// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include #include "ParserFlatbuffersSerializeFixture.hpp" #include "../Deserializer.hpp" #include BOOST_AUTO_TEST_SUITE(Deserializer) struct BatchToSpaceNdFixture : public ParserFlatbuffersSerializeFixture { explicit BatchToSpaceNdFixture(const std::string &inputShape, const std::string &blockShape, const std::string &crops, const std::string &dataLayout, const std::string &outputShape, 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: "BatchToSpaceNdLayer", layer: { base: { index: 1, layerName: "BatchToSpaceNdLayer", layerType: "BatchToSpaceNd", inputSlots: [{ index: 0, connection: {sourceLayerIndex:0, outputSlotIndex:0 }, }], outputSlots: [{ index: 0, tensorInfo: { dimensions: )" + outputShape + R"(, dataType: )" + dataType + R"( } }] }, descriptor: { blockShape: )" + blockShape + R"(, crops: )" + crops + 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 SimpleBatchToSpaceNdFixture : BatchToSpaceNdFixture { SimpleBatchToSpaceNdFixture() : BatchToSpaceNdFixture("[ 4, 2, 2, 1 ]", "[ 2, 2 ]", "[ 0, 0, 0, 0 ]", "NHWC", "[ 1, 4, 4, 1 ]", "Float32") {} }; BOOST_FIXTURE_TEST_CASE(SimpleBatchToSpaceNdFloat32, SimpleBatchToSpaceNdFixture) { RunTest<4, armnn::DataType::Float32>(0, { 1.0f, 3.0f, 9.0f, 11.0f, 2.0f, 4.0f, 10.0f, 12.0f, 5.0f, 7.0f, 13.0f, 15.0f, 6.0f, 8.0f, 14.0f, 16.0f }, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f }); } BOOST_AUTO_TEST_SUITE_END()