Added a new test to check whether some transformations is applied during conversion or completion

tests/openvino/transformations/expected_transformations.txt

@@ -0,0 +1,6 @@
+
+# Format: arch_name: Transformation1, Transformation2
+
+
+afmoe: MoEMatMulsFusion,ConvertToCPUSpecificOpset
+gpt2: ConvertToCPUSpecificOpset,MatMulToFCFusion

tests/openvino/transformations/test_transformations.py

@@ -0,0 +1,174 @@
+import os
+import sys
+import unittest
+
+
+
+# we are adding this , so the parent directory (tests/openvino/) is in the python search path for utils_test.py to be imported
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
+
+
+import subprocess
+import textwrap
+import re
+from difflib import get_close_matches
+
+from parameterized import parameterized
+from utils_tests import MODEL_NAMES, OPENVINO_DEVICE, REMOTE_CODE_MODELS
+
+
+
+
+
+# Maps architecture name -> list of  transformation needed to be applied , as per expected_transformations.txt
+def _load_expected_transformations(path):
+    result = {}
+    with open(path) as f:
+        for line in f:
+            line = line.strip()
+            if not line or line.startswith("#"):
+                continue
+            arch, _, transforms_str = line.partition(":")
+            result[arch.strip()] = [
+                t.strip() for t in transforms_str.split(",") if t.strip()
+            ]
+    return result
+
+
+_CONFIG_PATH = os.path.join(
+    os.path.dirname(__file__), "expected_transformations.txt"
+)
+ARCH_TO_EXPECTED_TRANSFORMATIONS = _load_expected_transformations(_CONFIG_PATH)
+
+
+def _capture_stderr_during(model_id, OPENVINO_DEVICE, trust_remote_code):
+    #  Runs model loading in a subprocess to reliably capture OpenVINO C++ logs.
+
+    code = textwrap.dedent(f"""
+        import os
+        os.environ["OV_ENABLE_PROFILE_PASS"] = "1"
+
+        from optimum.intel import OVModelForCausalLM
+
+        OVModelForCausalLM.from_pretrained(
+            "{model_id}",
+            export=True,
+            compile=True,
+            device="{OPENVINO_DEVICE}",
+            trust_remote_code={trust_remote_code},
+        )
+    """)
+
+    result = subprocess.run(
+        [sys.executable, "-c", code],
+        stdout=subprocess.PIPE, 
+       stderr=subprocess.STDOUT, 
+        text=True,
+    )
+
+    return result.stdout
+
+
+# Remove separators and lowercase for fuzzy comparison.
+def normalize(name: str) -> str:
+    return re.sub(r'[\s_\-]', '', name).lower()
+
+
+# Extract transformation name — always last token before NUMBERms +/-
+def extract_transform_name(line: str) -> str | None:
+    match = re.search(
+        r'([A-Za-z][A-Za-z0-9_]*)\s+\d+ms\s*[+-]\s*$',
+        line.strip()
+    )
+    return match.group(1) if match else None
+
+
+# Algo to identify tranformations present with '+' in the log.
+def check_failed_transformations(log: str, words: list[str]) -> dict:
+    applied_raw = []
+    applied_norm = []
+
+    for line in log.splitlines():
+        stripped = line.strip()
+
+        if not stripped:
+            continue
+
+        if not stripped.endswith('+'):  #  neglect '-' because those transformations are not applied
+            continue
+
+        name = extract_transform_name(stripped)
+        if name:
+            applied_raw.append(name)
+            applied_norm.append(normalize(name))
+
+    remaining = {normalize(w): w for w in words}
+
+    for key in list(remaining.keys()):
+        if key in applied_norm:
+            del remaining[key]
+
+    hints = {}
+    for key, original in remaining.items():
+        matches = get_close_matches(key, applied_norm, n=2, cutoff=0.8)
+
+        if matches:
+            readable = [
+                applied_raw[applied_norm.index(m)]
+                for m in matches
+            ]
+            hints[original] = readable
+
+    return {
+        "not_found": list(remaining.values()),
+        "hints": hints
+    }
+
+
+class OVTransformationTest(unittest.TestCase):
+
+    @parameterized.expand(
+        list(ARCH_TO_EXPECTED_TRANSFORMATIONS.items())
+    )
+    def test_transformations_applied(
+        self,
+        model_arch,
+        expected_transforms
+    ):
+        model_id = MODEL_NAMES[model_arch]
+        trust_remote_code = model_arch in REMOTE_CODE_MODELS
+
+        log_output = _capture_stderr_during(
+            model_id,
+            OPENVINO_DEVICE,
+            trust_remote_code
+        )
+
+        result = check_failed_transformations(
+            log_output,
+            expected_transforms
+        )
+
+        if result["not_found"]:
+            not_found = ", ".join(result["not_found"])
+            hints = result["hints"]
+
+            hint_lines = ""
+
+            if hints:
+                hint_lines = (
+                    "\nPossible matches in log:\n"
+                    + "\n".join(
+                        f"  '{wrong}' → did you mean '{', '.join(suggestions)}'?"
+                        for wrong, suggestions in hints.items()
+                    )
+                )
+
+            raise AssertionError(
+                f"The following transformations were not applied for '{model_arch}' architecture: "
+                f"{not_found}{hint_lines}"
+            )
+
+
+if __name__ == "__main__":
+    unittest.main()