nit: format the file and rebase

Signed-off-by: vbaddi <[email protected]>

Author: vbaddi

tests/transformers/models/test_causal_lm_models.py

@@ -180,13 +180,19 @@ def check_causal_lm_pytorch_vs_kv_vs_ort_vs_ai100(
     )
     pytorch_kv_tokens = api_runner.run_kv_model_on_pytorch(qeff_model.model)
 
+<<<<<<< HEAD
     if model_name not in ModelConfig.SWIFTKV_MODELS:
         assert (pytorch_hf_tokens == pytorch_kv_tokens).all(), (
             "Tokens don't match for HF PyTorch model output and KV PyTorch model output"
         )
     assert (
         pytorch_hf_tokens == pytorch_kv_tokens
     ).all(), "Tokens don't match for HF PyTorch model output and KV PyTorch model output"
+=======
+    assert (pytorch_hf_tokens == pytorch_kv_tokens).all(), (
+        "Tokens don't match for HF PyTorch model output and KV PyTorch model output"
+    )
+>>>>>>> 684644e (nit: format the file)
 
     onnx_model_path = qeff_model.export()
     ort_tokens = api_runner.run_kv_model_on_ort(onnx_model_path, is_tlm=is_tlm)
@@ -212,13 +218,13 @@ def check_causal_lm_pytorch_vs_kv_vs_ort_vs_ai100(
         :, :gen_len
     ]  # Because we always run for single input and single batch size
     if prefill_only:
-        assert (
-            ort_tokens[0][0] == cloud_ai_100_tokens[0][0]
-        ).all(), "prefill run output tokens don't match for ONNXRT output and Cloud AI 100 output."
+        assert (ort_tokens[0][0] == cloud_ai_100_tokens[0][0]).all(), (
+            "prefill run output tokens don't match for ONNXRT output and Cloud AI 100 output."
+        )
     else:
-        assert (
-            ort_tokens == cloud_ai_100_tokens
-        ).all(), "Tokens don't match for ONNXRT output and Cloud AI 100 output."
+        assert (ort_tokens == cloud_ai_100_tokens).all(), (
+            "Tokens don't match for ONNXRT output and Cloud AI 100 output."
+        )
         assert os.path.isfile(os.path.join(os.path.dirname(qpc_path), "qconfig.json"))
     if prefill_only is not None:
         return
@@ -307,9 +313,9 @@ def test_causal_lm_export_with_deprecated_api(model_name):
     new_api_ort_tokens = api_runner.run_kv_model_on_ort(new_api_onnx_model_path)
     old_api_ort_tokens = api_runner.run_kv_model_on_ort(old_api_onnx_model_path)
 
-    assert (
-        new_api_ort_tokens == old_api_ort_tokens
-    ).all(), "New API output does not match old API output for ONNX export function"
+    assert (new_api_ort_tokens == old_api_ort_tokens).all(), (
+        "New API output does not match old API output for ONNX export function"
+    )
 
 
 @pytest.mark.on_qaic