pip install tf-lazy-loader
from tf_lazy_loader import dynamic_import
# Lazily import the "os" module
os = dynamic_import("os")
# Trigger the actual import by referencing a name in the "os" module:
print(os.environ)
You can set the lazy arg of the dynamic_import function to False to eagerly import the given module. This can be useful if you only want to perform lazy imports based on a flag.
For example, if you have a Django project and you only want to enable lazy imports when in DEBUG mode, and do imports eagerly in production, you would do something like this:
from django.conf import settings
DEBUG = settings.DEBUG
os = dynamic_import("os", lazy=DEBUG)
FAQs
Lazy loading of Python modules, based on TensorFlow's LazyLoader util.
We found that tf-lazy-loader demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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