mirror of https://github.com/alibaba/MNN.git
319 lines
12 KiB
C++
319 lines
12 KiB
C++
//
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// BinaryOPTest.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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using namespace std;
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class BinaryTestCommon : public MNNTestCase {
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protected:
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template<typename Tin, typename Tout>
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bool test(VARP (*opFunc)(VARP, VARP), string name, Tout threshold,
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const vector<Tin>& data_x, const vector<Tin>& data_y, const vector<Tout>& data_out,
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const vector<int>& shape_x, const vector<int>& shape_y, const vector<int>& shape_out) {
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int size_x = 1, size_y = 1, size_out = 1;
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for (int i = 0; i < shape_x.size(); ++i) {
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size_x *= shape_x[i];
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}
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for (int i = 0; i < shape_y.size(); ++i) {
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size_y *= shape_y[i];
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}
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for (int i = 0; i < shape_y.size(); ++i) {
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size_out *= shape_out[i];
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}
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auto input_x = _Input(shape_x, NCHW, halide_type_of<Tin>());
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auto input_y = _Input(shape_y, NCHW, halide_type_of<Tin>());
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input_x->setName("input_x");
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input_y->setName("input_y");
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// set input data
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auto ptr_x = input_x->template writeMap<Tin>();
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auto ptr_y = input_y->template writeMap<Tin>();
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memcpy(ptr_x, data_x.data(), size_x * sizeof(Tin));
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memcpy(ptr_y, data_y.data(), size_y * sizeof(Tin));
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input_x->unMap();
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input_y->unMap();
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auto output = opFunc(input_x, input_y);
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auto gotOutput = output->template readMap<Tout>();
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auto shape_got = output->getInfo()->dim;
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if (shape_got.size() != shape_out.size()) {
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MNN_ERROR("%s shape compute error!\n", name.c_str());
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return false;
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}
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for (int i = 0; i < shape_got.size(); i++) {
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if (shape_got[i] != shape_out[i]) {
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MNN_ERROR("%s shape compute error!\n", name.c_str());
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return false;
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}
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}
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if (!checkVector<Tout>(gotOutput, data_out.data(), size_out, threshold)) {
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MNN_ERROR("%s test failed!\n", name.c_str());
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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 AddTest : public BinaryTestCommon {
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public:
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virtual ~AddTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_Add, "AddTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0}, {1.0, 2.0, 3.0, 4.0}, {0.0, 0.0, 0.0, 0.0},
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{4}, {4}, {4});
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}
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};
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class SubtractTest : public BinaryTestCommon {
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public:
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virtual ~SubtractTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_Subtract, "SubtractTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0}, {1.0, 2.0, 3.0, 4.0}, {-2.0, -4.0, -6.0, -8.0},
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{4}, {4}, {4});
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}
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};
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class MultiplyTest : public BinaryTestCommon {
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public:
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virtual ~MultiplyTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_Multiply, "MultiplyTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0}, {1.0, 2.0, 3.0, 4.0}, {-1.0, -4.0, -9.0, -16.0},
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{4}, {4}, {4});
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}
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};
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class DivideTest : public BinaryTestCommon {
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public:
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virtual ~DivideTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_Divide, "DivideTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0}, {2.0, 4.0, 6.0, 8.0}, {-0.5, -0.5, -0.5, -0.5},
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{4}, {4}, {4});
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}
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};
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class PowTest : public BinaryTestCommon {
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public:
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virtual ~PowTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_Pow, "PowTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0}, {2.0, 4.0, 6.0, 4.0}, {1.0, 16.0, 729.0, 256.0},
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{4}, {4}, {4});
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}
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};
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class MinimumTest : public BinaryTestCommon {
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public:
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virtual ~MinimumTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_Minimum, "MinimumTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0}, {1.0, 2.0, 3.0, 4.0}, {-1.0, -2.0, -3.0, -4.0},
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{4}, {4}, {4});
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}
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};
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class MaximumTest : public BinaryTestCommon {
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public:
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virtual ~MaximumTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(MNN::Express::_Maximum, "MaximumTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0}, {2.0, 4.0, 6.0, 8.0}, {2.0, 4.0, 6.0, 8.0},
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{4}, {4}, {4});
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}
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};
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class BiasAddTest : public BinaryTestCommon {
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public:
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virtual ~BiasAddTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_BiasAdd, "BiasAddTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0},
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{1.0, 2.0},
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{0.0, 0.0, -2.0, -2.0, -4.0, -4.0, -6.0, -6.0},
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{4, 2}, {2}, {4, 2});
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}
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};
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class GreaterTest : public BinaryTestCommon {
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public:
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virtual ~GreaterTest() = default;
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virtual bool run(int precision) {
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return test<float, int>(_Greater, "GreaterTest", 0,
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{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0},
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{3.0, 4.0},
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{0, 0, 0, 0, 1, 1, 1, 1},
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{4, 2}, {2}, {4, 2});
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}
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};
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class GreaterEqualTest : public BinaryTestCommon {
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public:
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virtual ~GreaterEqualTest() = default;
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virtual bool run(int precision) {
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return test<float, int>(_GreaterEqual, "GreaterEqualTest", 0,
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{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0},
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{3.0, 4.0},
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{0, 0, 1, 1, 1, 1, 1, 1},
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{4, 2}, {2}, {4, 2});
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}
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};
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class LessTest : public BinaryTestCommon {
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public:
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virtual ~LessTest() = default;
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virtual bool run(int precision) {
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return test<float, int>(_Less, "LessTest", 0,
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{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0},
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{3.0, 4.0},
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{1, 1, 0, 0, 0, 0, 0, 0},
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{4, 2}, {2}, {4, 2});
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}
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};
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class FloorDivTest : public BinaryTestCommon {
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public:
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virtual ~FloorDivTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_FloorDiv, "FloorDivTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0, 5.0, 6.0, 7.0, 8.1},
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{3.0, 4.0},
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{-1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 2.0, 2.0},
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{4, 2}, {2}, {4, 2});
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}
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};
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class SquaredDifferenceTest : public BinaryTestCommon {
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public:
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virtual ~SquaredDifferenceTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_SquaredDifference, "SquaredDifferenceTest", 0.01,
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{-1.0, -2.0, -3.0, -4.0, 5.0, 6.0, 7.0, 8.001},
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{3.0, 4.0},
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{16.0, 36.0, 36.0, 64.0, 4.0, 4.0, 16.0, 16.0},
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{4, 2}, {2}, {4, 2});
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}
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};
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class EqualTest : public BinaryTestCommon {
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public:
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virtual ~EqualTest() = default;
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virtual bool run(int precision) {
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return test<float, int>(_Equal, "EqualTest", 0,
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{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0},
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{3.0, 4.0},
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{0, 0, 1, 1, 0, 0, 0, 0},
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{4, 2}, {2}, {4, 2});
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}
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};
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class LessEqualTest : public BinaryTestCommon {
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public:
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virtual ~LessEqualTest() = default;
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virtual bool run(int precision) {
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return test<float, int>(_LessEqual, "LessEqualTest", 0,
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{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0},
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{3.0, 4.0},
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{1, 1, 1, 1, 0, 0, 0, 0},
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{4, 2}, {2}, {4, 2});
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}
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};
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class FloorModTest : public BinaryTestCommon {
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public:
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virtual ~FloorModTest() = default;
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virtual bool run(int precision) {
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return test<float, float>(_FloorMod, "FloorModTest", 0.01,
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{-1.0f, -2.0f, -3.0f, -4.0f, 5.0f, 6.0f, 7.0f, 8.1f},
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{3.0f, 4.0f},
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{2.0f, 2.0f, 0.0f, 0.0f, 2.0f, 2.0f, 1.0f, 0.1f},
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{4, 2}, {2}, {4, 2});
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}
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};
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class Atan2Test : public BinaryTestCommon {
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public:
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virtual ~Atan2Test() = default;
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virtual bool run(int precision) {
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return test<float, float>(_Atan2, "Atan2Test", 0.01,
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{-1.0, -2.0, -3.0, -4.0, 5.0, 6.0, 7.0, 8.0},
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{3.0, 4.0},
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{-0.32175055, -0.4636476, -0.7853982, -0.7853982, 1.0303768, 0.98279375, 1.1659045, 1.1071488},
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{4, 2}, {2}, {4, 2});
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}
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};
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class LogicalOrTest : public BinaryTestCommon {
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public:
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virtual ~LogicalOrTest() = default;
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virtual bool run(int precision) {
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return test<int, int>(_LogicalOr, "LogicalOrTest", 0,
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{true, false, true, false, false, true, true, false},
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{true, false},
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{true, false, true, false, true, true, true, false},
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{4, 2}, {2}, {4, 2});
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}
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};
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class NotEqualTest : public BinaryTestCommon {
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public:
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virtual ~NotEqualTest() = default;
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virtual bool run(int precision) {
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return test<int, int>(_NotEqual, "NotEqualTest", 0,
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{true, false, true, false, false, true, true, false},
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{true, false},
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{false, false, false, false, true, true, false, false},
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{4, 2}, {2}, {4, 2});
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}
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};
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class BinaryBroadcastShapeTest : public BinaryTestCommon {
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public:
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virtual ~BinaryBroadcastShapeTest() = default;
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virtual bool run(int precision) {
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vector<int> data_x(8, 1), data_y(8, 1), data_out(64, 2);
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vector<int> shape_x = {4, 1, 2, 1}, shape_y = {2, 1, 4}, shape_out = {4, 2, 2, 4};
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return test<int, int>(_Add, "BinaryBroadcastShapeTest", 0,
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data_x, data_y, data_out, shape_x, shape_y, shape_out);
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}
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};
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class SubtractBroastTest : public BinaryTestCommon {
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public:
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virtual ~SubtractBroastTest() = default;
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virtual bool run(int precision) {
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vector<float> data_x(560), data_y(20 * 560), data_out(20 * 560);
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vector<int> shape_x = {560}, shape_y = {1, 20, 560}, shape_out = {1, 20, 560};
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for (int i = 0; i < 560; ++i) {
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data_x[i] = i / 1000.0f;
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}
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for (int i = 0; i < 560 * 20; ++i) {
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data_y[i] = i / 1000.0f;
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}
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for (int i = 0; i < 20; ++i) {
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for (int j = 0; j < 560; ++j) {
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data_out[j + i * 560] = data_x[j] - data_y[j + i * 560];
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}
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}
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return test<float, float>(_Subtract, "SubtractBroastTest", 0.01,
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data_x, data_y, data_out, shape_x, shape_y, shape_out);
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}
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};
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MNNTestSuiteRegister(BinaryBroadcastShapeTest, "op/binary/broadcastShapeTest");
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MNNTestSuiteRegister(AddTest, "op/binary/add");
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MNNTestSuiteRegister(SubtractTest, "op/binary/subtract");
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MNNTestSuiteRegister(MultiplyTest, "op/binary/multiply");
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MNNTestSuiteRegister(DivideTest, "op/binary/divide");
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MNNTestSuiteRegister(PowTest, "op/binary/pow");
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MNNTestSuiteRegister(MinimumTest, "op/binary/minimum");
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MNNTestSuiteRegister(MaximumTest, "op/binary/maximum");
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MNNTestSuiteRegister(BiasAddTest, "op/binary/biasadd");
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MNNTestSuiteRegister(GreaterTest, "op/binary/greater");
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MNNTestSuiteRegister(GreaterEqualTest, "op/binary/greaterequal");
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MNNTestSuiteRegister(LessTest, "op/binary/less");
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MNNTestSuiteRegister(FloorDivTest, "op/binary/floordiv");
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MNNTestSuiteRegister(SquaredDifferenceTest, "op/binary/squareddifference");
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MNNTestSuiteRegister(EqualTest, "op/binary/equal");
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MNNTestSuiteRegister(LessEqualTest, "op/binary/lessequal");
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MNNTestSuiteRegister(FloorModTest, "op/binary/floormod");
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MNNTestSuiteRegister(Atan2Test, "op/binary/atan2");
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MNNTestSuiteRegister(LogicalOrTest, "op/binary/logicalor");
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MNNTestSuiteRegister(NotEqualTest, "op/binary/notqual");
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MNNTestSuiteRegister(SubtractBroastTest, "op/binary/subtractBroastTest");
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