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geoffwoollard
commented
Feb 21, 2025
| return idx_i, idx_j, None, None, None, None | ||
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| def mp_main(args): |
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have to downsample to avoid shared memory issues...
geoffwoollard
commented
Feb 25, 2025
| return torch.norm(a - b) | ||
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| def pairwise_norm(a_block, b, rotations_block): |
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shared memory...?
geoffwoollard
commented
Feb 25, 2025
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| #SBATCH -n 1 | ||
| #SBATCH -c 64 |
DSilva27
reviewed
Feb 25, 2025
| a_row = a_block[idx] # Shape: (k,) | ||
| rotations_row = rotations_block[idx] # Shape: (m, 3, 3) | ||
| # Vectorize the custom distance function using torch.vmap | ||
| batched_custom_distance = torch.vmap(align_and_distance, in_dims=(None, 0, 0)) |
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this should be defined outside the loop, preferably outside this function
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#111