29 lines
1.1 KiB
Lua
29 lines
1.1 KiB
Lua
-- RandomBinaryConvolution.lua
|
|
-- from https://github.com/juefeix/lbcnn.torch
|
|
|
|
local THNN = require 'nn.THNN'
|
|
local RandomBinaryConvolution, parent = torch.class('w2nn.RandomBinaryConvolution', 'nn.SpatialConvolution')
|
|
|
|
function RandomBinaryConvolution:__init(nInputPlane, nOutputPlane, kW, kH, kSparsity)
|
|
self.kSparsity = kSparsity or 0.9
|
|
parent.__init(self, nInputPlane, nOutputPlane, kW, kH, 1, 1, 0, 0)
|
|
self:reset()
|
|
end
|
|
function RandomBinaryConvolution:reset()
|
|
local numElements = self.nInputPlane*self.nOutputPlane*self.kW*self.kH
|
|
self.weight:fill(0)
|
|
self.weight = torch.reshape(self.weight,numElements)
|
|
local index = torch.Tensor(torch.floor(self.kSparsity*numElements)):random(numElements)
|
|
for i = 1, index:numel() do
|
|
self.weight[index[i]] = torch.bernoulli(0.5)*2-1
|
|
end
|
|
self.weight = torch.reshape(self.weight,self.nOutputPlane,self.nInputPlane,self.kW,self.kH)
|
|
self.bias = nil
|
|
self.gradBias = nil
|
|
self.gradWeight:fill(0)
|
|
end
|
|
function RandomBinaryConvolution:accGradParameters(input, gradOutput, scale)
|
|
end
|
|
function RandomBinaryConvolution:updateParameters(learningRate)
|
|
end
|