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Diffstat (limited to 'src/armnnDeserializer/test/DeserializeGreater.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeGreater.cpp | 182 |
1 files changed, 182 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeGreater.cpp b/src/armnnDeserializer/test/DeserializeGreater.cpp new file mode 100644 index 0000000000..d1ff250d3d --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeGreater.cpp @@ -0,0 +1,182 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <boost/test/unit_test.hpp> +#include "ParserFlatbuffersSerializeFixture.hpp" +#include "../Deserializer.hpp" + +#include <string> +#include <iostream> + +BOOST_AUTO_TEST_SUITE(Deserializer) + +struct GreaterFixture : public ParserFlatbuffersSerializeFixture +{ + explicit GreaterFixture(const std::string & inputShape1, + const std::string & inputShape2, + const std::string & outputShape, + const std::string & inputDataType, + const std::string & outputDataType) + { + m_JsonString = R"( + { + inputIds: [0, 1], + outputIds: [3], + layers: [ + { + layer_type: "InputLayer", + layer: { + base: { + layerBindingId: 0, + base: { + index: 0, + layerName: "InputLayer1", + layerType: "Input", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + inputShape1 + R"(, + dataType: )" + inputDataType + R"( + }, + }], + },}}, + }, + { + layer_type: "InputLayer", + layer: { + base: { + layerBindingId: 1, + base: { + index:1, + layerName: "InputLayer2", + layerType: "Input", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + inputShape2 + R"(, + dataType: )" + inputDataType + R"( + }, + }], + },}}, + }, + { + layer_type: "GreaterLayer", + layer : { + base: { + index:2, + layerName: "GreaterLayer", + layerType: "Greater", + inputSlots: [ + { + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }, + { + index: 1, + connection: {sourceLayerIndex:1, outputSlotIndex:0 }, + } + ], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: Boolean + }, + }], + }}, + }, + { + layer_type: "OutputLayer", + layer: { + base:{ + layerBindingId: 0, + base: { + index: 3, + layerName: "OutputLayer", + layerType: "Output", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:2, outputSlotIndex:0 }, + }], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + outputDataType + R"( + }, + }], + }}}, + }] + } + )"; + Setup(); + } +}; + + +struct SimpleGreaterFixtureQuantisedAsymm8 : GreaterFixture +{ + SimpleGreaterFixtureQuantisedAsymm8() : GreaterFixture("[ 2, 2 ]", // input1Shape + "[ 2, 2 ]", // input2Shape + "[ 2, 2 ]", // outputShape + "QuantisedAsymm8", // inputDataType + "Float32") {} // outputDataType +}; + +struct SimpleGreaterFixtureFloat32 : GreaterFixture +{ + SimpleGreaterFixtureFloat32() : GreaterFixture("[ 2, 2, 1, 1 ]", // input1Shape + "[ 2, 2, 1, 1 ]", // input2Shape + "[ 2, 2, 1, 1 ]", // outputShape + "Float32", // inputDataType + "Float32") {} // outputDataType +}; + +struct SimpleGreaterFixtureBroadcast : GreaterFixture +{ + SimpleGreaterFixtureBroadcast() : GreaterFixture("[ 1, 2, 2, 2 ]", // input1Shape + "[ 1, 1, 1, 1 ]", // input2Shape + "[ 1, 2, 2, 2 ]", // outputShape + "Float32", // inputDataType + "Float32") {} // outputDataType +}; + + +BOOST_FIXTURE_TEST_CASE(GreaterQuantisedAsymm8, SimpleGreaterFixtureQuantisedAsymm8) +{ + RunTest<2, armnn::DataType::QuantisedAsymm8, armnn::DataType::Boolean>( + 0, + {{"InputLayer1", { 1, 5, 8, 7 }}, + { "InputLayer2", { 4, 0, 6, 7 }}}, + {{"OutputLayer", { 0, 1, 1, 0 }}}); +} + +BOOST_FIXTURE_TEST_CASE(GreaterFloat32, SimpleGreaterFixtureFloat32) +{ + RunTest<4, armnn::DataType::Float32, armnn::DataType::Boolean>( + 0, + {{"InputLayer1", { 1.0f, 2.0f, 3.0f, 4.0f }}, + { "InputLayer2", { 1.0f, 5.0f, 2.0f, 2.0f }}}, + {{"OutputLayer", { 0, 0, 1, 1 }}}); +} + +BOOST_FIXTURE_TEST_CASE(GreaterBroadcast, SimpleGreaterFixtureBroadcast) +{ + RunTest<4, armnn::DataType::Float32, armnn::DataType::Boolean>( + 0, + {{"InputLayer1", { 1, 2, 3, 4, 5, 6, 7, 8 }}, + {"InputLayer2", { 1 }}}, + {{"OutputLayer", { 0, 1, 1, 1, 1, 1, 1, 1 }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |