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chore: import upstream snapshot with attribution

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wehub-resource-sync
2026-07-13 13:33:03 +08:00
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test/op/SortTest.cpp
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//
// SortTest.cpp
// MNNTests
//
// Created by MNN on 2021/12/22.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include <MNN/expr/Expr.hpp>
#include <MNN/expr/ExprCreator.hpp>
#include "MNNTestSuite.h"
#include "TestUtils.h"
using namespace MNN::Express;
class SortTest : public MNNTestCase {
public:
virtual ~SortTest() = default;
virtual bool run(int precision) {
auto input_nhwc = _Input({4, 4}, NHWC);
input_nhwc->setName("input_tensor_nhwc");
// set input data
const float inpudata[] = {-1.0, 2.0, -3.0, 4.0,
5.0, -6.0, 7.0, -8.0,
-9.0, -10.0, 11.0, 12.0,
13.0, 14.0, -15.0, -16.0};
auto inputPtr = input_nhwc->writeMap<float>();
memcpy(inputPtr, inpudata, 16 * sizeof(float));
const std::vector<float> expectedOutput_0 = {-9.0, -10.0, -15.0, -16.0,
-1.0, -6.0, -3.0, -8.0,
5.0, 2.0, 7.0, 4.0,
13.0, 14.0, 11.0, 12.0};
auto output_0 = _Sort(input_nhwc, 0);
auto gotOutput_0 = output_0->readMap<float>();
if (!checkVector<float>(gotOutput_0, expectedOutput_0.data(), 16, 0)) {
MNN_ERROR("SortTest test axis_0 failed!\n");
return false;
}
const std::vector<float> expectedOutput_1 = {-3.0, -1.0, 2.0, 4.0,
-8.0, -6.0, 5.0, 7.0,
-10.0, -9.0, 11.0, 12.0,
-16.0, -15.0, 13.0, 14.0};
auto output_1 = _Sort(input_nhwc, 1);
auto gotOutput_1 = output_1->readMap<float>();
if (!checkVector<float>(gotOutput_1, expectedOutput_1.data(), 16, 0)) {
MNN_ERROR("SortTest test axis_1 failed!\n");
return false;
}
const std::vector<int> expectedOutput_2 = { 2, 2, 3, 3,
0, 1, 0, 1,
1, 0, 1, 0,
3, 3, 2, 2 };
auto output_2 = _Sort(_Clone(input_nhwc, true), 0, true);
auto gotOutput_2 = output_2->readMap<int>();
if (!checkVector<int>(gotOutput_2, expectedOutput_2.data(), 16, 0)) {
MNN_ERROR("ArgSortTest test axis_0 failed!\n");
return false;
}
const std::vector<int> expectedOutput_3 = { 2, 0, 1, 3,
3, 1, 0, 2,
1, 0, 2, 3,
3, 2, 0, 1 };
auto output_3 = _Sort(_Clone(input_nhwc, true), 1, true);
auto gotOutput_3 = output_3->readMap<int>();
if (!checkVector<int>(gotOutput_3, expectedOutput_3.data(), 16, 0)) {
MNN_ERROR("ArgSortTest test axis_1 failed!\n");
return false;
}
const std::vector<int> expectedOutput_4 = { 3, 3, 2, 2,
1, 0, 1, 0,
0, 1, 0, 1,
2, 2, 3, 3 };
auto output_4 = _Sort(_Clone(input_nhwc, true), 0, true, true);
auto gotOutput_4 = output_4->readMap<int>();
if (!checkVector<int>(gotOutput_4, expectedOutput_4.data(), 16, 0)) {
MNN_ERROR("ArgSortTest test axis_0, descend failed!\n");
return false;
}
auto input_nchw = _Input({5}, NC4HW4);
inputPtr = input_nchw->writeMap<float>();
const float inpudatax[] = { 0.4, 0.2, 0.5, 0.1, 0.3 };
memcpy(inputPtr, inpudatax, 5 * sizeof(float));
auto output_5 = _Sort(input_nchw, 0, true);
auto gotOutput_5 = output_5->readMap<int>();
const std::vector<int> expectedOutput_5 = { 3, 1, 4, 0, 2 };
if (!checkVector<int>(gotOutput_5, expectedOutput_5.data(), 5, 0)) {
MNN_ERROR("ArgSortTest test axis_0 failed!\n");
return false;
}
return true;
}
};
MNNTestSuiteRegister(SortTest, "op/sort");