1 // 2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. 3 // SPDX-License-Identifier: MIT 4 // 5 6 #include "ParserFlatbuffersFixture.hpp" 7 8 9 TEST_SUITE("TensorflowLiteParser_Div") 10 { 11 struct DivFixture : public ParserFlatbuffersFixture 12 { DivFixtureDivFixture13 explicit DivFixture(const std::string & inputShape1, 14 const std::string & inputShape2, 15 const std::string & outputShape, 16 const std::string & activation="NONE") 17 { 18 m_JsonString = R"( 19 { 20 "version": 3, 21 "operator_codes": [ { "builtin_code": "DIV" } ], 22 "subgraphs": [ { 23 "tensors": [ 24 { 25 "shape": )" + inputShape1 + R"(, 26 "type": "FLOAT32", 27 "buffer": 0, 28 "name": "inputTensor1", 29 "quantization": { 30 "min": [ 0.0 ], 31 "max": [ 255.0 ], 32 "scale": [ 1.0 ], 33 "zero_point": [ 0 ], 34 } 35 }, 36 { 37 "shape": )" + inputShape2 + R"(, 38 "type": "FLOAT32", 39 "buffer": 1, 40 "name": "inputTensor2", 41 "quantization": { 42 "min": [ 0.0 ], 43 "max": [ 255.0 ], 44 "scale": [ 1.0 ], 45 "zero_point": [ 0 ], 46 } 47 }, 48 { 49 "shape": )" + outputShape + R"( , 50 "type": "FLOAT32", 51 "buffer": 2, 52 "name": "outputTensor", 53 "quantization": { 54 "min": [ 0.0 ], 55 "max": [ 255.0 ], 56 "scale": [ 1.0 ], 57 "zero_point": [ 0 ], 58 } 59 } 60 ], 61 "inputs": [ 0, 1 ], 62 "outputs": [ 2 ], 63 "operators": [ 64 { 65 "opcode_index": 0, 66 "inputs": [ 0, 1 ], 67 "outputs": [ 2 ], 68 "builtin_options_type": "DivOptions", 69 "builtin_options": { 70 "fused_activation_function": )" + activation + R"( 71 }, 72 "custom_options_format": "FLEXBUFFERS" 73 } 74 ], 75 } ], 76 "buffers" : [ 77 { }, 78 { } 79 ] 80 } 81 )"; 82 Setup(); 83 } 84 }; 85 86 struct SimpleDivFixture : public DivFixture 87 { SimpleDivFixtureSimpleDivFixture88 SimpleDivFixture() : DivFixture("[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]") {} 89 }; 90 91 TEST_CASE_FIXTURE(SimpleDivFixture, "ParseDiv") 92 { 93 using armnn::DataType; 94 float Inf = std::numeric_limits<float>::infinity(); 95 float NaN = std::numeric_limits<float>::quiet_NaN(); 96 97 RunTest<4, DataType::Float32>(0, {{ "inputTensor1", { 0.0f, 1.0f, 2.0f, 98 3.0f, 4.0f, 5.0f, 99 6.0f, 7.0f, 8.0f, 100 9.0f, 10.0f, -11.0f } }, 101 { "inputTensor2", { 0.0f, 0.0f, 4.0f, 102 3.0f, 40.0f, 5.0f, 103 6.0f, 7.0f, 8.0f, 104 9.0f, 10.0f, 11.0f} } }, 105 {{ "outputTensor", { NaN, Inf, 0.5f, 106 1.0f, 0.1f, 1.0f, 107 1.0f, 1.0f, 1.0f, 108 1.0f, 1.0f, -1.0f } } }); 109 } 110 111 112 struct DynamicDivFixture : public DivFixture 113 { DynamicDivFixtureDynamicDivFixture114 DynamicDivFixture() : DivFixture("[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]", "[ ]") {} 115 }; 116 117 TEST_CASE_FIXTURE(DynamicDivFixture, "ParseDynamicDiv") 118 { 119 using armnn::DataType; 120 float Inf = std::numeric_limits<float>::infinity(); 121 float NaN = std::numeric_limits<float>::quiet_NaN(); 122 123 RunTest<4, DataType::Float32, DataType::Float32>(0, {{ "inputTensor1", { 0.0f, 1.0f, 2.0f, 124 3.0f, 4.0f, 5.0f, 125 6.0f, 7.0f, 8.0f, 126 9.0f, 10.0f, -11.0f } }, 127 { "inputTensor2", { 0.0f, 0.0f, 4.0f, 128 3.0f, 40.0f, 5.0f, 129 6.0f, 7.0f, 8.0f, 130 9.0f, 10.0f, 11.0f} } }, 131 {{ "outputTensor", { NaN, Inf, 0.5f, 132 1.0f, 0.1f, 1.0f, 133 1.0f, 1.0f, 1.0f, 134 1.0f, 1.0f, -1.0f } } }, true); 135 } 136 137 } 138