comfy-execution: cache: cache errors is RAM cache sizing scan (#16314)

Some custom nodes hook iterables with side effects and in some cases
these can cause exception in workflows that belong in the past.

Guard against this so comfy stays up and does not trash a workflow
that was innocent based of a bug in a previous workflow.

comfy_execution/caching.py

@@ -1,6 +1,7 @@
 import asyncio
 import bisect
 import itertools
+import logging
 import time
 import torch
 from typing import Sequence, Mapping, Dict
@@ -564,6 +565,7 @@ class RAMPressureCache(LRUCache):
 
             ram_usage = RAM_CACHE_DEFAULT_RAM_USAGE
             oom_ram_usage = ram_usage
+            sizing_failed = False
             seen_storages = set()
             def scan_list_for_ram_usage(outputs):
                 nonlocal ram_usage, oom_ram_usage
@@ -588,9 +590,14 @@ class RAMPressureCache(LRUCache):
                         oom_ram_usage = 1e30
                     elif hasattr(output, "_comfy_cache_tensors"):
                         scan_list_for_ram_usage(output._comfy_cache_tensors())
-            scan_list_for_ram_usage(cache_entry.outputs)
+            try:
+                scan_list_for_ram_usage(cache_entry.outputs)
+            except Exception:
+                logging.warning("Could not size cache entry %s; evicting it first", key, exc_info=True)
+                sizing_failed = True
+                oom_ram_usage = 1e30
 
-            if ram_usage < min_entry_size:
+            if not sizing_failed and ram_usage < min_entry_size:
                 continue
 
             oom_score *= oom_ram_usage