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| author | Matthew Bentham <Matthew.Bentham@arm.com> | 2019-05-10 16:55:23 +0100 |
|---|---|---|
| committer | Matteo Martincigh <matteo.martincigh@arm.com> | 2019-05-13 16:41:01 +0000 |
| commit | 49cb7d0568b7d4c81889a1791a4ca4e6bd5c8f32 (patch) | |
| tree | 5ca466f7452d14de6e2f7ef1c8666ccbbd897b6b | |
| parent | f0bd68386cc8598f702b1df2d1ba60094e6a9d97 (diff) | |
| download | armnn-49cb7d0568b7d4c81889a1791a4ca4e6bd5c8f32.tar.gz | |
MLCE-101 Add dilation support to reference backend
Change-Id: I6d1ea80c9fabd8c50ee030272c51cb66e85e431d
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
| -rw-r--r-- | src/backends/reference/test/RefLayerTests.cpp | 2 | ||||
| -rw-r--r-- | src/backends/reference/workloads/ConvImpl.hpp | 6 |
2 files changed, 6 insertions, 2 deletions
diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp index b2600029b1..01afff8b02 100644 --- a/src/backends/reference/test/RefLayerTests.cpp +++ b/src/backends/reference/test/RefLayerTests.cpp @@ -81,6 +81,8 @@ ARMNN_AUTO_TEST_CASE(UnbiasedDepthwiseConvolution2dUint8Nhwc, DepthwiseConvolution2dUint8Test, false, armnn::DataLayout::NHWC) +ARMNN_AUTO_TEST_CASE(SimpleDepthwiseConvolution2d3x3Dilation3x3Nhwc, + SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest) ARMNN_AUTO_TEST_CASE(DepthwiseConvolution2dDepthMul1, diff --git a/src/backends/reference/workloads/ConvImpl.hpp b/src/backends/reference/workloads/ConvImpl.hpp index 5c07f57ec0..23b402aa77 100644 --- a/src/backends/reference/workloads/ConvImpl.hpp +++ b/src/backends/reference/workloads/ConvImpl.hpp @@ -97,6 +97,8 @@ static void ConvImpl(ConvData data, unsigned int paddingLeft = data.m_Parameters.m_PadLeft; unsigned int xStride = data.m_Parameters.m_StrideX; unsigned int yStride = data.m_Parameters.m_StrideY; + unsigned int xDilation = data.m_Parameters.m_DilationX; + unsigned int yDilation = data.m_Parameters.m_DilationY; // The world's least efficient convolution. for (unsigned int batchIdx = 0; batchIdx < batchSize; batchIdx++) @@ -158,8 +160,8 @@ static void ConvImpl(ConvData data, AccumulatorType filterValue = filterData[filterIndex] - boost::numeric_cast<AccumulatorType>(filterOffset); - unsigned int yInput = yOutput * yStride + yFilter; - unsigned int xInput = xOutput * xStride + xFilter; + unsigned int yInput = yOutput * yStride + yFilter * yDilation; + unsigned int xInput = xOutput * xStride + xFilter * xDilation; AccumulatorType inputValue; |