mirror of https://github.com/alibaba/MNN.git
67 lines
2.4 KiB
C++
67 lines
2.4 KiB
C++
//
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// RangeTest.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 RangeTest : public MNNTestCase {
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public:
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virtual ~RangeTest() = default;
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virtual bool run(int precision) {
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// Float
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{
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auto start = _Const(0.0);
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auto limit = _Const(1.0);
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auto delta = _Const(0.3);
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auto output = _Range(start, limit, delta);
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const std::vector<float> expectedOutput = {0.0f, 0.3f, 0.6f, 0.9f};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 4, 0.01)) {
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MNN_ERROR("RangeTest test failed!\n");
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return false;
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}
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auto dims = output->getInfo()->dim;
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if (dims.size() != 1) {
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MNN_ERROR("RangeTest test failed!\n");
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return false;
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}
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if (dims[0] != 4) {
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MNN_ERROR("RangeTest test failed!\n");
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return false;
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}
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}
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// Int
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{
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auto start = _Scalar<int>(0);
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auto limit = _Scalar<int>(10);
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auto delta = _Scalar<int>(2);
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auto output = _Range(start, limit, delta);
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const std::vector<int> expectedOutput = {0, 2, 4, 6, 8};
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auto gotOutput = output->readMap<int>();
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if (!checkVector<int>(gotOutput, expectedOutput.data(), 5, 0)) {
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MNN_ERROR("RangeTest test failed!\n");
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return false;
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}
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auto dims = output->getInfo()->dim;
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if (dims.size() != 1) {
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MNN_ERROR("RangeTest test failed!\n");
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return false;
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}
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if (dims[0] != 5) {
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MNN_ERROR("RangeTest test failed!\n");
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return false;
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}
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}
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return true;
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}
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};
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MNNTestSuiteRegister(RangeTest, "op/range");
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