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I couldn't understand the exact meaning of Hook in python, tensorflow
_LearningRateSetterHook(tf.train.SessionRun**Hook**):
I would greatly appreciate it if you explain it to me. Thank you
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A hook can tell about additional source files or data files to import, or files not to import. A hook file is a Python script, and can use all Python features. It can also import helper methods from PyInstaller. utils. hooks and useful variables from PyInstaller.
A hook is like a one of those devices that many heroes leave behind in the villain's den to get all the information. You can register a hook on a Tensor or a nn. Module . A hook is basically a function that is executed when the either forward or backward is called.
This could be a more general question about what hooks are.
Hooks are named appropriately in that they allow a way to 'hook into' certain points of the execution of a program. Thus you could trigger a function or logging after a certain part of the code executes.
To give an example I have listed the description of the SessionRunHook that you mentioned along with a link to its documentation. It specifically allows you to 'hook' into the mentioned points.
SessionRunHooks are useful to track training, report progress, request early stopping and more. SessionRunHooks use the observer pattern and notify at the following points:
session.run()
session.run()
A SessionRunHook encapsulates a piece of reusable/composable computation that
can piggyback a call to MonitoredSession.run(). A hook can add any
ops-or-tensor/feeds to the run call, and when the run call finishes with success
gets the outputs it requested. Hooks are allowed to add ops to the graph in
hook.begin(). The graph is finalized after the begin() method is called.
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/training/session_run_hook.py
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