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authorMatteo Martincigh <matteo.martincigh@arm.com>2019-06-03 09:33:55 +0100
committerMatteo Martincigh <matteo.martincigh@arm.com>2019-06-04 15:13:41 +0000
commit550fe36f687e73c78b57ebfeee9f98fd35f40f24 (patch)
tree02dd160647e5aa63273a03b9d0e56d33fb95a3d6
parentb6441e462e18e7e89c05b098d95dfcede90c9c7f (diff)
downloadarmnn-550fe36f687e73c78b57ebfeee9f98fd35f40f24.tar.gz
Update the CL pin to the latest master
* Updated the pinned CL revision * Changed the type for axis in L2Norm workloads !clframework:d7dd15c445397ab879439de6659859db09f4b752 !android-nn-driver:1268 Change-Id: Ib568869ae8259c4c7d62fc8b434c74a7f8242988 Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
-rwxr-xr-xscripts/get_compute_library.sh4
-rw-r--r--src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp4
-rw-r--r--src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp4
3 files changed, 6 insertions, 6 deletions
diff --git a/scripts/get_compute_library.sh b/scripts/get_compute_library.sh
index 39de20cc11..391168a73b 100755
--- a/scripts/get_compute_library.sh
+++ b/scripts/get_compute_library.sh
@@ -7,10 +7,10 @@
CMD=$( basename $0 )
# For pinnning to a ref use this:
-DEFAULT_CLFRAMEWORKREVISION="branches/arm_compute_19_05" # Release 19.05
+#DEFAULT_CLFRAMEWORKREVISION="branches/arm_compute_19_05" # Release 19.05
#
# For pinning to a revision use this:
-# DEFAULT_CLFRAMEWORKREVISION="050471e40fc58cb5ea745701a43ec5b2b9586b81"
+DEFAULT_CLFRAMEWORKREVISION="d7dd15c445397ab879439de6659859db09f4b752"
usage() {
echo "Usage: $CMD (Use the default clframework SHA)"
diff --git a/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp
index 2226e09964..6ba7ccd8c7 100644
--- a/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp
+++ b/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp
@@ -21,7 +21,7 @@ arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input,
const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
- unsigned int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
+ int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
return arm_compute::CLL2NormalizeLayer::validate(&aclInput, &aclOutput, axis);
}
@@ -39,7 +39,7 @@ ClL2NormalizationFloatWorkload::ClL2NormalizationFloatWorkload(const L2Normaliza
input.info()->set_data_layout(aclDataLayout);
output.info()->set_data_layout(aclDataLayout);
- unsigned int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
+ int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
m_Layer.configure(&input, &output, axis);
}
diff --git a/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp b/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp
index 99bbcfa824..efc21ed112 100644
--- a/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp
+++ b/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp
@@ -22,7 +22,7 @@ arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input,
const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
- unsigned int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
+ int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
return arm_compute::NEL2NormalizeLayer::validate(&aclInput, &aclOutput, axis);
}
@@ -40,7 +40,7 @@ NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload(const L2Norma
input.info()->set_data_layout(aclDataLayout);
output.info()->set_data_layout(aclDataLayout);
- unsigned int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
+ int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
auto layer = std::make_unique<arm_compute::NEL2NormalizeLayer>(memoryManager);
layer->configure(&input, &output, axis);