telsoa01 | c577f2c | 2018-08-31 09:22:23 +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 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #include <boost/test/unit_test.hpp> |
| 7 | #include "ParserFlatbuffersFixture.hpp" |
| 8 | #include "../TfLiteParser.hpp" |
| 9 | |
| 10 | #include <string> |
| 11 | #include <iostream> |
| 12 | |
| 13 | BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) |
| 14 | |
| 15 | struct DepthwiseConvolution2dFixture : public ParserFlatbuffersFixture |
| 16 | { |
| 17 | explicit DepthwiseConvolution2dFixture(const std::string& inputShape, |
| 18 | const std::string& outputShape, |
| 19 | const std::string& filterShape, |
| 20 | const std::string& filterData, |
| 21 | const std::string& strides, |
| 22 | const std::string& paddingType, |
| 23 | const std::string biasShape = "", |
| 24 | const std::string biasData = "") |
| 25 | { |
| 26 | std::string inputTensors = "[ 0, 2 ]"; |
| 27 | std::string biasTensor = ""; |
| 28 | std::string biasBuffer = ""; |
| 29 | if (biasShape.size() > 0 && biasData.size() > 0) |
| 30 | { |
| 31 | inputTensors = "[ 0, 2, 3 ]"; |
| 32 | biasTensor = R"( |
| 33 | { |
| 34 | "shape": )" + biasShape + R"( , |
| 35 | "type": "INT32", |
| 36 | "buffer": 3, |
| 37 | "name": "biasTensor", |
| 38 | "quantization": { |
| 39 | "min": [ 0.0 ], |
| 40 | "max": [ 255.0 ], |
| 41 | "scale": [ 1.0 ], |
| 42 | "zero_point": [ 0 ], |
| 43 | } |
| 44 | } )"; |
| 45 | biasBuffer = R"( |
| 46 | { "data": )" + biasData + R"(, }, )"; |
| 47 | } |
| 48 | m_JsonString = R"( |
| 49 | { |
| 50 | "version": 3, |
| 51 | "operator_codes": [ { "builtin_code": "DEPTHWISE_CONV_2D" } ], |
| 52 | "subgraphs": [ { |
| 53 | "tensors": [ |
| 54 | { |
| 55 | "shape": )" + inputShape + R"(, |
| 56 | "type": "UINT8", |
| 57 | "buffer": 0, |
| 58 | "name": "inputTensor", |
| 59 | "quantization": { |
| 60 | "min": [ 0.0 ], |
| 61 | "max": [ 255.0 ], |
| 62 | "scale": [ 1.0 ], |
| 63 | "zero_point": [ 0 ], |
| 64 | } |
| 65 | }, |
| 66 | { |
| 67 | "shape": )" + outputShape + R"(, |
| 68 | "type": "UINT8", |
| 69 | "buffer": 1, |
| 70 | "name": "outputTensor", |
| 71 | "quantization": { |
| 72 | "min": [ 0.0 ], |
| 73 | "max": [ 511.0 ], |
| 74 | "scale": [ 2.0 ], |
| 75 | "zero_point": [ 0 ], |
| 76 | } |
| 77 | }, |
| 78 | { |
| 79 | "shape": )" + filterShape + R"(, |
| 80 | "type": "UINT8", |
| 81 | "buffer": 2, |
| 82 | "name": "filterTensor", |
| 83 | "quantization": { |
| 84 | "min": [ 0.0 ], |
| 85 | "max": [ 255.0 ], |
| 86 | "scale": [ 1.0 ], |
| 87 | "zero_point": [ 0 ], |
| 88 | } |
| 89 | }, )" + biasTensor + R"( |
| 90 | ], |
| 91 | "inputs": [ 0 ], |
| 92 | "outputs": [ 1 ], |
| 93 | "operators": [ |
| 94 | { |
| 95 | "opcode_index": 0, |
| 96 | "inputs": )" + inputTensors + R"(, |
| 97 | "outputs": [ 1 ], |
| 98 | "builtin_options_type": "DepthwiseConv2DOptions", |
| 99 | "builtin_options": { |
| 100 | "padding": ")" + paddingType + R"(", |
| 101 | "stride_w": )" + strides+ R"(, |
| 102 | "stride_h": )" + strides+ R"(, |
| 103 | "depth_multiplier": 1, |
| 104 | "fused_activation_function": "NONE" |
| 105 | }, |
| 106 | "custom_options_format": "FLEXBUFFERS" |
| 107 | } |
| 108 | ], |
| 109 | } ], |
| 110 | "buffers" : [ |
| 111 | { }, |
| 112 | { }, |
| 113 | { "data": )" + filterData + R"(, }, )" |
| 114 | + biasBuffer + R"( |
| 115 | ] |
| 116 | } |
| 117 | )"; |
| 118 | SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| 119 | } |
| 120 | }; |
| 121 | |
| 122 | struct DepthwiseConvolution2dSameFixture : DepthwiseConvolution2dFixture |
| 123 | { |
| 124 | DepthwiseConvolution2dSameFixture() |
| 125 | : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape |
| 126 | "[ 1, 3, 3, 1 ]", // outputShape |
| 127 | "[ 1, 3, 3, 1 ]", // filterShape |
| 128 | "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData |
| 129 | "1", // stride w and h |
| 130 | "SAME") // padding type |
| 131 | {} |
| 132 | }; |
| 133 | |
| 134 | BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DSame, DepthwiseConvolution2dSameFixture) |
| 135 | { |
| 136 | RunTest<4, uint8_t>( |
| 137 | 0, |
| 138 | { 0, 1, 2, |
| 139 | 3, 4, 5, |
| 140 | 6, 7, 8 }, |
| 141 | // the expected values were generated using the example python implementation at |
| 142 | // https://eli.thegreenplace.net/2018/depthwise-separable-convolutions-for-machine-learning/ |
| 143 | // divide the expected values by the output scale, as it is not 1.0 |
| 144 | { 14/2, 35/2, 38/2, |
| 145 | 57/2, 120/2, 111/2, |
| 146 | 110/2, 197/2, 158/2 }); |
| 147 | } |
| 148 | |
| 149 | struct DepthwiseConvolution2dValidFixture : DepthwiseConvolution2dFixture |
| 150 | { |
| 151 | DepthwiseConvolution2dValidFixture () |
| 152 | : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape |
| 153 | "[ 1, 1, 1, 1 ]", // outputShape |
| 154 | "[ 1, 3, 3, 1 ]", // filterShape |
| 155 | "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData |
| 156 | "1", // stride w and h |
| 157 | "VALID") // padding type |
| 158 | {} |
| 159 | }; |
| 160 | |
| 161 | BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DValid, DepthwiseConvolution2dValidFixture) |
| 162 | { |
| 163 | RunTest<4, uint8_t>( |
| 164 | 0, |
| 165 | { 0, 1, 2, |
| 166 | 3, 4, 5, |
| 167 | 6, 7, 8 }, |
| 168 | // divide the expected values by the output scale, as it is not 1.0 |
| 169 | { 120/2 }); |
| 170 | } |
| 171 | |
| 172 | struct DepthwiseConvolution2dSameBiasFixture : DepthwiseConvolution2dFixture |
| 173 | { |
| 174 | DepthwiseConvolution2dSameBiasFixture() |
| 175 | : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape |
| 176 | "[ 1, 3, 3, 1 ]", // outputShape |
| 177 | "[ 1, 3, 3, 1 ]", // filterShape |
| 178 | "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData |
| 179 | "1", // stride w and h |
| 180 | "SAME", // padding type |
| 181 | "[ 1 ]", // biasShape |
| 182 | "[ 10, 0, 0, 0 ]") // biasData |
| 183 | {} |
| 184 | }; |
| 185 | |
| 186 | BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DSameBias, DepthwiseConvolution2dSameBiasFixture) |
| 187 | { |
| 188 | RunTest<4, uint8_t>( |
| 189 | 0, |
| 190 | { 0, 1, 2, |
| 191 | 3, 4, 5, |
| 192 | 6, 7, 8 }, |
| 193 | // divide the expected values by the output scale, as it is not 1.0 |
| 194 | { ( 14+10)/2, ( 35+10)/2, ( 38+10)/2, |
| 195 | ( 57+10)/2, (120+10)/2, (111+10)/2, |
| 196 | (110+10)/2, (197+10)/2, (158+10)/2 }); |
| 197 | } |
| 198 | |
| 199 | BOOST_AUTO_TEST_SUITE_END() |