chore: import upstream snapshot with attribution
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//
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// OneHotTest.cpp
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// MNNTests
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//
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// Created by MNN on 2019/11/29.
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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 OneHotTest : public MNNTestCase {
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virtual ~OneHotTest() = default;
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virtual bool run(int precision) {
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{
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const int indicesData[] = {0, 1, 2};
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const int depthData[] = {3};
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const float onValueData[] = {1.0};
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const float offValueData[] = {0.0};
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const int axis = -1;
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const float expectedValue[] = {
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1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0,
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};
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auto indices = _Const(indicesData, {3}, NHWC, halide_type_of<int>());
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auto depth = _Const(depthData, {1}, NHWC, halide_type_of<int>());
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auto onValue = _Const(onValueData, {1}, NHWC, halide_type_of<float>());
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auto offValue = _Const(offValueData, {1}, NHWC, halide_type_of<float>());
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auto result = _OneHot(indices, depth, onValue, offValue, axis);
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auto resultdata = result->readMap<float>();
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const int size = result->getInfo()->size;
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if (!checkVector<float>(resultdata, expectedValue, size, 0.0)) {
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return false;
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}
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}
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{
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const int indicesData[] = {0, 2, -1, 1};
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const int depthData[] = {3};
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const float onValueData[] = {5.0};
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const float offValueData[] = {0.0};
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const int axis = -1;
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const float expectedValue[] = {
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5.0, 0.0, 0.0, 0.0, 0.0, 5.0, 0.0, 0.0, 0.0, 0.0, 5.0, 0.0,
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};
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auto indices = _Const(indicesData, {4}, NHWC, halide_type_of<int>());
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auto depth = _Const(depthData, {1}, NHWC, halide_type_of<int>());
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auto onValue = _Const(onValueData, {1}, NHWC, halide_type_of<float>());
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auto offValue = _Const(offValueData, {1}, NHWC, halide_type_of<float>());
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auto result = _OneHot(indices, depth, onValue, offValue, axis);
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auto resultdata = result->readMap<float>();
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const int size = result->getInfo()->size;
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if (!checkVector<float>(resultdata, expectedValue, size, 0.0)) {
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return false;
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}
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}
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{
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const int indicesData[] = {0, 2, 1, -1};
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const int depthData[] = {3};
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const float onValueData[] = {1.0};
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const float offValueData[] = {0.0};
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const int axis = -1;
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const float expectedValue[] = {1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0};
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auto indices = _Const(indicesData, {2, 2}, NHWC, halide_type_of<int>());
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auto depth = _Const(depthData, {1}, NHWC, halide_type_of<int>());
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auto onValue = _Const(onValueData, {1}, NHWC, halide_type_of<float>());
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auto offValue = _Const(offValueData, {1}, NHWC, halide_type_of<float>());
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auto result = _OneHot(indices, depth, onValue, offValue, axis);
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auto resultdata = result->readMap<float>();
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const int size = result->getInfo()->size;
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if (!checkVector<float>(resultdata, expectedValue, size, 0.0)) {
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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(OneHotTest, "op/OneHotTest");
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