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Copy pathforward_pass_fixed_naive.m
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forward_pass_fixed_naive.m
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function [results] = forward_pass_fixed_naive(FILE,WL,FL)
fprintf(FILE,'Running LSTM fixed-point trial on TIMITs validation set...\n')
signed=1;
%WL=32;
%FL=25;
%Load and preprocess
startup;
dsSize=80
fce_acc=0;
inputSize=size(w1);
inputSize=inputSize(2);
hiddenSize=size(w1);
hiddenSize=hiddenSize(1)/4;
outputSize=size(w8);
c0=zeros(hiddenSize,1);
h0=zeros(hiddenSize,1);
w1=quantizenumeric(w1,signed,WL,FL,'round','saturate');
w2=quantizenumeric(w2,signed,WL,FL,'round','saturate');
w3=quantizenumeric(w3,signed,WL,FL,'round','saturate');
w4=quantizenumeric(w4,signed,WL,FL,'round','saturate');
w5=quantizenumeric(w5,signed,WL,FL,'round','saturate');
w6=quantizenumeric(w6,signed,WL,FL,'round','saturate');
w7=quantizenumeric(w7,signed,WL,FL,'round','saturate');
w8=quantizenumeric(w8,signed,WL,FL,'round','saturate');
feats=quantizenumeric(feats,signed,WL,FL,'round','saturate');
feats=reshape(feats,400,742,[]);
for seqNum=1:dsSize
inputSequence=squeeze(feats(seqNum,:,:));
%expectedSequence=squeeze(labels(seqNum,:));
expectedSequence=labels(seqNum,1:seqLengths(seqNum));
seqLength=seqLengths(seqNum);
defaults= [1 0];
F_i=[];F_f=[];F_z=[];F_c=[];F_o=[];F_h=[];
B_i=[];B_f=[];B_z=[];B_c=[];B_o=[];B_h=[];
predictedSequence=[];
%sequence=dataset(seqNum)
%Forward LSTM
x=inputSequence';
x=x(:,1:seqLength);
y=fliplr(x(:,1:seqLength));
%==Algorithm
%seqLength=10;
for t=1:seqLength
%%Forward
if t==1
F_all_input_sums = w1*x(:,t)+w3*h0+w2;
else
F_all_input_sums = w1*x(:,t)+w3*F_h(:,t-1)+w2;
end
%Quantize
F_all_input_sums=quantizenumeric(F_all_input_sums,signed,WL,FL,'round','saturate');
F_n1=F_all_input_sums(1:hiddenSize);
F_n2=F_all_input_sums(hiddenSize+1:2*hiddenSize);
F_n3=F_all_input_sums(2*hiddenSize+1:3*hiddenSize);
F_n4=F_all_input_sums(3*hiddenSize+1:4*hiddenSize);
F_in_gate=sigmf(F_n1, defaults);
F_in_transform=tansig(F_n2);
F_forget_gate=sigmf(F_n3, defaults);
F_out_gate=sigmf(F_n4, defaults);
%Quantize
F_in_gate=quantizenumeric(F_in_gate,signed,WL,FL,'round','saturate');
F_in_transform=quantizenumeric(F_in_transform,signed,WL,FL,'round','saturate');
F_forget_gate=quantizenumeric(F_forget_gate,signed,WL,FL,'round','saturate');
F_out_gate=quantizenumeric(F_out_gate,signed,WL,FL,'round','saturate');
if t==1
F_c(:,t)=F_forget_gate.*c0+F_in_gate.*F_in_transform; %why doesn't F_c become a fi?
else
F_c(:,t)=F_forget_gate.*F_c(:,t-1)+F_in_gate.*F_in_transform;
end
% %Quantize
F_c(:,t)=quantizenumeric(F_c(:,t),signed,WL,FL,'round','saturate');
%
F_h(:,t)=F_out_gate.*tansig(F_c(:,t));
% %Quantize
F_h(:,t)=quantizenumeric(F_h(:,t),signed,WL,FL,'round','saturate');
%%Backward
if t==1
B_all_input_sums = w4*y(:,t)+w6*h0+w5;
else
B_all_input_sums = w4*y(:,t)+w6*B_h(:,t-1)+w5;
end
%Quantize
B_all_input_sums=quantizenumeric(B_all_input_sums,signed,WL,FL,'round','saturate');
B_n1=B_all_input_sums(1:hiddenSize);
B_n2=B_all_input_sums(hiddenSize+1:2*hiddenSize);
B_n3=B_all_input_sums(2*hiddenSize+1:3*hiddenSize);
B_n4=B_all_input_sums(3*hiddenSize+1:4*hiddenSize);
B_in_gate=sigmf(B_n1, defaults);
B_in_transform=tansig(B_n2);
B_forget_gate=sigmf(B_n3, defaults);
B_out_gate=sigmf(B_n4, defaults);
% %Quantize
B_in_gate=quantizenumeric(B_in_gate,signed,WL,FL,'round','saturate');
B_in_transform=quantizenumeric(B_in_transform,signed,WL,FL,'round','saturate');
B_forget_gate=quantizenumeric(B_forget_gate,signed,WL,FL,'round','saturate');
B_out_gate=quantizenumeric(B_out_gate,signed,WL,FL,'round','saturate');
%
if t==1
B_c(:,t)=B_forget_gate.*c0+B_in_gate.*B_in_transform; %why doesn't B_c become a fi?
else
B_c(:,t)=B_forget_gate.*B_c(:,t-1)+B_in_gate.*B_in_transform;
end
% %Quantize
B_c(:,t)=quantizenumeric(B_c(:,t),signed,WL,FL,'round','saturate');
%
B_h(:,t)=B_out_gate.*tansig(B_c(:,t));
% %Quantize
B_h(:,t)=quantizenumeric(B_h(:,t),signed,WL,FL,'round','saturate');
%
% %step(x_scope,x(:,t));
%step(F_c_scope,F_c(:,t));
%step(F_h_scope,F_h(:,t));
end
%Flip B_h
B_h=fliplr(B_h); %B_h has to be flipped again. Check BiSequencer.lua and alex graves thesis algorithm 3.1
for t=1:seqLength
% %Fully Connected Layer
FC_input=cat(1,F_h(:,t),B_h(:,t));
FC_output=w7*FC_input+w8;
FC_output=quantizenumeric(FC_output,signed,WL,FL,'round','saturate');
%step(FC_output_scope,FC_output);
% %Softmax
%FC_output=softmax(FC_output);
% %Decision Policy: Max
[M,I] = max(FC_output);
predictedSequence(t)=I;
%
%
%
end
sum=0;
for i=1:seqLength
if predictedSequence(i)==expectedSequence(i)
sum=sum+1;
end
end
fce=(1-sum/seqLength)*100;
fce_acc=fce_acc+fce;
sprintf('FCE: %f',fce);
sprintf('pass complete %d',seqNum);
fce_list(seqNum)=fce;
end
Average_fce=fce_acc/seqNum;
sprintf('Average_fce:%f',Average_fce)
%end
fprintf(FILE,'dsSize=%d\n',dsSize);
fprintf(FILE,'WL=%d, FL=%d\n',WL,FL);
fprintf(FILE,'Average FCE=%f\n',Average_fce);
fprintf(FILE,'FCE List per utterance:\n')
fprintf(FILE,'%f\n',fce_list);
results=Average_fce;
%clear Average_fce fce_list
end