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cnn.v
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`timescale 1ns / 1ps
//////////////////////////////////////////////////////////////////////////////////
// Company:
// Engineer:
//
// Create Date: 15.11.2022 17:29:08
// Design Name:
// Module Name: conv
// Project Name:
// Target Devices:
// Tool Versions:
// Description:
//
// Dependencies:
//
// Revision:
// Revision 0.01 - File Created
// Additional Comments:
//
//////////////////////////////////////////////////////////////////////////////////
module conv(
input clk_in,reset,
input [7:0]data_in,
output [7:0]data_out
);
wire internal_clk;
reg [3:0]state;
reg [2:0]internalState;
reg [7:0]P,Q,R,S,C,M,p,q,r,s,c,m;
reg valid_in, valid_out;
reg [1:0]large_state;
reg [3:0]small_state;
parameter CNN=8'b0;
parameter maxpool=8'b0;
parameter FCL=8'b0;
reg [7:0]inp[0:14400-1];
reg [7:0]weight[0:18432-1];
integer counter=0;
always @(posedge internal_clk, posedge reset)
begin
if(reset)
begin
p = 0;
q = 0;
r = 0;
s = 0;
c = 0;
m = 0;
valid_in = 0;
valid_out = 0;
end
else
begin
if(large_state==0 && valid_in==1) // large state 0:data_in check, 1:conv, 2:maxpool, 3:FCL
begin
if(data_in==CNN) large_state=1;
else if(data_in==maxpool) large_state=2;
else if(data_in==FCL) large_state=3;
end
else if(large_state==1 && valid_in==1)
begin
case(small_state) // 0:fill paramters, 1:take input(img), 2:take weights,
// 3:assign output to 0, 4:convolution calculation, 5:transmit output
0: // Fill the paramaeters P,Q,R,S,C,M
begin
case(counter)
0: begin P=data_in;counter=counter+1; end
1: begin Q=data_in;counter=counter+1; end
2: begin R=data_in;counter=counter+1; end
3: begin S=data_in;counter=counter+1; end
4: begin C=data_in;counter=counter+1; end
5: begin M=data_in;counter=counter+1; end
default: begin small_state=small_state+1;counter=0; end
endcase
end
1: // take input(img)
begin
if(counter<(P+R-1)*(Q+S-1)*C)
begin
if(c<C)
if(p<P+R-1)
if(q<Q+S-1)
begin
inp[q + p*(Q+S-1) + c*(P+R-1)*(Q+S-1)] = data_in;
counter=counter+1;
q=q+1;
end
else
begin
q=0;
p=p+1;
end
else
begin
p=0;
c=c+1;
end
else
begin
c=0;
p=0;
q=0;
end
end
else
begin
counter=0;
small_state = small_state+1;
end
end
2: // take weights
begin
if(counter<(R)*(S)*C)
begin
if(m<M)
if(c<C)
if(r<R)
if(s<S)
begin
weight[s+r*S+c*R*S+m*C*R*S] = data_in;
counter=counter+1;
s=s+1;
end
else
begin
s=0;
r=r+1
end
else
begin
r=0;
c=c+1;
end
else
begin
m=0;
c=0;
r=0;
s=0;
end
else
begin
counter=0;
small_state = small_state+1;
end
end
end
3: //assign output to 0
begin
begin
if(counter<P*Q*C)
begin
if(c<C)
if(p<P)
if(q<Q)
begin
out[counter] <= 0;
counter=counter+1;
q=q+1;
end
else
begin
s=0;
r=r+1;
end
else
begin
r=0;
c=c+1;
end
else
begin
c=0;
r=0;
s=0;
m=0;
end
end
else
begin
counter=0;
small_state = small_state+1;
end
end
end
4: // convolution calculation
begin
if(m<M)
begin
if(p<P)
begin
if(q<Q)
if(r<R)
begin
if(s<S)
begin
out[q + p*Q + m*P*Q] = out[q + p*Q + m*P*Q] + inp[s + r*S + q*R*S + p*S*R*Q + m*P*Q*R*S]*weight[s + r*S + c*R*S];
s=s+1;
counter = counter + 1;
end
else
begin
s=0;
r=r+1;
end
end
else
begin
r=0;
q=q+1;
end
else
begin
q=0;
p=p+1;
end
end
else
begin
p=0;
m=m+1;
end
end
else
begin
m=0;
p=0;
q=0;
r=0;
s=0;
end
end
5: // transmit output
begin
if(counter < P*Q*M)
begin
if(m<M)
if(p<P)
if(q<Q)
begin
inp[q + p*(Q) + m*(P)*(Q)] = data_in;
counter=counter+1;
q=q+1;
end
else
begin
q=0;
p=p+1;
end
else
begin
p=0;
m=m+1;
end
else
begin
m=0;
p=0;
q=0;
end
end
else
begin
counter=0;
small_state = 0;
end
end
endcase
end
/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
else if(large_state==2) //Maxpool
begin
if(done_in)
begin
case(small_state) // 0:fill paramters, 1:take input(img), 2:take weights,
// 3:assign output to 0, 4:convolution calculation, 5:transmit output
0: // Fill the paramaeters P,Q,R,S,C,M
begin
case(counter)
0: begin P=data_in;counter=counter+1; end
1: begin Q=data_in;counter=counter+1; end
2: begin R=data_in;counter=counter+1; end
3: begin S=data_in;counter=counter+1; end
4: begin C=data_in;counter=counter+1; end
5: begin M=data_in;counter=counter+1; end
default: begin small_state=small_state+1;counter=0; end
endcase
end
1: // take input(img)
begin
if(counter<(P+R-1)*(Q+R-1)*C)
begin
if(c<C)
if(p<P+R-1)
if(q<Q+S-1)
begin
inp[q + p*(Q+S-1) + c*(P+R-1)*(Q+S-1)] = data_in;
counter=counter+1;
q=q+1;
end
else
begin
q=0;
p=p+1;
end
else
begin
p=0;
c=c+1;
end
else
begin
c=0;
p=0;
q=0;
end
end
else
begin
counter=0;
small_state = small_state+1;
end
end
2: // take weights
begin
if(counter<R*S*C*M)
begin
if(m<M)
if(c<C)
if(r<R)
if(s<S)
begin
weight_array[s+r*S+c*R*S+m*R*S*C] = data_in;
counter=counter+1;
s=s+1;
end
else
begin
s=0;
r=r+1;
end
else
begin
r=0;
c=c+1;
end
else
begin
c=0;
m=m+1;
end
else
begin
m=0;
c=0;
r=0;
s=0;
end
end
else
begin
counter=0;
small_state = small_state+1;
end
end
3: //assign output to 0
begin
if(counter<P*Q*M)
begin
if(m<M)
if(p<P)
if(q<Q)
begin
out[q + p*Q + m*P*Q] = 0;
counter=counter+1;
q=q+1;
end
else
begin
q=0;
p=p+1;
end
else
begin
p=0;
m=m+1;
end
else
begin
m=0;
p=0;
q=0;
end
end
else
begin
counter=0;
small_state = small_state+1;
end
end
4: // max pooling calculation
begin
if(m<m-1)
if(p<P-1)
if(q<Q-1)
begin
output_array[q+p*Q+m*P*Q] = (input_array[q]>=input_array[q+1]&input_array[q]>=input_array[q+Q]&input_array[q]>=input_array[q+Q+1])?input_array[q]:(input_array[q+1]>=input_array[q]&input_array[q+1]>=input_array[q+Q]&input_array[q+1]>=input_array[q+Q+1])?input_array[q+1]:(input_array[q+Q]>=input_array[q]&input_array[q+Q]>=input_array[q+1]&input_array[q+Q]>=input_array[q+Q+1])?input_array[q+Q]:input_array[q+Q+1];
q = q+2;
end
else
begin
q=0;
p=p+2;
end
else
begin
p=0;
m=m+1;
end
else
begin
p=0;q=0;m=0;
end
end
5: // transmit output
begin
if(counter<P*Q*M)
begin
if(m<M)
if(p<P)
if(q<Q)
begin
data_out = out[q+p*Q+m*P*Q];
counter=counter+1;
q=q+1;
end
else
begin
q=0;
p=p+1;
end
else
begin
p=0;
m=m+1;
end
else
begin
m=0;
p=0;
q=0;
end
end
else
begin
counter=0;
small_state = 0;
valid_out = 1;
end
end
endcase
end
end
end
else if(large_state==3) // dense or fully connected
begin
end
end
endmodule