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CUDA: Handle fusion of conv+eltwise in case of multi-output node (i.e. Split) by dkurt · Pull Request #27326 · opencv/opencv · GitHub
dkurt
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Handle fusion of conv+eltwise in case of multi-output node (i.e. Split)
CUDA: Handle fusion of conv+eltwise in case of multi-output node (i.e. Split)
May 17, 2025
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CUDA: Handle fusion of conv+eltwise in case of multi-output node (i.e. Split) #27326
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asmorkalov
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opencv:4.x
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dkurt:handle_multi_output_eltwise_fusion
May 19, 2025
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CUDA: Handle fusion of conv+eltwise in case of multi-output node (i.e. Split) #27326
asmorkalov
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May 19, 2025
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import numpy as np
import cv2 as cv
net = cv.dnn.readNet("yolo11n.onnx")
inp = np.random.rand(1, 3, 640, 640).astype(np.float32)
net.setInput(inp)
net.setPreferableTarget(cv.dnn.DNN_TARGET_CPU)
ref = net.forward()
net = cv.dnn.readNet("yolo11n.onnx")
net.setInput(inp)
net.setPreferableBackend(cv.dnn.DNN_BACKEND_CUDA)
net.setPreferableTarget(cv.dnn.DNN_TARGET_CUDA)
out = net.forward()
print("ref shape", ref.shape)
print("out shape", out.shape)
print("diff", np.max(np.abs(ref - out)))
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asmorkalov
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May 19, 2025
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Pull Request Readiness Checklist
Enables YOLO11n with CUDA backend
resolves #26566
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
Patch to opencv_extra has the same branch name.