| // |
| // 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 SubtractionFixture : public ParserFlatbuffersSerializeFixture |
| { |
| explicit SubtractionFixture(const std::string & inputShape1, |
| const std::string & inputShape2, |
| const std::string & outputShape, |
| const std::string & dataType) |
| { |
| m_JsonString = R"( |
| { |
| inputIds: [0, 1], |
| outputIds: [3], |
| layers: [ |
| { |
| layer_type: "InputLayer", |
| layer: { |
| base: { |
| layerBindingId: 0, |
| base: { |
| index: 0, |
| layerName: "inputLayer1", |
| layerType: "Input", |
| inputSlots: [{ |
| index: 0, |
| connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| }], |
| outputSlots: [ { |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + inputShape1 + R"(, |
| dataType: )" + dataType + R"( |
| }, |
| }], |
| }, |
| }}, |
| }, |
| { |
| layer_type: "InputLayer", |
| layer: { |
| base: { |
| layerBindingId: 1, |
| base: { |
| index:1, |
| layerName: "inputLayer2", |
| layerType: "Input", |
| inputSlots: [{ |
| index: 0, |
| connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| }], |
| outputSlots: [ { |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + inputShape2 + R"(, |
| dataType: )" + dataType + R"( |
| }, |
| }], |
| }, |
| }}, |
| }, |
| { |
| layer_type: "SubtractionLayer", |
| layer : { |
| base: { |
| index:2, |
| layerName: "subtractionLayer", |
| layerType: "Subtraction", |
| inputSlots: [{ |
| index: 0, |
| connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| }, |
| { |
| index: 1, |
| connection: {sourceLayerIndex:1, outputSlotIndex:0 }, |
| }], |
| outputSlots: [ { |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + outputShape + R"(, |
| dataType: )" + dataType + R"( |
| }, |
| }], |
| }}, |
| }, |
| { |
| layer_type: "OutputLayer", |
| layer: { |
| base:{ |
| layerBindingId: 0, |
| base: { |
| index: 3, |
| layerName: "outputLayer", |
| layerType: "Output", |
| inputSlots: [{ |
| index: 0, |
| connection: {sourceLayerIndex:2, outputSlotIndex:0 }, |
| }], |
| outputSlots: [ { |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + outputShape + R"(, |
| dataType: )" + dataType + R"( |
| }, |
| }], |
| }}}, |
| }] |
| } |
| )"; |
| Setup(); |
| } |
| }; |
| |
| struct SimpleSubtractionFixture : SubtractionFixture |
| { |
| SimpleSubtractionFixture() : SubtractionFixture("[ 1, 4 ]", |
| "[ 1, 4 ]", |
| "[ 1, 4 ]", |
| "QuantisedAsymm8") {} |
| }; |
| |
| struct SimpleSubtractionFixture2 : SubtractionFixture |
| { |
| SimpleSubtractionFixture2() : SubtractionFixture("[ 1, 4 ]", |
| "[ 1, 4 ]", |
| "[ 1, 4 ]", |
| "Float32") {} |
| }; |
| |
| struct SimpleSubtractionFixtureBroadcast : SubtractionFixture |
| { |
| SimpleSubtractionFixtureBroadcast() : SubtractionFixture("[ 1, 4 ]", |
| "[ 1, 1 ]", |
| "[ 1, 4 ]", |
| "Float32") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(SubtractionQuantisedAsymm8, SimpleSubtractionFixture) |
| { |
| RunTest<2, armnn::DataType::QAsymmU8>( |
| 0, |
| {{"inputLayer1", { 4, 5, 6, 7 }}, |
| {"inputLayer2", { 3, 2, 1, 0 }}}, |
| {{"outputLayer", { 1, 3, 5, 7 }}}); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(SubtractionFloat32, SimpleSubtractionFixture2) |
| { |
| RunTest<2, armnn::DataType::Float32>( |
| 0, |
| {{"inputLayer1", { 4, 5, 6, 7 }}, |
| {"inputLayer2", { 3, 2, 1, 0 }}}, |
| {{"outputLayer", { 1, 3, 5, 7 }}}); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(SubtractionBroadcast, SimpleSubtractionFixtureBroadcast) |
| { |
| RunTest<2, armnn::DataType::Float32>( |
| 0, |
| {{"inputLayer1", { 4, 5, 6, 7 }}, |
| {"inputLayer2", { 2 }}}, |
| {{"outputLayer", { 2, 3, 4, 5 }}}); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |