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Diffstat (limited to 'src/armnnDeserializer/test/DeserializeReduceSum.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeReduceSum.cpp | 126 |
1 files changed, 126 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeReduceSum.cpp b/src/armnnDeserializer/test/DeserializeReduceSum.cpp new file mode 100644 index 0000000000..d88613e593 --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeReduceSum.cpp @@ -0,0 +1,126 @@ +// +// Copyright © 2020 Samsung Electronics Co Ltd and Contributors. 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 ReduceSumFixture : public ParserFlatbuffersSerializeFixture +{ + explicit ReduceSumFixture(const std::string& inputShape, + const std::string& outputShape, + const std::string& axis, + 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: "ReduceLayer", + layer: { + base: { + index: 1, + layerName: "ReduceSumLayer", + layerType: "Reduce", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + } + }] + }, + descriptor: { + axis: )" + axis + R"(, + keepDims: true, + reduceOperation: Sum + } + } + }, + { + layer_type: "OutputLayer", + layer: { + base:{ + layerBindingId: 2, + 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 SimpleReduceSumFixture : ReduceSumFixture +{ + SimpleReduceSumFixture() + : ReduceSumFixture("[ 1, 1, 3, 2 ]", // inputShape + "[ 1, 1, 1, 2 ]", // outputShape + "[ 2 ]", // axis + "Float32") // dataType + {} +}; + +BOOST_FIXTURE_TEST_CASE(SimpleReduceSum, SimpleReduceSumFixture) +{ + RunTest<4, armnn::DataType::Float32>( + 0, + {{"InputLayer", { 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }}}, + {{"OutputLayer", { 6.0f, 6.0f }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |