surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #include <boost/test/unit_test.hpp> |
| 7 | #include "armnnTfParser/ITfParser.hpp" |
| 8 | #include "ParserPrototxtFixture.hpp" |
| 9 | |
Matteo Martincigh | 075c750 | 2018-12-05 13:10:45 +0000 | [diff] [blame] | 10 | #include <array> |
| 11 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 12 | BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| 13 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 14 | struct FusedBatchNormFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 15 | { |
Matteo Martincigh | 075c750 | 2018-12-05 13:10:45 +0000 | [diff] [blame] | 16 | explicit FusedBatchNormFixture(const std::string& dataLayout) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 17 | { |
| 18 | m_Prototext = "node { \n" |
| 19 | " name: \"graphInput\" \n" |
| 20 | " op: \"Placeholder\" \n" |
| 21 | " attr { \n" |
| 22 | " key: \"dtype\" \n" |
| 23 | " value { \n" |
| 24 | " type: DT_FLOAT \n" |
| 25 | " } \n" |
| 26 | " } \n" |
| 27 | " attr { \n" |
| 28 | " key: \"shape\" \n" |
| 29 | " value { \n" |
| 30 | " shape { \n" |
| 31 | " } \n" |
| 32 | " } \n" |
| 33 | " } \n" |
| 34 | "} \n" |
| 35 | "node { \n" |
| 36 | " name: \"Const_1\" \n" |
| 37 | " op: \"Const\" \n" |
| 38 | " attr { \n" |
| 39 | " key: \"dtype\" \n" |
| 40 | " value { \n" |
| 41 | " type: DT_FLOAT \n" |
| 42 | " } \n" |
| 43 | " } \n" |
| 44 | " attr { \n" |
| 45 | " key: \"value\" \n" |
| 46 | " value { \n" |
| 47 | " tensor { \n" |
| 48 | " dtype: DT_FLOAT \n" |
| 49 | " tensor_shape { \n" |
| 50 | " dim { \n" |
| 51 | " size: 1 \n" |
| 52 | " } \n" |
| 53 | " } \n" |
| 54 | " float_val: 1.0 \n" |
| 55 | " } \n" |
| 56 | " } \n" |
| 57 | " } \n" |
| 58 | "} \n" |
| 59 | "node { \n" |
| 60 | " name: \"Const_2\" \n" |
| 61 | " op: \"Const\" \n" |
| 62 | " attr { \n" |
| 63 | " key: \"dtype\" \n" |
| 64 | " value { \n" |
| 65 | " type: DT_FLOAT \n" |
| 66 | " } \n" |
| 67 | " } \n" |
| 68 | " attr { \n" |
| 69 | " key: \"value\" \n" |
| 70 | " value { \n" |
| 71 | " tensor { \n" |
| 72 | " dtype: DT_FLOAT \n" |
| 73 | " tensor_shape { \n" |
| 74 | " dim { \n" |
| 75 | " size: 1 \n" |
| 76 | " } \n" |
| 77 | " } \n" |
| 78 | " float_val: 0.0 \n" |
| 79 | " } \n" |
| 80 | " } \n" |
| 81 | " } \n" |
| 82 | "} \n" |
| 83 | "node { \n" |
| 84 | " name: \"FusedBatchNormLayer/mean\" \n" |
| 85 | " op: \"Const\" \n" |
| 86 | " attr { \n" |
| 87 | " key: \"dtype\" \n" |
| 88 | " value { \n" |
| 89 | " type: DT_FLOAT \n" |
| 90 | " } \n" |
| 91 | " } \n" |
| 92 | " attr { \n" |
| 93 | " key: \"value\" \n" |
| 94 | " value { \n" |
| 95 | " tensor { \n" |
| 96 | " dtype: DT_FLOAT \n" |
| 97 | " tensor_shape { \n" |
| 98 | " dim { \n" |
| 99 | " size: 1 \n" |
| 100 | " } \n" |
| 101 | " } \n" |
| 102 | " float_val: 5.0 \n" |
| 103 | " } \n" |
| 104 | " } \n" |
| 105 | " } \n" |
| 106 | "} \n" |
| 107 | "node { \n" |
| 108 | " name: \"FusedBatchNormLayer/variance\" \n" |
| 109 | " op: \"Const\" \n" |
| 110 | " attr { \n" |
| 111 | " key: \"dtype\" \n" |
| 112 | " value { \n" |
| 113 | " type: DT_FLOAT \n" |
| 114 | " } \n" |
| 115 | " } \n" |
| 116 | " attr { \n" |
| 117 | " key: \"value\" \n" |
| 118 | " value { \n" |
| 119 | " tensor { \n" |
| 120 | " dtype: DT_FLOAT \n" |
| 121 | " tensor_shape { \n" |
| 122 | " dim { \n" |
| 123 | " size: 1 \n" |
| 124 | " } \n" |
| 125 | " } \n" |
| 126 | " float_val: 2.0 \n" |
| 127 | " } \n" |
| 128 | " } \n" |
| 129 | " } \n" |
| 130 | "} \n" |
| 131 | "node { \n" |
| 132 | " name: \"output\" \n" |
| 133 | " op: \"FusedBatchNorm\" \n" |
| 134 | " input: \"graphInput\" \n" |
| 135 | " input: \"Const_1\" \n" |
| 136 | " input: \"Const_2\" \n" |
| 137 | " input: \"FusedBatchNormLayer/mean\" \n" |
| 138 | " input: \"FusedBatchNormLayer/variance\" \n" |
| 139 | " attr { \n" |
| 140 | " key: \"T\" \n" |
| 141 | " value { \n" |
| 142 | " type: DT_FLOAT \n" |
| 143 | " } \n" |
| 144 | " } \n" |
| 145 | " attr { \n" |
| 146 | " key: \"data_format\" \n" |
| 147 | " value { \n" |
Matteo Martincigh | 075c750 | 2018-12-05 13:10:45 +0000 | [diff] [blame] | 148 | " s: \""; |
| 149 | m_Prototext.append(dataLayout); |
| 150 | m_Prototext.append("\" \n" |
| 151 | " } \n" |
| 152 | " } \n" |
| 153 | " attr { \n" |
| 154 | " key: \"epsilon\" \n" |
| 155 | " value { \n" |
| 156 | " f: 0.0010000000475 \n" |
| 157 | " } \n" |
| 158 | " } \n" |
| 159 | " attr { \n" |
| 160 | " key: \"is_training\" \n" |
| 161 | " value { \n" |
| 162 | " b: false \n" |
| 163 | " } \n" |
| 164 | " } \n" |
| 165 | "} \n"); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 166 | |
Matteo Martincigh | 075c750 | 2018-12-05 13:10:45 +0000 | [diff] [blame] | 167 | // Set the input shape according to the data layout |
| 168 | std::array<unsigned int, 4> dims; |
| 169 | if (dataLayout == "NHWC") |
| 170 | { |
| 171 | dims = { 1u, 3u, 3u, 1u }; |
| 172 | } |
| 173 | else // dataLayout == "NCHW" |
| 174 | { |
| 175 | dims = { 1u, 1u, 3u, 3u }; |
| 176 | } |
| 177 | |
| 178 | SetupSingleInputSingleOutput(armnn::TensorShape(4, dims.data()), "graphInput", "output"); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 179 | } |
| 180 | }; |
| 181 | |
Matteo Martincigh | 075c750 | 2018-12-05 13:10:45 +0000 | [diff] [blame] | 182 | struct FusedBatchNormNhwcFixture : FusedBatchNormFixture |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 183 | { |
Matteo Martincigh | 075c750 | 2018-12-05 13:10:45 +0000 | [diff] [blame] | 184 | FusedBatchNormNhwcFixture() : FusedBatchNormFixture("NHWC"){} |
| 185 | }; |
| 186 | BOOST_FIXTURE_TEST_CASE(ParseFusedBatchNormNhwc, FusedBatchNormNhwcFixture) |
| 187 | { |
| 188 | RunTest<4>({ 1, 2, 3, 4, 5, 6, 7, 8, 9 }, // Input data. |
| 189 | { -2.8277204f, -2.12079024f, -1.4138602f, |
| 190 | -0.7069301f, 0.0f, 0.7069301f, |
| 191 | 1.4138602f, 2.12079024f, 2.8277204f }); // Expected output data. |
| 192 | } |
| 193 | |
| 194 | struct FusedBatchNormNchwFixture : FusedBatchNormFixture |
| 195 | { |
| 196 | FusedBatchNormNchwFixture() : FusedBatchNormFixture("NCHW"){} |
| 197 | }; |
| 198 | BOOST_FIXTURE_TEST_CASE(ParseFusedBatchNormNchw, FusedBatchNormNchwFixture) |
| 199 | { |
| 200 | RunTest<4>({ 1, 2, 3, 4, 5, 6, 7, 8, 9 }, // Input data. |
| 201 | { -2.8277204f, -2.12079024f, -1.4138602f, |
| 202 | -0.7069301f, 0.0f, 0.7069301f, |
| 203 | 1.4138602f, 2.12079024f, 2.8277204f }); // Expected output data. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 204 | } |
| 205 | |
| 206 | BOOST_AUTO_TEST_SUITE_END() |