From b818c2562d07a69083377cbc34f2add108e9fa66 Mon Sep 17 00:00:00 2001
From: Determinant <ted.sybil@gmail.com>
Date: Wed, 10 Jun 2015 20:42:10 +0800
Subject: add CombinerLayer to support branches in NN; add MSELayer

---
 layer/combiner.lua   | 55 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 layer/init.lua       |  2 ++
 layer/mse.lua        | 52 +++++++++++++++++++++++++++++++++++++++++++++++++
 layer/softmax_ce.lua | 12 ++++++++++--
 layer/window.lua     |  2 +-
 5 files changed, 120 insertions(+), 3 deletions(-)
 create mode 100644 layer/combiner.lua
 create mode 100644 layer/mse.lua

(limited to 'layer')

diff --git a/layer/combiner.lua b/layer/combiner.lua
new file mode 100644
index 0000000..2eac83c
--- /dev/null
+++ b/layer/combiner.lua
@@ -0,0 +1,55 @@
+local CombinerLayer = nerv.class('nerv.CombinerLayer', 'nerv.Layer')
+
+function CombinerLayer:__init(id, global_conf, layer_conf)
+    self.id = id
+    self.lambda = layer_conf.lambda
+    self.dim_in = layer_conf.dim_in
+    self.dim_out = layer_conf.dim_out
+    self.gconf = global_conf
+    self:check_dim_len(#self.lambda, -1)
+end
+
+function CombinerLayer:init()
+    local dim = self.dim_in[1]
+    for i = 2, #self.dim_in do
+        if self.dim_in[i] ~= dim then
+            nerv.error("mismatching dimensions of inputs")
+        end
+    end
+    for i = 1, #self.dim_out do
+        if self.dim_out[i] ~= dim then
+            nerv.error("mismatching dimensions of inputs/outputs")
+        end
+    end
+end
+
+function CombinerLayer:update(bp_err, input, output)
+end
+
+function CombinerLayer:propagate(input, output)
+    output[1]:fill(0)
+    for i = 1, #self.dim_in do
+        output[1]:add(output[1], input[i], 1.0, self.lambda[i])
+    end
+    for i = 2, #self.dim_out do
+        output[i]:copy_fromd(output[1]) 
+    end
+end
+
+function CombinerLayer:back_propagate(next_bp_err, bp_err, input, output)
+    local sum = bp_err[1]:create()
+    sum:fill(0)
+    for i = 1, #self.dim_out do
+        sum:add(sum, bp_err[i], 1.0, 1.0)
+    end
+    for i = 1, #self.dim_in do
+        local scale = nerv.CuMatrixFloat(sum:nrow(), 1)
+        scale:fill(self.lambda[i])
+        next_bp_err[i]:copy_fromd(sum)
+        next_bp_err[i]:scale_rows_by_col(scale)
+    end
+end
+
+function CombinerLayer:get_params()
+    return {self.lambda}
+end
diff --git a/layer/init.lua b/layer/init.lua
index 844f46b..169427d 100644
--- a/layer/init.lua
+++ b/layer/init.lua
@@ -71,3 +71,5 @@ require 'layer.sigmoid'
 require 'layer.softmax_ce'
 require 'layer.bias'
 require 'layer.window'
+require 'layer.mse'
+require 'layer.combiner'
diff --git a/layer/mse.lua b/layer/mse.lua
new file mode 100644
index 0000000..da5b24d
--- /dev/null
+++ b/layer/mse.lua
@@ -0,0 +1,52 @@
+local MSELayer = nerv.class("nerv.MSELayer", "nerv.Layer")
+
+function MSELayer:__init(id, global_conf, layer_conf)
+    self.id = id
+    self.dim_in = layer_conf.dim_in
+    self.dim_out = layer_conf.dim_out
+    self.gconf = global_conf
+    self:check_dim_len(2, -1)
+end
+
+function MSELayer:init()
+    if self.dim_in[1] ~= self.dim_in[2] then
+        nerv.error("mismatching dimensions of previous network output and labels")
+    end
+    self.total_mse = 0.0
+    self.total_frames = 0
+end
+
+function MSELayer:update(bp_err, input, output)
+    -- no params, therefore do nothing
+end
+
+function MSELayer:propagate(input, output)
+    local mse = input[1]:create()
+    mse:add(input[1], input[2], 1.0, -1.0)
+    self.diff = mse:create()
+    self.diff:copy_fromd(mse)
+    mse:mul_elem(mse, mse)
+    mse = mse:rowsum(mse)
+    local scale = nerv.CuMatrixFloat(mse:nrow(), 1)
+    scale:fill(1 / input[1]:ncol())
+    mse:scale_rows_by_col(scale)
+    if output[1] ~= nil then
+        output[1]:copy_fromd(mse)
+    end
+    self.total_mse = self.total_mse + mse:colsum()[0]
+    self.total_frames = self.total_frames + mse:nrow()
+end
+
+-- NOTE: must call propagate before back_propagate
+function MSELayer:back_propagate(next_bp_err, bp_err, input, output)
+    local nbe = next_bp_err[1]
+    nbe:copy_fromd(self.diff)
+    self.diff = nil
+    if bp_err[1] ~= nil then
+        nbe:scale_rows_by_col(bp_err[1])
+    end
+end
+
+function MSELayer:get_params()
+    return {}
+end
diff --git a/layer/softmax_ce.lua b/layer/softmax_ce.lua
index 2e1f5fb..7888540 100644
--- a/layer/softmax_ce.lua
+++ b/layer/softmax_ce.lua
@@ -36,8 +36,12 @@ function SoftmaxCELayer:propagate(input, output)
         label = label:decompress(input[1]:ncol())
     end
     ce:mul_elem(ce, label)
+    ce = ce:rowsum()
+    if output[1] ~= nil then
+        output[1]:copy_fromd(ce)
+    end
     -- add total ce
-    self.total_ce = self.total_ce - ce:rowsum():colsum()[0]
+    self.total_ce = self.total_ce - ce:colsum()[0]
     self.total_frames = self.total_frames + soutput:nrow()
     -- TODO: add colsame for uncompressed label
     if self.compressed then
@@ -51,7 +55,11 @@ function SoftmaxCELayer:back_propagate(next_bp_err, bp_err, input, output)
     if self.compressed then
         label = label:decompress(input[1]:ncol())
     end
-    next_bp_err[1]:add(self.soutput, label, 1.0, -1.0)
+    local nbe = next_bp_err[1]
+    nbe:add(self.soutput, label, 1.0, -1.0)
+    if bp_err[1] ~= nil then
+        nbe:scale_rows_by_col(bp_err[1])
+    end
 end
 
 function SoftmaxCELayer:get_params()
diff --git a/layer/window.lua b/layer/window.lua
index b381c9b..3a093f4 100644
--- a/layer/window.lua
+++ b/layer/window.lua
@@ -20,7 +20,7 @@ end
 
 function WindowLayer:propagate(input, output)
     output[1]:copy_fromd(input[1])
-    output[1]:scale_row(self.window.trans)
+    output[1]:scale_rows_by_row(self.window.trans)
 end
 
 function WindowLayer:get_params()
-- 
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