I have just started with libtorch and I am having some trouble with while loops and tensors

So, my main func looks like so:

```
int main()
{
auto tensor_create_options = torch::TensorOptions().dtype(torch::kFloat32).device(torch::kCPU).requires_grad(false);
torch::Tensor randn_tensor = torch::randn({10}, tensor_create_options);
int randn_tensor_size = randn_tensor.sizes()[0];
while (randn_tensor_size > 5)
{
std::cout << "==> randn_tensor shape: " << randn_tensor.sizes() << std::endl;
randn_tensor.reset(); //reset();
torch::Tensor randn_tensor = torch::randn({3}, tensor_create_options);
std::cout << "==> randn_tensor shape 3: " << randn_tensor.sizes() << std::endl;
randn_tensor_size--;
}
return 0;
}
```

and I get thrown this:

```
==> randn_tensor shape: [10]
==> randn_tensor shape 3: [3]
terminate called after throwing an instance of 'c10::Error'
what(): sizes() called on undefined Tensor
```

Essentially, what I want to do is recreate the tensor within the while loop and ensure that I can access it again in the whileloop.

Interestingly, it seems to have cerated the tensor of reduced size but the while loop does not seem to recognise this.

Thank you!