commit 6f3785d4f612e06854ab63dffbd2cd3d484c2e14
author Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Mon Jul 22 15:30:22 2019 +0100
committer mike.kelly <mike.kelly@arm.com> Mon Jul 22 15:38:48 2019 +0000
tree 71a082042e0c8fd95774ac515812152d1bbade22
parent aab709b3598b07223ba2da1ab8a18f95e30ff70d

IVGCVSW-3548 Use BuildArmComputePadStrideInfo() in CL and NEON convolution workloads

* Refactoring: use existing utility function for creating arm_compute::PadStrideInfo
  objects in CL and NEON convolution workloads instead of duplicating code

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id5e5a0f264e20af99dabce8dd8c6b782dedb94e6

src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp

diff --git a/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp b/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp
index cedfebd..7c07366 100644
--- a/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp
+++ b/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp
@@ -65,14 +65,6 @@
     m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
     BuildArmComputeTensor(*m_WeightsTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);
 
-    arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
-                                             m_Data.m_Parameters.m_StrideY,
-                                             m_Data.m_Parameters.m_PadLeft,
-                                             m_Data.m_Parameters.m_PadRight,
-                                             m_Data.m_Parameters.m_PadTop,
-                                             m_Data.m_Parameters.m_PadBottom,
-                                             arm_compute::DimensionRoundingType::FLOOR);
-
     if (m_Data.m_Parameters.m_BiasEnabled)
     {
         m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
@@ -89,6 +81,7 @@
     input.info()->set_data_layout(aclDataLayout);
     output.info()->set_data_layout(aclDataLayout);
 
+    arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
     m_Layer.configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, padStrideInfo);
 
     InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);