[Code Gen] Added template for single node code generation and deleted...

[Code Gen] Added template for single node code generation and deleted redundant lines in example cpp file

src/finn/backend/fpgadataflow/code_gen_for_single_node_execution.py

@@ -3,5 +3,41 @@
 
 def execute(node, context, graph):
     # template for single node execution
+    docompute_template= """
+    #include "cnpy.h"
+    #include <vector>
+    #include "bnn-library.h"
+
+    // includes for network parameters
+    $GLOBALS$
+
+    // defines for network parameters
+    $DEFINES$
+
+    int main(){
+        typedef struct{
+            ap_uint<$STREAMWIDTH$> last_data;
+            std::vector<ap_uint<$STREAMWIDTH$>> data;
+        } output_interface;
+
+    output_interface k;
+
+    $READNPYDATA$
+
+    $STREAMDECLARATIONS$
+    $STREAMPRAGMAS$
+    
+    $DATAINSTREAM$
+
+    $DOCOMPUTE$
+    
+    $DATAOUTSTREAM$
+
+    $SAVEASCNPY$
+    
+    }
+
+    """
+
     print("\n\n Set up for code generation of single not in progress! \n\n") 
    

tests/layer_streaming_maxpool.cpp

 #include "cnpy.h"
-#include<complex>
-#include<cstdlib>
-#include<map>
 #include <vector>
 #include "bnn-library.h"
 #include "maxpool.h"
@@ -14,10 +11,8 @@ int main(){
 	typedef struct{
 		ap_uint<2> last_data;
 		std::vector<ap_uint<2>> data;
-		bool valid;
-		bool invert;
-	} input_interface;
-	input_interface i, k;
+	} output_interface;
+	output_interface k;
 	cnpy::NpyArray arr = cnpy::npy_load("input_0.npy");
 	float* loaded_data = arr.data<float>();
 	int Nx = arr.shape[0];