MNN/test/op/WhereTest.cpp

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//
// WhereTest.cpp
// MNNTests
//
// Created by MNN on 2021/11/11.
// 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;
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class WhereTest : public MNNTestCase {
public:
virtual ~WhereTest() = default;
virtual bool run(int precision) {
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return commonCase() &&
zeroCase();
}
bool commonCase() {
auto input = _Input({2, 3}, NCHW);
input->setName("input_tensor");
// set input data
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const float inpudata[] = { 1.0, 0.0, 2.0,
3.0, 0.0, 4.0 };
auto inputPtr = input->writeMap<float>();
memcpy(inputPtr, inpudata, 6 * sizeof(float));
input->unMap();
auto output = _Where(input);
const std::vector<int> expectedOutput = {0, 0, 0, 2, 1, 0, 1, 2};
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const std::vector<int> expectedShape = {4, 2};
auto realShape = output->getInfo()->dim;
if (!checkVector<int>(realShape.data(), expectedShape.data(), 2, 0)) {
MNN_ERROR("WhereTest shape mismatch!\n");
return false;
}
auto gotOutput = output->readMap<int>();
if (!checkVector<int>(gotOutput, expectedOutput.data(), 8, 0)) {
MNN_ERROR("WhereTest test failed!\n");
return false;
}
return true;
}
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bool zeroCase() {
auto input = _Input({2, 4}, NCHW);
input->setName("input_tensor");
// set input data
const float inpudata_zero[] = { 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0 };
auto inputPtr = input->writeMap<float>();
memcpy(inputPtr, inpudata_zero, 8 * sizeof(float));
input->unMap();
auto output = _Where(input);
const std::vector<int> expectedOutput = {};
const std::vector<int> expectedShape = {0, 2};
auto realShape = output->getInfo()->dim;
if (!checkVector<int>(realShape.data(), expectedShape.data(), 2, 0)) {
MNN_ERROR("WhereTest zero shape mismatch!\n");
return false;
}
return true;
}
};
MNNTestSuiteRegister(WhereTest, "op/where");