ncnn/tests/test_slice.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/slice.h"
#include "testutil.h"

static ncnn::Mat IntArrayMat(int a0)
{
    ncnn::Mat m(1);
    int* p = m;
    p[0] = a0;
    return m;
}

static ncnn::Mat IntArrayMat(int a0, int a1)
{
    ncnn::Mat m(2);
    int* p = m;
    p[0] = a0;
    p[1] = a1;
    return m;
}

static ncnn::Mat IntArrayMat(int a0, int a1, int a2)
{
    ncnn::Mat m(3);
    int* p = m;
    p[0] = a0;
    p[1] = a1;
    p[2] = a2;
    return m;
}

static void print_int_array(const ncnn::Mat& a)
{
    const int* pa = a;

    fprintf(stderr, "[");
    for (int i = 0; i < a.w; i++)
    {
        fprintf(stderr, " %d", pa[i]);
    }
    fprintf(stderr, " ]");
}

static int test_slice(const ncnn::Mat& a, const ncnn::Mat& slices, int axis)
{
    ncnn::ParamDict pd;
    pd.set(0, slices);
    pd.set(1, axis);

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

    ncnn::Option opt;
    opt.num_threads = 1;
    opt.use_vulkan_compute = true;
    opt.use_int8_inference = false;

    std::vector<ncnn::Mat> a0(1);
    a0[0] = a;

    int ret = test_layer<ncnn::Slice>("Slice", pd, weights, opt, a0, slices.w);
    if (ret != 0)
    {
        fprintf(stderr, "test_slice failed a.dims=%d a=(%d %d %d)", a.dims, a.w, a.h, a.c);
        fprintf(stderr, " slices=");
        print_int_array(slices);
        fprintf(stderr, " axis=%d\n", axis);
    }

    return ret;
}

static int test_slice_0()
{
    ncnn::Mat a = RandomMat(48, 36, 24);

    return 0
           || test_slice(a, IntArrayMat(-233, -233, -233), 0)
           || test_slice(a, IntArrayMat(-233, -233, -233), 1)
           || test_slice(a, IntArrayMat(-233, -233, -233), 2);
}

static int test_slice_1()
{
    ncnn::Mat a = RandomMat(7, 3, 16);

    return test_slice(a, IntArrayMat(3, 8, -233), 0);
}

static int test_slice_2()
{
    ncnn::Mat a = RandomMat(7, 16, 2);
    ncnn::Mat b = RandomMat(7, 16, 24);

    return 0
           || test_slice(a, IntArrayMat(3, 8, -233), 1)
           || test_slice(b, IntArrayMat(3, 8, 5), 1);
}

static int test_slice_3()
{
    ncnn::Mat a = RandomMat(16, 7, 2);
    ncnn::Mat b = RandomMat(16, 7, 8);

    return 0
           || test_slice(a, IntArrayMat(5, 4, 7), 2)
           || test_slice(b, IntArrayMat(5, 4, 7), 2);
}

static int test_slice_4()
{
    ncnn::Mat a = RandomMat(7, 16);
    ncnn::Mat b = RandomMat(16, 2);
    ncnn::Mat c = RandomMat(16, 8);

    return 0
           || test_slice(a, IntArrayMat(3, 8, 5), 0)
           || test_slice(b, IntArrayMat(3, -233, -233), 1)
           || test_slice(c, IntArrayMat(3, 8, 5), 1);
}

static int test_slice_5()
{
    ncnn::Mat a = RandomMat(16);
    ncnn::Mat b = RandomMat(24);

    return 0
           || test_slice(a, IntArrayMat(3, 8, 5), 0)
           || test_slice(b, IntArrayMat(4, 8, -233), 0);
}

int main()
{
    SRAND(7767517);

    return 0
           || test_slice_0()
           || test_slice_1()
           || test_slice_2()
           || test_slice_3()
           || test_slice_4()
           || test_slice_5();
}