Hello everybody,
I want to translate and rotate a map matrix using the affine_grid and grid_sample method but want to avoid using a full 2d tensor because of very large RAM demand. My data is quite sparse, therefore I reduce the size by only keeping coordinates where values actually exist and reconstruct the map when needed. However I am struggeling to see whether there is any way to use/configure the grid_sample function to transform sparse matrices of this format:
x       y         value
[[4],   [5]],     [0.12],
[[4],   [10]],   [0.35],
[[24], [12]],   [0.84],
[[14], [595]], [0.55],
…
Does anybody know whether this won’t be possible using sample_grid? The values don’t need to be included at all costs either. Thank you!