IVGCVSW-3831 Add support of per-axis quantization to TensorInfo

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Iea09539c92d51e546fbad8b2903b59fc08d66618

1 files changed, 101 insertions, 15 deletions

diff --git a/src/armnn/Tensor.cpp b/src/armnn/Tensor.cpp
index 614abc77f5..f4b8b509b6 100644
--- a/src/armnn/Tensor.cpp
+++ b/src/armnn/Tensor.cpp
@@ -2,6 +2,7 @@
 // Copyright © 2017 Arm Ltd. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
+
 #include "armnn/Tensor.hpp"
 #include "armnn/Utils.hpp"
 #include "armnn/Exceptions.hpp"
@@ -138,30 +139,57 @@ TensorInfo::TensorInfo()
 {
 }
 
-TensorInfo::TensorInfo(const TensorShape& shape, DataType dataType,
-    float quantizationScale, int32_t quantizationOffset)
- : m_Shape(shape)
- , m_DataType(dataType)
+TensorInfo::TensorInfo(const TensorShape& shape,
+                       DataType dataType,
+                       float quantizationScale,
+                       int32_t quantizationOffset)
+    : m_Shape(shape)
+    , m_DataType(dataType)
+{
+    SetQuantizationScale(quantizationScale);
+    SetQuantizationOffset(quantizationOffset);
+}
+
+TensorInfo::TensorInfo(unsigned int numDimensions,
+                       const unsigned int* dimensionSizes,
+                       DataType dataType,
+                       float quantizationScale,
+                       int32_t quantizationOffset)
+    : m_Shape(numDimensions, dimensionSizes)
+    , m_DataType(dataType)
 {
-    m_Quantization.m_Scale = quantizationScale;
-    m_Quantization.m_Offset = quantizationOffset;
+    SetQuantizationScale(quantizationScale);
+    SetQuantizationOffset(quantizationOffset);
 }
 
-TensorInfo::TensorInfo(unsigned int numDimensions, const unsigned int* dimensionSizes, DataType dataType,
-    float quantizationScale, int32_t quantizationOffset)
- : m_Shape(numDimensions, dimensionSizes)
- , m_DataType(dataType)
+TensorInfo::TensorInfo(const TensorShape& shape,
+                       DataType dataType,
+                       const std::vector<float>& quantizationScales,
+                       unsigned int quantizationDim)
+    : m_Shape(shape)
+    , m_DataType(dataType)
 {
-    m_Quantization.m_Scale = quantizationScale;
-    m_Quantization.m_Offset = quantizationOffset;
+    SetQuantizationScales(quantizationScales);
+    SetQuantizationDim(MakeOptional<unsigned int>(quantizationDim));
+}
+
+TensorInfo::TensorInfo(unsigned int numDimensions,
+                       const unsigned int* dimensionSizes,
+                       DataType dataType,
+                       const std::vector<float>& quantizationScales,
+                       unsigned int quantizationDim)
+    : m_Shape(numDimensions, dimensionSizes)
+    , m_DataType(dataType)
+{
+    SetQuantizationScales(quantizationScales);
+    SetQuantizationDim(MakeOptional<unsigned int>(quantizationDim));
 }
 
 TensorInfo::TensorInfo(const TensorInfo& other)
 : m_Shape(other.m_Shape)
 , m_DataType(other.m_DataType)
 , m_Quantization(other.m_Quantization)
-{
-}
+{}
 
 TensorInfo& TensorInfo::operator=(const TensorInfo& other)
 {
@@ -194,7 +222,7 @@ bool TensorInfo::IsTypeSpaceMatch(const TensorInfo& other) const
 
     match &= m_DataType == other.m_DataType;
 
-    if (IsQuantized())
+    if (IsQuantized() && !HasMultipleQuantizationScales())
     {
         match &= GetQuantizationScale() == other.GetQuantizationScale() &&
                  GetQuantizationOffset() == other.GetQuantizationOffset();
@@ -202,6 +230,64 @@ bool TensorInfo::IsTypeSpaceMatch(const TensorInfo& other) const
     return match;
 }
 
+std::vector<float> TensorInfo::GetQuantizationScales() const
+{
+    return m_Quantization.m_Scales;
+}
+
+void TensorInfo::SetQuantizationScales(const std::vector<float>& scales)
+{
+    m_Quantization.m_Scales = scales;
+}
+
+float TensorInfo::GetQuantizationScale() const
+{
+    if (m_Quantization.m_Scales.empty())
+    {
+        // NOTE: old default for backward compatibility
+        return 1.0f;
+    }
+
+    BOOST_ASSERT(!HasMultipleQuantizationScales());
+    return m_Quantization.m_Scales[0];
+}
+
+void TensorInfo::SetQuantizationScale(float scale)
+{
+    m_Quantization.m_Scales = { scale };
+}
+
+int32_t TensorInfo::GetQuantizationOffset() const
+{
+    if (!m_Quantization.m_Offset.has_value())
+    {
+        // NOTE: old default for backward compatibility
+        return 0;
+    }
+
+    return m_Quantization.m_Offset.value();
+}
+
+void TensorInfo::SetQuantizationOffset(int32_t offset)
+{
+    m_Quantization.m_Offset = MakeOptional<int32_t>(offset);
+}
+
+Optional<unsigned int> TensorInfo::GetQuantizationDim() const
+{
+    return m_Quantization.m_QuantizationDim;
+}
+
+void TensorInfo::SetQuantizationDim(const Optional<unsigned int>& quantizationDim)
+{
+    m_Quantization.m_QuantizationDim = quantizationDim;
+}
+
+bool TensorInfo::IsQuantized() const
+{
+    return m_DataType == DataType::QuantisedAsymm8 || m_DataType == DataType::QuantisedSymm16;
+}
+
 // ---
 // --- BaseTensor
 // ---