diff options
Diffstat (limited to 'src/armnn/test/optimizations/MovePermuteUpTests.cpp')
| -rw-r--r-- | src/armnn/test/optimizations/MovePermuteUpTests.cpp | 17 |
1 files changed, 9 insertions, 8 deletions
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 }; |