Add utility functions and correct tensor dimensions.

Tensor dimensions needed to be reversed since RNN function expect stride 1
in the first dimension.

Remove experimental RNN scripts.

Make inputSize a parameter to the RNN layer and use strings for enum values.

 * add missing cutorch.sychronize() to SpatialConvolution benchmark
 * rename bench to benchSpatial
 * add benchVolumetric

Set weights in __init()

Remove unnecessary input argument to resetIODescriptors

- added new convolution modes
- cleaned up benchVolumetric

Add missing synchronization

test reverted to non-verbose and random optimizer

Return output from RNN:updateOutput and zero cell output.

cuDNN does not set cell output for RNN_RELU so the output was garbage.

Check for nil cx/hx when not training.

Correct self.RNNDesc to self.rnnDesc

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