// // 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 ResizeBilinearFixture : public ParserFlatbuffersSerializeFixture { explicit ResizeBilinearFixture(const std::string& inputShape, const std::string& targetWidth, const std::string& targetHeight, 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: "ResizeBilinearLayer", layer: { base: { index: 1, layerName: "ResizeBilinearLayer", layerType: "ResizeBilinear", inputSlots: [{ index: 0, connection: {sourceLayerIndex:0, outputSlotIndex:0 }, }], outputSlots: [{ index: 0, tensorInfo: { dimensions: )" + outputShape + R"(, dataType: )" + dataType + R"( } }] }, descriptor: { targetWidth: )" + targetWidth + R"(, targetHeight: )" + targetHeight + 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 SimpleResizeBilinearFixture : ResizeBilinearFixture { SimpleResizeBilinearFixture() : ResizeBilinearFixture("[1, 2, 2, 2]", "1", "1", "NCHW", "[1, 2, 1, 1]", "Float32") {} }; BOOST_FIXTURE_TEST_CASE(SimpleResizeBilinearFloat32, SimpleResizeBilinearFixture) { RunTest<4, armnn::DataType::Float32>(0, { 1.0f, 255.0f, 200.0f, 250.0f, 250.0f, 200.0f, 250.0f, 1.0f }, { 1.0f, 250.0f }); } BOOST_AUTO_TEST_SUITE_END()