chore: import upstream snapshot with attribution
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//
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// BinarySpeedTest.cpp
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// MNNTests
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//
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// Created by MNN on 2019/09/17.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include <math.h>
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#include <MNN/expr/Expr.hpp>
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#include <MNN/expr/ExprCreator.hpp>
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#include <MNN/expr/Optimizer.hpp>
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#include <random>
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#define MNN_OPEN_TIME_TRACE
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#include <MNN/AutoTime.hpp>
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#include "MNNTestSuite.h"
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using namespace MNN::Express;
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#define WIDTH 5001
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#define HEIGHT 1001
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#define TIME 100
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class BinarySpeedTest : public MNNTestCase {
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public:
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void SubScalarTest() {
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auto input0 = _Input({WIDTH, HEIGHT}, NCHW);
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auto input1 = _Input({}, NCHW);
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auto output = input0 - input1;
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{
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AUTOTIME;
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for (int i = 0; i < TIME; ++i) {
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input0->writeMap<float>();
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input1->writeMap<float>();
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output->readMap<float>();
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}
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}
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}
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void AddScalarTest() {
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auto input0 = _Input({}, NCHW);
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auto input1 = _Input({WIDTH, HEIGHT}, NCHW);
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auto output = input0 + input1;
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{
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AUTOTIME;
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for (int i = 0; i < TIME; ++i) {
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input0->writeMap<float>();
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input1->writeMap<float>();
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output->readMap<float>();
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}
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}
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}
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void SubTest() {
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auto input0 = _Input({WIDTH, HEIGHT}, NCHW);
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auto input1 = _Input({WIDTH, HEIGHT}, NCHW);
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auto output = input0 - input1;
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{
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AUTOTIME;
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for (int i = 0; i < TIME; ++i) {
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input0->writeMap<float>();
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input1->writeMap<float>();
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output->readMap<float>();
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}
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}
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}
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void AddTest() {
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auto input0 = _Input({WIDTH, HEIGHT}, NCHW);
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auto input1 = _Input({WIDTH, HEIGHT}, NCHW);
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auto output = input0 + input1;
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{
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AUTOTIME;
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for (int i = 0; i < TIME; ++i) {
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input0->writeMap<float>();
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input1->writeMap<float>();
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output->readMap<float>();
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}
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}
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}
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virtual bool run(int precision) {
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printf("Test Binary for %d, %d x %d\n", WIDTH, HEIGHT, TIME);
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auto input0 = _Input({WIDTH, HEIGHT}, NHWC);
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auto input1 = _Input({WIDTH, HEIGHT}, NHWC);
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auto subOutput = input0 - input1;
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auto addOutput = input0 + input1;
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bool res = true;
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// Check Result
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{
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for (int i = 0; i < 2; ++i) {
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auto s0 = input0->writeMap<float>();
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auto s1 = input1->writeMap<float>();
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for (int y = 0; y < HEIGHT; ++y) {
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for (int x = 0; x < WIDTH; ++x) {
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float r0 = ((x * x + y * y * y) % 10000) / 10000.0f;
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float r1 = ((x + y) % 10000) / 10000.0f;
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s0[y * WIDTH + x] = r0;
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s1[y * WIDTH + x] = r1;
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}
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}
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auto subPtr = subOutput->readMap<float>();
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auto addPtr = addOutput->readMap<float>();
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for (int y = 0; y < HEIGHT; ++y) {
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for (int x = 0; x < WIDTH; ++x) {
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auto destSub = s0[y * WIDTH + x] - s1[y * WIDTH + x];
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auto destAdd = s0[y * WIDTH + x] + s1[y * WIDTH + x];
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auto absSub = fabsf(subPtr[y * WIDTH + x] - destSub);
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auto absAdd = fabsf(addPtr[y * WIDTH + x] - destAdd);
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if (absSub > 1e-6 || absAdd > 1e-6) {
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res = false;
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}
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}
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}
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}
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}
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SubTest();
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AddTest();
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SubScalarTest();
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AddScalarTest();
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return res;
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}
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};
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MNNTestSuiteRegister(BinarySpeedTest, "speed/Binary");
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