From 0d3d8f4afdc38726b8ed933dbfcb85e759145c43 Mon Sep 17 00:00:00 2001 From: Determinant Date: Tue, 2 Jun 2015 12:51:18 +0800 Subject: add preprocessing layers and change layer constructor interface --- layer/sigmoid.lua | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) (limited to 'layer/sigmoid.lua') diff --git a/layer/sigmoid.lua b/layer/sigmoid.lua index ca34419..220b7af 100644 --- a/layer/sigmoid.lua +++ b/layer/sigmoid.lua @@ -1,11 +1,17 @@ local SigmoidLayer = nerv.class("nerv.SigmoidLayer", "nerv.Layer") -function SigmoidLayer:__init(id, global_conf) +function SigmoidLayer:__init(id, global_conf, layer_conf) self.id = id self.gconf = global_conf + self.dim_in = layer_conf.dim_in + self.dim_out = layer_conf.dim_out + self:check_dim_len(1, 1) end function SigmoidLayer:init() + if self.dim_in[1] ~= self.dim_out[1] then + nerv.error("mismatching dimensions of input and output") + end end function SigmoidLayer:update(bp_err, input, output) @@ -13,9 +19,9 @@ function SigmoidLayer:update(bp_err, input, output) end function SigmoidLayer:propagate(input, output) - output[0]:sigmoid(input[0]) + output[1]:sigmoid(input[1]) end function SigmoidLayer:back_propagate(next_bp_err, bp_err, input, output) - next_bp_err[0]:sigmoid_grad(bp_err[0], output[0]) + next_bp_err[1]:sigmoid_grad(bp_err[1], output[1]) end -- cgit v1.2.3