grid_sample: support bfloat16 #112331
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grid_sample: support bfloat16 #112331
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/112331
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 7313299 with merge base a380bf3 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This adds bfloat16 support to `torch.nn.functional.grid_sample` this is particularly important when doing feature sampling such as for rendering techniques used in PyTorch3d or for camera projections to voxel grids such as in SimpleBEV. Related to pytorch#57707 Test plan: ``` pytest test/test_nn.py -k grid_sample pytest test/test_ops.py -k grid_sample ``` Pull Request resolved: pytorch#112331 Approved by: https://github.com/zou3519
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This adds bfloat16 support to `torch.nn.functional.grid_sample` this is particularly important when doing feature sampling such as for rendering techniques used in PyTorch3d or for camera projections to voxel grids such as in SimpleBEV. Related to pytorch#57707 Test plan: ``` pytest test/test_nn.py -k grid_sample pytest test/test_ops.py -k grid_sample ``` Pull Request resolved: pytorch#112331 Approved by: https://github.com/zou3519
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This adds bfloat16 support to
torch.nn.functional.grid_samplethis is particularly important when doing feature sampling such as for rendering techniques used in PyTorch3d or for camera projections to voxel grids such as in SimpleBEV.Related to #57707
Test plan: