102 lines
2.5 KiB
C++
102 lines
2.5 KiB
C++
// Copyright 2022 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 <cassert>
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#include <cmath>
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#include <cstddef>
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#include <cstdlib>
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#include <random>
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#include <vector>
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#include <xnnpack.h>
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#include <xnnpack/microfnptr.h>
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class VLShiftMicrokernelTester {
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public:
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inline VLShiftMicrokernelTester& batch(size_t batch) {
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assert(batch != 0);
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this->batch_ = batch;
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return *this;
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}
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inline size_t batch() const {
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return this->batch_;
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}
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inline VLShiftMicrokernelTester& shift(uint32_t shift) {
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assert(shift < 32);
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this->shift_ = shift;
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return *this;
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}
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inline uint32_t shift() const {
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return this->shift_;
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}
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inline VLShiftMicrokernelTester& 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 VLShiftMicrokernelTester& 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_s16_vlshift_ukernel_function vlshift) 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 i16rng = std::bind(std::uniform_int_distribution<int16_t>(), std::ref(rng));
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std::vector<int16_t> x(batch() + XNN_EXTRA_BYTES / sizeof(int16_t));
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std::vector<int16_t> y(batch() + (inplace() ? XNN_EXTRA_BYTES / sizeof(int16_t) : 0));
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std::vector<int16_t> y_ref(batch());
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const int16_t* x_data = inplace() ? y.data() : x.data();
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for (size_t iteration = 0; iteration < iterations(); iteration++) {
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std::generate(x.begin(), x.end(), std::ref(i16rng));
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std::generate(y.begin(), y.end(), std::ref(i16rng));
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std::generate(y_ref.begin(), y_ref.end(), std::ref(i16rng));
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// Compute reference results.
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for (size_t n = 0; n < batch(); n++) {
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const uint16_t i = static_cast<uint16_t>(x_data[n]);
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uint16_t value = i << shift();
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y_ref[n] = reinterpret_cast<uint16_t>(value);
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}
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// Call optimized micro-kernel.
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vlshift(batch(), x_data, y.data(), shift());
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// Verify results.
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for (size_t n = 0; n < batch(); n++) {
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ASSERT_EQ(y[n], y_ref[n])
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<< ", shift " << shift()
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<< ", batch " << n << " / " << batch();
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}
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}
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}
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private:
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size_t batch_{1};
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uint32_t shift_{12};
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bool inplace_{false};
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size_t iterations_{15};
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};
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