torch.nn.utils.prune.remove
torch.nn.utils.prune.remove(module, name)
Removes the pruning reparameterization from a module and the
   pruning method from the forward hook. The pruned parameter named
   "name" remains permanently pruned, and the parameter named
   "name+'_orig'" is removed from the parameter list. Similarly, the
   buffer named "name+'_mask'" is removed from the buffers.
Note:
 Pruning itself is NOT undone or reversed!

Parameters:
      * module (nn.Module) -- module containing the tensor to
        prune
  * **name** (*str*) -- parameter name within "module" on which
    pruning will act.

-[ Examples ]-



m = random_unstructured(nn.Linear(5, 7), name='weight', amount=0.2)
m = remove(m, name='weight')


