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Diffstat (limited to 'src/backends/tosaCommon/operatorMappings/Pooling2DOperator.cpp')
| -rw-r--r-- | src/backends/tosaCommon/operatorMappings/Pooling2DOperator.cpp | 60 |
1 files changed, 60 insertions, 0 deletions
diff --git a/src/backends/tosaCommon/operatorMappings/Pooling2DOperator.cpp b/src/backends/tosaCommon/operatorMappings/Pooling2DOperator.cpp new file mode 100644 index 0000000000..cd707edb3a --- /dev/null +++ b/src/backends/tosaCommon/operatorMappings/Pooling2DOperator.cpp @@ -0,0 +1,60 @@ +// +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "Pooling2DOperator.hpp" + +TosaSerializationBasicBlock* ConvertPooling2DToTosaOperator(const std::vector<const TensorInfo*>& inputs, + const std::vector<const TensorInfo*>& outputs, + bool isMain, + const Pooling2dDescriptor* poolDescriptor) +{ + std::string poolType = (poolDescriptor->m_PoolType == PoolingAlgorithm::Max) ? "Op_MAX" : "Op_AVG"; + Op opcode = (poolDescriptor->m_PoolType == PoolingAlgorithm::Max) ? Op_MAX_POOL2D : Op_AVG_POOL2D; + + // A helper function with static global variables ensures uniqueness + // for dynamically generating input, output and block names + std::string input0Name = poolType + std::string("_POOL2D_input0_") + GetUniqueTosaMappingID(); + std::string outputName = poolType + std::string("_POOL2D_output0_") + GetUniqueTosaMappingID(); + std::string blockName = poolType + std::string("_POOL2D_block_") + GetUniqueTosaMappingID(); + + // If it's the first block, overwrite block name with main. + if (isMain) + { + blockName = std::string("main"); + } + + std::vector<int> pad = {static_cast<int>(poolDescriptor->m_PadTop), + static_cast<int>(poolDescriptor->m_PadBottom), + static_cast<int>(poolDescriptor->m_PadLeft), + static_cast<int>(poolDescriptor->m_PadRight)}; + std::vector<int> kernel = {static_cast<int>(poolDescriptor->m_PoolHeight), + static_cast<int>(poolDescriptor->m_PoolWidth)}; + std::vector<int> stride = {static_cast<int>(poolDescriptor->m_StrideY), + static_cast<int>(poolDescriptor->m_StrideX)}; + TosaPoolAttribute attribute(pad, kernel, stride, 0, 0, ArmNNToDType(inputs[0]->GetDataType())); + + TosaSerializationOperator* op = new TosaSerializationOperator(opcode, + Attribute_PoolAttribute, + &attribute, + {input0Name}, + {outputName}); + + std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape()); + DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType()); + + std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape()); + DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType()); + + TosaSerializationTensor* inputTensor0 = new TosaSerializationTensor(input0Name, inputShape0, inputDType0, {}); + TosaSerializationTensor* outputTensor0 = new TosaSerializationTensor(outputName, outputShape0, outputDType0, {}); + + // 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 + {inputTensor0, outputTensor0}, // tensors + {input0Name}, // inputs + {outputName}); // outputs +}
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