Comments (4)
Could you please provide the full log for this command? The data process step just cost 10 seconds on my machine.
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Could you please provide the full log for this command? The data process step just cost 10 seconds on my machine.
cpu usage, this process exhaust all my cpus.
My cpu
$ cat /proc/cpuinfo | grep name | cut -f2 -d: | uniq -c 32 Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
from crslab.
Could you please provide the full log for this command? The data process step just cost 10 seconds on my machine.
cpu usage, this process exhaust all my cpus.
My cpu
$ cat /proc/cpuinfo | grep name | cut -f2 -d: | uniq -c 32 Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
The log shows that it cost almost 7 hours in the training stage. I guess that you're not using the GPU to run this process.
You can:
- Run command "nvidia-smi" to ensure the process
29050
are running on the GPU; - If there isn't any process running on the GPU, you can run the following command to verify if the cuda toolkit is available.
python -c "import torch; print(torch.cuda.is_available())"
from crslab.
Could you please provide the full log for this command? The data process step just cost 10 seconds on my machine.
Log
cpu usage, this process exhaust all my cpus.
My cpu
$ cat /proc/cpuinfo | grep name | cut -f2 -d: | uniq -c 32 Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
The log shows that it cost almost 7 hours in the training stage. I guess that you're not using the GPU to run this process.
You can:
- Run command "nvidia-smi" to ensure the process
29050
are running on the GPU;- If there isn't any process running on the GPU, you can run the following command to verify if the cuda toolkit is available.
python -c "import torch; print(torch.cuda.is_available())"
you are right!!!!!!
I has thought data process has no need of GPU, but it need.
Thank you
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Related Issues (20)
- About the evaluation metric dist@K HOT 2
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- ReDial Recommender Results HOT 3
- Missing implementation for data preprocessing HOT 2
- Can't download redial data, file is not found. HOT 2
- 交互式如何使用啊? HOT 1
- 下载问题 HOT 1
- TGREDIAL数据集中的user2history文件里的"xxx/z":[yyyy,yyyyy,yyyyy,yyyyyyy,....] HOT 4
- How to manually check the testing result on each testing sample? HOT 1
- Unable to reproduce the results from paper using default config HOT 1
- 安装CRSLab报错
- python run_crslab.py --config config/crs/tgredial/tgredial.yaml --save_data --save_system
- NTRD HOT 4
- Is it normal for dataloader to run so slowly? HOT 3
- AssertionError: [ Checksum for cc.en.300.zip... HOT 1
- The range value of dist@k
- ntrd-redial
- training 设置报错 HOT 3
- 下载链接失效
- Reproducibility and Perplexity calculation on test data
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