IVGCVSW-3836 Add support for Int32 per-axis scales

* Added ScaledInt32PerAxisDecoder implementation
* Added new case for Signed32 in MakeDecoder that returns a
  ScaledInt32PerAxisDecoder if the tensor info has multiple
  quantization scales

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I8b3c11091644da993044d2a0fe2aba6b06b5af56

1 files changed, 22 insertions, 1 deletions

diff --git a/src/backends/reference/workloads/BaseIterator.hpp b/src/backends/reference/workloads/BaseIterator.hpp
index 9fe3f15f9b..50475312a5 100644
--- a/src/backends/reference/workloads/BaseIterator.hpp
+++ b/src/backends/reference/workloads/BaseIterator.hpp
@@ -451,4 +451,25 @@ private:
     std::vector<float> m_Scale;
 };
 
-} //namespace armnn
\ No newline at end of file
+class ScaledInt32PerAxisDecoder : public PerAxisIterator<const int32_t, Decoder<float>>
+{
+public:
+    ScaledInt32PerAxisDecoder(const int32_t* data, const std::vector<float>& scales, unsigned int axisFactor)
+        : PerAxisIterator(data, axisFactor), m_Scales(scales) {}
+
+    float Get() const override
+    {
+        return armnn::Dequantize(*m_Iterator, m_Scales[m_AxisIndex], 0);
+    }
+
+    // Get scale of the current value
+    float GetScale() const
+    {
+        return m_Scales[m_AxisIndex];
+    }
+
+private:
+    std::vector<float> m_Scales;
+};
+
+} // namespace armnn