#extracunn
This package contains cuda implementations for various layers:
- SpatialConvolutionNoBias: convolutional layer without bias, useful for e.g. gated operations in spatial LSTM cells. Note that currently the SpatialConvolution layer in torch has the option noBias(), which can be used instead of this layer.
- Huber penalty: penalise for non-smoothness.
- MSSECriterion: scale-invariant loss layer, useful for e.g. depth estimation. Implementation from Eigen's paper. Note that the error is computed between log ground truth and log prediction.
- InterleaveTable: interleave elements of
ntables, each one containinglengthelements. - SplitTableMultiple: split a tensor into tensors of
kelements each; fork=1, this is the same as SplitTable. - SpatialSkew: skew input feature maps to the right; each row is shifted by one position wrt previous row.
- SpatialUnskew: undo the effect of SpatialSkew.
- SpatialMirrorHorizontal: mirror input tensor along central vertical axis.
- SpatialMirrorVertical: mirror input tensor along central horizontal axis.
- SpatialMirrorDiagonal: SpatialMirrorHorizontal + SpatialMirrorVertical done in one step for efficiency.
####Installation
Type 'luarocks make' inside the directory to install this package.