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Add layer normalization matrices to model

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This commit is contained in:
Tomasz Dwojak 2017-03-21 10:56:39 +00:00
parent 1d86121c76
commit d3615d2481
1 changed files with 35 additions and 7 deletions
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42
src/gpu/dl4mt/model.h
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@ -33,7 +33,9 @@ struct Weights {
Wx_(model["encoder_Wx"]),
Bx1_(model("encoder_bx", true)),
Bx2_(Bx1_.Rows(), Bx1_.Cols(), 0.0f),
Ux_(model["encoder_Ux"])
Ux_(model["encoder_Ux"]),
Gamma_1_(model["encoder_gamma1"]),
Gamma_2_(model["encoder_gamma2"])
{ }
const mblas::Matrix W_;
@ -43,6 +45,8 @@ struct Weights {
const mblas::Matrix Bx1_;
const mblas::Matrix Bx2_;
const mblas::Matrix Ux_;
const mblas::Matrix Gamma_1_;
const mblas::Matrix Gamma_2_;
};
struct EncBackwardGRU {
@ -55,7 +59,9 @@ struct Weights {
Wx_(model["encoder_r_Wx"]),
Bx1_(model("encoder_r_bx", true)),
Bx2_(Bx1_.Rows(), Bx1_.Cols(), 0.0f),
Ux_(model["encoder_r_Ux"])
Ux_(model["encoder_r_Ux"]),
Gamma_1_(model["encoder_r_gamma1"]),
Gamma_2_(model["encoder_r_gamma2"])
{}
const mblas::Matrix W_;
@ -65,6 +71,8 @@ struct Weights {
const mblas::Matrix Bx1_;
const mblas::Matrix Bx2_;
const mblas::Matrix Ux_;
const mblas::Matrix Gamma_1_;
const mblas::Matrix Gamma_2_;
};
//////////////////////////////////////////////////////////////////////////////
@ -84,11 +92,13 @@ struct Weights {
DecInit(const NpzConverter& model)
: Wi_(model["ff_state_W"]),
Bi_(model("ff_state_b", true))
Bi_(model("ff_state_b", true)),
Gamma_(model["ff_state_gamma"])
{}
const mblas::Matrix Wi_;
const mblas::Matrix Bi_;
const mblas::Matrix Gamma_;
};
struct DecGRU1 {
@ -101,7 +111,9 @@ struct Weights {
Wx_(model["decoder_Wx"]),
Bx1_(model("decoder_bx", true)),
Bx2_(Bx1_.Rows(), Bx1_.Cols(), 0.0f),
Ux_(model["decoder_Ux"])
Ux_(model["decoder_Ux"]),
Gamma_1_(model["decoder_cell1_gamma1"]),
Gamma_2_(model["decoder_cell1_gamma2"])
{}
const mblas::Matrix W_;
@ -111,6 +123,8 @@ struct Weights {
const mblas::Matrix Bx1_;
const mblas::Matrix Bx2_;
const mblas::Matrix Ux_;
const mblas::Matrix Gamma_1_;
const mblas::Matrix Gamma_2_;
};
struct DecGRU2 {
@ -123,7 +137,9 @@ struct Weights {
Wx_(model["decoder_Wcx"]),
Bx2_(model("decoder_bx_nl", true)),
Bx1_(Bx2_.Rows(), Bx2_.Cols(), 0.0f),
Ux_(model["decoder_Ux_nl"])
Ux_(model["decoder_Ux_nl"]),
Gamma_1_(model["decoder_cell2_gamma1"]),
Gamma_2_(model["decoder_cell2_gamma2"])
{}
const mblas::Matrix W_;
@ -133,6 +149,8 @@ struct Weights {
const mblas::Matrix Bx2_;
const mblas::Matrix Bx1_;
const mblas::Matrix Ux_;
const mblas::Matrix Gamma_1_;
const mblas::Matrix Gamma_2_;
};
struct DecAlignment {
@ -143,7 +161,9 @@ struct Weights {
W_(model["decoder_W_comb_att"]),
B_(model("decoder_b_att", true)),
U_(model["decoder_Wc_att"]),
C_(model["decoder_c_tt"]) // scalar?
C_(model["decoder_c_tt"]), // scalar?
Gamma_1_(model["decoder_att_gamma1"]),
Gamma_2_(model["decoder_att_gamma2"])
{}
const mblas::Matrix V_;
@ -151,6 +171,8 @@ struct Weights {
const mblas::Matrix B_;
const mblas::Matrix U_;
const mblas::Matrix C_;
const mblas::Matrix Gamma_1_;
const mblas::Matrix Gamma_2_;
};
struct DecSoftmax {
@ -164,7 +186,10 @@ struct Weights {
W3_(model["ff_logit_ctx_W"]),
B3_(model("ff_logit_ctx_b", true)),
W4_(model["ff_logit_W"]),
B4_(model("ff_logit_b", true))
B4_(model("ff_logit_b", true)),
Gamma_0_(model["ff_logit_l1_gamma0"]),
Gamma_1_(model["ff_logit_l1_gamma1"]),
Gamma_2_(model["ff_logit_l1_gamma2"])
{}
const mblas::Matrix W1_;
@ -175,6 +200,9 @@ struct Weights {
const mblas::Matrix B3_;
const mblas::Matrix W4_;
const mblas::Matrix B4_;
const mblas::Matrix Gamma_0_;
const mblas::Matrix Gamma_1_;
const mblas::Matrix Gamma_2_;
};
Weights(const std::string& npzFile, size_t device)