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Morizeyao avatar Morizeyao commented on May 14, 2024 1

会有一点影响，但是就现在你的硬件条件看，能跑已经不错了，不用奢求太多

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Morizeyao avatar Morizeyao commented on May 14, 2024

把config_small.json里的参数再改小，直到可以放得下为止，现在还是太大了

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chiangandy avatar chiangandy commented on May 14, 2024

我将batch_size设成4就可以过去(原先是8), 请问batch_size会影响输出的结果吗？

现在环境使用状况如下...
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.67 Driver Version: 418.67 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 | 00000000:00:1B.0 Off | 0 |
| N/A 61C P0 128W / 150W | 5633MiB / 7618MiB | 89% Default |
+-------------------------------+----------------------+----------------------+
| 1 Tesla M60 On | 00000000:00:1C.0 Off | 0 |
| N/A 74C P0 123W / 150W | 3857MiB / 7618MiB | 32% Default |
+-------------------------------+----------------------+----------------------+
| 2 Tesla M60 On | 00000000:00:1D.0 Off | 0 |
| N/A 65C P0 126W / 150W | 3857MiB / 7618MiB | 50% Default |
+-------------------------------+----------------------+----------------------+
| 3 Tesla M60 On | 00000000:00:1E.0 Off | 0 |
| N/A 73C P0 121W / 150W | 3857MiB / 7618MiB | 69% Default |
+-------------------------------+----------------------+----------------------+
我将batch_size调成4就可以过去
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 4291 C python3 5622MiB |
| 1 4291 C python3 3846MiB |
| 2 4291 C python3 3846MiB |
| 3 4291 C python3 3846MiB |
+-----------------------------------------------------------------------------+

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chiangandy avatar chiangandy commented on May 14, 2024

了解～感谢指导～

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