Question about sampling_offest, sampling_locations normalize for F.grid_sample

[SnaKey0u0]

Thank you for the great work!

I have a question,
when query pass through the linear layer of sampling_offest, I found out that its value is between +-4 at the first epoch,
and then normalized by offset_normalizer, which stands for feature map size like 32, 16, etc.

After the above steps, the sampling_locations will not keep in the range [0,1], and then the sampling_grids = 2 * sampling_locations - 1 for F.grid_sample (I am using the pytorch version) will not follow the rule of range (-1, 1).

Could you help me figure out this problem?