【问题标题】：OpenNMT-py summarization runtimeOpenNMT-py 汇总运行时
【发布时间】：2020-02-07 17:32:53
【问题描述】：
我在 AWS gpu 上运行 OpenNMT-py 汇总的转换器脚本将近 22 小时（仅使用 30% 的 cnndm 数据）。有人知道需要多长时间吗？谢谢！
https://opennmt.net/OpenNMT-py/Summarization.html
[2020-02-06 20:15:24,151 INFO] encoder: 38212608
[2020-02-06 20:15:24,151 INFO] decoder: 42469717
[2020-02-06 20:15:24,151 INFO] * number of parameters: 80682325
[2020-02-06 20:15:24,154 INFO] Starting training on GPU: [0]
[2020-02-06 20:15:24,154 INFO] Start training loop and validate every 10000 steps...
【问题讨论】：
标签：
python
nlp
summarization
【解决方案1】：
Mon Feb 10 16:10:25 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.87.01 Driver Version: 418.87.01 CUDA Version: 10.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla M60 On | 00000000:00:1E.0 Off | 0 |
| N/A 47C P0 48W / 150W | 3691MiB / 7618MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 6078 C - 2MiB |
| 0 88254 C /home/ec2-user/anaconda3/bin/python 3045MiB |
| 0 88255 C /home/ec2-user/anaconda3/bin/python 630MiB |
+-----------------------------------------------------------------------------+