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Diffstat (limited to 'src/armnnDeserializer/test/DeserializeFullyConnected.cpp')
-rw-r--r-- | src/armnnDeserializer/test/DeserializeFullyConnected.cpp | 140 |
1 files changed, 140 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeFullyConnected.cpp b/src/armnnDeserializer/test/DeserializeFullyConnected.cpp new file mode 100644 index 0000000000..77d0acc782 --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeFullyConnected.cpp @@ -0,0 +1,140 @@ +// +// 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(DeserializeParser) + +struct FullyConnectedFixture : public ParserFlatbuffersSerializeFixture +{ + explicit FullyConnectedFixture(const std::string & inputShape1, + const std::string & outputShape, + const std::string & weightsShape, + 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: )" + inputShape1 + R"(, + dataType: )" + dataType + R"(, + quantizationScale: 1.0, + quantizationOffset: 0 + }, + }] + }, + } + }, + }, + { + layer_type: "FullyConnectedLayer", + layer : { + base: { + index:1, + layerName: "FullyConnectedLayer", + layerType: "FullyConnected", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"(, + quantizationScale: 2.0, + quantizationOffset: 0 + }, + }], + }, + descriptor: { + biasEnabled: false, + transposeWeightsMatrix: true + }, + weights: { + info: { + dimensions: )" + weightsShape + R"(, + dataType: )" + dataType + R"(, + quantizationScale: 1.0, + quantizationOffset: 0 + }, + data_type: ByteData, + data: { + data: [ + 2, 3, 4, 5 + ], + } + } + }, + }, + { + layer_type: "OutputLayer", + layer: { + base:{ + layerBindingId: 0, + base: { + index: 2, + layerName: "OutputLayer", + layerType: "Output", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:1, outputSlotIndex:0 }, + }], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + }, + }], + } + }}, + }] + } + )"; + Setup(); + } +}; + +struct FullyConnectedWithNoBiasFixture : FullyConnectedFixture +{ + FullyConnectedWithNoBiasFixture() + : FullyConnectedFixture("[ 1, 4, 1, 1 ]", // inputShape + "[ 1, 1 ]", // outputShape + "[ 1, 4 ]", // filterShape + "QuantisedAsymm8") // filterData + {} +}; + +BOOST_FIXTURE_TEST_CASE(FullyConnectedWithNoBias, FullyConnectedWithNoBiasFixture) +{ + RunTest<2, armnn::DataType::QuantisedAsymm8>( + 0, + {{"InputLayer", { 10, 20, 30, 40 }}}, + {{"OutputLayer", { 400/2 }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |