✨ feat: add --enforce-eager option to bench.py

Allow disabling CUDA graphs for benchmarking comparison between
eager mode and graph mode execution.

Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>

bench.py

@@ -58,6 +58,8 @@ def main():
                         help="Enable sparse policy routing (FullAttentionPolicy by default)")
     parser.add_argument("--gpu-util", type=float, default=0.9,
                         help="GPU memory utilization (default: 0.9)")
+    parser.add_argument("--enforce-eager", action="store_true",
+                        help="Disable CUDA graphs (default: False)")
     args = parser.parse_args()
 
     path = os.path.expanduser(args.model)
@@ -76,7 +78,7 @@ def main():
 
     llm = LLM(
         path,
-        enforce_eager=False,
+        enforce_eager=args.enforce_eager,
         max_model_len=max_len,
         max_num_batched_tokens=max_len,
         sparse_policy=sparse_policy,