Files
pytorch/torch/legacy/nn/RReLU.py
Luke Yeager e7c1e6a8e3 [pep8] Fix most lint automatically with autopep8
Here's the command I used to invoke autopep8 (in parallel!):

    git ls-files | grep '\.py$' | xargs -n1 -P`nproc` autopep8 -i

Several rules are ignored in setup.cfg. The goal is to let autopep8
handle everything which it can handle safely, and to disable any rules
which are tricky or controversial to address. We may want to come back
and re-enable some of these rules later, but I'm trying to make this
patch as safe as possible.

Also configures flake8 to match pep8's behavior.

Also configures TravisCI to check the whole project for lint.
2017-01-28 01:15:51 +01:00

52 lines
1.4 KiB
Python

import torch
from .Module import Module
from .utils import clear
class RReLU(Module):
def __init__(self, lower=1. / 8, upper=1. / 3, inplace=False):
super(RReLU, self).__init__()
self.lower = lower
self.upper = upper
self.inplace = inplace
assert self.lower <= self.upper and self.lower >= 0 and self.upper >= 0
self.noise = torch.Tensor()
self.train = True
def updateOutput(self, input):
self._backend.RReLU_updateOutput(
self._backend.library_state,
input,
self.output,
self.noise,
self.lower,
self.upper,
self.train,
self.inplace,
torch.default_generator if not input.is_cuda else 0
)
return self.output
def updateGradInput(self, input, gradOutput):
self._backend.RReLU_updateGradInput(
self._backend.library_state,
input,
gradOutput,
self.gradInput,
self.noise,
self.lower,
self.upper,
self.train,
self.inplace
)
return self.gradInput
def __repr__(self):
return super(RReLU, self).__repr__() + '({:.4f}, {:.4f})'.format(self.lower, self.upper)
def clearState(self):
clear(self, 'noise')
return super(RReLU, self).clearState()