Improve performance of RNG sampling routines #613
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This patch improves the speed at which samples are drawn from gaussian distributions. The improvement is activate for matrices with more than 2500 components (roughly 32x32x3 and above). For large matrices (224x224x3 and above) the expected speedup is up to 3x.
This improves the performance of sampling using RNG.uniform(). The speedup is activated for matrices with 12500+ components and is around 2x for large images (224x224x3).
This removes a few ":func:" tags in docstrings for functions that pointed to numpy.
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This patch improves the speed at which samples are drawn from
gaussian distributions. The improvement is activate for matrices
with more than 2500 components (roughly 32x32x3 and above).
For large matrices (224x224x3 and above) the expected speedup is
up to 3x.
This patch also improves the performance of sampling using
RNG.uniform().
The speedup is activated for matrices with 12500+ components
and is around 2x for large images (224x224x3).