718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
278 lines
14 KiB
C++
278 lines
14 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#include "layer/requantize.h"
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#include "testutil.h"
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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)
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{
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ncnn::ParamDict pd;
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pd.set(0, scale_in_data_size);
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pd.set(1, scale_out_data_size);
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pd.set(2, bias_data_size);
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ncnn::Mat activation_params(2);
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activation_params[0] = alpha;
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activation_params[1] = beta;
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pd.set(3, activation_type);
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pd.set(4, activation_params);
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std::vector<ncnn::Mat> weights(bias_data_size ? 3 : 2);
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weights[0] = RandomMat(scale_in_data_size);
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weights[1] = RandomMat(scale_out_data_size);
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if (bias_data_size)
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weights[2] = RandomMat(bias_data_size);
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Randomize(weights[0], 0.0001, 0.001);
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Randomize(weights[1], 10, 100);
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int flag = TEST_LAYER_DISABLE_AUTO_INPUT_CASTING;
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int ret = test_layer<ncnn::Requantize>("Requantize", pd, weights, a, 1, 0, flag);
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if (ret != 0)
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{
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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]);
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}
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return ret;
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}
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static int test_requantize(const ncnn::Mat& a, int scale_in_data_size, int scale_out_data_size, int bias_data_size)
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{
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return 0
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|| test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 0, 0.f, 0.f)
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|| test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 1, 0.f, 0.f)
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|| test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 2, RandomFloat(0, 1), 0.f)
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|| test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 3, RandomFloat(-1, 0), RandomFloat(0, 1))
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|| test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 4, 0.f, 0.f)
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|| test_requantize(a, scale_in_data_size, scale_out_data_size, bias_data_size, 5, 0.f, 0.f);
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}
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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)
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{
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ncnn::ParamDict pd;
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pd.set(0, scale_in_data_size);
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pd.set(1, scale_out_data_size);
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pd.set(2, bias_data_size);
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ncnn::Mat activation_params(2);
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activation_params[0] = alpha;
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activation_params[1] = beta;
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pd.set(3, activation_type);
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pd.set(4, activation_params);
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std::vector<ncnn::Mat> weights(bias_data_size ? 3 : 2);
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weights[0] = RandomMat(scale_in_data_size);
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weights[1] = RandomMat(scale_out_data_size);
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if (bias_data_size)
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weights[2] = RandomMat(bias_data_size);
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Randomize(weights[0], 0.0001, 0.001);
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Randomize(weights[1], 10, 100);
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int flag = TEST_LAYER_DISABLE_AUTO_INPUT_CASTING | TEST_LAYER_ENABLE_FORCE_INPUT_PACK8;
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int ret = test_layer<ncnn::Requantize>("Requantize", pd, weights, a, 1, 0, flag);
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if (ret != 0)
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{
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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]);
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}
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return ret;
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}
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static int test_requantize_pack8(const ncnn::Mat& a, int scale_in_data_size, int scale_out_data_size, int bias_data_size)
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{
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return 0
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|| test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 0, 0.f, 0.f)
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|| test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 1, 0.f, 0.f)
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|| test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 2, RandomFloat(0, 1), 0.f)
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|| test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 3, RandomFloat(-1, 0), RandomFloat(0, 1))
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|| test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 4, 0.f, 0.f)
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|| test_requantize_pack8(a, scale_in_data_size, scale_out_data_size, bias_data_size, 5, 0.f, 0.f);
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}
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static int test_requantize_0()
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{
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return 0
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|| test_requantize(RandomIntMat(5, 7, 24), 1, 1, 24)
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|| test_requantize(RandomIntMat(5, 7, 24), 1, 1, 1)
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|| test_requantize(RandomIntMat(5, 7, 24), 1, 1, 0)
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|| test_requantize(RandomIntMat(5, 7, 24), 24, 24, 24)
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|| test_requantize(RandomIntMat(5, 7, 24), 24, 24, 1)
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|| test_requantize(RandomIntMat(5, 7, 24), 24, 24, 0)
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|| test_requantize(RandomIntMat(5, 7, 24), 1, 24, 24)
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|| test_requantize(RandomIntMat(5, 7, 24), 1, 24, 1)
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|| test_requantize(RandomIntMat(5, 7, 24), 1, 24, 0)
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|| test_requantize(RandomIntMat(5, 7, 24), 24, 1, 24)
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|| test_requantize(RandomIntMat(5, 7, 24), 24, 1, 1)
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|| test_requantize(RandomIntMat(5, 7, 24), 24, 1, 0)
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|| test_requantize(RandomIntMat(7, 9, 12), 1, 1, 12)
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|| test_requantize(RandomIntMat(7, 9, 12), 1, 1, 1)
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|| test_requantize(RandomIntMat(7, 9, 12), 1, 1, 0)
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|| test_requantize(RandomIntMat(7, 9, 12), 12, 12, 12)
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|| test_requantize(RandomIntMat(7, 9, 12), 12, 12, 1)
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|| test_requantize(RandomIntMat(7, 9, 12), 12, 12, 0)
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|| test_requantize(RandomIntMat(7, 9, 12), 1, 12, 12)
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|| test_requantize(RandomIntMat(7, 9, 12), 1, 12, 1)
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|| test_requantize(RandomIntMat(7, 9, 12), 1, 12, 0)
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|| test_requantize(RandomIntMat(7, 9, 12), 12, 1, 12)
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|| test_requantize(RandomIntMat(7, 9, 12), 12, 1, 1)
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|| test_requantize(RandomIntMat(7, 9, 12), 12, 1, 0)
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|| test_requantize(RandomIntMat(3, 5, 13), 1, 1, 13)
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|| test_requantize(RandomIntMat(3, 5, 13), 1, 1, 1)
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|| test_requantize(RandomIntMat(3, 5, 13), 1, 1, 0)
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|| test_requantize(RandomIntMat(3, 5, 13), 13, 13, 13)
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|| test_requantize(RandomIntMat(3, 5, 13), 13, 13, 1)
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|| test_requantize(RandomIntMat(3, 5, 13), 13, 13, 0)
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|| test_requantize(RandomIntMat(3, 5, 13), 1, 13, 13)
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|| test_requantize(RandomIntMat(3, 5, 13), 1, 13, 1)
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|| test_requantize(RandomIntMat(3, 5, 13), 1, 13, 0)
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|| test_requantize(RandomIntMat(3, 5, 13), 13, 1, 13)
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|| test_requantize(RandomIntMat(3, 5, 13), 13, 1, 1)
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|| test_requantize(RandomIntMat(3, 5, 13), 13, 1, 0);
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}
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static int test_requantize_1()
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{
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return 0
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|| test_requantize(RandomIntMat(15, 24), 1, 1, 24)
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|| test_requantize(RandomIntMat(15, 24), 1, 1, 1)
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|| test_requantize(RandomIntMat(15, 24), 1, 1, 0)
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|| test_requantize(RandomIntMat(15, 24), 24, 24, 24)
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|| test_requantize(RandomIntMat(15, 24), 24, 24, 1)
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|| test_requantize(RandomIntMat(15, 24), 24, 24, 0)
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|| test_requantize(RandomIntMat(15, 24), 1, 24, 24)
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|| test_requantize(RandomIntMat(15, 24), 1, 24, 1)
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|| test_requantize(RandomIntMat(15, 24), 1, 24, 0)
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|| test_requantize(RandomIntMat(15, 24), 24, 1, 24)
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|| test_requantize(RandomIntMat(15, 24), 24, 1, 1)
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|| test_requantize(RandomIntMat(15, 24), 24, 1, 0)
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|| test_requantize(RandomIntMat(17, 12), 1, 1, 12)
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|| test_requantize(RandomIntMat(17, 12), 1, 1, 1)
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|| test_requantize(RandomIntMat(17, 12), 1, 1, 0)
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|| test_requantize(RandomIntMat(17, 12), 12, 12, 12)
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|| test_requantize(RandomIntMat(17, 12), 12, 12, 1)
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|| test_requantize(RandomIntMat(17, 12), 12, 12, 0)
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|| test_requantize(RandomIntMat(17, 12), 1, 12, 12)
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|| test_requantize(RandomIntMat(17, 12), 1, 12, 1)
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|| test_requantize(RandomIntMat(17, 12), 1, 12, 0)
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|| test_requantize(RandomIntMat(17, 12), 12, 1, 12)
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|| test_requantize(RandomIntMat(17, 12), 12, 1, 1)
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|| test_requantize(RandomIntMat(17, 12), 12, 1, 0)
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|| test_requantize(RandomIntMat(19, 15), 1, 1, 15)
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|| test_requantize(RandomIntMat(19, 15), 1, 1, 1)
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|| test_requantize(RandomIntMat(19, 15), 1, 1, 0)
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|| test_requantize(RandomIntMat(19, 15), 15, 15, 15)
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|| test_requantize(RandomIntMat(19, 15), 15, 15, 1)
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|| test_requantize(RandomIntMat(19, 15), 15, 15, 0)
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|| test_requantize(RandomIntMat(19, 15), 1, 15, 15)
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|| test_requantize(RandomIntMat(19, 15), 1, 15, 1)
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|| test_requantize(RandomIntMat(19, 15), 1, 15, 0)
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|| test_requantize(RandomIntMat(19, 15), 15, 1, 15)
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|| test_requantize(RandomIntMat(19, 15), 15, 1, 1)
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|| test_requantize(RandomIntMat(19, 15), 15, 1, 0);
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}
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static int test_requantize_2()
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{
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return 0
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|| test_requantize(RandomIntMat(128), 1, 1, 128)
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|| test_requantize(RandomIntMat(128), 1, 1, 1)
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|| test_requantize(RandomIntMat(128), 1, 1, 0)
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|| test_requantize(RandomIntMat(128), 128, 128, 128)
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|| test_requantize(RandomIntMat(128), 128, 128, 1)
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|| test_requantize(RandomIntMat(128), 128, 128, 0)
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|| test_requantize(RandomIntMat(128), 1, 128, 128)
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|| test_requantize(RandomIntMat(128), 1, 128, 1)
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|| test_requantize(RandomIntMat(128), 1, 128, 0)
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|| test_requantize(RandomIntMat(128), 128, 1, 128)
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|| test_requantize(RandomIntMat(128), 128, 1, 1)
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|| test_requantize(RandomIntMat(128), 128, 1, 0)
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|| test_requantize(RandomIntMat(124), 1, 1, 124)
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|| test_requantize(RandomIntMat(124), 1, 1, 1)
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|| test_requantize(RandomIntMat(124), 1, 1, 0)
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|| test_requantize(RandomIntMat(124), 124, 124, 124)
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|| test_requantize(RandomIntMat(124), 124, 124, 1)
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|| test_requantize(RandomIntMat(124), 124, 124, 0)
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|| test_requantize(RandomIntMat(124), 1, 124, 124)
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|| test_requantize(RandomIntMat(124), 1, 124, 1)
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|| test_requantize(RandomIntMat(124), 1, 124, 0)
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|| test_requantize(RandomIntMat(124), 124, 1, 124)
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|| test_requantize(RandomIntMat(124), 124, 1, 1)
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|| test_requantize(RandomIntMat(124), 124, 1, 0)
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|| test_requantize(RandomIntMat(127), 1, 1, 127)
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|| test_requantize(RandomIntMat(127), 1, 1, 1)
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|| test_requantize(RandomIntMat(127), 1, 1, 0)
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|| test_requantize(RandomIntMat(127), 127, 127, 127)
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|| test_requantize(RandomIntMat(127), 127, 127, 1)
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|| test_requantize(RandomIntMat(127), 127, 127, 0)
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|| test_requantize(RandomIntMat(127), 1, 127, 127)
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|| test_requantize(RandomIntMat(127), 1, 127, 1)
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|| test_requantize(RandomIntMat(127), 1, 127, 0)
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|| test_requantize(RandomIntMat(127), 127, 1, 127)
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|| test_requantize(RandomIntMat(127), 127, 1, 1)
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|| test_requantize(RandomIntMat(127), 127, 1, 0);
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}
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static int test_requantize_3()
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{
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return 0
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 1, 24)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 1, 1)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 1, 0)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 24, 24)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 24, 1)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 24, 0)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 24, 24)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 24, 1)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 1, 24, 0)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 1, 24)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 1, 1)
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|| test_requantize_pack8(RandomIntMat(5, 7, 24), 24, 1, 0)
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|| test_requantize_pack8(RandomIntMat(15, 24), 1, 1, 24)
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|| test_requantize_pack8(RandomIntMat(15, 24), 1, 1, 1)
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|| test_requantize_pack8(RandomIntMat(15, 24), 1, 1, 0)
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|| test_requantize_pack8(RandomIntMat(15, 24), 24, 24, 24)
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|| test_requantize_pack8(RandomIntMat(15, 24), 24, 24, 1)
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|| test_requantize_pack8(RandomIntMat(15, 24), 24, 24, 0)
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|| test_requantize_pack8(RandomIntMat(15, 24), 1, 24, 24)
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|| test_requantize_pack8(RandomIntMat(15, 24), 1, 24, 1)
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|| test_requantize_pack8(RandomIntMat(15, 24), 1, 24, 0)
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|| test_requantize_pack8(RandomIntMat(15, 24), 24, 1, 24)
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|| test_requantize_pack8(RandomIntMat(15, 24), 24, 1, 1)
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|| test_requantize_pack8(RandomIntMat(15, 24), 24, 1, 0)
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|| test_requantize_pack8(RandomIntMat(128), 1, 1, 128)
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|| test_requantize_pack8(RandomIntMat(128), 1, 1, 1)
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|| test_requantize_pack8(RandomIntMat(128), 1, 1, 0)
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|| test_requantize_pack8(RandomIntMat(128), 128, 128, 128)
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|| test_requantize_pack8(RandomIntMat(128), 128, 128, 1)
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|| test_requantize_pack8(RandomIntMat(128), 128, 128, 0)
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|| test_requantize_pack8(RandomIntMat(128), 1, 128, 128)
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|| test_requantize_pack8(RandomIntMat(128), 1, 128, 1)
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|| test_requantize_pack8(RandomIntMat(128), 1, 128, 0)
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|| test_requantize_pack8(RandomIntMat(128), 128, 1, 128)
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|| test_requantize_pack8(RandomIntMat(128), 128, 1, 1)
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|| test_requantize_pack8(RandomIntMat(128), 128, 1, 0);
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}
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int main()
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{
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SRAND(7767517);
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return 0
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|| test_requantize_0()
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|| test_requantize_1()
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|| test_requantize_2()
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|| test_requantize_3();
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}
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