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https://github.com/Tencent/ncnn.git
synced 2026-10-17 04:41:47 +08:00
nihui
706c4d1964
Add 4d Mat handling across generic and optimized backends, extend operator tests, and document supported input and output Mat dimensions.
60 lines
1.7 KiB
C++
60 lines
1.7 KiB
C++
// Copyright 2026 ihb2032 <hebome@foxmail.com>
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// SPDX-License-Identifier: BSD-3-Clause
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#include "testutil.h"
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static int test_log(const ncnn::Mat& a, float base, float scale, float shift)
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{
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ncnn::ParamDict pd;
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pd.set(0, base);
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pd.set(1, scale);
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pd.set(2, shift);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("Log", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_log failed a.dims=%d a=(%d %d %d %d) base=%f scale=%f shift=%f\n", a.dims, a.w, a.h, a.d, a.c, base, scale, shift);
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}
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return ret;
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}
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static int test_log_0()
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{
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return 0
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|| test_log(RandomMat(5, 6, 7, 24, 0.001f, 2.f), -1.f, 1.f, 0.f)
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|| test_log(RandomMat(7, 8, 9, 12, 0.001f, 2.f), -1.f, 0.75f, 0.25f)
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|| test_log(RandomMat(3, 4, 5, 13, 0.001f, 2.f), 2.f, 0.5f, 0.125f)
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|| test_log(RandomMat(5, 7, 24, 0.001f, 2.f), -1.f, 1.f, 0.f)
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|| test_log(RandomMat(7, 9, 12, 0.001f, 2.f), -1.f, 0.75f, 0.25f)
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|| test_log(RandomMat(3, 5, 13, 0.001f, 2.f), 2.f, 0.5f, 0.125f);
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}
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static int test_log_1()
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{
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return 0
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|| test_log(RandomMat(15, 24, 0.001f, 2.f), -1.f, 1.f, 0.f)
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|| test_log(RandomMat(17, 12, 0.001f, 2.f), -1.f, 1.25f, 0.5f)
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|| test_log(RandomMat(19, 15, 0.001f, 2.f), 2.f, 0.75f, 0.25f);
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}
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static int test_log_2()
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{
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return 0
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|| test_log(RandomMat(128, 0.001f, 2.f), -1.f, 1.f, 0.f)
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|| test_log(RandomMat(124, 0.001f, 2.f), -1.f, 0.5f, 0.25f)
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|| test_log(RandomMat(127, 0.001f, 2.f), 2.f, 1.5f, 0.125f);
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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_log_0()
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|| test_log_1()
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|| test_log_2();
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}
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