv-full * Update mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-270k_coco.py * Update mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-scp-270k_coco.py * Update mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py * Update mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py
open-mmlab · Nov 3, 2022 · f98fb86 · f98fb86
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diff --git a/.../simple_copy_paste/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-270k_coco.py b/.../simple_copy_paste/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-270k_coco.py
@@ -11,7 +11,6 @@
 norm_cfg = dict(type='SyncBN', requires_grad=True)
 # Use MMSyncBN that handles empty tensor in head. It can be changed to
 # SyncBN after https://github.com/pytorch/pytorch/issues/36530 is fixed
-# Requires MMCV-full after  https://github.com/open-mmlab/mmcv/pull/1205.
 head_norm_cfg = dict(type='MMSyncBN', requires_grad=True)
 model = dict(
     # the model is trained from scratch, so init_cfg is None

diff --git a/...ple_copy_paste/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-scp-270k_coco.py b/...ple_copy_paste/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-scp-270k_coco.py
@@ -11,7 +11,6 @@
 norm_cfg = dict(type='SyncBN', requires_grad=True)
 # Use MMSyncBN that handles empty tensor in head. It can be changed to
 # SyncBN after https://github.com/pytorch/pytorch/issues/36530 is fixed
-# Requires MMCV-full after  https://github.com/open-mmlab/mmcv/pull/1205.
 head_norm_cfg = dict(type='MMSyncBN', requires_grad=True)
 model = dict(
     # the model is trained from scratch, so init_cfg is None

diff --git a/...s/strong_baselines/mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py b/...s/strong_baselines/mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py
@@ -9,7 +9,6 @@
 norm_cfg = dict(type='SyncBN', requires_grad=True)
 # Use MMSyncBN that handles empty tensor in head. It can be changed to
 # SyncBN after https://github.com/pytorch/pytorch/issues/36530 is fixed
-# Requires MMCV-full after  https://github.com/open-mmlab/mmcv/pull/1205.
 head_norm_cfg = dict(type='MMSyncBN', requires_grad=True)
 model = dict(
     # use caffe norm

diff --git a/configs/strong_baselines/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py b/configs/strong_baselines/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py
@@ -10,7 +10,6 @@
 norm_cfg = dict(type='SyncBN', requires_grad=True)
 # Use MMSyncBN that handles empty tensor in head. It can be changed to
 # SyncBN after https://github.com/pytorch/pytorch/issues/36530 is fixed
-# Requires MMCV-full after  https://github.com/open-mmlab/mmcv/pull/1205.
 head_norm_cfg = dict(type='MMSyncBN', requires_grad=True)
 model = dict(
     # the model is trained from scratch, so init_cfg is None