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| author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-07-22 15:30:22 +0100 |
|---|---|---|
| committer | mike.kelly <mike.kelly@arm.com> | 2019-07-22 15:38:48 +0000 |
| commit | 6f3785d4f612e06854ab63dffbd2cd3d484c2e14 (patch) | |
| tree | 71a082042e0c8fd95774ac515812152d1bbade22 /src/backends/cl/workloads/ClConvolution2dWorkload.cpp | |
| parent | aab709b3598b07223ba2da1ab8a18f95e30ff70d (diff) | |
| download | armnn-6f3785d4f612e06854ab63dffbd2cd3d484c2e14.tar.gz | |
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
Diffstat (limited to 'src/backends/cl/workloads/ClConvolution2dWorkload.cpp')
| -rw-r--r-- | src/backends/cl/workloads/ClConvolution2dWorkload.cpp | 10 |
1 files changed, 2 insertions, 8 deletions
diff --git a/src/backends/cl/workloads/ClConvolution2dWorkload.cpp b/src/backends/cl/workloads/ClConvolution2dWorkload.cpp index 3b6aa6cd7c..e8af0ee3b7 100644 --- a/src/backends/cl/workloads/ClConvolution2dWorkload.cpp +++ b/src/backends/cl/workloads/ClConvolution2dWorkload.cpp @@ -66,14 +66,6 @@ ClConvolution2dWorkload::ClConvolution2dWorkload(const Convolution2dQueueDescrip 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 @@ ClConvolution2dWorkload::ClConvolution2dWorkload(const Convolution2dQueueDescrip 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(), |