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/ClConvolution2dWorkload.cpp

diff --git a/src/backends/cl/workloads/ClConvolution2dWorkload.cpp b/src/backends/cl/workloads/ClConvolution2dWorkload.cpp
index 3b6aa6c..e8af0ee 100644
--- a/src/backends/cl/workloads/ClConvolution2dWorkload.cpp
+++ b/src/backends/cl/workloads/ClConvolution2dWorkload.cpp
@@ -66,14 +66,6 @@
     m_KernelTensor = std::make_unique<arm_compute::CLTensor>();
     BuildArmComputeTensor(*m_KernelTensor, 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);
-
     const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(m_Data.m_Parameters.m_DilationX,
                                                                       m_Data.m_Parameters.m_DilationY);
 
@@ -92,6 +84,8 @@
     input.info()->set_data_layout(aclDataLayout);
     output.info()->set_data_layout(aclDataLayout);
 
+    arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
+
     m_ConvolutionLayer.configure(&input,
                                  m_KernelTensor.get(),
                                  m_BiasTensor.get(),