blob: e9a55b0f4e1dab5726ed29f44d10a60e6a8a0a93 [file] [log] [blame]
// 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-init.h>
#include <xnnpack/params.h>
class UnpoolMicrokernelTester {
public:
inline UnpoolMicrokernelTester& p(size_t p) {
assert(p != 0);
this->p_ = p;
return *this;
}
inline size_t p() const {
return this->p_;
}
inline UnpoolMicrokernelTester& c(size_t c) {
assert(c != 0);
this->c_ = c;
return *this;
}
inline size_t c() const {
return this->c_;
}
inline UnpoolMicrokernelTester& f(uint32_t f) {
this->f_ = f;
return *this;
}
inline uint32_t f() const {
return this->f_;
}
inline UnpoolMicrokernelTester& y_stride(size_t y_stride) {
assert(y_stride != 0);
this->y_stride_ = y_stride;
return *this;
}
inline size_t y_stride() const {
if (this->y_stride_ == 0) {
return c();
} else {
assert(this->y_stride_ >= c());
return this->y_stride_;
}
}
inline UnpoolMicrokernelTester& iterations(size_t iterations) {
this->iterations_ = iterations;
return *this;
}
inline size_t iterations() const {
return this->iterations_;
}
void Test(xnn_x32_unpool_ukernel_function unpool) const {
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto x_rng = std::bind(std::uniform_int_distribution<uint32_t>(), std::ref(rng));
auto i_rng = std::bind(std::uniform_int_distribution<uint32_t>(0, uint32_t(p() - 1)), std::ref(rng));
std::vector<uint32_t> x(c());
std::vector<uint32_t> i(c());
std::vector<uint32_t> y((p() - 1) * y_stride() + c());
std::vector<uint32_t*> indirect_y(p());
std::vector<uint32_t> y_ref((p() - 1) * y_stride() + c());
for (size_t iteration = 0; iteration < iterations(); iteration++) {
std::generate(x.begin(), x.end(), std::ref(x_rng));
std::generate(i.begin(), i.end(), std::ref(i_rng));
std::generate(y.begin(), y.end(), std::ref(x_rng));
for (size_t i = 0; i < indirect_y.size(); i++) {
indirect_y[i] = y.data() + i * y_stride();
}
std::shuffle(indirect_y.begin(), indirect_y.end(), rng);
// Compute reference output.
std::fill(y_ref.begin(), y_ref.end(), f());
for (size_t k = 0; k < c(); k++) {
const uint32_t idx = i[k];
(indirect_y[idx] - y.data() + y_ref.data())[k] = x[k];
}
// Call optimized micro-kernel.
unpool(p(), c(), f(), x.data(), i.data(), indirect_y.data());
// Verify results.
for (size_t i = 0; i < p(); i++) {
for (size_t k = 0; k < c(); k++) {
ASSERT_EQ(y_ref[i * y_stride() + k], y[i * y_stride() + k])
<< "at pixel " << i << ", channel " << k
<< ", p = " << p() << ", c = " << c();
}
}
}
}
private:
size_t p_{1};
size_t c_{1};
uint32_t f_{0};
size_t y_stride_{0};
size_t iterations_{15};
};