1 /* Copyright 2019 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 "tensorflow/lite/delegates/gpu/common/tasks/fully_connected.h"
17
18 #include <vector>
19
20 #include <gmock/gmock.h>
21 #include <gtest/gtest.h>
22 #include "tensorflow/lite/delegates/gpu/cl/environment.h"
23 #include "tensorflow/lite/delegates/gpu/cl/kernels/cl_test.h"
24 #include "tensorflow/lite/delegates/gpu/common/data_type.h"
25 #include "tensorflow/lite/delegates/gpu/common/operations.h"
26 #include "tensorflow/lite/delegates/gpu/common/shape.h"
27 #include "tensorflow/lite/delegates/gpu/common/task/gpu_operation.h"
28 #include "tensorflow/lite/delegates/gpu/common/tasks/fully_connected_test_util.h"
29 #include "tensorflow/lite/delegates/gpu/common/tensor.h"
30
31 using ::testing::ElementsAreArray;
32
33 namespace tflite {
34 namespace gpu {
35 namespace cl {
36 namespace {
37
TEST_F(OpenCLOperationTest,FullyConnected)38 TEST_F(OpenCLOperationTest, FullyConnected) {
39 auto status = FullyConnectedTest(&exec_env_);
40 ASSERT_TRUE(status.ok()) << status.error_message();
41 }
42
TEST_F(OpenCLOperationTest,FullyConnectedLarge)43 TEST_F(OpenCLOperationTest, FullyConnectedLarge) {
44 auto status = FullyConnectedLargeTest(&exec_env_);
45 ASSERT_TRUE(status.ok()) << status.error_message();
46 }
47
TEST_F(OpenCLOperationTest,FullyConnectedExtraLarge)48 TEST_F(OpenCLOperationTest, FullyConnectedExtraLarge) {
49 auto status = FullyConnectedExtraLargeTest(&exec_env_);
50 ASSERT_TRUE(status.ok()) << status.error_message();
51 }
52
TEST_F(OpenCLOperationTest,FullyConnectedInt8)53 TEST_F(OpenCLOperationTest, FullyConnectedInt8) {
54 auto status = FullyConnectedInt8Test(&exec_env_);
55 ASSERT_TRUE(status.ok()) << status.error_message();
56 }
57
TEST_F(OpenCLOperationTest,RearrageWeights)58 TEST_F(OpenCLOperationTest, RearrageWeights) {
59 tflite::gpu::Tensor<OHWI, DataType::FLOAT32> weights;
60 weights.shape = OHWI(8, 1, 1, 8);
61 weights.data = {
62 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, //
63 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, //
64 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, //
65 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, //
66 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, //
67 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, //
68 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, //
69 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f //
70 };
71
72 std::vector<float> expected_rearranged_data = {
73 // Top-left block
74 0.0f, 10.0f, 20.0f, 30.0f, 1.0f, 11.0f, 21.0f, 31.0f, 2.0f, 12.0f, 22.0f,
75 32.0f, 3.0f, 13.0f, 23.0f, 33.0f,
76 // Bottom-left block
77 40.0f, 50.0f, 60.0f, 70.0f, 41.0f, 51.0f, 61.0f, 71.0f, 42.0f, 52.0f,
78 62.0f, 72.0f, 43.0f, 53.0f, 63.0f, 73.0f,
79 // Top-right block
80 4.0f, 14.0f, 24.0f, 34.0f, 5.0f, 15.0f, 25.0f, 35.0f, 6.0f, 16.0f, 26.0f,
81 36.0f, 7.0f, 17.0f, 27.0f, 37.0f,
82 // Bottom-right block
83 44.0f, 54.0f, 64.0f, 74.0f, 45.0f, 55.0f, 65.0f, 75.0f, 46.0f, 56.0f,
84 66.0f, 76.0f, 47.0f, 57.0f, 67.0f, 77.0f};
85
86 std::vector<float> data(8 * 8);
87 RearrangeFCWeightsToIOO4I4(weights, data.data());
88
89 EXPECT_THAT(data, ElementsAreArray(expected_rearranged_data));
90 }
91
TEST_F(OpenCLOperationTest,RearrageWeightsWhenPaddingIsRequired)92 TEST_F(OpenCLOperationTest, RearrageWeightsWhenPaddingIsRequired) {
93 tflite::gpu::Tensor<OHWI, DataType::FLOAT32> weights;
94 weights.shape = OHWI(9, 1, 1, 7);
95 weights.data = {
96 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, //
97 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, //
98 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, //
99 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, //
100 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, //
101 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, //
102 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, //
103 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, //
104 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, //
105 };
106
107 std::vector<float> expected_rearranged_data = {
108 // Top-left block
109 0.0f, 10.0f, 20.0f, 30.0f, 1.0f, 11.0f, 21.0f, 31.0f, 2.0f, 12.0f, 22.0f,
110 32.0f, 3.0f, 13.0f, 23.0f, 33.0f,
111 // Mid-left block
112 40.0f, 50.0f, 60.0f, 70.0f, 41.0f, 51.0f, 61.0f, 71.0f, 42.0f, 52.0f,
113 62.0f, 72.0f, 43.0f, 53.0f, 63.0f, 73.0f,
114 // Bottom-left block
115 80.0f, 0.0f, 0.0f, 0.0f, 81.0f, 0.0f, 0.0f, 0.0f, 82.0f, 0.0f, 0.0f, 0.0f,
116 83.0f, 0.0f, 0.0f, 0.0f,
117 // Top-right block
118 4.0f, 14.0f, 24.0f, 34.0f, 5.0f, 15.0f, 25.0f, 35.0f, 6.0f, 16.0f, 26.0f,
119 36.0f, 0.0f, 0.0f, 0.0f, 0.0f,
120 // Mid-left block
121 44.0f, 54.0f, 64.0f, 74.0f, 45.0f, 55.0f, 65.0f, 75.0f, 46.0f, 56.0f,
122 66.0f, 76.0f, 0.0f, 0.0f, 0.0f, 0.0f,
123 // Bottom-right block
124 84.0f, 0.0f, 0.0f, 0.0f, 85.0f, 0.0f, 0.0f, 0.0f, 86.0f, 0.0f, 0.0f, 0.0f,
125 0.0f, 0.0f, 0.0f, 0.0f};
126
127 std::vector<float> data(12 * 8);
128 RearrangeFCWeightsToIOO4I4(weights, data.data());
129
130 EXPECT_THAT(data, ElementsAreArray(expected_rearranged_data));
131 }
132
133 } // namespace
134 } // namespace cl
135 } // namespace gpu
136 } // namespace tflite
137