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Marat Dukhan97579532019-10-18 16:40:39 -07001// Copyright 2019 Google LLC
2//
3// This source code is licensed under the BSD-style license found in the
4// LICENSE file in the root directory of this source tree.
5
6#pragma once
7
8#include <gtest/gtest.h>
9
10#include <algorithm>
11#include <cassert>
12#include <cstddef>
13#include <cstdlib>
14#include <functional>
15#include <random>
16#include <vector>
17
18#include <xnnpack.h>
19#include <xnnpack/params.h>
20
21
22class RAddExpMinusMaxMicrokernelTester {
23 public:
Marat Dukhan4c4eb002019-12-08 21:27:49 -080024 inline RAddExpMinusMaxMicrokernelTester& elements(size_t elements) {
25 assert(elements != 0);
26 this->elements_ = elements;
Marat Dukhan97579532019-10-18 16:40:39 -070027 return *this;
28 }
29
Marat Dukhan4c4eb002019-12-08 21:27:49 -080030 inline size_t elements() const {
31 return this->elements_;
Marat Dukhan97579532019-10-18 16:40:39 -070032 }
33
34 inline RAddExpMinusMaxMicrokernelTester& iterations(size_t iterations) {
35 this->iterations_ = iterations;
36 return *this;
37 }
38
39 inline size_t iterations() const {
40 return this->iterations_;
41 }
42
Marat Dukhan4c4eb002019-12-08 21:27:49 -080043 void Test(xnn_f32_raddexpminusmax_ukernel_function raddexpminusmax) const {
Marat Dukhan97579532019-10-18 16:40:39 -070044 std::random_device random_device;
45 auto rng = std::mt19937(random_device());
46 // Choose such range that expf(x[i]) overflows, but expf(x[i] - x_max) doesn't.
47 // However, the range is still narrow enough that double-precision exp doesn't overflow.
48 auto f32rng = std::bind(std::uniform_real_distribution<float>(90.0f, 100.0f), rng);
49
Marat Dukhan4c4eb002019-12-08 21:27:49 -080050 std::vector<float> x(elements() + XNN_EXTRA_BYTES / sizeof(float));
Marat Dukhan97579532019-10-18 16:40:39 -070051 for (size_t iteration = 0; iteration < iterations(); iteration++) {
52 std::generate(x.begin(), x.end(), std::ref(f32rng));
53
54 // Compute reference results.
55 double sum_ref = 0.0f;
Marat Dukhan4c4eb002019-12-08 21:27:49 -080056 const float x_max = *std::max_element(x.begin(), x.begin() + elements());
57 for (size_t i = 0; i < elements(); i++) {
Marat Dukhan97579532019-10-18 16:40:39 -070058 sum_ref += exp(x[i] - x_max);
59 }
60
61 // Call optimized micro-kernel.
62 float sum = std::nanf("");
Marat Dukhan4c4eb002019-12-08 21:27:49 -080063 raddexpminusmax(elements() * sizeof(float), x.data(), &sum, x_max);
Marat Dukhan97579532019-10-18 16:40:39 -070064
65 // Verify results.
66 ASSERT_NEAR(sum_ref, double(sum), std::abs(sum_ref) * 1.0e-6)
Marat Dukhan4c4eb002019-12-08 21:27:49 -080067 << "elements = " << elements() << ", x_max = " << x_max;
Marat Dukhan97579532019-10-18 16:40:39 -070068 }
69 }
70
71 private:
Marat Dukhan4c4eb002019-12-08 21:27:49 -080072 size_t elements_{1};
Marat Dukhan97579532019-10-18 16:40:39 -070073 size_t iterations_{15};
74};