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1 /* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
2 
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6 
7     http://www.apache.org/licenses/LICENSE-2.0
8 
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 
16 #include <cstdint>
17 #include <functional>
18 #include <memory>
19 #include <random>
20 
21 #include <gtest/gtest.h>
22 #include "tensorflow/lite/delegates/xnnpack/quantized_unary_elementwise_tester.h"
23 #include "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h"
24 
25 namespace tflite {
26 namespace xnnpack {
27 
28 TEST(UnsignedQuantizedLogistic, 4D) {
29   std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
30       xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
31                        TfLiteXNNPackDelegateDelete);
32 
33   std::random_device random_device;
34   auto rng = std::mt19937(random_device());
35   auto shape_rng =
36       std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
37   const auto batch = shape_rng();
38   const auto height = shape_rng();
39   const auto width = shape_rng();
40   const auto channels = shape_rng();
41 
42   QuantizedUnaryElementwiseTester()
43       .Unsigned(true)
44       .Shape({batch, height, width, channels})
45       .InputZeroPoint(127)
46       .InputScale(15.0f / 127.0f)
47       .OutputZeroPoint(std::numeric_limits<uint8_t>::min())
48       .OutputScale(1.0f / 256.0f)
49       .Test(BuiltinOperator_LOGISTIC, xnnpack_delegate.get());
50 }
51 
52 TEST(UnsignedQuantizedLogistic, 3D) {
53   std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
54       xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
55                        TfLiteXNNPackDelegateDelete);
56 
57   std::random_device random_device;
58   auto rng = std::mt19937(random_device());
59   auto shape_rng =
60       std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
61   const auto batch = shape_rng();
62   const auto width = shape_rng();
63   const auto channels = shape_rng();
64 
65   QuantizedUnaryElementwiseTester()
66       .Unsigned(true)
67       .Shape({batch, width, channels})
68       .InputZeroPoint(127)
69       .InputScale(15.0f / 127.0f)
70       .OutputZeroPoint(std::numeric_limits<uint8_t>::min())
71       .OutputScale(1.0f / 256.0f)
72       .Test(BuiltinOperator_LOGISTIC, xnnpack_delegate.get());
73 }
74 
75 TEST(UnsignedQuantizedLogistic, 2D) {
76   std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
77       xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
78                        TfLiteXNNPackDelegateDelete);
79 
80   std::random_device random_device;
81   auto rng = std::mt19937(random_device());
82   auto shape_rng =
83       std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
84   const auto batch = shape_rng();
85   const auto channels = shape_rng();
86 
87   QuantizedUnaryElementwiseTester()
88       .Unsigned(true)
89       .Shape({batch, channels})
90       .InputZeroPoint(127)
91       .InputScale(15.0f / 127.0f)
92       .OutputZeroPoint(std::numeric_limits<uint8_t>::min())
93       .OutputScale(1.0f / 256.0f)
94       .Test(BuiltinOperator_LOGISTIC, xnnpack_delegate.get());
95 }
96 
97 TEST(UnsignedQuantizedLogistic, 1D) {
98   std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
99       xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
100                        TfLiteXNNPackDelegateDelete);
101 
102   std::random_device random_device;
103   auto rng = std::mt19937(random_device());
104   auto shape_rng =
105       std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
106   const auto batch = shape_rng();
107 
108   QuantizedUnaryElementwiseTester()
109       .Unsigned(true)
110       .Shape({batch})
111       .InputZeroPoint(127)
112       .InputScale(15.0f / 127.0f)
113       .OutputZeroPoint(std::numeric_limits<uint8_t>::min())
114       .OutputScale(1.0f / 256.0f)
115       .Test(BuiltinOperator_LOGISTIC, xnnpack_delegate.get());
116 }
117 
TEST(UnsignedQuantizedLogistic,MultiThreading)118 TEST(UnsignedQuantizedLogistic, MultiThreading) {
119   TfLiteXNNPackDelegateOptions delegate_options =
120       TfLiteXNNPackDelegateOptionsDefault();
121   delegate_options.num_threads = 2;
122   std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
123       xnnpack_delegate(TfLiteXNNPackDelegateCreate(&delegate_options),
124                        TfLiteXNNPackDelegateDelete);
125 
126   std::random_device random_device;
127   auto rng = std::mt19937(random_device());
128   auto shape_rng =
129       std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
130   const auto batch = shape_rng();
131   const auto height = shape_rng();
132   const auto width = shape_rng();
133   const auto channels = shape_rng();
134 
135   QuantizedUnaryElementwiseTester()
136       .Unsigned(true)
137       .Shape({batch, height, width, channels})
138       .InputZeroPoint(127)
139       .InputScale(15.0f / 127.0f)
140       .OutputZeroPoint(std::numeric_limits<uint8_t>::min())
141       .OutputScale(1.0f / 256.0f)
142       .Test(BuiltinOperator_LOGISTIC, xnnpack_delegate.get());
143 }
144 
145 }  // namespace xnnpack
146 }  // namespace tflite
147