mirror of https://github.com/alibaba/MNN.git
230 lines
10 KiB
C++
230 lines
10 KiB
C++
//
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// ResizeTest.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 ResizeTest : public MNNTestCase {
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public:
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virtual ~ResizeTest() = default;
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virtual bool run(int precision) {
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auto input = _Input({1, 2, 2, 1}, NHWC);
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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};
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auto inputPtr = input->writeMap<float>();
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memcpy(inputPtr, inpudata, 4 * sizeof(float));
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input->unMap();
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input = _Convert(input, NC4HW4);
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auto output = _Resize(input, 2.0, 2.0);
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output = _Convert(output, NHWC);
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const std::vector<float> expectedOutput = {-1.0, -1.5, -2.0, -2.0, 1.0, 1.0, 1.0, 1.0,
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3.0, 3.5, 4.0, 4.0, 3.0, 3.5, 4.0, 4.0};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 16, 0.01)) {
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MNN_ERROR("ResizeTest test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim = {1, 4, 4, 1};
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auto gotDim = output->getInfo()->dim;
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if (!checkVector<int>(gotDim.data(), expectedDim.data(), 4, 0)) {
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MNN_ERROR("ResizeTest 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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class InterpTest : public MNNTestCase {
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public:
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virtual ~InterpTest() = default;
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virtual bool run(int precision) {
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auto input = _Input({1, 2, 2, 1}, NHWC);
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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};
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auto inputPtr = input->writeMap<float>();
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memcpy(inputPtr, inpudata, 4 * sizeof(float));
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input->unMap();
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input = _Convert(input, NC4HW4);
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float hScale = 2.0;
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float wScale = 2.0;
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float scales[] = {1.0, 1.0, hScale, wScale};
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auto scaleVar = _Const((void*)scales, {4}, NCHW);
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int outW = int(wScale * 2);
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int outH = int(hScale * 2);
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//Interp Type:1
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{
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auto output = _Interp({input, scaleVar}, wScale, hScale, outW, outH, 1, false);
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output = _Convert(output, NHWC);
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const std::vector<float> expectedOutput = {-1.0, -1.0, -2.0, -2.0, -1.0, -1.0, -2.0, -2.0,
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3.0, 3.0, 4.0, 4.0, 3.0, 3.0, 4.0, 4.0};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 16, 0.01)) {
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MNN_ERROR("InterpType:1 test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim = {1, 4, 4, 1};
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auto gotDim = output->getInfo()->dim;
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if (!checkVector<int>(gotDim.data(), expectedDim.data(), 4, 0)) {
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MNN_ERROR("InterpType:1 test failed!\n");
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return false;
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}
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}
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//Interp Type:2
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{
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auto output = _Interp({input, scaleVar}, wScale, hScale, outW, outH, 2, false);
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output = _Convert(output, NHWC);
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const std::vector<float> expectedOutput = { -1.0000, -1.2500, -1.7500, -2.0000, 0.0000, -0.1250, -0.3750, -0.5000,
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2.0000, 2.1250, 2.3750, 2.5000, 3.0000, 3.2500, 3.7500, 4.0000};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 16, 0.01)) {
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MNN_ERROR("InterpType:2 test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim = {1, 4, 4, 1};
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auto gotDim = output->getInfo()->dim;
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if (!checkVector<int>(gotDim.data(), expectedDim.data(), 4, 0)) {
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MNN_ERROR("InterpType:2 test failed!\n");
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return false;
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}
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}
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//Interp Type:3
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{
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auto output = _Interp({input, scaleVar}, wScale, hScale, outW, outH, 3, false);
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output = _Convert(output, NHWC);
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const std::vector<float> expectedOutput = { 2.516724, 2.217651, 2.516724, 2.698303, -0.516724, -0.217651, -0.516724, -0.698303, 2.516724, 2.217651, 2.516724, 2.698303, 4.358459, 3.696228, 4.358459, 4.760529};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 16, 0.01)) {
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MNN_ERROR("InterpType:3 test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim = {1, 4, 4, 1};
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auto gotDim = output->getInfo()->dim;
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if (!checkVector<int>(gotDim.data(), expectedDim.data(), 4, 0)) {
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MNN_ERROR("InterpType:3 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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class InterpInt8Test : public MNNTestCase {
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public:
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virtual ~InterpInt8Test() = default;
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virtual bool run(int precision) {
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auto input = _Input({1, 2, 2, 1}, NHWC);
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input->setName("input_tensor");
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input->writeScaleMap(0.032, 1.f);
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// set input data
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const float inpudata[] = {-1.0, -2.0, 3.0, 4.0};
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auto inputPtr = input->writeMap<float>();
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memcpy(inputPtr, inpudata, 4 * sizeof(float));
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input->unMap();
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input = _Convert(input, NC4HW4);
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float hScale = 2.0;
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float wScale = 2.0;
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float scales[] = {1.0, 1.0, hScale, wScale};
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auto scaleVar = _Const((void*)scales, {4}, NCHW);
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int outW = int(wScale * 2);
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int outH = int(hScale * 2);
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//Interp Type:1
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{
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printf("InterpInt8 test: Type=1\n");
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auto output = _Interp({input, scaleVar}, wScale, hScale, outW, outH, 1, false);
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output = _Convert(output, NHWC);
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output->writeScaleMap(0.031372549, 0.f);
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const std::vector<float> expectedOutput = {-1.0, -1.0, -2.0, -2.0, -1.0, -1.0, -2.0, -2.0,
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3.0, 3.0, 4.0, 4.0, 3.0, 3.0, 4.0, 4.0};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 16, 0.05)) {
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MNN_ERROR("InterpInt8 ResizeType=1 :test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim = {1, 4, 4, 1};
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auto gotDim = output->getInfo()->dim;
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if (!checkVector<int>(gotDim.data(), expectedDim.data(), 4, 0)) {
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MNN_ERROR("InterpInt8 ResizeType=1: test failed!\n");
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return false;
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}
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}
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//Interp Type:2
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{
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printf("InterpInt8 test: Type=2\n");
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auto output = _Interp({input, scaleVar}, wScale, hScale, outW, outH, 2, false);
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output = _Convert(output, NHWC);
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output->writeScaleMap(0.031372549, 2.);
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const std::vector<float> expectedOutput = { -1.0000, -1.2500, -1.7500, -2.0000, 0.0000, -0.1250, -0.3750, -0.5000,
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2.0000, 2.1250, 2.3750, 2.5000, 3.0000, 3.2500, 3.7500, 4.0000};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 16, 0.05)) {
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MNN_ERROR("InterpInt8 ResizeType=2 test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim = {1, 4, 4, 1};
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auto gotDim = output->getInfo()->dim;
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if (!checkVector<int>(gotDim.data(), expectedDim.data(), 4, 0)) {
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MNN_ERROR("InterpInt8 ResizeType=2 test failed!\n");
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return false;
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}
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}
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// Interp Type:3
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{
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printf("InterpInt8 test: Type=3\n");
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auto input0 = _Input({1, 2, 2, 1}, NHWC);
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input0->setName("input_tensor");
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input0->writeScaleMap(0.05, 1.f); // Fix quant scale.
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// set input data
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const float inpudata[] = {-1.0, -2.0, 3.0, 4.0};
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auto inputPtr = input0->writeMap<float>();
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memcpy(inputPtr, inpudata, 4 * sizeof(float));
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input0->unMap();
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input0 = _Convert(input0, NC4HW4);
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auto output = _Interp({input0, scaleVar}, wScale, hScale, outW, outH, 3, false);
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output = _Convert(output, NHWC);
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output->writeScaleMap(0.03967, 1.);
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const std::vector<float> expectedOutput = { 2.516724, 2.217651, 2.516724, 2.698303, -0.516724, -0.217651, -0.516724, -0.698303, 2.516724, 2.217651, 2.516724, 2.698303, 4.358459, 3.696228, 4.358459, 4.760529};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 16, 0.02)) {
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MNN_ERROR("InterpType:3 test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim = {1, 4, 4, 1};
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auto gotDim = output->getInfo()->dim;
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if (!checkVector<int>(gotDim.data(), expectedDim.data(), 4, 0)) {
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MNN_ERROR("InterpType:3 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(ResizeTest, "op/resize");
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MNNTestSuiteRegister(InterpTest, "op/Interp");
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MNNTestSuiteRegister(InterpInt8Test, "op/InterpInt8");
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