diff options
Diffstat (limited to 'src/armnnDeserializer/test/DeserializeGatherNd.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeGatherNd.cpp | 146 |
1 files changed, 146 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeGatherNd.cpp b/src/armnnDeserializer/test/DeserializeGatherNd.cpp new file mode 100644 index 0000000000..684a42ca07 --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeGatherNd.cpp @@ -0,0 +1,146 @@ +// +// 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"( + }, + }], + }}}, + }] + } )"; + + 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}}}); +} + +} + |