commit c809a29e5d5bd62fac05c7d6059e1fa409ab4dc1
author Teresa Charlin <teresa.charlinreyes@arm.com> Fri Jan 31 10:21:44 2020 +0000
committer TeresaARM <teresa.charlinreyes@arm.com> Fri Jan 31 15:19:37 2020 +0000
tree 3db055cc4eb7185d2e5a29720b96b779685c50d8
parent 681338fdeb6d45dec6b7407df3551aca9a750ef3

IVGCVSW-4388 Update ACL pin to 6a342648ae50beb8457871862f14fc9baef6b74f

!android-nn-driver:2671

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ifeb6be7812fbb98b37f2a1439bfd5a3215de2a62

scripts/get_compute_library.sh

diff --git a/scripts/get_compute_library.sh b/scripts/get_compute_library.sh
index cbcf800..7da0711 100755
--- a/scripts/get_compute_library.sh
+++ b/scripts/get_compute_library.sh
@@ -10,7 +10,7 @@
 #DEFAULT_CLFRAMEWORKREVISION="branches/arm_compute_19_11" # Release 19.11
 #
 # For pinning to a revision use this:
-DEFAULT_CLFRAMEWORKREVISION="19bd412fd044197726dbd8c756dbd74a9e33fd2b" #COMPMID-3022 Fix NEON QASYMM8 Reduction Operation
+DEFAULT_CLFRAMEWORKREVISION="94672fb2af6535adc6ea7fe8b8498580ad8cf3f4" #COMPMID-3003: Integrate assembly kernels utilizing MMLA instruction.
 
 usage() {
     echo "Usage: $CMD (Use the default clframework SHA)"

src/backends/aclCommon/ArmComputeTensorUtils.cpp

diff --git a/src/backends/aclCommon/ArmComputeTensorUtils.cpp b/src/backends/aclCommon/ArmComputeTensorUtils.cpp
index a21de80..d2bb6df 100644
--- a/src/backends/aclCommon/ArmComputeTensorUtils.cpp
+++ b/src/backends/aclCommon/ArmComputeTensorUtils.cpp
@@ -154,15 +154,18 @@
     using arm_compute::PadStrideInfo;
     using arm_compute::PoolingLayerInfo;
     using arm_compute::Size2D;
+    using arm_compute::DataLayout;
 
     // Resolve ARM Compute layer parameters.
     const PoolingType poolingType = ConvertPoolingAlgorithmToAclPoolingType(descriptor.m_PoolType);
 
+    const DataLayout dataLayout = ConvertDataLayout(descriptor.m_DataLayout);
+
     bool isGlobalPooling = (descriptor.m_StrideX==0 && descriptor.m_StrideY==0);
     //use specific constructor if global pooling
     if(isGlobalPooling)
     {
-        return arm_compute::PoolingLayerInfo(poolingType);
+        return arm_compute::PoolingLayerInfo(poolingType, dataLayout);
     }
 
     const DimensionRoundingType rounding = ConvertOutputShapeRoundingToAclDimensionRoundingType(
@@ -179,7 +182,8 @@
 
     const Size2D poolSize(descriptor.m_PoolWidth, descriptor.m_PoolHeight);
 
-    return arm_compute::PoolingLayerInfo(poolingType, poolSize, padStrideInfo, excludePadding, fpMixedPrecision);
+    return arm_compute::PoolingLayerInfo(poolingType, poolSize, dataLayout, padStrideInfo, excludePadding,
+                                         fpMixedPrecision);
 }
 
 arm_compute::NormalizationLayerInfo BuildArmComputeNormalizationLayerInfo(const NormalizationDescriptor& descriptor)