[Numpy-discussion] lazy evaluation

James Bergstra bergstrj@iro.umontreal...
Mon Jun 11 10:41:05 CDT 2012

On Mon, Jun 11, 2012 at 12:03 AM, James Bergstra
<bergstrj@iro.umontreal.ca> wrote:
> If anyone is interested in my ongoing API & bytecode adventure in why
> / how lazy computing could be useful, I've put together a few tiny
> hypothetically-runnable examples here:
> https://github.com/jaberg/numba/tree/master/examples
> https://github.com/jaberg/numba/blob/master/examples/linear_svm.py
> https://github.com/jaberg/numba/blob/master/examples/mcmc.py
> The purpose of the examples is to show how the features of e.g. Theano
> and PyMC could be expressed as operators on raw Python code. Perhaps
> most importantly of all, these transforms would work together: a PaCal
> transform could automatically generate a likelihood function from a
> model and data, and then a Theano transform could provide the
> parameter gradients required to fit the likelihood. This natural
> chaining is a complete PITA when every project uses its own AST.
> That numba fork also includes very sketchy pseudocode of the main work
> routines in the numba/ad.py and numba/rv.py files. The linear_svm
> example was recently using Theano as a backend. I don't think it works
> right now but FWIW it is still close to running.

For those interested, the linear_svm example works again.


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