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https://github.com/zebrajr/pytorch.git
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771fcb3455
* [easy] allow empty tensor in cuda relu op The diff has not enabled unit test of empty tensor, because MLKVersion of ReluOp need extra work to support * Make blob norm plotting work with distributed trainer when the old framework is used
36 lines
997 B
Python
36 lines
997 B
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import abc
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import six
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class NetModifier(six.with_metaclass(abc.ABCMeta, object)):
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"""
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An abstraction class for supporting modifying a generated net.
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Inherited classes should implement the modify_net method where
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related operators are added to the net.
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Example usage:
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modifier = SomeNetModifier(opts)
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modifier(net)
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"""
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def __init__(self):
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pass
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@abc.abstractmethod
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def modify_net(self, net, init_net=None, grad_map=None, blob_to_device=None):
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pass
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def __call__(self, net, init_net=None, grad_map=None, blob_to_device=None,
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modify_output_record=False):
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self.modify_net(
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net,
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init_net=init_net,
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grad_map=grad_map,
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blob_to_device=blob_to_device,
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modify_output_record=modify_output_record)
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