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https://github.com/Tencent/ncnn.git
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* runtime cpu dispatch * force thread one * disable openmp for coverage * simplify test layer * print NCNN_TARGET_ARCH * less ci build variants * weight fp16 storage option * test convdw int8 * apple a12 a13 * ncnn_add_layer ncnn_add_shader cmake macro
164 lines
3.6 KiB
C++
164 lines
3.6 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/concat.h"
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#include "testutil.h"
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static int test_concat(const std::vector<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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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer<ncnn::Concat>("Concat", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_concat failed a[0].dims=%d a[0]=(%d %d %d) axis=%d\n", a[0].dims, a[0].w, a[0].h, a[0].c, axis);
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}
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return ret;
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}
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static int test_concat_0()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(16, 12, 8);
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a[1] = RandomMat(16, 12, 8);
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a[2] = RandomMat(16, 12, 8);
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return 0
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|| test_concat(a, 0)
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|| test_concat(a, 1)
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|| test_concat(a, 2);
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}
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static int test_concat_1()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(7, 3, 3);
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a[1] = RandomMat(7, 3, 8);
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a[2] = RandomMat(7, 3, 5);
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return test_concat(a, 0);
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}
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static int test_concat_2()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(7, 3, 2);
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a[1] = RandomMat(7, 8, 2);
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a[2] = RandomMat(7, 5, 2);
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return test_concat(a, 1);
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}
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static int test_concat_3()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(7, 3, 8);
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a[1] = RandomMat(7, 8, 8);
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a[2] = RandomMat(7, 5, 8);
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return test_concat(a, 1);
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}
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static int test_concat_4()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(3, 7, 2);
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a[1] = RandomMat(8, 7, 2);
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a[2] = RandomMat(5, 7, 2);
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return test_concat(a, 2);
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}
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static int test_concat_5()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(3, 7, 8);
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a[1] = RandomMat(8, 7, 8);
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a[2] = RandomMat(5, 7, 8);
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return test_concat(a, 2);
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}
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static int test_concat_6()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(7, 3);
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a[1] = RandomMat(7, 8);
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a[2] = RandomMat(7, 5);
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return test_concat(a, 0);
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}
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static int test_concat_7()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(3, 2);
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a[1] = RandomMat(8, 2);
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a[2] = RandomMat(5, 2);
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return test_concat(a, 1);
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}
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static int test_concat_8()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(3, 8);
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a[1] = RandomMat(8, 8);
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a[2] = RandomMat(5, 8);
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return test_concat(a, 1);
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}
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static int test_concat_9()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(3);
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a[1] = RandomMat(8);
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a[2] = RandomMat(5);
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return test_concat(a, 0);
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}
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static int test_concat_10()
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{
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std::vector<ncnn::Mat> a(3);
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a[0] = RandomMat(4);
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a[1] = RandomMat(8);
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a[2] = RandomMat(12);
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return test_concat(a, 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_concat_0()
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|| test_concat_1()
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|| test_concat_2()
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|| test_concat_3()
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|| test_concat_4()
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|| test_concat_5()
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|| test_concat_6()
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|| test_concat_7()
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|| test_concat_8()
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|| test_concat_9()
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|| test_concat_10();
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}
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