diff options
Diffstat (limited to 'src/armnn/test')
| -rw-r--r-- | src/armnn/test/GraphTests.cpp | 10 | ||||
| -rw-r--r-- | src/armnn/test/NetworkTests.cpp | 34 | ||||
| -rw-r--r-- | src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp | 18 | ||||
| -rw-r--r-- | src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp | 3 | ||||
| -rw-r--r-- | src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp | 74 | ||||
| -rw-r--r-- | src/armnn/test/optimizations/MovePermuteUpTests.cpp | 17 | ||||
| -rw-r--r-- | src/armnn/test/optimizations/MoveTransposeUpTests.cpp | 17 |
7 files changed, 99 insertions, 74 deletions
diff --git a/src/armnn/test/GraphTests.cpp b/src/armnn/test/GraphTests.cpp index eea7ae824a..b1b1a84ec9 100644 --- a/src/armnn/test/GraphTests.cpp +++ b/src/armnn/test/GraphTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017 Arm Ltd. All rights reserved. +// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include <GraphUtils.hpp> @@ -36,7 +36,7 @@ TEST_CASE("TopologicalSort") CHECK_NOTHROW(graph.AddLayer<armnn::InputLayer>(0, "layerA")); CHECK_NOTHROW(graph.AddLayer<armnn::ActivationLayer>(activationDefaults, "layerB")); - CHECK_NOTHROW(graph.AddLayer<armnn::AdditionLayer>("layerC")); + CHECK_NOTHROW(graph.AddLayer<armnn::ElementwiseBinaryLayer>(armnn::BinaryOperation::Add, "layerC")); CHECK_NOTHROW(graph.AddLayer<armnn::OutputLayer>(0, "output")); CHECK_NOTHROW(graph.AddLayer<armnn::ActivationLayer>(activationDefaults, "layerD")); CHECK_NOTHROW(graph.AddLayer<armnn::ActivationLayer>(activationDefaults, "layerE")); @@ -82,7 +82,7 @@ TEST_CASE("InsertNewLayerBefore") CHECK_NOTHROW(graph.AddLayer<armnn::InputLayer>(0, "layerA")); CHECK_NOTHROW(graph.AddLayer<armnn::ActivationLayer>(activationDefaults, "layerB")); CHECK_NOTHROW(graph.AddLayer<armnn::ActivationLayer>(activationDefaults, "layerC")); - CHECK_NOTHROW(graph.AddLayer<armnn::AdditionLayer>("layerD")); + CHECK_NOTHROW(graph.AddLayer<armnn::ElementwiseBinaryLayer>(armnn::BinaryOperation::Add, "layerD")); CHECK_NOTHROW(graph.AddLayer<armnn::OutputLayer>(0, "output")); armnn::Layer* const layerA = GetFirstLayerWithName(graph, "layerA"); @@ -168,7 +168,7 @@ TEST_CASE("InsertNewLayerAfter") CHECK_NOTHROW(graph.AddLayer<armnn::InputLayer>(0, "layerA")); CHECK_NOTHROW(graph.AddLayer<armnn::ActivationLayer>(activationDefaults, "layerB")); CHECK_NOTHROW(graph.AddLayer<armnn::ActivationLayer>(activationDefaults, "layerC")); - CHECK_NOTHROW(graph.AddLayer<armnn::AdditionLayer>("layerD")); + CHECK_NOTHROW(graph.AddLayer<armnn::ElementwiseBinaryLayer>(armnn::BinaryOperation::Add, "layerD")); CHECK_NOTHROW(graph.AddLayer<armnn::OutputLayer>(0, "output")); armnn::Layer* const layerA = GetFirstLayerWithName(graph, "layerA"); @@ -548,7 +548,7 @@ TEST_CASE_FIXTURE(CopyLayersFixture, "CopyLayersAddedBetweenSameLayersHaveDiffer armnn::SplitterLayer* const splitterLayer = graph.AddLayer<armnn::SplitterLayer>(splitterDesc, "splitter"); splitterLayer->SetBackendId(armnn::Compute::GpuAcc); - armnn::AdditionLayer* const additionLayer = graph.AddLayer<armnn::AdditionLayer>("addition"); + auto* const additionLayer = graph.AddLayer<armnn::ElementwiseBinaryLayer>(armnn::BinaryOperation::Add, "addition"); additionLayer->SetBackendId(armnn::Compute::CpuRef); armnn::OutputLayer* const outputLayer = graph.AddLayer<armnn::OutputLayer>(0, "output"); diff --git a/src/armnn/test/NetworkTests.cpp b/src/armnn/test/NetworkTests.cpp index 058f079e46..0bfad4d4d1 100644 --- a/src/armnn/test/NetworkTests.cpp +++ b/src/armnn/test/NetworkTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017 Arm Ltd. All rights reserved. +// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -32,7 +32,7 @@ TEST_CASE("LayerGuids") { armnn::NetworkImpl net; LayerGuid inputId = net.AddInputLayer(0)->GetGuid(); - LayerGuid addId = net.AddAdditionLayer()->GetGuid(); + LayerGuid addId = net.AddElementwiseBinaryLayer(armnn::BinaryOperation::Add)->GetGuid(); LayerGuid outputId = net.AddOutputLayer(0)->GetGuid(); CHECK(inputId != addId); @@ -50,7 +50,7 @@ TEST_CASE("LayerNamesAreOptionalForINetwork") { armnn::INetworkPtr inet(armnn::INetwork::Create()); inet->AddInputLayer(0); - inet->AddAdditionLayer(); + inet->AddElementwiseBinaryLayer(armnn::BinaryOperation::Add); inet->AddActivationLayer(armnn::ActivationDescriptor()); inet->AddOutputLayer(0); } @@ -59,7 +59,7 @@ TEST_CASE("LayerNamesAreOptionalForNetwork") { armnn::NetworkImpl net; net.AddInputLayer(0); - net.AddAdditionLayer(); + net.AddElementwiseBinaryLayer(armnn::BinaryOperation::Add); net.AddActivationLayer(armnn::ActivationDescriptor()); net.AddOutputLayer(0); } @@ -136,13 +136,15 @@ TEST_CASE("NetworkModification") softmaxLayer->GetOutputSlot(0).Connect(batchNormalizationLayer->GetInputSlot(0)); - armnn::IConnectableLayer* const additionLayer = net.AddAdditionLayer("addition"); + armnn::IConnectableLayer* const additionLayer = net.AddElementwiseBinaryLayer(armnn::BinaryOperation::Add, + "addition"); CHECK(additionLayer); batchNormalizationLayer->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(0)); batchNormalizationLayer->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(1)); - armnn::IConnectableLayer* const multiplicationLayer = net.AddMultiplicationLayer("multiplication"); + armnn::IConnectableLayer* const multiplicationLayer = net.AddElementwiseBinaryLayer(armnn::BinaryOperation::Mul, + "multiplication"); CHECK(multiplicationLayer); additionLayer->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); @@ -338,7 +340,7 @@ TEST_CASE("NetworkModification_SplitterAddition") splitterLayer->GetOutputSlot(1).Connect(softmax2Layer->GetInputSlot(0)); // Adds addition layer. - layer = net.AddAdditionLayer("add layer"); + layer = net.AddElementwiseBinaryLayer(armnn::BinaryOperation::Add, "add layer"); CHECK(layer); softmax1Layer->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); @@ -382,7 +384,7 @@ TEST_CASE("NetworkModification_SplitterMultiplication") splitterLayer->GetOutputSlot(1).Connect(softmax2Layer->GetInputSlot(0)); // Adds multiplication layer. - layer = net.AddMultiplicationLayer("multiplication layer"); + layer = net.AddElementwiseBinaryLayer(armnn::BinaryOperation::Mul, "multiplication layer"); CHECK(layer); softmax1Layer->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); @@ -634,15 +636,27 @@ TEST_CASE("ObtainConv2DDescriptorFromIConnectableLayer") CHECK(originalDescriptor.m_DataLayout == armnn::DataLayout::NCHW); } -TEST_CASE("CheckNullDescriptor") +TEST_CASE("CheckNotNullDescriptor") { armnn::NetworkImpl net; - armnn::IConnectableLayer* const addLayer = net.AddAdditionLayer(); + armnn::IConnectableLayer* const addLayer = net.AddElementwiseBinaryLayer(armnn::BinaryOperation::Add); CHECK(addLayer); const armnn::BaseDescriptor& descriptor = addLayer->GetParameters(); // additional layer has no descriptor so a NullDescriptor will be returned + CHECK(descriptor.IsNull() == false); +} + +TEST_CASE("CheckNullDescriptor") +{ + armnn::NetworkImpl net; + armnn::IConnectableLayer* const addLayer = net.AddPreluLayer(); + + CHECK(addLayer); + + const armnn::BaseDescriptor& descriptor = addLayer->GetParameters(); + // Prelu has no descriptor so a NullDescriptor will be returned CHECK(descriptor.IsNull() == true); } diff --git a/src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp b/src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp index cfdaaf529b..b8607d1b5f 100644 --- a/src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp +++ b/src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp @@ -1,12 +1,10 @@ // -// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017,2019-2021,2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "TestNameAndDescriptorLayerVisitor.hpp" #include "Network.hpp" -#include <armnn/Exceptions.hpp> - #include <doctest/doctest.h> namespace @@ -84,6 +82,12 @@ armnn::ConcatDescriptor GetDescriptor<armnn::ConcatDescriptor>() } template<> +armnn::ElementwiseBinaryDescriptor GetDescriptor<armnn::ElementwiseBinaryDescriptor>() +{ + return armnn::ElementwiseBinaryDescriptor(armnn::BinaryOperation::Add); +} + +template<> armnn::ElementwiseUnaryDescriptor GetDescriptor<armnn::ElementwiseUnaryDescriptor>() { return armnn::ElementwiseUnaryDescriptor(armnn::UnaryOperation::Abs); @@ -273,12 +277,14 @@ armnn::TransposeDescriptor GetDescriptor<armnn::TransposeDescriptor>() TEST_SUITE("TestNameAndDescriptorLayerVisitor") { -TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(Activation, CheckAdditionLayerVisitorNameAndDescriptor) +TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(Activation, CheckActivationLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(ArgMinMax, CheckArgMinMaxLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(DepthToSpace, CheckDepthToSpaceLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(BatchToSpaceNd, CheckBatchToSpaceNdLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(Comparison, CheckComparisonLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(Concat, CheckConcatLayerVisitorNameAndDescriptor) +TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(ElementwiseBinary, + CheckElementwiseBinaryLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(ElementwiseUnary, CheckElementwiseUnaryLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(Fill, CheckFillLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(Gather, CheckGatherLayerVisitorNameAndDescriptor) @@ -304,7 +310,7 @@ TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(StridedSlice, CheckStridedSlic TEST_CASE_CHECK_LAYER_VISITOR_NAME_AND_DESCRIPTOR(Transpose, CheckTransposeLayerVisitorNameAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR_AND_DESCRIPTOR(Activation, - CheckAdditionLayerVisitorNameNullptrAndDescriptor) + CheckActivationLayerVisitorNameNullptrAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR_AND_DESCRIPTOR(ArgMinMax, CheckArgMinMaxLayerVisitorNameNullptrAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR_AND_DESCRIPTOR(DepthToSpace, @@ -315,6 +321,8 @@ TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR_AND_DESCRIPTOR(Comparison, CheckComparisonLayerVisitorNameNullptrAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR_AND_DESCRIPTOR(Concat, CheckConcatLayerVisitorNameNullptrAndDescriptor) +TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR_AND_DESCRIPTOR(ElementwiseBinary, + CheckElementwiseBinaryLayerVisitorNameNullptrAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR_AND_DESCRIPTOR(ElementwiseUnary, CheckElementwiseUnaryLayerVisitorNameNullptrAndDescriptor) TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR_AND_DESCRIPTOR(Fill, diff --git a/src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp b/src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp index b1f9512655..988903518d 100644 --- a/src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp +++ b/src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017,2019-2021,2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #pragma once @@ -63,6 +63,7 @@ DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(BatchToSpaceNd) DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Comparison) DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Concat) DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(DepthToSpace) +DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(ElementwiseBinary) DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(ElementwiseUnary) DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Fill) DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Gather) diff --git a/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp b/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp index 0636a00234..59dfb862a0 100644 --- a/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp +++ b/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2020 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2020-2021,2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -27,7 +27,7 @@ void AddBroadcastReshapeLayerOptimizerTest(const TensorInfo& info0, auto input0 = graph.AddLayer<InputLayer>(0, "input0"); auto input1 = graph.AddLayer<InputLayer>(1, "input1"); - auto add = graph.AddLayer<AdditionLayer>("add"); + auto add = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "add"); auto output = graph.AddLayer<OutputLayer>(0, "output"); input0->GetOutputSlot().SetTensorInfo(info0); input1->GetOutputSlot().SetTensorInfo(info1); @@ -40,7 +40,7 @@ void AddBroadcastReshapeLayerOptimizerTest(const TensorInfo& info0, CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, - &IsLayerOfType<AdditionLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); // Run optimizer @@ -48,19 +48,19 @@ void AddBroadcastReshapeLayerOptimizerTest(const TensorInfo& info0, // Broadcast reshape layer has been added to the graph correctly CHECK(CheckSequence(graph.cbegin(), graph.cend(), - &IsLayerOfType<InputLayer>, - &IsLayerOfType<InputLayer>, - &IsLayerOfType<ReshapeLayer>, - &IsLayerOfType<AdditionLayer>, - &IsLayerOfType<OutputLayer>)); + &IsLayerOfType<InputLayer>, + &IsLayerOfType<InputLayer>, + &IsLayerOfType<ReshapeLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, + &IsLayerOfType<OutputLayer>)); Layer* const reshapeLayer = GetFirstLayerWithName(graph, reshapeLayerName); CHECK(reshapeLayer); auto addedReshapeTensorInfo = reshapeLayer->GetOutputSlot().GetTensorInfo(); // Tensorshape and the data type are correct - CHECK((addedReshapeTensorInfo.GetShape() == expectedReshapeShape)); - CHECK((addedReshapeTensorInfo.GetDataType() == expectedDataType)); + CHECK_EQ(addedReshapeTensorInfo.GetShape(), expectedReshapeShape); + CHECK_EQ(addedReshapeTensorInfo.GetDataType(), expectedDataType); } TEST_CASE("AddBroadcastReshapeLayerSimpleTest") @@ -121,7 +121,7 @@ TEST_CASE("AddBroadcastReshapeLayerSubtractionTest") auto input0 = graph.AddLayer<InputLayer>(0, "input0"); auto input1 = graph.AddLayer<InputLayer>(1, "input1"); - auto sub = graph.AddLayer<SubtractionLayer>("sub"); + auto sub = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Sub, "sub"); auto output = graph.AddLayer<OutputLayer>(0, "output"); input0->GetOutputSlot().SetTensorInfo(info0); input1->GetOutputSlot().SetTensorInfo(info1); @@ -134,7 +134,7 @@ TEST_CASE("AddBroadcastReshapeLayerSubtractionTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, - &IsLayerOfType<SubtractionLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); // Run optimizer @@ -145,7 +145,7 @@ TEST_CASE("AddBroadcastReshapeLayerSubtractionTest") &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, &IsLayerOfType<ReshapeLayer>, - &IsLayerOfType<SubtractionLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); Layer* const reshapeLayer = GetFirstLayerWithName(graph, "Reshape_for:sub-0"); @@ -153,8 +153,8 @@ TEST_CASE("AddBroadcastReshapeLayerSubtractionTest") auto addedReshapeTensorInfo = reshapeLayer->GetOutputSlot().GetTensorInfo(); // Tensorshape and the data type are correct - CHECK((addedReshapeTensorInfo.GetShape() == TensorShape({ 1, 1, 1, 5 }))); - CHECK((addedReshapeTensorInfo.GetDataType() == DataType::Float32)); + CHECK_EQ(addedReshapeTensorInfo.GetShape(), TensorShape({ 1, 1, 1, 5 })); + CHECK_EQ(addedReshapeTensorInfo.GetDataType(), DataType::Float32); } TEST_CASE("AddBroadcastReshapeLayerDivisionTest") @@ -166,7 +166,7 @@ TEST_CASE("AddBroadcastReshapeLayerDivisionTest") auto input0 = graph.AddLayer<InputLayer>(0, "input0"); auto input1 = graph.AddLayer<InputLayer>(1, "input1"); - auto div = graph.AddLayer<DivisionLayer>("div"); + auto div = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Div, "div"); auto output = graph.AddLayer<OutputLayer>(0, "output"); input0->GetOutputSlot().SetTensorInfo(info0); input1->GetOutputSlot().SetTensorInfo(info1); @@ -179,7 +179,7 @@ TEST_CASE("AddBroadcastReshapeLayerDivisionTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, - &IsLayerOfType<DivisionLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); // Run optimizer @@ -190,7 +190,7 @@ TEST_CASE("AddBroadcastReshapeLayerDivisionTest") &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, &IsLayerOfType<ReshapeLayer>, - &IsLayerOfType<DivisionLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); Layer* const reshapeLayer = GetFirstLayerWithName(graph, "Reshape_for:div-0"); @@ -198,8 +198,8 @@ TEST_CASE("AddBroadcastReshapeLayerDivisionTest") auto addedReshapeTensorInfo = reshapeLayer->GetOutputSlot().GetTensorInfo(); // Tensorshape and the data type are correct - CHECK((addedReshapeTensorInfo.GetShape() == TensorShape({ 1, 1, 4, 5 }))); - CHECK((addedReshapeTensorInfo.GetDataType() == DataType::QAsymmS8)); + CHECK_EQ(addedReshapeTensorInfo.GetShape(), TensorShape({ 1, 1, 4, 5 })); + CHECK_EQ(addedReshapeTensorInfo.GetDataType(), DataType::QAsymmS8); } TEST_CASE("AddBroadcastReshapeLayerMultiplicationTest") @@ -211,7 +211,7 @@ TEST_CASE("AddBroadcastReshapeLayerMultiplicationTest") auto input0 = graph.AddLayer<InputLayer>(0, "input0"); auto input1 = graph.AddLayer<InputLayer>(1, "input1"); - auto mul = graph.AddLayer<MultiplicationLayer>("mul"); + auto mul = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul, "mul"); auto output = graph.AddLayer<OutputLayer>(0, "output"); input0->GetOutputSlot().SetTensorInfo(info0); input1->GetOutputSlot().SetTensorInfo(info1); @@ -224,7 +224,7 @@ TEST_CASE("AddBroadcastReshapeLayerMultiplicationTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, - &IsLayerOfType<MultiplicationLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); // Run optimizer @@ -235,7 +235,7 @@ TEST_CASE("AddBroadcastReshapeLayerMultiplicationTest") &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, &IsLayerOfType<ReshapeLayer>, - &IsLayerOfType<MultiplicationLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); Layer* const reshapeLayer = GetFirstLayerWithName(graph, "Reshape_for:mul-0"); @@ -243,8 +243,8 @@ TEST_CASE("AddBroadcastReshapeLayerMultiplicationTest") auto addedReshapeTensorInfo = reshapeLayer->GetOutputSlot().GetTensorInfo(); // Tensorshape and the data type are correct - CHECK((addedReshapeTensorInfo.GetShape() == TensorShape({ 1, 1, 3, 5 }))); - CHECK((addedReshapeTensorInfo.GetDataType() == DataType::QAsymmU8)); + CHECK_EQ(addedReshapeTensorInfo.GetShape(), TensorShape({ 1, 1, 3, 5 })); + CHECK_EQ(addedReshapeTensorInfo.GetDataType(), DataType::QAsymmU8); } TEST_CASE("AddNoBroadcastReshapeLayerTest") @@ -256,7 +256,7 @@ TEST_CASE("AddNoBroadcastReshapeLayerTest") auto input0 = graph.AddLayer<InputLayer>(0, "input0"); auto input1 = graph.AddLayer<InputLayer>(1, "input1"); - auto mul = graph.AddLayer<MultiplicationLayer>("mul"); + auto mul = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul, "mul"); auto output = graph.AddLayer<OutputLayer>(0, "output"); input0->GetOutputSlot().SetTensorInfo(info0); input1->GetOutputSlot().SetTensorInfo(info1); @@ -269,7 +269,7 @@ TEST_CASE("AddNoBroadcastReshapeLayerTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, - &IsLayerOfType<MultiplicationLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); // Run optimizer @@ -279,7 +279,7 @@ TEST_CASE("AddNoBroadcastReshapeLayerTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<InputLayer>, - &IsLayerOfType<MultiplicationLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); Layer* const reshapeLayer = GetFirstLayerWithName(graph, "Reshape_for:mul-0"); @@ -295,7 +295,7 @@ TEST_CASE("ReshapeParentConstLayerTest") auto input = graph.AddLayer<InputLayer>(0, "input"); auto constant = graph.AddLayer<ConstantLayer>("constant"); - auto mul = graph.AddLayer<MultiplicationLayer>("mul"); + auto mul = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul, "mul"); auto output = graph.AddLayer<OutputLayer>(0, "output"); uint8_t tensor[] = { 1, 1, 1, 1, 1 }; @@ -313,7 +313,7 @@ TEST_CASE("ReshapeParentConstLayerTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<ConstantLayer>, - &IsLayerOfType<MultiplicationLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); // Run optimizer @@ -323,7 +323,7 @@ TEST_CASE("ReshapeParentConstLayerTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<ConstantLayer>, - &IsLayerOfType<MultiplicationLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); TensorShape expectedShape = TensorShape{ 1, 1, 1, 5 }; @@ -351,8 +351,8 @@ TEST_CASE("ReshapeParentConstAddLayerMultipleConnectionsTest") auto input = graph.AddLayer<InputLayer>(0, "input"); auto constant = graph.AddLayer<ConstantLayer>("constant"); - auto add1 = graph.AddLayer<AdditionLayer>("add1"); - auto add2 = graph.AddLayer<AdditionLayer>("add2"); + auto add1 = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "add1"); + auto add2 = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "add2"); auto output = graph.AddLayer<OutputLayer>(0, "output"); input->GetOutputSlot().SetTensorInfo(inputInfo); @@ -371,8 +371,8 @@ TEST_CASE("ReshapeParentConstAddLayerMultipleConnectionsTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<ConstantLayer>, - &IsLayerOfType<AdditionLayer>, - &IsLayerOfType<AdditionLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); // Run optimizer @@ -384,8 +384,8 @@ TEST_CASE("ReshapeParentConstAddLayerMultipleConnectionsTest") &IsLayerOfType<ConstantLayer>, &IsLayerOfType<ReshapeLayer>, &IsLayerOfType<ReshapeLayer>, - &IsLayerOfType<AdditionLayer>, - &IsLayerOfType<AdditionLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, + &IsLayerOfType<ElementwiseBinaryLayer>, &IsLayerOfType<OutputLayer>)); // Ensure the output shape of the constant hasn't changed. diff --git a/src/armnn/test/optimizations/MovePermuteUpTests.cpp b/src/armnn/test/optimizations/MovePermuteUpTests.cpp index 152e79925b..018286c70d 100644 --- a/src/armnn/test/optimizations/MovePermuteUpTests.cpp +++ b/src/armnn/test/optimizations/MovePermuteUpTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017 Arm Ltd. All rights reserved. +// Copyright © 2017,2019-2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -36,7 +36,7 @@ TEST_CASE("MovePermuteUpTest") head = graph.InsertNewLayer<armnn::ActivationLayer>(head->GetInputSlot(0), armnn::ActivationDescriptor{}, ""); head->GetOutputHandler().SetTensorInfo(info); - head = graph.InsertNewLayer<armnn::AdditionLayer>(head->GetInputSlot(0), ""); + head = graph.InsertNewLayer<armnn::ElementwiseBinaryLayer>(head->GetInputSlot(0), armnn::BinaryOperation::Add, ""); head->GetOutputHandler().SetTensorInfo(info); // Inserts input for 2nd input of Addition. @@ -54,7 +54,7 @@ TEST_CASE("MovePermuteUpTest") head = graph.InsertNewLayer<armnn::MemCopyLayer>(head->GetInputSlot(0), ""); head->GetOutputHandler().SetTensorInfo(info); - head = graph.InsertNewLayer<armnn::MultiplicationLayer>(head->GetInputSlot(0), ""); + head = graph.InsertNewLayer<armnn::ElementwiseBinaryLayer>(head->GetInputSlot(0), armnn::BinaryOperation::Mul, ""); head->GetOutputHandler().SetTensorInfo(info); // Inserts input for 2nd input of Multiplication. @@ -69,9 +69,9 @@ TEST_CASE("MovePermuteUpTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::MultiplicationLayer>, &IsLayerOfType<armnn::MemCopyLayer>, + &IsLayerOfType<armnn::ElementwiseBinaryLayer>, &IsLayerOfType<armnn::MemCopyLayer>, &IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::FakeQuantizationLayer>, - &IsLayerOfType<armnn::AdditionLayer>, &IsLayerOfType<armnn::ActivationLayer>, + &IsLayerOfType<armnn::ElementwiseBinaryLayer>, &IsLayerOfType<armnn::ActivationLayer>, &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::OutputLayer>)); armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(MovePermuteUp())); @@ -80,10 +80,11 @@ TEST_CASE("MovePermuteUpTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::PermuteLayer>, - &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::MultiplicationLayer>, + &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::ElementwiseBinaryLayer>, &IsLayerOfType<armnn::MemCopyLayer>, &IsLayerOfType<armnn::FloorLayer>, - &IsLayerOfType<armnn::FakeQuantizationLayer>, &IsLayerOfType<armnn::AdditionLayer>, - &IsLayerOfType<armnn::ActivationLayer>, &IsLayerOfType<armnn::OutputLayer>)); + &IsLayerOfType<armnn::FakeQuantizationLayer>, + &IsLayerOfType<armnn::ElementwiseBinaryLayer>, &IsLayerOfType<armnn::ActivationLayer>, + &IsLayerOfType<armnn::OutputLayer>)); std::list<std::string> testRelatedLayers = { permuteLayerName }; diff --git a/src/armnn/test/optimizations/MoveTransposeUpTests.cpp b/src/armnn/test/optimizations/MoveTransposeUpTests.cpp index 09bf9ae7d9..6a6010cb4d 100644 --- a/src/armnn/test/optimizations/MoveTransposeUpTests.cpp +++ b/src/armnn/test/optimizations/MoveTransposeUpTests.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2020 Arm Ltd. All rights reserved. +// Copyright © 2020-2021,2023 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // @@ -37,7 +37,7 @@ TEST_CASE("MoveTransposeUpTest") head = graph.InsertNewLayer<armnn::ActivationLayer>(head->GetInputSlot(0), armnn::ActivationDescriptor{}, ""); head->GetOutputHandler().SetTensorInfo(info); - head = graph.InsertNewLayer<armnn::AdditionLayer>(head->GetInputSlot(0), ""); + head = graph.InsertNewLayer<armnn::ElementwiseBinaryLayer>(head->GetInputSlot(0), armnn::BinaryOperation::Add, ""); head->GetOutputHandler().SetTensorInfo(info); // Inserts input for 2nd input of Addition. @@ -55,7 +55,7 @@ TEST_CASE("MoveTransposeUpTest") head = graph.InsertNewLayer<armnn::MemCopyLayer>(head->GetInputSlot(0), ""); head->GetOutputHandler().SetTensorInfo(info); - head = graph.InsertNewLayer<armnn::MultiplicationLayer>(head->GetInputSlot(0), ""); + head = graph.InsertNewLayer<armnn::ElementwiseBinaryLayer>(head->GetInputSlot(0), armnn::BinaryOperation::Mul, ""); head->GetOutputHandler().SetTensorInfo(info); // Inserts input for 2nd input of Multiplication. @@ -70,9 +70,9 @@ TEST_CASE("MoveTransposeUpTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::MultiplicationLayer>, &IsLayerOfType<armnn::MemCopyLayer>, + &IsLayerOfType<armnn::ElementwiseBinaryLayer>, &IsLayerOfType<armnn::MemCopyLayer>, &IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::FakeQuantizationLayer>, - &IsLayerOfType<armnn::AdditionLayer>, &IsLayerOfType<armnn::ActivationLayer>, + &IsLayerOfType<armnn::ElementwiseBinaryLayer>, &IsLayerOfType<armnn::ActivationLayer>, &IsLayerOfType<armnn::TransposeLayer>, &IsLayerOfType<armnn::OutputLayer>)); armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(MoveTransposeUp())); @@ -81,10 +81,11 @@ TEST_CASE("MoveTransposeUpTest") CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::TransposeLayer>, &IsLayerOfType<armnn::TransposeLayer>, - &IsLayerOfType<armnn::TransposeLayer>, &IsLayerOfType<armnn::MultiplicationLayer>, + &IsLayerOfType<armnn::TransposeLayer>, &IsLayerOfType<armnn::ElementwiseBinaryLayer>, &IsLayerOfType<armnn::MemCopyLayer>, &IsLayerOfType<armnn::FloorLayer>, - &IsLayerOfType<armnn::FakeQuantizationLayer>, &IsLayerOfType<armnn::AdditionLayer>, - &IsLayerOfType<armnn::ActivationLayer>, &IsLayerOfType<armnn::OutputLayer>)); + &IsLayerOfType<armnn::FakeQuantizationLayer>, + &IsLayerOfType<armnn::ElementwiseBinaryLayer>, &IsLayerOfType<armnn::ActivationLayer>, + &IsLayerOfType<armnn::OutputLayer>)); std::list<std::string> testRelatedLayers = { transposeLayerName }; |