Add per-section timing to log_inference

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

logging_utils.py

@@ -159,19 +159,33 @@ def log_inference(pil_inputs, output_pil, prompt, seed, steps, guidance_scale,
         from huggingface_hub import HfApi
 
         now = datetime.now(timezone.utc)
+
+        _t1 = _time.perf_counter()
         table = _build_table(pil_inputs, output_pil, prompt, seed, steps, guidance_scale,
                              input_width, input_height, duration_seconds, success, error_message, now)
+        print(f"[log]   build_table:       {_time.perf_counter() - _t1:.3f}s")
 
         uid = uuid.uuid4().hex[:8]
         path_in_repo = _make_path(now, uid)
 
+        _t2 = _time.perf_counter()
         api = HfApi(token=HF_TOKEN)
         api.create_repo(repo_id=DATASET_REPO, repo_type="dataset", private=True, exist_ok=True)
+        print(f"[log]   create_repo:       {_time.perf_counter() - _t2:.3f}s")
+
+        _t3 = _time.perf_counter()
         _upload_parquet(api, DATASET_REPO, table, path_in_repo)
+        print(f"[log]   upload_parquet:    {_time.perf_counter() - _t3:.3f}s")
+
+        _t4 = _time.perf_counter()
         _prune_old_files(api, DATASET_REPO, MAX_LOG_DAYS, now)
+        print(f"[log]   prune_old_files:   {_time.perf_counter() - _t4:.3f}s")
+
+        _t5 = _time.perf_counter()
         _maybe_squash_history(api, DATASET_REPO, now)
+        print(f"[log]   squash_history:    {_time.perf_counter() - _t5:.3f}s")
     except Exception as log_err:
         import traceback as _tb
         print(f"[log] WARNING: {log_err}\n{_tb.format_exc()}")
     finally:
-        print(f"[log] log_inference took {_time.perf_counter() - _t0:.3f}s")
+        print(f"[log] log_inference total: {_time.perf_counter() - _t0:.3f}s")