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cyclemlp fix bug and add models
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image_classification/CycleMLP/README.md

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Update (2021-09-24): Code is released and ported weights are uploaded.
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## Models Zoo
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| Model | Acc@1 | Acc@5 | Image Size | Crop_pct | Interpolation | Link |
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|--------------------------------|-------|-------|------------|----------|---------------|--------------|
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| cyclemlp_b1 | 78.85 | 94.60 | 224 | 0.9 | bicubic | |
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| cyclemlp_b2 | 81.58 | 95.81 | 224 | 0.9 | bicubic | |
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| cyclemlp_b3 | 82.42 | 96.07 | 224 | 0.9 | bicubic | |
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| cyclemlp_b4 | 82.96 | 96.33 | 224 | 0.875 | bicubic | |
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| cyclemlp_b5 | 83.25 | 96.44 | 224 | 0.875 | bicubic | |
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| Model | Acc@1 | Acc@5 | #Params | FLOPs | Image Size | Crop_pct | Interpolation | Link |
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|-------------------------------|-------|-------|---------|--------|------------|----------|---------------|--------------|
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| cyclemlp_b1 | 78.85 | 94.60 | 15.1M | | 224 | 0.9 | bicubic | [google](https://drive.google.com/file/d/10WQenRy9lfOJF4xEHc9Mekp4zHRh0mJ_/view?usp=sharing)/[baidu](https://pan.baidu.com/s/11UQp1RkWBsZFOqit_uU80w)(mnbr) |
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| cyclemlp_b2 | 81.58 | 95.81 | 26.8M | | 224 | 0.9 | bicubic | [google](https://drive.google.com/file/d/1dtQHCwtxNh9jgiHivN5iYpHe7uKRUjhk/view?usp=sharing)/[baidu](https://pan.baidu.com/s/1Js-Oq5vyiB7oPagn43cn3Q)(jwj9) |
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| cyclemlp_b3 | 82.42 | 96.07 | 38.3M | | 224 | 0.9 | bicubic | [google](https://drive.google.com/file/d/11kMq112tAwVE5llJIepIIixz74AjaJhU/view?usp=sharing)/[baidu](https://pan.baidu.com/s/1b7cau1yPxqATA8X7t2DXkw)(v2fy) |
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| cyclemlp_b4 | 82.96 | 96.33 | 51.8M | | 224 | 0.875 | bicubic | [google](https://drive.google.com/file/d/1vwJ0eD9Ic-NvLvCz1zEAmn7RxBMtd_v2/view?usp=sharing)/[baidu](https://pan.baidu.com/s/1P3TlnXRFGWj9nVP5xBGGWQ)(fnqd) |
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| cyclemlp_b5 | 83.25 | 96.44 | 75.7M | | 224 | 0.875 | bicubic | [google](https://drive.google.com/file/d/12_I4cfOBfp7kC0RvmnMXFqrSxww6plRW/view?usp=sharing)/[baidu](https://pan.baidu.com/s/1-Cka1tNqGUQutkAP3VZXzQ)(s55c) |
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> *The results are evaluated on ImageNet2012 validation set.
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>

image_classification/CycleMLP/config.py

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_C.SEED = 0
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_C.EVAL = False # run evaluation only
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_C.LOCAL_RANK = 0
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_C.NGPUS = 1
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_C.NGPUS = -1 #Default: -1
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def _update_config_from_file(config, cfg_file):

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