Tensor for argument #2 ‘mat1’ is on CPU, but expected it to be on GPU (while checking arguments for addmm)

需要将模型和输入数据都移动到 device

model=NonLinearRegression().to(device)#模型
for batch_idx,(data,target) in enumerate(train_loader):data,target=data.to(device),target.to(device)...
for data,target in val_loader: data,target=data.to(device),target.to(device)...

Tensor for argument #2 ‘mat1‘ is on CPU, but expected it to be on GPU (while checking arguments for相关推荐

解决RuntimeError: Tensor for ‘out’ is on CPU, Tensor for argument #1 ‘self’ is on CPU, but expected th
遇到上述错误可能是由于没有将所有变量搬到GPU上去,你可以尝试这样做,并且一定要注意顺序 device = torch.device('cuda' if torch.cuda.is_available ...
Tensor for ‘out‘ is on CPU, Tensor for argument #1 ‘self‘ is on CPU
1.问题模型训练完后进行测试,报错 RuntimeError: Tensor for 'out' is on CPU, Tensor for argument #1 'self' is on CPU ...
RuntimeError: Expected object of backend CUDA but got backend CPU for argument #4 'mat1'
RuntimeError: Expected object of backend CUDA but got backend CPU for argument #4 'mat1' 原因:变量没有加cud ...
Expected tensor for argument #1 ‘indices‘ to have one of the following scalar types: Long, Int； but
RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: L ...
torchserve 错误：RuntimeError: Expected tensor for argument #1 ‘input’ to have the same device as tenso
RuntimeError: Expected tensor for argument #1 'input' to have the same device as tensor for argument ...
Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight';
解决了题目所述问题. 报错完整信息为: RuntimeError: Expected tensor for argument #1 'input' to have the same device as ...
RuntimeError: Expected tensor for argument #1 ‘indices‘ to have scalar type Long； but got CUDAType
RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.cuda ...
告别CPU，加速100-1000倍！只用GPU就能完成物理模拟和强化学习训练
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CPU和GPU之所以大不相同,是由于其设计目标的不同,它们分别针对了两种不同的应用场景.CPU需要很强的通用性来处理各种不同的数据类型,同时又要逻辑判断又会引入大量的分支跳转和中断的处理.这些都使得C ...
关于‘lengths‘ argument should be a 1D CPU int64 tensor, but got 1D cuda:0 Long tensor报错的解决方发
复现论文的时候遇到的BUG,后来发现是torch版本升级的原因,发个博客记录一下. 解决方法是需要修改RNN.py文件中的代码. 源代码在244行上下: data, batch_sizes = \_V ...

Tensor for argument #2 ‘mat1‘ is on CPU, but expected it to be on GPU (while checking arguments for

Tensor for argument #2 ‘mat1’ is on CPU, but expected it to be on GPU (while checking arguments for addmm)

Tensor for argument #2 ‘mat1‘ is on CPU, but expected it to be on GPU (while checking arguments for相关推荐

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