|
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276 |
- // 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"
-
- static int test_requantize(const ncnn::Mat& a, int scale_in_data_size, int scale_out_data_size, int bias_data_size, int activation_type, float alpha, float beta)
- {
- ncnn::ParamDict pd;
- pd.set(0, scale_in_data_size);
- pd.set(1, scale_out_data_size);
- pd.set(2, bias_data_size);
-
- ncnn::Mat activation_params(2);
- activation_params[0] = alpha;
- activation_params[1] = beta;
- pd.set(3, activation_type);
- pd.set(4, activation_params);
-
- std::vector<ncnn::Mat> 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);
-
- Randomize(weights[0], 0.0001, 0.001);
- Randomize(weights[1], 10, 100);
-
- 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(const ncnn::Mat& a, int scale_in_data_size, int scale_out_data_size, int bias_data_size)
- {
- return 0
- || test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 0, 0.f, 0.f)
- || test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 1, 0.f, 0.f)
- || test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 2, RandomFloat(0, 1), 0.f)
- || test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 3, RandomFloat(-1, 0), RandomFloat(0, 1))
- || test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 4, 0.f, 0.f)
- || test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 5, 0.f, 0.f);
- }
-
- static int test_requantize_pack8(const ncnn::Mat& a, int scale_in_data_size, int scale_out_data_size, int bias_data_size, int activation_type, float alpha, float beta)
- {
- ncnn::ParamDict pd;
- pd.set(0, scale_in_data_size);
- pd.set(1, scale_out_data_size);
- pd.set(2, bias_data_size);
-
- ncnn::Mat activation_params(2);
- activation_params[0] = alpha;
- activation_params[1] = beta;
- pd.set(3, activation_type);
- pd.set(4, activation_params);
-
- std::vector<ncnn::Mat> 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);
-
- Randomize(weights[0], 0.0001, 0.001);
- Randomize(weights[1], 10, 100);
-
- 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_pack8(const ncnn::Mat& a, int scale_in_data_size, int scale_out_data_size, int bias_data_size)
- {
- return 0
- || test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 0, 0.f, 0.f)
- || test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 1, 0.f, 0.f)
- || test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 2, RandomFloat(0, 1), 0.f)
- || test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 3, RandomFloat(-1, 0), RandomFloat(0, 1))
- || test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 4, 0.f, 0.f)
- || test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 5, 0.f, 0.f);
- }
-
- 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();
- }
|