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
113 lines
2.9 KiB
C++
113 lines
2.9 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) 2020 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/softmax.h"
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#include "testutil.h"
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static int test_softmax(const ncnn::Mat& a, int axis)
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{
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ncnn::ParamDict pd;
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pd.set(0, axis); // axis
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pd.set(1, 1); // fixbug0
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer<ncnn::Softmax>("Softmax", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_softmax failed a.dims=%d a=(%d %d %d) axis=%d\n", a.dims, a.w, a.h, a.c, axis);
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}
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return ret;
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}
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static int test_softmax_0()
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{
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ncnn::Mat a = RandomMat(25, 27, 32);
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ncnn::Mat b = RandomMat(27, 29, 28);
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ncnn::Mat c = RandomMat(23, 25, 27);
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return 0
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|| test_softmax(a, 0)
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|| test_softmax(a, 1)
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|| test_softmax(a, 2)
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|| test_softmax(a, -1)
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|| test_softmax(a, -2)
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|| test_softmax(a, -3)
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|| test_softmax(b, 0)
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|| test_softmax(b, 1)
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|| test_softmax(b, 2)
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|| test_softmax(b, -1)
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|| test_softmax(b, -2)
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|| test_softmax(b, -3)
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|| test_softmax(c, 0)
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|| test_softmax(c, 1)
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|| test_softmax(c, 2)
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|| test_softmax(c, -1)
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|| test_softmax(c, -2)
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|| test_softmax(c, -3);
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}
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static int test_softmax_1()
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{
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ncnn::Mat a = RandomMat(25, 32);
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ncnn::Mat b = RandomMat(27, 28);
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ncnn::Mat c = RandomMat(29, 27);
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return 0
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|| test_softmax(a, 0)
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|| test_softmax(a, 1)
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|| test_softmax(a, -1)
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|| test_softmax(a, -2)
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|| test_softmax(b, 0)
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|| test_softmax(b, 1)
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|| test_softmax(b, -1)
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|| test_softmax(b, -2)
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|| test_softmax(c, 0)
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|| test_softmax(c, 1)
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|| test_softmax(c, -1)
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|| test_softmax(c, -2);
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}
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static int test_softmax_2()
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{
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ncnn::Mat a = RandomMat(128);
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ncnn::Mat b = RandomMat(124);
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ncnn::Mat c = RandomMat(127);
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return 0
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|| test_softmax(a, 0)
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|| test_softmax(a, -1)
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|| test_softmax(b, 0)
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|| test_softmax(b, -1)
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|| test_softmax(c, 0)
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|| test_softmax(c, -1);
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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_softmax_0()
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|| test_softmax_1()
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|| test_softmax_2();
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}
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