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Link to original content: http://github.com/Tencent/ncnn/issues
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1,059 Open 2,501 Closed
1,059 Open 2,501 Closed
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Issues list

有一些算子不支持
#5812 opened Dec 3, 2024 by HongFaWan
pnnx转换模型生成的ncnn模型shape不对，pnnx模型shape正确
#5810 opened Dec 3, 2024 by terrencew
1
layer ReduceL2 not exists or registered
#5808 opened Nov 29, 2024 by YYY7C
新手求解，用pnnx把yolov10从torchscript模型转到ncnn模型时算子不支持
#5803 opened Nov 28, 2024 by emptyery
3
不支持index_select算子
#5802 opened Nov 27, 2024 by qingyang-jiandao
编译的hmos版本的静态库在使用时报错neither ET_REL nor LLVM bitcode
#5801 opened Nov 27, 2024 by ahaha4321
pnnx.py and ncnn.py for resnet18 has a slight different final outputs
#5800 opened Nov 26, 2024 by Bing1002
float16 溢出问题
#5799 opened Nov 26, 2024 by qingyang-jiandao
2
谁有yolov8系列的Classification，segment，pose，obb。
#5798 opened Nov 25, 2024 by mingtianquan
Version differences result in different running outcomes
#5797 opened Nov 25, 2024 by HongFaWan
自己训练的模型yolo11导出ncnn格式文件后，部署在安卓上闪退；而官方自带导出后能正常运行，可能是什么问题呢？
#5795 opened Nov 25, 2024 by tianqi0072600
2
Successfuly run with pnnx, but failed with nccn inference.
#5792 opened Nov 25, 2024 by zengjie617789
Resnet50 not working
#5790 opened Nov 22, 2024 by xalteropsx
1
yolov5转.torchscript通过PNNX转ncnn，华为，小米手机输出结果正常，一加AcePro，识别错误。但是一加采用同模型的onnx推理结果正确的
#5785 opened Nov 21, 2024 by wyb222333
1
onnx转换出错
#5783 opened Nov 20, 2024 by q2547978337
python setup failing
#5782 opened Nov 19, 2024 by xalteropsx
use reID on android
#5780 opened Nov 18, 2024 by Edward-YS
求助：yolo11直接导出的ncnn模型，example代码推理乱框
#5775 opened Nov 13, 2024 by dixiatielu
1
android fp16 use_fp16_arithmetic=true精度下降严重
#5771 opened Nov 8, 2024 by cbingdu
1
现在onnx模型怎么转化为ncnn模型呢？
#5770 opened Nov 8, 2024 by HDL199411
1
求助：从pth转为ncnn模型，推理出来的结果不一样
#5768 opened Nov 7, 2024 by zengweigit
2
缺少torch.einsum("ijm,imkl->ijkl", v_920, v_486)支持
#5766 opened Nov 6, 2024 by Baiyuetribe
rtdetr-l转ncnn
#5765 opened Nov 5, 2024 by x825196964
1
PNNX转换fastspeech2的onnx模型报错
#5758 opened Oct 24, 2024 by qweasdzxcvde
2
安卓，多次运行deeplabv3 分割模型，结果不一致。
#5757 opened Oct 24, 2024 by zhaoyk1986
4
ProTip! Exclude everything labeled bug with -label:bug.