diff options
Diffstat (limited to 'src/armnn/layers/TransposeConvolution2dLayer.cpp')
| -rw-r--r-- | src/armnn/layers/TransposeConvolution2dLayer.cpp | 29 |
1 files changed, 15 insertions, 14 deletions
diff --git a/src/armnn/layers/TransposeConvolution2dLayer.cpp b/src/armnn/layers/TransposeConvolution2dLayer.cpp index 69f598d288..1a994e7442 100644 --- a/src/armnn/layers/TransposeConvolution2dLayer.cpp +++ b/src/armnn/layers/TransposeConvolution2dLayer.cpp @@ -66,26 +66,27 @@ std::vector<TensorShape> TransposeConvolution2dLayer::InferOutputShapes( DataLayoutIndexed dataLayoutIndex(m_Param.m_DataLayout); - unsigned int inBatchSize = inputShape[0]; - unsigned int inWidth = inputShape[dataLayoutIndex.GetWidthIndex()]; - unsigned int inHeight = inputShape[dataLayoutIndex.GetHeightIndex()]; - unsigned int inChannels = inputShape[dataLayoutIndex.GetChannelsIndex()]; + const unsigned int batches = inputShape[0]; + const unsigned int channels = inputShape[dataLayoutIndex.GetChannelsIndex()]; - unsigned int kernelWidth = kernelShape[dataLayoutIndex.GetWidthIndex()]; - unsigned int kernelHeight = kernelShape[dataLayoutIndex.GetHeightIndex()]; + const unsigned int wInput = inputShape[dataLayoutIndex.GetWidthIndex()]; + const unsigned int hInput = inputShape[dataLayoutIndex.GetHeightIndex()]; - unsigned int totalPaddingX = m_Param.m_PadLeft + m_Param.m_PadRight; - unsigned int totalPaddingY = m_Param.m_PadTop + m_Param.m_PadBottom; + const unsigned int wKernel = kernelShape[dataLayoutIndex.GetWidthIndex()]; + const unsigned int hKernel = kernelShape[dataLayoutIndex.GetHeightIndex()]; - unsigned int outWidth = m_Param.m_StrideX * (inWidth + 1) - totalPaddingX + kernelWidth; - unsigned int outHeight = m_Param.m_StrideY * (inHeight + 1) - totalPaddingY + kernelHeight; + const unsigned int wStridedInput = 1u + m_Param.m_StrideX * (wInput - 1); + const unsigned int hStridedInput = 1u + m_Param.m_StrideY * (hInput - 1); - unsigned int outChannels = inChannels; - unsigned int outBatchSize = inBatchSize; + const unsigned int wPaddedOutput = wStridedInput + wKernel - (wKernel % 2); + const unsigned int hPaddedOutput = hStridedInput + hKernel - (hKernel % 2); + + unsigned int wOutput = wPaddedOutput - (m_Param.m_PadLeft + m_Param.m_PadRight); + unsigned int hOutput = hPaddedOutput - (m_Param.m_PadTop + m_Param.m_PadBottom); TensorShape tensorShape = m_Param.m_DataLayout == armnn::DataLayout::NHWC ? - TensorShape( { outBatchSize, outHeight, outWidth, outChannels } ) : - TensorShape( { outBatchSize, outChannels, outHeight, outWidth }); + TensorShape( { batches, hOutput, wOutput, channels } ) : + TensorShape( { batches, channels, hOutput, wOutput }); return std::vector<TensorShape>({ tensorShape }); } |