python-tensorflowHow do I use the module_util module from TensorFlow in Python?

The module_util module from TensorFlow in Python allows you to easily manage the modules in your TensorFlow program. It provides a number of useful functions that can make it easier to work with modules.

For example, to get a list of all the modules in your program, you can use the list_modules() function:

import tensorflow as tf
import module_util

modules = module_util.list_modules()
print(modules)

This will output a list of all the modules in your program:

['tensorflow', 'module_util', ...]

You can also use the load_module() function to load a specific module into your program:

import module_util

my_module = module_util.load_module('my_module')

The module_util module also provides functions to check if a module has been loaded, reload a module, and unload a module.

For more information on the module_util module, see the official TensorFlow documentation.

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