field_xyz ?

[zhixwang]

Hi, I noticed that the program supports to extract field_xy, field_yz and field_xz.

Is it possible to extract field_xyz, so that I can do more complicated computations afterwards?

Thanks!

[zhixwang]

I mean, of course, I can write a for-loop and extract the field_xy along a series of z_prop iteratively. However, this will not be sufficiently vectorized and the speed will be limited.

Is it possible to input something like (x_axis, y_axis, z_axis = [z_prop]) such that we can directly read [Ex, Ey, Ez] as 3D-Tensors?

[kch3782]

First, vectorize is theoretically possible. However, in the initial development, we tried fully vectorized operation, but when operating with the eigenmode of the internal layer and the phase of the vectorized z-axis, it requires huge memory size. (rcwa.py line968 - 988) We have not yet found a memory-efficient operation method, so we have not added a function to extract the 3D field.

[zhixwang]

Thanks for the reply. I can understand that memory becomes a bottleneck for GPU computation. Perhaps an option would be to implement a vectorized 3D function, and in the worst case people can at least use it on CPU?

Sometimes users also use CPU to run PyTorch.

[kch3782]

We will consider 3D vectorized function when updating in the future. However, it may take a little longer to update due to verification. (Comparison with other electromagnetic simulations, etc.)

Thanks for the suggestion.

[zhixwang]

Thank you for taking care!