streamline CUDA error handling
extended and revised README
added attribution to Caffe
revised initialization

The user can now specify GPU device using the environment variable
CUDARRAY_DEVICE. Default value is '0'.
Merge branch 'master' of github.com:andersbll/cudarray
revised installation instructions
CUDA_DIR -> CUDA_PREFIX
cleanup
cuDNN operations made default with automatic fall-back
minor
removed nvcc flag --use_fast_math
It is not NumPy compatible. E.g. powf() with a negative base.
elementwise scalar ops: cast scalar to array data type on the CPU
Conv Seg layer
Conv seg
conv Back prop
Stride option added to pool
print and test inputs
Fragments based on stride
merge