| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <CommonTestUtils.hpp> |
| |
| #include <armnn/INetwork.hpp> |
| #include <ResolveType.hpp> |
| |
| #include <doctest/doctest.h> |
| |
| namespace{ |
| |
| armnn::INetworkPtr CreateGatherNdNetwork(const armnn::TensorInfo& paramsInfo, |
| const armnn::TensorInfo& indicesInfo, |
| const armnn::TensorInfo& outputInfo, |
| const std::vector<int32_t>& indicesData) |
| { |
| armnn::INetworkPtr net(armnn::INetwork::Create()); |
| |
| armnn::IConnectableLayer* paramsLayer = net->AddInputLayer(0); |
| armnn::IConnectableLayer* indicesLayer = net->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
| armnn::IConnectableLayer* gatherNdLayer = net->AddGatherNdLayer("gatherNd"); |
| armnn::IConnectableLayer* outputLayer = net->AddOutputLayer(0, "output"); |
| Connect(paramsLayer, gatherNdLayer, paramsInfo, 0, 0); |
| Connect(indicesLayer, gatherNdLayer, indicesInfo, 0, 1); |
| Connect(gatherNdLayer, outputLayer, outputInfo, 0, 0); |
| |
| return net; |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| void GatherNdEndToEnd(const std::vector<BackendId>& backends) |
| { |
| armnn::TensorInfo paramsInfo({ 2, 3, 8, 4 }, ArmnnType); |
| armnn::TensorInfo indicesInfo({ 2, 2 }, armnn::DataType::Signed32); |
| armnn::TensorInfo outputInfo({ 2, 8, 4 }, ArmnnType); |
| |
| paramsInfo.SetQuantizationScale(1.0f); |
| paramsInfo.SetQuantizationOffset(0); |
| paramsInfo.SetConstant(true); |
| indicesInfo.SetConstant(true); |
| outputInfo.SetQuantizationScale(1.0f); |
| outputInfo.SetQuantizationOffset(0); |
| |
| // Creates structures for input & output. |
| std::vector<T> paramsData{ |
| 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, |
| 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, |
| |
| 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, |
| 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, |
| |
| 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, |
| 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, |
| |
| 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, |
| 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, |
| |
| 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, |
| 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, |
| |
| 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, |
| 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191 |
| }; |
| |
| std::vector<int32_t> indicesData{ |
| { 1, 2, 1, 1}, |
| }; |
| |
| std::vector<T> expectedOutput{ |
| 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, |
| 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, |
| |
| 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, |
| 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159 |
| }; |
| |
| // Builds up the structure of the network |
| armnn::INetworkPtr net = CreateGatherNdNetwork(paramsInfo, indicesInfo, outputInfo, indicesData); |
| |
| CHECK(net); |
| |
| std::map<int, std::vector<T>> inputTensorData = {{ 0, paramsData }}; |
| std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput }}; |
| |
| EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| void GatherNdMultiDimEndToEnd(const std::vector<BackendId>& backends) |
| { |
| armnn::TensorInfo paramsInfo({ 5, 5, 2 }, ArmnnType); |
| armnn::TensorInfo indicesInfo({ 2, 2, 3, 2 }, armnn::DataType::Signed32); |
| armnn::TensorInfo outputInfo({ 2, 2, 3, 2 }, ArmnnType); |
| |
| paramsInfo.SetQuantizationScale(1.0f); |
| paramsInfo.SetQuantizationOffset(0); |
| paramsInfo.SetConstant(true); |
| indicesInfo.SetConstant(true); |
| outputInfo.SetQuantizationScale(1.0f); |
| outputInfo.SetQuantizationOffset(0); |
| |
| // Creates structures for input & output. |
| std::vector<T> paramsData{ |
| 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, |
| 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, |
| 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, |
| 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, |
| 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 |
| }; |
| |
| std::vector<int32_t> indicesData{ |
| 0, 0, |
| 3, 3, |
| 4, 4, |
| |
| 0, 0, |
| 1, 1, |
| 2, 2, |
| |
| 4, 4, |
| 3, 3, |
| 0, 0, |
| |
| 2, 2, |
| 1, 1, |
| 0, 0 |
| }; |
| |
| std::vector<T> expectedOutput{ |
| 0, 1, |
| 36, 37, |
| 48, 49, |
| |
| 0, 1, |
| 12, 13, |
| 24, 25, |
| |
| 48, 49, |
| 36, 37, |
| 0, 1, |
| |
| 24, 25, |
| 12, 13, |
| 0, 1 |
| }; |
| |
| // Builds up the structure of the network |
| armnn::INetworkPtr net = CreateGatherNdNetwork(paramsInfo, indicesInfo, outputInfo, indicesData); |
| |
| std::map<int, std::vector<T>> inputTensorData = {{ 0, paramsData }}; |
| std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput }}; |
| |
| EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends); |
| } |
| |
| } // anonymous namespace |