major change: clearer param binding semantics; permit rebinding; enable

resuming from previous training

1 files changed, 6 insertions, 5 deletions

diff --git a/nerv/layer/elem_mul.lua b/nerv/layer/elem_mul.lua
index fe80a3f..f03649b 100644
--- a/nerv/layer/elem_mul.lua
+++ b/nerv/layer/elem_mul.lua
@@ -1,14 +1,15 @@
 local ElemMulLayer = nerv.class('nerv.ElemMulLayer', 'nerv.Layer')
 
 function ElemMulLayer:__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
+    nerv.Layer.__init(self, id, global_conf, layer_conf)
     -- element-wise multiplication of input[1] and input[2]
     self:check_dim_len(2, 1)
 end
 
+function ElemMulLayer:bind_params()
+    -- do nothing
+end
+
 function ElemMulLayer:init(batch_size)
     if self.dim_in[1] ~= self.dim_in[2] or
         self.dim_in[1] ~= self.dim_out[1] then
@@ -34,5 +35,5 @@ function ElemMulLayer:update(bp_err, input, output)
 end
 
 function ElemMulLayer:get_params()
-    return nerv.ParamRepo({})
+    return nerv.ParamRepo({}, self.loc_type)
 end