opencv/modules/dnn/src/vkcom/shader/conv.comp

#version 450
#define LOCAL_SZ_X 256
layout(binding = 0) readonly buffer Input0{
    float image_data[];
};
layout(binding = 1) readonly buffer Input1 {
    float bias_data[];
};
layout(binding = 2) readonly buffer Input3{
    float weight_data[];
};
layout(binding = 3) writeonly buffer Output{
    float convolved_image_data[];
};

layout(push_constant) uniform pushBlock {
    int in_h;
    int in_w;
    int out_h;
    int out_w;
    int stride_h;
    int stride_w;
    int pad_h;
    int pad_w;
    int filter_h;
    int filter_w;
    int dilation_h;
    int dilation_w;
    int channels;
    int batch;
    int has_bias;
    int M;
    int K;
    int N;
} p;

layout(local_size_x = LOCAL_SZ_X, local_size_y = 1, local_size_z = 1) in;
void main()
{
    int gx = int(gl_GlobalInvocationID.x);
    int gy = int(gl_GlobalInvocationID.y);
    int gz = int(gl_GlobalInvocationID.z);
    if(gx < p.M && gy < p.N && gz < p.batch)
    {
        float sum = 0.0f;
        int output_y = gx / p.out_w;
        int output_x = gx % p.out_w;
        int org_y = output_y * p.stride_h - p.pad_h;
        int org_x = output_x * p.stride_w - p.pad_w;
        int weight_off = gy * p.K;
        int input_off = gz * p.in_h * p.in_w * p.channels + (org_y * p.in_w + org_x);
        for(int c = 0; c < p.channels; c++)
        {
            for(int y = 0; y < p.filter_h; y++)
            {
                for(int x = 0; x < p.filter_w; x++)
                {
                    if((org_y + y * p.dilation_h >= 0) && (org_y + y * p.dilation_h < p.in_h) && (org_x + x * p.dilation_w >= 0) && (org_x + x * p.dilation_w < p.in_w))
                    {
                        sum += image_data[input_off + x * p.dilation_w] * weight_data[weight_off + x];
                    }
                }
                input_off += p.in_w * p.dilation_h;
                weight_off += p.filter_w;
            }
            input_off += p.in_h * p.in_w - p.in_w * p.filter_h * p.dilation_h;
        }
        int offset = gz * p.M * p.N + gx  + gy * p.M;
        if (p.has_bias == 1)
            sum += bias_data[gy];
        convolved_image_data[offset] = sum;
    }
}