[userbenchmark] Fix JSON file format Torch-TRT

- Remove error message strings in JSON, opting for -1.0 as the error
code instead
- A future PR will add separate `.txt` files for each erroring model

userbenchmark/torch_trt/run.py

@@ -102,6 +102,7 @@ def run_single_model(
             precision = model.get_model_attribute("dargs", "precision")
         else:
             pt2_compilation_time = getattr(model, "pt2_compilation_time", None)
+            pt2_graph_breaks = getattr(model, "pt2_graph_breaks", None)
             name = getattr(model, "name", None)
             batch_size = getattr(model, "batch_size", None)
             precision = getattr(model, "precision", None)
@@ -111,6 +112,12 @@ def run_single_model(
                 f"{name}.bs_{batch_size}.precision_{precision}."
                 + f"ir_{selected_ir}.pt2_compilation_time"
             ] = pt2_compilation_time
+
+        if pt2_graph_breaks is not None and pt2_graph_breaks:
+            metrics[
+                f"{name}.bs_{batch_size}.precision_{precision}."
+                + f"ir_{selected_ir}.pt2_graph_breaks"
+            ] = pt2_graph_breaks
     except:
         pass
 
@@ -277,9 +284,7 @@ def run(args: List[str]):
                 print(
                     f"\nBenchmarking model {model_name} failed with:\n{e}\nSkipping the model.\n"
                 )
-                metrics = {
-                    model_name: f"Failed to run benchmark: {traceback.format_exc()}"
-                }
+                metrics = {model_name: -1.0}
 
             # Halt further model runs on KeyboardInterrupt
             except KeyboardInterrupt:
@@ -290,9 +295,7 @@ def run(args: List[str]):
                 print(
                     f"\nBenchmarking model {model_name} failed.\nSkipping the model.\n"
                 )
-                metrics = {
-                    model_name: f"Failed to run benchmark: Error"
-                }
+                metrics = {model_name: -1.0}
 
             all_metrics = {**all_metrics, **metrics}