xref: /aosp_15_r20/external/XNNPACK/test/unpool-microkernel-tester.h (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)
1 // Copyright 2019 Google LLC
2 //
3 // This source code is licensed under the BSD-style license found in the
4 // LICENSE file in the root directory of this source tree.
5 
6 #pragma once
7 
8 #include <gtest/gtest.h>
9 
10 #include <algorithm>
11 #include <cassert>
12 #include <cstddef>
13 #include <cstdlib>
14 #include <functional>
15 #include <random>
16 #include <vector>
17 
18 #include <xnnpack/microfnptr.h>
19 
20 
21 class UnpoolMicrokernelTester {
22  public:
p(size_t p)23   inline UnpoolMicrokernelTester& p(size_t p) {
24     assert(p != 0);
25     this->p_ = p;
26     return *this;
27   }
28 
p()29   inline size_t p() const {
30     return this->p_;
31   }
32 
c(size_t c)33   inline UnpoolMicrokernelTester& c(size_t c) {
34     assert(c != 0);
35     this->c_ = c;
36     return *this;
37   }
38 
c()39   inline size_t c() const {
40     return this->c_;
41   }
42 
f(uint32_t f)43   inline UnpoolMicrokernelTester& f(uint32_t f) {
44     this->f_ = f;
45     return *this;
46   }
47 
f()48   inline uint32_t f() const {
49     return this->f_;
50   }
51 
y_stride(size_t y_stride)52   inline UnpoolMicrokernelTester& y_stride(size_t y_stride) {
53     assert(y_stride != 0);
54     this->y_stride_ = y_stride;
55     return *this;
56   }
57 
y_stride()58   inline size_t y_stride() const {
59     if (this->y_stride_ == 0) {
60       return c();
61     } else {
62       assert(this->y_stride_ >= c());
63       return this->y_stride_;
64     }
65   }
66 
iterations(size_t iterations)67   inline UnpoolMicrokernelTester& iterations(size_t iterations) {
68     this->iterations_ = iterations;
69     return *this;
70   }
71 
iterations()72   inline size_t iterations() const {
73     return this->iterations_;
74   }
75 
Test(xnn_x32_unpool_ukernel_function unpool)76   void Test(xnn_x32_unpool_ukernel_function unpool) const {
77     std::random_device random_device;
78     auto rng = std::mt19937(random_device());
79     auto x_rng = std::bind(std::uniform_int_distribution<uint32_t>(), std::ref(rng));
80     auto i_rng = std::bind(std::uniform_int_distribution<uint32_t>(0, uint32_t(p() - 1)), std::ref(rng));
81 
82     std::vector<uint32_t> x(c());
83     std::vector<uint32_t> i(c());
84     std::vector<uint32_t> y((p() - 1) * y_stride() + c());
85     std::vector<uint32_t*> indirect_y(p());
86     std::vector<uint32_t> y_ref((p() - 1) * y_stride() + c());
87     for (size_t iteration = 0; iteration < iterations(); iteration++) {
88       std::generate(x.begin(), x.end(), std::ref(x_rng));
89       std::generate(i.begin(), i.end(), std::ref(i_rng));
90       std::generate(y.begin(), y.end(), std::ref(x_rng));
91 
92       for (size_t i = 0; i < indirect_y.size(); i++) {
93         indirect_y[i] = y.data() + i * y_stride();
94       }
95       std::shuffle(indirect_y.begin(), indirect_y.end(), rng);
96 
97       // Compute reference output.
98       std::fill(y_ref.begin(), y_ref.end(), f());
99       for (size_t k = 0; k < c(); k++) {
100         const uint32_t idx = i[k];
101         (indirect_y[idx] - y.data() + y_ref.data())[k] = x[k];
102       }
103 
104       // Call optimized micro-kernel.
105       unpool(p(), c(), f(), x.data(), i.data(), indirect_y.data());
106 
107       // Verify results.
108       for (size_t i = 0; i < p(); i++) {
109         for (size_t k = 0; k < c(); k++) {
110           ASSERT_EQ(y_ref[i * y_stride() + k], y[i * y_stride() + k])
111             << "at pixel " << i << ", channel " << k
112             << ", p = " << p() << ", c = " << c();
113         }
114       }
115     }
116   }
117 
118  private:
119   size_t p_{1};
120   size_t c_{1};
121   uint32_t f_{0};
122   size_t y_stride_{0};
123   size_t iterations_{15};
124 };
125