| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ConstantOperator.hpp" |
| |
| #include <layers/ConstantLayer.hpp> |
| |
| TosaSerializationBasicBlock* ConvertConstantToTosaOperator(const Layer* layer, |
| const std::vector<const TensorInfo*>& outputs) |
| { |
| std::string outputName = std::string("constant_"); |
| std::string blockName = std::string("Op_CONST_block_") + GetUniqueTosaMappingID(); |
| |
| std::vector<uint8_t> uint8Data; |
| |
| // If a layer is present then the block will be used for execution, so names need to be unique. |
| // Also, set constant tensor data. |
| if(layer != nullptr) |
| { |
| outputName.append(std::to_string(layer->GetGuid())); |
| blockName.append(std::to_string(layer->GetGuid())); |
| |
| auto constantLayer = PolymorphicDowncast<const armnn::ConstantLayer*>(layer); |
| auto tensorInfo = constantLayer->GetOutputSlot().GetTensorInfo(); |
| |
| uint8Data = ConvertConstantTensorDataToBuffer(constantLayer->m_LayerOutput); |
| } |
| |
| auto* op = new TosaSerializationOperator(Op_CONST, Attribute_NONE, nullptr, {}, {outputName}); |
| |
| std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape()); |
| DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType()); |
| |
| // Setup output tensor with constant tensor data if available. |
| auto* outputTensor0 = new TosaSerializationTensor(outputName, outputShape0, outputDType0, uint8Data); |
| |
| return new TosaSerializationBasicBlock(blockName, // name |
| mainName, // region name |
| {op}, // operators |
| {outputTensor0}, // tensors |
| {}, // inputs |
| {outputName}); // outputs |
| } |