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add custom layer.zh
wiki-sync-bot edited this page Dec 4, 2024
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1 revision
这里举个例子添加自定义层次 如Relu6,即 std::min(6.f, std::max(0.f, val))
Input input 0 1 input
Convolution conv2d 1 1 input conv2d 0=32 1=1 2=1 3=1 4=0 5=0 6=768
Relu6 relu6 1 1 conv2d relu6
Pooling maxpool 1 1 relu6 maxpool 0=0 1=3 2=2 3=-233 4=0
#ifndef LAYER_RELU6_H
#define LAYER_RELU6_H
#include "layer.h"
namespace ncnn {
class Relu6 : public Layer
{
public:
Relu6();
virtual int forward_inplace(Mat& bottom_top_blob, const Option& opt) const;
};
} // namespace ncnn
#endif // LAYER_RELU6_H
#include "relu6.h"
#include <math.h>
namespace ncnn {
Relu6::Relu6()
{
one_blob_only = true;
support_inplace = true;
}
int Relu6::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
{
int w = bottom_top_blob.w;
int h = bottom_top_blob.h;
int channels = bottom_top_blob.c;
int size = w * h;
#pragma omp parallel for num_threads(opt.num_threads)
for (int q=0; q < channels; q++)
{
float* ptr = bottom_top_blob.channel(q);
for (int i=0; i<size; i++)
{
ptr[i] = std::min(6.f, std::max(0.f, ptr[i]));
}
}
return 0;
}
} // namespace ncnn
ncnn_add_layer(GroupNorm)
ncnn_add_layer(LayerNorm)
ncnn_add_layer(Relu6)
#include "layer/relu6.h"
#include "testutil.h"
static int test_relu6(const ncnn::Mat& a)
{
ncnn::ParamDict pd;
std::vector<ncnn::Mat> weights(0);
int ret = test_layer<ncnn::Relu6>("Relu6", pd, weights, a);
if (ret != 0)
{
fprintf(stderr, "test_relu6 failed a.dims=%d a=(%d %d %d)\n", a.dims, a.w, a.h, a.c);
}
return ret;
}
static int test_relu6_0()
{
return 0
|| test_relu6(RandomMat(5, 7, 24))
|| test_relu6(RandomMat(7, 9, 12))
|| test_relu6(RandomMat(3, 5, 13));
}
static int test_relu6_1()
{
return 0
|| test_relu6(RandomMat(15, 24))
|| test_relu6(RandomMat(17, 12))
|| test_relu6(RandomMat(19, 15));
}
static int test_relu6_2()
{
return 0
|| test_relu6(RandomMat(128))
|| test_relu6(RandomMat(124))
|| test_relu6(RandomMat(127));
}
int main()
{
SRAND(7767517);
return 0
|| test_relu6_0()
|| test_relu6_1()
|| test_relu6_2();
}
ncnn_add_layer_test(LSTM)
ncnn_add_layer_test(Yolov3DetectionOutput)
ncnn_add_layer_test(Relu6)
按原NCNN步骤编译
./test_relu6