Merge upstream 'parameter update big-change'.

Merge remote-tracking branch 'upstream/master'

1 files changed, 11 insertions, 10 deletions

diff --git a/layer/softmax_ce.lua b/layer/softmax_ce.lua
index 7888540..daf891e 100644
--- a/layer/softmax_ce.lua
+++ b/layer/softmax_ce.lua
@@ -12,13 +12,15 @@ function SoftmaxCELayer:__init(id, global_conf, layer_conf)
     self:check_dim_len(2, -1) -- two inputs: nn output and label
 end
 
-function SoftmaxCELayer:init()
+function SoftmaxCELayer:init(batch_size)
     if not self.compressed and (self.dim_in[1] ~= self.dim_in[2]) then
         nerv.error("mismatching dimensions of previous network output and labels")
     end
     self.total_ce = 0.0
     self.total_correct = 0
     self.total_frames = 0
+    self.softmax = self.gconf.cumat_type(batch_size, self.dim_in[1])
+    self.ce = self.softmax:create()
 end
 
 function SoftmaxCELayer:update(bp_err, input, output)
@@ -26,12 +28,11 @@ function SoftmaxCELayer:update(bp_err, input, output)
 end
 
 function SoftmaxCELayer:propagate(input, output)
-    local soutput = input[1]:create()  -- temporary value for calc softmax
-    self.soutput = soutput
-    local classified = soutput:softmax(input[1])
-    local ce = soutput:create()
-    ce:log_elem(soutput)
+    local softmax = self.softmax
+    local ce = self.ce
+    local classified = softmax:softmax(input[1])
     local label = input[2]
+    ce:log_elem(softmax)
     if self.compressed then
         label = label:decompress(input[1]:ncol())
     end
@@ -42,26 +43,26 @@ function SoftmaxCELayer:propagate(input, output)
     end
     -- add total ce
     self.total_ce = self.total_ce - ce:colsum()[0]
-    self.total_frames = self.total_frames + soutput:nrow()
+    self.total_frames = self.total_frames + softmax:nrow()
     -- TODO: add colsame for uncompressed label
     if self.compressed then
         self.total_correct = self.total_correct + classified:colsame(input[2])[0]
     end
 end
 
-function SoftmaxCELayer:back_propagate(next_bp_err, bp_err, input, output)
+function SoftmaxCELayer:back_propagate(bp_err, next_bp_err, input, output)
     -- softmax output - label
     local label = input[2]
     if self.compressed then
         label = label:decompress(input[1]:ncol())
     end
     local nbe = next_bp_err[1]
-    nbe:add(self.soutput, label, 1.0, -1.0)
+    nbe:add(self.softmax, 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()
-    return {}
+    return nerv.ParamRepo({})
 end