“but found at least two devices, cpu and cuda:0”这个错误提示通常出现在使用PyTorch等深度学习框架时,尤其是在处理设备(如CPU或GPU)配置时出现问题。下面是对这个提示的详细解释、可能导致的情境以及解决方案: 1. 错误提示的含义 这个提示表明,当尝试将某些操作或模型分配给特定设备时,系统检测到了多个可用的...
_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path liuhaotian/llava-v1.5-13b", raise the problem of "RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!
1.使用deepspeed --num_gpus=1 app.py,依然报错,问题如下: 2.我看到相似问题中的解决办法:deepspeed --num_gpus=1 app.py --use_ram_optimized_load false 报错问题显示: Contributor research4pan commented Apr 12, 2023 • edited Thanks for providing more information! You may change line 29 of ...
1 是置信度。 实际上,.cfg 文件中 filters 参数未正确设置本身不会直接导致 "Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!" 的问题,但它可能间接引发错误,导致在某些计算中,特定张量没有被移动到 GPU,造成设备不匹配的错误。发布...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0,错误信息显示,尝试将位于`cuda:0`和`cpu`的张量进行拼接,但是所有参与`torch.cat`的张量必须位于同一设备上。1.**
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。
问题‘Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!’ 解决 方法1:x.to(device) 把 device 作为一个可变参数,推荐使用argparse
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...
1 I running the python code in the Google Colab. The code is related to execution a Spiking Neural Networks. When I plotting neuron's activations, there is a runtime error: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!rmihaylov/falcontune#30 Open Rem1Lmentioned this issueJul 25, 2023 Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment ...