L-BFGS optimization hangs when using TorchSharp.Cuda and not TorchSharp.CPU

Xunit Test hangs indefinitely during **L-BFGS optimization** when using version 0.105.2

FYI: Not using the latest version 0.106.0 because it no longer support **Compute Capability: 6.1**

```cs
using System;
using TorchSharp;
using TorchSharp.Modules;
using Xunit;
using static TorchSharp.torch;

public class LbfgsCudaStressTests
{
private readonly Device _gpu = CUDA;
private readonly Device _cpu = CPU;

[Fact]
public void Lbfgs_Should_Not_Hang_On_CUDA()
{
if (!cuda.is_available())
return; // Skip on machines without CUDA

using var scope = NewDisposeScope();

var device = _gpu;

// Simple 1-parameter model
var w = torch.randn(new long[] { 1 }, device: device, requiresGrad: true);

var optimizer = optim.LBFGS(new[] { w }, lr: 1.0);

// Stress loop: L-BFGS is known to hang when repeatedly calling step() on CUDA
for (int i = 0; i < 200; i++)
{
bool completed = false;

// Timeout guard: if L-BFGS hangs, this iteration will never finish
var task = System.Threading.Tasks.Task.Run(() =>
{
optimizer.step(() =>
{
// Simple quadratic loss: (w - 3)^2
var loss = (w - 3).pow(2).sum();
loss.backward();
return loss;
});

completed = true;
});

// Wait 2 seconds per iteration — enough to detect a hang
if (!task.Wait(TimeSpan.FromSeconds(2)))
{
Assert.False(true, $"L-BFGS hang detected on CUDA at iteration {i}");
}

Assert.True(completed);
}
}
}
```