(small fix) Add doc for `dnn.include_path` and `dnn.library_path`.

Split long-running test so that it helps travis not to give up

Fix offset problems in the new backend.

Fix issue in optimizations with bitwise operations

Port Softmax kernel to OpenCL

All tests in test_nnet.py pass with CUDA.
Only fp32 tests in test_nnet.py pass with OpenCL. GpuFromHost doesn't work with fp16 or fp64.
Larger work item size doesn't improve performance.
Add 2 local_barrier(), it's strange that AMD card doesn't need these local_barrier(), but they are necessary for NVIDIA cards.

0 or 1 are not converted to boolean types if that is what
the user would want.

This also reflects the difference between bool and int8

Since tensor.or_ and tensor.and_ are bitwise operations
(for non-booleans at least), some "logical" simplifications are wrong.

Fix link to 2014 presentation

(small fix) Re-allow runtime algorithms for conv3d Ops.

Function that check the axes

Jenkins python3 add fastrun and gpuarray

Fix doc typos and spelling errors. Make spelling of "optimize" consistent.

(small fix) update usage of `dnn.enabled`

max work item size on my ocl device(not too old) is 256

Wrap Op params for theano.sandbox.rng_mrg.mrg_uniform