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Why is inference slower than Detectron?
See original GitHub issue❓ Questions and Help
According to the inference speed from the maskrcnn-benchmark and Detectron, Mask R-CNN with R-101-FPN as backbone is 25% slower (0.15384 VS 0.119). Moreover, V100 is suppose to be 20% faster than P100. Acoording to the results reported in Tensormask, mask rcnn with R-101-fpn backbone runs at 90 ms in V100.
What may be the reason?
Issue Analytics
- State:
- Created 4 years ago
- Comments:7 (5 by maintainers)
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@fmassa, I think the inference time on MODEL_ZOO is not accurate too. The current speed of maskrcnn-benchmark actually is 15~20% faster than it was. I think it is related to this update https://github.com/pytorch/pytorch/pull/13420. For example, the
@chengyangfu definitely, the speedup of indexing brings quite some speedup to inference, and a bit to testing as well.