diff options
Diffstat (limited to 'src/armnn/Network.cpp')
| -rw-r--r-- | src/armnn/Network.cpp | 22 |
1 files changed, 2 insertions, 20 deletions
diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp index 99d7b96ec2..b516d519d5 100644 --- a/src/armnn/Network.cpp +++ b/src/armnn/Network.cpp @@ -114,11 +114,9 @@ IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor IConnectableLayer* INetwork::AddConvolution3dLayer(const Convolution3dDescriptor& convolution3dDescriptor, - const ConstTensor& weights, - const Optional<ConstTensor>& biases, const char* name) { - return pNetworkImpl->AddConvolution3dLayer(convolution3dDescriptor, weights, biases, name); + return pNetworkImpl->AddConvolution3dLayer(convolution3dDescriptor, name); } @@ -1934,25 +1932,9 @@ IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescrip } IConnectableLayer* NetworkImpl::AddConvolution3dLayer(const Convolution3dDescriptor& convolution3dDescriptor, - const ConstTensor& weights, - const Optional<ConstTensor>& biases, const char* name) { - if (convolution3dDescriptor.m_BiasEnabled && !biases.has_value()) - { - throw InvalidArgumentException("AddConvolution2dLayer: biases cannot be empty"); - } - - const auto layer = m_Graph->AddLayer<Convolution3dLayer>(convolution3dDescriptor, name); - - layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); - - if (convolution3dDescriptor.m_BiasEnabled) - { - layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); - } - - return layer; + return m_Graph->AddLayer<Convolution3dLayer>(convolution3dDescriptor, name); } IConnectableLayer* NetworkImpl::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |