Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "RefElementwiseWorkload.hpp" |
| 7 | #include "ElementwiseFunction.hpp" |
| 8 | #include "RefWorkloadUtils.hpp" |
| 9 | #include "Profiling.hpp" |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 10 | #include "StringMapping.hpp" |
| 11 | #include "TypeUtils.hpp" |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 12 | #include <vector> |
| 13 | |
| 14 | namespace armnn |
| 15 | { |
| 16 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 17 | template <typename Functor, typename ParentDescriptor, typename armnn::StringMapping::Id DebugString> |
| 18 | void RefElementwiseWorkload<Functor, ParentDescriptor, DebugString>::Execute() const |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 19 | { |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 20 | ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, StringMapping::Instance().Get(DebugString)); |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 21 | const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]); |
| 22 | const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]); |
| 23 | const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 24 | |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 25 | const TensorShape& inShape0 = inputInfo0.GetShape(); |
| 26 | const TensorShape& inShape1 = inputInfo1.GetShape(); |
| 27 | const TensorShape& outShape = outputInfo.GetShape(); |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 28 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 29 | switch(inputInfo0.GetDataType()) |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 30 | { |
| 31 | case armnn::DataType::QuantisedAsymm8: |
| 32 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 33 | QASymm8Decoder decodeIterator0(GetInputTensorDataU8(0, m_Data), |
| 34 | inputInfo0.GetQuantizationScale(), |
| 35 | inputInfo0.GetQuantizationOffset()); |
| 36 | |
| 37 | QASymm8Decoder decodeIterator1(GetInputTensorDataU8(1, m_Data), |
| 38 | inputInfo1.GetQuantizationScale(), |
| 39 | inputInfo1.GetQuantizationOffset()); |
| 40 | |
| 41 | QASymm8Encoder encodeIterator0(GetOutputTensorDataU8(0, m_Data), |
| 42 | outputInfo.GetQuantizationScale(), |
| 43 | outputInfo.GetQuantizationOffset()); |
| 44 | |
| 45 | ElementwiseFunction<Functor, Decoder, Encoder>(inShape0, |
| 46 | inShape1, |
| 47 | outShape, |
| 48 | decodeIterator0, |
| 49 | decodeIterator1, |
| 50 | encodeIterator0); |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 51 | break; |
| 52 | } |
| 53 | case armnn::DataType::Float32: |
| 54 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 55 | FloatDecoder decodeIterator0(GetInputTensorDataFloat(0, m_Data)); |
| 56 | FloatDecoder decodeIterator1(GetInputTensorDataFloat(1, m_Data)); |
| 57 | FloatEncoder encodeIterator0(GetOutputTensorDataFloat(0, m_Data)); |
| 58 | |
| 59 | ElementwiseFunction<Functor, Decoder, Encoder>(inShape0, |
| 60 | inShape1, |
| 61 | outShape, |
| 62 | decodeIterator0, |
| 63 | decodeIterator1, |
| 64 | encodeIterator0); |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 65 | break; |
| 66 | } |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 67 | case armnn::DataType::QuantisedSymm16: |
| 68 | { |
| 69 | QSymm16Decoder decodeIterator0(GetInputTensorData<int16_t>(0, m_Data), |
| 70 | inputInfo0.GetQuantizationScale(), |
| 71 | inputInfo0.GetQuantizationOffset()); |
| 72 | |
| 73 | QSymm16Decoder decodeIterator1(GetInputTensorData<int16_t>(1, m_Data), |
| 74 | inputInfo1.GetQuantizationScale(), |
| 75 | inputInfo1.GetQuantizationOffset()); |
| 76 | |
| 77 | QSymm16Encoder encodeIterator0(GetOutputTensorData<int16_t>(0, m_Data), |
| 78 | outputInfo.GetQuantizationScale(), |
| 79 | outputInfo.GetQuantizationOffset()); |
| 80 | |
| 81 | ElementwiseFunction<Functor, Decoder, Encoder>(inShape0, |
| 82 | inShape1, |
| 83 | outShape, |
| 84 | decodeIterator0, |
| 85 | decodeIterator1, |
| 86 | encodeIterator0); |
| 87 | break; |
| 88 | } |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 89 | default: |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 90 | BOOST_ASSERT_MSG(false, "RefElementwiseWorkload: Not supported Data Type!"); |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 91 | break; |
| 92 | } |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 93 | } |
| 94 | |
| 95 | } |
| 96 | |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 97 | template class armnn::RefElementwiseWorkload<std::plus<float>, |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 98 | armnn::AdditionQueueDescriptor, |
| 99 | armnn::StringMapping::RefAdditionWorkload_Execute>; |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 100 | |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 101 | template class armnn::RefElementwiseWorkload<std::minus<float>, |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 102 | armnn::SubtractionQueueDescriptor, |
| 103 | armnn::StringMapping::RefSubtractionWorkload_Execute>; |
saoste01 | 2df12b3 | 2018-11-28 16:57:20 +0000 | [diff] [blame] | 104 | |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 105 | template class armnn::RefElementwiseWorkload<std::multiplies<float>, |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 106 | armnn::MultiplicationQueueDescriptor, |
| 107 | armnn::StringMapping::RefMultiplicationWorkload_Execute>; |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 108 | |
| 109 | template class armnn::RefElementwiseWorkload<std::divides<float>, |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 110 | armnn::DivisionQueueDescriptor, |
| 111 | armnn::StringMapping::RefDivisionWorkload_Execute>; |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 112 | |
| 113 | template class armnn::RefElementwiseWorkload<armnn::maximum<float>, |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 114 | armnn::MaximumQueueDescriptor, |
| 115 | armnn::StringMapping::RefMaximumWorkload_Execute>; |
Sadik Armagan | ef38d5d | 2019-03-25 09:03:35 +0000 | [diff] [blame] | 116 | |
| 117 | template class armnn::RefElementwiseWorkload<armnn::minimum<float>, |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 118 | armnn::MinimumQueueDescriptor, |
| 119 | armnn::StringMapping::RefMinimumWorkload_Execute>; |