[Fix] Remove fp16 folder in configs.
#1031
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Junjun2016
reviewed
Nov 11, 2021
| @@ -73,7 +73,6 @@ Supported methods: | |||
| - [x] [UNet (MICCAI'2016/Nat. Methods'2019)](configs/unet) | |||
| - [x] [PSPNet (CVPR'2017)](configs/pspnet) | |||
| - [x] [DeepLabV3 (ArXiv'2017)](configs/deeplabv3) | |||
| - [x] [Mixed Precision (FP16) Training (ArXiv'2017)](configs/fp16) | |||
| - [x] [BiSeNetV1 (ECCV'2018)](configs/bisenetv1) | |||
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Can we add one item named supported training tricks in the future?
Junjun2016
reviewed
Nov 11, 2021
| @@ -129,7 +129,7 @@ Please refer to [CGNet](https://github.com/open-mmlab/mmsegmentation/blob/master | |||
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| ### Mixed Precision (FP16) Training | |||
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| Please refer [Mixed Precision (FP16) Training](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fp16) for details. | |||
| Please refer [Mixed Precision (FP16) Training] on BiSeNetV2 (https://github.com/open-mmlab/mmsegmentation/blob/master/configs/bisenetv2/bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py) for details. | |||
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It seems that some algorithms are missing in the model zoo, should add in the future.
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Please merge the master branch into your branch, thank you. |
…into remove_fp16_folder
Junjun2016
approved these changes
Nov 15, 2021
bowenroom
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Feb 25, 2022
* remove fp16 folder * remove fp16 in docs * fix some typos * fix some typos * fix fp16 in yml
aravind-h-v
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Mar 27, 2023
* changed training example to add option to train model that predicts x0 (instead of eps), changed DDPM pipeline accordingly * Revert "changed training example to add option to train model that predicts x0 (instead of eps), changed DDPM pipeline accordingly" This reverts commit c5efb525648885f2e7df71f4483a9f248515ad61. * changed training example to add option to train model that predicts x0 (instead of eps), changed DDPM pipeline accordingly * fixed code style Co-authored-by: lukovnikov <lukovnikov@users.noreply.github.com>
wjkim81
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Dec 3, 2023
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Remove 4 FP16 config files into their corresponding folders.