torch.nn.utils.prune.is_pruned¶
- torch.nn.utils.prune.is_pruned(module)[source][source]¶
Check if a module is pruned by looking for pruning pre-hooks.
Check whether
module
is pruned by looking forforward_pre_hooks
in its modules that inherit from theBasePruningMethod
.- 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