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