MNN/test/op/ScaleTest.cpp

63 lines
2.1 KiB
C++

//
// ScaleTest.cpp
// MNNTests
//
// Created by MNN on 2021/10/22.
// 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 ScaleTest : public MNNTestCase {
public:
virtual ~ScaleTest() = default;
virtual bool run(int precision) {
auto input = _Input({1, 2, 2, 1}, NCHW);
// set input data
const float inpudata[] = {-1.0, -2.0, 3.0, 4.0};
auto inputPtr = input->writeMap<float>();
memcpy(inputPtr, inpudata, 4 * sizeof(float));
input = _Convert(input, NC4HW4);
auto output = _Scale(input, 2, {2.0, 1.0}, {3.0, 4.0});
output = _Convert(output, NCHW);
const std::vector<float> expectedOutput = {1, -1, 7, 8};
auto gotOutput = output->readMap<float>();
if (!checkVector<float>(gotOutput, expectedOutput.data(), 4, 1e-5)) {
MNN_ERROR("ScaleTest test failed!\n");
return false;
}
return true;
}
};
class ScaleInt8Test : public MNNTestCase {
public:
virtual ~ScaleInt8Test() = default;
virtual bool run(int precision) {
auto input = _Input({1, 2, 2, 1}, NCHW);
input->writeScaleMap(0.0313725, 1.f);
// set input data
const float inpudata[] = {-1.0, -2.0, 3.0, 4.0};
auto inputPtr = input->writeMap<float>();
memcpy(inputPtr, inpudata, 4 * sizeof(float));
input = _Convert(input, NC4HW4);
auto output = _Scale(input, 2, {2.0, 1.0}, {3.0, 4.0});
output = _Convert(output, NCHW);
output->writeScaleMap(0.0628, 1.f);
const std::vector<float> expectedOutput = {1, -1, 7, 8};
auto gotOutput = output->readMap<float>();
if (!checkVector<float>(gotOutput, expectedOutput.data(), 4, 1e-1)) {
MNN_ERROR("ScaleTestInt8 test failed!\n");
return false;
}
return true;
}
};
MNNTestSuiteRegister(ScaleTest, "op/scale");
MNNTestSuiteRegister(ScaleInt8Test, "op/scaleInt8");