imenurok

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import chainer
import chainer.functions as F
import chainer.links as L
import numpy as np

class FRN(chainer.Chain):
    def __init__(self, in_c):

imenurok

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import math
import random
import chainer
import chainer.functions as F
import chainer.links as L
import numpy as np
from chainer import reporter

imenurok

local PReLU, parent = torch.class('nn.NG','nn.Module')

function PReLU:__init(nOutputPlane)
   parent.__init(self)
   -- if no argument provided, use shared model (weight is scalar)
   self.nOutputPlane = nOutputPlane or 0
   self.weight = torch.Tensor(nOutputPlane or 1):fill(0)
   self.gradWeight = torch.Tensor(nOutputPlane or 1)
   self.buf = torch.Tensor()
   self.buf2 = torch.Tensor()