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Diffstat (limited to 'src/armnnDeserializer/test/DeserializeReshape.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeReshape.cpp | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeReshape.cpp b/src/armnnDeserializer/test/DeserializeReshape.cpp new file mode 100644 index 0000000000..301d8986c0 --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeReshape.cpp @@ -0,0 +1,128 @@ +// +// 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 ReshapeFixture : public ParserFlatbuffersSerializeFixture +{ + explicit ReshapeFixture(const std::string &inputShape, + const std::string &targetShape, + const std::string &outputShape, + const std::string &dataType) + { + m_JsonString = R"( + { + inputIds: [0], + outputIds: [2], + layers: [ + { + layer_type: "InputLayer", + layer: { + base: { + layerBindingId: 0, + base: { + index: 0, + layerName: "InputLayer", + layerType: "Input", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + inputShape + R"(, + dataType: )" + dataType + R"( + }}] + } + }}}, + { + layer_type: "ReshapeLayer", + layer: { + base: { + index: 1, + layerName: "ReshapeLayer", + layerType: "Reshape", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + inputShape + R"(, + dataType: )" + dataType + R"( + + }}]}, + descriptor: { + targetShape: )" + targetShape + R"(, + } + + }}, + { + layer_type: "OutputLayer", + layer: { + base:{ + layerBindingId: 2, + base: { + index: 2, + layerName: "OutputLayer", + layerType: "Output", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + }, + }], + }}}, + }] + } + )"; + SetupSingleInputSingleOutput("InputLayer", "OutputLayer"); + } +}; + +struct SimpleReshapeFixture : ReshapeFixture +{ + SimpleReshapeFixture() : ReshapeFixture("[ 1, 9 ]", "[ 3, 3 ]", "[ 3, 3 ]", + "QuantisedAsymm8") {} +}; + +struct SimpleReshapeFixture2 : ReshapeFixture +{ + SimpleReshapeFixture2() : ReshapeFixture("[ 2, 2, 1, 1 ]", + "[ 2, 2, 1, 1 ]", + "[ 2, 2, 1, 1 ]", + "Float32") {} +}; + +BOOST_FIXTURE_TEST_CASE(ReshapeQuantisedAsymm8, SimpleReshapeFixture) +{ + RunTest<2, armnn::DataType::QuantisedAsymm8>(0, + { 1, 2, 3, 4, 5, 6, 7, 8, 9 }, + { 1, 2, 3, 4, 5, 6, 7, 8, 9 }); +} + +BOOST_FIXTURE_TEST_CASE(ReshapeFloat32, SimpleReshapeFixture2) +{ + RunTest<4, armnn::DataType::Float32>(0, + { 111, 85, 226, 3 }, + { 111, 85, 226, 3 }); +} + + +BOOST_AUTO_TEST_SUITE_END()
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