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  1. 31 Aug, 2021 1 commit
    • Jeremy Reizenstein's avatar
      Use sample_pdf from PyTorch3D in NeRF · 12514463
      Jeremy Reizenstein authored 
      Summary:
Use PyTorch3D's new faster sample_pdf function instead of local Python implementation.

Also clarify deps for the Python implementation.

Reviewed By: gkioxari

Differential Revision: D30512109

fbshipit-source-id: 84cfdc00313fada37a6b29837de96f6a4646434f
      12514463
  3. 17 Aug, 2021 2 commits
    • Jeremy Reizenstein's avatar
      sample_pdf CUDA and C++ implementations. · 1ea2b727
      Jeremy Reizenstein authored 
      Summary: Implement the sample_pdf function from the NeRF project as compiled operators.. The binary search (in searchsorted) is replaced with a low tech linear search, but this is not a problem for the envisaged numbers of bins.

Reviewed By: gkioxari

Differential Revision: D26312535

fbshipit-source-id: df1c3119cd63d944380ed1b2657b6ad81d743e49
      1ea2b727
    • Jeremy Reizenstein's avatar
      Move sample_pdf into PyTorch3D · 7d7d00f2
      Jeremy Reizenstein authored 
      Summary: Copy the sample_pdf operation from the NeRF project in to PyTorch3D, in preparation for optimizing it.

Reviewed By: gkioxari

Differential Revision: D27117930

fbshipit-source-id: 20286b007f589a4c4d53ed818c4bc5f2abd22833
      7d7d00f2