diff options
Diffstat (limited to 'src/armnn/Network.cpp')
| -rw-r--r-- | src/armnn/Network.cpp | 25 |
1 files changed, 1 insertions, 24 deletions
diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp index 8a1437a0fb..f9ebad2b08 100644 --- a/src/armnn/Network.cpp +++ b/src/armnn/Network.cpp @@ -430,28 +430,6 @@ IOptimizedNetworkPtr Optimize(const INetwork& inNetwork, Optimizer::Pass(optNetObjPtr->GetGraph(), MakeOptimizations(OptimizeInverseConversionsFp16(), OptimizeInverseConversionsFp32())); - // Insert pre-compiled layers where required by the backend - // TODO: This is a dummy/default backend id used for making the code build until - // we've properly refactored the optimizer - const BackendId backendId(Compute::Undefined); - auto const& backendRegistry = BackendRegistryInstance(); - if (backendRegistry.IsBackendRegistered(backendId)) - { - // Obtain a backend object using the registered factory - auto backendFactory = backendRegistry.GetFactory(backendId); - auto backendObjPtr = backendFactory(); - - OptimizationResult insertPreCompiledLayersResult = InsertPreCompiledLayers(optNetObjPtr, - backendObjPtr, - backendSettings, - errMessages); - if (insertPreCompiledLayersResult.m_Error) - { - // Failed to insert pre-compiled layers - return IOptimizedNetworkPtr(nullptr, &IOptimizedNetwork::Destroy); - } - } - // If the debug flag is set, then insert a DebugLayer after each layer. // NOTE: This optimization can only happen strictly after the PreCompiled layers have // already been inserted @@ -588,8 +566,7 @@ IConnectableLayer* Network::AddDepthwiseConvolution2dLayerImpl( throw InvalidArgumentException("AddDepthwiseConvolution2dLayer: biases cannot be NULL"); } - const auto layer = m_Graph->AddLayer<DepthwiseConvolution2dLayer>(convolution2dDescriptor, - name); + const auto layer = m_Graph->AddLayer<DepthwiseConvolution2dLayer>(convolution2dDescriptor, name); layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(weights); |