Revert "[BE]: Enable Ruff + Flake8 G201,G202 logging format rule. (py…

…torch#114474)"

This reverts commit d30497f.

Reverted pytorch#114474 on behalf of https://github.com/huydhn due to Sorry for reverting your change, but I see a bunch of inductor failure after the commit https://hud.pytorch.org/pytorch/pytorch/commit/d30497f6b62007c9d1e3c38179528e9d25ac1292, trying to revert to see if it helps fix the issues ([comment](pytorch#114474 (comment)))

.flake8

@@ -18,7 +18,7 @@ ignore =
     # these ignores are from flake8-comprehensions; please fix!
     C407,
     # these ignores are from flake8-logging-format; please fix!
-    G100,G101,G200
+    G100,G101,G200,G201,G202
     # these ignores are from flake8-simplify. please fix or ignore with commented reason
     SIM105,SIM108,SIM110,SIM111,SIM113,SIM114,SIM115,SIM116,SIM117,SIM118,SIM119,SIM12,
     # flake8-simplify code styles

pyproject.toml

@@ -43,7 +43,7 @@ ignore = [
     "F821",
     "F841",
     # these ignores are from flake8-logging-format; please fix!
-    "G101",
+    "G101", "G201", "G202",
     # these ignores are from RUFF perf; please fix!
     "PERF203", "PERF4",
     # these ignores are from PYI; please fix!

torch/_dynamo/guards.py

@@ -1315,8 +1315,9 @@ def get_guard_fail_reason(
                 GuardFail(reason_str or "unknown reason", orig_code_map[code])
             )
     except Exception as e:
-        log.exception(
+        log.error(
             "Failure in guard_fail_fn callback - raising here will cause a NULL Error on guard eval",
+            exc_info=True,
         )
 
     return reason_str

torch/_dynamo/utils.py

@@ -400,7 +400,7 @@ def write_record_to_file(filename, exec_record):
             with open(filename, "wb") as f:
                 exec_record.dump(f)
     except Exception:
-        log.exception("Unable to write execution record %s", filename)
+        log.error("Unable to write execution record %s", filename, exc_info=True)
 
 
 def count_calls(g: fx.Graph):

torch/distributed/elastic/multiprocessing/api.py

@@ -477,13 +477,14 @@ def _poll(self) -> Optional[RunProcsResult]:
             failed_proc = self._pc.processes[failed_local_rank]
             error_filepath = self.error_files[failed_local_rank]
 
-            log.exception(
+            log.error(
                 "failed (exitcode: %s)"
                 " local_rank: %s (pid: %s)"
                 " of fn: %s (start_method: %s)",
                 failed_proc.exitcode,
                 failed_local_rank, e.pid,
                 fn_name, self.start_method,
+                exc_info=True,
             )
 
             self.close()

torch/distributed/elastic/timer/api.py

@@ -169,19 +169,20 @@ def _reap_worker_no_throw(self, worker_id: Any) -> bool:
         """
         try:
             return self._reap_worker(worker_id)
-        except Exception:
-            log.exception(
+        except Exception as e:
+            log.error(
                 "Uncaught exception thrown from _reap_worker(), "
                 "check that the implementation correctly catches exceptions",
+                exc_info=e,
             )
             return True
 
     def _watchdog_loop(self):
         while not self._stop_signaled:
             try:
                 self._run_watchdog()
-            except Exception:
-                log.exception("Error running watchdog")
+            except Exception as e:
+                log.error("Error running watchdog", exc_info=e)
 
     def _run_watchdog(self):
         batch_size = max(1, self._request_queue.size())

torch/distributed/elastic/timer/file_based_local_timer.py

@@ -225,8 +225,8 @@ def _watchdog_loop(self) -> None:
                     self._run_watchdog(fd)
                     if run_once:
                         break
-                except Exception:
-                    log.exception("Error running watchdog")
+                except Exception as e:
+                    log.error("Error running watchdog", exc_info=e)
 
     def _run_watchdog(self, fd: io.TextIOWrapper) -> None:
         timer_requests = self._get_requests(fd, self._max_interval)
@@ -328,6 +328,6 @@ def _reap_worker(self, worker_pid: int, signal: int) -> bool:
         except ProcessLookupError:
             log.info("Process with pid=%s does not exist. Skipping", worker_pid)
             return True
-        except Exception:
-            log.exception("Error terminating pid=%s", worker_pid)
+        except Exception as e:
+            log.error("Error terminating pid=%s", worker_pid, exc_info=e)
         return False

torch/distributed/elastic/timer/local_timer.py

@@ -120,6 +120,6 @@ def _reap_worker(self, worker_id: int) -> bool:
         except ProcessLookupError:
             log.info("Process with pid=%s does not exist. Skipping", worker_id)
             return True
-        except Exception:
-            log.exception("Error terminating pid=%s", worker_id)
+        except Exception as e:
+            log.error("Error terminating pid=%s", worker_id, exc_info=e)
         return False