System.AccessViolationException Error when using TorchSharp

[rapid-18]

A System.AccessViolationException Error occurs when executing a simple code
model = jit.load(modelPath, DeviceType.CUDA);
how can I fit that
the torchsharp version is TorchSharp-cuda-windows 0.100.7
the details of error information:
System.AccessViolationException
HResult=0x80004003
Message=尝试读取或写入受保护的内存。这通常指示其他内存已损坏。
Source=
StackTrace:

[yueyinqiu]

It could work for me (the exception is not thrown by jit.load):

Could you please provide us more details, like the specific model file or something else?

By the way, could the problem be solved by updating the package? I'm using 0.102.4.

[rapid-18]

I could hardly provide any more details because it's just a simple pytorch trained model, and this problem also occurs in many other executions related to loading model, like below
nn.Module Model = torchvision.models.resnet50();
so I think its not the problem from the model
But thank you anyway and I wil try on a newer version

[NiklasGustafsson]

Yes, please start by upgrading to the most recent version of TorchSharp -- it's very hard (let's call it impossible), given limited resources, for us to troubleshoot a version as old as 0.100.7, which is based on an earlier version of libtorch.

[rapid-18]

This problem still exists even when I change to version 0.102.4 when loading models.......

[NiklasGustafsson]

Okay, that's good to know, that makes it easier to troubleshoot.

Can you please show the Python code used to generate the "exported.method.dat" file?

[yueyinqiu]

@NiklasGustafsson The exported.method.dat is created by me, not by @rapid-18 .

And it could work for me. The exception is just because I didn't pass the required parameter. It's not the AccessViolationException we are talking about. Sorry for the misleading screenshot.