Comments (1)
it seems to be an intentional design
from torchsharp.
Related Issues (20)
- missing stuffs in torch.nn.utils HOT 5
- Issue running in notebook on Apple Silicon HOT 1
- torch.nn.functional.avg_pool1d is not working correctly HOT 2
- cstr and npstr for 0d tensors HOT 2
- InverseMelScale in NewDisposeScope HOT 4
- NotSupportedException: This application or script uses TorchSharp but doesn't contain a reference to libtorch-cpu-win-x64
- How to import model parameters without participating in training HOT 6
- Ranges implementation HOT 3
- Having trouble accessing training property of module HOT 1
- MoveToOuterDisposeScope that returns Parameter HOT 1
- Exception occurred when getting the state dictionary(state_dict). HOT 33
- To get the raw data array of a tensor, it takes some time. HOT 3
- ConvTranspose3d does not accept non-uniform kernelSize/stride values HOT 2
- TorchSharp memory issue HOT 19
- torch.finfo(dtype).min is 0 when dtype is torch.float16 while in pytorch the min value is -65504.0 HOT 3
- Will TorchSharp support exporting ONNX models in the future? HOT 8
- Why is the torch.unique function private? HOT 1
- "Console.WriteLine" in "Dotnet Interactive" after catching "Tensor invalid -- empty handle" exception HOT 1
- tensor to array with shape HOT 6
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from torchsharp.