Margrate
Margrate
a great job! but where is the file. ./scripts/base-imagenet.sh?
I got mIoU=**51.42** (59 classes) and mIoU=**46.58**(60 classes) which was a great gap compared with paper 
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? 
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 ?