commit 7ac3ca67b8b38049ff373c35cdcba18c1d358a46
author Teresa Charlin <teresa.charlinreyes@arm.com> Tue Jul 28 15:17:12 2020 +0100
committer Jim Flynn <jim.flynn@arm.com> Wed Jul 29 15:45:21 2020 +0000
tree c6616dfe206f7c827142732805402eb3f609adc1
parent bbfe603e5ae42317a2b67d713d00882bea341c88

IVGCVSW-5167 Use a generic axis in CL/Neon LogSoftmax and Softmax workload

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id72d2c2851adcc1dd8f00a6103642b16ebe3a964

src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp

diff --git a/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp b/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp
index 058756e..9c8ab07 100644
--- a/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp
+++ b/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp
@@ -23,7 +23,7 @@
     const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
     const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
 
-    int aclAxis = ComputeSoftmaxAclAxis<int>(descriptor, input);
+    int aclAxis = ComputeAclAxis(descriptor.m_Axis, input);
     return arm_compute::NELogSoftmaxLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_Beta, aclAxis);
 }
 
@@ -38,7 +38,7 @@
     arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
 
     auto layer = std::make_unique<arm_compute::NELogSoftmaxLayer>(memoryManager);
-    int aclAxis = ComputeSoftmaxAclAxis<int>(m_Data.m_Parameters, info.m_InputTensorInfos[0]);
+    int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
     layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
     m_LogSoftmaxLayer.reset(layer.release());
 }