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详细的报错信息如下： RuntimeError: Expected all tensors to be on the same device, but fo
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使用TF进行计算，出现： Traceback (most recent call last): File "infer.py", line 14, in
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先单独创建一个py文件用于测试cuda是否配置正确 print(torch.cuda.is_available()) 运行后输出的是True，这代表你的cuda已经
相关 can‘t convert cuda:0 device type tensor to numpy
can't convert cuda:0 device type tensor to numpy 测试代码： import torch i
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can't convert cuda:0 device type tensor to numpy x是list，list内容是tensor cuda 代码： x = np
小鱼儿相关 No converter found capable of converting from type [java.lang.String] to type
2018-08-13 14:01:51.885 ERROR 10244 --- [nio-8082-exec-1] o.a.c.c.C.[.[.[/].[dispatc
相关 TypeError: can‘t convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory fi
运行程序如下： import numpy as np import torch from torch import nn from torch
相关 Linux Cuda - failed call to cuInit: CUDA_ERROR_NO_DEVICE
wu@wu-X555LF:~$ nvidia-smi Sat Jul 27 14:07:04 2019 +----------------
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