Comments (1)
We recommend the following way to disable GPU. Modify
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
to
device = torch.device("cpu")
and remove multiple GPU option in your command line
--multi_gpu
I believe you know it is much slower to run it on CPU.
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Related Issues (20)
- the performance when using some filters (USM) is not good HOT 1
- ”dis" and "ref" in dataset json file HOT 3
- 请问有小白使用DVQA的使用指南吗? HOT 12
- Minimum hardware requirement for the evaluation of 720p/1080p video HOT 5
- 为什么对视频的评分需要的内存如此之大! HOT 4
- RuntimeError: The size of tensor a (109) must match the size of tensor b (71) at non-singleton dimension 2 HOT 3
- The performance on LIVE-VQA dataset. HOT 6
- 有预训练好的模型吗,想看看效果
- The question of the training setting of C3DVQA HOT 10
- dataset中json里的mos值是怎么获取?
- How to output the number of FLOPs of this model?
- 请问您有csiq数据集的下载地址吗,找了好久,都没找到。可以给个网盘地址或者发送到邮箱[email protected]。非常感谢。 HOT 5
- How is the MOS label in the dataset videoset mapped? This paper only uses video in yuv format, if only mp4 format is used, is there any performance impact? HOT 2
- Could you provide the download link of video quality datasets? HOT 2
- 训练一个自己的DVQA模型,理想的样本数量是多少? HOT 2
- a question about our eval results HOT 2
- The file(.json) about the dataset information of the LIVE and CSIQ HOT 2
- any pretrained models? HOT 1
- could you introduce some about the dataset size, training environments, training speed HOT 2
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