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| author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-11-05 18:00:21 +0000 |
|---|---|---|
| committer | Francis Murtagh <francis.murtagh@arm.com> | 2019-11-06 12:10:02 +0000 |
| commit | 5edc8816118fcddb2681379db04c978041ce8b46 (patch) | |
| tree | 22e4382138e9963d0ed3dacefda4fb142877e1fc /include | |
| parent | ec33a91ec1557b78b2d01975ec4c5eaf24aa058c (diff) | |
| download | armnn-5edc8816118fcddb2681379db04c978041ce8b46.tar.gz | |
IVGCVSW-3837 Add support for per-axis quantization to reference Convolution2d workload
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I0ac08ba4864d48e6f64c4ac645dad8ea850be112
Diffstat (limited to 'include')
| -rw-r--r-- | include/armnn/Tensor.hpp | 2 | ||||
| -rw-r--r-- | include/armnn/TypesUtils.hpp | 13 |
2 files changed, 9 insertions, 6 deletions
diff --git a/include/armnn/Tensor.hpp b/include/armnn/Tensor.hpp index 57a243800e..d41cbb4b70 100644 --- a/include/armnn/Tensor.hpp +++ b/include/armnn/Tensor.hpp @@ -97,6 +97,8 @@ public: bool HasMultipleQuantizationScales() const { return m_Quantization.m_Scales.size() > 1; } + bool HasPerAxisQuantization() const; + std::vector<float> GetQuantizationScales() const; void SetQuantizationScales(const std::vector<float>& scales); diff --git a/include/armnn/TypesUtils.hpp b/include/armnn/TypesUtils.hpp index e2294af747..cdcbd3ca9d 100644 --- a/include/armnn/TypesUtils.hpp +++ b/include/armnn/TypesUtils.hpp @@ -102,13 +102,14 @@ constexpr unsigned int GetDataTypeSize(DataType dataType) { switch (dataType) { - case DataType::Float16: return 2U; + case DataType::Float16: return 2U; case DataType::Float32: - case DataType::Signed32: return 4U; - case DataType::QuantisedAsymm8: return 1U; - case DataType::QuantisedSymm16: return 2U; - case DataType::Boolean: return 1U; - default: return 0U; + case DataType::Signed32: return 4U; + case DataType::QuantisedAsymm8: return 1U; + case DataType::QuantizedSymm8PerAxis: return 1U; + case DataType::QuantisedSymm16: return 2U; + case DataType::Boolean: return 1U; + default: return 0U; } } |