diff options
| author | Mike Kelly <mike.kelly@arm.com> | 2023-03-08 13:47:17 +0000 |
|---|---|---|
| committer | Francis Murtagh <francis.murtagh@arm.com> | 2023-03-14 16:40:09 +0000 |
| commit | 3ec3077b4eaedcc0c20ab5774bdbe365da541445 (patch) | |
| tree | d601d2000897dec8691bf64cbddc9036f26b8034 /src/armnn/test/optimizations/MoveTransposeUpTests.cpp | |
| parent | a088cd00b3cce672d26cdcb4965fc2a86b48f339 (diff) | |
| download | armnn-3ec3077b4eaedcc0c20ab5774bdbe365da541445.tar.gz | |
IVGCVSW-3808 Add ElementwiseBinaryLayer
!android-nn-driver:9329
* Added ElementwiseBinaryLayer that can represent all ElementwiseBinary
operations including Add, Div, Sub, Maximum, Mul and Minimum.
* Updated Delegate to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated Deserializer to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add
layer.
* Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated CL and Neon tests to use ElementwiseBinaryLayer.
* Updated CL and Neon Backend Specific Optimizations to accept
ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum
layers.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75
Diffstat (limited to 'src/armnn/test/optimizations/MoveTransposeUpTests.cpp')
| -rw-r--r-- | src/armnn/test/optimizations/MoveTransposeUpTests.cpp | 17 |
1 files changed, 9 insertions, 8 deletions
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 }; |