| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ParserFlatbuffersSerializeFixture.hpp" |
| #include <armnnDeserializer/IDeserializer.hpp> |
| |
| #include <string> |
| |
| TEST_SUITE("Deserializer_GatherNd") |
| { |
| struct GatherNdFixture : public ParserFlatbuffersSerializeFixture |
| { |
| explicit GatherNdFixture(const std::string& paramsShape, |
| const std::string& indicesShape, |
| const std::string& outputShape, |
| const std::string& indicesData, |
| const std::string dataType, |
| const std::string constDataType) |
| { |
| m_JsonString = R"( |
| { |
| inputIds: [0], |
| outputIds: [3], |
| 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: )" + paramsShape + R"(, |
| dataType: )" + dataType + R"( |
| }}] |
| } |
| }}}, |
| { |
| layer_type: "ConstantLayer", |
| layer: { |
| base: { |
| index:1, |
| layerName: "ConstantLayer", |
| layerType: "Constant", |
| outputSlots: [ { |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + indicesShape + R"(, |
| dataType: "Signed32", |
| }, |
| }], |
| }, |
| input: { |
| info: { |
| dimensions: )" + indicesShape + R"(, |
| dataType: )" + dataType + R"( |
| }, |
| data_type: )" + constDataType + R"(, |
| data: { |
| data: )" + indicesData + R"(, |
| } } |
| },}, |
| { |
| layer_type: "GatherNdLayer", |
| layer: { |
| base: { |
| index: 2, |
| layerName: "GatherNdLayer", |
| layerType: "GatherNd", |
| 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"( |
| }, |
| }], |
| }}}, |
| }], |
| featureVersions: { |
| weightsLayoutScheme: 1, |
| } |
| } )"; |
| |
| Setup(); |
| } |
| }; |
| |
| struct SimpleGatherNdFixtureFloat32 : GatherNdFixture |
| { |
| SimpleGatherNdFixtureFloat32() : GatherNdFixture("[ 6, 3 ]", "[ 3, 1 ]", "[ 3, 3 ]", |
| "[ 5, 1, 0 ]", "Float32", "IntData") {} |
| }; |
| |
| TEST_CASE_FIXTURE(SimpleGatherNdFixtureFloat32, "GatherNdFloat32") |
| { |
| RunTest<4, armnn::DataType::Float32>(0, |
| {{"InputLayer", { 1, 2, 3, |
| 4, 5, 6, |
| 7, 8, 9, |
| 10, 11, 12, |
| 13, 14, 15, |
| 16, 17, 18 }}}, |
| {{"OutputLayer", { 16, 17, 18, |
| 4, 5, 6, |
| 1, 2, 3}}}); |
| } |
| |
| } |
| |