Corrected getParameters() documentation.
Fixed nn.Copy with default arguments.
Merge pull request #114 from fidlej/topic_getParameters_dok

Corrected getParameters() documentation.
Merge pull request #115 from fidlej/topic_Copy

Fixed nn.Copy with default arguments.
Fixed path assert (to be compatible with LuaJIT).
Linear:updateGradInput avoids NaN and inf

The resize in Linear:updateGradInput can introduce NaN and inf into the
gradients. The resize itself leaves garbage in the gradInput tensor.
For normal numbers the subsequent addmm/addmv will clear the garbage.
However, if gradInput contains either nan or inf after the resize, the
multiply will result in nan instead of the desired result.
CMulTable updateGradInput now uses proper but slow gradient calculation. The old one is available in updateGradInput_efficient function.
Integrated CUDA conv routines from cuda-convnet library.
Skeleton for Max pooling.
Added Max Pooling for CUDA.
make print function print detailed information on torch class instances.
Added Bias to SpatialConvolutionCUDA.
Merge branch 'cudaconv'
Merge branch 'master' of github.com:andresy/torch
Added reference to Alex's code.
Correct implementation of SpatialMaxPoolingCUDA (Sixin's port)
Sped up getParameters() in simple situations.
fine tune printing a bit more
Merge branch 'master' of github.com:andresy/torch
Merge pull request #117 from akfidjeland/linear_nan

Linear:updateGradInput avoids NaN and inf