mirror of https://github.com/alibaba/MNN.git
40 lines
1.6 KiB
C++
40 lines
1.6 KiB
C++
//
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// GatherV2Test.cpp
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// MNNTests
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//
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// Created by MNN on 2019/01/15.
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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 GatherV2Test : public MNNTestCase {
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public:
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virtual ~GatherV2Test() = default;
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virtual bool run(int precision) {
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auto params = _Input({4, 3, 2}, NCHW);
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params->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, 13.0,
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14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21, 0, 22.0, 23.0, 24.0};
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auto inputPtr = params->writeMap<float>();
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memcpy(inputPtr, inpudata, 24 * sizeof(float));
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params->unMap();
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const int indices_data[] = {1, 0, 1, 0};
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auto indices = _Const(indices_data, {4}, NCHW, halide_type_of<int>());
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auto output = _GatherV2(params, indices, nullptr);
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const std::vector<float> expectedOutput = {7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0,
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7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 24, 0.01)) {
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MNN_ERROR("GatherV2Test 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(GatherV2Test, "op/gatherv2");
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