RuntimeError: Attempting to deserialize object on CUDA device 2 but torch.cuda.device_count() is 2. - Code World

RuntimeError: Attempting to deserialize object on CUDA device 2 but torch.cuda.device_count() is 2.

Enterprise 2023-06-05 10:19:15 views: null

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Origin blog.csdn.net/wenqiwenqi123/article/details/122258589

RuntimeError: Attempting to deserialize object on CUDA device 2 but torch.cuda.device_count() is 2.

[Pytorch] RuntimeError: Attempting to deserialize object on CUDA device 2

【Pytorch】 Attempting to deserialize object on a CUDA device but torch.cuda.is_available()

[Pytorch] RuntimeError: Attempting to deserialize object on CUDA device 2

[Pytorch] RuntimeError: Attempting to deserialize object on CUDA device 2

[Pytorch] RuntimeError: Attempting to deserialize object on CUDA device 2

[Pytorch] RuntimeError: Attempting to deserialize object on CUDA device 2

[Pytorch] RuntimeError: Attempting to deserialize object on CUDA device 2

[Pytorch] RuntimeError: Attempting to deserialize object on CUDA device 2

[Pytorch] RuntimeError: Attempting to deserialize object on CUDA device 2

Debug Pytorch: RuntimeError: CUDA error: device-side assert triggered

已解决RuntimeError: CUDA error: no kernel image is available for execution on the device

RuntimeError: CUDA error: no kernel image is available for execution on the device

【bug记录】RuntimeError: CUDA error: device-side assert triggered

Record the cuda error that occurs when configuring mmpose RuntimeError: CUDA error: invalid device function

Pytorch read parameter error RuntimeError: cuda runtime error (10) : invalid device ordinal

RuntimeError: cuda runtime error (59) : device-side assert triggered (solved)

Record bug RuntimeError: CUDA error: device-side assert triggered problem

报错：RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda

[Notes] Solve the problem of CUDA Error: no kernel image is available for execution on the device when learning Chatglm2

RuntimeError: CUDA out of memory

RuntimeError: “nll_loss_forward_reduce_cuda_kernel_2d_index“ not implemented for ‘Int‘

[yolo series: RuntimeError: adaptive_avg_pool2d_backward_cuda does not have a deterministic impleme]

The correct solution to the RuntimeError: CUDA error: device-side assert triggered exception has been solved, and the personal test is effective! ! !

Expected object of backend CPU but got backend CUDA for argument #2 'weight'

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RuntimeError: Expected object of backend CPU but got backend CUDA for argument #4 'mat1'

报错：RuntimeError: Expected object of backend CUDA but got backend CPU for argument #3 'index'

RuntimeError: Expected object of backend CPU but got backend CUDA for argument #3 ‘index‘

GpuArrayException: No cuda device available to try to resolve

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