// // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "ParserFlatbuffersFixture.hpp" #include "../TfLiteParser.hpp" #include TEST_SUITE("TensorflowLiteParser_Comparison") { struct ComparisonFixture : public ParserFlatbuffersFixture { explicit ComparisonFixture(const std::string& operatorCode, const std::string& dataType, const std::string& inputShape, const std::string& inputShape2, const std::string& outputShape) { m_JsonString = R"( { "version": 3, "operator_codes": [ { "builtin_code": )" + operatorCode + R"( } ], "subgraphs": [ { "tensors": [ { "shape": )" + inputShape + R"(, "type": )" + dataType + R"( , "buffer": 0, "name": "inputTensor", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } }, { "shape": )" + inputShape2 + R"(, "type": )" + dataType + R"( , "buffer": 1, "name": "inputTensor2", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } }, { "shape": )" + outputShape + R"( , "type": "BOOL", "buffer": 2, "name": "outputTensor", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } } ], "inputs": [ 0, 1 ], "outputs": [ 2 ], "operators": [ { "opcode_index": 0, "inputs": [ 0, 1 ], "outputs": [ 2 ], "custom_options_format": "FLEXBUFFERS" } ], } ], "buffers" : [ { }, { } ] } )"; Setup(); } }; struct SimpleEqualFixture : public ComparisonFixture { SimpleEqualFixture() : ComparisonFixture("EQUAL", "UINT8", "[ 2, 2 ]", "[ 2, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(SimpleEqualFixture, "SimpleEqual") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 0, 1, 2, 3 }}, {"inputTensor2", { 0, 1, 5, 6 }}}, {{"outputTensor", { 1, 1, 0, 0 }}}); } struct BroadcastEqualFixture : public ComparisonFixture { BroadcastEqualFixture() : ComparisonFixture("EQUAL", "UINT8", "[ 2, 2 ]", "[ 1, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(BroadcastEqualFixture, "BroadcastEqual") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 0, 1, 2, 3 }}, {"inputTensor2", { 0, 1 }}}, {{"outputTensor", { 1, 1, 0, 0 }}}); } struct SimpleNotEqualFixture : public ComparisonFixture { SimpleNotEqualFixture() : ComparisonFixture("NOT_EQUAL", "UINT8", "[ 2, 2 ]", "[ 2, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(SimpleNotEqualFixture, "SimpleNotEqual") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 0, 1, 2, 3 }}, {"inputTensor2", { 0, 1, 5, 6 }}}, {{"outputTensor", { 0, 0, 1, 1 }}}); } struct BroadcastNotEqualFixture : public ComparisonFixture { BroadcastNotEqualFixture() : ComparisonFixture("NOT_EQUAL", "UINT8", "[ 2, 2 ]", "[ 1, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(BroadcastNotEqualFixture, "BroadcastNotEqual") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 0, 1, 2, 3 }}, {"inputTensor2", { 0, 1 }}}, {{"outputTensor", { 0, 0, 1, 1 }}}); } struct SimpleGreaterFixture : public ComparisonFixture { SimpleGreaterFixture() : ComparisonFixture("GREATER", "UINT8", "[ 2, 2 ]", "[ 2, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(SimpleGreaterFixture, "SimpleGreater") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 0, 2, 3, 6 }}, {"inputTensor2", { 0, 1, 5, 3 }}}, {{"outputTensor", { 0, 1, 0, 1 }}}); } struct BroadcastGreaterFixture : public ComparisonFixture { BroadcastGreaterFixture() : ComparisonFixture("GREATER", "UINT8", "[ 2, 2 ]", "[ 1, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(BroadcastGreaterFixture, "BroadcastGreater") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 5, 4, 1, 0 }}, {"inputTensor2", { 2, 3 }}}, {{"outputTensor", { 1, 1, 0, 0 }}}); } struct SimpleGreaterOrEqualFixture : public ComparisonFixture { SimpleGreaterOrEqualFixture() : ComparisonFixture("GREATER_EQUAL", "UINT8", "[ 2, 2 ]", "[ 2, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(SimpleGreaterOrEqualFixture, "SimpleGreaterOrEqual") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 0, 2, 3, 6 }}, {"inputTensor2", { 0, 1, 5, 3 }}}, {{"outputTensor", { 1, 1, 0, 1 }}}); } struct BroadcastGreaterOrEqualFixture : public ComparisonFixture { BroadcastGreaterOrEqualFixture() : ComparisonFixture("GREATER_EQUAL", "UINT8", "[ 2, 2 ]", "[ 1, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(BroadcastGreaterOrEqualFixture, "BroadcastGreaterOrEqual") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 5, 4, 1, 0 }}, {"inputTensor2", { 2, 4 }}}, {{"outputTensor", { 1, 1, 0, 0 }}}); } struct SimpleLessFixture : public ComparisonFixture { SimpleLessFixture() : ComparisonFixture("LESS", "UINT8", "[ 2, 2 ]", "[ 2, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(SimpleLessFixture, "SimpleLess") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 0, 2, 3, 6 }}, {"inputTensor2", { 0, 1, 5, 3 }}}, {{"outputTensor", { 0, 0, 1, 0 }}}); } struct BroadcastLessFixture : public ComparisonFixture { BroadcastLessFixture() : ComparisonFixture("LESS", "UINT8", "[ 2, 2 ]", "[ 1, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(BroadcastLessFixture, "BroadcastLess") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 5, 4, 1, 0 }}, {"inputTensor2", { 2, 3 }}}, {{"outputTensor", { 0, 0, 1, 1 }}}); } struct SimpleLessOrEqualFixture : public ComparisonFixture { SimpleLessOrEqualFixture() : ComparisonFixture("LESS_EQUAL", "UINT8", "[ 2, 2 ]", "[ 2, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(SimpleLessOrEqualFixture, "SimpleLessOrEqual") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 0, 2, 3, 6 }}, {"inputTensor2", { 0, 1, 5, 3 }}}, {{"outputTensor", { 1, 0, 1, 0 }}}); } struct BroadcastLessOrEqualFixture : public ComparisonFixture { BroadcastLessOrEqualFixture() : ComparisonFixture("LESS_EQUAL", "UINT8", "[ 2, 2 ]", "[ 1, 2 ]", "[ 2, 2 ]") {} }; TEST_CASE_FIXTURE(BroadcastLessOrEqualFixture, "BroadcastLessOrEqual") { RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::Boolean>( 0, {{"inputTensor", { 5, 4, 1, 0 }}, {"inputTensor2", { 1, 3 }}}, {{"outputTensor", { 0, 0, 1, 1 }}}); } }