1 // 2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. 3 // SPDX-License-Identifier: MIT 4 // 5 6 #include "ParserFlatbuffersFixture.hpp" 7 8 9 TEST_SUITE("TensorflowLiteParser_Squeeze") 10 { 11 struct SqueezeFixture : public ParserFlatbuffersFixture 12 { SqueezeFixtureSqueezeFixture13 explicit SqueezeFixture(const std::string& inputShape, 14 const std::string& outputShape, 15 const std::string& squeezeDims) 16 { 17 m_JsonString = R"( 18 { 19 "version": 3, 20 "operator_codes": [ { "builtin_code": "SQUEEZE" } ], 21 "subgraphs": [ { 22 "tensors": [ 23 {)"; 24 m_JsonString += R"( 25 "shape" : )" + inputShape + ","; 26 m_JsonString += R"( 27 "type": "UINT8", 28 "buffer": 0, 29 "name": "inputTensor", 30 "quantization": { 31 "min": [ 0.0 ], 32 "max": [ 255.0 ], 33 "scale": [ 1.0 ], 34 "zero_point": [ 0 ], 35 } 36 }, 37 {)"; 38 m_JsonString += R"( 39 "shape" : )" + outputShape; 40 m_JsonString += R"(, 41 "type": "UINT8", 42 "buffer": 1, 43 "name": "outputTensor", 44 "quantization": { 45 "min": [ 0.0 ], 46 "max": [ 255.0 ], 47 "scale": [ 1.0 ], 48 "zero_point": [ 0 ], 49 } 50 } 51 ], 52 "inputs": [ 0 ], 53 "outputs": [ 1 ], 54 "operators": [ 55 { 56 "opcode_index": 0, 57 "inputs": [ 0 ], 58 "outputs": [ 1 ], 59 "builtin_options_type": "SqueezeOptions", 60 "builtin_options": {)"; 61 if (!squeezeDims.empty()) 62 { 63 m_JsonString += R"("squeeze_dims" : )" + squeezeDims; 64 } 65 m_JsonString += R"(}, 66 "custom_options_format": "FLEXBUFFERS" 67 } 68 ], 69 } ], 70 "buffers" : [ {}, {} ] 71 } 72 )"; 73 } 74 }; 75 76 struct SqueezeFixtureWithSqueezeDims : SqueezeFixture 77 { SqueezeFixtureWithSqueezeDimsSqueezeFixtureWithSqueezeDims78 SqueezeFixtureWithSqueezeDims() : SqueezeFixture("[ 1, 2, 2, 1 ]", "[ 2, 2, 1 ]", "[ 0, 1, 2 ]") {} 79 }; 80 81 TEST_CASE_FIXTURE(SqueezeFixtureWithSqueezeDims, "ParseSqueezeWithSqueezeDims") 82 { 83 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 84 RunTest<3, armnn::DataType::QAsymmU8>(0, { 1, 2, 3, 4 }, { 1, 2, 3, 4 }); 85 CHECK((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() 86 == armnn::TensorShape({2,2,1}))); 87 88 } 89 90 struct SqueezeFixtureWithoutSqueezeDims : SqueezeFixture 91 { SqueezeFixtureWithoutSqueezeDimsSqueezeFixtureWithoutSqueezeDims92 SqueezeFixtureWithoutSqueezeDims() : SqueezeFixture("[ 1, 2, 2, 1 ]", "[ 2, 2 ]", "") {} 93 }; 94 95 TEST_CASE_FIXTURE(SqueezeFixtureWithoutSqueezeDims, "ParseSqueezeWithoutSqueezeDims") 96 { 97 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 98 RunTest<2, armnn::DataType::QAsymmU8>(0, { 1, 2, 3, 4 }, { 1, 2, 3, 4 }); 99 CHECK((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() 100 == armnn::TensorShape({2,2}))); 101 } 102 103 struct SqueezeFixtureWithInvalidInput : SqueezeFixture 104 { SqueezeFixtureWithInvalidInputSqueezeFixtureWithInvalidInput105 SqueezeFixtureWithInvalidInput() : SqueezeFixture("[ 1, 2, 2, 1, 2, 2 ]", "[ 1, 2, 2, 1, 2 ]", "[ ]") {} 106 }; 107 108 TEST_CASE_FIXTURE(SqueezeFixtureWithInvalidInput, "ParseSqueezeInvalidInput") 109 { 110 static_assert(armnn::MaxNumOfTensorDimensions == 5, "Please update SqueezeFixtureWithInvalidInput"); 111 CHECK_THROWS_AS((SetupSingleInputSingleOutput("inputTensor", "outputTensor")), 112 armnn::InvalidArgumentException); 113 } 114 115 struct SqueezeFixtureWithSqueezeDimsSizeInvalid : SqueezeFixture 116 { SqueezeFixtureWithSqueezeDimsSizeInvalidSqueezeFixtureWithSqueezeDimsSizeInvalid117 SqueezeFixtureWithSqueezeDimsSizeInvalid() : SqueezeFixture("[ 1, 2, 2, 1 ]", 118 "[ 1, 2, 2, 1 ]", 119 "[ 1, 2, 2, 2, 2 ]") {} 120 }; 121 122 TEST_CASE_FIXTURE(SqueezeFixtureWithSqueezeDimsSizeInvalid, "ParseSqueezeInvalidSqueezeDims") 123 { 124 CHECK_THROWS_AS((SetupSingleInputSingleOutput("inputTensor", "outputTensor")), armnn::ParseException); 125 } 126 127 128 struct SqueezeFixtureWithNegativeSqueezeDims1 : SqueezeFixture 129 { SqueezeFixtureWithNegativeSqueezeDims1SqueezeFixtureWithNegativeSqueezeDims1130 SqueezeFixtureWithNegativeSqueezeDims1() : SqueezeFixture("[ 1, 2, 2, 1 ]", 131 "[ 2, 2, 1 ]", 132 "[ -1 ]") {} 133 }; 134 135 TEST_CASE_FIXTURE(SqueezeFixtureWithNegativeSqueezeDims1, "ParseSqueezeNegativeSqueezeDims1") 136 { 137 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 138 RunTest<3, armnn::DataType::QAsymmU8>(0, { 1, 2, 3, 4 }, { 1, 2, 3, 4 }); 139 CHECK((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() 140 == armnn::TensorShape({ 2, 2, 1 }))); 141 } 142 143 struct SqueezeFixtureWithNegativeSqueezeDims2 : SqueezeFixture 144 { SqueezeFixtureWithNegativeSqueezeDims2SqueezeFixtureWithNegativeSqueezeDims2145 SqueezeFixtureWithNegativeSqueezeDims2() : SqueezeFixture("[ 1, 2, 2, 1 ]", 146 "[ 1, 2, 2 ]", 147 "[ -1 ]") {} 148 }; 149 150 TEST_CASE_FIXTURE(SqueezeFixtureWithNegativeSqueezeDims2, "ParseSqueezeNegativeSqueezeDims2") 151 { 152 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 153 RunTest<3, armnn::DataType::QAsymmU8>(0, { 1, 2, 3, 4 }, { 1, 2, 3, 4 }); 154 CHECK((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() 155 == armnn::TensorShape({ 1, 2, 2 }))); 156 } 157 158 struct SqueezeFixtureWithNegativeSqueezeDimsInvalid : SqueezeFixture 159 { SqueezeFixtureWithNegativeSqueezeDimsInvalidSqueezeFixtureWithNegativeSqueezeDimsInvalid160 SqueezeFixtureWithNegativeSqueezeDimsInvalid() : SqueezeFixture("[ 1, 2, 2, 1 ]", 161 "[ 1, 2, 2, 1 ]", 162 "[ -2 , 2 ]") {} 163 }; 164 165 TEST_CASE_FIXTURE(SqueezeFixtureWithNegativeSqueezeDimsInvalid, "ParseSqueezeNegativeSqueezeDimsInvalid") 166 { 167 CHECK_THROWS_AS((SetupSingleInputSingleOutput("inputTensor", "outputTensor")), armnn::ParseException); 168 } 169 170 171 } 172