blob: 7c2635362a056c7f28b479af67559b97759152b5 [file] [log] [blame]
// Copyright 2020 Google LLC
//
// 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 <gtest/gtest.h>
#include <array>
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include <functional>
#include <random>
#include <vector>
#include <xnnpack.h>
#include <xnnpack/params.h>
class FillMicrokernelTester {
public:
inline FillMicrokernelTester& rows(size_t rows) {
assert(rows != 0);
this->rows_ = rows;
return *this;
}
inline size_t rows() const {
return this->rows_;
}
inline FillMicrokernelTester& channels(size_t channels) {
assert(channels != 0);
this->channels_ = channels;
return *this;
}
inline size_t channels() const {
return this->channels_;
}
inline FillMicrokernelTester& output_stride(size_t output_stride) {
assert(output_stride != 0);
this->output_stride_ = output_stride;
return *this;
}
inline size_t output_stride() const {
if (this->output_stride_ == 0) {
return channels();
} else {
return this->output_stride_;
}
}
inline FillMicrokernelTester& iterations(size_t iterations) {
this->iterations_ = iterations;
return *this;
}
inline size_t iterations() const {
return this->iterations_;
}
void Test(xnn_fill_ukernel_function fill) const {
ASSERT_GE(output_stride(), channels());
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto u8rng = std::bind(std::uniform_int_distribution<uint32_t>(0, std::numeric_limits<uint8_t>::max()), rng);
std::vector<uint8_t> output((rows() - 1) * output_stride() + channels());
std::vector<uint8_t> output_copy(output.size());
for (size_t iteration = 0; iteration < iterations(); iteration++) {
std::generate(output.begin(), output.end(), std::ref(u8rng));
std::copy(output.cbegin(), output.cend(), output_copy.begin());
std::array<uint8_t, 4> fill_pattern;
std::generate(fill_pattern.begin(), fill_pattern.end(), std::ref(u8rng));
uint32_t fill_value = 0;
memcpy(&fill_value, fill_pattern.data(), sizeof(fill_value));
// Call optimized micro-kernel.
fill(
rows(),
channels() * sizeof(uint8_t),
output.data(),
output_stride() * sizeof(uint8_t),
fill_value);
// Verify results.
for (size_t i = 0; i < rows(); i++) {
for (size_t c = 0; c < channels(); c++) {
ASSERT_EQ(uint32_t(output[i * output_stride() + c]), uint32_t(fill_pattern[c % fill_pattern.size()]))
<< "at row " << i << " / " << rows()
<< ", channel " << c << " / " << channels()
<< ", fill value 0x" << std::hex << std::setw(8) << std::setfill('0') << fill_value
<< ", output value 0x" << std::hex << std::setw(8) << std::setfill('0') << output[i * output_stride() + c];
}
}
for (size_t i = 0; i + 1 < rows(); i++) {
for (size_t c = channels(); c < output_stride(); c++) {
ASSERT_EQ(uint32_t(output[i * output_stride() + c]), uint32_t(output_copy[i * output_stride() + c]))
<< "at row " << i << " / " << rows()
<< ", channel " << c << " / " << channels()
<< ", original value 0x" << std::hex << std::setw(8) << std::setfill('0')
<< output_copy[i * output_stride() + c]
<< ", output value 0x" << std::hex << std::setw(8) << std::setfill('0') << output[i * output_stride() + c];
}
}
}
}
private:
size_t rows_{1};
size_t channels_{1};
size_t output_stride_{0};
size_t iterations_{15};
};