diff options
Diffstat (limited to 'delegate/src/Convolution.hpp')
| -rw-r--r-- | delegate/src/Convolution.hpp | 12 |
1 files changed, 12 insertions, 0 deletions
diff --git a/delegate/src/Convolution.hpp b/delegate/src/Convolution.hpp index 93da4c8ce2..e307bb9be3 100644 --- a/delegate/src/Convolution.hpp +++ b/delegate/src/Convolution.hpp @@ -144,6 +144,7 @@ TfLiteStatus VisitConv2dOperator(DelegateData& delegateData, CalcPadding(inputWidth, filterWidth, descriptor.m_StrideX, descriptor.m_DilationX, descriptor.m_PadLeft, descriptor.m_PadRight, params->padding); + armnn::BackendId setBackend; if (!delegateData.m_Network) { bool isSupported = false; @@ -152,6 +153,7 @@ TfLiteStatus VisitConv2dOperator(DelegateData& delegateData, IsConvolution2dSupported, delegateData.m_Backends, isSupported, + setBackend, inputTensorInfo, outputTensorInfo, descriptor, @@ -162,6 +164,7 @@ TfLiteStatus VisitConv2dOperator(DelegateData& delegateData, // Set up filter and biases armnn::IConnectableLayer* layer = delegateData.m_Network->AddConvolution2dLayer(descriptor); + layer->SetBackendId(setBackend); if(tflite::IsConstantTensor(&tfLiteContext->tensors[tfLiteNode->inputs->data[1]])) { @@ -300,6 +303,7 @@ TfLiteStatus VisitConv3dOperator(DelegateData& delegateData, // If the m_Network is a nullptr, this signals that a prerequisite TfLite callback is required to clarify the // support for the operator // If supported, VisitConvolutionOperator will be called again to add the layer to the network as seen below. + armnn::BackendId setBackend; if (!delegateData.m_Network) { bool isSupported = false; @@ -308,6 +312,7 @@ TfLiteStatus VisitConv3dOperator(DelegateData& delegateData, IsConvolution3dSupported, delegateData.m_Backends, isSupported, + setBackend, inputTensorInfo, outputTensorInfo, descriptor, @@ -317,6 +322,7 @@ TfLiteStatus VisitConv3dOperator(DelegateData& delegateData, } armnn::IConnectableLayer* layer = delegateData.m_Network->AddConvolution3dLayer(descriptor); + layer->SetBackendId(setBackend); ARMNN_ASSERT(layer != nullptr); // Add a constant layer for weights and biases if inputs are constant, @@ -497,6 +503,7 @@ TfLiteStatus VisitDepthwiseConv2dOperator(DelegateData& delegateData, biasTensorInfo = armnn::TensorInfo(armnn::TensorShape({1}), GetDataType(tfLiteInputTensor)); } + armnn::BackendId setBackend; if (!delegateData.m_Network) { bool isSupported = false; @@ -505,6 +512,7 @@ TfLiteStatus VisitDepthwiseConv2dOperator(DelegateData& delegateData, IsDepthwiseConvolutionSupported, delegateData.m_Backends, isSupported, + setBackend, inputTensorInfo, outputTensorInfo, descriptor, @@ -514,6 +522,7 @@ TfLiteStatus VisitDepthwiseConv2dOperator(DelegateData& delegateData, } armnn::IConnectableLayer* layer = delegateData.m_Network->AddDepthwiseConvolution2dLayer(descriptor); + layer->SetBackendId(setBackend); if(tflite::IsConstantTensor(&tfLiteFilterTensor)) { @@ -699,6 +708,7 @@ TfLiteStatus VisitTransposeConv2dOperator(DelegateData& delegateData, auto filterTensor = CreateConstTensor(&tfLiteFilterTensor, filterTensorInfo, armnn::Optional<armnn::PermutationVector&>()); + armnn::BackendId setBackend; if (!delegateData.m_Network) { bool isSupported = false; @@ -707,6 +717,7 @@ TfLiteStatus VisitTransposeConv2dOperator(DelegateData& delegateData, IsTransposeConvolution2dSupported, delegateData.m_Backends, isSupported, + setBackend, inputTensorInfo, outputTensorInfo, descriptor, @@ -718,6 +729,7 @@ TfLiteStatus VisitTransposeConv2dOperator(DelegateData& delegateData, armnn::IConnectableLayer* layer = delegateData.m_Network->AddTransposeConvolution2dLayer(descriptor, filterTensor, armnn::EmptyOptional()); + layer->SetBackendId(setBackend); ARMNN_ASSERT(layer != nullptr); armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); |