blob: 246d43cc19ce0d7cb1f3e46cd837dfa88d9e0751 [file] [log] [blame]
XNNPACK Teamb455b122019-09-27 18:10:33 -07001// 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 <cmath>
12#include <cstddef>
13#include <cstdlib>
14#include <functional>
15#include <random>
16#include <vector>
17
18#include <xnnpack.h>
19
20
21class ChannelPadOperatorTester {
22 public:
23 inline ChannelPadOperatorTester& batch_size(size_t batch_size) {
24 assert(batch_size != 0);
25 this->batch_size_ = batch_size;
26 return *this;
27 }
28
29 inline size_t batch_size() const {
30 return this->batch_size_;
31 }
32
33 inline ChannelPadOperatorTester& input_channels(size_t input_channels) {
34 assert(input_channels != 0);
35 this->input_channels_ = input_channels;
36 return *this;
37 }
38
39 inline size_t input_channels() const {
40 return this->input_channels_;
41 }
42
43 inline ChannelPadOperatorTester& pad_before(size_t pad_before) {
44 this->pad_before_ = pad_before;
45 return *this;
46 }
47
48 inline size_t pad_before() const {
49 return this->pad_before_;
50 }
51
52 inline ChannelPadOperatorTester& pad_after(size_t pad_after) {
53 this->pad_after_ = pad_after;
54 return *this;
55 }
56
57 inline size_t pad_after() const {
58 return this->pad_after_;
59 }
60
61 inline size_t output_channels() const {
62 return pad_before() + input_channels() + pad_after();
63 }
64
65 inline ChannelPadOperatorTester& input_stride(size_t input_stride) {
66 assert(input_stride != 0);
67 this->input_stride_ = input_stride;
68 return *this;
69 }
70
71 inline size_t input_stride() const {
72 if (this->input_stride_ == 0) {
73 return this->input_channels_;
74 } else {
75 assert(this->input_stride_ >= this->input_channels_);
76 return this->input_stride_;
77 }
78 }
79
80 inline ChannelPadOperatorTester& output_stride(size_t output_stride) {
81 assert(output_stride != 0);
82 this->output_stride_ = output_stride;
83 return *this;
84 }
85
86 inline size_t output_stride() const {
87 if (this->output_stride_ == 0) {
88 return output_channels();
89 } else {
90 assert(this->output_stride_ >= output_channels());
91 return this->output_stride_;
92 }
93 }
94
95 inline ChannelPadOperatorTester& iterations(size_t iterations) {
96 this->iterations_ = iterations;
97 return *this;
98 }
99
100 inline size_t iterations() const {
101 return this->iterations_;
102 }
103
104 void TestX32() const {
105 std::random_device random_device;
106 auto rng = std::mt19937(random_device());
107 auto u32rng = std::bind(std::uniform_int_distribution<uint32_t>(), rng);
108
109 const uint32_t pad_value = u32rng();
110 std::vector<uint32_t> input(input_channels() + (batch_size() - 1) * input_stride() + XNN_EXTRA_BYTES / sizeof(uint32_t));
111 std::vector<uint32_t> output(output_channels() + (batch_size() - 1) * output_stride());
112 for (size_t iteration = 0; iteration < iterations(); iteration++) {
113 std::generate(input.begin(), input.end(), std::ref(u32rng));
114 std::generate(output.begin(), output.end(), std::ref(u32rng));
115
116 // Create, setup, run, and destroy Channel Pad operator.
Marat Dukhan04f03be2019-11-19 12:36:47 -0800117 ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
XNNPACK Teamb455b122019-09-27 18:10:33 -0700118 xnn_operator_t channel_pad_op = nullptr;
119
120 ASSERT_EQ(xnn_status_success,
121 xnn_create_channel_pad_nc_x32(
122 input_channels(), pad_before(), pad_after(),
123 input_stride(), output_stride(),
124 &pad_value,
125 0 /* flags */,
126 &channel_pad_op));
127 ASSERT_NE(nullptr, channel_pad_op);
128
129 // Smart pointer to automatically delete channel_pad_op.
130 std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_channel_pad_op(channel_pad_op, xnn_delete_operator);
131
132 ASSERT_EQ(xnn_status_success,
133 xnn_setup_channel_pad_nc_x32(
134 channel_pad_op,
135 batch_size(),
136 input.data(), output.data(),
137 nullptr /* thread pool */));
138
139 ASSERT_EQ(xnn_status_success,
140 xnn_run_operator(channel_pad_op, nullptr /* thread pool */));
141
142 // Verify results.
143 for (size_t i = 0; i < batch_size(); i++) {
144 for (size_t k = 0; k < pad_before(); k++) {
145 ASSERT_EQ(pad_value,
146 output[i * output_stride() + k]);
147 }
148 for (size_t k = 0; k < input_channels(); k++) {
149 ASSERT_EQ(input[i * input_stride() + k],
150 output[i * output_stride() + pad_before() + k]);
151 }
152 for (size_t k = 0; k < pad_after(); k++) {
153 ASSERT_EQ(pad_value,
154 output[i * output_stride() + pad_before() + input_channels() + k]);
155 }
156 }
157 }
158 }
159
160 private:
161 size_t batch_size_{1};
162 size_t input_channels_{1};
163 size_t pad_before_{0};
164 size_t pad_after_{0};
165 size_t input_stride_{0};
166 size_t output_stride_{0};
167 size_t iterations_{15};
168};