ncnn/tests/test_gemm.cpp

// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.

#include "layer/gemm.h"
#include "testutil.h"

static int test_gemm(int M, int N, int K, float alpha, int transA, int transB, int output_N1M = 0)
{
    ncnn::ParamDict pd;
    pd.set(0, alpha);
    pd.set(1, 1.f); // beta
    pd.set(2, transA);
    pd.set(3, transB);
    pd.set(11, output_N1M);

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

    std::vector<ncnn::Mat> a(2);
    if (output_N1M)
    {
        a[0] = transA ? ncnn::Mat(M, 1, K) : ncnn::Mat(K, 1, M);
        a[1] = transB ? ncnn::Mat(K, 1, N) : ncnn::Mat(N, 1, K);
    }
    else
    {
        a[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
        a[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);
    }

    Randomize(a[0]);
    Randomize(a[1]);

    int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
    if (ret != 0)
    {
        fprintf(stderr, "test_gemm failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d output_N1M=%d\n", M, N, K, alpha, transA, transB, output_N1M);
    }

    return ret;
}

static int test_gemm_constantA(int M, int N, int K, float alpha, int transA, int transB)
{
    ncnn::ParamDict pd;
    pd.set(0, alpha);
    pd.set(1, 1.f); // beta
    pd.set(2, transA);
    pd.set(3, transB);

    pd.set(4, 1);
    pd.set(5, 0);
    pd.set(6, 1);
    pd.set(7, M);
    pd.set(8, N);
    pd.set(9, K);
    pd.set(10, -1);

    std::vector<ncnn::Mat> weights(1);
    weights[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);

    ncnn::Mat B = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);

    Randomize(weights[0]);
    Randomize(B);

    int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, B);
    if (ret != 0)
    {
        fprintf(stderr, "test_gemm_constantA failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d\n", M, N, K, alpha, transA, transB);
    }

    return ret;
}

static int test_gemm_constantB(int M, int N, int K, float alpha, int transA, int transB)
{
    ncnn::ParamDict pd;
    pd.set(0, alpha);
    pd.set(1, 1.f); // beta
    pd.set(2, transA);
    pd.set(3, transB);

    pd.set(4, 0);
    pd.set(5, 1);
    pd.set(6, 1);
    pd.set(7, M);
    pd.set(8, N);
    pd.set(9, K);
    pd.set(10, -1);

    std::vector<ncnn::Mat> weights(1);
    weights[0] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);

    ncnn::Mat A = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);

    Randomize(weights[0]);
    Randomize(A);

    int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, A);
    if (ret != 0)
    {
        fprintf(stderr, "test_gemm_constantB failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d\n", M, N, K, alpha, transA, transB);
    }

    return ret;
}

static int test_gemm_constantAB(int M, int N, int K, float alpha, int transA, int transB)
{
    ncnn::ParamDict pd;
    pd.set(0, alpha);
    pd.set(1, 1.f); // beta
    pd.set(2, transA);
    pd.set(3, transB);

    pd.set(4, 1);
    pd.set(5, 1);
    pd.set(6, 1);
    pd.set(7, M);
    pd.set(8, N);
    pd.set(9, K);
    pd.set(10, -1);

    std::vector<ncnn::Mat> weights(2);
    weights[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
    weights[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);

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

    Randomize(weights[0]);
    Randomize(weights[1]);

    int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
    if (ret != 0)
    {
        fprintf(stderr, "test_gemm_constantAB failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d\n", M, N, K, alpha, transA, transB);
    }

    return ret;
}

static int test_gemm_bias(int M, int N, int K, const ncnn::Mat& C, float alpha, float beta, int transA, int transB)
{
    ncnn::ParamDict pd;
    pd.set(0, alpha);
    pd.set(1, beta);
    pd.set(2, transA);
    pd.set(3, transB);

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

    std::vector<ncnn::Mat> a(3);
    a[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
    a[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);
    a[2] = C;

    Randomize(a[0]);
    Randomize(a[1]);

    int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
    if (ret != 0)
    {
        fprintf(stderr, "test_gemm_bias failed M=%d N=%d K=%d C.dims=%d C=(%d %d %d) alpha=%f beta=%f transA=%d transB=%d\n", M, N, K, C.dims, C.w, C.h, C.c, alpha, beta, transA, transB);
    }

    return ret;
}

static int test_gemm_constantABC_bias(int M, int N, int K, const ncnn::Mat& C, float alpha, float beta, int transA, int transB)
{
    int broadcast_type_C = 0;
    if (C.dims == 1 && C.w == 1)
    {
        // scalar
        broadcast_type_C = 0;
    }
    if (C.dims == 1 && C.w == M)
    {
        // M
        // auto broadcast from h to w is the ncnn-style convention
        broadcast_type_C = 1;
    }
    if (C.dims == 1 && C.w == N)
    {
        // N
        broadcast_type_C = 4;
    }
    if (C.dims == 2 && C.w == 1 && C.h == M)
    {
        // Mx1
        broadcast_type_C = 2;
    }
    if (C.dims == 2 && C.w == N && C.h == M)
    {
        // MxN
        broadcast_type_C = 3;
    }
    if (C.dims == 2 && C.w == N && C.h == 1)
    {
        // 1xN
        broadcast_type_C = 4;
    }

    ncnn::ParamDict pd;
    pd.set(0, alpha);
    pd.set(1, 1.f); // beta
    pd.set(2, transA);
    pd.set(3, transB);

    pd.set(4, 1);
    pd.set(5, 1);
    pd.set(6, 1);
    pd.set(7, M);
    pd.set(8, N);
    pd.set(9, K);
    pd.set(10, broadcast_type_C);

    std::vector<ncnn::Mat> weights(3);
    weights[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
    weights[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);
    weights[2] = C;

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

    Randomize(weights[0]);
    Randomize(weights[1]);
    Randomize(weights[2]);

    int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
    if (ret != 0)
    {
        fprintf(stderr, "test_gemm_constantABC_bias failed M=%d N=%d K=%d C.dims=%d C=(%d %d %d) broadcast_type_C=%d alpha=%f beta=%f transA=%d transB=%d\n", M, N, K, C.dims, C.w, C.h, C.c, broadcast_type_C, alpha, beta, transA, transB);
    }

    return ret;
}

static int test_gemm_constantAB_bias(int M, int N, int K, const ncnn::Mat& C, float alpha, float beta, int transA, int transB)
{
    ncnn::ParamDict pd;
    pd.set(0, alpha);
    pd.set(1, 1.f); // beta
    pd.set(2, transA);
    pd.set(3, transB);

    pd.set(4, 1);
    pd.set(5, 1);
    pd.set(6, 0);
    pd.set(7, M);
    pd.set(8, N);
    pd.set(9, K);

    std::vector<ncnn::Mat> weights(2);
    weights[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
    weights[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);

    std::vector<ncnn::Mat> a(1);
    a[0] = C;

    Randomize(weights[0]);
    Randomize(weights[1]);
    Randomize(a[0]);

    int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
    if (ret != 0)
    {
        fprintf(stderr, "test_gemm_constantAB_bias failed M=%d N=%d K=%d C.dims=%d C=(%d %d %d) alpha=%f beta=%f transA=%d transB=%d\n", M, N, K, C.dims, C.w, C.h, C.c, alpha, beta, transA, transB);
    }

    return ret;
}

static int test_gemm_0(int M, int N, int K)
{
    return 0
           || test_gemm(M, N, K, 2.1f, 0, 0)
           || test_gemm(M, N, K, 3.1f, 0, 1)
           || test_gemm(M, N, K, 4.1f, 1, 0)
           || test_gemm(M, N, K, 5.1f, 1, 1)

           || test_gemm(M, N, K, 1.7f, 0, 1, 1)
           || test_gemm(M, N, K, 1.7f, 1, 1, 1)
           || test_gemm(M, N, K, 1.9f, 0, 0, 1)
           || test_gemm(M, N, K, 1.9f, 1, 0, 1)

           || test_gemm_constantA(M, N, K, 2.1f, 0, 0)
           || test_gemm_constantA(M, N, K, 3.1f, 0, 1)
           || test_gemm_constantA(M, N, K, 4.1f, 1, 0)
           || test_gemm_constantA(M, N, K, 5.1f, 1, 1)

           || test_gemm_constantB(M, N, K, 2.1f, 0, 0)
           || test_gemm_constantB(M, N, K, 3.1f, 0, 1)
           || test_gemm_constantB(M, N, K, 4.1f, 1, 0)
           || test_gemm_constantB(M, N, K, 5.1f, 1, 1)

           || test_gemm_constantAB(M, N, K, 2.1f, 0, 0)
           || test_gemm_constantAB(M, N, K, 3.1f, 0, 1)
           || test_gemm_constantAB(M, N, K, 4.1f, 1, 0)
           || test_gemm_constantAB(M, N, K, 5.1f, 1, 1);
}

static int test_gemm_1(int M, int N, int K)
{
    return 0
           || test_gemm_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0)
           || test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1)
           || test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0)
           || test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1)
           || test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0)
           || test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1);
}

static int test_gemm_2(int M, int N, int K)
{
    return 0
           || test_gemm_constantABC_bias(M, N, K, RandomMat(1), 4.1f, 0.7f, 1, 0)
           || test_gemm_constantABC_bias(M, N, K, RandomMat(M), 5.1f, 0.8f, 1, 1)
           || test_gemm_constantABC_bias(M, N, K, RandomMat(1, M), 2.1f, 0.5f, 0, 0)
           || test_gemm_constantABC_bias(M, N, K, RandomMat(N, M), 3.1f, 0.6f, 0, 1)
           || test_gemm_constantABC_bias(M, N, K, RandomMat(N, 1), 4.1f, 0.7f, 1, 0)
           || test_gemm_constantABC_bias(M, N, K, RandomMat(N), 5.1f, 0.8f, 1, 1);
}

static int test_gemm_3(int M, int N, int K)
{
    return 0
           || test_gemm_constantAB_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0)
           || test_gemm_constantAB_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1)
           || test_gemm_constantAB_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0)
           || test_gemm_constantAB_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1)
           || test_gemm_constantAB_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0)
           || test_gemm_constantAB_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1);
}

int main()
{
    SRAND(7767517);

    int mnk[][3] = {
        {1, 1, 1},
        {2, 2, 2},
        {3, 3, 3},
        {4, 4, 4},
        {5, 5, 5},
        {6, 6, 6},
        {7, 7, 7},
        {8, 8, 8},
        {15, 15, 15},
        {16, 16, 16},
        {31, 31, 31},
        {40, 40, 40},
        {1, 1, 23},
        {1, 31, 1},
        {23, 1, 1},
        {12, 12, 23},
        {12, 31, 12},
        {23, 12, 12},
        {1, 1, 47},
        {1, 35, 1},
        {47, 1, 1},
        {24, 24, 47},
        {24, 35, 24},
        {47, 24, 24},
        {1, 35, 47},
        {23, 31, 1},
        {23, 1, 23},
        {23, 31, 23},
        {31, 7, 3},
        {28, 20, 7},
        {32, 32, 9},
        {44, 19, 7},
        {47, 35, 48},
        {47, 48, 47},
        {48, 35, 47},
        {25, 25, 527},
        {30, 30, 527},
        {28, 28, 527},
        {40, 40, 527},
        {64, 64, 527}
    };

    int mnk_count = sizeof(mnk) / sizeof(int) / 3;

    for (int i = 0; i < mnk_count; i++)
    {
        int M = mnk[i][0];
        int N = mnk[i][1];
        int K = mnk[i][2];

        int ret = 0
                  || test_gemm_0(M, N, K)
                  || test_gemm_1(M, N, K)
                  || test_gemm_2(M, N, K)
                  || test_gemm_3(M, N, K);

        if (ret != 0)
            return 0;
    }

    return 0;
}