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ncnn
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Complexity
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Issues
A
tools\pnnx\src\pass_ncnn\torch_squeeze.cpp
16 1 -
A
src\layer\x86\convolution_1x1.h
16 1 2
A
src\layer\x86\gridsample_nearest_apply_interpolation.h
16 1 -
A
src\layer\x86\instancenorm_bf16s.h
16 1 -
A
src\layer\arm\interp_bilinear_pack4_fp16s.h
16 1 -
A
src\layer\x86\rotaryembed_bf16s.h
16 1 1
A
src\layer\x86\yolov3detectionoutput_x86.cpp
16 1 2
A
tests\test_convolution1d.cpp
16 1 -
A
tests\test_einsum.cpp
16 1 -
A
tests\test_tile.cpp
16 1 -
A
src\layer\arm\convolution_3x3_pack8_fp16s.h
16 1 5
A
tools\pnnx\src\pass_level1\nn_LSTM.cpp
16 1 -
F
src\layer\arm\convolution_5x5_pack4.h
16 1 32
A
python\ncnn\model_zoo\fasterrcnn.py
16 1 3
A
tools\pnnx\src\pass_level2\F_grid_sample.cpp
16 1 -
A
src\layer\riscv\interp_bilinear_packn_fp16s.h
16 1 -
A
python\ncnn\model_zoo\rfcn.py
16 1 3
A
src\layer\arm\convolutiondepthwise_3x3.h
17 1 4
A
src\layer\arm\convolutiondepthwise_5x5.h
17 1 8
A
tools\pnnx\src\pass_level5\eliminate_dropout.cpp
17 1 1