David Beck | 279f872 | 2018-09-12 13:50:03 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "RefArithmeticWorkload.hpp" |
| 7 | #include "ArithmeticFunction.hpp" |
| 8 | #include "RefWorkloadUtils.hpp" |
| 9 | #include "Profiling.hpp" |
| 10 | #include <vector> |
| 11 | |
| 12 | namespace armnn |
| 13 | { |
| 14 | |
| 15 | template <typename ParentDescriptor, typename Functor> |
| 16 | void BaseFloat32ArithmeticWorkload<ParentDescriptor, Functor>::ExecuteImpl(const char * debugString) const |
| 17 | { |
| 18 | ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, debugString); |
| 19 | |
| 20 | auto data = Float32Workload<ParentDescriptor>::GetData(); |
| 21 | const TensorShape& inShape0 = GetTensorInfo(data.m_Inputs[0]).GetShape(); |
| 22 | const TensorShape& inShape1 = GetTensorInfo(data.m_Inputs[1]).GetShape(); |
| 23 | const TensorShape& outShape = GetTensorInfo(data.m_Outputs[0]).GetShape(); |
| 24 | |
| 25 | const float* inData0 = GetInputTensorDataFloat(0, data); |
| 26 | const float* inData1 = GetInputTensorDataFloat(1, data); |
| 27 | float* outData = GetOutputTensorDataFloat(0, data); |
| 28 | |
| 29 | ArithmeticFunction<Functor>(inShape0, inShape1, outShape, inData0, inData1, outData); |
| 30 | } |
| 31 | |
| 32 | template <typename ParentDescriptor, typename Functor> |
| 33 | void BaseUint8ArithmeticWorkload<ParentDescriptor, Functor>::ExecuteImpl(const char * debugString) const |
| 34 | { |
| 35 | ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, debugString); |
| 36 | |
| 37 | auto data = Uint8Workload<ParentDescriptor>::GetData(); |
| 38 | const TensorInfo& inputInfo0 = GetTensorInfo(data.m_Inputs[0]); |
| 39 | const TensorInfo& inputInfo1 = GetTensorInfo(data.m_Inputs[1]); |
| 40 | const TensorInfo& outputInfo = GetTensorInfo(data.m_Outputs[0]); |
| 41 | |
| 42 | auto dequant0 = Dequantize(GetInputTensorDataU8(0, data), inputInfo0); |
| 43 | auto dequant1 = Dequantize(GetInputTensorDataU8(1, data), inputInfo1); |
| 44 | |
| 45 | std::vector<float> results(outputInfo.GetNumElements()); |
| 46 | |
| 47 | ArithmeticFunction<Functor>(inputInfo0.GetShape(), |
| 48 | inputInfo1.GetShape(), |
| 49 | outputInfo.GetShape(), |
| 50 | dequant0.data(), |
| 51 | dequant1.data(), |
| 52 | results.data()); |
| 53 | |
| 54 | Quantize(GetOutputTensorDataU8(0, data), results.data(), outputInfo); |
| 55 | } |
| 56 | |
| 57 | } |
| 58 | |
| 59 | template class armnn::BaseFloat32ArithmeticWorkload<armnn::AdditionQueueDescriptor, std::plus<float>>; |
| 60 | template class armnn::BaseUint8ArithmeticWorkload<armnn::AdditionQueueDescriptor, std::plus<float>>; |
| 61 | |
| 62 | template class armnn::BaseFloat32ArithmeticWorkload<armnn::SubtractionQueueDescriptor, std::minus<float>>; |
| 63 | template class armnn::BaseUint8ArithmeticWorkload<armnn::SubtractionQueueDescriptor, std::minus<float>>; |
| 64 | |
| 65 | template class armnn::BaseFloat32ArithmeticWorkload<armnn::MultiplicationQueueDescriptor, std::multiplies<float>>; |
| 66 | template class armnn::BaseUint8ArithmeticWorkload<armnn::MultiplicationQueueDescriptor, std::multiplies<float>>; |
| 67 | |
| 68 | template class armnn::BaseFloat32ArithmeticWorkload<armnn::DivisionQueueDescriptor, std::divides<float>>; |
| 69 | template class armnn::BaseUint8ArithmeticWorkload<armnn::DivisionQueueDescriptor, std::divides<float>>; |