mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-18 13:42:18 +08:00
70 lines
1.7 KiB
C++
70 lines
1.7 KiB
C++
// Copyright 2021 Tencent
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// SPDX-License-Identifier: BSD-3-Clause
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#include "testutil.h"
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static int test_quantize_oom(const ncnn::Mat& a, float scale_low, float scale_high)
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{
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ncnn::Mat scale_data;
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if (scale_low == scale_high)
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{
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scale_data.create(1);
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scale_data[0] = scale_low;
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}
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else
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{
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if (a.dims == 1) scale_data.create(1);
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if (a.dims == 2) scale_data.create(a.h);
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if (a.dims == 3) scale_data.create(a.c);
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Randomize(scale_data, scale_low, scale_high);
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}
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ncnn::ParamDict pd;
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pd.set(0, scale_data.w);
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std::vector<ncnn::Mat> weights(1);
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weights[0] = scale_data;
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int ret = test_layer_oom("Quantize", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_quantize_oom failed a.dims=%d a=(%d %d %d) scale_low=%f scale_high=%f\n", a.dims, a.w, a.h, a.c, scale_low, scale_high);
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}
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return ret;
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}
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static int test_quantize_0()
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{
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return 0
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|| test_quantize_oom(RandomMat(5, 7, 24), 100.f, 100.f)
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|| test_quantize_oom(RandomMat(7, 9, 12), 100.f, 100.f)
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|| test_quantize_oom(RandomMat(3, 5, 13), 100.f, 100.f);
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}
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static int test_quantize_1()
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{
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return 0
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|| test_quantize_oom(RandomMat(15, 24), 100.f, 100.f)
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|| test_quantize_oom(RandomMat(17, 12), 100.f, 100.f)
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|| test_quantize_oom(RandomMat(19, 15), 100.f, 100.f);
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}
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static int test_quantize_2()
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{
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return 0
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|| test_quantize_oom(RandomMat(128), 120.f, 140.f)
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|| test_quantize_oom(RandomMat(124), 120.f, 140.f)
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|| test_quantize_oom(RandomMat(127), 120.f, 140.f);
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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_quantize_0()
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|| test_quantize_1()
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|| test_quantize_2();
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}
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