mirror of https://github.com/alibaba/MNN.git
125 lines
5.5 KiB
C++
125 lines
5.5 KiB
C++
//
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// ScatterElementsTest.cpp
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// MNNTests
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//
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// Created by MNN on 2022/06/29.
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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 ScatterElementsTest : public MNNTestCase {
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virtual ~ScatterElementsTest() = default;
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virtual bool run(int precision) {
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{
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const float dataData[] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0};
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const int indicesData[] = {1, 0, 2, 0, 2, 1};
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const float updatesData[] = {1.0, 1.1, 1.2, 2.0, 2.1, 2.2};
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const float expectedData[] = {2.0, 1.1, 0.0, 1.0, 0.0, 2.2, 0.0, 2.1, 1.2};
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{
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auto data = _Const(dataData, {3, 3}, NHWC, halide_type_of<float>());
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auto indices = _Const(indicesData, {2, 3}, NHWC, halide_type_of<int>());
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auto updates = _Const(updatesData, {2, 3}, NHWC, halide_type_of<float>());
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auto output = _ScatterElements(data, indices, updates);
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auto outputData = output->readMap<float>();
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const int size = output->getInfo()->size;
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if (!checkVector<float>(outputData, expectedData, size, 0.001)) {
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FUNC_PRINT(1);
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return false;
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}
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}
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{
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auto data = _Const(dataData, {3, 3}, NHWC, halide_type_of<float>());
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auto indices = _Const(nullptr, {0, 3}, NHWC, halide_type_of<int>());
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auto updates = _Const(updatesData, {2, 3}, NHWC, halide_type_of<float>());
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auto output = _ScatterElements(data, indices, updates);
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auto outputData = output->readMap<float>();
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const int size = output->getInfo()->size;
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if (!checkVector<float>(outputData, dataData, size, 0.001)) {
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FUNC_PRINT(1);
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return false;
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}
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}
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}
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{
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const float dataData[] = {1.0, 2.0, 3.0, 4.0, 5.0};
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const int indicesData[] = {1, 3};
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const float updatesData[] = {1.1, 2.1};
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const float expectedData[] = {1.0, 1.1, 3.0, 2.1, 5.0};
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auto data = _Const(dataData, {1, 5}, NHWC, halide_type_of<float>());
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auto indices = _Const(indicesData, {1, 2}, NHWC, halide_type_of<int>());
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auto updates = _Const(updatesData, {1, 2}, NHWC, halide_type_of<float>());
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auto output = _ScatterElements(data, indices, updates, _Scalar(1));
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auto outputData = output->readMap<float>();
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const int size = output->getInfo()->size;
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if (!checkVector<float>(outputData, expectedData, size, 0.001)) {
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return false;
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}
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}
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{
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const float dataData[] = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
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const int indicesData[] = {0, 1, 2, 0, 1, 4};
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const float updatesData[] = {1, 2, 3, 6, 7, 8};
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const float expectedData[] = {1, 2, 3, 0, 0, 6, 7, 0, 0, 8, 0, 0, 0, 0, 0};
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auto data = _Const(dataData, {3, 5}, NHWC, halide_type_of<float>());
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auto indices = _Const(indicesData, {2, 3}, NHWC, halide_type_of<int>());
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auto updates = _Const(updatesData, {2, 3}, NHWC, halide_type_of<float>());
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auto output = _ScatterElements(data, indices, updates, _Scalar(1));
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auto outputData = output->readMap<float>();
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const int size = output->getInfo()->size;
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if (!checkVector<float>(outputData, expectedData, size, 0.001)) {
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return false;
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}
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}
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{
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const float dataData[] = {1.0, 2.0, 3.0, 4.0, 5.0};
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const int indicesData[] = {1, 1};
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const float updatesData[] = {1.1, 2.1};
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const float expectedData[] = {1.0, 5.2, 3.0, 4.0, 5.0};
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auto data = _Const(dataData, {1, 5}, NHWC, halide_type_of<float>());
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auto indices = _Const(indicesData, {1, 2}, NHWC, halide_type_of<int>());
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auto updates = _Const(updatesData, {1, 2}, NHWC, halide_type_of<float>());
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auto output = _ScatterElements(data, indices, updates, _Scalar(1), MNN::BinaryOpOperation_ADD);
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auto outputData = output->readMap<float>();
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const int size = output->getInfo()->size;
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if (!checkVector<float>(outputData, expectedData, size, 0.001)) {
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return false;
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}
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}
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{
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const float dataData[] = {1.0, 2.0, 3.0, 4.0, 5.0};
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const int indicesData[] = {1, 1};
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const float updatesData[] = {1.1, 2.1};
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const float expectedData[] = {1.0, 4.62, 3.0, 4.0, 5.0};
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auto data = _Const(dataData, {1, 5}, NHWC, halide_type_of<float>());
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auto indices = _Const(indicesData, {1, 2}, NHWC, halide_type_of<int>());
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auto updates = _Const(updatesData, {1, 2}, NHWC, halide_type_of<float>());
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auto output = _ScatterElements(data, indices, updates, _Scalar(1), MNN::BinaryOpOperation_MUL);
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auto outputData = output->readMap<float>();
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const int size = output->getInfo()->size;
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if (!checkVector<float>(outputData, expectedData, size, 0.001)) {
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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(ScatterElementsTest, "op/ScatterElementsTest");
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