torch.nn.utils.prune.is_pruned  
torch.nn.utils.prune.is_pruned(module) [source]
 
Check whether module is pruned by looking for forward_pre_hooks in its modules that inherit from the BasePruningMethod.  Parameters 
module (nn.Module) – object that is either pruned or unpruned  Returns 
binary answer to whether module is pruned.   Examples >>> m = nn.Linear(5, 7)
>>> print(prune.is_pruned(m))
False
>>> prune.random_unstructured(m, name='weight', amount=0.2)
>>> print(prune.is_pruned(m))
True
 


    
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