1. 24 Apr, 2020 1 commit
    • Nikhila Ravi's avatar
      Cuda updates · c3d636dc
      Nikhila Ravi authored
      Summary:
      Updates to:
      - enable cuda kernel launches on any GPU (not just the default)
      - cuda and contiguous checks for all kernels
      - checks to ensure all tensors are on the same device
      - error reporting in the cuda kernels
      - cuda tests now run on a random device not just the default
      
      Reviewed By: jcjohnson, gkioxari
      
      Differential Revision: D21215280
      
      fbshipit-source-id: 1bedc9fe6c35e9e920bdc4d78ed12865b1005519
      c3d636dc
  2. 29 Mar, 2020 1 commit
    • Patrick Labatut's avatar
      Address black + isort fbsource linter warnings · d57daa6f
      Patrick Labatut authored
      Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff)
      
      Reviewed By: nikhilaravi
      
      Differential Revision: D20558373
      
      fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8
      d57daa6f
  3. 19 Mar, 2020 1 commit
    • Olivia's avatar
      Accumulate points (#4) · 53599770
      Olivia authored
      Summary:
      Code for accumulating points in the z-buffer in three ways:
      1. weighted sum
      2. normalised weighted sum
      3. alpha compositing
      
      Pull Request resolved: https://github.com/fairinternal/pytorch3d/pull/4
      
      Reviewed By: nikhilaravi
      
      Differential Revision: D20522422
      
      Pulled By: gkioxari
      
      fbshipit-source-id: 5023baa05f15e338f3821ef08f5552c2dcbfc06c
      53599770
  4. 12 Mar, 2020 1 commit
    • Patrick Labatut's avatar
      Remove shebang line when not strictly required · 3c71ab64
      Patrick Labatut authored
      Summary: The shebang line `#!<path to interpreter>` is only required for Python scripts, so remove it on source files for class or function definitions. Additionally explicitly mark as executable the actual Python scripts in the codebase.
      
      Reviewed By: nikhilaravi
      
      Differential Revision: D20095778
      
      fbshipit-source-id: d312599fba485e978a243292f88a180d71e1b55a
      3c71ab64
  5. 20 Feb, 2020 1 commit
    • Georgia Gkioxari's avatar
      face areas backward · a3baa367
      Georgia Gkioxari authored
      Summary:
      Added backward for mesh face areas & normals. Exposed it as a layer. Replaced the computation with the new op in Meshes and in Sample Points.
      
      Current issue: Circular imports. I moved the import of the op in meshes inside the function scope.
      
      Reviewed By: jcjohnson
      
      Differential Revision: D19920082
      
      fbshipit-source-id: d213226d5e1d19a0c8452f4d32771d07e8b91c0a
      a3baa367
  6. 13 Feb, 2020 1 commit
    • Georgia Gkioxari's avatar
      CPU implem for face areas normals · 29cd181a
      Georgia Gkioxari authored
      Summary:
      Added cpu implementation for face areas normals. Moved test and bm to separate functions.
      
      ```
      Benchmark                                   Avg Time(μs)      Peak Time(μs) Iterations
      --------------------------------------------------------------------------------
      FACE_AREAS_NORMALS_2_100_300_False                196             268           2550
      FACE_AREAS_NORMALS_2_100_300_True                 106             179           4733
      FACE_AREAS_NORMALS_2_100_3000_False              1447            1630            346
      FACE_AREAS_NORMALS_2_100_3000_True                107             178           4674
      FACE_AREAS_NORMALS_2_1000_300_False               201             309           2486
      FACE_AREAS_NORMALS_2_1000_300_True                107             186           4673
      FACE_AREAS_NORMALS_2_1000_3000_False             1451            1636            345
      FACE_AREAS_NORMALS_2_1000_3000_True               107             186           4655
      FACE_AREAS_NORMALS_10_100_300_False               767             918            653
      FACE_AREAS_NORMALS_10_100_300_True                106             167           4712
      FACE_AREAS_NORMALS_10_100_3000_False             7036            7754             72
      FACE_AREAS_NORMALS_10_100_3000_True               113             164           4445
      FACE_AREAS_NORMALS_10_1000_300_False              748             947            669
      FACE_AREAS_NORMALS_10_1000_300_True               108             169           4638
      FACE_AREAS_NORMALS_10_1000_3000_False            7069            7783             71
      FACE_AREAS_NORMALS_10_1000_3000_True              108             172           4646
      FACE_AREAS_NORMALS_32_100_300_False              2286            2496            219
      FACE_AREAS_NORMALS_32_100_300_True                108             180           4631
      FACE_AREAS_NORMALS_32_100_3000_False            23184           24369             22
      FACE_AREAS_NORMALS_32_100_3000_True               159             213           3147
      FACE_AREAS_NORMALS_32_1000_300_False             2414            2645            208
      FACE_AREAS_NORMALS_32_1000_300_True               112             197           4480
      FACE_AREAS_NORMALS_32_1000_3000_False           21687           22964             24
      FACE_AREAS_NORMALS_32_1000_3000_True              141             211           3540
      --------------------------------------------------------------------------------
      
      Benchmark                                         Avg Time(μs)      Peak Time(μs) Iterations
      --------------------------------------------------------------------------------
      FACE_AREAS_NORMALS_TORCH_2_100_300_False               5465            5782             92
      FACE_AREAS_NORMALS_TORCH_2_100_300_True                1198            1351            418
      FACE_AREAS_NORMALS_TORCH_2_100_3000_False             48228           48869             11
      FACE_AREAS_NORMALS_TORCH_2_100_3000_True               1186            1304            422
      FACE_AREAS_NORMALS_TORCH_2_1000_300_False              5556            6097             90
      FACE_AREAS_NORMALS_TORCH_2_1000_300_True               1200            1328            417
      FACE_AREAS_NORMALS_TORCH_2_1000_3000_False            48683           50016             11
      FACE_AREAS_NORMALS_TORCH_2_1000_3000_True              1185            1306            422
      FACE_AREAS_NORMALS_TORCH_10_100_300_False             24215           25097             21
      FACE_AREAS_NORMALS_TORCH_10_100_300_True               1150            1314            435
      FACE_AREAS_NORMALS_TORCH_10_100_3000_False           232605          234952              3
      FACE_AREAS_NORMALS_TORCH_10_100_3000_True              1193            1314            420
      FACE_AREAS_NORMALS_TORCH_10_1000_300_False            24912           25343             21
      FACE_AREAS_NORMALS_TORCH_10_1000_300_True              1216            1330            412
      FACE_AREAS_NORMALS_TORCH_10_1000_3000_False          239907          241253              3
      FACE_AREAS_NORMALS_TORCH_10_1000_3000_True             1226            1333            408
      FACE_AREAS_NORMALS_TORCH_32_100_300_False             73991           75776              7
      FACE_AREAS_NORMALS_TORCH_32_100_300_True               1193            1339            420
      FACE_AREAS_NORMALS_TORCH_32_100_3000_False           728932          728932              1
      FACE_AREAS_NORMALS_TORCH_32_100_3000_True              1186            1359            422
      FACE_AREAS_NORMALS_TORCH_32_1000_300_False            76385           79129              7
      FACE_AREAS_NORMALS_TORCH_32_1000_300_True              1165            1310            430
      FACE_AREAS_NORMALS_TORCH_32_1000_3000_False          753276          753276              1
      FACE_AREAS_NORMALS_TORCH_32_1000_3000_True             1205            1340            415
      --------------------------------------------------------------------------------
      ```
      
      Reviewed By: bottler, jcjohnson
      
      Differential Revision: D19864385
      
      fbshipit-source-id: 3a87ae41a8e3ab5560febcb94961798f2e09dfb8
      29cd181a