diff options
Diffstat (limited to 'src/armnn/layers/DepthwiseConvolution2dLayer.cpp')
| -rw-r--r-- | src/armnn/layers/DepthwiseConvolution2dLayer.cpp | 13 |
1 files changed, 5 insertions, 8 deletions
diff --git a/src/armnn/layers/DepthwiseConvolution2dLayer.cpp b/src/armnn/layers/DepthwiseConvolution2dLayer.cpp index b96c567504..ed52b39050 100644 --- a/src/armnn/layers/DepthwiseConvolution2dLayer.cpp +++ b/src/armnn/layers/DepthwiseConvolution2dLayer.cpp @@ -98,24 +98,21 @@ DepthwiseConvolution2dLayer::InferOutputShapes(const std::vector<TensorShape>& i unsigned int inputBatchSize = inputShape[0]; unsigned int inputHeight = inputShape[dataLayoutIndex.GetHeightIndex()]; unsigned int inputWidth = inputShape[dataLayoutIndex.GetWidthIndex()]; - unsigned int inputChannels = inputShape[dataLayoutIndex.GetChannelsIndex()]; - // Expected filter shape: [ M, I, H, W ] - This shape does NOT depend on the data layout - // Namely: [ depth multiplier, input channels, filter height, filter width ] - // Output channels = input channels * depthMultiplier - unsigned int depthMultiplier = filterShape[0]; + // Expected filter shape: [ 1, H, W, O ] - This shape does NOT depend on the data layout + // Namely: [ 1, filter height, filter width, output channels ] - unsigned int filterHeight = filterShape[2]; + unsigned int filterHeight = filterShape[1]; unsigned int dilatedFilterHeight = filterHeight + (m_Param.m_DilationY - 1) * (filterHeight - 1); unsigned int readHeight = (inputHeight + m_Param.m_PadTop + m_Param.m_PadBottom) - dilatedFilterHeight; unsigned int outputHeight = 1 + (readHeight / m_Param.m_StrideY); - unsigned int filterWidth = filterShape[3]; + unsigned int filterWidth = filterShape[2]; unsigned int dilatedFilterWidth = filterWidth + (m_Param.m_DilationX - 1) * (filterWidth - 1); unsigned int readWidth = (inputWidth + m_Param.m_PadLeft + m_Param.m_PadRight) - dilatedFilterWidth; unsigned int outputWidth = 1 + (readWidth / m_Param.m_StrideX); - unsigned int outputChannels = inputChannels * depthMultiplier; + unsigned int outputChannels = filterShape[3]; unsigned int outputBatchSize = inputBatchSize; TensorShape tensorShape = m_Param.m_DataLayout == armnn::DataLayout::NHWC ? |