blob: 9025328b7ef409750e4b8fc5f2dff014ddd374ef [file] [log] [blame]
// Copyright (c) Facebook, Inc. and its affiliates.
// All rights reserved.
//
// Copyright 2019 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#pragma once
#include <gtest/gtest.h>
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include <functional>
#include <limits>
#include <random>
#include <vector>
#include <xnnpack/params.h>
class RMaxMicrokernelTester {
public:
inline RMaxMicrokernelTester& n(size_t n) {
assert(n != 0);
this->n_ = n;
return *this;
}
inline size_t n() const {
return this->n_;
}
inline RMaxMicrokernelTester& iterations(size_t iterations) {
this->iterations_ = iterations;
return *this;
}
inline size_t iterations() const {
return this->iterations_;
}
void Test(xnn_u8_rmax_ukernel_function rmax) const {
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto u8rng = std::bind(std::uniform_int_distribution<uint32_t>(0, std::numeric_limits<uint8_t>::max()), rng);
std::vector<uint8_t> x(n());
for (size_t iteration = 0; iteration < iterations(); iteration++) {
std::generate(x.begin(), x.end(), std::ref(u8rng));
// Compute reference results.
uint8_t y_ref = 0;
for (size_t i = 0; i < n(); i++) {
y_ref = std::max(y_ref, x[i]);
}
// Call optimized micro-kernel.
uint8_t y = u8rng();
rmax(n() * sizeof(uint8_t), x.data(), &y);
// Verify results.
ASSERT_EQ(y_ref, y) << "n = " << n();
}
}
void Test(xnn_f32_rmax_ukernel_function rmax) const {
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto f32rng = std::bind(std::uniform_real_distribution<float>(), rng);
std::vector<float> x(n());
for (size_t iteration = 0; iteration < iterations(); iteration++) {
std::generate(x.begin(), x.end(), std::ref(f32rng));
// Compute reference results.
float y_ref = 0;
for (size_t i = 0; i < n(); i++) {
y_ref = std::max(y_ref, x[i]);
}
// Call optimized micro-kernel.
float y = std::nanf("");
rmax(n() * sizeof(float), x.data(), &y);
// Verify results.
ASSERT_EQ(y_ref, y) << "n = " << n();
}
}
private:
size_t n_{1};
size_t iterations_{15};
};