torch.nn.utils.prune.is_pruned
torch.nn.utils.prune.is_pruned(module)
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 ]-



from torch.nn.utils import prune
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


