diff options
Diffstat (limited to 'src/backends/tosaCommon/operatorMappings/ElementwiseUnaryOperator.cpp')
-rw-r--r-- | src/backends/tosaCommon/operatorMappings/ElementwiseUnaryOperator.cpp | 12 |
1 files changed, 4 insertions, 8 deletions
diff --git a/src/backends/tosaCommon/operatorMappings/ElementwiseUnaryOperator.cpp b/src/backends/tosaCommon/operatorMappings/ElementwiseUnaryOperator.cpp index 02dddab8bc..d0eac0b4f4 100644 --- a/src/backends/tosaCommon/operatorMappings/ElementwiseUnaryOperator.cpp +++ b/src/backends/tosaCommon/operatorMappings/ElementwiseUnaryOperator.cpp @@ -10,7 +10,7 @@ TosaSerializationBasicBlock* ConvertElementwiseUnaryOperator(const Layer* layer, const std::vector<const TensorInfo*>& outputs, const ElementwiseUnaryDescriptor* unaryDescriptor) { - std::string input0Name = std::string("input0_"); + std::string input0Name = std::string("input_"); std::string outputName = std::string("output0_"); std::string blockName = std::string("Op_ELEMENTWISEUNARY_block_") + GetUniqueTosaMappingID(); @@ -19,12 +19,8 @@ TosaSerializationBasicBlock* ConvertElementwiseUnaryOperator(const Layer* layer, // using the previous and following layers so the graph is connected correctly. For validation this doesn't matter. if(layer != nullptr) { - // Get the layer connected to the input slot and determine unique the tensor name. - Layer& connectedLayer0 = layer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer(); - input0Name = GenerateUniqueName(connectedLayer0, 0); - - // Determine unique output tensor name. - outputName = GenerateUniqueOutputName(*layer, 0); + input0Name = GenerateUniqueInputName(layer->GetInputSlot(0)); + outputName = GenerateUniqueOutputName(*layer); } TosaSerializationOperator* op = nullptr; @@ -48,7 +44,7 @@ TosaSerializationBasicBlock* ConvertElementwiseUnaryOperator(const Layer* layer, // Only add input tensor if connected layer is an input layer. // As intermediate or constant tensors will be created separately. // There also can't be duplicate tensor. - if(input0Name.find("input0_") != std::string::npos) + if(input0Name.find("input_") != std::string::npos) { std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape()); DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType()); |