深度学习code解决方案

GTX_AI

深度学习code解决方案
【1】解决Anaconda下“The kernel has died, and the automatic restart has failed.” 的问题
在命令行输入conda update spyder；
conda upgrade notebook
conda upgrade jupyter我的电脑软件解决方法：添加if __name__ == '__main__':

GTX_AI

【2】RuntimeError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 8.00 GiB total capacity; 6.04 GiB already allocated; 217.75 MiB free; 31.60 MiB cached)

1. del inputs,labels,outputs
   
2. torch.cuda.empty_cache()

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