// 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 "layer/requantize.h" #include "testutil.h" static int RandomInt(int a = -10000, int b = 10000) { float random = ((float)RAND()) / (float)uint64_t(-1); //RAND_MAX; int diff = b - a; float r = random * diff; return a + (int)r; } static void RandomizeInt(ncnn::Mat& m, int a = -10000, int b = 10000) { for (size_t i = 0; i < m.total(); i++) { ((int*)m)[i] = RandomInt(a, b); } } static ncnn::Mat RandomIntMat(int w) { ncnn::Mat m(w); RandomizeInt(m); return m; } static ncnn::Mat RandomIntMat(int w, int h) { ncnn::Mat m(w, h); RandomizeInt(m); return m; } static ncnn::Mat RandomIntMat(int w, int h, int c) { ncnn::Mat m(w, h, c); RandomizeInt(m); return m; } static int test_requantize(const ncnn::Mat& a, int scale_in_data_size, int scale_out_data_size, int bias_data_size) { ncnn::ParamDict pd; pd.set(0, scale_in_data_size); pd.set(1, scale_out_data_size); pd.set(2, bias_data_size); int activation_type = RAND() % 6; // 0 1 2 3 4 5 ncnn::Mat activation_params(2); activation_params[0] = RandomFloat(-1, 0); // alpha activation_params[1] = RandomFloat(0, 1); // beta pd.set(3, activation_type); pd.set(4, activation_params); std::vector weights(bias_data_size ? 3 : 2); weights[0] = RandomMat(scale_in_data_size); weights[1] = RandomMat(scale_out_data_size); if (bias_data_size) weights[2] = RandomMat(bias_data_size); int flag = TEST_LAYER_DISABLE_AUTO_INPUT_CASTING; int ret = test_layer("Requantize", pd, weights, a, 1, 0, flag); if (ret != 0) { fprintf(stderr, "test_requantize failed a.dims=%d a=(%d %d %d) scale_in_data_size=%d scale_out_data_size=%d bias_data_size=%d act=%d actparams=[%f,%f]\n", a.dims, a.w, a.h, a.c, scale_in_data_size, scale_out_data_size, bias_data_size, activation_type, activation_params[0], activation_params[1]); } return ret; } static int test_requantize_pack8(const ncnn::Mat& a, int scale_in_data_size, int scale_out_data_size, int bias_data_size) { ncnn::ParamDict pd; pd.set(0, scale_in_data_size); pd.set(1, scale_out_data_size); pd.set(2, bias_data_size); int activation_type = RAND() % 6; // 0 1 2 3 4 5 ncnn::Mat activation_params(2); activation_params[0] = RandomFloat(-1, 0); // alpha activation_params[1] = RandomFloat(0, 1); // beta pd.set(3, activation_type); pd.set(4, activation_params); std::vector weights(bias_data_size ? 3 : 2); weights[0] = RandomMat(scale_in_data_size); weights[1] = RandomMat(scale_out_data_size); if (bias_data_size) weights[2] = RandomMat(bias_data_size); int flag = TEST_LAYER_DISABLE_AUTO_INPUT_CASTING | TEST_LAYER_ENABLE_FORCE_INPUT_PACK8; int ret = test_layer("Requantize", pd, weights, a, 1, 0, flag); if (ret != 0) { fprintf(stderr, "test_requantize_pack8 failed a.dims=%d a=(%d %d %d) scale_in_data_size=%d scale_out_data_size=%d bias_data_size=%d act=%d actparams=[%f,%f]\n", a.dims, a.w, a.h, a.c, scale_in_data_size, scale_out_data_size, bias_data_size, activation_type, activation_params[0], activation_params[1]); } return ret; } static int test_requantize_0() { return 0 || test_requantize(RandomIntMat(5, 7, 24), 1, 1, 24) || test_requantize(RandomIntMat(5, 7, 24), 1, 1, 1) || test_requantize(RandomIntMat(5, 7, 24), 1, 1, 0) || test_requantize(RandomIntMat(5, 7, 24), 24, 24, 24) || test_requantize(RandomIntMat(5, 7, 24), 24, 24, 1) || test_requantize(RandomIntMat(5, 7, 24), 24, 24, 0) || test_requantize(RandomIntMat(5, 7, 24), 1, 24, 24) || test_requantize(RandomIntMat(5, 7, 24), 1, 24, 1) || test_requantize(RandomIntMat(5, 7, 24), 1, 24, 0) || test_requantize(RandomIntMat(5, 7, 24), 24, 1, 24) || test_requantize(RandomIntMat(5, 7, 24), 24, 1, 1) || test_requantize(RandomIntMat(5, 7, 24), 24, 1, 0) || test_requantize(RandomIntMat(7, 9, 12), 1, 1, 12) || test_requantize(RandomIntMat(7, 9, 12), 1, 1, 1) || test_requantize(RandomIntMat(7, 9, 12), 1, 1, 0) || test_requantize(RandomIntMat(7, 9, 12), 12, 12, 12) || test_requantize(RandomIntMat(7, 9, 12), 12, 12, 1) || test_requantize(RandomIntMat(7, 9, 12), 12, 12, 0) || test_requantize(RandomIntMat(7, 9, 12), 1, 12, 12) || test_requantize(RandomIntMat(7, 9, 12), 1, 12, 1) || test_requantize(RandomIntMat(7, 9, 12), 1, 12, 0) || test_requantize(RandomIntMat(7, 9, 12), 12, 1, 12) || test_requantize(RandomIntMat(7, 9, 12), 12, 1, 1) || test_requantize(RandomIntMat(7, 9, 12), 12, 1, 0) || test_requantize(RandomIntMat(3, 5, 13), 1, 1, 13) || test_requantize(RandomIntMat(3, 5, 13), 1, 1, 1) || test_requantize(RandomIntMat(3, 5, 13), 1, 1, 0) || test_requantize(RandomIntMat(3, 5, 13), 13, 13, 13) || test_requantize(RandomIntMat(3, 5, 13), 13, 13, 1) || test_requantize(RandomIntMat(3, 5, 13), 13, 13, 0) || test_requantize(RandomIntMat(3, 5, 13), 1, 13, 13) || test_requantize(RandomIntMat(3, 5, 13), 1, 13, 1) || test_requantize(RandomIntMat(3, 5, 13), 1, 13, 0) || test_requantize(RandomIntMat(3, 5, 13), 13, 1, 13) || test_requantize(RandomIntMat(3, 5, 13), 13, 1, 1) || test_requantize(RandomIntMat(3, 5, 13), 13, 1, 0); } static int test_requantize_1() { return 0 || test_requantize(RandomIntMat(15, 24), 1, 1, 24) || test_requantize(RandomIntMat(15, 24), 1, 1, 1) || test_requantize(RandomIntMat(15, 24), 1, 1, 0) || test_requantize(RandomIntMat(15, 24), 24, 24, 24) || test_requantize(RandomIntMat(15, 24), 24, 24, 1) || test_requantize(RandomIntMat(15, 24), 24, 24, 0) || test_requantize(RandomIntMat(15, 24), 1, 24, 24) || test_requantize(RandomIntMat(15, 24), 1, 24, 1) || test_requantize(RandomIntMat(15, 24), 1, 24, 0) || test_requantize(RandomIntMat(15, 24), 24, 1, 24) || test_requantize(RandomIntMat(15, 24), 24, 1, 1) || test_requantize(RandomIntMat(15, 24), 24, 1, 0) || test_requantize(RandomIntMat(17, 12), 1, 1, 12) || test_requantize(RandomIntMat(17, 12), 1, 1, 1) || test_requantize(RandomIntMat(17, 12), 1, 1, 0) || test_requantize(RandomIntMat(17, 12), 12, 12, 12) || test_requantize(RandomIntMat(17, 12), 12, 12, 1) || test_requantize(RandomIntMat(17, 12), 12, 12, 0) || test_requantize(RandomIntMat(17, 12), 1, 12, 12) || test_requantize(RandomIntMat(17, 12), 1, 12, 1) || test_requantize(RandomIntMat(17, 12), 1, 12, 0) || test_requantize(RandomIntMat(17, 12), 12, 1, 12) || test_requantize(RandomIntMat(17, 12), 12, 1, 1) || test_requantize(RandomIntMat(17, 12), 12, 1, 0) || test_requantize(RandomIntMat(19, 15), 1, 1, 15) || test_requantize(RandomIntMat(19, 15), 1, 1, 1) || test_requantize(RandomIntMat(19, 15), 1, 1, 0) || test_requantize(RandomIntMat(19, 15), 15, 15, 15) || test_requantize(RandomIntMat(19, 15), 15, 15, 1) || test_requantize(RandomIntMat(19, 15), 15, 15, 0) || test_requantize(RandomIntMat(19, 15), 1, 15, 15) || test_requantize(RandomIntMat(19, 15), 1, 15, 1) || test_requantize(RandomIntMat(19, 15), 1, 15, 0) || test_requantize(RandomIntMat(19, 15), 15, 1, 15) || test_requantize(RandomIntMat(19, 15), 15, 1, 1) || test_requantize(RandomIntMat(19, 15), 15, 1, 0); } static int test_requantize_2() { return 0 || test_requantize(RandomIntMat(128), 1, 1, 128) || test_requantize(RandomIntMat(128), 1, 1, 1) || test_requantize(RandomIntMat(128), 1, 1, 0) || test_requantize(RandomIntMat(128), 128, 128, 128) || test_requantize(RandomIntMat(128), 128, 128, 1) || test_requantize(RandomIntMat(128), 128, 128, 0) || test_requantize(RandomIntMat(128), 1, 128, 128) || test_requantize(RandomIntMat(128), 1, 128, 1) || test_requantize(RandomIntMat(128), 1, 128, 0) || test_requantize(RandomIntMat(128), 128, 1, 128) || test_requantize(RandomIntMat(128), 128, 1, 1) || test_requantize(RandomIntMat(128), 128, 1, 0) || test_requantize(RandomIntMat(124), 1, 1, 124) || test_requantize(RandomIntMat(124), 1, 1, 1) || test_requantize(RandomIntMat(124), 1, 1, 0) || test_requantize(RandomIntMat(124), 124, 124, 124) || test_requantize(RandomIntMat(124), 124, 124, 1) || test_requantize(RandomIntMat(124), 124, 124, 0) || test_requantize(RandomIntMat(124), 1, 124, 124) || test_requantize(RandomIntMat(124), 1, 124, 1) || test_requantize(RandomIntMat(124), 1, 124, 0) || test_requantize(RandomIntMat(124), 124, 1, 124) || test_requantize(RandomIntMat(124), 124, 1, 1) || test_requantize(RandomIntMat(124), 124, 1, 0) || test_requantize(RandomIntMat(127), 1, 1, 127) || test_requantize(RandomIntMat(127), 1, 1, 1) || test_requantize(RandomIntMat(127), 1, 1, 0) || test_requantize(RandomIntMat(127), 127, 127, 127) || test_requantize(RandomIntMat(127), 127, 127, 1) || test_requantize(RandomIntMat(127), 127, 127, 0) || test_requantize(RandomIntMat(127), 1, 127, 127) || test_requantize(RandomIntMat(127), 1, 127, 1) || test_requantize(RandomIntMat(127), 1, 127, 0) || test_requantize(RandomIntMat(127), 127, 1, 127) || test_requantize(RandomIntMat(127), 127, 1, 1) || test_requantize(RandomIntMat(127), 127, 1, 0); } static int test_requantize_3() { return 0 || test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 1, 24) || test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 1, 1) || test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 1, 0) || test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 24, 24) || test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 24, 1) || test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 24, 0) || test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 24, 24) || test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 24, 1) || test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 24, 0) || test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 1, 24) || test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 1, 1) || test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 1, 0) || test_requantize_pack8(RandomIntMat(15, 24), 1, 1, 24) || test_requantize_pack8(RandomIntMat(15, 24), 1, 1, 1) || test_requantize_pack8(RandomIntMat(15, 24), 1, 1, 0) || test_requantize_pack8(RandomIntMat(15, 24), 24, 24, 24) || test_requantize_pack8(RandomIntMat(15, 24), 24, 24, 1) || test_requantize_pack8(RandomIntMat(15, 24), 24, 24, 0) || test_requantize_pack8(RandomIntMat(15, 24), 1, 24, 24) || test_requantize_pack8(RandomIntMat(15, 24), 1, 24, 1) || test_requantize_pack8(RandomIntMat(15, 24), 1, 24, 0) || test_requantize_pack8(RandomIntMat(15, 24), 24, 1, 24) || test_requantize_pack8(RandomIntMat(15, 24), 24, 1, 1) || test_requantize_pack8(RandomIntMat(15, 24), 24, 1, 0) || test_requantize_pack8(RandomIntMat(128), 1, 1, 128) || test_requantize_pack8(RandomIntMat(128), 1, 1, 1) || test_requantize_pack8(RandomIntMat(128), 1, 1, 0) || test_requantize_pack8(RandomIntMat(128), 128, 128, 128) || test_requantize_pack8(RandomIntMat(128), 128, 128, 1) || test_requantize_pack8(RandomIntMat(128), 128, 128, 0) || test_requantize_pack8(RandomIntMat(128), 1, 128, 128) || test_requantize_pack8(RandomIntMat(128), 1, 128, 1) || test_requantize_pack8(RandomIntMat(128), 1, 128, 0) || test_requantize_pack8(RandomIntMat(128), 128, 1, 128) || test_requantize_pack8(RandomIntMat(128), 128, 1, 1) || test_requantize_pack8(RandomIntMat(128), 128, 1, 0); } int main() { SRAND(7767517); return 0 || test_requantize_0() || test_requantize_1() || test_requantize_2() || test_requantize_3(); }