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Diffstat (limited to 'src/armnnDeserializer/test/DeserializeEqual.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeEqual.cpp | 148 |
1 files changed, 148 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeEqual.cpp b/src/armnnDeserializer/test/DeserializeEqual.cpp new file mode 100644 index 0000000000..7d8213cd95 --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeEqual.cpp @@ -0,0 +1,148 @@ +// +// 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 EqualFixture : public ParserFlatbuffersSerializeFixture +{ + explicit EqualFixture(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: "EqualLayer", + layer: { + base: { + index:2, + layerName: "EqualLayer", + layerType: "Equal", + 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: Boolean + }, + }], + } + } + }, + } + ] + } + )"; + Setup(); + } +}; + +struct SimpleEqualFixture : EqualFixture +{ + SimpleEqualFixture() : EqualFixture("[ 2, 2, 2, 1 ]", + "[ 2, 2, 2, 1 ]", + "[ 2, 2, 2, 1 ]", + "QuantisedAsymm8") {} +}; + +BOOST_FIXTURE_TEST_CASE(EqualQuantisedAsymm8, SimpleEqualFixture) +{ + RunTest<4, armnn::DataType::QuantisedAsymm8, armnn::DataType::Boolean>( + 0, + {{"InputLayer1", { 0, 1, 2, 3, 4, 5, 6, 7 }}, + {"InputLayer2", { 0, 0, 0, 3, 0, 0, 6, 7 }}}, + {{"OutputLayer", { 1, 0, 0, 1, 0, 0, 1, 1 }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |