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_Reshape") 10 { 11 struct ReshapeFixture : public ParserFlatbuffersFixture 12 { ReshapeFixtureReshapeFixture13 explicit ReshapeFixture(const std::string& inputShape, 14 const std::string& outputShape, 15 const std::string& newShape) 16 { 17 m_JsonString = R"( 18 { 19 "version": 3, 20 "operator_codes": [ { "builtin_code": "RESHAPE" } ], 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": "ReshapeOptions", 60 "builtin_options": {)"; 61 if (!newShape.empty()) 62 { 63 m_JsonString += R"("new_shape" : )" + newShape; 64 } 65 m_JsonString += R"(}, 66 "custom_options_format": "FLEXBUFFERS" 67 } 68 ], 69 } ], 70 "buffers" : [ {}, {} ] 71 } 72 )"; 73 74 } 75 }; 76 77 struct ReshapeFixtureWithReshapeDims : ReshapeFixture 78 { ReshapeFixtureWithReshapeDimsReshapeFixtureWithReshapeDims79 ReshapeFixtureWithReshapeDims() : ReshapeFixture("[ 1, 9 ]", "[ 3, 3 ]", "[ 3, 3 ]") {} 80 }; 81 82 TEST_CASE_FIXTURE(ReshapeFixtureWithReshapeDims, "ParseReshapeWithReshapeDims") 83 { 84 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 85 RunTest<2, armnn::DataType::QAsymmU8>(0, 86 { 1, 2, 3, 4, 5, 6, 7, 8, 9 }, 87 { 1, 2, 3, 4, 5, 6, 7, 8, 9 }); 88 CHECK((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() 89 == armnn::TensorShape({3,3}))); 90 } 91 92 struct ReshapeFixtureWithReshapeDimsFlatten : ReshapeFixture 93 { ReshapeFixtureWithReshapeDimsFlattenReshapeFixtureWithReshapeDimsFlatten94 ReshapeFixtureWithReshapeDimsFlatten() : ReshapeFixture("[ 3, 3 ]", "[ 9 ]", "[ -1 ]") {} 95 }; 96 97 TEST_CASE_FIXTURE(ReshapeFixtureWithReshapeDimsFlatten, "ParseReshapeWithReshapeDimsFlatten") 98 { 99 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 100 RunTest<1, armnn::DataType::QAsymmU8>(0, 101 { 1, 2, 3, 4, 5, 6, 7, 8, 9 }, 102 { 1, 2, 3, 4, 5, 6, 7, 8, 9 }); 103 CHECK((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() 104 == armnn::TensorShape({9}))); 105 } 106 107 struct ReshapeFixtureWithReshapeDimsFlattenTwoDims : ReshapeFixture 108 { ReshapeFixtureWithReshapeDimsFlattenTwoDimsReshapeFixtureWithReshapeDimsFlattenTwoDims109 ReshapeFixtureWithReshapeDimsFlattenTwoDims() : ReshapeFixture("[ 3, 2, 3 ]", "[ 2, 9 ]", "[ 2, -1 ]") {} 110 }; 111 112 TEST_CASE_FIXTURE(ReshapeFixtureWithReshapeDimsFlattenTwoDims, "ParseReshapeWithReshapeDimsFlattenTwoDims") 113 { 114 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 115 RunTest<2, armnn::DataType::QAsymmU8>(0, 116 { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }, 117 { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }); 118 CHECK((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() 119 == armnn::TensorShape({2,9}))); 120 } 121 122 struct ReshapeFixtureWithReshapeDimsFlattenOneDim : ReshapeFixture 123 { ReshapeFixtureWithReshapeDimsFlattenOneDimReshapeFixtureWithReshapeDimsFlattenOneDim124 ReshapeFixtureWithReshapeDimsFlattenOneDim() : ReshapeFixture("[ 2, 9 ]", "[ 2, 3, 3 ]", "[ 2, -1, 3 ]") {} 125 }; 126 127 TEST_CASE_FIXTURE(ReshapeFixtureWithReshapeDimsFlattenOneDim, "ParseReshapeWithReshapeDimsFlattenOneDim") 128 { 129 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 130 RunTest<3, armnn::DataType::QAsymmU8>(0, 131 { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }, 132 { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }); 133 CHECK((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() 134 == armnn::TensorShape({2,3,3}))); 135 } 136 137 struct DynamicReshapeFixtureWithReshapeDimsFlattenOneDim : ReshapeFixture 138 { DynamicReshapeFixtureWithReshapeDimsFlattenOneDimDynamicReshapeFixtureWithReshapeDimsFlattenOneDim139 DynamicReshapeFixtureWithReshapeDimsFlattenOneDim() : ReshapeFixture("[ 2, 9 ]", 140 "[ ]", 141 "[ 2, -1, 3 ]") {} 142 }; 143 144 TEST_CASE_FIXTURE(DynamicReshapeFixtureWithReshapeDimsFlattenOneDim, "DynParseReshapeWithReshapeDimsFlattenOneDim") 145 { 146 SetupSingleInputSingleOutput("inputTensor", "outputTensor"); 147 RunTest<3, 148 armnn::DataType::QAsymmU8, 149 armnn::DataType::QAsymmU8>(0, 150 { { "inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 } } }, 151 { { "outputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 } } }, 152 true); 153 } 154 155 } 156