Mark first batch of really slow tests.
Mark some more tests as slow and do some cleanup while there.
Fix huge amount of whitespace in between function arguments in tests.
Tag a bunch of slow tests according to the linux timings.
Attributes on a class can be a source of problems.
Some changes following review
Copy of ops GpuSoftmax and GpuSoftmaxWithBias from theano/sandbox/cuda/nnet.py to theano/sandbox/gpuarray/nnet.py
Copy of tests test_softmax() and test_softmax_with_bias() from theano/sandbox/cuda/tests/test_nnet.py to theano/sandbox/gpuarray/tests/test_nnet.py
Changed parent classes and added methods c_headers() and c_compiler() to ops GpuSoftmax and GpuSoftmaxWithBias.
Changed float to npy_%(dtype)s in ops GpuSoftmax and GpuSoftmaxWithBias.
Convert x->nd to PyGpyArray_NDIM(x) in ops GpuSoftmax and GpuSoftmaxWithBias.
Convert x->nCudaNdarray_HOST_DIMS to PyGpuArray_DIMS in ops GpuSoftmax and GpuSoftmaxWithBias.
Convert CudaNdarray_HOST_STRIDES to PyGpuArray_STRIDES in ops GpuSoftmax and GpuSoftmaxWithBias.
Convert CudaNdarray_DEV_DATA to PyGpuArray_DATA in ops GpuSoftmax and GpuSoftmaxWithBias.
Convert output creation to use pygpu_empty and replace PyArray_DATA with updated code in ops GpuSoftmax and GpuSoftmaxWithBias.
Adapt tests for the ops GpuSoftmax and GpuSoftmaxWithBias and register them in opt.py.
Correct various bugs with ops GpuSoftmax and GpuSoftmaxWithBias. Current version passes tests with float32
Fix crash in AddSD.grad(). Move the c code to another op AddSD_ccode
Add new config variable openmp_minsize
Add openmp to elemwise contiguous case