| // |
| // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ParserFlatbuffersSerializeFixture.hpp" |
| #include <armnnDeserializer/IDeserializer.hpp> |
| |
| #include <string> |
| |
| TEST_SUITE("ElementWiseBinary_Deserializer") |
| { |
| struct ElementwiseBinaryFixture : public ParserFlatbuffersSerializeFixture { |
| explicit ElementwiseBinaryFixture(const std::string & inputShape1, |
| const std::string & inputShape2, |
| const std::string & outputShape, |
| const std::string & dataType, |
| const std::string &binaryOperation) { |
| 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: "ElementwiseBinaryLayer", |
| layer: { |
| base: { |
| index: 2, |
| layerName: "ElementwiseBinaryLayer", |
| layerType: "ElementwiseBinary", |
| 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"( |
| } |
| }] |
| }, |
| descriptor: { |
| operation: )" + binaryOperation + 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 SimplePowerFixture : ElementwiseBinaryFixture |
| { |
| SimplePowerFixture() : ElementwiseBinaryFixture("[ 2, 2 ]", |
| "[ 2, 2 ]", |
| "[ 2, 2 ]", |
| "QuantisedAsymm8", |
| "Power") {} |
| }; |
| |
| TEST_CASE_FIXTURE(SimplePowerFixture, "PowerQuantisedAsymm8") |
| { |
| RunTest<2, armnn::DataType::QAsymmU8>( |
| 0, |
| {{"InputLayer1", { 0, 1, 2, 3 }}, |
| {"InputLayer2", { 4, 5, 3, 2 }}}, |
| {{"OutputLayer", { 0, 1, 8, 9 }}}); |
| } |
| |
| struct SimpleSquaredDifferenceFixture : ElementwiseBinaryFixture |
| { |
| SimpleSquaredDifferenceFixture() : ElementwiseBinaryFixture("[ 2, 2 ]", |
| "[ 2, 2 ]", |
| "[ 2, 2 ]", |
| "QuantisedAsymm8", |
| "SqDiff") {} |
| }; |
| |
| TEST_CASE_FIXTURE(SimpleSquaredDifferenceFixture, "SquaredDifferenceQuantisedAsymm8") |
| { |
| RunTest<2, armnn::DataType::QAsymmU8>( |
| 0, |
| {{"InputLayer1", { 5, 1, 7, 9 }}, |
| {"InputLayer2", { 4, 5, 2, 1 }}}, |
| {{"OutputLayer", { 1, 16, 25, 64 }}}); |
| } |
| |
| } |