| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ParserFlatbuffersSerializeFixture.hpp" |
| #include <armnnDeserializer/IDeserializer.hpp> |
| |
| #include <armnn/utility/IgnoreUnused.hpp> |
| |
| #include <doctest/doctest.h> |
| |
| #include <string> |
| |
| TEST_SUITE("Deserializer_Add") |
| { |
| struct AddFixture : public ParserFlatbuffersSerializeFixture |
| { |
| explicit AddFixture(const std::string & inputShape1, |
| const std::string & inputShape2, |
| const std::string & outputShape, |
| const std::string & dataType, |
| const std::string & activation="NONE") |
| { |
| armnn::IgnoreUnused(activation); |
| 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: "AdditionLayer", |
| layer : { |
| base: { |
| index:2, |
| layerName: "AdditionLayer", |
| layerType: "Addition", |
| 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 SimpleAddFixture : AddFixture |
| { |
| SimpleAddFixture() : AddFixture("[ 2, 2 ]", |
| "[ 2, 2 ]", |
| "[ 2, 2 ]", |
| "QuantisedAsymm8") {} |
| }; |
| |
| struct SimpleAddFixture2 : AddFixture |
| { |
| SimpleAddFixture2() : AddFixture("[ 2, 2, 1, 1 ]", |
| "[ 2, 2, 1, 1 ]", |
| "[ 2, 2, 1, 1 ]", |
| "Float32") {} |
| }; |
| |
| TEST_CASE_FIXTURE(SimpleAddFixture, "AddQuantisedAsymm8") |
| { |
| RunTest<2, armnn::DataType::QAsymmU8>( |
| 0, |
| {{"InputLayer1", { 0, 1, 2, 3 }}, |
| {"InputLayer2", { 4, 5, 6, 7 }}}, |
| {{"OutputLayer", { 4, 6, 8, 10 }}}); |
| } |
| |
| TEST_CASE_FIXTURE(SimpleAddFixture2, "AddFloat32") |
| { |
| RunTest<4, armnn::DataType::Float32>( |
| 0, |
| {{"InputLayer1", { 111, 85, 226, 3 }}, |
| {"InputLayer2", { 5, 8, 10, 12 }}}, |
| {{"OutputLayer", { 116, 93, 236, 15 }}}); |
| } |
| |
| } |