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[FIX] Fix wrn configs #368

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merged 3 commits into from
Dec 5, 2022
Merged

[FIX] Fix wrn configs #368

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13a92fb
fix wrn configs
fpshuang Dec 1, 2022
c92bb09
fix wrn configs
fpshuang Dec 1, 2022
fd63210
update online wrn model weight
fpshuang Dec 2, 2022
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4 changes: 2 additions & 2 deletions configs/vanilla/mmcls/wide-resnet/README.md
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Expand Up @@ -19,9 +19,9 @@ Deep residual networks were shown to be able to scale up to thousands of layers
| Model | Top-1 (%) | Config | Download |
| :----: | :-------: | :-----------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| WRN-16 | 93.04 | [config](./wrn16-w2_b16x8_cifar10.py) | [model](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/wide_resnet/wrn16_2_b16x8_cifar10_20220831_204709-446b466e.pth) \| [log](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/wide_resnet/wrn16_2_b16x8_cifar10_20220831_204709-446b466e.json) |
| WRN-22 | | [config](./wrn22-w4_b16x8_cifar10.py) | [model](<>) \| [log](<>) |
| WRN-22 | 94.8700 | [config](./wrn22-w4_b16x8_cifar10.py) | [model](<>) \| [log](<>) |
| WRN-28 | 95.41 | [config](./wrn28-w4_b16x8_cifar10.py) | [model](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/wide_resnet/wrn28_4_b16x8_cifar10_20220831_173536-d6f8725c.pth) \| [log](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/wide_resnet/wrn28_4_b16x8_cifar10_20220831_173536-d6f8725c.json) |
| WRN-40 | | [config](./wrn40-w2_b16x8_cifar10.py) | [model](<>) \| [log](<>) |
| WRN-40 | 94.6700 | [config](./wrn40-w2_b16x8_cifar10.py) | [model](<>) \| [log](<>) |

## Citation

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2 changes: 1 addition & 1 deletion configs/vanilla/mmcls/wide-resnet/wrn22-w4_b16x8_cifar10.py
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@@ -1,3 +1,3 @@
_base_ = ['wrn16_w2_b16x8_cifar10.py']
_base_ = ['wrn16-w2_b16x8_cifar10.py']
model = dict(
backbone=dict(depth=22, widen_factor=4), head=dict(in_channels=256, ))
2 changes: 1 addition & 1 deletion configs/vanilla/mmcls/wide-resnet/wrn28-w4_b16x8_cifar10.py
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@@ -1,3 +1,3 @@
_base_ = ['wrn16_w2_b16x8_cifar10.py']
_base_ = ['wrn16-w2_b16x8_cifar10.py']
model = dict(
backbone=dict(depth=28, widen_factor=4), head=dict(in_channels=256, ))
2 changes: 1 addition & 1 deletion configs/vanilla/mmcls/wide-resnet/wrn40-w2_b16x8_cifar10.py
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@@ -1,3 +1,3 @@
_base_ = ['wrn16_w2_b16x8_cifar10.py']
_base_ = ['wrn16-w2_b16x8_cifar10.py']
model = dict(
backbone=dict(depth=40, widen_factor=2), head=dict(in_channels=128, ))