// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include #include "ParserFlatbuffersSerializeFixture.hpp" #include "../Deserializer.hpp" #include #include 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()