RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is Fal

時間 2020-05-05

標籤 runtimeerror attempting deserialize object cuda device torch.cuda.is torch available fal 简体版

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RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. 問題描述沒有GPU，torch安裝的CPU版本web 跑程序時報錯： RuntimeError: Attempting to deserialize object on a CUDA dev

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1. RuntimeError: Invalid device, must be cuda device
2. RuntimeError: CUDA error: device-side assert triggered
3. 解決錯誤 RuntimeError: cuda runtime error (710) : device-side assert triggered a
4. Learning to Compare: Relation Network 源碼調試
5. model.to(device)那裏報錯RuntimeError: CUDA error: out of memory
6. Redis is configured to save RDB snapshots, but is currently not able to persist on disk.
7. log4j:ERROR A "org.apache.log4j.DailyRollingFileAppender" object is not assignable to a "org.apache.
8. 【Exception】LoggerFactory is not a Logback LoggerContext but Logback is on the classpath. Either remo
9. LoggerFactory is not a Logback LoggerContext but Logback is on the classpath. Either remove Logback
10. RuntimeError: Trying to backward through the graph a second time, but the buffers have already been

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