make `bind_params` and `init` consistent in `affine.lua`,

`lstm_gate.lua`, `projection.lua`

1 files changed, 12 insertions, 10 deletions

diff --git a/nerv/layer/lstm_gate.lua b/nerv/layer/lstm_gate.lua
index 99bf3ca..82824fa 100644
--- a/nerv/layer/lstm_gate.lua
+++ b/nerv/layer/lstm_gate.lua
@@ -12,17 +12,20 @@ function LSTMGateLayer:bind_params()
     local lconf = self.lconf
     lconf.no_update_ltp1 = lconf.no_update_ltp1 or lconf.no_update_ltp
     for i = 1, #self.dim_in do
-        self["ltp" .. i] = self:find_param("ltp" .. i, lconf, self.gconf,
+        local pid = "ltp" .. i
+        local pid_list = i == 1 and {pid, "ltp"} or pid
+        self["ltp" .. i] = self:find_param(pid_list, lconf, self.gconf,
                                             nerv.LinearTransParam,
                                             {self.dim_in[i], self.dim_out[1]})
         if self.param_type[i] == 'D' then
             self["ltp" .. i].trans:diagonalize()
         end
-        local no_update = lconf["no_update_ltp"..i]
+        local no_update = lconf["no_update_ltp" .. i]
         if (no_update ~= nil) and no_update or lconf.no_update_all then
             self["ltp" .. i].no_update = true
         end
     end
+    self.ltp = self.ltp1 -- alias of ltp1
     self.bp = self:find_param("bp", lconf, self.gconf,
                                 nerv.BiasParam, {1, self.dim_out[1]},
                                 nerv.Param.gen_zero)
@@ -33,18 +36,17 @@ function LSTMGateLayer:bind_params()
 end
 
 function LSTMGateLayer:init(batch_size)
+    if self.dim_out[1] ~= self.bp.trans:ncol() then
+        nerv.error("mismatching dimensions of linear transform and bias paramter")
+    end
     for i = 1, #self.dim_in do
-        if self["ltp" .. i].trans:ncol() ~= self.bp.trans:ncol() then
-            nerv.error("mismatching dimensions of linear transform and bias paramter")
-        end
         if self.dim_in[i] ~= self["ltp" .. i].trans:nrow() then
             nerv.error("mismatching dimensions of linear transform parameter and input")
         end
-        self["ltp"..i]:train_init()
-    end
-    
-    if self.dim_out[1] ~= self.ltp1.trans:ncol() then
-        nerv.error("mismatching dimensions of linear transform parameter and output")
+        if self.dim_out[1] ~= self["ltp" .. i].trans:ncol() then
+            nerv.error("mismatching dimensions of linear transform parameter and output")
+        end
+        self["ltp" .. i]:train_init()
     end
     self.bp:train_init()
     self.err_bakm = self.mat_type(batch_size, self.dim_out[1])