first draft, need to improve jit detection

Author: aseembits93

codeflash/code_utils/line_profile_utils.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import re
 from collections import defaultdict
 from pathlib import Path
 from typing import TYPE_CHECKING, Union
@@ -15,6 +16,28 @@
     from codeflash.discovery.functions_to_optimize import FunctionToOptimize
     from codeflash.models.models import CodeOptimizationContext
 
+# Regex pattern to detect JIT compilation decorators from numba, torch, tensorflow, and jax
+JIT_DECORATOR_PATTERN = re.compile(
+    r"@(?:"
+    # numba decorators
+    r"(?:numba\.)?(?:jit|njit|vectorize|guvectorize|stencil|cfunc|generated_jit)"
+    r"|numba\.cuda\.jit"
+    r"|cuda\.jit"
+    # torch decorators
+    r"|torch\.compile"
+    r"|torch\.jit\.(?:script|trace)"
+    # tensorflow decorators
+    r"|(?:tf|tensorflow)\.function"
+    # jax decorators
+    r"|jax\.jit"
+    r")"
+)
+
+
+def contains_jit_decorator(code: str) -> bool:
+    """Check if the code contains JIT compilation decorators from numba, torch, tensorflow, or jax."""
+    return bool(JIT_DECORATOR_PATTERN.search(code))
+
 
 class LineProfilerDecoratorAdder(cst.CSTTransformer):
     """Transformer that adds a decorator to a function with a specific qualified name."""

codeflash/optimization/function_optimizer.py

@@ -66,7 +66,7 @@
 from codeflash.code_utils.formatter import format_code, format_generated_code, sort_imports
 from codeflash.code_utils.git_utils import git_root_dir
 from codeflash.code_utils.instrument_existing_tests import inject_profiling_into_existing_test
-from codeflash.code_utils.line_profile_utils import add_decorator_imports
+from codeflash.code_utils.line_profile_utils import add_decorator_imports, contains_jit_decorator
 from codeflash.code_utils.static_analysis import get_first_top_level_function_or_method_ast
 from codeflash.code_utils.time_utils import humanize_runtime
 from codeflash.context import code_context_extractor
@@ -2389,6 +2389,23 @@ def get_test_env(
     def line_profiler_step(
         self, code_context: CodeOptimizationContext, original_helper_code: dict[Path, str], candidate_index: int
     ) -> dict:
+        # Check if candidate code contains JIT decorators - line profiler doesn't work with JIT compiled code
+        candidate_fto_code = Path(self.function_to_optimize.file_path).read_text("utf-8")
+        if contains_jit_decorator(candidate_fto_code):
+            logger.info(
+                f"Skipping line profiler for {self.function_to_optimize.function_name} - code contains JIT decorator"
+            )
+            return {"timings": {}, "unit": 0, "str_out": ""}
+
+        # Check helper code for JIT decorators
+        for module_abspath in original_helper_code:
+            candidate_helper_code = Path(module_abspath).read_text("utf-8")
+            if contains_jit_decorator(candidate_helper_code):
+                logger.info(
+                    f"Skipping line profiler for {self.function_to_optimize.function_name} - helper code contains JIT decorator"
+                )
+                return {"timings": {}, "unit": 0, "str_out": ""}
+
         try:
             console.rule()