diff options
Diffstat (limited to 'src/armnn/layers/Convolution2dLayer.cpp')
-rw-r--r-- | src/armnn/layers/Convolution2dLayer.cpp | 29 |
1 files changed, 2 insertions, 27 deletions
diff --git a/src/armnn/layers/Convolution2dLayer.cpp b/src/armnn/layers/Convolution2dLayer.cpp index d0233976c4..e06b45acb0 100644 --- a/src/armnn/layers/Convolution2dLayer.cpp +++ b/src/armnn/layers/Convolution2dLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -48,18 +48,8 @@ void Convolution2dLayer::SerializeLayerParameters(ParameterStringifyFunction& fn std::unique_ptr<IWorkload> Convolution2dLayer::CreateWorkload(const IWorkloadFactory& factory) const { - // on this level constant data should not be released.. ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Convolution2dLayer_CreateWorkload"); Convolution2dQueueDescriptor descriptor; - if (m_Weight) - { - descriptor.m_Weight = m_Weight.get(); - } - if (m_Param.m_BiasEnabled && m_Bias) - { - descriptor.m_Bias = m_Bias.get(); - } - SetAdditionalInfo(descriptor); return factory.CreateWorkload(LayerType::Convolution2d, descriptor, PrepInfoAndDesc(descriptor)); @@ -68,14 +58,6 @@ std::unique_ptr<IWorkload> Convolution2dLayer::CreateWorkload(const IWorkloadFac Convolution2dLayer* Convolution2dLayer::Clone(Graph& graph) const { auto layer = CloneBase<Convolution2dLayer>(graph, m_Param, GetName()); - - layer->m_Weight = m_Weight ? m_Weight : nullptr; - - if (layer->m_Param.m_BiasEnabled) - { - layer->m_Bias = m_Bias ? m_Bias : nullptr; - } - return std::move(layer); } @@ -140,14 +122,7 @@ void Convolution2dLayer::ValidateTensorShapesFromInputs() Layer::ConstantTensors Convolution2dLayer::GetConstantTensorsByRef() { Layer::ConstantTensors tensors = GetConnectedConstantAsInputTensors(); - - if (!tensors.empty()) - { - return tensors; - } - - // For API stability DO NOT ALTER order and add new members to the end of vector - return {m_Weight, m_Bias}; + return tensors; } void Convolution2dLayer::ExecuteStrategy(IStrategy& strategy) const |