mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-18 05:36:58 +08:00
nihui
706c4d1964
Add 4d Mat handling across generic and optimized backends, extend operator tests, and document supported input and output Mat dimensions.
71 lines
1.3 KiB
C++
71 lines
1.3 KiB
C++
// Copyright 2026 Tencent
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// SPDX-License-Identifier: BSD-3-Clause
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#include "testutil.h"
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static void set_input_params(ncnn::ParamDict& pd, const ncnn::Mat& a)
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{
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pd.set(0, a.w);
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if (a.dims >= 2)
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pd.set(1, a.h);
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if (a.dims == 4)
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pd.set(11, a.d);
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if (a.dims >= 3)
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pd.set(2, a.c);
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}
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static int test_input(const ncnn::Mat& a)
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{
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ncnn::ParamDict pd;
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set_input_params(pd, a);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("Input", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_input failed a.dims=%d a=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c);
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}
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return ret;
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}
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static int test_input_4d()
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{
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return 0
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|| test_input(RandomMat(5, 7, 3, 16))
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|| test_input(RandomMat(3, 5, 4, 13));
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}
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static int test_input_0()
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{
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return 0
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|| test_input(RandomMat(5, 7, 16))
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|| test_input(RandomMat(3, 5, 13));
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}
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static int test_input_1()
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{
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return 0
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|| test_input(RandomMat(6, 16))
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|| test_input(RandomMat(7, 15));
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}
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static int test_input_2()
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{
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return 0
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|| test_input(RandomMat(128))
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|| test_input(RandomMat(127));
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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_input_4d()
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|| test_input_0()
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|| test_input_1()
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|| test_input_2();
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}
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