diff options
Diffstat (limited to 'src/backends/backendsCommon')
-rw-r--r-- | src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp | 2 | ||||
-rw-r--r-- | src/backends/backendsCommon/test/OptimizedNetworkTests.cpp | 16 |
2 files changed, 10 insertions, 8 deletions
diff --git a/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp b/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp index 45fcf19f90..67354696b0 100644 --- a/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp +++ b/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp @@ -315,7 +315,7 @@ SubgraphView::SubgraphViewPtr BuildFullyOptimizableSubgraph1(Graph& graph, Layer const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0); const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0); TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QAsymmU8, 0.9f, 0); - TensorInfo biasInfo ({ 1, 1, 1, 16 }, DataType::Signed32, 0.9f, 0); + TensorInfo biasInfo({ 1, 1, 1, 16 }, DataType::Signed32, 0.9f, 0); weightInfo.SetConstant(true); biasInfo.SetConstant(true); diff --git a/src/backends/backendsCommon/test/OptimizedNetworkTests.cpp b/src/backends/backendsCommon/test/OptimizedNetworkTests.cpp index 8e3b275649..bcea0610db 100644 --- a/src/backends/backendsCommon/test/OptimizedNetworkTests.cpp +++ b/src/backends/backendsCommon/test/OptimizedNetworkTests.cpp @@ -402,14 +402,16 @@ TEST_CASE("OptimizeNetworkCopy") armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); - ARMNN_NO_DEPRECATE_WARN_BEGIN - armnn::IConnectableLayer* const convLayer = - network->AddConvolution2dLayer(descriptor, - weights, - armnn::Optional<armnn::ConstTensor>(biases), - layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_END + armnn::IConnectableLayer* const convLayer = network->AddConvolution2dLayer(descriptor, layerName.c_str()); armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); + armnn::IConnectableLayer* weightsLayer = network->AddConstantLayer(weights); + armnn::IConnectableLayer* biasLayer = network->AddConstantLayer(biases); + + weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); + weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1u)); + + biasLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); + biasLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2u)); inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |