[Feature] Support ConvMixer #716
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@@ Coverage Diff @@
## dev #716 +/- ##
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+ Coverage 85.04% 85.11% +0.07%
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Files 123 124 +1
Lines 7603 7666 +63
Branches 1311 1324 +13
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+ Hits 6466 6525 +59
- Misses 945 946 +1
- Partials 192 195 +3
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| _base_ = ['./pipelines/rand_aug.py'] | |||
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What's the difference with imagenet_bs64_swin_224.py? If no difference, just reuse that file.
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test pipeline resize 233
| convfunc = nn.Conv2d | ||
| if digit_version(torch.__version__) < digit_version('1.9.0'): | ||
| convfunc = Conv2dAdaptivePadding |
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So the Conv2d in torch>=1.9.0 is the same as Conv2dAdaptivePadding in torch<1.9.0?
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the same as Conv2dAdaptivePadding in mmcv
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* basic support for ConvMixer * simplify * add data pipeine config for timm * Add model readme and metafile * add unittest for convmixer * add copyright * modify * add tests * update model * add conv2dAdaptivePadding replacement * update model index * fix comments * Update checkpoint path Co-authored-by: mzr1996 <mzr1996@163.com>
Motivation
Support ConvMixer and add converted models from origin repo.
Checklist
Before PR:
After PR: