Complete (and final) revamping of the CUDA rand engine.
New:
* based 100% on CuRand
* reproduced seed interface from Torch:
cutorch.manualSeed(seed) : set a seed for repeatable experiments
seed = cutorch.initialSeed() : retrieve initial seed
cutorch.seed() : force seeding (this is done once on startup)
* I only implemented the distributions that were meaningful
for floating point tensors (CUDA is float only for now):
uniform(a,b)
normal(mean,std)
logNormal(mean,std)
bernoulli(p)
cauchy(median,sigma)
exponential(lambda)
geometric(p)
3 files changed
