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-rw-r--r--nerv/layer/lstm.lua48
1 files changed, 24 insertions, 24 deletions
diff --git a/nerv/layer/lstm.lua b/nerv/layer/lstm.lua
index 500bd87..caa7569 100644
--- a/nerv/layer/lstm.lua
+++ b/nerv/layer/lstm.lua
@@ -22,47 +22,47 @@ function LSTMLayer:__init(id, global_conf, layer_conf)
local dout1, dout2, dout3 = self.dim_out[1], self.dim_out[2], self.dim_out[3]
local layers = {
["nerv.CombinerLayer"] = {
- [ap("inputXDup")] = {{}, {dim_in = {din1},
+ [ap("inputXDup")] = {dim_in = {din1},
dim_out = {din1, din1, din1, din1},
- lambda = {1}}},
+ lambda = {1}},
- [ap("inputHDup")] = {{}, {dim_in = {din2},
+ [ap("inputHDup")] = {dim_in = {din2},
dim_out = {din2, din2, din2, din2},
- lambda = {1}}},
+ lambda = {1}},
- [ap("inputCDup")] = {{}, {dim_in = {din3},
+ [ap("inputCDup")] = {dim_in = {din3},
dim_out = {din3, din3, din3},
- lambda = {1}}},
+ lambda = {1}},
- [ap("mainCDup")] = {{}, {dim_in = {din3, din3},
+ [ap("mainCDup")] = {dim_in = {din3, din3},
dim_out = {din3, din3, din3},
- lambda = {1, 1}}},
+ lambda = {1, 1}},
},
["nerv.AffineLayer"] = {
- [ap("mainAffineL")] = {{}, {dim_in = {din1, din2},
+ [ap("mainAffineL")] = {dim_in = {din1, din2},
dim_out = {dout1},
- pr = pr}},
+ pr = pr},
},
["nerv.TanhLayer"] = {
- [ap("mainTanhL")] = {{}, {dim_in = {dout1}, dim_out = {dout1}}},
- [ap("outputTanhL")] = {{}, {dim_in = {dout1}, dim_out = {dout1}}},
+ [ap("mainTanhL")] = {dim_in = {dout1}, dim_out = {dout1}},
+ [ap("outputTanhL")] = {dim_in = {dout1}, dim_out = {dout1}},
},
["nerv.LSTMGateLayer"] = {
- [ap("forgetGateL")] = {{}, {dim_in = {din1, din2, din3},
- dim_out = {din3}, pr = pr}},
- [ap("inputGateL")] = {{}, {dim_in = {din1, din2, din3},
- dim_out = {din3}, pr = pr}},
- [ap("outputGateL")] = {{}, {dim_in = {din1, din2, din3},
- dim_out = {din3}, pr = pr}},
+ [ap("forgetGateL")] = {dim_in = {din1, din2, din3},
+ dim_out = {din3}, pr = pr},
+ [ap("inputGateL")] = {dim_in = {din1, din2, din3},
+ dim_out = {din3}, pr = pr},
+ [ap("outputGateL")] = {dim_in = {din1, din2, din3},
+ dim_out = {din3}, pr = pr},
},
["nerv.ElemMulLayer"] = {
- [ap("inputGMulL")] = {{}, {dim_in = {din3, din3},
- dim_out = {din3}}},
- [ap("forgetGMulL")] = {{}, {dim_in = {din3, din3},
- dim_out = {din3}}},
- [ap("outputGMulL")] = {{}, {dim_in = {din3, din3},
- dim_out = {din3}}},
+ [ap("inputGMulL")] = {dim_in = {din3, din3},
+ dim_out = {din3}},
+ [ap("forgetGMulL")] = {dim_in = {din3, din3},
+ dim_out = {din3}},
+ [ap("outputGMulL")] = {dim_in = {din3, din3},
+ dim_out = {din3}},
},
}