models missing from dynamo_eager_torchbench_training.csv

benchmarks/dynamo/check_graph_breaks.py

@@ -56,7 +56,10 @@ def check_graph_breaks(actual_csv, expected_csv, expected_filename):
         expected_graph_breaks = get_field(expected_csv, model, "graph_breaks")
         flaky = model in flaky_models
 
-        if graph_breaks == expected_graph_breaks:
+        if expected_graph_breaks is None:
+            status = "MISSING:"
+            improved.append(model)
+        elif graph_breaks == expected_graph_breaks:
             status = "PASS_BUT_FLAKY" if flaky else "PASS"
             print(f"{model:34}  {status}")
             continue

benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_torchbench_training.csv

@@ -110,10 +110,18 @@ hf_GPT2_large,pass_due_to_skip,0
 
 
 
+hf_Longformer,pass,4
+
+
+
 hf_Reformer,pass,23
 
 
 
+hf_T5,pass,0
+
+
+
 hf_T5_base,eager_2nd_run_OOM,0
 
 
@@ -242,10 +250,18 @@ stable_diffusion_unet,pass_due_to_skip,0
 
 
 
+timm_efficientdet,pass,2
+
+
+
 timm_efficientnet,pass,7
 
 
 
+timm_nfnet,pass,0
+
+
+
 timm_regnet,pass,6