当你在使用PyTorch进行深度学习编程时,遇到错误信息“Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!”通常意味着你的程序中使用了位于不同设备(如GPU和CPU)上的张量进行操作,而PyTorch要求所有参与操作的张量必须位于同一设备上。以下是对该错误的详细解释、...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument tensors in method wrapper_CUDA_cat) 这个错误再次指出了在执行 `torch.cat` 操作时,参与操作的张量不在同一个设备上。错误信息显示,尝试将位于 `cu...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat1 in method wrapper_CUDA_addmm) 这个错误是使用ComfyUI的用户经常遇到的错误,从字面上理解是我们使用tensor张量时一些代码做运算时,忘记了把运算转...
i have problem with 4090 and --gpu-only arg error Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! I checked updates and searched for a similar error and found a simple solution, but I'm not comfortable putting it in PR form right now...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat2 in method wrapper_mm) 1. 原因 代码中的Tensor**,一会在CPU中运行,一会在GPU中运行**,所以最好是都放在同一个device中执行。
使用cpu时: device='cpu'x.to(device) 方法2:使用x.cuda()+CUDA_VISIBLE_DEVICES 很多贴子中说,使用x.cuda() 和x.to('cuda') 虽然是等效的,但是x.cuda() 的缺点是无法动态切换cpu。然而,其实配合命令行参数CUDA_VISIBLE_DEVICES 是可以进行切换的。
Hello, first of all thank you for the project. I have an issue running your python script fit_single_img.py and Im getting this error : RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 a...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument target in method wrapper_nll_loss_forward) 报这个错的原因在于,代码中的Tensor,一会在CPU中运行,一会在GPU中运行,所以最好是都放在同一个device中执...
函数计算FC报错怎么解决?RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select) 参考回答: 这个错误提示表明在函数计算FC中出现了设备不匹配的问题。具体来说,它...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument weight in method wrapper_nll_loss_forward) 二、报错原因 tensors 一会在CPU运算,一会在GPU运算。