From ddb1d06dbcb5dc4a89a237ac1176279669817f46 Mon Sep 17 00:00:00 2001
From: Francis Murtagh <francis.murtagh@arm.com>
Date: Tue, 10 Mar 2020 13:51:45 +0000
Subject: MLCE-159 Add QAsymmS8 to ArmnnQuantizer

 * Allow per layer quantization from Fp32 to Int8 (QAsymmS8) like TfLite

Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I5bbf770aa29d81af3568c15b47d2b2c18e55bb28
---
 src/backends/backendsCommon/WorkloadData.cpp | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

(limited to 'src/backends/backendsCommon/WorkloadData.cpp')

diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp
index dbd1158380..bb0c21ffba 100644
--- a/src/backends/backendsCommon/WorkloadData.cpp
+++ b/src/backends/backendsCommon/WorkloadData.cpp
@@ -994,6 +994,7 @@ void FullyConnectedQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c
     {
         DataType::Float32,
         DataType::Float16,
+        DataType::QAsymmS8,
         DataType::QAsymmU8,
         DataType::QSymmS16
     };
@@ -1183,8 +1184,8 @@ void Convolution2dQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) co
     std::vector<DataType> supportedTypes =
     {
         DataType::Float32,
-        DataType::QAsymmU8,
         DataType::QAsymmS8,
+        DataType::QAsymmU8,
         DataType::QSymmS16,
         DataType::QSymmS8,
         DataType::Float16
-- 
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