Ferran Balaguer | fbdad03 | 2018-12-28 18:15:24 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <boost/assert.hpp> |
| 7 | #include <boost/test/unit_test.hpp> |
| 8 | |
| 9 | #include "armnnTfParser/ITfParser.hpp" |
| 10 | #include "ParserPrototxtFixture.hpp" |
| 11 | |
| 12 | #include <map> |
| 13 | #include <string> |
| 14 | |
| 15 | |
| 16 | BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| 17 | |
| 18 | struct AddNFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 19 | { |
| 20 | AddNFixture(const std::vector<armnn::TensorShape> inputShapes, unsigned int numberOfInputs) |
| 21 | { |
| 22 | BOOST_ASSERT(inputShapes.size() == numberOfInputs); |
| 23 | m_Prototext = ""; |
| 24 | for (unsigned int i = 0; i < numberOfInputs; i++) |
| 25 | { |
| 26 | m_Prototext.append("node { \n"); |
| 27 | m_Prototext.append(" name: \"input").append(std::to_string(i)).append("\"\n"); |
| 28 | m_Prototext += R"( op: "Placeholder" |
| 29 | attr { |
| 30 | key: "dtype" |
| 31 | value { |
| 32 | type: DT_FLOAT |
| 33 | } |
| 34 | } |
| 35 | attr { |
| 36 | key: "shape" |
| 37 | value { |
| 38 | shape { |
| 39 | } |
| 40 | } |
| 41 | } |
| 42 | } |
| 43 | )"; |
| 44 | } |
| 45 | m_Prototext += R"(node { |
| 46 | name: "output" |
| 47 | op: "AddN" |
| 48 | )"; |
| 49 | for (unsigned int i = 0; i < numberOfInputs; i++) |
| 50 | { |
| 51 | m_Prototext.append(" input: \"input").append(std::to_string(i)).append("\"\n"); |
| 52 | } |
| 53 | m_Prototext += R"( attr { |
| 54 | key: "N" |
| 55 | value { |
| 56 | )"; |
| 57 | m_Prototext.append(" i: ").append(std::to_string(numberOfInputs)).append("\n"); |
| 58 | m_Prototext += R"( } |
| 59 | } |
| 60 | attr { |
| 61 | key: "T" |
| 62 | value { |
| 63 | type: DT_FLOAT |
| 64 | } |
| 65 | } |
| 66 | })"; |
| 67 | |
| 68 | std::map<std::string, armnn::TensorShape> inputs; |
| 69 | for (unsigned int i = 0; i < numberOfInputs; i++) |
| 70 | { |
| 71 | std::string name("input"); |
| 72 | name.append(std::to_string(i)); |
| 73 | inputs.emplace(std::make_pair(name, inputShapes[i])); |
| 74 | } |
| 75 | Setup(inputs, {"output"}); |
| 76 | } |
| 77 | |
| 78 | }; |
| 79 | |
| 80 | // try with 2, 3, 5 and 8 inputs |
| 81 | struct FiveTwoDimInputsFixture : AddNFixture |
| 82 | { |
| 83 | FiveTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 } }, 5) {} |
| 84 | }; |
| 85 | |
| 86 | |
| 87 | BOOST_FIXTURE_TEST_CASE(FiveTwoDimInputs, FiveTwoDimInputsFixture) |
| 88 | { |
| 89 | RunTest<2>({ { "input0", { 1.0, 2.0, 3.0, 4.0 } }, |
| 90 | { "input1", { 1.0, 5.0, 2.0, 2.0 } }, |
| 91 | { "input2", { 1.0, 1.0, 2.0, 2.0 } }, |
| 92 | { "input3", { 3.0, 7.0, 1.0, 2.0 } }, |
| 93 | { "input4", { 8.0, 0.0, -2.0, -3.0 } } }, |
| 94 | { { "output", { 14.0, 15.0, 6.0, 7.0 } } }); |
| 95 | } |
| 96 | |
| 97 | struct TwoTwoDimInputsFixture : AddNFixture |
| 98 | { |
| 99 | TwoTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 } }, 2) {} |
| 100 | }; |
| 101 | |
| 102 | BOOST_FIXTURE_TEST_CASE(TwoTwoDimInputs, TwoTwoDimInputsFixture) |
| 103 | { |
| 104 | RunTest<2>({ { "input0", { 1.0, 2.0, 3.0, 4.0 } }, |
| 105 | { "input1", { 1.0, 5.0, 2.0, 2.0 } } }, |
| 106 | { { "output", { 2.0, 7.0, 5.0, 6.0 } } }); |
| 107 | } |
| 108 | |
| 109 | struct ThreeTwoDimInputsFixture : AddNFixture |
| 110 | { |
| 111 | ThreeTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 } }, 3) {} |
| 112 | }; |
| 113 | |
| 114 | BOOST_FIXTURE_TEST_CASE(ThreeTwoDimInputs, ThreeTwoDimInputsFixture) |
| 115 | { |
| 116 | RunTest<2>({ { "input0", { 1.0, 2.0, 3.0, 4.0 } }, |
| 117 | { "input1", { 1.0, 5.0, 2.0, 2.0 } }, |
| 118 | { "input2", { 1.0, 1.0, 2.0, 2.0 } } }, |
| 119 | { { "output", { 3.0, 8.0, 7.0, 8.0 } } }); |
| 120 | } |
| 121 | |
| 122 | struct EightTwoDimInputsFixture : AddNFixture |
| 123 | { |
| 124 | EightTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 }, |
| 125 | { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 } }, 8) {} |
| 126 | }; |
| 127 | |
| 128 | BOOST_FIXTURE_TEST_CASE(EightTwoDimInputs, EightTwoDimInputsFixture) |
| 129 | { |
| 130 | RunTest<2>({ { "input0", { 1.0, 2.0, 3.0, 4.0 } }, |
| 131 | { "input1", { 1.0, 5.0, 2.0, 2.0 } }, |
| 132 | { "input2", { 1.0, 1.0, 2.0, 2.0 } }, |
| 133 | { "input3", { 3.0, 7.0, 1.0, 2.0 } }, |
| 134 | { "input4", { 8.0, 0.0, -2.0, -3.0 } }, |
| 135 | { "input5", {-3.0, 2.0, -1.0, -5.0 } }, |
| 136 | { "input6", { 1.0, 6.0, 2.0, 2.0 } }, |
| 137 | { "input7", {-19.0, 7.0, 1.0, -10.0 } } }, |
| 138 | { { "output", {-7.0, 30.0, 8.0, -6.0 } } }); |
| 139 | } |
| 140 | |
| 141 | struct ThreeInputBroadcast1D4D4DInputsFixture : AddNFixture |
| 142 | { |
| 143 | ThreeInputBroadcast1D4D4DInputsFixture() : AddNFixture({ { 1 }, { 1, 1, 2, 2 }, { 1, 1, 2, 2 } }, 3) {} |
| 144 | }; |
| 145 | |
| 146 | BOOST_FIXTURE_TEST_CASE(ThreeInputBroadcast1D4D4DInputs, ThreeInputBroadcast1D4D4DInputsFixture) |
| 147 | { |
| 148 | RunTest<4>({ { "input0", { 1.0 } }, |
| 149 | { "input1", { 1.0, 5.0, 2.0, 2.0 } }, |
| 150 | { "input2", { 1.0, 1.0, 2.0, 2.0 } } }, |
| 151 | { { "output", { 3.0, 7.0, 5.0, 5.0 } } }); |
| 152 | } |
| 153 | |
| 154 | struct ThreeInputBroadcast4D1D4DInputsFixture : AddNFixture |
| 155 | { |
| 156 | ThreeInputBroadcast4D1D4DInputsFixture() : AddNFixture({ { 1, 1, 2, 2 }, { 1 }, { 1, 1, 2, 2 } }, 3) {} |
| 157 | }; |
| 158 | |
| 159 | BOOST_FIXTURE_TEST_CASE(ThreeInputBroadcast4D1D4DInputs, ThreeInputBroadcast4D1D4DInputsFixture) |
| 160 | { |
| 161 | RunTest<4>({ { "input0", { 1.0, 3.0, 9.0, 4.0 } }, |
| 162 | { "input1", {-2.0 } }, |
| 163 | { "input2", { 1.0, 1.0, 2.0, 2.0 } } }, |
| 164 | { { "output", { 0.0, 2.0, 9.0, 4.0 } } }); |
| 165 | } |
| 166 | |
| 167 | struct ThreeInputBroadcast4D4D1DInputsFixture : AddNFixture |
| 168 | { |
| 169 | ThreeInputBroadcast4D4D1DInputsFixture() : AddNFixture({ { 1, 1, 2, 2 }, { 1, 1, 2, 2 }, { 1 } }, 3) {} |
| 170 | }; |
| 171 | |
| 172 | BOOST_FIXTURE_TEST_CASE(ThreeInputBroadcast4D4D1DInputs, ThreeInputBroadcast4D4D1DInputsFixture) |
| 173 | { |
| 174 | RunTest<4>({ { "input0", { 1.0, 5.0, 2.0, 2.0 } }, |
| 175 | { "input1", { 1.0, 1.0, 2.0, 2.0 } }, |
| 176 | { "input2", { 1.0 } } }, |
| 177 | { { "output", { 3.0, 7.0, 5.0, 5.0 } } }); |
| 178 | } |
| 179 | |
| 180 | BOOST_AUTO_TEST_SUITE_END() |