Make it more verbose

src/py/tty3.py

@@ -17,7 +17,7 @@ server = get_fac_wrapper("telnet")
 
 INTMAX=2147483647
 lr=0.95
-decay_rate=1
+decay_rate=10
 
 run_command(server,"HELLO")
 
@@ -52,8 +52,6 @@ run_command(server,"DECAY_RATE")
 # α=(1/(1+decayRate×epochNumber))*​α0
 run_command(server,str(decay_rate))
 
-
-
 # Priming phase!
 # Upload and train token pairs first
 run_command(server,"TRAIN")
@@ -65,7 +63,7 @@ run_command(server,str(tok))
 run_command(server,"DONE")
 run_command(server,"TRAIN")
 run_command(server,"RUN_EPOCHS")
-run_command(server,str(10000))
+run_command(server,str(1000))
 
 run_command(server,"TRAIN")
 run_command(server,"TOKENS")
@@ -76,7 +74,7 @@ run_command(server,str(tok))
 run_command(server,"DONE")
 run_command(server,"TRAIN")
 run_command(server,"RUN_EPOCHS")
-run_command(server,str(10000))
+run_command(server,str(1000))
 
 run_command(server,"TRAIN")
 run_command(server,"TOKENS")
@@ -87,7 +85,7 @@ run_command(server,str(tok))
 run_command(server,"DONE")
 run_command(server,"TRAIN")
 run_command(server,"RUN_EPOCHS")
-run_command(server,str(10000))
+run_command(server,str(1000))
 
 # Upload token series
 run_command(server,"TRAIN")

src/rtl/neuron.v

@@ -101,6 +101,7 @@ module neuron #(
         else
         if(!backprop_done && backprop_running)
         begin
+            $display("Backprop with dW=", $signed(dw));
             // Adjust normal weights
             if( regidx < NUMBER_SYNAPSES )
             begin