1 files changed, 21 insertions, 2 deletions
diff --git a/nerv/nn/layer_dag.lua b/nerv/nn/layer_dag.lua
index f69d31c..7843509 100644
--- a/nerv/nn/layer_dag.lua
+++ b/nerv/nn/layer_dag.lua
@@ -92,7 +92,7 @@ function DAGLayer:__init(id, global_conf, layer_conf)
     for id, ref in pairs(layers) do
         if ref.in_deg == 0 then
             table.insert(queue, ref)
-            nerv.info("adding source layer: %s", id)
+            --nerv.info("adding source layer: %s", id)
             r = r + 1
         end
     end
@@ -112,7 +112,7 @@ function DAGLayer:__init(id, global_conf, layer_conf)
         end
     end
     for i = 1, #queue do
-        nerv.info("enqueued layer: %s %s", queue[i].layer, queue[i].layer.id)
+        --nerv.info("enqueued layer: %s %s", queue[i].layer, queue[i].layer.id)
     end
 
     for id, ref in pairs(layers) do
@@ -225,6 +225,25 @@ function DAGLayer:update(bp_err, input, output)
     end
 end
 
+function DAGLayer:gradient(bp_err, input, output)
+    self:set_err_inputs(bp_err)
+    self:set_inputs(input)
+    self:set_outputs(output)
+     -- print("gradient")
+    for id, ref in pairs(self.queue) do
+        -- print(ref.layer.id)	
+        ref.layer:gradient(ref.err_inputs, ref.inputs, ref.outputs)
+    end 
+end
+
+function DAGLayer:update_gradient()
+     -- print("update gradient")
+    for id, ref in pairs(self.queue) do
+       -- print(ref.layer.id)  
+        ref.layer:update_gradient()
+    end
+end
+
 function DAGLayer:propagate(input, output)
     self:set_inputs(input)
     self:set_outputs(output)