1 files changed, 11 insertions, 12 deletions

diff --git a/nn/layer_dag.lua b/nn/layer_dag.lua
index 2dda7c9..8e30216 100644
--- a/nn/layer_dag.lua
+++ b/nn/layer_dag.lua
@@ -85,13 +85,14 @@ function DAGLayer:__init(id, global_conf, layer_conf)
         end
     end
 
+    -- topology sort
     local queue = {}
     local l = 1
     local r = 1
     for id, ref in pairs(layers) do
         if ref.in_deg == 0 then
             table.insert(queue, ref)
-            nerv.utils.printf("adding source layer: %s\n", id)
+            nerv.info("adding source layer: %s", id)
             r = r + 1
         end
     end
@@ -111,13 +112,13 @@ function DAGLayer:__init(id, global_conf, layer_conf)
         end
     end
     for i = 1, #queue do
-        nerv.utils.printf("queued layer: %s\n", queue[i].layer.id)
+        nerv.info("enqueued layer: %s", queue[i].layer.id)
     end
 
     for id, ref in pairs(layers) do
         -- check wether the graph is connected
         if ref.visited == false then
-            nerv.utils.printf("warning: layer %s is ignored\n", id)
+            nerv.warning("layer %s is ignored", id)
         end
     end
 
@@ -131,7 +132,7 @@ function DAGLayer:__init(id, global_conf, layer_conf)
     self.gconf = global_conf
 end
 
-function DAGLayer:init(batch_size) -- topology sort
+function DAGLayer:init(batch_size)
     for i, conn in ipairs(self.parsed_conn) do
         local _, output_dim
         local ref_from, port_from, ref_to, port_to
@@ -160,7 +161,7 @@ function DAGLayer:init(batch_size) -- topology sort
             end
         end
         -- initialize sub layers
-        ref.layer:init()
+        ref.layer:init(batch_size)
     end
     for i = 1, #self.dim_in do
         if self.inputs[i] == nil then
@@ -227,7 +228,7 @@ function DAGLayer:propagate(input, output)
     end
 end
 
-function DAGLayer:back_propagate(next_bp_err, bp_err, input, output)
+function DAGLayer:back_propagate(bp_err, next_bp_err, input, output)
     self:set_err_outputs(next_bp_err)
     self:set_err_inputs(bp_err)
     self:set_inputs(input)
@@ -235,16 +236,14 @@ function DAGLayer:back_propagate(next_bp_err, bp_err, input, output)
     for i = #self.queue, 1, -1 do
         local ref = self.queue[i]
         -- print(ref.layer.id)
-        ref.layer:back_propagate(ref.err_outputs, ref.err_inputs, ref.inputs, ref.outputs)
+        ref.layer:back_propagate(ref.err_inputs, ref.err_outputs, ref.inputs, ref.outputs)
     end
 end
 
 function DAGLayer:get_params()
-    local res = {}
+    local param_repos = {}
     for id, ref in pairs(self.queue) do
-        for i, p in ipairs(ref.layer:get_params()) do
-            table.insert(res, p)
-        end
+        table.insert(param_repos, ref.layer:get_params())
     end
-    return res
+    return nerv.ParamRepo.merge(param_repos)
 end