Chun Han Lu

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Apologies for the new spaces, it was automatically modified by Pycharm IDE

`python test.py --dataset ade20k --pretrained --model fcn --backbone resnet50 --eval` ![Screenshot from 2019-10-18 16-35-31](https://user-images.githubusercontent.com/18246639/67134138-5cd7ab00-f1c5-11e9-87f3-e7a1de85efdc.png) `python test.py --dataset pascal_voc --pretrained --model fcn --backbone resnet101 --eval` ![Screenshot from 2019-10-18 16-31-43](https://user-images.githubusercontent.com/18246639/67134142-5ea16e80-f1c5-11e9-9bda-a9adffb6c864.png)

I faced the same problem while training mnist with WGANGP, this solutions works fine for me. Thanks~

It could be done by modifying with **model = nn.DataParallel(model)** Just by aware that **latency_to_accumulate** has shape [1] which is not allowed to parallel It should be reshape to [#of...