| // Copyright (c) Facebook, Inc. and its affiliates. |
| // All rights reserved. |
| // |
| // 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 <cstddef> |
| #include <cstdlib> |
| |
| #include <algorithm> |
| #include <cfloat> |
| #include <cmath> |
| #include <functional> |
| #include <limits> |
| #include <random> |
| #include <vector> |
| |
| #include <xnnpack/params.h> |
| |
| |
| class ZipMicrokernelTester { |
| public: |
| inline ZipMicrokernelTester& n(size_t n) { |
| assert(n != 0); |
| this->n_ = n; |
| return *this; |
| } |
| |
| inline size_t n() const { |
| return this->n_; |
| } |
| |
| inline ZipMicrokernelTester& g(size_t g) { |
| assert(g != 0); |
| this->g_ = g; |
| return *this; |
| } |
| |
| inline size_t g() const { |
| return this->g_; |
| } |
| |
| inline ZipMicrokernelTester& iterations(size_t iterations) { |
| this->iterations_ = iterations; |
| return *this; |
| } |
| |
| inline size_t iterations() const { |
| return this->iterations_; |
| } |
| |
| void Test(xnn_x8_zipc_ukernel_function zip) const { |
| 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> x(n() * g()); |
| std::vector<uint8_t> y(g() * n()); |
| |
| for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| std::generate(x.begin(), x.end(), std::ref(u8rng)); |
| std::fill(y.begin(), y.end(), 0xA5); |
| |
| // Call optimized micro-kernel. |
| zip(n() * sizeof(uint8_t), x.data(), y.data()); |
| |
| // Verify results. |
| for (size_t i = 0; i < n(); i++) { |
| for (size_t j = 0; j < g(); j++) { |
| ASSERT_EQ(uint32_t(y[i * g() + j]), uint32_t(x[j * n() + i])) |
| << "at element " << i << ", group " << j; |
| } |
| } |
| } |
| } |
| |
| void Test(xnn_x8_zipv_ukernel_function zip) const { |
| 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> x(n() * g()); |
| std::vector<uint8_t> y(g() * n()); |
| |
| for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| std::generate(x.begin(), x.end(), std::ref(u8rng)); |
| std::fill(y.begin(), y.end(), 0xA5); |
| |
| // Call optimized micro-kernel. |
| zip(n() * sizeof(uint8_t), g(), x.data(), y.data()); |
| |
| // Verify results. |
| for (size_t i = 0; i < n(); i++) { |
| for (size_t j = 0; j < g(); j++) { |
| ASSERT_EQ(uint32_t(y[i * g() + j]), uint32_t(x[j * n() + i])) |
| << "at element " << i << ", group " << j; |
| } |
| } |
| } |
| } |
| |
| void Test(xnn_x32_zipc_ukernel_function zip) 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> x(n() * g()); |
| std::vector<uint32_t> y(g() * n()); |
| |
| for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| std::generate(x.begin(), x.end(), std::ref(u32rng)); |
| std::fill(y.begin(), y.end(), 0xA55A5AA5); |
| |
| // Call optimized micro-kernel. |
| zip(n() * sizeof(uint32_t), x.data(), y.data()); |
| |
| // Verify results. |
| for (size_t i = 0; i < n(); i++) { |
| for (size_t j = 0; j < g(); j++) { |
| ASSERT_EQ(y[i * g() + j], x[j * n() + i]) |
| << "at element " << i << ", group " << j; |
| } |
| } |
| } |
| } |
| |
| void Test(xnn_x32_zipv_ukernel_function zip) 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> x(n() * g()); |
| std::vector<uint32_t> y(g() * n()); |
| |
| for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| std::generate(x.begin(), x.end(), std::ref(u32rng)); |
| std::fill(y.begin(), y.end(), 0xA55A5AA5); |
| |
| // Call optimized micro-kernel. |
| zip(n() * sizeof(uint32_t), g(), x.data(), y.data()); |
| |
| // Verify results. |
| for (size_t i = 0; i < n(); i++) { |
| for (size_t j = 0; j < g(); j++) { |
| ASSERT_EQ(y[i * g() + j], x[j * n() + i]) |
| << "at element " << i << ", group " << j; |
| } |
| } |
| } |
| } |
| |
| private: |
| size_t n_{1}; |
| size_t g_{1}; |
| size_t iterations_{3}; |
| }; |