![Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same or input should be a MKLDNN tensor and weight is a dense tensor - vision - PyTorch Forums Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same or input should be a MKLDNN tensor and weight is a dense tensor - vision - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/b/b/bb333ee5dc25d18dd0dd4b360bf73fb44e565ecf.png)
Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same or input should be a MKLDNN tensor and weight is a dense tensor - vision - PyTorch Forums
![Regression with explicit type conversion from float to uint8 on gpu devices. · Issue #36807 · pytorch/pytorch · GitHub Regression with explicit type conversion from float to uint8 on gpu devices. · Issue #36807 · pytorch/pytorch · GitHub](https://user-images.githubusercontent.com/3254751/79597832-f9193680-80b0-11ea-82e5-ae19692a490d.png)
Regression with explicit type conversion from float to uint8 on gpu devices. · Issue #36807 · pytorch/pytorch · GitHub
![can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first." and "list object has no attribute cpu" - vision - PyTorch Forums can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first." and "list object has no attribute cpu" - vision - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/b/2/b289bfa411470b59ff3377837b1e064cac96a525.png)