Ops rewritten:

 - GpuDnnConvDesc
 - GpuDnnPool
 - GpuDnnPoolGrad
 - GpuDnnConv
 - GpuDnnConvGradW
 - GpuDnnConvGradI
 - GpuDnnBatchNormInference
 - GpuDnnBatchNormGrad

cuDNN v6 integration:

 - Support MAX DETERMINISTIC algorithm for GpuDnnPool with cuDNN v6.
 - Update pooling tests for DNN module so that they use the right available algorithms depending on runtime cuDNN version.
 - Allow CPU Pool and PoolGrad ops to use MAX_DETERMINISTIC algo when cuDNN v6 is used with GPU counterparts.
 - Encapsulate cuDNN constants used in DNN module, to help choose the right cuDNN definitions depending on the runtime cuDNN version.
   Currently supported cuDNN versions: v5.1, v6.0.

Do not forget offset in GpuCumOp

crash fix and opt warning fix(make opt apply)

outdim -> ndim leftover and the same to is_flat

Wrap Op params for theano.tensor.nnet.corr.BaseCorrMM and sub-classes.

Fix the opt crash regression introduced by gh-5950.

Add Cudnn version to Theano cache key to the handle_type and _RNNSplitParams. Theano was trying to reload wrong cmodule and crash. For order of code, I needed to move much code around, but that moved coded didn't changed

Wrap Op params for theano.tensor.nnet.corr3d.BaseCorr3dMM and subclasses.

Add support for cudnn v6 dilated convolution.

 - direction (enum list)
 - dH, dW, dD: int64
 - dilH, dilW, dilD: int64
 - padH, padW, padD: int64

This influences all sub-classes:
 - theano.tensor.nnet.corr3d.Corr3dMM
 - theano.tensor.nnet.corr3d.Corr3dMM_gradWeights
 - theano.tensor.nnet.corr3d.Corr3dMM_gradInputs

Test for fix in libgpuarray, plus fix in batched_dot opt

Fix jenkins tests

Give a good error when people use device=gpu

Update nnet.txt

Fixes mismatch between the formula in implemented function in the docs

Small code refactor to remove duplicate code. This make sure the new cast is also done in both branch.

Partially factorize GpuKernelBase.get_params() and configure it to use ParamsType.

remove theano/compat/six.py