JINGTING comments

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                                            JINGTING

RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found one of them on device: cpu

I have a similar problem in computing the FLOPs. The error is corrected by using **net** instead of **net.module**.

I try to convert model from pytorch to caffe but a error occurred:

> Yes, that is required. Thanks for the codes, well, could you please also make the caffe "ShuffleChannel" implementation cpps public?

convert yolact to ONNX

> The environment I used: > onnx 1.4.1 > onnxruntime 0.4.0 > torch 1.0.1 > torchvision 0.2.1 > > Run > `python eval.py --trained_model=weights/yolact_darknet53_54_800000.pth --score_threshold=0.3 --top_k=100 --cuda=False --image=dog.jpg` > to...

[BUG]Error after changing the model from opt to gpt

same problem, any solutions? frame #56: __libc_start_main + 0xe7 (0x7f5d250ddc87 in /lib/x86_64-linux-gnu/libc.so.6) frame #57: _start + 0x2a (0x55a1f2d1f4ca in /usr/bin/python) terminate called after throwing an instance of 'c10::Error' what(): CUDA...