[Debugger] Sorting op-time breakdown for quicker analysis. (#4352)

python/tvm/contrib/debugger/debug_result.py

@@ -204,7 +204,7 @@ class DebugResult(object):
         with open(os.path.join(self._dump_path, graph_dump_file_name), 'w') as outfile:
             json.dump(graph, outfile, indent=4, sort_keys=False)
 
-    def display_debug_result(self):
+    def display_debug_result(self, sort_by_time=True):
         """Displays the debugger result"
         """
         header = ["Node Name", "Ops", "Time(us)", "Time(%)", "Shape", "Inputs", "Outputs"]
@@ -228,6 +228,14 @@ class DebugResult(object):
                 node_data = [name, op, time_us, time_percent, shape, inputs, outputs]
                 data.append(node_data)
                 eid += 1
+
+        if sort_by_time:
+            # Sort on the basis of execution time. Prints the most expensive ops in the start.
+            data = sorted(data, key=lambda x: x[2], reverse=True)
+            # Insert a row for total time at the end.
+            rounded_total_time = round(total_time * 1000000, 3)
+            data.append(["Total_time", "-", rounded_total_time, "-", "-", "-", "-", "-"])
+
         fmt = ""
         for i, _ in enumerate(header):
             max_len = len(header[i])