98 lines
2.5 KiB
C++
98 lines
2.5 KiB
C++
// Copyright (c) Facebook, Inc. and its affiliates.
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// All rights reserved.
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//
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// Copyright 2019 Google LLC
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//
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree.
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#pragma once
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#include <gtest/gtest.h>
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#include <algorithm>
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#include <array>
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#include <cassert>
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#include <cstddef>
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#include <cstdlib>
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#include <functional>
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#include <limits>
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#include <random>
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#include <vector>
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#include <xnnpack/common.h>
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#include <xnnpack/params.h>
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class LUTMicrokernelTester {
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public:
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inline LUTMicrokernelTester& batch_size(size_t batch_size) {
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assert(batch_size != 0);
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this->batch_size_ = batch_size;
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return *this;
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}
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inline size_t batch_size() const {
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return this->batch_size_;
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}
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inline LUTMicrokernelTester& inplace(bool inplace) {
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this->inplace_ = inplace;
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return *this;
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}
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inline bool inplace() const {
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return this->inplace_;
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}
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inline LUTMicrokernelTester& iterations(size_t iterations) {
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this->iterations_ = iterations;
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return *this;
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}
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inline size_t iterations() const {
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return this->iterations_;
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}
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void Test(xnn_x8_lut_ukernel_function lut) const {
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto u8rng = std::bind(
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std::uniform_int_distribution<uint32_t>(0, std::numeric_limits<uint8_t>::max()), std::ref(rng));
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std::vector<uint8_t> x(batch_size() + XNN_EXTRA_BYTES / sizeof(uint8_t));
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XNN_ALIGN(64) std::array<uint8_t, 256> t;
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std::vector<uint8_t> y(batch_size() + (inplace() ? XNN_EXTRA_BYTES / sizeof(uint8_t) : 0));
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std::vector<uint8_t> y_ref(batch_size());
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for (size_t iteration = 0; iteration < iterations(); iteration++) {
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std::generate(x.begin(), x.end(), std::ref(u8rng));
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std::generate(t.begin(), t.end(), std::ref(u8rng));
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if (inplace()) {
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std::generate(y.begin(), y.end(), std::ref(u8rng));
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} else {
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std::fill(y.begin(), y.end(), 0xA5);
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}
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const uint8_t* x_data = inplace() ? y.data() : x.data();
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// Compute reference results.
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for (size_t i = 0; i < batch_size(); i++) {
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y_ref[i] = t[x_data[i]];
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}
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// Call optimized micro-kernel.
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lut(batch_size(), x_data, y.data(), t.data());
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// Verify results.
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for (size_t i = 0; i < batch_size(); i++) {
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ASSERT_EQ(uint32_t(y_ref[i]), uint32_t(y[i]))
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<< "at position " << i << " / " << batch_size();
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}
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}
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}
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private:
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size_t batch_size_{1};
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bool inplace_{false};
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size_t iterations_{15};
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};
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