Comments (2)
young-yhx
commented on August 22, 2024
苏神您好，在运行seq2seq_model.py进行生成训练的时候，GPU只占用了257M，但CPU占用超级大，训练的时候一个epoch要话费2h左右，我服务器有四张40G的卡，我推断是没用到GPU进行训练，我直接os.environ["CUDA_VISIBLE_DEVICES"] = "1"的时候并没有得到改善，还是大量用到的是CPU。请问代码如何设置使用GPU进行训练，加快训练速度，望解答，谢谢您！
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balabanahei
commented on August 22, 2024
兄弟，请问解决了吗，
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Related Issues (20)
- 复现了一下pytorch版本，欢迎讨论指正！
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- 数据集
- extract_convert.py中函数parallel_apply出错 HOT 1
- 实验环境与训练速度 HOT 5
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- 苏神你好 ，可以分享下模型权重文件嘛，自己训练的设备跟不上，想在模型生成的权重基础上学习下。
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- 1
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- 请问这个报错是什么问题，运行seq2seq_model.py的时候
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