huge refactor for high RewritePatterns usage and less ad-hoc cpp code

remove Spatial many ops in favor of tensor ops like in pim

validation/raptor.py

@@ -33,8 +33,6 @@ def _parse_pim_pass_timings(output_text):
                 pass_timings[label] = pass_timings.get(label, 0.0) + duration
                 break
 
-    if not pass_timings:
-        raise RuntimeError("Raptor timing report did not contain any PIM pass timings.")
     return pass_timings
 
 
@@ -43,7 +41,7 @@ def _format_command(cmd):
 
 
 def compile_with_raptor(network_path, raptor_onnx_path: Path, output_base: Path,
-                        crossbar_size, crossbar_count, core_count=None, cwd=None, reporter=None):
+                        crossbar_size, crossbar_count, core_count=None, cwd=None, verbose=False, reporter=None):
     # Define the arguments, with the possibility to set crossbar size and count
     args = [
         network_path,
@@ -51,13 +49,13 @@ def compile_with_raptor(network_path, raptor_onnx_path: Path, output_base: Path,
         output_base,
         "--maccel=PIM",
         "--EmitPimCodegen",
-        # "--use-experimental-conv-impl=true",
         f"--crossbar-size={crossbar_size}",
         f"--crossbar-count={crossbar_count}",
-        "--enable-timing",
     ]
     if core_count is not None:
         args.append(f"--core-count={core_count}")
+    if verbose:
+        args.append("--enable-timing")
 
     cmd = [str(raptor_onnx_path)] + [str(arg) for arg in args]
     if reporter is not None: