diff options
Diffstat (limited to 'src/backends/tosaCommon/operatorMappings')
4 files changed, 49 insertions, 38 deletions
diff --git a/src/backends/tosaCommon/operatorMappings/AdditionOperator.cpp b/src/backends/tosaCommon/operatorMappings/AdditionOperator.cpp new file mode 100644 index 0000000000..98ea03ac3c --- /dev/null +++ b/src/backends/tosaCommon/operatorMappings/AdditionOperator.cpp @@ -0,0 +1,44 @@ +// +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "AdditionOperator.hpp" + +TosaSerializationBasicBlock* ConvertAdditionToTosaOperator(const std::vector<const TensorInfo*>& inputs, + const std::vector<const TensorInfo*>& outputs) +{ + // A helper function with static global variables ensures uniqueness + // for dynamically generating input, output and block names + std::string input0Name = std::string("Op_ADD_input0_") + GetUniqueTosaMappingID(); + std::string input1Name = std::string("Op_ADD_input1_") + GetUniqueTosaMappingID(); + std::string outputName = std::string("Op_ADD_output0_") + GetUniqueTosaMappingID(); + std::string blockName = std::string("Op_ADD_block_") + GetUniqueTosaMappingID(); + + TosaSerializationOperator* op = new TosaSerializationOperator(Op_ADD, + Attribute_NONE, + nullptr, + {input0Name, input1Name}, + {outputName}); + + std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape()); + DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType()); + + std::vector<int32_t> inputShape1 = GetTosaTensorShape(inputs[1]->GetShape()); + DType inputDType1 = ArmNNToDType(inputs[1]->GetDataType()); + + std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape()); + DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType()); + + TosaSerializationTensor* inputTensor0 = new TosaSerializationTensor(input0Name, inputShape0, inputDType0, {}); + TosaSerializationTensor* inputTensor1 = new TosaSerializationTensor(input1Name, inputShape1, inputDType1, {}); + 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, inputTensor1, outputTensor0}, // tensors + {input0Name, input1Name}, // inputs + {outputName}); // outputs +}
\ No newline at end of file diff --git a/src/backends/tosaCommon/operatorMappings/AdditionOperator.hpp b/src/backends/tosaCommon/operatorMappings/AdditionOperator.hpp index 98c01e2cb8..2a9c479d8e 100644 --- a/src/backends/tosaCommon/operatorMappings/AdditionOperator.hpp +++ b/src/backends/tosaCommon/operatorMappings/AdditionOperator.hpp @@ -14,39 +14,5 @@ using namespace armnn; using namespace tosa; TosaSerializationBasicBlock* ConvertAdditionToTosaOperator(const std::vector<const TensorInfo*>& inputs, - const std::vector<const TensorInfo*>& outputs) -{ - // A helper function with static global variables ensures uniqueness - // for dynamically generating input, output and block names - std::string input0Name = std::string("Op_ADD_input0_") + GetUniqueTosaMappingID(); - std::string input1Name = std::string("Op_ADD_input1_") + GetUniqueTosaMappingID(); - std::string outputName = std::string("Op_ADD_output0_") + GetUniqueTosaMappingID(); - std::string blockName = std::string("Op_ADD_block_") + GetUniqueTosaMappingID(); + const std::vector<const TensorInfo*>& outputs); - TosaSerializationOperator* op = new TosaSerializationOperator(Op_ADD, - Attribute_NONE, - nullptr, - {input0Name, input1Name}, - {outputName}); - - std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape()); - DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType()); - - std::vector<int32_t> inputShape1 = GetTosaTensorShape(inputs[1]->GetShape()); - DType inputDType1 = ArmNNToDType(inputs[1]->GetDataType()); - - std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape()); - DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType()); - - TosaSerializationTensor* inputTensor0 = new TosaSerializationTensor(input0Name, inputShape0, inputDType0, {}); - TosaSerializationTensor* inputTensor1 = new TosaSerializationTensor(input1Name, inputShape1, inputDType1, {}); - 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, inputTensor1, outputTensor0}, // tensors - {input0Name, input1Name}, // inputs - {outputName}); // outputs -} diff --git a/src/backends/tosaCommon/operatorMappings/CMakeLists.txt b/src/backends/tosaCommon/operatorMappings/CMakeLists.txt index 3965a6ab04..9fc33e9205 100644 --- a/src/backends/tosaCommon/operatorMappings/CMakeLists.txt +++ b/src/backends/tosaCommon/operatorMappings/CMakeLists.txt @@ -5,6 +5,7 @@ list(APPEND armnnTosaBackendOperators_sources AdditionOperator.hpp + AdditionOperator.cpp TosaOperatorUtils.hpp ) diff --git a/src/backends/tosaCommon/operatorMappings/TosaOperatorUtils.hpp b/src/backends/tosaCommon/operatorMappings/TosaOperatorUtils.hpp index e11f293b12..f580a53ebc 100644 --- a/src/backends/tosaCommon/operatorMappings/TosaOperatorUtils.hpp +++ b/src/backends/tosaCommon/operatorMappings/TosaOperatorUtils.hpp @@ -14,7 +14,7 @@ using namespace armnn; using namespace tosa; // Function to return Tosa datatype from input ArmNN datatype. -DType ArmNNToDType(const DataType& type) +inline DType ArmNNToDType(const DataType& type) { switch (type) { @@ -43,7 +43,7 @@ DType ArmNNToDType(const DataType& type) } // Function to return Tosa tensor shape from input ArmNN tensor shape. -std::vector<int32_t> GetTosaTensorShape(const TensorShape& shape) +inline std::vector<int32_t> GetTosaTensorShape(const TensorShape& shape) { std::vector<int32_t> returnShape; for (u_int32_t i = 0; i < shape.GetNumDimensions(); i++) @@ -55,7 +55,7 @@ std::vector<int32_t> GetTosaTensorShape(const TensorShape& shape) // Function to return unique int as a string to ensure uniqueness between all input, output and block names. static int uniqueTosaMappingID = 0; -std::string GetUniqueTosaMappingID() +inline std::string GetUniqueTosaMappingID() { return std::to_string(++uniqueTosaMappingID); } |