1 // 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-init.h> 20 #include <xnnpack/params.h> 21 22 23 class VScaleMicrokernelTester { 24 public: 25 enum class Variant { 26 Native, 27 Scalar, 28 }; 29 n(size_t n)30 inline VScaleMicrokernelTester& n(size_t n) { 31 assert(n != 0); 32 this->n_ = n; 33 return *this; 34 } 35 n()36 inline size_t n() const { 37 return this->n_; 38 } 39 inplace(bool inplace)40 inline VScaleMicrokernelTester& inplace(bool inplace) { 41 this->inplace_ = inplace; 42 return *this; 43 } 44 inplace()45 inline bool inplace() const { 46 return this->inplace_; 47 } 48 iterations(size_t iterations)49 inline VScaleMicrokernelTester& iterations(size_t iterations) { 50 this->iterations_ = iterations; 51 return *this; 52 } 53 iterations()54 inline size_t iterations() const { 55 return this->iterations_; 56 } 57 58 void Test(xnn_f32_vscale_ukernel_function vscale, Variant variant = Variant::Native) const { 59 std::random_device random_device; 60 auto rng = std::mt19937(random_device()); 61 auto f32rng = std::bind(std::uniform_real_distribution<float>(-1.0f, 1.0f), rng); 62 63 std::vector<float> x(n() + XNN_EXTRA_BYTES / sizeof(float)); 64 std::vector<float> y(n() + (inplace() ? XNN_EXTRA_BYTES / sizeof(float) : 0)); 65 std::vector<float> y_ref(n()); 66 for (size_t iteration = 0; iteration < iterations(); iteration++) { 67 if (inplace()) { 68 std::generate(y.begin(), y.end(), std::ref(f32rng)); 69 } else { 70 std::generate(x.begin(), x.end(), std::ref(f32rng)); 71 std::fill(y.begin(), y.end(), nanf("")); 72 } 73 const float c = f32rng(); 74 const float* x_data = inplace() ? y.data() : x.data(); 75 76 // Compute reference results. 77 for (size_t i = 0; i < n(); i++) { 78 y_ref[i] = x_data[i] * c; 79 } 80 81 // Call optimized micro-kernel. 82 vscale(n() * sizeof(float), x_data, y.data(), c); 83 84 // Verify results. 85 for (size_t i = 0; i < n(); i++) { 86 ASSERT_NEAR(y[i], y_ref[i], std::abs(y_ref[i]) * 1.0e-6f) 87 << "at " << i << ", n = " << n(); 88 } 89 } 90 } 91 92 private: 93 size_t n_{1}; 94 size_t iterations_{15}; 95 bool inplace_{false}; 96 }; 97