(
ctx,
v_render_colors: Tensor, # [C, H, W, 3]
v_render_alphas: Tensor, # [C, H, W, 1]
)
| 956 | |
| 957 | @staticmethod |
| 958 | def backward( |
| 959 | ctx, |
| 960 | v_render_colors: Tensor, # [C, H, W, 3] |
| 961 | v_render_alphas: Tensor, # [C, H, W, 1] |
| 962 | ): |
| 963 | ( |
| 964 | means2d, |
| 965 | conics, |
| 966 | colors, |
| 967 | opacities, |
| 968 | backgrounds, |
| 969 | masks, |
| 970 | isect_offsets, |
| 971 | flatten_ids, |
| 972 | render_alphas, |
| 973 | last_ids, |
| 974 | ) = ctx.saved_tensors |
| 975 | width = ctx.width |
| 976 | height = ctx.height |
| 977 | tile_size = ctx.tile_size |
| 978 | absgrad = ctx.absgrad |
| 979 | |
| 980 | ( |
| 981 | v_means2d_abs, |
| 982 | v_means2d, |
| 983 | v_conics, |
| 984 | v_colors, |
| 985 | v_opacities, |
| 986 | ) = _make_lazy_cuda_func("rasterize_to_pixels_bwd")( |
| 987 | means2d, |
| 988 | conics, |
| 989 | colors, |
| 990 | opacities, |
| 991 | backgrounds, |
| 992 | masks, |
| 993 | width, |
| 994 | height, |
| 995 | tile_size, |
| 996 | isect_offsets, |
| 997 | flatten_ids, |
| 998 | render_alphas, |
| 999 | last_ids, |
| 1000 | v_render_colors.contiguous(), |
| 1001 | v_render_alphas.contiguous(), |
| 1002 | absgrad, |
| 1003 | ) |
| 1004 | |
| 1005 | if absgrad: |
| 1006 | means2d.absgrad = v_means2d_abs |
| 1007 | |
| 1008 | if ctx.needs_input_grad[4]: |
| 1009 | v_backgrounds = (v_render_colors * (1.0 - render_alphas).float()).sum( |
| 1010 | dim=(1, 2) |
| 1011 | ) |
| 1012 | else: |
| 1013 | v_backgrounds = None |
| 1014 | |
| 1015 | return ( |
nothing calls this directly
no test coverage detected