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// Copyright 2019 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 <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include <functional>
#include <random>
#include <vector>
#include <xnnpack.h>
#include <xnnpack/params.h>
class PadMicrokernelTester {
public:
inline PadMicrokernelTester& rows(size_t rows) {
assert(rows != 0);
this->rows_ = rows;
return *this;
}
inline size_t rows() const {
return this->rows_;
}
inline PadMicrokernelTester& input_channels(size_t input_channels) {
assert(input_channels != 0);
this->input_channels_ = input_channels;
return *this;
}
inline size_t input_channels() const {
return this->input_channels_;
}
inline PadMicrokernelTester& pre_padding(size_t pre_padding) {
this->pre_padding_ = pre_padding;
return *this;
}
inline size_t pre_padding() const {
return this->pre_padding_;
}
inline PadMicrokernelTester& post_padding(size_t post_padding) {
this->post_padding_ = post_padding;
return *this;
}
inline size_t post_padding() const {
return this->post_padding_;
}
inline size_t output_channels() const {
return pre_padding() + input_channels() + post_padding();
}
inline PadMicrokernelTester& input_stride(size_t input_stride) {
assert(input_stride != 0);
this->input_stride_ = input_stride;
return *this;
}
inline size_t input_stride() const {
if (this->input_stride_ == 0) {
return input_channels();
} else {
assert(this->input_stride_ >= input_channels());
return this->input_stride_;
}
}
inline PadMicrokernelTester& 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 pre_padding() + input_channels() + post_padding();
} else {
assert(this->output_stride_ >= pre_padding() + input_channels() + post_padding());
return this->output_stride_;
}
}
inline PadMicrokernelTester& iterations(size_t iterations) {
this->iterations_ = iterations;
return *this;
}
inline size_t iterations() const {
return this->iterations_;
}
void Test(xnn_x32_pad_ukernel_function pad) const {
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto u32rng = std::bind(std::uniform_int_distribution<uint32_t>(), rng);
std::vector<uint32_t> input(input_channels() + (rows() - 1) * input_stride() + XNN_EXTRA_BYTES / sizeof(uint32_t));
std::vector<uint32_t> output((pre_padding() + input_channels() + post_padding()) + (rows() - 1) * output_stride());
std::vector<uint32_t> output_ref(rows() * (pre_padding() + input_channels() + post_padding()));
for (size_t iteration = 0; iteration < iterations(); iteration++) {
std::generate(input.begin(), input.end(), std::ref(u32rng));
std::generate(output.begin(), output.end(), std::ref(u32rng));
const uint32_t fill_value = u32rng();
// Compute reference results.
std::fill(output_ref.begin(), output_ref.end(), fill_value);
for (size_t i = 0; i < rows(); i++) {
std::copy(
&input[i * input_stride()],
&input[i * input_stride() + input_channels()],
&output_ref[i * output_channels() + pre_padding()]);
}
// Call optimized micro-kernel.
pad(
rows(),
input_channels() * sizeof(uint32_t),
pre_padding() * sizeof(uint32_t),
post_padding() * sizeof(uint32_t),
&fill_value,
input.data(), input_stride() * sizeof(uint32_t),
output.data(), output_stride() * sizeof(uint32_t));
// Verify results.
for (size_t i = 0; i < rows(); i++) {
for (size_t c = 0; c < output_channels(); c++) {
ASSERT_EQ(output_ref[i * output_channels() + c], output[i * output_stride() + c])
<< "at row " << i << " / " << rows() << ", channel " << i << " / " << output_channels()
<< " (" << pre_padding() << " + " << input_channels() << " + " << post_padding() << ")"
<< ", fill value = " << fill_value;
}
}
}
}
private:
size_t rows_{1};
size_t input_channels_{1};
size_t pre_padding_{0};
size_t post_padding_{0};
size_t input_stride_{0};
size_t output_stride_{0};
size_t iterations_{15};
};