| Copyright | (c) Sam Stites 2017 |
|---|---|
| License | BSD3 |
| Maintainer | sam@stites.io |
| Stability | experimental |
| Portability | non-portable |
| Safe Haskell | None |
| Language | Haskell2010 |
Torch.Indef.Static.NN.Padding
Description
Synopsis
- _spatialReflectionPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> IO ()
- _spatialReflectionPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> IO ()
- _spatialReplicationPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> IO ()
- _spatialReplicationPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> IO ()
- _volumetricReplicationPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> Int -> Int -> IO ()
- _volumetricReplicationPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> Int -> Int -> IO ()
- _temporalReflectionPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> IO ()
- _temporalReflectionPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> IO ()
- _temporalReplicationPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> IO ()
- _temporalReplicationPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> IO ()
Documentation
_spatialReflectionPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> IO () Source #
spatialReflectionPadding forward pass (updates the output tensor)
_spatialReflectionPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> IO () Source #
spatialReflectionPadding backward-update (updates the layer and bias tensors)
_spatialReplicationPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> IO () Source #
spatialReplicationPadding forward pass (updates the output tensor)
_spatialReplicationPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> IO () Source #
spatialReplicationPadding backward-update (updates the layer and bias tensors)
_volumetricReplicationPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> Int -> Int -> IO () Source #
volumetricReplicationPadding forward pass (updates the output tensor)
_volumetricReplicationPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> Int -> Int -> Int -> Int -> IO () Source #
volumetricReplicationPadding backward-update (updates the layer and bias tensors)
_temporalReflectionPadding_updateOutput :: Tensor d -> Tensor d -> Int -> Int -> IO () Source #
temporalReflectionPadding forward pass (updates the output tensor)
_temporalReflectionPadding_updateGradInput :: Tensor d -> Tensor d -> Tensor d -> Int -> Int -> IO () Source #
temporalReflectionPadding backward-update (updates the layer and bias tensors)