diff options
Diffstat (limited to 'src/backends')
-rw-r--r-- | src/backends/reference/workloads/BaseIterator.hpp | 114 | ||||
-rw-r--r-- | src/backends/reference/workloads/Decoders.hpp | 11 | ||||
-rw-r--r-- | src/backends/reference/workloads/Encoders.hpp | 11 |
3 files changed, 133 insertions, 3 deletions
diff --git a/src/backends/reference/workloads/BaseIterator.hpp b/src/backends/reference/workloads/BaseIterator.hpp index 18270faf46..9fe3f15f9b 100644 --- a/src/backends/reference/workloads/BaseIterator.hpp +++ b/src/backends/reference/workloads/BaseIterator.hpp @@ -339,4 +339,116 @@ public: } }; -} //namespace armnn +// PerAxisIterator for per-axis quantization +template<typename T, typename Base> +class PerAxisIterator : public Base +{ +public: + // axisFactor is used to calculate axisIndex + PerAxisIterator(T* data = nullptr, unsigned int axisFactor = 0) + : m_Iterator(data), m_Start(data), m_AxisIndex(0), m_AxisFactor(axisFactor) + {} + + // This should be called to set index for per-axis Encoder/Decoder + PerAxisIterator& SetIndex(unsigned int index, unsigned int axisIndex) + { + BOOST_ASSERT(m_Iterator); + m_Iterator = m_Start + index; + m_AxisIndex = axisIndex; + return *this; + } + + void Reset(void* data) override + { + m_Iterator = reinterpret_cast<T*>(data); + m_Start = m_Iterator; + m_AxisIndex = 0; + } + + PerAxisIterator& operator++() override + { + BOOST_ASSERT(m_Iterator); + ++m_Iterator; + m_AxisIndex = static_cast<unsigned int>(*m_Iterator) % m_AxisFactor; + return *this; + } + + PerAxisIterator& operator+=(const unsigned int increment) override + { + BOOST_ASSERT(m_Iterator); + m_Iterator += increment; + m_AxisIndex = static_cast<unsigned int>(*m_Iterator) % m_AxisFactor; + return *this; + } + + PerAxisIterator& operator-=(const unsigned int decrement) override + { + BOOST_ASSERT(m_Iterator); + m_Iterator -= decrement; + m_AxisIndex = static_cast<unsigned int>(*m_Iterator) % m_AxisFactor; + return *this; + } + + PerAxisIterator& operator[](const unsigned int index) override + { + BOOST_ASSERT(m_Iterator); + m_Iterator = m_Start + index; + m_AxisIndex = static_cast<unsigned int>(*m_Iterator) % m_AxisFactor; + return *this; + } + + protected: + T* m_Iterator; + T* m_Start; + unsigned int m_AxisIndex; + unsigned int m_AxisFactor; +}; + +class QSymm8PerAxisDecoder : public PerAxisIterator<const int8_t, Decoder<float>> +{ +public: + QSymm8PerAxisDecoder(const int8_t* data, const std::vector<float>& scale, unsigned int axisFactor) + : PerAxisIterator(data, axisFactor), m_Scale(scale) {} + + float Get() const override + { + return armnn::Dequantize(*m_Iterator, m_Scale[m_AxisIndex], 0); + } + + // Get scale of the current value + float GetScale() const + { + return m_Scale[m_AxisIndex]; + } + +private: + std::vector<float> m_Scale; +}; + +class QSymm8PerAxisEncoder : public PerAxisIterator<int8_t, Encoder<float>> +{ +public: + QSymm8PerAxisEncoder(int8_t* data, const std::vector<float>& scale, unsigned int axisFactor) + : PerAxisIterator(data, axisFactor), m_Scale(scale) {} + + void Set(float right) + { + *m_Iterator = armnn::Quantize<int8_t>(right, m_Scale[m_AxisIndex], 0); + } + + float Get() const + { + return armnn::Dequantize(*m_Iterator, m_Scale[m_AxisIndex], 0); + } + + // Get scale of the current value + float GetScale() const + { + return m_Scale[m_AxisIndex]; + } + +private: + std::vector<float> m_Scale; +}; + +} //namespace armnn
\ No newline at end of file diff --git a/src/backends/reference/workloads/Decoders.hpp b/src/backends/reference/workloads/Decoders.hpp index 328a5eb0f7..dd2b28a50f 100644 --- a/src/backends/reference/workloads/Decoders.hpp +++ b/src/backends/reference/workloads/Decoders.hpp @@ -7,6 +7,7 @@ #include "BaseIterator.hpp" #include "FloatingPointConverter.hpp" +#include "TensorUtils.hpp" #include <boost/assert.hpp> @@ -21,6 +22,14 @@ inline std::unique_ptr<Decoder<float>> MakeDecoder(const TensorInfo& info, const { switch(info.GetDataType()) { + case armnn::DataType::QuantizedSymm8PerAxis: + { + std::pair<unsigned int, std::vector<float>> params = armnnUtils::GetPerAxisParams(info); + return std::make_unique<QSymm8PerAxisDecoder>( + static_cast<const int8_t*>(data), + params.second, + params.first); + } case DataType::QuantisedAsymm8: { return std::make_unique<QASymm8Decoder>( @@ -55,7 +64,7 @@ inline std::unique_ptr<Decoder<float>> MakeDecoder(const TensorInfo& info, const } default: { - BOOST_ASSERT_MSG(false, "Not supported Data Type!"); + BOOST_ASSERT_MSG(false, "Unsupported Data Type!"); break; } } diff --git a/src/backends/reference/workloads/Encoders.hpp b/src/backends/reference/workloads/Encoders.hpp index 2b3a11af06..5c0cffa7ca 100644 --- a/src/backends/reference/workloads/Encoders.hpp +++ b/src/backends/reference/workloads/Encoders.hpp @@ -6,6 +6,7 @@ #pragma once #include "BaseIterator.hpp" +#include "TensorUtils.hpp" #include <boost/assert.hpp> @@ -20,6 +21,14 @@ inline std::unique_ptr<Encoder<float>> MakeEncoder(const TensorInfo& info, void* { switch(info.GetDataType()) { + case armnn::DataType::QuantizedSymm8PerAxis: + { + std::pair<unsigned int, std::vector<float>> params = armnnUtils::GetPerAxisParams(info); + return std::make_unique<QSymm8PerAxisEncoder>( + static_cast<int8_t*>(data), + params.second, + params.first); + } case armnn::DataType::QuantisedAsymm8: { return std::make_unique<QASymm8Encoder>( @@ -48,7 +57,7 @@ inline std::unique_ptr<Encoder<float>> MakeEncoder(const TensorInfo& info, void* } default: { - BOOST_ASSERT_MSG(false, "Cannot encode from float. Not supported target Data Type!"); + BOOST_ASSERT_MSG(false, "Unsupported target Data Type!"); break; } } |