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author | Derek Lamberti <derek.lamberti@arm.com> | 2019-02-20 13:57:42 +0000 |
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committer | Derek Lamberti <derek.lamberti@arm.com> | 2019-02-20 15:41:32 +0000 |
commit | 0028d1b0ce5f4c2c6a6eb3c66f38111c21eb47a3 (patch) | |
tree | 894d7ac05ef1610bad636e24489248e6c472b313 /src/armnnDeserializer/test/DeserializeConvolution2d.cpp | |
parent | be25fc18f7e55bc39f537601e42a9d5c9d0c111f (diff) | |
download | armnn-0028d1b0ce5f4c2c6a6eb3c66f38111c21eb47a3.tar.gz |
IVGSVSW-2736 Rename DeserializeParser => Deserializer & fix namespaces
Change-Id: I4166c0bbb5ba7f8b8884e71134c21f43d1fc27b0
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
Diffstat (limited to 'src/armnnDeserializer/test/DeserializeConvolution2d.cpp')
-rw-r--r-- | src/armnnDeserializer/test/DeserializeConvolution2d.cpp | 142 |
1 files changed, 142 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeConvolution2d.cpp b/src/armnnDeserializer/test/DeserializeConvolution2d.cpp new file mode 100644 index 0000000000..86f7cac3bb --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeConvolution2d.cpp @@ -0,0 +1,142 @@ +// +// 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 Convolution2dFixture : public ParserFlatbuffersSerializeFixture +{ + explicit Convolution2dFixture(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: 0.5, + quantizationOffset: 0 + }, + }] + }, + } + }, + }, + { + layer_type: "Convolution2dLayer", + layer : { + base: { + index:1, + layerName: "Convolution2dLayer", + layerType: "Convolution2d", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + }, + }], + }, + descriptor: { + padLeft: 1, + padRight: 1, + padTop: 1, + padBottom: 1, + strideX: 2, + strideY: 2, + biasEnabled: false, + dataLayout: NHWC + }, + weights: { + info: { + dimensions: )" + weightsShape + R"(, + dataType: )" + dataType + R"( + }, + data_type: IntData, + data: { + data: [ + 1082130432, 1084227584, 1086324736, + 0 ,0 ,0 , + 1077936128, 1073741824, 1065353216 + ], + } + } + }, + }, + { + 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 SimpleConvolution2dFixture : Convolution2dFixture +{ + SimpleConvolution2dFixture() : Convolution2dFixture("[ 1, 5, 5, 1 ]", + "[ 1, 3, 3, 1 ]", + "[ 1, 3, 3, 1 ]", + "Float32") {} +}; + +BOOST_FIXTURE_TEST_CASE(Convolution2dFloat32, SimpleConvolution2dFixture) +{ + RunTest<4, armnn::DataType::Float32>( + 0, + {{"InputLayer", {1, 5, 2, 3, 5, 8, 7, 3, 6, 3, 3, 3, 9, 1, 9, 4, 1, 8, 1, 3, 6, 8, 1, 9, 2}}}, + {{"OutputLayer", {23, 33, 24, 91, 99, 48, 26, 50, 19}}}); +} + +BOOST_AUTO_TEST_SUITE_END() |