98 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			98 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			C++
		
	
	
	
// Copyright (c) Facebook, Inc. and its affiliates.
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// All rights reserved.
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//
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// 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 <limits>
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#include <random>
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#include <vector>
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#include <xnnpack/params.h>
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class RMaxMicrokernelTester {
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 public:
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  inline RMaxMicrokernelTester& n(size_t n) {
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    assert(n != 0);
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    this->n_ = n;
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    return *this;
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  }
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  inline size_t n() const {
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    return this->n_;
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  }
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  inline RMaxMicrokernelTester& 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_u8_rmax_ukernel_function rmax) 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 u8rng = std::bind(std::uniform_int_distribution<uint32_t>(0, std::numeric_limits<uint8_t>::max()), rng);
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    std::vector<uint8_t> x(n());
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    for (size_t iteration = 0; iteration < iterations(); iteration++) {
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      std::generate(x.begin(), x.end(), std::ref(u8rng));
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      // Compute reference results.
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      uint8_t y_ref = 0;
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      for (size_t i = 0; i < n(); i++) {
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        y_ref = std::max(y_ref, x[i]);
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      }
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      // Call optimized micro-kernel.
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      uint8_t y = u8rng();
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      rmax(n() * sizeof(uint8_t), x.data(), &y);
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      // Verify results.
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      ASSERT_EQ(y_ref, y) << "n = " << n();
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    }
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  }
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  void Test(xnn_f32_rmax_ukernel_function rmax) 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 f32rng = std::bind(std::uniform_real_distribution<float>(), rng);
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    std::vector<float> x(n());
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    for (size_t iteration = 0; iteration < iterations(); iteration++) {
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      std::generate(x.begin(), x.end(), std::ref(f32rng));
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      // Compute reference results.
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      float y_ref = 0;
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      for (size_t i = 0; i < n(); i++) {
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        y_ref = std::max(y_ref, x[i]);
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      }
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      // Call optimized micro-kernel.
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      float y = std::nanf("");
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      rmax(n() * sizeof(float), x.data(), &y);
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      // Verify results.
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      ASSERT_EQ(y_ref, y) << "n = " << n();
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    }
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  }
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 private:
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  size_t n_{1};
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  size_t iterations_{15};
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};
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