Skip to main content

a simple tool to compute arbitrary generator in a background thread

Project description

#based on http://stackoverflow.com/questions/7323664/python-generator-pre-fetch

This is a single-function package that transforms arbitrary generator into a background-thead generator that prefetches several batches of data in a parallel background thead.

This is useful if you have a computationally heavy process (CPU or GPU) that iteratively processes minibatches from the generator while the generator consumes some other resource (disk IO / loading from database / more CPU if you have unused cores).

By default these two processes will constantly wait for one another to finish. If you make generator work in prefetch mode (see examples below), they will work in parallel, potentially saving you your GPU time.

We personally use the prefetch generator when iterating minibatches of data for deep learning with tensorflow and theano ( lasagne, blocks, raw, etc.).

This package contains two objects
  • BackgroundGenerator(any_other_generator[,max_prefetch = something])

  • @background([max_prefetch=somethind]) decorator

the usage is either

#for batch in BackgroundGenerator(my_minibatch_iterator): # doit()

or

#@background() #def iterate_minibatches(some_param): # while True: # X = read_heavy_file() # X = do_helluva_math(X) # y = wget_from_pornhub() # do_pretty_much_anything() # yield X_batch, y_batch

More details are written in the BackgroundGenerator doc help(BackgroundGenerator)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prefetch_generator-1.0.0.tar.gz (3.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page