cuda4dnn(resize): process multiple channels each iteration#16097
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alalek merged 4 commits intoopencv:masterfrom Dec 9, 2019
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cuda4dnn(resize): process multiple channels each iteration#16097alalek merged 4 commits intoopencv:masterfrom
alalek merged 4 commits intoopencv:masterfrom
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…esize-bilinear cuda4dnn(resize): process multiple channels each iteration * resize bilinear: process multiple chans. per iter. * remove unused headers * correct dispatch logic * resize_nn: process multiple chans. per iter.
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This pullrequest changes
Bilinear resize kernel was compute-heavy. To ease the compute load, the calculations involving spatial dimensions at a location (x, y) can be reused by multiple channels.
Inception v2 MaskRCNN performs bilinear resize on a tensor of 204800 channels. The resize takes around 7.5ms. With this PR, it takes just 3.5ms. That's 2.15x improvement.