Margrate

Results 7 issues of Margrate

a great job! but where is the file. ./scripts/base-imagenet.sh?

enhancement

I got mIoU=**51.42** (59 classes) and mIoU=**46.58**(60 classes) which was a great gap compared with paper ![image](https://user-images.githubusercontent.com/42362411/131628530-8a2a8265-dc95-48bf-bd87-e1c10c4dacff.png)

Thank you for your sharing The config multi-scale and flip set as NO both training and testing or training is YES, testing is NO? ![image](https://user-images.githubusercontent.com/42362411/111292174-e291ab80-8682-11eb-9899-547bb66075ee.png)

It takes a long time to search architecture and train from start. If I use other code with Resnet to train from start. It only takes 1/5 time of DARTS...

I run python main.py --mode train --data data1/ImageNetOrigin --config config/mbv2/retrain.yaml \ --flops 43 --chcfg ./results/DMCPMobileNetV2_43_MMDDHH/model_sample/expected_ch Traceback (most recent call last): File "main.py", line 75, in main() File "main.py", line 42,...

/lua/5.1/torch/File.lua:343: unknown Torch class stack traceback: [C]: in function 'error' .../torch/install/share/lua/5.1/torch/File.lua:343: in function 'readObject' ... .../torch/install/share/lua/5.1/torch/File.lua:353: in function 'readObject' .../torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject' .../torch/install/share/lua/5.1/nngraph/gmodule.lua:495: in function 'read' .../torch/install/share/lua/5.1/torch/File.lua:351: in function...

Thank you for sharing. I didn't find the place that you changed the code to fit multi GPU. Did you update your code ?