// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2021 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 "testutil.h" #define OP_TYPE_MAX 11 static int op_type = 0; static std::vector IntArray(int a0) { std::vector m(1); m[0] = a0; return m; } static std::vector IntArray(int a0, int a1) { std::vector m(2); m[0] = a0; m[1] = a1; return m; } static std::vector IntArray(int a0, int a1, int a2) { std::vector m(3); m[0] = a0; m[1] = a1; m[2] = a2; return m; } static std::vector IntArray(int a0, int a1, int a2, int a3) { std::vector m(4); m[0] = a0; m[1] = a1; m[2] = a2; m[3] = a3; return m; } static void print_int_array(const std::vector& a) { fprintf(stderr, "["); for (size_t i = 0; i < a.size(); i++) { fprintf(stderr, " %d", a[i]); } fprintf(stderr, " ]"); } static int test_reduction(const ncnn::Mat& _a, float coeff, int keepdims) { ncnn::Mat a = _a; if (op_type == 9 || op_type == 10) { // value must be positive for logsum and logsumexp Randomize(a, 0.001f, 2.f); } ncnn::ParamDict pd; pd.set(0, op_type); pd.set(1, 1); // reduce_all pd.set(2, coeff); pd.set(4, keepdims); std::vector weights(0); int ret = test_layer("Reduction", pd, weights, a); if (ret != 0) { fprintf(stderr, "test_reduction failed a.dims=%d a=(%d %d %d %d) op_type=%d coeff=%f keepdims=%d reduce_all=1\n", a.dims, a.w, a.h, a.d, a.c, op_type, coeff, keepdims); } return ret; } static int test_reduction(const ncnn::Mat& _a, float coeff, int keepdims, const std::vector& axes_array) { ncnn::Mat a = _a; if (op_type == 9 || op_type == 10) { // value must be positive for logsum and logsumexp Randomize(a, 0.001f, 2.f); } ncnn::Mat axes(axes_array.size()); { int* p = axes; for (size_t i = 0; i < axes_array.size(); i++) { p[i] = axes_array[i]; } } ncnn::ParamDict pd; pd.set(0, op_type); pd.set(1, 0); // reduce_all pd.set(2, coeff); pd.set(3, axes); pd.set(4, keepdims); pd.set(5, 1); // fixbug0 std::vector weights(0); int ret = test_layer("Reduction", pd, weights, a); if (ret != 0) { fprintf(stderr, "test_reduction failed a.dims=%d a=(%d %d %d %d) op_type=%d coeff=%f keepdims=%d", a.dims, a.w, a.h, a.d, a.c, op_type, coeff, keepdims); fprintf(stderr, " axes="); print_int_array(axes_array); fprintf(stderr, "\n"); } return ret; } static int test_reduction_nd(const ncnn::Mat& a) { int ret1 = 0 || test_reduction(a, 1.f, 0) || test_reduction(a, 2.f, 0) || test_reduction(a, 1.f, 1) || test_reduction(a, 2.f, 1) || test_reduction(a, 1.f, 0, IntArray(0)) || test_reduction(a, 1.f, 1, IntArray(0)); if (a.dims == 1 || ret1 != 0) return ret1; int ret2 = 0 || test_reduction(a, 2.f, 0, IntArray(1)) || test_reduction(a, 2.f, 1, IntArray(1)) || test_reduction(a, 1.f, 0, IntArray(0, 1)) || test_reduction(a, 1.f, 1, IntArray(0, 1)); if (a.dims == 2 || ret2 != 0) return ret2; int ret3 = 0 || test_reduction(a, 1.f, 0, IntArray(2)) || test_reduction(a, 1.f, 1, IntArray(2)) || test_reduction(a, 2.f, 0, IntArray(0, 2)) || test_reduction(a, 2.f, 0, IntArray(1, 2)) || test_reduction(a, 2.f, 1, IntArray(0, 2)) || test_reduction(a, 2.f, 1, IntArray(1, 2)) || test_reduction(a, 1.f, 0, IntArray(0, 1, 2)) || test_reduction(a, 1.f, 1, IntArray(0, 1, 2)); if (a.dims == 3 || ret3 != 0) return ret3; int ret4 = 0 || test_reduction(a, 2.f, 0, IntArray(3)) || test_reduction(a, 2.f, 1, IntArray(3)) || test_reduction(a, 1.f, 0, IntArray(0, 3)) || test_reduction(a, 1.f, 0, IntArray(1, 3)) || test_reduction(a, 2.f, 0, IntArray(2, 3)) || test_reduction(a, 1.f, 1, IntArray(0, 3)) || test_reduction(a, 1.f, 1, IntArray(1, 3)) || test_reduction(a, 2.f, 1, IntArray(2, 3)) || test_reduction(a, 2.f, 0, IntArray(0, 1, 3)) || test_reduction(a, 1.f, 0, IntArray(0, 2, 3)) || test_reduction(a, 2.f, 0, IntArray(1, 2, 3)) || test_reduction(a, 2.f, 1, IntArray(0, 1, 3)) || test_reduction(a, 1.f, 1, IntArray(0, 2, 3)) || test_reduction(a, 2.f, 1, IntArray(1, 2, 3)) || test_reduction(a, 1.f, 0, IntArray(0, 1, 2, 3)) || test_reduction(a, 1.f, 1, IntArray(0, 1, 2, 3)); return ret4; } static int test_reduction_0() { ncnn::Mat a = RandomMat(5, 6, 7, 24); ncnn::Mat b = RandomMat(7, 8, 9, 12); ncnn::Mat c = RandomMat(3, 4, 5, 13); return 0 || test_reduction_nd(a) || test_reduction_nd(b) || test_reduction_nd(c); } static int test_reduction_1() { ncnn::Mat a = RandomMat(5, 7, 24); ncnn::Mat b = RandomMat(7, 9, 12); ncnn::Mat c = RandomMat(3, 5, 13); return 0 || test_reduction_nd(a) || test_reduction_nd(b) || test_reduction_nd(c); } static int test_reduction_2() { ncnn::Mat a = RandomMat(15, 24); ncnn::Mat b = RandomMat(17, 12); ncnn::Mat c = RandomMat(19, 15); return 0 || test_reduction_nd(a) || test_reduction_nd(b) || test_reduction_nd(c); } static int test_reduction_3() { ncnn::Mat a = RandomMat(128); ncnn::Mat b = RandomMat(124); ncnn::Mat c = RandomMat(127); return 0 || test_reduction_nd(a) || test_reduction_nd(b) || test_reduction_nd(c); } int main() { SRAND(7767517); for (op_type = 0; op_type < OP_TYPE_MAX; op_type++) { int ret = 0 || test_reduction_0() || test_reduction_1() || test_reduction_2() || test_reduction_3(); if (ret != 0) return ret; } return 0; }