diff options
Diffstat (limited to 'src')
37 files changed, 84 insertions, 319 deletions
diff --git a/src/armnn/LayersFwd.hpp b/src/armnn/LayersFwd.hpp index 44b1699e36..f634272316 100644 --- a/src/armnn/LayersFwd.hpp +++ b/src/armnn/LayersFwd.hpp @@ -108,9 +108,7 @@ constexpr LayerType LayerEnumOf(const T* = nullptr); #define DECLARE_LAYER(LayerName) DECLARE_LAYER_IMPL(, LayerName) DECLARE_LAYER(Activation) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER(Addition) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER(ArgMinMax) DECLARE_LAYER(BatchMatMul) DECLARE_LAYER(BatchNormalization) @@ -129,9 +127,7 @@ DECLARE_LAYER(DepthToSpace) DECLARE_LAYER(DepthwiseConvolution2d) DECLARE_LAYER(Dequantize) DECLARE_LAYER(DetectionPostProcess) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER(Division) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER(ElementwiseBinary) DECLARE_LAYER(ElementwiseUnary) DECLARE_LAYER(FakeQuantization) @@ -147,17 +143,13 @@ DECLARE_LAYER(LogicalBinary) DECLARE_LAYER(LogSoftmax) DECLARE_LAYER(Lstm) DECLARE_LAYER(Map) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER(Maximum) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER(Mean) DECLARE_LAYER(MemCopy) DECLARE_LAYER(MemImport) DECLARE_LAYER(Merge) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER(Minimum) DECLARE_LAYER(Multiplication) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER(Normalization) DECLARE_LAYER(Output) DECLARE_LAYER(Pad) @@ -182,9 +174,7 @@ DECLARE_LAYER(Splitter) DECLARE_LAYER(Stack) DECLARE_LAYER(StandIn) DECLARE_LAYER(StridedSlice) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER(Subtraction) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER(Switch) DECLARE_LAYER(Transpose) DECLARE_LAYER(TransposeConvolution2d) diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp index 837b42e172..9ebb67b593 100644 --- a/src/armnn/Network.cpp +++ b/src/armnn/Network.cpp @@ -213,16 +213,12 @@ IConnectableLayer* INetwork::AddMergeLayer(const char* name) IConnectableLayer* INetwork::AddAdditionLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return pNetworkImpl->AddAdditionLayer(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* INetwork::AddMultiplicationLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return pNetworkImpl->AddMultiplicationLayer(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* INetwork::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, @@ -312,23 +308,17 @@ IConnectableLayer* INetwork::AddLstmLayer(const LstmDescriptor& descriptor, IConnectableLayer* INetwork::AddDivisionLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return pNetworkImpl->AddDivisionLayer(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* INetwork::AddSubtractionLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return pNetworkImpl->AddSubtractionLayer(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* INetwork::AddMaximumLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return pNetworkImpl->AddMaximumLayer(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* INetwork::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) @@ -355,9 +345,7 @@ IConnectableLayer* INetwork::AddStridedSliceLayer(const StridedSliceDescriptor& IConnectableLayer* INetwork::AddMinimumLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return pNetworkImpl->AddMinimumLayer(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* INetwork::AddGatherLayer(const GatherDescriptor& descriptor, @@ -1996,30 +1984,22 @@ IConnectableLayer* NetworkImpl::AddSplitterLayer(const ViewsDescriptor& splitter IConnectableLayer* NetworkImpl::AddMaximumLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return m_Graph->AddLayer<MaximumLayer>(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* NetworkImpl::AddMinimumLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return m_Graph->AddLayer<MinimumLayer>(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* NetworkImpl::AddAdditionLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return m_Graph->AddLayer<AdditionLayer>(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* NetworkImpl::AddMultiplicationLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return m_Graph->AddLayer<MultiplicationLayer>(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* NetworkImpl::AddOutputLayer(LayerBindingId id, const char* name) @@ -2258,16 +2238,12 @@ IConnectableLayer* NetworkImpl::AddLstmLayer(const LstmDescriptor& descriptor, IConnectableLayer* NetworkImpl::AddDivisionLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return m_Graph->AddLayer<DivisionLayer>(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* NetworkImpl::AddSubtractionLayer(const char* name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN return m_Graph->AddLayer<SubtractionLayer>(name); - ARMNN_NO_DEPRECATE_WARN_END } IConnectableLayer* NetworkImpl::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) diff --git a/src/armnn/Network.hpp b/src/armnn/Network.hpp index c6bf0859f7..03642ce993 100644 --- a/src/armnn/Network.hpp +++ b/src/armnn/Network.hpp @@ -43,7 +43,7 @@ public: IConnectableLayer* AddActivationLayer(const ActivationDescriptor& activationDescriptor, const char* name = nullptr); - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use AddElementwiseBinaryLayer instead", "24.02") + IConnectableLayer* AddAdditionLayer(const char* name = nullptr); IConnectableLayer* AddArgMinMaxLayer(const ArgMinMaxDescriptor& desc, @@ -93,7 +93,6 @@ public: const ConstTensor& anchors, const char* name = nullptr); - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use AddElementwiseBinaryLayer instead", "24.02") IConnectableLayer* AddDivisionLayer(const char* name = nullptr); IConnectableLayer* AddElementwiseBinaryLayer(const ElementwiseBinaryDescriptor& elementwiseBinaryDescriptor, @@ -133,15 +132,12 @@ public: const LstmInputParams& params, const char* name = nullptr); - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use AddElementwiseBinaryLayer instead", "24.02") IConnectableLayer* AddMaximumLayer(const char* name = nullptr); IConnectableLayer* AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name = nullptr); - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use AddElementwiseBinaryLayer instead", "24.02") IConnectableLayer* AddMinimumLayer(const char* name = nullptr); - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use AddElementwiseBinaryLayer instead", "24.02") IConnectableLayer* AddMultiplicationLayer(const char* name = nullptr); IConnectableLayer* AddNormalizationLayer(const NormalizationDescriptor& normalizationDescriptor, @@ -212,7 +208,6 @@ public: IConnectableLayer* AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, const char* name = nullptr); - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use AddElementwiseBinaryLayer instead", "24.02") IConnectableLayer* AddSubtractionLayer(const char* name = nullptr); IConnectableLayer* AddSwitchLayer(const char* name = nullptr); diff --git a/src/armnn/layers/AdditionLayer.cpp b/src/armnn/layers/AdditionLayer.cpp index cae96ad422..7117c14f92 100644 --- a/src/armnn/layers/AdditionLayer.cpp +++ b/src/armnn/layers/AdditionLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -27,12 +27,10 @@ std::unique_ptr<IWorkload> AdditionLayer::CreateWorkload(const IWorkloadFactory& return factory.CreateWorkload(LayerType::Addition, descriptor, PrepInfoAndDesc(descriptor)); } -ARMNN_NO_DEPRECATE_WARN_BEGIN AdditionLayer* AdditionLayer::Clone(Graph& graph) const { return CloneBase<AdditionLayer>(graph, GetName()); } -ARMNN_NO_DEPRECATE_WARN_END void AdditionLayer::ExecuteStrategy(IStrategy &strategy) const { diff --git a/src/armnn/layers/AdditionLayer.hpp b/src/armnn/layers/AdditionLayer.hpp index cd20ff58cb..6980677cde 100644 --- a/src/armnn/layers/AdditionLayer.hpp +++ b/src/armnn/layers/AdditionLayer.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -10,8 +10,7 @@ namespace armnn { /// This layer represents an addition operation. -class ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use ElementwiseBinaryLayer instead.", "24.02") - AdditionLayer : public ElementwiseBaseLayer +class AdditionLayer : public ElementwiseBaseLayer { public: /// Makes a workload for the Addition type. diff --git a/src/armnn/layers/DivisionLayer.cpp b/src/armnn/layers/DivisionLayer.cpp index db9f93da6a..e4e2a7d8b7 100644 --- a/src/armnn/layers/DivisionLayer.cpp +++ b/src/armnn/layers/DivisionLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -27,12 +27,10 @@ std::unique_ptr<IWorkload> DivisionLayer::CreateWorkload(const IWorkloadFactory& return factory.CreateWorkload(LayerType::Division, descriptor, PrepInfoAndDesc(descriptor)); } -ARMNN_NO_DEPRECATE_WARN_BEGIN DivisionLayer* DivisionLayer::Clone(Graph& graph) const { return CloneBase<DivisionLayer>(graph, GetName()); } -ARMNN_NO_DEPRECATE_WARN_END void DivisionLayer::ExecuteStrategy(IStrategy& strategy) const { diff --git a/src/armnn/layers/DivisionLayer.hpp b/src/armnn/layers/DivisionLayer.hpp index bad96ea3ff..398a9477fd 100644 --- a/src/armnn/layers/DivisionLayer.hpp +++ b/src/armnn/layers/DivisionLayer.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -11,8 +11,7 @@ namespace armnn { /// This layer represents a division operation. -class ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use ElementwiseBinaryLayer instead.", "24.02") - DivisionLayer : public ElementwiseBaseLayer +class DivisionLayer : public ElementwiseBaseLayer { public: /// Makes a workload for the Division type. diff --git a/src/armnn/layers/ElementwiseBaseLayer.hpp b/src/armnn/layers/ElementwiseBaseLayer.hpp index 79c49b5351..17e8b446e0 100644 --- a/src/armnn/layers/ElementwiseBaseLayer.hpp +++ b/src/armnn/layers/ElementwiseBaseLayer.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -13,8 +13,7 @@ namespace armnn /// NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: /// std::unique_ptr<IWorkload> Layer::CreateWorkload(const IWorkloadFactory& factory) const = 0; /// Layer* Clone(Graph& graph) const = 0; -class ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use ElementwiseBinaryLayer instead.", "24.02") - ElementwiseBaseLayer : public Layer +class ElementwiseBaseLayer : public Layer { public: /// Check if the input tensor shape(s) diff --git a/src/armnn/layers/MaximumLayer.cpp b/src/armnn/layers/MaximumLayer.cpp index 6e180a260f..f074cf92bd 100644 --- a/src/armnn/layers/MaximumLayer.cpp +++ b/src/armnn/layers/MaximumLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -26,12 +26,10 @@ std::unique_ptr<IWorkload> MaximumLayer::CreateWorkload(const IWorkloadFactory& return factory.CreateWorkload(LayerType::Maximum, descriptor, PrepInfoAndDesc(descriptor)); } -ARMNN_NO_DEPRECATE_WARN_BEGIN MaximumLayer* MaximumLayer::Clone(Graph& graph) const { return CloneBase<MaximumLayer>(graph, GetName()); } -ARMNN_NO_DEPRECATE_WARN_END void MaximumLayer::ExecuteStrategy(IStrategy& strategy) const { diff --git a/src/armnn/layers/MaximumLayer.hpp b/src/armnn/layers/MaximumLayer.hpp index 31b773ea94..2b113a428d 100644 --- a/src/armnn/layers/MaximumLayer.hpp +++ b/src/armnn/layers/MaximumLayer.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -11,8 +11,7 @@ namespace armnn { /// This layer represents a maximum operation. -class ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use ElementwiseBinaryLayer instead.", "24.02") - MaximumLayer : public ElementwiseBaseLayer +class MaximumLayer : public ElementwiseBaseLayer { public: /// Makes a workload for the Maximum type. diff --git a/src/armnn/layers/MinimumLayer.cpp b/src/armnn/layers/MinimumLayer.cpp index 061794c0a7..f3661f9b5b 100644 --- a/src/armnn/layers/MinimumLayer.cpp +++ b/src/armnn/layers/MinimumLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -27,12 +27,10 @@ std::unique_ptr<IWorkload> MinimumLayer::CreateWorkload(const IWorkloadFactory& return factory.CreateWorkload(LayerType::Minimum, descriptor, PrepInfoAndDesc(descriptor)); } -ARMNN_NO_DEPRECATE_WARN_BEGIN MinimumLayer* MinimumLayer::Clone(Graph& graph) const { return CloneBase<MinimumLayer>(graph, GetName()); } -ARMNN_NO_DEPRECATE_WARN_END void MinimumLayer::ExecuteStrategy(IStrategy& strategy) const { diff --git a/src/armnn/layers/MinimumLayer.hpp b/src/armnn/layers/MinimumLayer.hpp index 795d317959..17ef55ef9a 100644 --- a/src/armnn/layers/MinimumLayer.hpp +++ b/src/armnn/layers/MinimumLayer.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -11,8 +11,7 @@ namespace armnn { /// This layer represents a minimum operation. -class ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use ElementwiseBinaryLayer instead.", "24.02") - MinimumLayer : public ElementwiseBaseLayer +class MinimumLayer : public ElementwiseBaseLayer { public: /// Makes a workload for the Minimum type. diff --git a/src/armnn/layers/MultiplicationLayer.cpp b/src/armnn/layers/MultiplicationLayer.cpp index cc669471ab..bcc77dcc51 100644 --- a/src/armnn/layers/MultiplicationLayer.cpp +++ b/src/armnn/layers/MultiplicationLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -27,12 +27,10 @@ std::unique_ptr<IWorkload> MultiplicationLayer::CreateWorkload(const IWorkloadFa return factory.CreateWorkload(LayerType::Multiplication, descriptor, PrepInfoAndDesc(descriptor)); } -ARMNN_NO_DEPRECATE_WARN_BEGIN MultiplicationLayer* MultiplicationLayer::Clone(Graph& graph) const { return CloneBase<MultiplicationLayer>(graph, GetName()); } -ARMNN_NO_DEPRECATE_WARN_END void MultiplicationLayer::ExecuteStrategy(IStrategy& strategy) const { diff --git a/src/armnn/layers/MultiplicationLayer.hpp b/src/armnn/layers/MultiplicationLayer.hpp index c1ddb3a0cb..2dea82279b 100644 --- a/src/armnn/layers/MultiplicationLayer.hpp +++ b/src/armnn/layers/MultiplicationLayer.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -11,8 +11,7 @@ namespace armnn { /// This layer represents a multiplication operation. -class ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use ElementwiseBinaryLayer instead.", "24.02") - MultiplicationLayer : public ElementwiseBaseLayer +class MultiplicationLayer : public ElementwiseBaseLayer { public: /// Makes a workload for the Multiplication type. diff --git a/src/armnn/layers/SubtractionLayer.cpp b/src/armnn/layers/SubtractionLayer.cpp index 19e4d5a83e..0e92013351 100644 --- a/src/armnn/layers/SubtractionLayer.cpp +++ b/src/armnn/layers/SubtractionLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -27,12 +27,10 @@ std::unique_ptr<IWorkload> SubtractionLayer::CreateWorkload(const IWorkloadFacto return factory.CreateWorkload(LayerType::Subtraction, descriptor, PrepInfoAndDesc(descriptor)); } -ARMNN_NO_DEPRECATE_WARN_BEGIN SubtractionLayer* SubtractionLayer::Clone(Graph& graph) const { return CloneBase<SubtractionLayer>(graph, GetName()); } -ARMNN_NO_DEPRECATE_WARN_END void SubtractionLayer::ExecuteStrategy(IStrategy& strategy) const { diff --git a/src/armnn/layers/SubtractionLayer.hpp b/src/armnn/layers/SubtractionLayer.hpp index 6d2a2c5000..86d5f9ea03 100644 --- a/src/armnn/layers/SubtractionLayer.hpp +++ b/src/armnn/layers/SubtractionLayer.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -11,9 +11,7 @@ namespace armnn { /// This layer represents a subtraction operation. - -class ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use ElementwiseBinaryLayer instead.", "24.02") - SubtractionLayer : public ElementwiseBaseLayer +class SubtractionLayer : public ElementwiseBaseLayer { public: /// Makes a workload for the Subtraction type. diff --git a/src/armnn/test/OptimizerTests.cpp b/src/armnn/test/OptimizerTests.cpp index ff42ab8cbb..f83900404b 100644 --- a/src/armnn/test/OptimizerTests.cpp +++ b/src/armnn/test/OptimizerTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -339,9 +339,7 @@ TEST_CASE("InsertConvertersTest") armnn::Layer* head = graph.AddLayer<armnn::OutputLayer>(0, "output"); - ARMNN_NO_DEPRECATE_WARN_BEGIN head = graph.InsertNewLayer<armnn::AdditionLayer>(head->GetInputSlot(0), ""); - ARMNN_NO_DEPRECATE_WARN_END head->GetOutputHandler().SetTensorInfo(info); graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "") @@ -357,16 +355,14 @@ TEST_CASE("InsertConvertersTest") ->GetOutputHandler().SetTensorInfo(info); // Check graph layer sequence before inserting convert layers - ARMNN_NO_DEPRECATE_WARN_BEGIN CHECK(CheckSequence(graph.cbegin(), - graph.cend(), - &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::MemCopyLayer>, - &IsLayerOfType<armnn::FloorLayer>, - &IsLayerOfType<armnn::AdditionLayer>, - &IsLayerOfType<armnn::OutputLayer>)); - ARMNN_NO_DEPRECATE_WARN_END + graph.cend(), + &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::MemCopyLayer>, + &IsLayerOfType<armnn::FloorLayer>, + &IsLayerOfType<armnn::AdditionLayer>, + &IsLayerOfType<armnn::OutputLayer>)); // Check layers have Float16 DataType for (auto& layer : graph) @@ -409,21 +405,19 @@ TEST_CASE("InsertConvertersTest") } // Check sequence of layers after inserting convert layers - ARMNN_NO_DEPRECATE_WARN_BEGIN CHECK(CheckSequence(graph.cbegin(), - graph.cend(), - &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, - &IsLayerOfType<armnn::MemCopyLayer>, - &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, - &IsLayerOfType<armnn::FloorLayer>, - &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, - &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, - &IsLayerOfType<armnn::AdditionLayer>, - &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, - &IsLayerOfType<armnn::OutputLayer>)); - ARMNN_NO_DEPRECATE_WARN_END + graph.cend(), + &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, + &IsLayerOfType<armnn::MemCopyLayer>, + &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, + &IsLayerOfType<armnn::FloorLayer>, + &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, + &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, + &IsLayerOfType<armnn::AdditionLayer>, + &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, + &IsLayerOfType<armnn::OutputLayer>)); } void CreateConvolution2dGraph(Graph &graph, const unsigned int* inputShape, diff --git a/src/armnn/test/RuntimeTests.cpp b/src/armnn/test/RuntimeTests.cpp index 6b3fe0f211..e0d3a222fe 100644 --- a/src/armnn/test/RuntimeTests.cpp +++ b/src/armnn/test/RuntimeTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -10,6 +10,7 @@ #include <armnn/Descriptors.hpp> #include <armnn/IRuntime.hpp> #include <armnn/INetwork.hpp> +#include <armnn/TypesUtils.hpp> #include <armnn/profiling/ArmNNProfiling.hpp> @@ -18,6 +19,9 @@ #include <test/ProfilingTestUtils.hpp> +#include <HeapProfiling.hpp> +#include <LeakChecking.hpp> + #ifdef WITH_VALGRIND #include <valgrind/memcheck.h> #endif @@ -72,9 +76,7 @@ TEST_CASE("RuntimePreImportInputs") auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer"); auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer"); - ARMNN_NO_DEPRECATE_WARN_BEGIN auto addLayer = testNetwork->AddAdditionLayer("add layer"); - ARMNN_NO_DEPRECATE_WARN_END auto outputLayer = testNetwork->AddOutputLayer(2, "output layer"); TensorInfo tensorInfo{{4}, armnn::DataType::Signed32}; @@ -1304,9 +1306,7 @@ TEST_CASE("RuntimeOptimizeImportOff_LoadNetworkImportOn") auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer"); auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer"); - ARMNN_NO_DEPRECATE_WARN_BEGIN auto addLayer = testNetwork->AddAdditionLayer("add layer"); - ARMNN_NO_DEPRECATE_WARN_END auto outputLayer = testNetwork->AddOutputLayer(2, "output layer"); TensorInfo tensorInfo{{4}, armnn::DataType::Signed32}; @@ -1349,9 +1349,7 @@ TEST_CASE("RuntimeOptimizeExportOff_LoadNetworkExportOn") auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer"); auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer"); - ARMNN_NO_DEPRECATE_WARN_BEGIN auto addLayer = testNetwork->AddAdditionLayer("add layer"); - ARMNN_NO_DEPRECATE_WARN_END auto outputLayer = testNetwork->AddOutputLayer(2, "output layer"); TensorInfo tensorInfo{{4}, armnn::DataType::Signed32}; @@ -1394,9 +1392,7 @@ TEST_CASE("RuntimeOptimizeImportOn_LoadNetworkImportOff") auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer"); auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer"); - ARMNN_NO_DEPRECATE_WARN_BEGIN auto addLayer = testNetwork->AddAdditionLayer("add layer"); - ARMNN_NO_DEPRECATE_WARN_END auto outputLayer = testNetwork->AddOutputLayer(2, "output layer"); TensorInfo tensorInfo{{4}, armnn::DataType::Signed32}; @@ -1439,9 +1435,7 @@ TEST_CASE("RuntimeOptimizeExportOn_LoadNetworkExportOff") auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer"); auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer"); - ARMNN_NO_DEPRECATE_WARN_BEGIN auto addLayer = testNetwork->AddAdditionLayer("add layer"); - ARMNN_NO_DEPRECATE_WARN_END auto outputLayer = testNetwork->AddOutputLayer(2, "output layer"); TensorInfo tensorInfo{{4}, armnn::DataType::Signed32}; @@ -1489,9 +1483,7 @@ TEST_CASE("SyncExecutePreImportInputsHappyPath") auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer"); auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer"); - ARMNN_NO_DEPRECATE_WARN_BEGIN auto addLayer = testNetwork->AddAdditionLayer("add layer"); - ARMNN_NO_DEPRECATE_WARN_END auto outputLayer = testNetwork->AddOutputLayer(2, "output layer"); TensorInfo tensorInfo{ { 4 }, armnn::DataType::Signed32 }; diff --git a/src/armnn/test/ShapeInferenceTests.cpp b/src/armnn/test/ShapeInferenceTests.cpp index c33b248dc1..7b5d73a4e5 100644 --- a/src/armnn/test/ShapeInferenceTests.cpp +++ b/src/armnn/test/ShapeInferenceTests.cpp @@ -181,9 +181,7 @@ TEST_CASE("AbsTest") TEST_CASE("AdditionTest") { - ARMNN_NO_DEPRECATE_WARN_BEGIN CreateGraphAndRunTest<AdditionLayer>({{ 5, 7, 6, 2 }, { 5, 7, 6, 2 }}, {{ 5, 7, 6, 2 }}, "add"); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("ArgMinMaxTest") diff --git a/src/armnn/test/SubgraphViewTests.cpp b/src/armnn/test/SubgraphViewTests.cpp index 4fcb476fcf..e0fd5fe7c1 100644 --- a/src/armnn/test/SubgraphViewTests.cpp +++ b/src/armnn/test/SubgraphViewTests.cpp @@ -1054,7 +1054,7 @@ TEST_CASE("MultiInputSingleOutput") auto layerX2 = graph.AddLayer<InputLayer>(1, "layerX2"); auto layerM1 = graph.AddLayer<ActivationLayer>(activationDefaults, "layerM1"); auto layerM2 = graph.AddLayer<ActivationLayer>(activationDefaults, "layerM2"); - auto layerM3 = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "layerM3"); + auto layerM3 = graph.AddLayer<AdditionLayer>("layerM3"); auto layerX3 = graph.AddLayer<OutputLayer>(0, "layerX3"); // X1 X2 @@ -1081,7 +1081,7 @@ TEST_CASE("MultiInputSingleOutput") [](const Layer & l) { bool toSelect = (l.GetType() == LayerType::Activation - || l.GetType() == LayerType::ElementwiseBinary); + || l.GetType() == LayerType::Addition); return toSelect; }); @@ -1772,7 +1772,7 @@ TEST_CASE("SubgraphCycles") auto m0 = graph.AddLayer<ActivationLayer>(ActivationDescriptor{}, "m0"); auto x1 = graph.AddLayer<ActivationLayer>(ActivationDescriptor{}, "x1"); auto m1 = graph.AddLayer<ActivationLayer>(ActivationDescriptor{}, "m1"); - auto m2 = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "m2"); + auto m2 = graph.AddLayer<AdditionLayer>("m2"); auto x2 = graph.AddLayer<ActivationLayer>(ActivationDescriptor{}, "x2"); x0->GetOutputSlot(0).Connect(m0->GetInputSlot(0)); @@ -1872,7 +1872,7 @@ TEST_CASE("SubgraphViewWorkingCopy") bool ReplaceConstantMultiplicationWithDepthwise(SubgraphView& subgraph, IConnectableLayer* layer) { - if (layer->GetType() == LayerType::ElementwiseBinary) + if (layer->GetType() == LayerType::Multiplication) { IInputSlot* patternSubgraphInput = &layer->GetInputSlot(0); IInputSlot* patternSubgraphConstant = &layer->GetInputSlot(1); @@ -1937,12 +1937,12 @@ bool ReplaceConstantMultiplicationWithDepthwise(SubgraphView& subgraph, bool ReplaceTestMultiplication(SubgraphView& subgraph, IConnectableLayer* layer) { - if (layer->GetType() == LayerType::ElementwiseBinary) + if (layer->GetType() == LayerType::Multiplication) { switch (layer->GetType()) { - case LayerType::ElementwiseBinary: + case LayerType::Multiplication: return ReplaceConstantMultiplicationWithDepthwise(subgraph, layer); break; default: @@ -1993,7 +1993,7 @@ TEST_CASE("SubgraphViewWorkingCopyReplacementFunc") auto constant = graph.AddLayer<ConstantLayer>("const"); constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor); - IConnectableLayer* mul = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul, "mul"); + IConnectableLayer* mul = graph.AddLayer<MultiplicationLayer>("mul"); IConnectableLayer* output = graph.AddLayer<OutputLayer>(0, "output"); // Create connections between layers @@ -2015,10 +2015,7 @@ TEST_CASE("SubgraphViewWorkingCopyReplacementFunc") // Check the WorkingCopy is as expected before replacement CHECK(workingCopy.GetIConnectableLayers().size() == 4); int idx=0; - LayerType expectedSorted[] = {LayerType::Input, - LayerType::Constant, - LayerType::ElementwiseBinary, - LayerType::Output}; + LayerType expectedSorted[] = {LayerType::Input, LayerType::Constant, LayerType::Multiplication, LayerType::Output}; workingCopy.ForEachIConnectableLayer([&idx, &expectedSorted](const IConnectableLayer* l) { CHECK((expectedSorted[idx] == l->GetType())); @@ -2212,7 +2209,7 @@ TEST_CASE("SubgraphViewWorkingCopyOptimizationViews") auto constant = graph.AddLayer<ConstantLayer>("const"); constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor); - IConnectableLayer* mul = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul, "mul"); + IConnectableLayer* mul = graph.AddLayer<MultiplicationLayer>("mul"); IConnectableLayer* output = graph.AddLayer<OutputLayer>(0, "output"); // Create connections between layers @@ -2233,10 +2230,7 @@ TEST_CASE("SubgraphViewWorkingCopyOptimizationViews") // Check the WorkingCopy is as expected before replacement int idx=0; - LayerType expectedSorted[] = {LayerType::Input, - LayerType::Constant, - LayerType::ElementwiseBinary, - LayerType::Output}; + LayerType expectedSorted[] = {LayerType::Input, LayerType::Constant, LayerType::Multiplication, LayerType::Output}; workingCopy.ForEachIConnectableLayer([&idx, &expectedSorted](const IConnectableLayer* l) { CHECK((expectedSorted[idx] == l->GetType())); @@ -2291,7 +2285,7 @@ TEST_CASE("SubgraphViewWorkingCopyReplaceSlots") auto constant = graph.AddLayer<ConstantLayer>("const"); constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor); - IConnectableLayer* mul = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul, "mul"); + IConnectableLayer* mul = graph.AddLayer<MultiplicationLayer>("mul"); IConnectableLayer* output = graph.AddLayer<OutputLayer>(0, "output"); // Create connections between layers @@ -2312,10 +2306,7 @@ TEST_CASE("SubgraphViewWorkingCopyReplaceSlots") // Check the WorkingCopy is as expected before replacement CHECK(workingCopy.GetIConnectableLayers().size() == 4); int idx=0; - LayerType expectedSorted[] = {LayerType::Input, - LayerType::Constant, - LayerType::ElementwiseBinary, - LayerType::Output}; + LayerType expectedSorted[] = {LayerType::Input, LayerType::Constant, LayerType::Multiplication, LayerType::Output}; workingCopy.ForEachIConnectableLayer([&idx, &expectedSorted](const IConnectableLayer* l) { CHECK((expectedSorted[idx] == l->GetType())); @@ -2355,7 +2346,7 @@ TEST_CASE("SubgraphViewWorkingCopyCloneInputAndOutputSlots") auto constant = graph.AddLayer<ConstantLayer>("const"); constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor); - IConnectableLayer* mul = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul, "mul"); + IConnectableLayer* mul = graph.AddLayer<MultiplicationLayer>("mul"); armnn::ViewsDescriptor splitterDesc(2,4); IConnectableLayer* split = graph.AddLayer<SplitterLayer>(splitterDesc, "split"); IConnectableLayer* abs = graph.AddLayer<ActivationLayer>(ActivationFunction::Abs, "abs"); @@ -2420,7 +2411,7 @@ TEST_CASE("SubgraphViewWorkingCopyCloneInputAndOutputSlots") CHECK(workingCopy.GetIConnectableLayers().size() == 4); int idx=0; LayerType expectedSorted[] = {LayerType::Constant, - LayerType::ElementwiseBinary, + LayerType::Multiplication, LayerType::Splitter, LayerType::Activation}; workingCopy.ForEachIConnectableLayer([&idx, &expectedSorted](const IConnectableLayer* l) @@ -2541,7 +2532,7 @@ TEST_CASE("MultipleInputMultipleOutputSlots_SubstituteGraph") Layer* convLayer = graph.AddLayer<Convolution2dLayer>(Convolution2dDescriptor(), "conv"); Layer* reluLayer = graph.AddLayer<ActivationLayer>(ActivationDescriptor(), "activation"); Layer* constLayer = graph.AddLayer<ConstantLayer>("const"); - Layer* addLayer = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "add"); + Layer* addLayer = graph.AddLayer<AdditionLayer>("add"); Layer* outputLayer1 = graph.AddLayer<OutputLayer>(0, "output1"); Layer* outputLayer2 = graph.AddLayer<OutputLayer>(1, "output2"); @@ -2592,7 +2583,7 @@ TEST_CASE("MultipleInputMultipleOutputSlots_SubstituteGraph") // GetWorkingCopy() has caused address pointer of convolution layer to change. // Finding new address pointer... - if (layer->GetType() == LayerType::ElementwiseBinary) + if (layer->GetType() == LayerType::Addition) { addCopyLayer = layer; } @@ -2643,7 +2634,7 @@ TEST_CASE("MultipleInputMultipleOutputSlots_SubstituteGraphNewSlots") Layer* convLayer = graph.AddLayer<Convolution2dLayer>(Convolution2dDescriptor(), "conv"); Layer* reluLayer = graph.AddLayer<ActivationLayer>(ActivationDescriptor(), "activation"); Layer* constLayer = graph.AddLayer<ConstantLayer>("const"); - Layer* addLayer = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "add"); + Layer* addLayer = graph.AddLayer<AdditionLayer>("add"); Layer* outputLayer1 = graph.AddLayer<OutputLayer>(0, "output1"); Layer* outputLayer2 = graph.AddLayer<OutputLayer>(1, "output2"); @@ -2669,7 +2660,7 @@ TEST_CASE("MultipleInputMultipleOutputSlots_SubstituteGraphNewSlots") { // GetWorkingCopy() has caused address pointer of convolution layer to change. // Finding new address pointer... - if (layer->GetType() == LayerType::ElementwiseBinary) + if (layer->GetType() == LayerType::Addition) { addCopyLayer = layer; } diff --git a/src/armnn/test/TestNameOnlyLayerVisitor.cpp b/src/armnn/test/TestNameOnlyLayerVisitor.cpp index eb488a5bcb..497c36b079 100644 --- a/src/armnn/test/TestNameOnlyLayerVisitor.cpp +++ b/src/armnn/test/TestNameOnlyLayerVisitor.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017,2019-2021,2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -34,40 +34,31 @@ TEST_CASE(#testName) \ TEST_SUITE("TestNameOnlyLayerVisitor") { -ARMNN_NO_DEPRECATE_WARN_BEGIN TEST_CASE_CHECK_LAYER_VISITOR_NAME(Addition, CheckAdditionLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Addition, CheckAdditionLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_END TEST_CASE_CHECK_LAYER_VISITOR_NAME(Dequantize, CheckDequantizeLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Dequantize, CheckDequantizeLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_BEGIN TEST_CASE_CHECK_LAYER_VISITOR_NAME(Division, CheckDivisionLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Division, CheckDivisionLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_END TEST_CASE_CHECK_LAYER_VISITOR_NAME(Floor, CheckFloorLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Floor, CheckFloorLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_BEGIN TEST_CASE_CHECK_LAYER_VISITOR_NAME(Maximum, CheckMaximumLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Maximum, CheckMaximumLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_END TEST_CASE_CHECK_LAYER_VISITOR_NAME(Merge, CheckMergeLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Merge, CheckMergeLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_BEGIN TEST_CASE_CHECK_LAYER_VISITOR_NAME(Minimum, CheckMinimumLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Minimum, CheckMinimumLayerVisitorNameNullptr) TEST_CASE_CHECK_LAYER_VISITOR_NAME(Multiplication, CheckMultiplicationLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Multiplication, CheckMultiplicationLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_END TEST_CASE_CHECK_LAYER_VISITOR_NAME(Prelu, CheckPreluLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Prelu, CheckPreluLayerVisitorNameNullptr) TEST_CASE_CHECK_LAYER_VISITOR_NAME(Quantize, CheckQuantizeLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Quantize, CheckQuantizeLayerVisitorNameNullptr) TEST_CASE_CHECK_LAYER_VISITOR_NAME(Rank, CheckRankLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Rank, CheckRankLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_BEGIN TEST_CASE_CHECK_LAYER_VISITOR_NAME(Subtraction, CheckSubtractionLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Subtraction, CheckSubtractionLayerVisitorNameNullptr) -ARMNN_NO_DEPRECATE_WARN_END TEST_CASE_CHECK_LAYER_VISITOR_NAME(Switch, CheckSwitchLayerVisitorName) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Switch, CheckSwitchLayerVisitorNameNullptr) + } diff --git a/src/armnn/test/optimizations/FuseActivationTests.cpp b/src/armnn/test/optimizations/FuseActivationTests.cpp index 2ccbc9418c..3b8917192d 100644 --- a/src/armnn/test/optimizations/FuseActivationTests.cpp +++ b/src/armnn/test/optimizations/FuseActivationTests.cpp @@ -1,10 +1,11 @@ // -// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2020 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "LayersFwd.hpp" +#include <Network.hpp> #include <ResolveType.hpp> #include <armnn/INetwork.hpp> #include <GraphUtils.hpp> @@ -237,7 +238,6 @@ public: } }; -ARMNN_NO_DEPRECATE_WARN_BEGIN template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> struct MultiplicationTest { @@ -272,9 +272,7 @@ struct MultiplicationTest return {}; } }; -ARMNN_NO_DEPRECATE_WARN_END -ARMNN_NO_DEPRECATE_WARN_BEGIN template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> struct AdditionTest { @@ -309,9 +307,7 @@ struct AdditionTest return {}; } }; -ARMNN_NO_DEPRECATE_WARN_END -ARMNN_NO_DEPRECATE_WARN_BEGIN template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> struct SubtractionTest { @@ -346,9 +342,7 @@ struct SubtractionTest return {}; } }; -ARMNN_NO_DEPRECATE_WARN_END -ARMNN_NO_DEPRECATE_WARN_BEGIN template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> struct DivisionTest { @@ -383,7 +377,6 @@ struct DivisionTest return {}; } }; -ARMNN_NO_DEPRECATE_WARN_END template<typename LayerTest, DataType ArmnnType> diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp index 3998ee730d..6ddc971f36 100644 --- a/src/armnnSerializer/test/SerializerTests.cpp +++ b/src/armnnSerializer/test/SerializerTests.cpp @@ -32,9 +32,7 @@ TEST_CASE("SerializeAddition") armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* const additionLayer = network->AddAdditionLayer(layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer0->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(0)); @@ -359,9 +357,7 @@ TEST_CASE("SerializeConstant") armnn::INetworkPtr network(armnn::INetwork::Create()); armnn::IConnectableLayer* input = network->AddInputLayer(0); armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* add = network->AddAdditionLayer(); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* output = network->AddOutputLayer(0); input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); @@ -931,9 +927,7 @@ TEST_CASE("SerializeDivision") armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); @@ -1633,9 +1627,7 @@ TEST_CASE("SerializeMaximum") armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); @@ -1860,9 +1852,7 @@ TEST_CASE("SerializeMinimum") armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); @@ -1888,9 +1878,7 @@ TEST_CASE("SerializeMultiplication") armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); @@ -2748,9 +2736,7 @@ TEST_CASE("SerializeSubtraction") armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer(layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0)); @@ -2959,9 +2945,7 @@ TEST_CASE("SerializeDeserializeNonLinearNetwork") armnn::INetworkPtr network(armnn::INetwork::Create()); armnn::IConnectableLayer* input = network->AddInputLayer(0); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* add = network->AddAdditionLayer(); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); armnn::IConnectableLayer* output = network->AddOutputLayer(0); diff --git a/src/armnnTestUtils/CreateWorkload.hpp b/src/armnnTestUtils/CreateWorkload.hpp index b16f14dd00..691adbff9d 100644 --- a/src/armnnTestUtils/CreateWorkload.hpp +++ b/src/armnnTestUtils/CreateWorkload.hpp @@ -174,9 +174,8 @@ std::unique_ptr<WorkloadType> CreateSubtractionWithBlobWorkloadTest(armnn::IWork armnn::Graph& graph) { // Creates the layer we're testing. - ARMNN_NO_DEPRECATE_WARN_BEGIN - auto* const layer = graph.AddLayer<SubtractionLayer>("layer"); - ARMNN_NO_DEPRECATE_WARN_END + SubtractionLayer* const layer = graph.AddLayer<SubtractionLayer>("layer"); + auto activationDesc = std::make_shared<ActivationDescriptor>(); activationDesc->m_A = 10.0f; activationDesc->m_B = 5.0f; @@ -234,9 +233,8 @@ std::unique_ptr<WorkloadType> CreateMultiplicationWithBlobWorkloadTest(armnn::IW armnn::Graph& graph) { // Creates the layer we're testing. - ARMNN_NO_DEPRECATE_WARN_BEGIN - auto* const layer = graph.AddLayer<MultiplicationLayer>("layer"); - ARMNN_NO_DEPRECATE_WARN_BEGIN + MultiplicationLayer* const layer = graph.AddLayer<MultiplicationLayer>("layer"); + auto activationDesc = std::make_shared<ActivationDescriptor>(); activationDesc->m_A = 10.0f; activationDesc->m_B = 5.0f; @@ -291,9 +289,8 @@ std::unique_ptr<WorkloadType> CreateAdditionWithBlobWorkloadTest(armnn::IWorkloa armnn::Graph& graph) { // Creates the layer we're testing. - ARMNN_NO_DEPRECATE_WARN_BEGIN - auto* const layer = graph.AddLayer<AdditionLayer>("layer"); - ARMNN_NO_DEPRECATE_WARN_END + AdditionLayer* const layer = graph.AddLayer<AdditionLayer>("layer"); + auto activationDesc = std::make_shared<ActivationDescriptor>(); activationDesc->m_A = 10.0f; activationDesc->m_B = 5.0f; diff --git a/src/backends/aclCommon/ArmComputeSubgraphUtils.hpp b/src/backends/aclCommon/ArmComputeSubgraphUtils.hpp index fb7a4e1387..599d3538eb 100644 --- a/src/backends/aclCommon/ArmComputeSubgraphUtils.hpp +++ b/src/backends/aclCommon/ArmComputeSubgraphUtils.hpp @@ -77,10 +77,8 @@ LayerType* FuseAdditionLayer(OptimizationViews& optimizationViews, ActivationDescriptor& activationDesc, std::string name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN IConnectableLayer* replacement = optimizationViews.GetINetwork()->AddAdditionLayer(name.c_str()); LayerType* replacementLayer = PolymorphicDowncast<LayerType*>(replacement); - ARMNN_NO_DEPRECATE_WARN_END FuseLayer(optimizationViews, baseLayer, @@ -98,10 +96,8 @@ LayerType* FuseSubtractionLayer(OptimizationViews& optimizationViews, ActivationDescriptor& activationDesc, std::string name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN IConnectableLayer* replacement = optimizationViews.GetINetwork()->AddSubtractionLayer(name.c_str()); LayerType* replacementLayer = PolymorphicDowncast<LayerType*>(replacement); - ARMNN_NO_DEPRECATE_WARN_END FuseLayer(optimizationViews, baseLayer, @@ -119,10 +115,8 @@ LayerType* FuseDivisionLayer(OptimizationViews& optimizationViews, ActivationDescriptor& activationDesc, std::string name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN IConnectableLayer* replacement = optimizationViews.GetINetwork()->AddDivisionLayer(name.c_str()); LayerType* replacementLayer = PolymorphicDowncast<LayerType*>(replacement); - ARMNN_NO_DEPRECATE_WARN_END FuseLayer(optimizationViews, baseLayer, @@ -140,10 +134,8 @@ LayerType* FuseMultiplicationLayer(OptimizationViews& optimizationViews, ActivationDescriptor& activationDesc, std::string name) { - ARMNN_NO_DEPRECATE_WARN_BEGIN IConnectableLayer* replacement = optimizationViews.GetINetwork()->AddMultiplicationLayer(name.c_str()); LayerType* replacementLayer = PolymorphicDowncast<LayerType*>(replacement); - ARMNN_NO_DEPRECATE_WARN_END FuseLayer(optimizationViews, baseLayer, diff --git a/src/backends/backendsCommon/WorkloadFactoryBase.hpp b/src/backends/backendsCommon/WorkloadFactoryBase.hpp index e793b44cf4..00e549c933 100644 --- a/src/backends/backendsCommon/WorkloadFactoryBase.hpp +++ b/src/backends/backendsCommon/WorkloadFactoryBase.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2019-2023 Arm Ltd. All rights reserved. +// Copyright © 2019 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // @@ -43,7 +43,6 @@ public: const WorkloadInfo& /*info*/) const override { return nullptr; } - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") std::unique_ptr<IWorkload> CreateAddition(const AdditionQueueDescriptor& /*descriptor*/, const WorkloadInfo& /*info*/) const override { return nullptr; } @@ -104,7 +103,6 @@ public: const WorkloadInfo& /*info*/) const override { return nullptr; } - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") std::unique_ptr<IWorkload> CreateDivision(const DivisionQueueDescriptor& /*descriptor*/, const WorkloadInfo& /*info*/) const override { return nullptr; } @@ -154,7 +152,6 @@ public: const WorkloadInfo& /*info*/) const override { return nullptr; } - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") std::unique_ptr<IWorkload> CreateMaximum(const MaximumQueueDescriptor& /*descriptor*/, const WorkloadInfo& /*info*/) const override { return nullptr; } @@ -175,12 +172,10 @@ public: const WorkloadInfo& /*info*/) const override { return nullptr; } - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") std::unique_ptr<IWorkload> CreateMinimum(const MinimumQueueDescriptor& /*descriptor*/, const WorkloadInfo& /*info*/) const override { return nullptr; } - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") std::unique_ptr<IWorkload> CreateMultiplication(const MultiplicationQueueDescriptor& /*descriptor*/, const WorkloadInfo& /*info*/) const override { return nullptr; } @@ -253,7 +248,6 @@ public: const WorkloadInfo& /*info*/) const override { return nullptr; } - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") std::unique_ptr<IWorkload> CreateSubtraction(const SubtractionQueueDescriptor& /*descriptor*/, const WorkloadInfo& /*info*/) const override { return nullptr; } diff --git a/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp index a0d1af6ab7..f33521888f 100644 --- a/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp +++ b/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #pragma once @@ -30,7 +30,8 @@ armnn::INetworkPtr CreateAdditionNetwork(const armnn::TensorShape& inputXShape, TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset); - IConnectableLayer* addition = network->AddElementwiseBinaryLayer(BinaryOperation::Add, "addition"); + + IConnectableLayer* addition = network->AddAdditionLayer("addition"); IConnectableLayer* inputX = network->AddInputLayer(0, "inputX"); IConnectableLayer* inputY = network->AddInputLayer(1, "inputY"); IConnectableLayer* output = network->AddOutputLayer(0, "output"); diff --git a/src/backends/backendsCommon/test/EndToEndTestImpl.hpp b/src/backends/backendsCommon/test/EndToEndTestImpl.hpp index 9213f0eac9..795fc13c32 100644 --- a/src/backends/backendsCommon/test/EndToEndTestImpl.hpp +++ b/src/backends/backendsCommon/test/EndToEndTestImpl.hpp @@ -39,7 +39,7 @@ bool ConstantUsageTest(const std::vector<BackendId>& computeDevice, IConnectableLayer* input = net->AddInputLayer(0); IConnectableLayer* constant = net->AddConstantLayer(ConstTensor(commonTensorInfo, constantData)); - IConnectableLayer* add = net->AddElementwiseBinaryLayer(BinaryOperation::Add); + IConnectableLayer* add = net->AddAdditionLayer(); IConnectableLayer* output = net->AddOutputLayer(0); input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); @@ -176,8 +176,7 @@ void EndToEndLayerTestImpl(INetworkPtr network, for (unsigned int i = 0; i < out.size(); ++i) { CHECK_MESSAGE(Compare<ArmnnOType>(it.second[i], out[i], tolerance) == true, - "Position: " << i <<" Actual output: " << static_cast<uint32_t>(out[i]) << - ". Expected output:" << static_cast<uint32_t>(it.second[i])); + "Actual output: " << out[i] << ". Expected output:" << it.second[i]); } } diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp index 5475762a53..5b95d3cd92 100644 --- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp +++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp @@ -622,9 +622,7 @@ struct LayerTypePolicy; // Every entry in the armnn::LayerType enum must be accounted for below. DECLARE_LAYER_POLICY_2_PARAM(Activation) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER_POLICY_1_PARAM(Addition) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER_POLICY_2_PARAM(ArgMinMax) @@ -696,21 +694,15 @@ DECLARE_LAYER_POLICY_2_PARAM(Lstm) DECLARE_LAYER_POLICY_MAP_PARAM(Map, void) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER_POLICY_1_PARAM(Maximum) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER_POLICY_2_PARAM(Mean) DECLARE_LAYER_POLICY_1_PARAM(Merge) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER_POLICY_1_PARAM(Minimum) -ARMNN_NO_DEPRECATE_WARN_END -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER_POLICY_1_PARAM(Multiplication) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER_POLICY_2_PARAM(Normalization) @@ -734,9 +726,7 @@ DECLARE_LAYER_POLICY_2_PARAM(QLstm) DECLARE_LAYER_POLICY_1_PARAM(QuantizedLstm) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER_POLICY_1_PARAM(Division) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER_POLICY_1_PARAM(Rank) @@ -762,9 +752,7 @@ DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM(StandIn) DECLARE_LAYER_POLICY_2_PARAM(StridedSlice) -ARMNN_NO_DEPRECATE_WARN_BEGIN DECLARE_LAYER_POLICY_1_PARAM(Subtraction) -ARMNN_NO_DEPRECATE_WARN_END DECLARE_LAYER_POLICY_2_PARAM(Reduce) diff --git a/src/backends/backendsCommon/test/OptimizationViewsTests.cpp b/src/backends/backendsCommon/test/OptimizationViewsTests.cpp index 665358b9c6..ff3217911a 100644 --- a/src/backends/backendsCommon/test/OptimizationViewsTests.cpp +++ b/src/backends/backendsCommon/test/OptimizationViewsTests.cpp @@ -263,9 +263,7 @@ TEST_CASE("OptimizeViewsValidateDeviceMockBackend") armnn::IConnectableLayer* input = net->AddInputLayer(0, "inLayer0"); armnn::IConnectableLayer* input1 = net->AddInputLayer(1, "inLayer1"); - ARMNN_NO_DEPRECATE_WARN_BEGIN armnn::IConnectableLayer* addition = net->AddAdditionLayer("addLayer"); - ARMNN_NO_DEPRECATE_WARN_END armnn::IConnectableLayer* output = net->AddOutputLayer(0, "outLayer"); diff --git a/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp b/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp index 7303733e17..f5a6c4217b 100644 --- a/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp +++ b/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp @@ -133,7 +133,6 @@ Pooling2dLayer* AddPoolingLayer(Graph& graph, } // Convenience function to add an addition layer to a graph -ARMNN_NO_DEPRECATE_WARN_BEGIN AdditionLayer* AddAdditionaLayer(Graph& graph, LayerNameToLayerMap& layersInGraph, const std::string& layerName, @@ -145,7 +144,6 @@ AdditionLayer* AddAdditionaLayer(Graph& graph, layersInGraph.insert(std::make_pair(additionLayer->GetName(), additionLayer)); return additionLayer; } -ARMNN_NO_DEPRECATE_WARN_END // Convenience function to check that the given substitution matches the specified expected values void CheckSubstitution(const OptimizationViews::SubstitutionPair& substitution, @@ -752,9 +750,7 @@ SubgraphView::SubgraphViewPtr BuildPartiallyOptimizableSubgraph2(Graph& graph, L "conv2 layer unoptimizable", outputInfo); Convolution2dLayer* const conv3Layer = AddConvolutionLayer(graph, layersInGraph, convolutionDescriptor, "conv3 layer", outputInfo); - ARMNN_NO_DEPRECATE_WARN_BEGIN AdditionLayer* const addLayer = AddAdditionaLayer(graph, layersInGraph, "add layer", outputInfo); - ARMNN_NO_DEPRECATE_WARN_END Layer* const outputLayer = AddOutputLayer(graph, "output layer"); // Connect the network diff --git a/src/backends/cl/ClBackend.cpp b/src/backends/cl/ClBackend.cpp index 46ba9cb717..a10b6fbb43 100644 --- a/src/backends/cl/ClBackend.cpp +++ b/src/backends/cl/ClBackend.cpp @@ -461,7 +461,6 @@ OptimizationViews ClBackend::OptimizeSubgraphView(const SubgraphView& subgraph, } else if (base.GetType() == LayerType::Addition) { - ARMNN_NO_DEPRECATE_WARN_BEGIN AdditionLayer* baseLayer = PolymorphicDowncast<AdditionLayer*>(&base); arm_compute::Status status = ClAdditionValidate( @@ -480,11 +479,9 @@ OptimizationViews ClBackend::OptimizeSubgraphView(const SubgraphView& subgraph, untouched.erase(baseLayer->GetGuid()); untouched.erase(activationLayer->GetGuid()); } - ARMNN_NO_DEPRECATE_WARN_END } else if (base.GetType() == LayerType::Division) { - ARMNN_NO_DEPRECATE_WARN_BEGIN DivisionLayer* baseLayer = PolymorphicDowncast<DivisionLayer*>(&base); arm_compute::Status status = ClDivisionWorkloadValidate( @@ -503,11 +500,9 @@ OptimizationViews ClBackend::OptimizeSubgraphView(const SubgraphView& subgraph, untouched.erase(baseLayer->GetGuid()); untouched.erase(activationLayer->GetGuid()); } - ARMNN_NO_DEPRECATE_WARN_END } else if (base.GetType() == LayerType::Multiplication) { - ARMNN_NO_DEPRECATE_WARN_BEGIN MultiplicationLayer* baseLayer = PolymorphicDowncast<MultiplicationLayer*>(&base); arm_compute::Status status = ClMultiplicationWorkloadValidate( @@ -526,11 +521,9 @@ OptimizationViews ClBackend::OptimizeSubgraphView(const SubgraphView& subgraph, untouched.erase(baseLayer->GetGuid()); untouched.erase(activationLayer->GetGuid()); } - ARMNN_NO_DEPRECATE_WARN_END } else if (base.GetType() == LayerType::Subtraction) { - ARMNN_NO_DEPRECATE_WARN_BEGIN SubtractionLayer* baseLayer = PolymorphicDowncast<SubtractionLayer*>(&base); arm_compute::Status status = ClSubtractionValidate( @@ -549,7 +542,6 @@ OptimizationViews ClBackend::OptimizeSubgraphView(const SubgraphView& subgraph, untouched.erase(baseLayer->GetGuid()); untouched.erase(activationLayer->GetGuid()); } - ARMNN_NO_DEPRECATE_WARN_END } else if (base.GetType() == LayerType::ElementwiseBinary) { diff --git a/src/backends/cl/ClLayerSupport.cpp b/src/backends/cl/ClLayerSupport.cpp index e1266c8299..89bcf9bc01 100644 --- a/src/backends/cl/ClLayerSupport.cpp +++ b/src/backends/cl/ClLayerSupport.cpp @@ -346,9 +346,7 @@ bool ClLayerSupport::IsLayerSupported(const LayerType& type, case LayerType::Dequantize: return IsDequantizeSupported(infos[0], infos[1], reasonIfUnsupported); case LayerType::Division: - ARMNN_NO_DEPRECATE_WARN_BEGIN return IsDivisionSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); - ARMNN_NO_DEPRECATE_WARN_END case LayerType::ElementwiseBinary: { auto desc = *(PolymorphicDowncast<const ElementwiseBinaryDescriptor *>(&descriptor)); @@ -476,22 +474,16 @@ bool ClLayerSupport::IsLayerSupported(const LayerType& type, infos[2], reasonIfUnsupported); case LayerType::Maximum: - ARMNN_NO_DEPRECATE_WARN_BEGIN return IsMaximumSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); - ARMNN_NO_DEPRECATE_WARN_END case LayerType::Mean: return IsMeanSupported(infos[0], infos[1], *(PolymorphicDowncast<const MeanDescriptor*>(&descriptor)), reasonIfUnsupported); case LayerType::Minimum: - ARMNN_NO_DEPRECATE_WARN_BEGIN return IsMinimumSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); - ARMNN_NO_DEPRECATE_WARN_END case LayerType::Multiplication: - ARMNN_NO_DEPRECATE_WARN_BEGIN return IsMultiplicationSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); - ARMNN_NO_DEPRECATE_WARN_END case LayerType::Normalization: return IsNormalizationSupported(infos[0], infos[1], @@ -612,9 +604,7 @@ bool ClLayerSupport::IsLayerSupported(const LayerType& type, *(PolymorphicDowncast<const StridedSliceDescriptor*>(&descriptor)), reasonIfUnsupported); case LayerType::Subtraction: - ARMNN_NO_DEPRECATE_WARN_BEGIN return IsSubtractionSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); - ARMNN_NO_DEPRECATE_WARN_END case LayerType::Transpose: return IsTransposeSupported(infos[0], infos[1], diff --git a/src/backends/cl/ClLayerSupport.hpp b/src/backends/cl/ClLayerSupport.hpp index fa28141dcb..2d784e3df8 100644 --- a/src/backends/cl/ClLayerSupport.hpp +++ b/src/backends/cl/ClLayerSupport.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #pragma once @@ -30,7 +30,6 @@ public: const ActivationDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") bool IsAdditionSupported(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, @@ -129,14 +128,13 @@ public: const Optional<TensorInfo>& biases, Optional<std::string&> reason = EmptyOptional()) const override; - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") bool IsDivisionSupported(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; bool IsElementwiseUnarySupported(const TensorInfo& input, - const TensorInfo& output, + const TensorInfo& ouput, const ElementwiseUnaryDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; @@ -202,7 +200,6 @@ public: const LstmInputParamsInfo& paramsInfo, Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") bool IsMaximumSupported(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, @@ -213,13 +210,11 @@ public: const MeanDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") bool IsMinimumSupported(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") bool IsMultiplicationSupported(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, @@ -330,7 +325,6 @@ public: const StridedSliceDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; - ARMNN_DEPRECATED_MSG_REMOVAL_DATE("Use CreateElementwiseBinary instead", "24.02") bool IsSubtractionSupported(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, diff --git a/src/backends/neon/NeonBackend.cpp b/src/backends/neon/NeonBackend.cpp index c68f4ce95b..cea2aa3eba 100644 --- a/src/backends/neon/NeonBackend.cpp +++ b/src/backends/neon/NeonBackend.cpp @@ -313,7 +313,6 @@ OptimizationViews NeonBackend::OptimizeSubgraphView(const SubgraphView& subgraph } else if (base.GetType() == LayerType::Addition) { - ARMNN_NO_DEPRECATE_WARN_BEGIN AdditionLayer* baseLayer = PolymorphicDowncast<AdditionLayer*>(&base); arm_compute::Status status = NeonAdditionWorkloadValidate( @@ -332,11 +331,9 @@ OptimizationViews NeonBackend::OptimizeSubgraphView(const SubgraphView& subgraph untouched.erase(baseLayer->GetGuid()); untouched.erase(activationLayer->GetGuid()); } - ARMNN_NO_DEPRECATE_WARN_END } else if (base.GetType() == LayerType::Division) { - ARMNN_NO_DEPRECATE_WARN_BEGIN DivisionLayer* baseLayer = PolymorphicDowncast<DivisionLayer*>(&base); arm_compute::Status status = NeonDivisionWorkloadValidate( @@ -355,11 +352,9 @@ OptimizationViews NeonBackend::OptimizeSubgraphView(const SubgraphView& subgraph untouched.erase(baseLayer->GetGuid()); untouched.erase(activationLayer->GetGuid()); } - ARMNN_NO_DEPRECATE_WARN_END } else if (base.GetType() == LayerType::Multiplication) { - ARMNN_NO_DEPRECATE_WARN_BEGIN MultiplicationLayer* baseLayer = PolymorphicDowncast<MultiplicationLayer*>(&base); arm_compute::Status status = NeonMultiplicationWorkloadValidate( @@ -378,11 +373,9 @@ OptimizationViews NeonBackend::OptimizeSubgraphView(const SubgraphView& subgraph untouched.erase(baseLayer->GetGuid()); untouched.erase(activationLayer->GetGuid()); } - ARMNN_NO_DEPRECATE_WARN_END } else if (base.GetType() == LayerType::Subtraction) { - ARMNN_NO_DEPRECATE_WARN_BEGIN SubtractionLayer* baseLayer = PolymorphicDowncast<SubtractionLayer*>(&base); arm_compute::Status status = NeonSubtractionWorkloadValidate( @@ -401,7 +394,6 @@ OptimizationViews NeonBackend::OptimizeSubgraphView(const SubgraphView& subgraph untouched.erase(baseLayer->GetGuid()); untouched.erase(activationLayer->GetGuid()); } - ARMNN_NO_DEPRECATE_WARN_END } else if (base.GetType() == LayerType::ElementwiseBinary) { diff --git a/src/backends/neon/test/NeonCreateWorkloadTests.cpp b/src/backends/neon/test/NeonCreateWorkloadTests.cpp index 19881c26a0..66718cc481 100644 --- a/src/backends/neon/test/NeonCreateWorkloadTests.cpp +++ b/src/backends/neon/test/NeonCreateWorkloadTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -128,86 +128,70 @@ TEST_CASE("CreateAdditionFloat16Workload") TEST_CASE("CreateAdditionFloatWorkload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN NeonCreateElementwiseWorkloadTest<NeonAdditionWorkload, AdditionQueueDescriptor, AdditionLayer, DataType::Float32>(); - ARMNN_NO_DEPRECATE_WARN_END } #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_CASE("CreateSubtractionFloat16Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, SubtractionQueueDescriptor, SubtractionLayer, DataType::Float16>(); - ARMNN_NO_DEPRECATE_WARN_END } #endif TEST_CASE("CreateSubtractionFloatWorkload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, SubtractionQueueDescriptor, SubtractionLayer, DataType::Float32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateSubtractionUint8Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, SubtractionQueueDescriptor, SubtractionLayer, DataType::QAsymmU8>(); - ARMNN_NO_DEPRECATE_WARN_END } #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_CASE("CreateMultiplicationFloat16Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, MultiplicationQueueDescriptor, MultiplicationLayer, DataType::Float16>(); - ARMNN_NO_DEPRECATE_WARN_END } #endif TEST_CASE("CreateMultiplicationFloatWorkload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, MultiplicationQueueDescriptor, MultiplicationLayer, DataType::Float32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateMultiplicationUint8Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, MultiplicationQueueDescriptor, MultiplicationLayer, DataType::QAsymmU8>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateDivisionFloatWorkloadTest") { - ARMNN_NO_DEPRECATE_WARN_BEGIN NeonCreateElementwiseWorkloadTest<NeonDivisionWorkload, DivisionQueueDescriptor, DivisionLayer, armnn::DataType::Float32>(); - ARMNN_NO_DEPRECATE_WARN_END } template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> diff --git a/src/backends/reference/test/RefCreateWorkloadTests.cpp b/src/backends/reference/test/RefCreateWorkloadTests.cpp index 3bba0b7393..c46a9e5bac 100644 --- a/src/backends/reference/test/RefCreateWorkloadTests.cpp +++ b/src/backends/reference/test/RefCreateWorkloadTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -142,182 +142,146 @@ TEST_CASE("CreateMultiplicationWorkloadWithBlobTest") TEST_CASE("CreateAdditionFloatWorkload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefAdditionWorkload<>, AdditionQueueDescriptor, AdditionLayer, armnn::DataType::Float32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateAdditionUint8Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefAdditionWorkload<>, AdditionQueueDescriptor, AdditionLayer, armnn::DataType::QAsymmU8>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateAdditionInt16Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefAdditionWorkload<>, AdditionQueueDescriptor, AdditionLayer, armnn::DataType::QSymmS16>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateAdditionInt32Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefAdditionWorkload<int32_t>, AdditionQueueDescriptor, AdditionLayer, armnn::DataType::Signed32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateSubtractionFloat32Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefSubtractionWorkload<>, SubtractionQueueDescriptor, SubtractionLayer, armnn::DataType::Float32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateSubtractionFloat16Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefSubtractionWorkload<>, SubtractionQueueDescriptor, SubtractionLayer, armnn::DataType::Float16>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateSubtractionUint8Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefSubtractionWorkload<>, SubtractionQueueDescriptor, SubtractionLayer, armnn::DataType::QAsymmU8>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateSubtractionInt16Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefSubtractionWorkload<>, SubtractionQueueDescriptor, SubtractionLayer, armnn::DataType::QSymmS16>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateSubtractionInt32Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefSubtractionWorkload<int32_t>, SubtractionQueueDescriptor, SubtractionLayer, armnn::DataType::Signed32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateMultiplicationFloatWorkload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefMultiplicationWorkload<>, MultiplicationQueueDescriptor, MultiplicationLayer, armnn::DataType::Float32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateMultiplicationUint8Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefMultiplicationWorkload<>, MultiplicationQueueDescriptor, MultiplicationLayer, armnn::DataType::QAsymmU8>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateMultiplicationInt16Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefMultiplicationWorkload<>, MultiplicationQueueDescriptor, MultiplicationLayer, armnn::DataType::QSymmS16>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateMultiplicationInt32Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefMultiplicationWorkload<int32_t>, MultiplicationQueueDescriptor, MultiplicationLayer, armnn::DataType::Signed32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateDivisionFloat32Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefDivisionWorkload<>, DivisionQueueDescriptor, DivisionLayer, armnn::DataType::Float32>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateDivisionFloat16Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefDivisionWorkload<>, DivisionQueueDescriptor, DivisionLayer, armnn::DataType::Float16>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateDivisionUint8Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefDivisionWorkload<>, DivisionQueueDescriptor, DivisionLayer, armnn::DataType::QAsymmU8>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateDivisionInt16Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefDivisionWorkload<>, DivisionQueueDescriptor, DivisionLayer, armnn::DataType::QSymmS16>(); - ARMNN_NO_DEPRECATE_WARN_END } TEST_CASE("CreateDivisionInt32Workload") { - ARMNN_NO_DEPRECATE_WARN_BEGIN RefCreateElementwiseWorkloadTest<RefDivisionWorkload<int32_t>, DivisionQueueDescriptor, DivisionLayer, armnn::DataType::Signed32>(); - ARMNN_NO_DEPRECATE_WARN_END } template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> |