pytorch/caffe2/python/modeling/net_modifier.py
Bugra Akyildiz 27c7158166 Remove __future__ imports for legacy Python2 supports (#45033)
Summary:
There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports:

```2to3 -f future -w caffe2```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033

Reviewed By: seemethere

Differential Revision: D23808648

Pulled By: bugra

fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
2020-09-23 17:57:02 -07:00

36 lines
852 B
Python

import abc
import six
class NetModifier(six.with_metaclass(abc.ABCMeta, object)):
"""
An abstraction class for supporting modifying a generated net.
Inherited classes should implement the modify_net method where
related operators are added to the net.
Example usage:
modifier = SomeNetModifier(opts)
modifier(net)
"""
def __init__(self):
pass
@abc.abstractmethod
def modify_net(self, net, init_net=None, grad_map=None, blob_to_device=None):
pass
def __call__(self, net, init_net=None, grad_map=None, blob_to_device=None,
modify_output_record=False):
self.modify_net(
net,
init_net=init_net,
grad_map=grad_map,
blob_to_device=blob_to_device,
modify_output_record=modify_output_record)