Mercurial > pylearn
view pylearn/dataset_ops/memo.py @ 1417:f49801e39fe3
TensorDataset - added single_shape and batch_size properties
author | James Bergstra <bergstrj@iro.umontreal.ca> |
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date | Fri, 04 Feb 2011 16:02:57 -0500 |
parents | c9ec065ff736 |
children |
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"""Provide a decorator that caches expensive functions """ import logging _logger = logging.getLogger(__file__) info = _logger.info def infop(*args): info(' '.join(str(a) for a in args)) def memo(f): #TODO: support kwargs to rval. This requires looking up the names of f's parameters to # construct a proper key. cache = {} def rval(*args): if args not in cache: cache[args] = f(*args) return cache[args] def forget(): for k in cache.keys(): del cache[k] rval.cache = cache rval.forget = forget rval.__name__ = 'memo@%s'%f.__name__ rval.cache = cache rval.__doc__ = f.__doc__ return rval