diff options
Diffstat (limited to 'src/backends/tosaCommon/operatorMappings/SliceOperator.cpp')
| -rw-r--r-- | src/backends/tosaCommon/operatorMappings/SliceOperator.cpp | 22 |
1 files changed, 15 insertions, 7 deletions
diff --git a/src/backends/tosaCommon/operatorMappings/SliceOperator.cpp b/src/backends/tosaCommon/operatorMappings/SliceOperator.cpp index fc2e40a95c..742ba88d73 100644 --- a/src/backends/tosaCommon/operatorMappings/SliceOperator.cpp +++ b/src/backends/tosaCommon/operatorMappings/SliceOperator.cpp @@ -23,8 +23,7 @@ TosaSerializationBasicBlock* ConvertSliceToTosaOperator(const Layer* layer, inputName = GenerateUniqueName(connectedLayer, 0); // Get the layer connected to the output slot and determine unique layer name. - Layer& connectedOutputLayer = layer->GetOutputSlot().GetConnection(0)->GetOwningLayer(); - outputName = GenerateUniqueName(connectedOutputLayer, 0); + outputName = GenerateUniqueOutputName(*layer, 0); } std::vector<int32_t> begin(sliceDescriptor->m_Begin.begin(), sliceDescriptor->m_Begin.end()); @@ -38,20 +37,29 @@ TosaSerializationBasicBlock* ConvertSliceToTosaOperator(const Layer* layer, {inputName}, {outputName}); - std::vector<int32_t> inputShape = GetTosaTensorShape(inputs[0]->GetShape()); - DType inputDType = ArmNNToDType(inputs[0]->GetDataType()); + std::vector<TosaSerializationTensor*> tensors; + + // Only add input tensors if connected layer is an input layer. + // As intermediate or constant tensors will be created separately. + // There also can't be duplicate tensor. + if(inputName.find("input0_") != std::string::npos) + { + std::vector<int32_t> inputShape = GetTosaTensorShape(inputs[0]->GetShape()); + DType inputDType = ArmNNToDType(inputs[0]->GetDataType()); + + tensors.push_back(new TosaSerializationTensor(inputName, inputShape, inputDType, {})); + } std::vector<int32_t> outputShape = GetTosaTensorShape(outputs[0]->GetShape()); DType outputDType = ArmNNToDType(outputs[0]->GetDataType()); - auto* inputTensor = new TosaSerializationTensor(inputName, inputShape, inputDType, {}); - auto* outputTensor = new TosaSerializationTensor(outputName, outputShape, outputDType, {}); + tensors.push_back(new TosaSerializationTensor(outputName, outputShape, outputDType, {})); // operatorInputNames/operatorOutputNames ends up being the same as // blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings return new TosaSerializationBasicBlock(blockName, // name {op}, // operators - {inputTensor, outputTensor}, // tensors + tensors, // tensors {inputName}, // inputs {outputName}); // outputs }
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