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| author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-09-24 11:01:51 +0100 |
|---|---|---|
| committer | Kevin May <kevin.may@arm.com> | 2019-09-24 14:30:38 +0000 |
| commit | 11b2eca4ab0c0e897b858f61be7e6b90f810fd2b (patch) | |
| tree | 55f905a0d632e27ed2d9cdc97df5a1f8fbad4924 /src/armnnDeserializer | |
| parent | 73f66421c6719c007325b69d51ca73dd58eb8c33 (diff) | |
| download | armnn-11b2eca4ab0c0e897b858f61be7e6b90f810fd2b.tar.gz | |
IVGCVSW-3900 Add deserialization test for DepthToSpace
* Fixed bug in DepthToSpaceLayer::InferOutputShapes by removing
leftover throw UnimplementedException
* Added Deserializer/DepthToSpaceFloat32 deserialization test
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I8fc31d0270b4de1dac45ee12c2b798df81f312a7
Diffstat (limited to 'src/armnnDeserializer')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeDepthToSpace.cpp | 136 |
1 files changed, 136 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeDepthToSpace.cpp b/src/armnnDeserializer/test/DeserializeDepthToSpace.cpp new file mode 100644 index 0000000000..8f74de7f5b --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeDepthToSpace.cpp @@ -0,0 +1,136 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ParserFlatbuffersSerializeFixture.hpp" + +#include "../Deserializer.hpp" + +#include <boost/test/unit_test.hpp> + +#include <string> + +BOOST_AUTO_TEST_SUITE(Deserializer) + +struct DepthToSpaceFixture : public ParserFlatbuffersSerializeFixture +{ + explicit DepthToSpaceFixture(const std::string& inputShape, + const std::string& outputShape, + const std::string& blockSize, + const std::string& dataLayout, + 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: "DepthToSpaceLayer", + layer: { + base: { + index: 1, + layerName: "DepthToSpaceLayer", + layerType: "DepthToSpace", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + } + }] + }, + descriptor: { + blockSize: )" + blockSize + R"(, + dataLayout: )" + dataLayout + R"(, + } + } + }, + { + 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"( + }, + }], + } + } + }, + } + ] + } + )"; + SetupSingleInputSingleOutput("InputLayer", "OutputLayer"); + } +}; + +struct DepthToSpaceFloat32Fixture : DepthToSpaceFixture +{ + DepthToSpaceFloat32Fixture() : DepthToSpaceFixture("[ 1, 2, 2, 4 ]", // input shape + "[ 1, 4, 4, 1 ]", // output shape + "2", // block size + "NHWC", // data layout + "Float32") {} // data type +}; + +BOOST_FIXTURE_TEST_CASE(DepthToSpaceFloat32, DepthToSpaceFloat32Fixture) +{ + RunTest<4, armnn::DataType::Float32>( + 0, + { + 1.f, 2.f, 3.f, 4.f, + 5.f, 6.f, 7.f, 8.f, + 9.f, 10.f, 11.f, 12.f, + 13.f, 14.f, 15.f, 16.f + }, + { + 1.f, 2.f, 5.f, 6.f, + 3.f, 4.f, 7.f, 8.f, + 9.f, 10.f, 13.f, 14.f, + 11.f, 12.f, 15.f, 16.f + }); +} + +BOOST_AUTO_TEST_SUITE_END() |