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Diffstat (limited to 'src/armnnDeserializer/test/DeserializeGather.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeGather.cpp | 157 |
1 files changed, 157 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeGather.cpp b/src/armnnDeserializer/test/DeserializeGather.cpp new file mode 100644 index 0000000000..3fdcf51aed --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeGather.cpp @@ -0,0 +1,157 @@ +// +// 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 GatherFixture : public ParserFlatbuffersSerializeFixture +{ + explicit GatherFixture(const std::string &inputShape, + const std::string &indicesShape, + const std::string &input1Content, + const std::string &outputShape, + const std::string dataType, + const std::string constDataType) + { + m_JsonString = R"( + { + inputIds: [0], + outputIds: [3], + 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: "ConstantLayer", + layer: { + base: { + index:1, + layerName: "ConstantLayer", + layerType: "Constant", + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + indicesShape + R"(, + dataType: "Signed32", + }, + }], + }, + input: { + info: { + dimensions: )" + indicesShape + R"(, + dataType: )" + dataType + R"( + }, + data_type: )" + constDataType + R"(, + data: { + data: )" + input1Content + R"(, + } } + },}, + { + layer_type: "GatherLayer", + layer: { + base: { + index: 2, + layerName: "GatherLayer", + layerType: "Gather", + 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 SimpleGatherFixtureFloat32 : GatherFixture +{ + SimpleGatherFixtureFloat32() : GatherFixture("[ 3, 2, 3 ]", "[ 2, 3 ]", "[1, 2, 1, 2, 1, 0]", + "[ 2, 3, 2, 3 ]", "Float32", "IntData") {} +}; + +BOOST_FIXTURE_TEST_CASE(GatherFloat32, SimpleGatherFixtureFloat32) +{ + RunTest<4, armnn::DataType::Float32>(0, + {{"InputLayer", { 1, 2, 3, + 4, 5, 6, + 7, 8, 9, + 10, 11, 12, + 13, 14, 15, + 16, 17, 18 }}}, + {{"OutputLayer", { 7, 8, 9, + 10, 11, 12, + 13, 14, 15, + 16, 17, 18, + 7, 8, 9, + 10, 11, 12, + 13, 14, 15, + 16, 17, 18, + 7, 8, 9, + 10, 11, 12, + 1, 2, 3, + 4, 5, 6 }}}); +} + +BOOST_AUTO_TEST_SUITE_END() + |