// Copyright 2020 Tencent
// SPDX-License-Identifier: BSD-3-Clause

#include "testutil.h"

static int test_lrn(const ncnn::Mat& a, int region_type, int local_size, float alpha, float beta, float bias)
{
    ncnn::ParamDict pd;
    pd.set(0, region_type);
    pd.set(1, local_size);
    pd.set(2, alpha);
    pd.set(3, beta);
    pd.set(4, bias);

    std::vector<ncnn::Mat> weights(0);

    int ret = test_layer("LRN", pd, weights, a);
    if (ret != 0)
    {
        fprintf(stderr, "test_lrn failed a.dims=%d a=(%d %d %d) region_type=%d local_size=%d alpha=%f beta=%f bias=%f\n", a.dims, a.w, a.h, a.c, region_type, local_size, alpha, beta, bias);
    }

    return ret;
}

static int test_lrn_0()
{
    ncnn::Mat a = RandomMat(11, 7, 12);

    return 0
           || test_lrn(a, 0, 1, 1.f, 0.75f, 1.f)
           || test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f)
           || test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f)
           || test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f);
}

static int test_lrn_1()
{
    ncnn::Mat a = RandomMat(10, 8, 16);

    return 0
           || test_lrn(a, 0, 1, 1.f, 0.75f, 1.f)
           || test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f)
           || test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f)
           || test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f);
}

static int test_lrn_2()
{
    ncnn::Mat a = RandomMat(12, 10, 9);

    return 0
           || test_lrn(a, 0, 1, 1.f, 0.75f, 1.f)
           || test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f)
           || test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f)
           || test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f);
}

int main()
{
    SRAND(7767517);

    return 0
           || test_lrn_0()
           || test_lrn_1()
           || test_lrn_2();
}