训练出错（https://github.com/MegEngine/Models/tree/master/official/quantization）

[aspnetcs]

执行 python3 train.py -a resnet18 -d /home/rootx/Models/official/quantization/dataset/flowers-recognition/ --mode normal
出错了，缺少文件，咋办？

root@rootx-virtual-machine:/home/rootx/Models/official/quantization# python3 train.py -a resnet18 -d /home/rootx/Models/official/quantization/dataset/flowers-recognition/ --mode normal
err: Failed to load CUDA Driver API library
err: failed to load cuda func: cuCtxGetCurrent
err: failed to load cuda func: cuCtxGetCurrent
05 09:43:15[mgb] ERR cudaGetDeviceCount failed: CUDA driver version is insufficient for CUDA runtime version (err 35)
05 09:43:15[mgb] WRN cuda unavailable: CUDA driver version is insufficient for CUDA runtime version(35) ndev=-1
05 09:43:16 preparing dataset..
05 09:43:16 WRN devkit directory /home/rootx/Models/official/quantization/dataset/flowers-recognition/ILSVRC2012_devkit_t12 does not exists
05 09:43:16 checksum devkit tar file /home/rootx/Models/official/quantization/dataset/flowers-recognition/ILSVRC2012_devkit_t12.tar.gz ...
Traceback (most recent call last):
File "train.py", line 309, in
main()
File "train.py", line 65, in main
worker(0, 1, args)
File "train.py", line 152, in worker
train_dataset = data.dataset.ImageNet(args.data, train=True)
File "/usr/local/lib/python3.6/dist-packages/megengine/data/dataset/vision/imagenet.py", line 97, in init
self._prepare_devkit()
File "/usr/local/lib/python3.6/dist-packages/megengine/data/dataset/vision/imagenet.py", line 245, in _prepare_devkit
calculate_md5(raw_file) == checksum
File "/usr/local/lib/python3.6/dist-packages/megengine/data/dataset/vision/utils.py", line 56, in calculate_md5
with open(filename, "rb") as f:
FileNotFoundError: [Errno 2] No such file or directory: '/home/rootx/Models/official/quantization/dataset/flowers-recognition/ILSVRC2012_devkit_t12.tar.gz'
root@rootx-virtual-machine:/home/rootx/Models/official/quantization#

环境

1.系统环境：
2.MegEngine版本：
3.python版本：
4.模型名称：

复现步骤

请提供关键的代码片段便于追查问题

请提供完整的日志及报错信息

[aspnetcs]

用这些吗？

http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_img_test.tar
http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_img_val.tar
http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_img_train.tar
http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_devkit_t12.tar
http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_bbox_train_v2.tar

[aspnetcs]

http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_devkit_t12.tar 下载不下来，咋办？

[aspnetcs]

ImageNet.zip
用这个能下载

[aspnetcs]

imagenet，过于庞大，可用于训练测试的有小型数据集吗？

[FateScript]

imagenet，过于庞大，可用于训练测试的有小型数据集吗？

首先，models里面的模型是用于复现，用小数据集如mnist的确可以，但是没有人会在mnist上做试验，如果你想要玩一些toy模型，自己写一个dataloader就可以