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Diffstat (limited to 'src/armnnDeserializer/test')
-rw-r--r-- | src/armnnDeserializer/test/DeserializeDivision.cpp | 160 |
1 files changed, 160 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeDivision.cpp b/src/armnnDeserializer/test/DeserializeDivision.cpp new file mode 100644 index 0000000000..dc6f5820cf --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeDivision.cpp @@ -0,0 +1,160 @@ +// +// 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 DivisionFixture : public ParserFlatbuffersSerializeFixture +{ + explicit DivisionFixture(const std::string & inputShape1, + const std::string & inputShape2, + const std::string & outputShape, + const std::string & dataType) + { + 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: )" + dataType + 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: )" + dataType + R"( + }, + }], + },}}, + }, + { + layer_type: "DivisionLayer", + layer : { + base: { + index:2, + layerName: "DivisionLayer", + layerType: "Division", + inputSlots: [ + { + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }, + { + index: 1, + connection: {sourceLayerIndex:1, outputSlotIndex:0 }, + } + ], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + }, + }], + }}, + }, + { + 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: )" + dataType + R"( + }, + }], + }}}, + }] + } + )"; + Setup(); + } +}; + + +struct SimpleDivisionFixture : DivisionFixture +{ + SimpleDivisionFixture() : DivisionFixture("[ 2, 2 ]", + "[ 2, 2 ]", + "[ 2, 2 ]", + "QuantisedAsymm8") {} +}; + +struct SimpleDivisionFixture2 : DivisionFixture +{ + SimpleDivisionFixture2() : DivisionFixture("[ 2, 2, 1, 1 ]", + "[ 2, 2, 1, 1 ]", + "[ 2, 2, 1, 1 ]", + "Float32") {} +}; + +BOOST_FIXTURE_TEST_CASE(DivisionQuantisedAsymm8, SimpleDivisionFixture) +{ + RunTest<2, armnn::DataType::QuantisedAsymm8>( + 0, + {{"InputLayer1", { 0, 5, 24, 21 }}, + {"InputLayer2", { 4, 1, 6, 7 }}}, + {{"OutputLayer", { 0, 5, 3, 3 }}}); +} + +BOOST_FIXTURE_TEST_CASE(DivisionFloat32, SimpleDivisionFixture2) +{ + RunTest<4, armnn::DataType::Float32>( + 0, + {{"InputLayer1", { 100, 40, 226, 9 }}, + {"InputLayer2", { 5, 8, 1, 3 }}}, + {{"OutputLayer", { 20, 5, 226, 3 }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |