/* * Copyright (c) Facebook, Inc. and its affiliates. * All rights reserved. * * 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 #include #include #include #include #include #include #include class LUTMicrokernelTester { public: inline LUTMicrokernelTester& n(size_t n) { assert(n != 0); this->n_ = n; return *this; } inline size_t n() const { return this->n_; } inline LUTMicrokernelTester& inplace(bool inplace) { this->inplace_ = inplace; return *this; } inline bool inplace() const { return this->inplace_; } inline LUTMicrokernelTester& iterations(size_t iterations) { this->iterations_ = iterations; return *this; } inline size_t iterations() const { return this->iterations_; } void test(pytorch_x8lut_ukernel_function x8lut) const { std::random_device randomDevice; auto rng = std::mt19937(randomDevice()); auto u8rng = std::bind(std::uniform_int_distribution(), rng); std::vector x(n()); std::vector t(256); std::vector y(n()); std::vector yRef(n()); for (size_t iteration = 0; iteration < iterations(); iteration++) { std::generate(x.begin(), x.end(), std::ref(u8rng)); std::generate(t.begin(), t.end(), std::ref(u8rng)); if (inplace()) { std::generate(y.begin(), y.end(), std::ref(u8rng)); } else { std::fill(y.begin(), y.end(), 0xA5); } const uint8_t* xData = inplace() ? y.data() : x.data(); /* Compute reference results */ for (size_t i = 0; i < n(); i++) { yRef[i] = t[xData[i]]; } /* Call optimized micro-kernel */ x8lut(n(), xData, t.data(), y.data()); /* Verify results */ for (size_t i = 0; i < n(); i++) { ASSERT_EQ(uint32_t(yRef[i]), uint32_t(y[i])) << "at position " << i << ", n = " << n(); } } } private: size_t n_{1}; bool inplace_{false}; size_t iterations_{15}; };