Ferran Balaguer | 51dd62f | 2019-01-11 19:29:18 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
Ferran Balaguer | 51dd62f | 2019-01-11 19:29:18 +0000 | [diff] [blame] | 6 | #include "armnnTfParser/ITfParser.hpp" |
Matthew Bentham | 4057d91 | 2019-01-21 15:45:51 +0000 | [diff] [blame] | 7 | |
| 8 | #include <ParserPrototxtFixture.hpp> |
| 9 | #include <PrototxtConversions.hpp> |
| 10 | |
| 11 | #include <boost/test/unit_test.hpp> |
Ferran Balaguer | 51dd62f | 2019-01-11 19:29:18 +0000 | [diff] [blame] | 12 | |
| 13 | BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| 14 | |
| 15 | struct MeanFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 16 | { |
| 17 | explicit MeanFixture(const armnn::TensorShape& inputShape, const armnn::TensorShape& outputShape, |
| 18 | const std::vector<unsigned int>& axis, bool keepDims) |
| 19 | { |
| 20 | std::string protobufAxisString; |
| 21 | std::vector<unsigned int> protobufAxis(axis); |
| 22 | |
| 23 | // If no axis range is specified, the reduction is applied to |
| 24 | // all dimensions of the input tensor |
| 25 | if (protobufAxis.size() == 0) |
| 26 | { |
| 27 | for (unsigned int i = 0; i < inputShape.GetNumDimensions(); ++i) |
| 28 | { |
| 29 | protobufAxis.push_back(i); |
| 30 | } |
| 31 | } |
| 32 | |
| 33 | for (unsigned int i = 0; i < protobufAxis.size(); ++i) |
| 34 | { |
Matthew Bentham | 4057d91 | 2019-01-21 15:45:51 +0000 | [diff] [blame] | 35 | protobufAxisString.append(armnnUtils::ConvertInt32ToOctalString(static_cast<int>(protobufAxis[i]))); |
Ferran Balaguer | 51dd62f | 2019-01-11 19:29:18 +0000 | [diff] [blame] | 36 | } |
| 37 | |
| 38 | m_Prototext = R"(node { |
| 39 | name: "input" |
| 40 | op: "Placeholder" |
| 41 | attr { |
| 42 | key: "dtype" |
| 43 | value { |
| 44 | type: DT_FLOAT |
| 45 | } |
| 46 | } |
| 47 | attr { |
| 48 | key: "shape" |
| 49 | value { |
| 50 | shape { |
| 51 | } |
| 52 | } |
| 53 | } |
| 54 | } |
| 55 | node { |
| 56 | name: "Const" |
| 57 | op: "Const" |
| 58 | attr { |
| 59 | key: "dtype" |
| 60 | value { |
| 61 | type: DT_INT32 |
| 62 | } |
| 63 | } |
| 64 | attr { |
| 65 | key: "value" |
| 66 | value { )"; |
| 67 | |
| 68 | if (axis.size() == 1) |
| 69 | { |
| 70 | m_Prototext.append(R"( tensor { |
| 71 | dtype: DT_INT32 |
| 72 | tensor_shape { |
| 73 | } |
| 74 | int_val: )").append(std::to_string(protobufAxis[0])).append(R"( |
| 75 | } )"); |
| 76 | } |
| 77 | else |
| 78 | { |
| 79 | m_Prototext.append(R"( tensor { |
| 80 | dtype: DT_INT32 |
| 81 | tensor_shape { |
| 82 | dim { |
| 83 | size: 2 |
| 84 | } |
| 85 | } |
| 86 | tensor_content: ")").append(protobufAxisString).append(R"(" |
| 87 | } )"); |
| 88 | } |
| 89 | |
| 90 | m_Prototext.append(R"( } |
| 91 | } |
| 92 | } |
| 93 | node { |
| 94 | name: "output" |
| 95 | op: "Mean" |
| 96 | input: "input" |
| 97 | input: "Const" |
| 98 | attr { |
| 99 | key: "T" |
| 100 | value { |
| 101 | type: DT_FLOAT |
| 102 | } |
| 103 | } |
| 104 | attr { |
| 105 | key: "Tidx" |
| 106 | value { |
| 107 | type: DT_INT32 |
| 108 | } |
| 109 | } |
| 110 | attr { |
| 111 | key: "keep_dims" |
| 112 | value { |
| 113 | b: )").append(keepDims ? "true" : "false").append(R"( |
| 114 | } |
| 115 | } |
| 116 | })"); |
| 117 | |
| 118 | SetupSingleInputSingleOutput(inputShape, outputShape, "input", "output"); |
| 119 | } |
| 120 | }; |
| 121 | |
| 122 | struct MeanNoAxisNoKeepDimsFixture: MeanFixture |
| 123 | { |
| 124 | MeanNoAxisNoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 1 }, {}, false) {} |
| 125 | }; |
| 126 | |
| 127 | struct MeanWithAxis0NoKeepDimsFixture: MeanFixture |
| 128 | { |
| 129 | MeanWithAxis0NoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 3 }, { 0 }, false) {} |
| 130 | }; |
| 131 | |
| 132 | struct MeanWithAxis1NoKeepDimsFixture: MeanFixture |
| 133 | { |
| 134 | MeanWithAxis1NoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 2 }, { 1 }, false) {} |
| 135 | }; |
| 136 | |
| 137 | struct MeanWithAxis0KeepDimsFixture: MeanFixture |
| 138 | { |
| 139 | MeanWithAxis0KeepDimsFixture() : MeanFixture({ 2, 3 }, { 1, 3 }, { 0 }, true) {} |
| 140 | }; |
| 141 | |
| 142 | struct MeanWithAxis1KeepDimsFixture: MeanFixture |
| 143 | { |
| 144 | MeanWithAxis1KeepDimsFixture() : MeanFixture({ 2, 3 }, { 2, 1 }, { 1 }, true) {} |
| 145 | }; |
| 146 | |
| 147 | |
| 148 | BOOST_FIXTURE_TEST_CASE(MeanNoAxisNoKeepDims, MeanNoAxisNoKeepDimsFixture) |
| 149 | { |
| 150 | RunTest<1>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } }, |
| 151 | { { "output", { 1.5f } } }); |
| 152 | } |
| 153 | |
| 154 | BOOST_FIXTURE_TEST_CASE(MeanWithAxis0NoKeepDims, MeanWithAxis0NoKeepDimsFixture) |
| 155 | { |
| 156 | RunTest<1>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } }, |
| 157 | { { "output", { 1.5f, 1.5f, 1.5f } } }); |
| 158 | } |
| 159 | |
| 160 | BOOST_FIXTURE_TEST_CASE(MeanWithAxis1NoKeepDims, MeanWithAxis1NoKeepDimsFixture) |
| 161 | { |
| 162 | RunTest<1>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } }, |
| 163 | { { "output", { 1.f, 2.f } } }); |
| 164 | } |
| 165 | |
| 166 | BOOST_FIXTURE_TEST_CASE(MeanWithAxis0KeepDims, MeanWithAxis0KeepDimsFixture) |
| 167 | { |
| 168 | RunTest<2>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } }, |
| 169 | { { "output", { 1.5f, 1.5f, 1.5f } } }); |
| 170 | } |
| 171 | |
| 172 | BOOST_FIXTURE_TEST_CASE(MeanWithAxis1KeepDims, MeanWithAxis1KeepDimsFixture) |
| 173 | { |
| 174 | RunTest<2>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } }, |
| 175 | { { "output", { 1.f, 2.f } } }); |
| 176 | } |
| 177 | |
| 178 | BOOST_AUTO_TEST_SUITE_END() |