bugfix with float type casting in pytorch backend

[hajanssen]

Hello,

i had an issue using the cuda backend.
The type casting, with bd.float() in grid.py dosen work for torch.float64()
This cant be used like NumPy np.float64() to my knowledge.

A torch equivalent may be the following:
pytorchValue= torch.tensor(someValue,dtype=torch.float64())

I have proposed some changes that have done the trick for me.
I hope it is an ok approach, if not I am happy to hear a critique.

Thanks for this nice package I enjoy it a lot :)
Greeting Hauke

[flaport]

Thanks for your contribution, @hajanssen ,

However, I think it might be better to not use bd.float directly for type casting after all. Your solution would work in this specific case, but it will break using bd.float as dtype argument for other functions like bd.array and so on.

In stead I propose to use bd.array(..., dtype=bd.float) directly in stead of bd.float(...).

I updated the PR as such.

Thanks again for your input!

[hajanssen]

Ah ok, good foresight with the change, and thanks for the feedback and quick change!

Have a good day!