Files
ncnn/tests/test_crop.cpp
T
nihui 11cffce114 armv8.2 infrastructure (#1856)
* runtime cpu dispatch

* force thread one

* disable openmp for coverage

* simplify test layer

* print NCNN_TARGET_ARCH

* less ci build variants

* weight fp16 storage option

* test convdw int8

* apple a12 a13

* ncnn_add_layer ncnn_add_shader cmake macro
2020-07-19 19:29:52 +08:00

194 lines
6.3 KiB
C++

// 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/crop.h"
#include "testutil.h"
static int test_crop(const ncnn::Mat& a, int woffset, int hoffset, int coffset, int outw, int outh, int outc, int woffset2, int hoffset2, int coffset2)
{
ncnn::ParamDict pd;
pd.set(0, woffset); // woffset
pd.set(1, hoffset); // hoffset
pd.set(2, coffset); // coffset
pd.set(3, outw); // outw
pd.set(4, outh); // outh
pd.set(5, outc); // outc
pd.set(6, woffset2); // woffset2
pd.set(7, hoffset2); // hoffset2
pd.set(8, coffset2); // coffset2
std::vector<ncnn::Mat> weights(0);
int ret = test_layer<ncnn::Crop>("Crop", pd, weights, a);
if (ret != 0)
{
fprintf(stderr, "test_crop failed a.dims=%d a=(%d %d %d) woffset=%d hoffset=%d coffset=%d outw=%d outh=%d outc=%d woffset2=%d hoffset2=%d coffset2=%d\n", a.dims, a.w, a.h, a.c, woffset, hoffset, coffset, outw, outh, outc, woffset2, hoffset2, coffset2);
}
return ret;
}
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_crop(const ncnn::Mat& a, const ncnn::Mat& starts, const ncnn::Mat& ends, const ncnn::Mat& axes)
{
ncnn::ParamDict pd;
pd.set(9, starts); // starts
pd.set(10, ends); // ends
pd.set(11, axes); // axes
std::vector<ncnn::Mat> weights(0);
int ret = test_layer<ncnn::Crop>("Crop", pd, weights, a);
if (ret != 0)
{
fprintf(stderr, "test_crop failed a.dims=%d a=(%d %d %d)", a.dims, a.w, a.h, a.c);
fprintf(stderr, " starts=");
print_int_array(starts);
fprintf(stderr, " ends=");
print_int_array(ends);
fprintf(stderr, " axes=");
print_int_array(axes);
fprintf(stderr, "\n");
}
return ret;
}
static int test_crop_0()
{
ncnn::Mat a = RandomMat(13, 11, 16);
return 0
|| test_crop(a, 0, 0, 0, -233, -233, -233, 0, 0, 0)
|| test_crop(a, 0, 3, 0, 10, -233, -233, 0, 0, 0)
|| test_crop(a, 5, 0, 0, -233, 6, -233, 0, 0, 0)
|| test_crop(a, 5, 3, 0, -233, -233, 12, 0, 0, 0)
|| test_crop(a, 0, 3, 4, 7, -233, 8, 0, 0, 0)
|| test_crop(a, 5, 0, 5, 4, -233, 4, 0, 0, 0)
|| test_crop(a, 5, 3, 6, 2, 7, 9, 0, 0, 0)
|| test_crop(a, 0, 3, 4, -233, 4, 5, 0, 0, 0)
|| test_crop(a, 5, 0, 5, 6, 6, 8, 0, 0, 0)
|| test_crop(a, 5, 3, 6, 4, 4, 4, 0, 0, 0);
}
static int test_crop_1()
{
ncnn::Mat a = RandomMat(13, 11, 16);
return 0
|| test_crop(a, 0, 0, 0, -233, -233, -233, 3, 4, 6)
|| test_crop(a, 0, 3, 0, 10, -233, -233, 0, 3, 4)
|| test_crop(a, 5, 0, 0, -233, 6, -233, 5, 0, 2)
|| test_crop(a, 5, 3, 0, -233, -233, 12, 2, 1, 1)
|| test_crop(a, 0, 3, 4, 7, -233, 8, 3, 4, 4)
|| test_crop(a, 5, 0, 5, 4, -233, 4, 0, 3, 0)
|| test_crop(a, 5, 3, 6, 2, 7, 9, 1, 2, 3)
|| test_crop(a, 0, 3, 4, -233, 4, 5, 3, 2, 1);
}
static int test_crop_2()
{
ncnn::Mat a = RandomMat(13, 11, 17);
return 0
|| test_crop(a, 0, 0, 0, -233, -233, -233, 3, 4, 6)
|| test_crop(a, 0, 3, 0, 10, -233, -233, 0, 3, 4)
|| test_crop(a, 5, 0, 0, -233, 6, -233, 5, 0, 2)
|| test_crop(a, 5, 3, 0, -233, -233, 12, 2, 1, 1)
|| test_crop(a, 0, 3, 4, 7, -233, 8, 3, 4, 4)
|| test_crop(a, 5, 0, 5, 4, -233, 4, 0, 3, 0)
|| test_crop(a, 5, 3, 6, 2, 7, 9, 1, 2, 3)
|| test_crop(a, 0, 3, 4, -233, 4, 5, 3, 2, 1);
}
static int test_crop_3()
{
ncnn::Mat a = RandomMat(13, 11, 16);
return 0
|| test_crop(a, IntArrayMat(0, 0, 0), IntArrayMat(100, 100, 100), IntArrayMat(0, 1, 2))
|| test_crop(a, IntArrayMat(4), IntArrayMat(8), IntArrayMat(0))
|| test_crop(a, IntArrayMat(2), IntArrayMat(7), IntArrayMat(1))
|| test_crop(a, IntArrayMat(3), IntArrayMat(5), IntArrayMat(2))
|| test_crop(a, IntArrayMat(2, 1), IntArrayMat(4, -2), IntArrayMat(0, 1))
|| test_crop(a, IntArrayMat(1, 4), IntArrayMat(-5, 7), IntArrayMat(1, -3))
|| test_crop(a, IntArrayMat(2, 1), IntArrayMat(4, -2), IntArrayMat(-1, -2))
|| test_crop(a, IntArrayMat(1, 2, 3), IntArrayMat(-3, -2, -1), IntArrayMat(-3, -2, -1));
}
static int test_crop_4()
{
ncnn::Mat a = RandomMat(13, 11, 17);
return 0
|| test_crop(a, IntArrayMat(0, 0, 0), IntArrayMat(100, 100, 100), IntArrayMat(0, 1, 2))
|| test_crop(a, IntArrayMat(4), IntArrayMat(8), IntArrayMat(0))
|| test_crop(a, IntArrayMat(2), IntArrayMat(7), IntArrayMat(1))
|| test_crop(a, IntArrayMat(3), IntArrayMat(5), IntArrayMat(2))
|| test_crop(a, IntArrayMat(2, 1), IntArrayMat(4, -2), IntArrayMat(0, 1))
|| test_crop(a, IntArrayMat(1, 4), IntArrayMat(-5, 7), IntArrayMat(1, -3))
|| test_crop(a, IntArrayMat(2, 1), IntArrayMat(4, -2), IntArrayMat(-1, -2))
|| test_crop(a, IntArrayMat(1, 2, 3), IntArrayMat(-3, -2, -1), IntArrayMat(-3, -2, -1));
}
int main()
{
SRAND(7767517);
return 0
|| test_crop_0()
|| test_crop_1()
|| test_crop_2()
|| test_crop_3()
|| test_crop_4();
}