Fix generation loop for Quartus

src/rtl/layer.sv

 module layer #(
-    parameter NUMBER_SYNAPSES = `NUM_INPUT_SYNAPSES,
-    parameter NUMBER_NEURONS = `NUM_INPUT_NEURONS
+    parameter NUMBER_SYNAPSES = 8,
+    parameter NUMBER_NEURONS = 8
 )
 (
     clk,
@@ -54,15 +54,19 @@ module layer #(
     wire[NUMBER_NEURONS-1:0][NUMBER_SYNAPSES-1:0] backprop_out_port_array;
     wire[NUMBER_SYNAPSES-1:0][NUMBER_NEURONS-1:0] backprop_out_port_array_flipped;
 
-    for(gv1=0;gv1<NUMBER_NEURONS;gv1=gv1+1) begin
-        for(gv2=0;gv2<NUMBER_SYNAPSES;gv2=gv2+1) begin
-            assign backprop_out_port_array_flipped[gv2][gv1] = backprop_out_port_array[gv1][gv2];
+    generate
+        for(gv1=0;gv1<NUMBER_NEURONS;gv1=gv1+1) begin : flip_outer_loop
+            for(gv2=0;gv2<NUMBER_SYNAPSES;gv2=gv2+1) begin : flip_inner_loop
+                assign backprop_out_port_array_flipped[gv2][gv1] = backprop_out_port_array[gv1][gv2];
+            end
         end
-    end
+    endgenerate
 
-    for(gv2=0;gv2<NUMBER_SYNAPSES;gv2=gv2+1) begin
-        assign backprop_out_port[gv2] = |backprop_out_port_array_flipped[gv2];
-    end
+    generate
+        for(gv2=0;gv2<NUMBER_SYNAPSES;gv2=gv2+1) begin : backprop_loop
+            assign backprop_out_port[gv2] = |backprop_out_port_array_flipped[gv2];
+        end
+    endgenerate
     
     wire[NUMBER_NEURONS-1:0] inference_done_array;
     assign inference_done = &inference_done_array;
@@ -71,19 +75,25 @@ module layer #(
     assign backprop_done = &backprop_done_array;
 
     wire [NUMBER_NEURONS-1:0][values_neuron+1:0]translated_address;
-    for(gv=0;gv<NUMBER_NEURONS;gv=gv+1) begin
-        assign translated_address[gv] = address-gv*values_neuron;
-    end
+    generate
+        for(gv=0;gv<NUMBER_NEURONS;gv=gv+1) begin : translate_addr
+            assign translated_address[gv] = address-gv*values_neuron;
+        end
+    endgenerate
 
     wire [NUMBER_NEURONS-1:0] read_enable_array;
-    for(gv=0;gv<NUMBER_NEURONS;gv=gv+1) begin
-        assign read_enable_array[gv] = (translated_address[gv]<values_neuron) && read_enable;
-    end
+    generate
+        for(gv=0;gv<NUMBER_NEURONS;gv=gv+1) begin : re_loop
+            assign read_enable_array[gv] = (translated_address[gv]<values_neuron) && read_enable;
+        end
+    endgenerate
 
     wire [NUMBER_NEURONS-1:0] write_enable_array;
-    for(gv=0;gv<NUMBER_NEURONS;gv=gv+1) begin
-        assign write_enable_array[gv] = (translated_address[gv]<values_neuron) && write_enable;
-    end
+    generate
+        for(gv=0;gv<NUMBER_NEURONS;gv=gv+1) begin : we_loop
+            assign write_enable_array[gv] = (translated_address[gv]<values_neuron) && write_enable;
+        end
+    endgenerate
 
     wire [NUMBER_NEURONS-1:0][31:0] data_o_array;
     wire [NUMBER_NEURONS-1:0] read_done_array;
@@ -110,37 +120,39 @@ module layer #(
     end
 
     genvar gv;
-    for(gv=0;gv<NUMBER_NEURONS;gv=gv+1) begin
-
-        neuron #(
-            .NUMBER_SYNAPSES(NUMBER_SYNAPSES),
-            .NUMBER_RNN_SYNAPSES(NUMBER_NEURONS)
-        )
-        ut(
-            .clk(clk),
-            .rst(rst),
-            // Enable inference
-            .run_inference(run_inference),
-            .inference_done(inference_done_array[gv]),
-            // The data I/O
-            .neuron_inputs(layer_inputs),
-            .neuron_output(layer_outputs[gv]),
-            .rnn_inputs(layer_outputs),
-            // Backprop
-            .backprop_out_port(backprop_out_port_array[gv]),
-            .backprop_in_port(backprop_in_port),
-            .backprop_done(backprop_done_array[gv]),
-            .backprop_enable(backprop_enable),
-            // Data interface
-            .write_enable(write_enable_array[gv] ),
-            .read_enable(read_enable_array[gv]),
-            .write_done(write_done_array[gv]),
-            .read_done(read_done_array[gv]),
-            .address(translated_address[gv]),
-            .data_i(data_i),
-            .data_o(data_o_array[gv])
-        );
+    generate
+        for(gv=0;gv<NUMBER_NEURONS;gv=gv+1) begin : neurons
+
+            neuron #(
+                .NUMBER_SYNAPSES(NUMBER_SYNAPSES),
+                .NUMBER_RNN_SYNAPSES(NUMBER_NEURONS)
+            )
+            ut(
+                .clk(clk),
+                .rst(rst),
+                // Enable inference
+                .run_inference(run_inference),
+                .inference_done(inference_done_array[gv]),
+                // The data I/O
+                .neuron_inputs(layer_inputs),
+                .neuron_output(layer_outputs[gv]),
+                .rnn_inputs(layer_outputs),
+                // Backprop
+                .backprop_out_port(backprop_out_port_array[gv]),
+                .backprop_in_port(backprop_in_port),
+                .backprop_done(backprop_done_array[gv]),
+                .backprop_enable(backprop_enable),
+                // Data interface
+                .write_enable(write_enable_array[gv] ),
+                .read_enable(read_enable_array[gv]),
+                .write_done(write_done_array[gv]),
+                .read_done(read_done_array[gv]),
+                .address(translated_address[gv]),
+                .data_i(data_i),
+                .data_o(data_o_array[gv])
+            );
 
-    end
+        end
+    endgenerate
 
 endmodule