mirror of https://github.com/alibaba/MNN.git
43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
//
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// UnstackTest.cpp
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// MNNTests
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//
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// Created by MNN on 2019/12/18.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include <MNN/expr/Expr.hpp>
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#include <MNN/expr/ExprCreator.hpp>
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#include "MNNTestSuite.h"
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#include "TestUtils.h"
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using namespace MNN::Express;
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class UnstackTest : public MNNTestCase {
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public:
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virtual ~UnstackTest() = default;
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virtual bool run(int precision) {
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auto input = _Input({3, 1, 2, 2}, NCHW);
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input->setName("input_tensor");
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// set input data
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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};
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auto inputPtr = input->writeMap<float>();
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memcpy(inputPtr, inpudata, 12 * sizeof(float));
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input->unMap();
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auto outputs = _Unstack(input, -2);
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const std::vector<float> expectedOutput_0 = {1.0, 2.0, 5.0, 6.0, 9.0, 10.0};
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const std::vector<float> expectedOutput_1 = {3.0, 4.0, 7.0, 8.0, 11.0, 12.0};
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auto gotOutput_0 = outputs[0]->readMap<float>();
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auto gotOutput_1 = outputs[1]->readMap<float>();
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if (!checkVector<float>(gotOutput_0, expectedOutput_0.data(), 6, 0.01)) {
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MNN_ERROR("UnstackTest test failed!\n");
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return false;
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}
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if (!checkVector<float>(gotOutput_1, expectedOutput_1.data(), 6, 0.01)) {
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MNN_ERROR("UnstackTest test failed!\n");
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return false;
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}
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return true;
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}
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};
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MNNTestSuiteRegister(UnstackTest, "op/unstack");
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