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158 lines
4.5 KiB
158 lines
4.5 KiB
// 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 <cassert>
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#include <cstddef>
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#include <cstdlib>
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#include <functional>
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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/params.h>
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class PadMicrokernelTester {
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public:
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inline PadMicrokernelTester& rows(size_t rows) {
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assert(rows != 0);
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this->rows_ = rows;
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return *this;
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}
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inline size_t rows() const {
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return this->rows_;
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}
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inline PadMicrokernelTester& input_channels(size_t input_channels) {
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assert(input_channels != 0);
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this->input_channels_ = input_channels;
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return *this;
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}
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inline size_t input_channels() const {
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return this->input_channels_;
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}
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inline PadMicrokernelTester& pre_padding(size_t pre_padding) {
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this->pre_padding_ = pre_padding;
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return *this;
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}
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inline size_t pre_padding() const {
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return this->pre_padding_;
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}
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inline PadMicrokernelTester& post_padding(size_t post_padding) {
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this->post_padding_ = post_padding;
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return *this;
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}
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inline size_t post_padding() const {
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return this->post_padding_;
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}
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inline size_t output_channels() const {
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return pre_padding() + input_channels() + post_padding();
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}
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inline PadMicrokernelTester& input_stride(size_t input_stride) {
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assert(input_stride != 0);
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this->input_stride_ = input_stride;
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return *this;
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}
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inline size_t input_stride() const {
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if (this->input_stride_ == 0) {
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return input_channels();
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} else {
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assert(this->input_stride_ >= input_channels());
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return this->input_stride_;
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}
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}
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inline PadMicrokernelTester& output_stride(size_t output_stride) {
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assert(output_stride != 0);
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this->output_stride_ = output_stride;
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return *this;
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}
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inline size_t output_stride() const {
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if (this->output_stride_ == 0) {
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return pre_padding() + input_channels() + post_padding();
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} else {
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assert(this->output_stride_ >= pre_padding() + input_channels() + post_padding());
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return this->output_stride_;
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}
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}
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inline PadMicrokernelTester& 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_x32_pad_ukernel_function pad) 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 u32rng = std::bind(std::uniform_int_distribution<uint32_t>(), rng);
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std::vector<uint32_t> input(input_channels() + (rows() - 1) * input_stride() + XNN_EXTRA_BYTES / sizeof(uint32_t));
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std::vector<uint32_t> output((pre_padding() + input_channels() + post_padding()) + (rows() - 1) * output_stride());
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std::vector<uint32_t> output_ref(rows() * (pre_padding() + input_channels() + post_padding()));
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for (size_t iteration = 0; iteration < iterations(); iteration++) {
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std::generate(input.begin(), input.end(), std::ref(u32rng));
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std::generate(output.begin(), output.end(), std::ref(u32rng));
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const uint32_t fill_value = u32rng();
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// Compute reference results.
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std::fill(output_ref.begin(), output_ref.end(), fill_value);
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for (size_t i = 0; i < rows(); i++) {
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std::copy(
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&input[i * input_stride()],
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&input[i * input_stride() + input_channels()],
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&output_ref[i * output_channels() + pre_padding()]);
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}
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// Call optimized micro-kernel.
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pad(
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rows(),
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input_channels() * sizeof(uint32_t),
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pre_padding() * sizeof(uint32_t),
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post_padding() * sizeof(uint32_t),
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&fill_value,
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input.data(), input_stride() * sizeof(uint32_t),
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output.data(), output_stride() * sizeof(uint32_t));
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// Verify results.
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for (size_t i = 0; i < rows(); i++) {
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for (size_t c = 0; c < output_channels(); c++) {
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ASSERT_EQ(output_ref[i * output_channels() + c], output[i * output_stride() + c])
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<< "at row " << i << " / " << rows() << ", channel " << i << " / " << output_channels()
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<< " (" << pre_padding() << " + " << input_channels() << " + " << post_padding() << ")"
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<< ", fill value = " << fill_value;
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}
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}
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}
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}
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private:
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size_t rows_{1};
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size_t input_channels_{1};
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size_t pre_padding_{0};
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size_t post_padding_{0};
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size_t input_stride_{0};
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size_t output_stride_{0};
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size_t iterations_{15};
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};
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