The following have been reloaded with a version change: 1) GCCcore/.14.3.0 => GCCcore/14.3.0 Lmod is automatically replacing "GCC/14.3.0" with "nvidia-compilers/25.9-CUDA-13". Deactivating conda environment: /e/scratch/jureap59/feuer1/miniforge3/envs/otagent Activating RL environment: /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl Python executable: /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/bin/python Python path check: /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/bin/python [ray] RAY_TMPDIR=/tmp/ray/ray_630129 [triton_cache] Triton cache: /tmp/triton_cache_feuer1_630129 [triton_cache] TorchInductor cache: /tmp/torchinductor_cache_feuer1_630129 [proxy] ✓ Found proxychains binary at /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 [proxy] Setting up SSH tunnel to jpbl-s01-01 [proxy] SSH key: /e/home/jusers/feuer1/jupiter/.ssh/authorized_keys/id_ed25519_jsc [proxy] Tunnel port: 7003 [proxy] Node IP: 10.128.32.33 (workers will connect here) [proxy] ✓ SSH tunnel started successfully [proxy] ✓ Generated proxychains config at /e/home/jusers/feuer1/jupiter/.proxychains/proxychains_630129.conf [proxy] - Internal traffic (10.x.x.x, 172.x.x.x, 169.254.x.x) → DIRECT [proxy] - External traffic (internet) → PROXY via tunnel [proxy] ✓ Daytona timeout settings configured [proxy] Testing proxy connectivity... [proxychains] config file found: /e/home/jusers/feuer1/jupiter/.proxychains/proxychains_630129.conf [proxychains] preloading /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/lib/libproxychains4.so [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [proxy] ✓ Proxy connectivity test passed (huggingface.co reachable via wrapped binary) [proxy] ⚠ Tunnel not accessible at 10.128.32.33:7003 (workers may fail) [proxy] ✓ Proxy setup complete (using wrapped binary for Ray workers) [container_runtime] Using cloud backend: daytona (no local container setup) === Universal RL Training Runner === Config: /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/configs/ablation-pymethods2test-seqmean-arm0_rl_config.json Working directory: /e/scratch/jureap59/feuer1/OpenThoughts-Agent Python: /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/bin/python Python version: Python 3.12.12 UV_USE_IO_URING: 0 Proxy: DISABLED (direct internet or not configured) ======================================== === RLJobRunner: ablation-pymethods2test-seqmean-arm0 === [wandb_utils] Fixing permissions on: /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/wandb [wandb_utils] WandB directory ready: /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/wandb HF_TOKEN=****pDbg HF_HUB_CACHE=/e/data1/datasets/playground/ot-baf/hf_hub SUPABASE_URL=https://rpzmyuapoqilpghynmza.s... (direct Supabase config) Environment configured: TENSOR_PARALLEL_SIZE=1 NUM_INFERENCE_ENGINES=56 POLICY_NUM_NODES=14 WANDB_DIR=/e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/wandb Starting Ray cluster with 14 nodes, 4 GPUs/node Cleaning up existing Ray instances... === Starting Ray Cluster === Nodes: 14 GPUs per node: 4 CPUs per node: 288 Head node: jpbo-041-33 (10.128.32.33) Ray port: 6379 ============================ Starting Ray head on jpbo-041-33 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_head_jpbo-041-33.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.33 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-33 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --head --node-ip-address=10.128.32.33 --port=6379 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray head on jpbo-041-33 Starting Ray worker on jpbo-041-34 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-34.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.34 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-34 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.34 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 1 on jpbo-041-34 Starting Ray worker on jpbo-041-35 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-35.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.35 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-35 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.35 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 2 on jpbo-041-35 Starting Ray worker on jpbo-041-36 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-36.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.36 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-36 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.36 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 3 on jpbo-041-36 Starting Ray worker on jpbo-041-37 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-37.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.37 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-37 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.37 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 4 on jpbo-041-37 Starting Ray worker on jpbo-041-38 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-38.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.38 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-38 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.38 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 5 on jpbo-041-38 Starting Ray worker on jpbo-041-39 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-39.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.39 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-39 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.39 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 6 on jpbo-041-39 Starting Ray worker on jpbo-041-40 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-40.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.40 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-40 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.40 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 7 on jpbo-041-40 Starting Ray worker on jpbo-041-41 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-41.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.41 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-41 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.41 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 8 on jpbo-041-41 Starting Ray worker on jpbo-041-42 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-42.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.42 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-42 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.42 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 9 on jpbo-041-42 Starting Ray worker on jpbo-041-43 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-43.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.43 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-43 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.43 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 10 on jpbo-041-43 Starting Ray worker on jpbo-041-44 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-44.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.44 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-44 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.44 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 11 on jpbo-041-44 Starting Ray worker on jpbo-041-45 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-45.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.45 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-45 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.45 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 12 on jpbo-041-45 Starting Ray worker on jpbo-041-46 (logging to /e/data1/datasets/playground/ot-baf/experiments/_ray_logs/ray_worker_jpbo-041-46.log)... Command: srun --export=ALL,VLLM_HOST_IP=10.128.32.46 --nodes=1 --ntasks=1 --gres=gpu:4 --gpu-bind=none --overlap --cpu-bind=none -w jpbo-041-46 bash -c /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f "$PROXYCHAINS_CONF_FILE" ray start --address=10.128.32.33:6379 --node-ip-address=10.128.32.46 --num-gpus=4 --num-cpus=288 --block --object-store-memory=42949672960 Started Ray worker 13 on jpbo-041-46 Waiting for cluster (56 GPUs, 14 nodes)... Connecting to Ray at 10.128.32.33:6379 (expecting 14 nodes, 56.0 GPUs) Ray connection established, polling for resources... [Ray wait] nodes=12/14 GPUs=48.0/56.0 resources={'accelerator_type:GH200': 12.0, 'GPU': 48.0, 'CPU': 3456.0, 'memory': 9095679574016.0, 'object_store_memory': 515396075520.0, 'node:10.128.32.35': 1.0, 'node:10.128.32.42': 1.0, 'node:10.128.32.33': 1.0, 'node:__internal_head__': 1.0, 'node:10.128.32.34': 1.0, 'node:10.128.32.40': 1.0, 'node:10.128.32.43': 1.0, 'node:10.128.32.38': 1.0, 'node:10.128.32.44': 1.0, 'node:10.128.32.36': 1.0, 'node:10.128.32.41': 1.0, 'node:10.128.32.45': 1.0, 'node:10.128.32.39': 1.0} [Ray wait] nodes=13/14 GPUs=52.0/56.0 resources={'accelerator_type:GH200': 13.0, 'GPU': 52.0, 'object_store_memory': 558345748480.0, 'memory': 9872149315584.0, 'CPU': 3744.0, 'node:10.128.32.35': 1.0, 'node:10.128.32.42': 1.0, 'node:10.128.32.33': 1.0, 'node:__internal_head__': 1.0, 'node:10.128.32.34': 1.0, 'node:10.128.32.40': 1.0, 'node:10.128.32.43': 1.0, 'node:10.128.32.38': 1.0, 'node:10.128.32.44': 1.0, 'node:10.128.32.46': 1.0, 'node:10.128.32.36': 1.0, 'node:10.128.32.41': 1.0, 'node:10.128.32.45': 1.0, 'node:10.128.32.39': 1.0} [Ray wait] nodes=13/14 GPUs=52.0/56.0 resources={'accelerator_type:GH200': 13.0, 'GPU': 52.0, 'object_store_memory': 558345748480.0, 'memory': 9872149315584.0, 'CPU': 3744.0, 'node:10.128.32.35': 1.0, 'node:10.128.32.42': 1.0, 'node:10.128.32.33': 1.0, 'node:__internal_head__': 1.0, 'node:10.128.32.34': 1.0, 'node:10.128.32.40': 1.0, 'node:10.128.32.43': 1.0, 'node:10.128.32.38': 1.0, 'node:10.128.32.44': 1.0, 'node:10.128.32.46': 1.0, 'node:10.128.32.36': 1.0, 'node:10.128.32.41': 1.0, 'node:10.128.32.45': 1.0, 'node:10.128.32.39': 1.0} [Ray wait] nodes=13/14 GPUs=52.0/56.0 resources={'accelerator_type:GH200': 13.0, 'GPU': 52.0, 'CPU': 3744.0, 'memory': 9872149315584.0, 'object_store_memory': 558345748480.0, 'node:10.128.32.35': 1.0, 'node:10.128.32.42': 1.0, 'node:10.128.32.33': 1.0, 'node:__internal_head__': 1.0, 'node:10.128.32.34': 1.0, 'node:10.128.32.40': 1.0, 'node:10.128.32.43': 1.0, 'node:10.128.32.38': 1.0, 'node:10.128.32.44': 1.0, 'node:10.128.32.46': 1.0, 'node:10.128.32.36': 1.0, 'node:10.128.32.41': 1.0, 'node:10.128.32.45': 1.0, 'node:10.128.32.39': 1.0} [Ray wait] nodes=14/14 GPUs=56.0/56.0 resources={'accelerator_type:GH200': 14.0, 'GPU': 56.0, 'object_store_memory': 601295421440.0, 'memory': 10634851450880.0, 'node:10.128.32.41': 1.0, 'CPU': 4032.0, 'node:10.128.32.45': 1.0, 'node:10.128.32.34': 1.0, 'node:10.128.32.35': 1.0, 'node:10.128.32.43': 1.0, 'node:10.128.32.44': 1.0, 'node:10.128.32.40': 1.0, 'node:10.128.32.36': 1.0, 'node:10.128.32.37': 1.0, 'node:10.128.32.39': 1.0, 'node:10.128.32.33': 1.0, 'node:__internal_head__': 1.0, 'node:10.128.32.42': 1.0, 'node:10.128.32.46': 1.0, 'node:10.128.32.38': 1.0} ✓ Ray cluster ready === Ray Cluster Ready === Address: 10.128.32.33:6379 Total GPUs: 56 ========================= Ray cluster ready at 10.128.32.33:6379 Total GPUs available: 56 [RLJobRunner] Pinggy check: url=False, token=False, needs_tunnel=False (agent=terminus-2, env=daytona) [RLJobRunner] No Pinggy tunnel needed, using local vLLM Running SkyRL: Python: /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/bin/python Entrypoint: examples.terminal_bench.entrypoints.main_tbench Args: 120 Hydra arguments Working dir: /e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train Using proxychains binary: /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 Executing command with srun: /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/bin/proxychains4 -f $PROXYCHAINS_CONF_FILE /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/bin/python -m examples.terminal_bench.entrypoints.main_tbench +terminal_bench_config=terminal_bench trainer.strategy=fsdp2 trainer.algorithm.advantage_estimator=rloo_n trainer.algorithm.use_kl_loss=false trainer.algorithm.kl_loss_coef=0.0 trainer.algorithm.eps_clip_low=0.2 trainer.algorithm.eps_clip_high=0.05 trainer.algorithm.loss_reduction=sequence_mean trainer.epochs=2 trainer.max_steps=80 trainer.update_epochs_per_batch=1 trainer.train_batch_size=64 trainer.policy_mini_batch_size=64 trainer.eval_batch_size=64 trainer.micro_forward_batch_size_per_gpu=4 trainer.micro_train_batch_size_per_gpu=1 trainer.max_prompt_length=999999 trainer.eval_interval=999999 trainer.eval_before_train=false trainer.ckpt_interval=2 trainer.resume_mode=latest trainer.hf_save_interval=5 ++trainer.hf_hub_repo_id=laion/ablation-pymethods2test-seqmean-arm0 ++trainer.hf_hub_private=false ++trainer.hf_hub_revision=main ++trainer.enable_db_registration=false trainer.project_name=OpenThoughts-Agent trainer.log_level=INFO trainer.tracker_commit_each_step=true trainer.logger=console trainer.run_name=ablation-pymethods2test-seqmean-arm0 trainer.ckpt_path=/e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/checkpoints trainer.export_path=/e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/exports trainer.policy.optimizer_config.lr=8e-6 trainer.policy.optimizer_config.weight_decay=0.0 trainer.policy.optimizer_config.adam_betas=[0.9,0.999] trainer.policy.optimizer_config.max_grad_norm=0.9 trainer.policy.fsdp_config.cpu_offload=false trainer.policy.fsdp_config.reshard_after_forward=true trainer.policy.fsdp_config.fsdp_size=4 trainer.policy.model.path=/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6 trainer.ref.fsdp_config.cpu_offload=false trainer.ref.fsdp_config.reshard_after_forward=true trainer.ref.fsdp_config.fsdp_size=4 trainer.placement.colocate_all=false trainer.placement.policy_num_nodes=2 trainer.placement.ref_num_nodes=2 trainer.placement.policy_num_gpus_per_node=4 trainer.placement.ref_num_gpus_per_node=4 trainer.fully_async.max_staleness_steps=16 trainer.fully_async.num_parallel_generation_workers=338 generator.backend=vllm generator.timeout_multiplier=1.0 generator.model_dtype=bfloat16 generator.inference_engine_tensor_parallel_size=1 generator.num_inference_engines=48 generator.n_samples_per_prompt=8 generator.eval_n_samples_per_prompt=8 generator.gpu_memory_utilization=0.75 generator.max_num_seqs=24 generator.max_num_batched_tokens=65536 generator.enable_prefix_caching=true generator.enable_chunked_prefill=true generator.run_engines_locally=true generator.weight_sync_backend=nccl generator.async_engine=true generator.batched=false generator.enable_http_endpoint=true generator.enable_ray_prometheus_stats=false generator.vllm_stats_interval=1 generator.append_eos_token_after_stop_str_in_multi_turn=true generator.max_turns=999999 generator.sampling_params.max_generate_length=4096 generator.sampling_params.temperature=0.7 generator.sampling_params.top_p=0.95 generator.sampling_params.top_k=20 ++generator.engine_init_kwargs.max_model_len=32768 ++generator.engine_init_kwargs.custom_chat_template_chat_completion_path=chat_templates/qwen3_thinking_acc.jinja2 ++generator.engine_init_kwargs.served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6 data.train_data=["/e/scratch/jureap59/feuer1/tasks/exp_rpt_pymethods2test-large"] data.val_data=[] +terminal_bench_config.trials_dir=/e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/trace_jobs +terminal_bench_config.harbor.name=terminus-2 +terminal_bench_config.harbor.max_episodes=999999 +terminal_bench_config.harbor.enable_summarize=false +terminal_bench_config.harbor.store_all_messages=true +terminal_bench_config.harbor.trajectory_config.raw_content=true +terminal_bench_config.harbor.enable_episode_logging=false +terminal_bench_config.harbor.record_terminal_session=false +terminal_bench_config.harbor.enable_pane_logging=false +terminal_bench_config.harbor.strict_json_parser=true +terminal_bench_config.harbor.interleaved_thinking=true +terminal_bench_config.harbor.extra_body.chat_template_kwargs.enable_thinking=true +terminal_bench_config.harbor.override_timeout_sec=900 +terminal_bench_config.harbor.override_cpus=1 +terminal_bench_config.harbor.override_memory_mb=2048 +terminal_bench_config.harbor.override_storage_mb=2048 +terminal_bench_config.harbor.auto_snapshot=true +terminal_bench_config.harbor.verifier_override_timeout_sec=120 +terminal_bench_config.harbor.max_retries=3 +terminal_bench_config.harbor.min_wait_sec=60.0 +terminal_bench_config.harbor.max_wait_sec=600.0 +terminal_bench_config.harbor.wait_multiplier=2.0 +terminal_bench_config.harbor.exclude_exceptions=["VerifierTimeoutError","VerifierRuntimeError","RewardFileNotFoundError","RewardFileEmptyError","VerifierOutputParseError"] +terminal_bench_config.harbor.n_concurrent_trials=675 +terminal_bench_config.harbor.log_level=INFO +terminal_bench_config.harbor.enable_reward_shaping=false +terminal_bench_config.harbor.enable_error_classification=true +terminal_bench_config.harbor.mask_exceptions=["DaytonaError","EnvironmentStartTimeoutError","NetworkError","ConnectionError","RewardFileNotFoundError","RewardFileEmptyError","AgentEnvironmentTimeoutError","ContextLengthExceededError"] +terminal_bench_config.harbor.default_error_treatment=zero +terminal_bench_config.harbor.passthrough_exceptions=["AgentTimeoutError"] +terminal_bench_config.harbor.zero_exceptions=[] +terminal_bench_config.model_info.max_input_tokens=32000 +terminal_bench_config.model_info.max_output_tokens=4096 +terminal_bench_config.archiving.enabled=false +terminal_bench_config.trace_upload.enabled=true +terminal_bench_config.trace_upload.repo_org=DCAgent +terminal_bench_config.trace_upload.episodes=last +terminal_bench_config.trace_upload.dataset_type=SFT +terminal_bench_config.trace_upload.cleanup=true [proxychains] config file found: /e/home/jusers/feuer1/jupiter/.proxychains/proxychains_630129.conf [proxychains] preloading /e/scratch/jureap59/feuer1/proxychains-ng-aarch64/lib/libproxychains4.so [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e 2026-06-07 16:02:29.538 | INFO | skyrl_train.utils.utils:prepare_runtime_environment:753 - Exporting wandb api key to ray runtime env 2026-06-07 16:02:29.538 | INFO | skyrl_train.utils.utils:prepare_runtime_environment:772 - Exporting RAY_ADDRESS to ray runtime env 2026-06-07 16:02:29.538 | INFO | skyrl_train.utils.utils:prepare_runtime_environment:797 - Exporting `NCCL_SOCKET_IFNAME` to ray runtime env: ib0 2026-06-07 16:02:29.538 | INFO | skyrl_train.utils.utils:prepare_runtime_environment:797 - Exporting `NCCL_SOCKET_FAMILY` to ray runtime env: AF_INET 2026-06-07 16:02:29.538 | INFO | skyrl_train.utils.utils:prepare_runtime_environment:797 - Exporting `NCCL_DEBUG` to ray runtime env: WARN 2026-06-07 16:02:29,539 INFO worker.py:1680 -- Using address 10.128.32.33:6379 set in the environment variable RAY_ADDRESS 2026-06-07 16:02:29,574 INFO worker.py:1821 -- Connecting to existing Ray cluster at address: 10.128.32.33:6379... 2026-06-07 16:02:29,585 INFO worker.py:2007 -- Connected to Ray cluster. /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_private/worker.py:2046: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0 warnings.warn( (raylet, ip=10.128.32.41) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e 2026-06-07 16:02:32.338 | INFO | skyrl_train.utils.ppo_utils:sync_registries:546 - Synced registries to ray actor (skyrl_entrypoint pid=391889) 2026-06-07 16:02:41.646 | INFO  | skyrl_train.entrypoints.main_base:_configure_log_level:212 - SkyRL log level set to: INFO (raylet) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 17x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) (skyrl_entrypoint pid=391889) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. (skyrl_entrypoint pid=391889) 2026-06-07 16:02:42.007 | INFO  | examples.terminal_bench.dataset:_load_data_files:40 - Loading data from: /e/scratch/jureap59/feuer1/tasks/exp_rpt_pymethods2test-large [2026-06-07 16:02:59,789 E 391407 391863] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (RegistryActor pid=2613231, ip=10.128.32.41) [2026-06-07 16:03:00,820 E 2613231 2613271] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (skyrl_entrypoint pid=391889) 2026-06-07 16:03:39.460 | INFO  | examples.terminal_bench.dataset:_load_data_files:50 - Found 5000 valid task directories out of 5000 total directories (skyrl_entrypoint pid=391889) 2026-06-07 16:03:39.461 | INFO  | examples.terminal_bench.dataset:__init__:27 - TerminalBenchTaskDataset initialized with 5000 task paths (skyrl_entrypoint pid=391889) 2026-06-07 16:03:39.473 | INFO  | skyrl_train.entrypoints.main_base:_setup_trainer:405 - data: (skyrl_entrypoint pid=391889) train_data: (skyrl_entrypoint pid=391889) - /e/scratch/jureap59/feuer1/tasks/exp_rpt_pymethods2test-large (skyrl_entrypoint pid=391889) val_data: [] (skyrl_entrypoint pid=391889) trainer: (skyrl_entrypoint pid=391889) placement: (skyrl_entrypoint pid=391889) colocate_all: false (skyrl_entrypoint pid=391889) colocate_policy_ref: true (skyrl_entrypoint pid=391889) policy_num_nodes: 2 (skyrl_entrypoint pid=391889) policy_num_gpus_per_node: 4 (skyrl_entrypoint pid=391889) critic_num_nodes: 1 (skyrl_entrypoint pid=391889) critic_num_gpus_per_node: 4 (skyrl_entrypoint pid=391889) ref_num_nodes: 2 (skyrl_entrypoint pid=391889) ref_num_gpus_per_node: 4 (skyrl_entrypoint pid=391889) policy_strict_spread_pg: false (skyrl_entrypoint pid=391889) policy_per_gpu_bundles: false (skyrl_entrypoint pid=391889) policy_force_cvd_mask: false (skyrl_entrypoint pid=391889) sequence_parallel_backend: ulysses (skyrl_entrypoint pid=391889) strategy: fsdp2 (skyrl_entrypoint pid=391889) policy: (skyrl_entrypoint pid=391889) model: (skyrl_entrypoint pid=391889) path: /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6 (skyrl_entrypoint pid=391889) lora: (skyrl_entrypoint pid=391889) rank: 0 (skyrl_entrypoint pid=391889) alpha: 16 (skyrl_entrypoint pid=391889) dropout: 0 (skyrl_entrypoint pid=391889) lora_sync_path: /tmp/skyrl_lora_sync (skyrl_entrypoint pid=391889) target_modules: all-linear (skyrl_entrypoint pid=391889) exclude_modules: null (skyrl_entrypoint pid=391889) deepspeed_config: ${deepspeed_config.train} (skyrl_entrypoint pid=391889) optimizer_config: (skyrl_entrypoint pid=391889) optimizer: AdamW (skyrl_entrypoint pid=391889) lr: 8.0e-06 (skyrl_entrypoint pid=391889) adam_betas: (skyrl_entrypoint pid=391889) - 0.9 (skyrl_entrypoint pid=391889) - 0.999 (skyrl_entrypoint pid=391889) weight_decay: 0.0 (skyrl_entrypoint pid=391889) max_grad_norm: 0.9 (skyrl_entrypoint pid=391889) offload_after_step: true (skyrl_entrypoint pid=391889) num_warmup_steps: 0 (skyrl_entrypoint pid=391889) scheduler: constant_with_warmup (skyrl_entrypoint pid=391889) optimizer_kwargs: {} (skyrl_entrypoint pid=391889) fsdp_config: (skyrl_entrypoint pid=391889) cpu_offload: false (skyrl_entrypoint pid=391889) reshard_after_forward: true (skyrl_entrypoint pid=391889) fsdp_size: 4 (skyrl_entrypoint pid=391889) expert_model_parallel_size: 1 (skyrl_entrypoint pid=391889) expert_tensor_parallel_size: 1 (skyrl_entrypoint pid=391889) moe_token_dispatcher_type: alltoall (skyrl_entrypoint pid=391889) moe_router_replay: false (skyrl_entrypoint pid=391889) moe_grouped_gemm: false (skyrl_entrypoint pid=391889) ep_comm_backend: torch (skyrl_entrypoint pid=391889) deepep_num_sms: 20 (skyrl_entrypoint pid=391889) deepep_token_chunk_size: null (skyrl_entrypoint pid=391889) sequence_parallel_size: 1 (skyrl_entrypoint pid=391889) use_torch_compile: false (skyrl_entrypoint pid=391889) record_memory: false (skyrl_entrypoint pid=391889) megatron_config: (skyrl_entrypoint pid=391889) tensor_model_parallel_size: 1 (skyrl_entrypoint pid=391889) pipeline_model_parallel_size: 1 (skyrl_entrypoint pid=391889) context_parallel_size: 1 (skyrl_entrypoint pid=391889) expert_model_parallel_size: 1 (skyrl_entrypoint pid=391889) expert_tensor_parallel_size: null (skyrl_entrypoint pid=391889) ddp_config: (skyrl_entrypoint pid=391889) grad_reduce_in_fp32: true (skyrl_entrypoint pid=391889) overlap_grad_reduce: false (skyrl_entrypoint pid=391889) overlap_param_gather: false (skyrl_entrypoint pid=391889) average_in_collective: true (skyrl_entrypoint pid=391889) model_config_kwargs: {} (skyrl_entrypoint pid=391889) torch_profiler_config: (skyrl_entrypoint pid=391889) enable: false (skyrl_entrypoint pid=391889) ranks: [] (skyrl_entrypoint pid=391889) save_path: null (skyrl_entrypoint pid=391889) optimizer_config_kwargs: (skyrl_entrypoint pid=391889) overlap_cpu_optimizer_d2h_h2d: false (skyrl_entrypoint pid=391889) use_precision_aware_optimizer: false (skyrl_entrypoint pid=391889) optimizer_cpu_offload: false (skyrl_entrypoint pid=391889) optimizer_offload_fraction: 0.0 (skyrl_entrypoint pid=391889) transformer_config_kwargs: (skyrl_entrypoint pid=391889) recompute_granularity: full (skyrl_entrypoint pid=391889) recompute_modules: (skyrl_entrypoint pid=391889) - core_attn (skyrl_entrypoint pid=391889) recompute_method: uniform (skyrl_entrypoint pid=391889) recompute_num_layers: 1 (skyrl_entrypoint pid=391889) empty_cuda_cache: true (skyrl_entrypoint pid=391889) ref: (skyrl_entrypoint pid=391889) model: (skyrl_entrypoint pid=391889) path: ${trainer.policy.model.path} (skyrl_entrypoint pid=391889) sequence_parallel_size: 1 (skyrl_entrypoint pid=391889) deepspeed_config: ${deepspeed_config.eval} (skyrl_entrypoint pid=391889) fsdp_config: (skyrl_entrypoint pid=391889) cpu_offload: false (skyrl_entrypoint pid=391889) reshard_after_forward: true (skyrl_entrypoint pid=391889) fsdp_size: 4 (skyrl_entrypoint pid=391889) expert_model_parallel_size: 1 (skyrl_entrypoint pid=391889) expert_tensor_parallel_size: 1 (skyrl_entrypoint pid=391889) moe_token_dispatcher_type: alltoall (skyrl_entrypoint pid=391889) moe_router_replay: false (skyrl_entrypoint pid=391889) moe_grouped_gemm: false (skyrl_entrypoint pid=391889) ep_comm_backend: torch (skyrl_entrypoint pid=391889) deepep_num_sms: 20 (skyrl_entrypoint pid=391889) deepep_token_chunk_size: null (skyrl_entrypoint pid=391889) megatron_config: (skyrl_entrypoint pid=391889) tensor_model_parallel_size: 1 (skyrl_entrypoint pid=391889) pipeline_model_parallel_size: 1 (skyrl_entrypoint pid=391889) context_parallel_size: 1 (skyrl_entrypoint pid=391889) expert_model_parallel_size: 1 (skyrl_entrypoint pid=391889) expert_tensor_parallel_size: 1 (skyrl_entrypoint pid=391889) model_config_kwargs: {} (skyrl_entrypoint pid=391889) transformer_config_kwargs: {} (skyrl_entrypoint pid=391889) critic: (skyrl_entrypoint pid=391889) model: (skyrl_entrypoint pid=391889) path: null (skyrl_entrypoint pid=391889) lora: (skyrl_entrypoint pid=391889) rank: 0 (skyrl_entrypoint pid=391889) alpha: 16 (skyrl_entrypoint pid=391889) dropout: 0 (skyrl_entrypoint pid=391889) target_modules: all-linear (skyrl_entrypoint pid=391889) exclude_modules: null (skyrl_entrypoint pid=391889) deepspeed_config: ${deepspeed_config.train} (skyrl_entrypoint pid=391889) optimizer_config: (skyrl_entrypoint pid=391889) optimizer: AdamW (skyrl_entrypoint pid=391889) lr: 5.0e-06 (skyrl_entrypoint pid=391889) adam_betas: (skyrl_entrypoint pid=391889) - 0.9 (skyrl_entrypoint pid=391889) - 0.999 (skyrl_entrypoint pid=391889) weight_decay: 0.01 (skyrl_entrypoint pid=391889) max_grad_norm: 1.0 (skyrl_entrypoint pid=391889) offload_after_step: true (skyrl_entrypoint pid=391889) num_warmup_steps: 0 (skyrl_entrypoint pid=391889) scheduler: constant_with_warmup (skyrl_entrypoint pid=391889) optimizer_kwargs: {} (skyrl_entrypoint pid=391889) fsdp_config: (skyrl_entrypoint pid=391889) cpu_offload: false (skyrl_entrypoint pid=391889) reshard_after_forward: true (skyrl_entrypoint pid=391889) fsdp_size: -1 (skyrl_entrypoint pid=391889) expert_model_parallel_size: 1 (skyrl_entrypoint pid=391889) expert_tensor_parallel_size: 1 (skyrl_entrypoint pid=391889) moe_token_dispatcher_type: alltoall (skyrl_entrypoint pid=391889) moe_router_replay: false (skyrl_entrypoint pid=391889) moe_grouped_gemm: false (skyrl_entrypoint pid=391889) ep_comm_backend: torch (skyrl_entrypoint pid=391889) deepep_num_sms: 20 (skyrl_entrypoint pid=391889) deepep_token_chunk_size: null (skyrl_entrypoint pid=391889) sequence_parallel_size: 1 (skyrl_entrypoint pid=391889) algorithm: (skyrl_entrypoint pid=391889) advantage_estimator: rloo_n (skyrl_entrypoint pid=391889) kl_ctrl: (skyrl_entrypoint pid=391889) type: fixed (skyrl_entrypoint pid=391889) kl_target: 0.1 (skyrl_entrypoint pid=391889) horizon: 10000 (skyrl_entrypoint pid=391889) kl_estimator_type: k3 (skyrl_entrypoint pid=391889) use_kl_estimator_k3: false (skyrl_entrypoint pid=391889) use_abs_kl: false (skyrl_entrypoint pid=391889) use_kl_in_reward: false (skyrl_entrypoint pid=391889) use_kl_loss: false (skyrl_entrypoint pid=391889) kl_loss_coef: 0.0 (skyrl_entrypoint pid=391889) use_entropy_loss: false (skyrl_entrypoint pid=391889) entropy_loss_coef: 0.01 (skyrl_entrypoint pid=391889) advantage_batch_normalize: false (skyrl_entrypoint pid=391889) value_head_prefix: value_head (skyrl_entrypoint pid=391889) policy_loss_type: regular (skyrl_entrypoint pid=391889) loss_reduction: sequence_mean (skyrl_entrypoint pid=391889) global_loss_denom: null (skyrl_entrypoint pid=391889) grpo_norm_by_std: true (skyrl_entrypoint pid=391889) rloo_n_min_group_size: 4 (skyrl_entrypoint pid=391889) rloo_n_filter_zero_reward_groups: true (skyrl_entrypoint pid=391889) lambd: 1.0 (skyrl_entrypoint pid=391889) gamma: 1.0 (skyrl_entrypoint pid=391889) eps_clip_low: 0.2 (skyrl_entrypoint pid=391889) eps_clip_high: 0.05 (skyrl_entrypoint pid=391889) clip_ratio_c: 3.0 (skyrl_entrypoint pid=391889) tis_imp_ratio_cap: -1.0 (skyrl_entrypoint pid=391889) use_tis: false (skyrl_entrypoint pid=391889) sapo: (skyrl_entrypoint pid=391889) tau_pos: 1.0 (skyrl_entrypoint pid=391889) tau_neg: 1.05 (skyrl_entrypoint pid=391889) value_clip: 0.2 (skyrl_entrypoint pid=391889) dynamic_sampling: (skyrl_entrypoint pid=391889) type: null (skyrl_entrypoint pid=391889) max_sample_batches: 30 (skyrl_entrypoint pid=391889) min_replace_ratio: 0.3 (skyrl_entrypoint pid=391889) clip_cov: (skyrl_entrypoint pid=391889) clip_ratio: 0.0002 (skyrl_entrypoint pid=391889) clip_cov_lb: 1.0 (skyrl_entrypoint pid=391889) clip_cov_ub: 5.0 (skyrl_entrypoint pid=391889) kl_cov: (skyrl_entrypoint pid=391889) kl_cov_frac: 0.2 (skyrl_entrypoint pid=391889) ppo_kl_coef: 1.0 (skyrl_entrypoint pid=391889) cispo: (skyrl_entrypoint pid=391889) cispo_eps_clip_low: 0 (skyrl_entrypoint pid=391889) cispo_eps_clip_high: 5 (skyrl_entrypoint pid=391889) z_clip: (skyrl_entrypoint pid=391889) enabled: false (skyrl_entrypoint pid=391889) alpha: 0.97 (skyrl_entrypoint pid=391889) z_thresh: 2.5 (skyrl_entrypoint pid=391889) warmup_steps: 25 (skyrl_entrypoint pid=391889) mode: zscore (skyrl_entrypoint pid=391889) clip_option: adaptive_scaling (skyrl_entrypoint pid=391889) clip_factor: 1.0 (skyrl_entrypoint pid=391889) skip_update_on_spike: false (skyrl_entrypoint pid=391889) stale_clip: (skyrl_entrypoint pid=391889) enabled: false (skyrl_entrypoint pid=391889) alpha: 0.3 (skyrl_entrypoint pid=391889) entropy_threshold: 0.15 (skyrl_entrypoint pid=391889) entropy_window: 10 (skyrl_entrypoint pid=391889) min_lr_scale: 0.1 (skyrl_entrypoint pid=391889) max_seq_len: 1004095 (skyrl_entrypoint pid=391889) fully_async: (skyrl_entrypoint pid=391889) max_staleness_steps: 16 (skyrl_entrypoint pid=391889) num_parallel_generation_workers: 338 (skyrl_entrypoint pid=391889) gradient_checkpointing: true (skyrl_entrypoint pid=391889) gradient_checkpointing_use_reentrant: false (skyrl_entrypoint pid=391889) seed: 42 (skyrl_entrypoint pid=391889) resume_mode: latest (skyrl_entrypoint pid=391889) resume_path: null (skyrl_entrypoint pid=391889) ckpt_path: /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/checkpoints (skyrl_entrypoint pid=391889) max_ckpts_to_keep: -1 (skyrl_entrypoint pid=391889) ckpt_interval: 2 (skyrl_entrypoint pid=391889) hf_save_interval: 5 (skyrl_entrypoint pid=391889) hf_upload_mode: latest (skyrl_entrypoint pid=391889) export_path: /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/exports (skyrl_entrypoint pid=391889) bf16: true (skyrl_entrypoint pid=391889) epochs: 2 (skyrl_entrypoint pid=391889) max_steps: 80 (skyrl_entrypoint pid=391889) update_epochs_per_batch: 1 (skyrl_entrypoint pid=391889) train_batch_size: 64 (skyrl_entrypoint pid=391889) policy_mini_batch_size: 64 (skyrl_entrypoint pid=391889) critic_mini_batch_size: 256 (skyrl_entrypoint pid=391889) micro_train_batch_size_per_gpu: 1 (skyrl_entrypoint pid=391889) micro_forward_batch_size_per_gpu: 4 (skyrl_entrypoint pid=391889) update_ref_every_epoch: false (skyrl_entrypoint pid=391889) use_sample_packing: true (skyrl_entrypoint pid=391889) eval_batch_size: 64 (skyrl_entrypoint pid=391889) eval_before_train: false (skyrl_entrypoint pid=391889) eval_interval: 999999 (skyrl_entrypoint pid=391889) max_prompt_length: 999999 (skyrl_entrypoint pid=391889) flash_attn: true (skyrl_entrypoint pid=391889) disable_fast_tokenizer: false (skyrl_entrypoint pid=391889) target_modules: null (skyrl_entrypoint pid=391889) exclude_modules: null (skyrl_entrypoint pid=391889) project_name: OpenThoughts-Agent (skyrl_entrypoint pid=391889) run_name: ablation-pymethods2test-seqmean-arm0 (skyrl_entrypoint pid=391889) logger: console (skyrl_entrypoint pid=391889) tracker_commit_each_step: true (skyrl_entrypoint pid=391889) dump_data_batch: false (skyrl_entrypoint pid=391889) dump_eval_results: true (skyrl_entrypoint pid=391889) log_level: INFO (skyrl_entrypoint pid=391889) rope_scaling: null (skyrl_entrypoint pid=391889) rope_theta: null (skyrl_entrypoint pid=391889) step_wise_training: false (skyrl_entrypoint pid=391889) hf_hub_repo_id: laion/ablation-pymethods2test-seqmean-arm0 (skyrl_entrypoint pid=391889) hf_hub_private: false (skyrl_entrypoint pid=391889) hf_hub_revision: main (skyrl_entrypoint pid=391889) enable_db_registration: false (skyrl_entrypoint pid=391889) generator: (skyrl_entrypoint pid=391889) model_name: ${trainer.policy.model.path} (skyrl_entrypoint pid=391889) model_dtype: bfloat16 (skyrl_entrypoint pid=391889) timeout_multiplier: 1.0 (skyrl_entrypoint pid=391889) run_engines_locally: true (skyrl_entrypoint pid=391889) num_inference_engines: 48 (skyrl_entrypoint pid=391889) backend: vllm (skyrl_entrypoint pid=391889) weight_sync_backend: nccl (skyrl_entrypoint pid=391889) fuse_weights: false (skyrl_entrypoint pid=391889) weight_transfer_threshold_cuda_ipc_GB: 1.0 (skyrl_entrypoint pid=391889) inference_engine_tensor_parallel_size: 1 (skyrl_entrypoint pid=391889) inference_engine_pipeline_parallel_size: 1 (skyrl_entrypoint pid=391889) inference_engine_expert_parallel_size: 1 (skyrl_entrypoint pid=391889) inference_engine_data_parallel_size: 1 (skyrl_entrypoint pid=391889) n_samples_per_prompt: 8 (skyrl_entrypoint pid=391889) async_engine: true (skyrl_entrypoint pid=391889) batched: false (skyrl_entrypoint pid=391889) max_input_length: ${trainer.max_prompt_length} (skyrl_entrypoint pid=391889) vllm_v1_disable_multiproc: true (skyrl_entrypoint pid=391889) enable_prefix_caching: true (skyrl_entrypoint pid=391889) enable_chunked_prefill: true (skyrl_entrypoint pid=391889) max_num_batched_tokens: 65536 (skyrl_entrypoint pid=391889) enforce_eager: true (skyrl_entrypoint pid=391889) fully_sharded_loras: false (skyrl_entrypoint pid=391889) enable_ray_prometheus_stats: false (skyrl_entrypoint pid=391889) vllm_stats_interval: 1 (skyrl_entrypoint pid=391889) gpu_memory_utilization: 0.75 (skyrl_entrypoint pid=391889) max_num_seqs: 24 (skyrl_entrypoint pid=391889) remote_inference_engine_urls: (skyrl_entrypoint pid=391889) - 127.0.0.1:8001 (skyrl_entrypoint pid=391889) enable_http_endpoint: true (skyrl_entrypoint pid=391889) http_endpoint_host: 127.0.0.1 (skyrl_entrypoint pid=391889) http_endpoint_port: 8000 (skyrl_entrypoint pid=391889) max_turns: 999999 (skyrl_entrypoint pid=391889) chat_template: (skyrl_entrypoint pid=391889) source: name (skyrl_entrypoint pid=391889) name_or_path: null (skyrl_entrypoint pid=391889) chat_template_kwargs: {} (skyrl_entrypoint pid=391889) engine_init_kwargs: (skyrl_entrypoint pid=391889) max_model_len: 32768 (skyrl_entrypoint pid=391889) custom_chat_template_chat_completion_path: chat_templates/qwen3_thinking_acc.jinja2 (skyrl_entrypoint pid=391889) served_model_name: 0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6 (skyrl_entrypoint pid=391889) override_existing_update_group: disable (skyrl_entrypoint pid=391889) sampling_params: (skyrl_entrypoint pid=391889) max_generate_length: 4096 (skyrl_entrypoint pid=391889) repetition_penalty: 1.0 (skyrl_entrypoint pid=391889) temperature: 0.7 (skyrl_entrypoint pid=391889) top_p: 0.95 (skyrl_entrypoint pid=391889) min_p: 0.0 (skyrl_entrypoint pid=391889) top_k: 20 (skyrl_entrypoint pid=391889) logprobs: null (skyrl_entrypoint pid=391889) stop: null (skyrl_entrypoint pid=391889) use_conversation_multi_turn: true (skyrl_entrypoint pid=391889) append_eos_token_after_stop_str_in_multi_turn: true (skyrl_entrypoint pid=391889) eval_sampling_params: (skyrl_entrypoint pid=391889) max_generate_length: ${generator.sampling_params.max_generate_length} (skyrl_entrypoint pid=391889) repetition_penalty: 1.0 (skyrl_entrypoint pid=391889) temperature: 0.0 (skyrl_entrypoint pid=391889) top_p: 1.0 (skyrl_entrypoint pid=391889) min_p: 0.0 (skyrl_entrypoint pid=391889) top_k: -1 (skyrl_entrypoint pid=391889) logprobs: null (skyrl_entrypoint pid=391889) stop: null (skyrl_entrypoint pid=391889) eval_n_samples_per_prompt: 8 (skyrl_entrypoint pid=391889) zero_reward_on_non_stop: false (skyrl_entrypoint pid=391889) apply_overlong_filtering: false (skyrl_entrypoint pid=391889) rope_scaling: ${trainer.rope_scaling} (skyrl_entrypoint pid=391889) rope_theta: ${trainer.rope_theta} (skyrl_entrypoint pid=391889) teacher: (skyrl_entrypoint pid=391889) model_path: null (skyrl_entrypoint pid=391889) top_k_logprobs: 256 (skyrl_entrypoint pid=391889) num_inference_engines: 1 (skyrl_entrypoint pid=391889) inference_engine_tensor_parallel_size: 1 (skyrl_entrypoint pid=391889) inference_engine_pipeline_parallel_size: 1 (skyrl_entrypoint pid=391889) gpu_memory_utilization: 0.9 (skyrl_entrypoint pid=391889) enforce_eager: false (skyrl_entrypoint pid=391889) backend: vllm (skyrl_entrypoint pid=391889) engine_init_kwargs: {} (skyrl_entrypoint pid=391889) environment: (skyrl_entrypoint pid=391889) env_class: gsm8k (skyrl_entrypoint pid=391889) skyrl_gym: (skyrl_entrypoint pid=391889) max_env_workers: 32 (skyrl_entrypoint pid=391889) text2sql: (skyrl_entrypoint pid=391889) db_path: /home/ray/default/sql_data (skyrl_entrypoint pid=391889) llm_as_a_judge: (skyrl_entrypoint pid=391889) model: gpt-4o-mini (skyrl_entrypoint pid=391889) base_url: null (skyrl_entrypoint pid=391889) search: (skyrl_entrypoint pid=391889) log_requests: false (skyrl_entrypoint pid=391889) search_url: http://127.0.0.1:8000/retrieve (skyrl_entrypoint pid=391889) topk: 3 (skyrl_entrypoint pid=391889) timeout: 30 (skyrl_entrypoint pid=391889) rollout: (skyrl_entrypoint pid=391889) fanout: (skyrl_entrypoint pid=391889) enabled: true (skyrl_entrypoint pid=391889) num_coordinators: 4 (skyrl_entrypoint pid=391889) cpus_per_coordinator: 8 (skyrl_entrypoint pid=391889) deepspeed_config: (skyrl_entrypoint pid=391889) train: (skyrl_entrypoint pid=391889) zero_optimization: (skyrl_entrypoint pid=391889) stage: 3 (skyrl_entrypoint pid=391889) offload_param: (skyrl_entrypoint pid=391889) device: none (skyrl_entrypoint pid=391889) offload_optimizer: (skyrl_entrypoint pid=391889) device: none (skyrl_entrypoint pid=391889) pin_memory: true (skyrl_entrypoint pid=391889) sub_group_size: auto (skyrl_entrypoint pid=391889) reduce_bucket_size: auto (skyrl_entrypoint pid=391889) stage3_param_persistence_threshold: auto (skyrl_entrypoint pid=391889) stage3_prefetch_bucket_size: auto (skyrl_entrypoint pid=391889) stage3_max_live_parameters: auto (skyrl_entrypoint pid=391889) stage3_max_reuse_distance: auto (skyrl_entrypoint pid=391889) round_robin_gradients: true (skyrl_entrypoint pid=391889) zero_hpz_partition_size: 1 (skyrl_entrypoint pid=391889) zero_quantized_weights: false (skyrl_entrypoint pid=391889) zero_quantized_gradients: false (skyrl_entrypoint pid=391889) torch_autocast: (skyrl_entrypoint pid=391889) enabled: true (skyrl_entrypoint pid=391889) dtype: bfloat16 (skyrl_entrypoint pid=391889) disable_trace_cache: false (skyrl_entrypoint pid=391889) data_types: (skyrl_entrypoint pid=391889) grad_accum_dtype: fp32 (skyrl_entrypoint pid=391889) gradient_clipping: 1.0 (skyrl_entrypoint pid=391889) wall_clock_breakdown: false (skyrl_entrypoint pid=391889) prescale_gradient: false (skyrl_entrypoint pid=391889) eval: (skyrl_entrypoint pid=391889) zero_optimization: (skyrl_entrypoint pid=391889) stage: 3 (skyrl_entrypoint pid=391889) stage3_param_persistence_threshold: auto (skyrl_entrypoint pid=391889) offload_param: (skyrl_entrypoint pid=391889) device: cpu (skyrl_entrypoint pid=391889) pin_memory: true (skyrl_entrypoint pid=391889) torch_autocast: (skyrl_entrypoint pid=391889) enabled: true (skyrl_entrypoint pid=391889) dtype: bfloat16 (skyrl_entrypoint pid=391889) gradient_clipping: 1.0 (skyrl_entrypoint pid=391889) prescale_gradient: false (skyrl_entrypoint pid=391889) wall_clock_breakdown: false (skyrl_entrypoint pid=391889) terminal_bench_config: (skyrl_entrypoint pid=391889) trials_dir: /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/trace_jobs (skyrl_entrypoint pid=391889) harbor: (skyrl_entrypoint pid=391889) name: terminus-2 (skyrl_entrypoint pid=391889) max_episodes: 999999 (skyrl_entrypoint pid=391889) enable_summarize: false (skyrl_entrypoint pid=391889) store_all_messages: true (skyrl_entrypoint pid=391889) trajectory_config: (skyrl_entrypoint pid=391889) raw_content: true (skyrl_entrypoint pid=391889) enable_episode_logging: false (skyrl_entrypoint pid=391889) record_terminal_session: false (skyrl_entrypoint pid=391889) enable_pane_logging: false (skyrl_entrypoint pid=391889) strict_json_parser: true (skyrl_entrypoint pid=391889) interleaved_thinking: true (skyrl_entrypoint pid=391889) extra_body: (skyrl_entrypoint pid=391889) chat_template_kwargs: (skyrl_entrypoint pid=391889) enable_thinking: true (skyrl_entrypoint pid=391889) override_timeout_sec: 900 (skyrl_entrypoint pid=391889) override_cpus: 1 (skyrl_entrypoint pid=391889) override_memory_mb: 2048 (skyrl_entrypoint pid=391889) override_storage_mb: 2048 (skyrl_entrypoint pid=391889) auto_snapshot: true (skyrl_entrypoint pid=391889) verifier_override_timeout_sec: 120 (skyrl_entrypoint pid=391889) max_retries: 3 (skyrl_entrypoint pid=391889) min_wait_sec: 60.0 (skyrl_entrypoint pid=391889) max_wait_sec: 600.0 (skyrl_entrypoint pid=391889) wait_multiplier: 2.0 (skyrl_entrypoint pid=391889) exclude_exceptions: (skyrl_entrypoint pid=391889) - VerifierTimeoutError (skyrl_entrypoint pid=391889) - VerifierRuntimeError (skyrl_entrypoint pid=391889) - RewardFileNotFoundError (skyrl_entrypoint pid=391889) - RewardFileEmptyError (skyrl_entrypoint pid=391889) - VerifierOutputParseError (skyrl_entrypoint pid=391889) n_concurrent_trials: 675 (skyrl_entrypoint pid=391889) log_level: INFO (skyrl_entrypoint pid=391889) enable_reward_shaping: false (skyrl_entrypoint pid=391889) enable_error_classification: true (skyrl_entrypoint pid=391889) mask_exceptions: (skyrl_entrypoint pid=391889) - DaytonaError (skyrl_entrypoint pid=391889) - EnvironmentStartTimeoutError (skyrl_entrypoint pid=391889) - NetworkError (skyrl_entrypoint pid=391889) - ConnectionError (skyrl_entrypoint pid=391889) - RewardFileNotFoundError (skyrl_entrypoint pid=391889) - RewardFileEmptyError (skyrl_entrypoint pid=391889) - AgentEnvironmentTimeoutError (skyrl_entrypoint pid=391889) - ContextLengthExceededError (skyrl_entrypoint pid=391889) default_error_treatment: zero (skyrl_entrypoint pid=391889) passthrough_exceptions: (skyrl_entrypoint pid=391889) - AgentTimeoutError (skyrl_entrypoint pid=391889) zero_exceptions: [] (skyrl_entrypoint pid=391889) model_info: (skyrl_entrypoint pid=391889) max_input_tokens: 32000 (skyrl_entrypoint pid=391889) max_output_tokens: 4096 (skyrl_entrypoint pid=391889) archiving: (skyrl_entrypoint pid=391889) enabled: false (skyrl_entrypoint pid=391889) trace_upload: (skyrl_entrypoint pid=391889) enabled: true (skyrl_entrypoint pid=391889) repo_org: DCAgent (skyrl_entrypoint pid=391889) episodes: last (skyrl_entrypoint pid=391889) dataset_type: SFT (skyrl_entrypoint pid=391889) cleanup: true (skyrl_entrypoint pid=391889)  (skyrl_entrypoint pid=391889) [2026-06-07 16:03:03,420 E 391889 391932] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 2x across cluster] (skyrl_entrypoint pid=391889) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (skyrl_entrypoint pid=391889) No module named 'vllm._version' (skyrl_entrypoint pid=391889) from .version import __version__, __version_tuple__ # isort:skip (skyrl_entrypoint pid=391889) W0607 16:06:28.744000 391889 envs/rl/lib/python3.12/site-packages/torch/utils/cpp_extension.py:117] No CUDA runtime is found, using CUDA_HOME='/e/software/default/stages/2026/software/CUDA/13' (raylet) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (get_all_env_variables pid=392160) [2026-06-07 16:07:18,837 E 392160 392200] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (raylet, ip=10.128.32.42) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 29x across cluster] (pid=3113603, ip=10.128.32.42) [2026-06-07 16:07:21,100 E 3113603 3113706] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 4x across cluster] (raylet, ip=10.128.32.37) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 2x across cluster] (pid=3113603, ip=10.128.32.42) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (pid=3113603, ip=10.128.32.42) No module named 'vllm._version' (pid=3113603, ip=10.128.32.42) from .version import __version__, __version_tuple__ # isort:skip (raylet, ip=10.128.32.37) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 10x across cluster] (get_addr_port pid=1022558, ip=10.128.32.37) [2026-06-07 16:08:25,572 E 1022558 1022633] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (raylet, ip=10.128.32.35) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (pid=1022559, ip=10.128.32.37) [2026-06-07 16:08:25,619 E 1022559 1022661] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (get_addr_port pid=899452, ip=10.128.32.35) [2026-06-07 16:13:12,407 E 899452 899534] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (raylet, ip=10.128.32.37) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 23x across cluster] (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:18.252 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=0, VLLM_ENABLE_V1_MULTIPROCESSING= (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:18.253 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:18.253 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (pid=1022866, ip=10.128.32.37) [2026-06-07 16:13:12,454 E 1022866 1022968] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:18.863 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 0-71 (NUMA node 0) for GPU 0 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:19.203 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 0 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:19.203 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:19.203 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:19.203 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) 2026-06-07 16:16:19.249 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.96s (attempt 1/5) to avoid port collisions (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) No module named 'vllm._version' (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) from .version import __version__, __version_tuple__ # isort:skip (raylet, ip=10.128.32.35) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 3x across cluster] (pid=2697284, ip=10.128.32.43) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (pid=2697284, ip=10.128.32.43) No module named 'vllm._version' (pid=2697284, ip=10.128.32.43) from .version import __version__, __version_tuple__ # isort:skip (raylet, ip=10.128.32.42) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 81x across cluster] (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/__init__.py:1617: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) _C._set_float32_matmul_precision(precision) (pid=3114114, ip=10.128.32.42) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 6x across cluster] (pid=3114114, ip=10.128.32.42) No module named 'vllm._version' [repeated 6x across cluster] (pid=3114114, ip=10.128.32.42) from .version import __version__, __version_tuple__ # isort:skip [repeated 6x across cluster] (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) [W607 16:18:19.012223938 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [jpbo-041-42-interconnect-1.jupiter.internal]:48887 (errno: 97 - Address family not supported by protocol). (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) [W607 16:18:19.013894942 Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function operator()) (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) [rank0]:[W607 16:18:19.016313609 Utils.hpp:137] Warning: Environment variable TORCH_NCCL_TRACE_BUFFER_SIZE is deprecated; use TORCH_FR_BUFFER_SIZE instead (function operator()) (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) 2026-06-07 16:18:37.080 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) 2026-06-07 16:18:37.080 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (pid=3114114, ip=10.128.32.42) [2026-06-07 16:18:30,329 E 3114114 3114278] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 13x across cluster] (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) 2026-06-07 16:18:38.033 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 144-215 (NUMA node 2) for GPU 2 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) 2026-06-07 16:18:38.037 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 2 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) 2026-06-07 16:18:38.037 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) 2026-06-07 16:18:38.037 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) 2026-06-07 16:18:38.038 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) 2026-06-07 16:18:38.082 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 1.57s (attempt 1/5) to avoid port collisions (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) No module named 'vllm._version' (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) from .version import __version__, __version_tuple__ # isort:skip (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/__init__.py:1617: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:37.079 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=3, VLLM_ENABLE_V1_MULTIPROCESSING= [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:37.080 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:37.080 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:38.037 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 216-287 (NUMA node 3) for GPU 3 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:38.040 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 3 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:38.040 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:38.040 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:38.040 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) 2026-06-07 16:18:38.082 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.51s (attempt 1/5) to avoid port collisions [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) No module named 'vllm._version' [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) from .version import __version__, __version_tuple__ # isort:skip [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) [W607 16:18:52.506534225 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [jpbo-041-42.jupiter.internal]:44549 (errno: 97 - Address family not supported by protocol). (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) [W607 16:18:52.507043782 Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function operator()) (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) [rank0]:[W607 16:18:52.509417811 Utils.hpp:137] Warning: Environment variable TORCH_NCCL_TRACE_BUFFER_SIZE is deprecated; use TORCH_FR_BUFFER_SIZE instead (function operator()) (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) (EngineCore_DP0 pid=3114390) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) 2026-06-07 16:28:40.952 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) 2026-06-07 16:28:40.952 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (raylet, ip=10.128.32.44) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 23x across cluster] (pid=3011432, ip=10.128.32.44) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 3x across cluster] (pid=3011432, ip=10.128.32.44) No module named 'vllm._version' [repeated 3x across cluster] (pid=3011432, ip=10.128.32.44) from .version import __version__, __version_tuple__ # isort:skip [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) 2026-06-07 16:28:42.189 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 0-71 (NUMA node 0) for GPU 0 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) 2026-06-07 16:28:42.404 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 0 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) 2026-06-07 16:28:42.404 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) 2026-06-07 16:28:42.404 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) 2026-06-07 16:28:42.404 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) 2026-06-07 16:28:42.452 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.34s (attempt 1/5) to avoid port collisions (get_addr_port pid=2705576, ip=10.128.32.38) [2026-06-07 16:28:59,577 E 2705576 2705650] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:40.941 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=3, VLLM_ENABLE_V1_MULTIPROCESSING= [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:40.952 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:40.952 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:42.192 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 216-287 (NUMA node 3) for GPU 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:42.404 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:42.404 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:42.404 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:42.404 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) 2026-06-07 16:28:42.452 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.44s (attempt 1/5) to avoid port collisions [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (pid=3011432, ip=10.128.32.44) [2026-06-07 16:28:59,741 E 3011432 3011535] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) No module named 'vllm._version' (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) from .version import __version__, __version_tuple__ # isort:skip (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. [repeated 7x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. [repeated 3x across cluster] (raylet, ip=10.128.32.41) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 8x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) No module named 'vllm._version' [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) from .version import __version__, __version_tuple__ # isort:skip [repeated 3x across cluster] (get_addr_port pid=2614264, ip=10.128.32.41) [2026-06-07 16:31:12,398 E 2614264 2614340] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (raylet, ip=10.128.32.38) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 28x across cluster] (pid=2705803, ip=10.128.32.38) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 4x across cluster] (pid=2705803, ip=10.128.32.38) No module named 'vllm._version' [repeated 4x across cluster] (pid=2705803, ip=10.128.32.38) from .version import __version__, __version_tuple__ # isort:skip [repeated 4x across cluster] (pid=2705803, ip=10.128.32.38) [2026-06-07 16:31:12,700 E 2705803 2705968] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 4x across cluster] (raylet, ip=10.128.32.41) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 3x across cluster] (pid=3011671, ip=10.128.32.44) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (pid=3011671, ip=10.128.32.44) No module named 'vllm._version' (pid=3011671, ip=10.128.32.44) from .version import __version__, __version_tuple__ # isort:skip (raylet, ip=10.128.32.39) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 53x across cluster] (pid=2631820, ip=10.128.32.36) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 3x across cluster] (pid=2631820, ip=10.128.32.36) No module named 'vllm._version' [repeated 3x across cluster] (pid=2631820, ip=10.128.32.36) from .version import __version__, __version_tuple__ # isort:skip [repeated 3x across cluster] (get_addr_port pid=2831549, ip=10.128.32.45) [2026-06-07 16:32:34,010 E 2831549 2831630] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (raylet, ip=10.128.32.39) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 28x across cluster] (pid=2831686, ip=10.128.32.45) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 4x across cluster] (pid=2831686, ip=10.128.32.45) No module named 'vllm._version' [repeated 4x across cluster] (pid=2831686, ip=10.128.32.45) from .version import __version__, __version_tuple__ # isort:skip [repeated 4x across cluster] (pid=2831684, ip=10.128.32.45) [2026-06-07 16:33:02,327 E 2831684 2831794] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 9x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:47.395 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=0, VLLM_ENABLE_V1_MULTIPROCESSING= (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:47.396 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:47.396 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (pid=2994914, ip=10.128.32.39) [2026-06-07 16:33:02,705 E 2994914 2995017] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:48.608 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 0-71 (NUMA node 0) for GPU 0 (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:48.637 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 0 (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:48.637 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:48.637 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:48.637 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:37:48.667 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.38s (attempt 1/5) to avoid port collisions (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) No module named 'vllm._version' (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) from .version import __version__, __version_tuple__ # isort:skip (skyrl_entrypoint pid=391889) [2026-06-07 16:38:35] INFO inference_engine_client_http_endpoint.py:350: Starting server on 0.0.0.0:8000 (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:47.395 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=3, VLLM_ENABLE_V1_MULTIPROCESSING= [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:47.396 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:47.396 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:48.609 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 216-287 (NUMA node 3) for GPU 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:48.636 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:48.637 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:48.637 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:48.637 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) 2026-06-07 16:37:48.668 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.17s (attempt 1/5) to avoid port collisions [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. [repeated 6x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 6x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) No module named 'vllm._version' [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) from .version import __version__, __version_tuple__ # isort:skip [repeated 3x across cluster] (skyrl_entrypoint pid=391889) [2026-06-07 16:38:35] INFO inference_engine_client_http_endpoint.py:242: Starting inference HTTP endpoint... (skyrl_entrypoint pid=391889) [2026-06-07 16:38:36] INFO inference_engine_client_http_endpoint.py:229: Server ready after 2 attempts (2 seconds) (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.246 | INFO  | skyrl_train.inference_engines.inference_engine_client:_spin_up_http_endpoint:969 - InferenceEngineClient HTTP endpoint started on 127.0.0.1:8000 (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.246 | INFO  | skyrl_train.inference_engines.inference_engine_client:__init__:61 - InferenceEngineClient initialized with 48 engines. (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.249 | INFO  | examples.terminal_bench.terminal_bench_generator:_configure_harbor_logging:242 - Harbor logging level set to INFO (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.250 | INFO  | examples.terminal_bench.terminal_bench_generator:__init__:142 - TerminalBenchGenerator initialized with HarborConfigBuilder. Exposed fields: ['name', 'max_episodes', 'enable_summarize', 'store_all_messages', 'trajectory_config', 'enable_episode_logging', 'record_terminal_session', 'enable_pane_logging', 'strict_json_parser', 'interleaved_thinking', 'extra_body', 'override_timeout_sec', 'override_cpus', 'override_memory_mb', 'override_storage_mb', 'auto_snapshot', 'verifier_override_timeout_sec', 'max_retries', 'min_wait_sec', 'max_wait_sec', 'wait_multiplier', 'exclude_exceptions', 'n_concurrent_trials', 'log_level', 'enable_reward_shaping', 'enable_error_classification', 'mask_exceptions', 'default_error_treatment', 'passthrough_exceptions', 'zero_exceptions']. Retry config: max_retries=3, backoff=60.0-600.0s. Concurrent trials: 675. Reward shaping: enabled=False, shaper=pass_ratio. Error classification: enabled=True (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.251 | INFO  | examples.terminal_bench.terminal_bench_generator:__init__:158 - TerminalBenchGenerator initialized with custom chat template read from: chat_templates/qwen3_thinking_acc.jinja2 (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.252 | INFO  | skyrl_train.utils.trainer_utils:build_dataloader:656 - Total steps: 156 (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.252 | INFO  | skyrl_train.fully_async_trainer:_build_train_dataloader_and_compute_training_steps:357 - Length of train_dataloader: 5000 (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.252 | INFO  | skyrl_train.fully_async_trainer:_build_train_dataloader_and_compute_training_steps:358 - Number of steps per epoch: 78 (skyrl_entrypoint pid=391889) 2026-06-07 16:38:36.252 | INFO  | skyrl_train.fully_async_trainer:_build_train_dataloader_and_compute_training_steps:359 - Total training steps: 80 (pid=2995275, ip=10.128.32.39) [2026-06-07 16:39:06,386 E 2995275 2995386] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 (raylet, ip=10.128.32.46) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 25x across cluster] (pid=2662625, ip=10.128.32.46) Using blocking ray.get inside async actor. This blocks the event loop. Please use `await` on object ref with asyncio.gather if you want to yield execution to the event loop instead. (pid=2662625, ip=10.128.32.46) [2026-06-07 16:39:07,218 E 2662625 2662665] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:20.342 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=0, VLLM_ENABLE_V1_MULTIPROCESSING= (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:20.343 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:20.344 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:21.623 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 0-71 (NUMA node 0) for GPU 0 (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:21.875 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 0 (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:21.875 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:21.875 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:21.875 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) 2026-06-07 16:40:21.925 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.28s (attempt 1/5) to avoid port collisions (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/__init__.py:1617: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2697412, ip=10.128.32.43) (EngineCore_DP0 pid=2698009) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2697414, ip=10.128.32.43) (EngineCore_DP0 pid=2698001) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) [W607 16:40:24.572522745 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [jpbo-041-43-interconnect-1.jupiter.internal]:60183 (errno: 97 - Address family not supported by protocol). (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) [W607 16:40:24.576008342 Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function operator()) (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) [rank0]:[W607 16:40:24.582010146 Utils.hpp:137] Warning: Environment variable TORCH_NCCL_TRACE_BUFFER_SIZE is deprecated; use TORCH_FR_BUFFER_SIZE instead (function operator()) (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) No module named 'vllm._version' (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) from .version import __version__, __version_tuple__ # isort:skip (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) 2026-06-07 16:40:20.342 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=3, VLLM_ENABLE_V1_MULTIPROCESSING= [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) 2026-06-07 16:40:20.343 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) 2026-06-07 16:40:20.344 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00 (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:43:50.392 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:43:50.392 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (pid=2614410, ip=10.128.32.41) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 3x across cluster] (pid=2614410, ip=10.128.32.41) No module named 'vllm._version' [repeated 3x across cluster] (pid=2614410, ip=10.128.32.41) from .version import __version__, __version_tuple__ # isort:skip [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:43:51.752 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 0-71 (NUMA node 0) for GPU 0 (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:43:51.780 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 0 (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:43:51.780 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:43:51.780 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:43:51.780 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:43:51.824 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.15s (attempt 1/5) to avoid port collisions (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:50.391 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=3, VLLM_ENABLE_V1_MULTIPROCESSING= [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:50.392 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:50.392 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) No module named 'vllm._version' [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) from .version import __version__, __version_tuple__ # isort:skip [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/__init__.py:1617: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:51.752 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 216-287 (NUMA node 3) for GPU 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:51.780 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:51.780 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:51.780 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:51.780 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:43:51.824 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.92s (attempt 1/5) to avoid port collisions [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. [repeated 6x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 6x across cluster] (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) (EngineCore_DP0 pid=2577485) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2576837, ip=10.128.32.40) (EngineCore_DP0 pid=2577489) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) [W607 16:46:26.579304849 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [jpbo-041-40-interconnect-1.jupiter.internal]:39565 (errno: 97 - Address family not supported by protocol). (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) [W607 16:46:26.580154880 Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function operator()) (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) [rank0]:[W607 16:46:26.586558911 Utils.hpp:137] Warning: Environment variable TORCH_NCCL_TRACE_BUFFER_SIZE is deprecated; use TORCH_FR_BUFFER_SIZE instead (function operator()) (AsyncVLLMInferenceEngine pid=2576837, ip=10.128.32.40) (EngineCore_DP0 pid=2577489) Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00 (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) 2026-06-07 16:48:36.433 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) 2026-06-07 16:48:36.433 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) 2026-06-07 16:47:11.226 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1296 - Initializing OpenAIServingChat with custom_chat_template read from: chat_templates/qwen3_thinking_acc.jinja2 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) 2026-06-07 16:48:37.639 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 0-71 (NUMA node 0) for GPU 0 (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) 2026-06-07 16:48:37.989 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 0 (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) 2026-06-07 16:48:37.989 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) 2026-06-07 16:48:37.989 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) 2026-06-07 16:48:37.989 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) 2026-06-07 16:48:38.038 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.40s (attempt 1/5) to avoid port collisions (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:36.432 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=3, VLLM_ENABLE_V1_MULTIPROCESSING= [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:36.433 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:36.433 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:37.639 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 216-287 (NUMA node 3) for GPU 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:37.989 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:37.989 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:37.989 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:37.989 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) 2026-06-07 16:48:38.038 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.04s (attempt 1/5) to avoid port collisions [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. [repeated 7x across cluster] (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) No module named 'vllm._version' (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) from .version import __version__, __version_tuple__ # isort:skip (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/__init__.py:1617: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 6x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) No module named 'vllm._version' [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) from .version import __version__, __version_tuple__ # isort:skip [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739605, ip=10.128.32.34) (EngineCore_DP0 pid=2740434) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) (EngineCore_DP0 pid=2740438) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) [W607 16:49:22.529996202 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [jpbo-041-34.jupiter.internal]:58359 (errno: 97 - Address family not supported by protocol). (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) [W607 16:49:22.533237515 Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function operator()) (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) [rank0]:[W607 16:49:22.539139353 Utils.hpp:137] Warning: Environment variable TORCH_NCCL_TRACE_BUFFER_SIZE is deprecated; use TORCH_FR_BUFFER_SIZE instead (function operator()) (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00 (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) 2026-06-07 16:52:06.306 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) 2026-06-07 16:52:06.306 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) Loading safetensors checkpoint shards: 25% Completed | 1/4 [00:04<00:12, 4.01s/it] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) 2026-06-07 16:52:07.518 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 0-71 (NUMA node 0) for GPU 0 (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) 2026-06-07 16:52:06.306 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) 2026-06-07 16:52:06.306 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) Loading safetensors checkpoint shards: 50% Completed | 2/4 [00:08<00:08, 4.06s/it] [repeated 7x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) 2026-06-07 16:52:07.518 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 216-287 (NUMA node 3) for GPU 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) 2026-06-07 16:52:07.791 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) 2026-06-07 16:52:07.791 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) 2026-06-07 16:52:07.791 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) 2026-06-07 16:52:07.791 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) 2026-06-07 16:52:07.835 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 1.87s (attempt 1/5) to avoid port collisions [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. [repeated 6x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e [repeated 6x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) No module named 'vllm._version' [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) from .version import __version__, __version_tuple__ # isort:skip [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631821, ip=10.128.32.36) (EngineCore_DP0 pid=2632466) (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) (EngineCore_DP0 pid=2632450) (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) Loading safetensors checkpoint shards: 100% Completed | 4/4 [00:13<00:00, 3.34s/it] [repeated 12x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) 2026-06-07 16:52:19.686 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1296 - Initializing OpenAIServingChat with custom_chat_template read from: chat_templates/qwen3_thinking_acc.jinja2 (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. [repeated 4x across cluster] (pid=2994914, ip=10.128.32.39) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (pid=2994914, ip=10.128.32.39) No module named 'vllm._version' (pid=2994914, ip=10.128.32.39) from .version import __version__, __version_tuple__ # isort:skip (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) 2026-06-07 16:52:19.639 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1296 - Initializing OpenAIServingChat with custom_chat_template read from: chat_templates/qwen3_thinking_acc.jinja2 [repeated 3x across cluster] (pid=2995275, ip=10.128.32.39) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (pid=2995275, ip=10.128.32.39) No module named 'vllm._version' (pid=2995275, ip=10.128.32.39) from .version import __version__, __version_tuple__ # isort:skip (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/__init__.py:1617: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) _C._set_float32_matmul_precision(precision) (pid=2995274, ip=10.128.32.39) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: [repeated 2x across cluster] (pid=2995274, ip=10.128.32.39) No module named 'vllm._version' [repeated 2x across cluster] (pid=2995274, ip=10.128.32.39) from .version import __version__, __version_tuple__ # isort:skip [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) (EngineCore_DP0 pid=3012342) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) (EngineCore_DP0 pid=3012343) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) _C._set_float32_matmul_precision(precision) (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) [W607 16:54:12.735426276 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [jpbo-041-44.jupiter.internal]:48903 (errno: 97 - Address family not supported by protocol). (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) [W607 16:54:12.739040171 Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function operator()) (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) [rank0]:[W607 16:54:12.745053709 Utils.hpp:137] Warning: Environment variable TORCH_NCCL_TRACE_BUFFER_SIZE is deprecated; use TORCH_FR_BUFFER_SIZE instead (function operator()) (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) 2026-06-07 16:55:38.697 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) 2026-06-07 16:55:38.697 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/__init__.py:1617: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.) [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) [W607 16:55:33.476236797 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [jpbo-041-38-interconnect-1.jupiter.internal]:41289 (errno: 97 - Address family not supported by protocol). [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) [W607 16:55:33.479705003 Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function operator()) [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) [rank0]:[W607 16:55:33.484923505 Utils.hpp:137] Warning: Environment variable TORCH_NCCL_TRACE_BUFFER_SIZE is deprecated; use TORCH_FR_BUFFER_SIZE instead (function operator()) [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) 2026-06-07 16:55:40.047 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 0-71 (NUMA node 0) for GPU 0 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) 2026-06-07 16:55:40.076 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 0 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) 2026-06-07 16:55:40.077 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) 2026-06-07 16:55:40.077 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) 2026-06-07 16:55:40.077 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) 2026-06-07 16:55:40.144 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.39s (attempt 1/5) to avoid port collisions (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:38.696 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:152 - setup_envvars_for_vllm: distributed_executor_backend=uni, SKYRL_ENABLE_NUMA_AFFINITY=1, CUDA_VISIBLE_DEVICES=3, VLLM_ENABLE_V1_MULTIPROCESSING= [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:38.697 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:162 - setup_envvars_for_vllm: numa_enabled=True [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:38.697 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:setup_envvars_for_vllm:165 - setup_envvars_for_vllm: set VLLM_ENABLE_V1_MULTIPROCESSING=0 for NUMA affinity [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:40.048 | INFO | skyrl_train.utils.numa:set_numa_affinity_for_gpu:340 - NUMA affinity: bound process to CPUs 216-287 (NUMA node 3) for GPU 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:40.076 | DEBUG | skyrl_train.utils.numa:_set_membind_via_libnuma:375 - NUMA affinity: set memory preferred to NUMA node 3 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:40.076 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:613 - BaseVLLMInferenceEngine: vllm_v1_disable_multiproc=True, vllm.__version__=dev, VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:40.076 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:__init__:621 - BaseVLLMInferenceEngine: set VLLM_ENABLE_V1_MULTIPROCESSING=0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:40.076 | WARNING | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1187 - OpenAI API sampling params overridden: temperature=0.7, top_p=0.95, top_k=20 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) 2026-06-07 16:55:40.144 | INFO | skyrl_train.inference_engines.vllm.vllm_engine:_create_engine:1239 - Engine startup stagger: sleeping 2.33s (attempt 1/5) to avoid port collisions [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) The tokenizer you are loading from '/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue. (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) [proxychains] DLL init: proxychains-ng 4.17-git-9-g78ead0e (AsyncVLLMInferenceEngine pid=2831685, ip=10.128.32.45) /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/vllm/__init__.py:7: RuntimeWarning: Failed to read commit hash: (AsyncVLLMInferenceEngine pid=2831685, ip=10.128.32.45) No module named 'vllm._version' (AsyncVLLMInferenceEngine pid=2831685, ip=10.128.32.45) from .version import __version__, __version_tuple__ # isort:skip (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00) File "/e/scratch/jureap59/feuer1/miniforge3/lib/python3.12/concurrent/futures/_base.py", line 449, in result return self.__get_result() ^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/miniforge3/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result raise self._exception ^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/skyrl_train/workers/worker.py", line 149, in init_worker_process_group torch.distributed.init_process_group( File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 95, in wrapper func_return = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 1762, in init_process_group store, rank, world_size = next(rendezvous_iterator) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 278, in _env_rendezvous_handler store = _create_c10d_store( ^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 198, in _create_c10d_store return TCPStore( ^^^^^^^^^ torch.distributed.DistStoreError: Timed out after 601 seconds waiting for clients. 4/8 clients joined. Exception raised from waitForWorkers at /pytorch/torch/csrc/distributed/c10d/TCPStore.cpp:396 (most recent call first): frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) + 0xb0 (0x4000bf09c700 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libc10.so) frame #1: + 0x5e9c9c0 (0x400ae12fc9c0 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) frame #2: c10d::TCPStore::waitForWorkers() + 0x350 (0x400ae1391410 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) frame #3: c10d::TCPStore::TCPStore(std::__cxx11::basic_string, std::allocator >, c10d::TCPStoreOptions const&) + 0x468 (0x400ae13918c8 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) frame #4: + 0x109a094 (0x4000be86a094 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_python.so) frame #5: + 0x113236c (0x4000be90236c in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_python.so) frame #6: + 0x5d6d60 (0x4000bdda6d60 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_python.so) frame #7: + 0x1b7a38 (0xaaaacb007a38 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #8: _PyObject_MakeTpCall + 0x98 (0xaaaacafb5db8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #9: + 0x169f50 (0xaaaacafb9f50 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #10: + 0x1682e4 (0xaaaacafb82e4 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #11: + 0x1e0ce8 (0xaaaacb030ce8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #12: + 0x1d7ddc (0xaaaacb027ddc in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #13: + 0x646b0c (0x4000bde16b0c in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_python.so) frame #14: _PyObject_MakeTpCall + 0x98 (0xaaaacafb5db8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #15: _PyEval_EvalFrameDefault + 0x280c (0xaaaacb0bae54 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #16: + 0x1808c0 (0xaaaacafd08c0 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #17: + 0x182bf8 (0xaaaacafd2bf8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #18: + 0x25fd30 (0xaaaacb0afd30 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #19: + 0x1b7d20 (0xaaaacb007d20 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #20: PyObject_Vectorcall + 0x54 (0xaaaacafb60e4 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #21: _PyEval_EvalFrameDefault + 0x280c (0xaaaacb0bae54 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #22: + 0x1808c0 (0xaaaacafd08c0 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #23: + 0x1835c8 (0xaaaacafd35c8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #24: + 0x84b708 (0x40000a80b708 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #25: + 0x865fe4 (0x40000a825fe4 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #26: + 0x823470 (0x40000a7e3470 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #27: + 0x830110 (0x40000a7f0110 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #28: + 0x174a60 (0xaaaacafc4a60 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #29: PyObject_VectorcallMethod + 0xa4 (0xaaaacafb6270 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #30: PyIter_Send + 0xbc (0xaaaacaf9b62c in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #31: + 0xaa04 (0x40000ca7aa04 in /e/scratch/jureap59/feuer1/miniforge3/lib/python3.12/lib-dynload/_asyncio.cpython-312-aarch64-linux-gnu.so) frame #32: + 0xbcc4 (0x40000ca7bcc4 in /e/scratch/jureap59/feuer1/miniforge3/lib/python3.12/lib-dynload/_asyncio.cpython-312-aarch64-linux-gnu.so) frame #33: _PyObject_MakeTpCall + 0x98 (0xaaaacafb5db8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #34: + 0x28cfac (0xaaaacb0dcfac in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #35: + 0x1b7b68 (0xaaaacb007b68 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #36: _PyEval_EvalFrameDefault + 0x52ac (0xaaaacb0bd8f4 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #37: + 0x83c564 (0x40000a7fc564 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #38: _PyEval_EvalFrameDefault + 0x52ac (0xaaaacb0bd8f4 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #39: + 0x169f88 (0xaaaacafb9f88 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #40: + 0x36002c (0xaaaacb1b002c in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #41: + 0x2e4024 (0xaaaacb134024 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #42: + 0x80e00 (0x400009730e00 in /lib64/libc.so.6) frame #43: + 0xeb49c (0x40000979b49c in /lib64/libc.so.6) 2026-06-07 17:12:36.033 | INFO | __main__:main:137 - Shutting down Ray on head node... (pid=394710) [2026-06-07 17:03:06,091 E 394710 394918] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14 [repeated 6x across cluster] (FSDPPolicyWorkerBase pid=2663495, ip=10.128.32.46) [W607 17:03:10.575118569 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [jpbo-041-46.jupiter.internal]:41111 (errno: 97 - Address family not supported by protocol). [repeated 2x across cluster] (FSDPPolicyWorkerBase pid=2663495, ip=10.128.32.46) [W607 17:03:10.575405606 Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function operator()) [repeated 2x across cluster] (skyrl_entrypoint pid=391889) [fd-monitor] Started monitoring (every 120s) (skyrl_entrypoint pid=391889) [fd-monitor] [16:02:41] OK: 50 / 131,072 FDs open (0.0% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:02:41] OK: RSS 1.38 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (skyrl_entrypoint pid=391889) ⚙️ Running in WANDB offline mode (skyrl_entrypoint pid=391889) [fd-monitor] [16:04:41] OK: 50 / 131,072 FDs open (0.0% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:04:41] OK: RSS 1.50 GiB | node mem 161.4/858.0 GiB used (18.8%), avail 696.6 GiB (skyrl_entrypoint pid=391889) INFO 06-07 16:06:28 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (skyrl_entrypoint pid=391889) [fd-monitor] [16:06:41] OK: 51 / 131,072 FDs open (0.0% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:06:41] OK: RSS 1.59 GiB | node mem 161.5/858.0 GiB used (18.8%), avail 696.5 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [16:08:41] OK: 62 / 131,072 FDs open (0.0% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:08:41] OK: RSS 1.63 GiB | node mem 161.0/858.0 GiB used (18.8%), avail 696.9 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [16:10:41] OK: 62 / 131,072 FDs open (0.0% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:10:41] OK: RSS 1.63 GiB | node mem 161.0/858.0 GiB used (18.8%), avail 696.9 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [16:12:41] OK: 63 / 131,072 FDs open (0.0% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:12:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.8 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [16:14:41] OK: 64 / 131,072 FDs open (0.0% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:14:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (pid=3113603, ip=10.128.32.42) INFO 06-07 16:16:16 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (skyrl_entrypoint pid=391889) [fd-monitor] [16:16:41] OK: 64 / 131,072 FDs open (0.0% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:16:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) WARNING 06-07 16:16:48 [arg_utils.py:1256] The global random seed is set to 42. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) INFO 06-07 16:16:48 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) INFO 06-07 16:16:48 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) INFO 06-07 16:16:48 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) INFO 06-07 16:16:48 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) INFO 06-07 16:16:48 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) WARNING 06-07 16:16:48 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) INFO 06-07 16:16:48 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) WARNING 06-07 16:16:48 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) WARNING 06-07 16:16:48 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) INFO 06-07 16:17:22 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:17:23 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=42, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:18 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:19 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.42:48887 backend=nccl (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:19 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:19 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:20 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:28 [default_loader.py:293] Loading weights took 8.20 seconds (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:28 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 8.778860 seconds (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:31 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:31 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:31 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:31 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:31 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.54 seconds (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) WARNING 06-07 16:18:32 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:32 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) WARNING 06-07 16:18:32 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) (EngineCore_DP0 pid=3114084) INFO 06-07 16:18:32 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=3113603, ip=10.128.32.42) WARNING 06-07 16:18:32 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (pid=3114113, ip=10.128.32.42) INFO 06-07 16:18:35 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) WARNING 06-07 16:18:39 [arg_utils.py:1256] The global random seed is set to 56. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) INFO 06-07 16:18:39 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) INFO 06-07 16:18:39 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) INFO 06-07 16:18:39 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) INFO 06-07 16:18:39 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) WARNING 06-07 16:18:39 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) INFO 06-07 16:18:39 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) INFO 06-07 16:18:39 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) WARNING 06-07 16:18:40 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) WARNING 06-07 16:18:40 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) INFO 06-07 16:18:40 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) INFO 06-07 16:18:40 [vllm.py:846] Cudagraph is disabled under eager mode (pid=3114114, ip=10.128.32.42) INFO 06-07 16:18:35 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 2x across cluster] (skyrl_entrypoint pid=391889) [fd-monitor] [16:18:41] OK: 68 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:18:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) WARNING 06-07 16:18:40 [arg_utils.py:1256] The global random seed is set to 57. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) INFO 06-07 16:18:40 [model.py:529] Resolved architecture: Qwen3ForCausalLM [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) INFO 06-07 16:18:40 [model.py:1549] Using max model len 32768 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) INFO 06-07 16:18:40 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) INFO 06-07 16:18:40 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) WARNING 06-07 16:18:40 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) WARNING 06-07 16:18:40 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) WARNING 06-07 16:18:40 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) INFO 06-07 16:18:40 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) INFO 06-07 16:18:40 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) INFO 06-07 16:18:48 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) INFO 06-07 16:18:48 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:18:48 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=56, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:18:51 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:18:52 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.42:44549 backend=nccl (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:18:52 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:18:53 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) INFO 06-07 16:18:48 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:18:53 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) (EngineCore_DP0 pid=3114390) INFO 06-07 16:18:49 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=55, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:18:58 [default_loader.py:293] Loading weights took 4.13 seconds (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) (EngineCore_DP0 pid=3114390) INFO 06-07 16:18:52 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) (EngineCore_DP0 pid=3114390) INFO 06-07 16:18:53 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.42:51575 backend=nccl [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) (EngineCore_DP0 pid=3114390) INFO 06-07 16:18:53 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) (EngineCore_DP0 pid=3114390) INFO 06-07 16:18:53 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:18:58 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 4.877260 seconds (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:19:00 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:19:00 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:19:00 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=3114112, ip=10.128.32.42) (EngineCore_DP0 pid=3114390) INFO 06-07 16:18:53 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:19:00 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:19:00 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.44 seconds (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) WARNING 06-07 16:19:01 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:19:01 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) WARNING 06-07 16:19:01 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) (EngineCore_DP0 pid=3114382) INFO 06-07 16:19:01 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=3114113, ip=10.128.32.42) WARNING 06-07 16:19:01 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (skyrl_entrypoint pid=391889) [fd-monitor] [16:20:41] OK: 68 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:20:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:18:58 [default_loader.py:293] Loading weights took 4.38 seconds [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:18:58 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 5.087965 seconds [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:19:01 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:19:01 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:19:01 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:19:01 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:19:01 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.46 seconds [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) WARNING 06-07 16:19:01 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:19:01 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) WARNING 06-07 16:19:01 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) (EngineCore_DP0 pid=3114394) INFO 06-07 16:19:01 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3114114, ip=10.128.32.42) WARNING 06-07 16:19:01 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. [repeated 2x across cluster] (skyrl_entrypoint pid=391889) [fd-monitor] [16:22:41] OK: 70 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:22:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.8 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [16:24:41] OK: 72 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:24:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [16:26:41] OK: 72 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:26:41] OK: RSS 1.63 GiB | node mem 161.0/858.0 GiB used (18.8%), avail 696.9 GiB (pid=2697284, ip=10.128.32.43) INFO 06-07 16:28:12 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (skyrl_entrypoint pid=391889) [fd-monitor] [16:28:41] OK: 74 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:28:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (pid=2697413, ip=10.128.32.43) INFO 06-07 16:28:12 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) WARNING 06-07 16:29:10 [arg_utils.py:1256] The global random seed is set to 50. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) INFO 06-07 16:29:11 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) INFO 06-07 16:29:11 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) INFO 06-07 16:29:11 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) INFO 06-07 16:29:11 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) INFO 06-07 16:29:11 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) WARNING 06-07 16:29:11 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) INFO 06-07 16:29:11 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) WARNING 06-07 16:29:11 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) WARNING 06-07 16:29:11 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (skyrl_entrypoint pid=391889) [fd-monitor] [16:30:41] OK: 75 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:30:41] OK: RSS 1.63 GiB | node mem 161.0/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) WARNING 06-07 16:29:10 [arg_utils.py:1256] The global random seed is set to 53. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) INFO 06-07 16:29:11 [model.py:529] Resolved architecture: Qwen3ForCausalLM [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) INFO 06-07 16:29:11 [model.py:1549] Using max model len 32768 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) INFO 06-07 16:29:11 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) INFO 06-07 16:29:11 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) INFO 06-07 16:29:11 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) WARNING 06-07 16:29:11 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) INFO 06-07 16:29:11 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) WARNING 06-07 16:29:11 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) WARNING 06-07 16:29:11 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned [repeated 3x across cluster] (skyrl_entrypoint pid=391889) [fd-monitor] [16:32:41] OK: 80 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:32:41] OK: RSS 1.63 GiB | node mem 161.0/858.0 GiB used (18.8%), avail 697.0 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [16:34:41] OK: 80 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:34:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) INFO 06-07 16:35:54 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:35:55 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=50, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (skyrl_entrypoint pid=391889) [fd-monitor] [16:36:41] OK: 80 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:36:41] OK: RSS 1.63 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) INFO 06-07 16:35:54 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:35:55 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=53, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [repeated 3x across cluster] (pid=2576535, ip=10.128.32.40) INFO 06-07 16:37:45 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (pid=2576836, ip=10.128.32.40) INFO 06-07 16:37:45 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) WARNING 06-07 16:37:50 [arg_utils.py:1256] The global random seed is set to 63. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (pid=2576838, ip=10.128.32.40) INFO 06-07 16:37:45 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) INFO 06-07 16:37:50 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) INFO 06-07 16:37:50 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) INFO 06-07 16:37:50 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) INFO 06-07 16:37:50 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) INFO 06-07 16:37:50 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) WARNING 06-07 16:37:50 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) INFO 06-07 16:37:50 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) WARNING 06-07 16:37:50 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) WARNING 06-07 16:37:50 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (skyrl_entrypoint pid=391889) [fd-monitor] [16:38:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:38:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) WARNING 06-07 16:37:51 [arg_utils.py:1256] The global random seed is set to 62. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) INFO 06-07 16:37:51 [model.py:529] Resolved architecture: Qwen3ForCausalLM [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) INFO 06-07 16:37:51 [model.py:1549] Using max model len 32768 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) INFO 06-07 16:37:51 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) INFO 06-07 16:37:51 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) INFO 06-07 16:37:51 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) WARNING 06-07 16:37:51 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) INFO 06-07 16:37:51 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) WARNING 06-07 16:37:51 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) WARNING 06-07 16:37:51 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned [repeated 3x across cluster] (pid=2739368, ip=10.128.32.34) INFO 06-07 16:39:00 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:23 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (pid=2739604, ip=10.128.32.34) INFO 06-07 16:39:00 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) WARNING 06-07 16:40:24 [arg_utils.py:1256] The global random seed is set to 58. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:24 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.43:60183 backend=nccl (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) INFO 06-07 16:40:24 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) INFO 06-07 16:40:24 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:24 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) INFO 06-07 16:40:24 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) INFO 06-07 16:40:24 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) INFO 06-07 16:40:24 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) WARNING 06-07 16:40:24 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) INFO 06-07 16:40:24 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) WARNING 06-07 16:40:24 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) WARNING 06-07 16:40:24 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:25 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:27 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:41 [default_loader.py:293] Loading weights took 13.76 seconds (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:23 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) WARNING 06-07 16:40:24 [arg_utils.py:1256] The global random seed is set to 60. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:24 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.43:46619 backend=nccl [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) INFO 06-07 16:40:24 [model.py:529] Resolved architecture: Qwen3ForCausalLM [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) INFO 06-07 16:40:24 [model.py:1549] Using max model len 32768 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:24 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) INFO 06-07 16:40:24 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) INFO 06-07 16:40:24 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) INFO 06-07 16:40:24 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) WARNING 06-07 16:40:24 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) INFO 06-07 16:40:24 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) WARNING 06-07 16:40:25 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) WARNING 06-07 16:40:25 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:25 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:27 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. [repeated 3x across cluster] (skyrl_entrypoint pid=391889) [fd-monitor] [16:40:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:40:41] OK: RSS 1.64 GiB | node mem 161.0/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:41 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 15.544833 seconds (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:44 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:44 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:44 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=2697412, ip=10.128.32.43) (EngineCore_DP0 pid=2698009) INFO 06-07 16:40:44 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) INFO 06-07 16:40:44 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.82 seconds (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) (EngineCore_DP0 pid=2698000) WARNING 06-07 16:40:45 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=2697284, ip=10.128.32.43) WARNING 06-07 16:40:45 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (skyrl_entrypoint pid=391889) [fd-monitor] [16:42:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:42:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:41 [default_loader.py:293] Loading weights took 13.76 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:45 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:45 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) WARNING 06-07 16:40:45 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:41 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 15.540163 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:44 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:44 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:44 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:44 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) INFO 06-07 16:40:44 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.85 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) (EngineCore_DP0 pid=2698005) WARNING 06-07 16:40:45 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2697413, ip=10.128.32.43) WARNING 06-07 16:40:45 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. [repeated 3x across cluster] (pid=2631427, ip=10.128.32.36) INFO 06-07 16:43:22 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) WARNING 06-07 16:43:53 [arg_utils.py:1256] The global random seed is set to 79. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (pid=2631820, ip=10.128.32.36) INFO 06-07 16:43:22 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) INFO 06-07 16:43:53 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) INFO 06-07 16:43:53 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) INFO 06-07 16:43:53 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) INFO 06-07 16:43:53 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) INFO 06-07 16:43:53 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) WARNING 06-07 16:43:53 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) INFO 06-07 16:43:53 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) WARNING 06-07 16:43:54 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2631819, ip=10.128.32.36) WARNING 06-07 16:43:54 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) WARNING 06-07 16:43:54 [arg_utils.py:1256] The global random seed is set to 81. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) INFO 06-07 16:44:08 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) INFO 06-07 16:43:54 [model.py:529] Resolved architecture: Qwen3ForCausalLM [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) INFO 06-07 16:43:54 [model.py:1549] Using max model len 32768 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) INFO 06-07 16:43:54 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) INFO 06-07 16:43:54 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) INFO 06-07 16:43:54 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) WARNING 06-07 16:43:54 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) INFO 06-07 16:43:54 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) WARNING 06-07 16:43:55 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) WARNING 06-07 16:43:55 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) INFO 06-07 16:44:08 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:44:09 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=62, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (skyrl_entrypoint pid=391889) [fd-monitor] [16:44:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:44:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) INFO 06-07 16:44:08 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:44:09 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=65, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:46:25 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:46:26 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.40:39565 backend=nccl (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:46:26 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:46:26 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (skyrl_entrypoint pid=391889) [fd-monitor] [16:46:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:46:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:46:25 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:46:26 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.40:52891 backend=nccl [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:46:26 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:46:26 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576837, ip=10.128.32.40) (EngineCore_DP0 pid=2577489) INFO 06-07 16:46:53 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:47:07 [default_loader.py:293] Loading weights took 13.09 seconds (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:46:54 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:47:07 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 40.482660 seconds (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:47:10 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:47:10 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:47:10 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=2576837, ip=10.128.32.40) (EngineCore_DP0 pid=2577489) INFO 06-07 16:47:10 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:47:10 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.84 seconds (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) WARNING 06-07 16:47:11 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:47:11 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) WARNING 06-07 16:47:11 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) (EngineCore_DP0 pid=2577500) INFO 06-07 16:47:11 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2576836, ip=10.128.32.40) WARNING 06-07 16:47:11 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) INFO 06-07 16:47:33 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:07 [default_loader.py:293] Loading weights took 13.09 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:07 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 40.481976 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:10 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:10 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:10 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:10 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:10 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.86 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) WARNING 06-07 16:47:11 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:11 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) WARNING 06-07 16:47:11 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576838, ip=10.128.32.40) (EngineCore_DP0 pid=2577495) INFO 06-07 16:47:11 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2576535, ip=10.128.32.40) WARNING 06-07 16:47:11 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:47:34 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=58, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (pid=3010613, ip=10.128.32.44) INFO 06-07 16:48:08 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:47:34 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=61, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) INFO 06-07 16:48:26 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:48:27 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=66, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) WARNING 06-07 16:48:40 [arg_utils.py:1256] The global random seed is set to 68. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) INFO 06-07 16:48:26 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:48:27 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=81, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) INFO 06-07 16:48:40 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) INFO 06-07 16:48:40 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) INFO 06-07 16:48:40 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) INFO 06-07 16:48:40 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) INFO 06-07 16:48:40 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) WARNING 06-07 16:48:40 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) INFO 06-07 16:48:40 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) WARNING 06-07 16:48:40 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) WARNING 06-07 16:48:40 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (skyrl_entrypoint pid=391889) [fd-monitor] [16:48:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:48:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:49:22 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) WARNING 06-07 16:48:40 [arg_utils.py:1256] The global random seed is set to 69. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) INFO 06-07 16:48:40 [model.py:529] Resolved architecture: Qwen3ForCausalLM [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) INFO 06-07 16:48:40 [model.py:1549] Using max model len 32768 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) INFO 06-07 16:48:40 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) INFO 06-07 16:48:40 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) INFO 06-07 16:48:40 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) WARNING 06-07 16:48:40 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) INFO 06-07 16:48:40 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) WARNING 06-07 16:48:40 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011432, ip=10.128.32.44) WARNING 06-07 16:48:40 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:49:22 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.34:58359 backend=nccl (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:49:22 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:15 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:49:22 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:49:22 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.34:58341 backend=nccl [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:49:22 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:16 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:29 [default_loader.py:293] Loading weights took 13.02 seconds (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:50:15 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:50:16 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:29 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 14.171795 seconds (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:32 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:32 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:32 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:32 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:32 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.81 seconds (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) WARNING 06-07 16:50:33 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:33 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) WARNING 06-07 16:50:33 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) (EngineCore_DP0 pid=2740424) INFO 06-07 16:50:33 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2739368, ip=10.128.32.34) WARNING 06-07 16:50:33 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (skyrl_entrypoint pid=391889) [fd-monitor] [16:50:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:50:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:50:29 [default_loader.py:293] Loading weights took 12.88 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:50:29 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 14.175118 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:50:32 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:50:32 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:50:32 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) (EngineCore_DP0 pid=2740428) INFO 06-07 16:50:32 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) (EngineCore_DP0 pid=2740438) INFO 06-07 16:50:32 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.83 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) (EngineCore_DP0 pid=2740438) WARNING 06-07 16:50:33 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) (EngineCore_DP0 pid=2740438) INFO 06-07 16:50:33 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) (EngineCore_DP0 pid=2740438) WARNING 06-07 16:50:33 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739603, ip=10.128.32.34) (EngineCore_DP0 pid=2740438) INFO 06-07 16:50:33 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2739604, ip=10.128.32.34) WARNING 06-07 16:50:33 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631821, ip=10.128.32.36) (EngineCore_DP0 pid=2632466) INFO 06-07 16:50:42 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (AsyncVLLMInferenceEngine pid=2631821, ip=10.128.32.36) (EngineCore_DP0 pid=2632466) INFO 06-07 16:50:43 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.36:48845 backend=nccl (AsyncVLLMInferenceEngine pid=2631821, ip=10.128.32.36) (EngineCore_DP0 pid=2632466) INFO 06-07 16:50:43 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:51:09 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:50:43 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:50:43 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.36:42177 backend=nccl [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:50:43 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A [repeated 3x across cluster] (pid=2705575, ip=10.128.32.38) INFO 06-07 16:51:38 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:51:09 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) INFO 06-07 16:51:54 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:51:56 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=67, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:52:02 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) INFO 06-07 16:51:54 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:51:56 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=78, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) WARNING 06-07 16:52:09 [arg_utils.py:1256] The global random seed is set to 72. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:52:02 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) INFO 06-07 16:52:09 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) INFO 06-07 16:52:09 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) INFO 06-07 16:52:09 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) INFO 06-07 16:52:09 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) INFO 06-07 16:52:09 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) WARNING 06-07 16:52:09 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) INFO 06-07 16:52:09 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) WARNING 06-07 16:52:10 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2705804, ip=10.128.32.38) WARNING 06-07 16:52:10 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:52:15 [default_loader.py:293] Loading weights took 13.37 seconds (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) WARNING 06-07 16:52:10 [arg_utils.py:1256] The global random seed is set to 70. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) INFO 06-07 16:52:10 [model.py:529] Resolved architecture: Qwen3ForCausalLM [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) INFO 06-07 16:52:10 [model.py:1549] Using max model len 32768 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) INFO 06-07 16:52:10 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) INFO 06-07 16:52:10 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) INFO 06-07 16:52:10 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) WARNING 06-07 16:52:10 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) INFO 06-07 16:52:10 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) WARNING 06-07 16:52:11 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) WARNING 06-07 16:52:11 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:52:16 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 65.938186 seconds (AsyncVLLMInferenceEngine pid=2631821, ip=10.128.32.36) (EngineCore_DP0 pid=2632466) INFO 06-07 16:52:18 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=2631821, ip=10.128.32.36) (EngineCore_DP0 pid=2632466) INFO 06-07 16:52:18 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=2631821, ip=10.128.32.36) (EngineCore_DP0 pid=2632466) INFO 06-07 16:52:18 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=2631821, ip=10.128.32.36) (EngineCore_DP0 pid=2632466) INFO 06-07 16:52:18 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:52:18 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.81 seconds (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) WARNING 06-07 16:52:19 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) WARNING 06-07 16:52:19 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (skyrl_entrypoint pid=391889) [fd-monitor] [16:52:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:52:41] OK: RSS 1.64 GiB | node mem 161.0/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:52:15 [default_loader.py:293] Loading weights took 13.37 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:52:19 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:52:19 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) WARNING 06-07 16:52:19 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 4x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:52:16 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 65.945630 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:52:18 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:52:18 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631427, ip=10.128.32.36) (EngineCore_DP0 pid=2632455) INFO 06-07 16:52:18 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:52:18 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) INFO 06-07 16:52:18 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.79 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) (EngineCore_DP0 pid=2632471) WARNING 06-07 16:52:19 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2631820, ip=10.128.32.36) WARNING 06-07 16:52:19 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) INFO 06-07 16:53:15 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:53:17 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=70, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:54:12 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) INFO 06-07 16:53:15 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:53:17 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=73, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:54:12 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.44:48903 backend=nccl (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:54:12 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:54:12 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] [repeated 3x across cluster] (pid=2831550, ip=10.128.32.45) INFO 06-07 16:54:18 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:54:12 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.44:53241 backend=nccl [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:54:12 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A [repeated 3x across cluster] (pid=2831684, ip=10.128.32.45) INFO 06-07 16:54:18 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (skyrl_entrypoint pid=391889) [fd-monitor] [16:54:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:54:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (pid=2831686, ip=10.128.32.45) INFO 06-07 16:54:18 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 2x across cluster] (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:04 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:06 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:19 [default_loader.py:293] Loading weights took 13.56 seconds (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:55:04 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:55:06 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:20 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 14.714728 seconds (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:22 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:22 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:22 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:22 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:22 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.82 seconds (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) WARNING 06-07 16:55:23 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:23 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) WARNING 06-07 16:55:23 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) (EngineCore_DP0 pid=3012340) INFO 06-07 16:55:23 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=3010613, ip=10.128.32.44) WARNING 06-07 16:55:23 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:55:32 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:55:19 [default_loader.py:293] Loading weights took 13.43 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:55:20 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 14.718624 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) (EngineCore_DP0 pid=3012342) INFO 06-07 16:55:22 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) (EngineCore_DP0 pid=3012342) INFO 06-07 16:55:22 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011433, ip=10.128.32.44) (EngineCore_DP0 pid=3012342) INFO 06-07 16:55:22 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:55:22 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:55:22 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.81 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) WARNING 06-07 16:55:23 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:55:23 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) WARNING 06-07 16:55:23 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) (EngineCore_DP0 pid=3012341) INFO 06-07 16:55:23 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=3011671, ip=10.128.32.44) WARNING 06-07 16:55:23 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:55:33 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.38:39711 backend=nccl (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:55:33 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) WARNING 06-07 16:55:42 [arg_utils.py:1256] The global random seed is set to 82. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:55:32 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:55:33 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.38:41289 backend=nccl [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:55:33 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:56:00 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (AsyncVLLMInferenceEngine pid=2831685, ip=10.128.32.45) WARNING 06-07 16:55:42 [arg_utils.py:1256] The global random seed is set to 84. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) INFO 06-07 16:56:09 [model.py:529] Resolved architecture: Qwen3ForCausalLM (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) INFO 06-07 16:56:09 [model.py:1549] Using max model len 32768 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) INFO 06-07 16:56:09 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) INFO 06-07 16:56:09 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) INFO 06-07 16:56:09 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) WARNING 06-07 16:56:09 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) INFO 06-07 16:56:09 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:56:00 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) WARNING 06-07 16:56:09 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) WARNING 06-07 16:56:09 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned (skyrl_entrypoint pid=391889) [fd-monitor] [16:56:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:56:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) INFO 06-07 16:56:09 [model.py:529] Resolved architecture: Qwen3ForCausalLM [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) INFO 06-07 16:56:09 [model.py:1549] Using max model len 32768 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) INFO 06-07 16:56:09 [arg_utils.py:1469] Using ray runtime env (env vars redacted): {'env_vars': {'NCCL_CUMEM_ENABLE': '***', 'NCCL_DEBUG': '***', 'NCCL_SOCKET_FAMILY': '***', 'NCCL_SOCKET_IFNAME': '***', 'RAY_ADDRESS': '***', 'VLLM_ALLOW_INSECURE_SERIALIZATION': '***', 'VLLM_ALLOW_RUNTIME_LORA_UPDATING': '***', 'VLLM_DISABLE_COMPILE_CACHE': '***', 'WANDB_API_KEY': '***'}} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) INFO 06-07 16:56:09 [scheduler.py:224] Chunked prefill is enabled with max_num_batched_tokens=65536. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) INFO 06-07 16:56:09 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) WARNING 06-07 16:56:09 [vllm.py:728] Enforce eager set, overriding optimization level to -O0 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) INFO 06-07 16:56:09 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) WARNING 06-07 16:56:09 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) WARNING 06-07 16:56:09 [system_utils.py:140] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reasons: In a Ray actor and can only be spawned [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) INFO 06-07 16:56:50 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 16:56:52 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=82, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:56:54 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:08 [default_loader.py:293] Loading weights took 13.39 seconds (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) INFO 06-07 16:56:50 [pynccl.py:178] pynccl trace buffer enabled: size=10000 dump_dir=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps flush_interval=0 s [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 16:56:52 [core.py:97] Initializing a V1 LLM engine (vdev) with config: model='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', speculative_config=None, tokenizer='/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=85, served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'splitting_ops': [], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [65536], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'eliminate_noops': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 0, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:56:54 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:08 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 67.984083 seconds (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:11 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:11 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:11 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:11 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:11 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.83 seconds (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) WARNING 06-07 16:57:12 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:12 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) WARNING 06-07 16:57:12 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) (EngineCore_DP0 pid=2706759) INFO 06-07 16:57:12 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2705575, ip=10.128.32.38) WARNING 06-07 16:57:12 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (skyrl_entrypoint pid=391889) [fd-monitor] [16:58:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [16:58:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:08 [default_loader.py:293] Loading weights took 13.39 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:08 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 67.996617 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:11 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:11 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:11 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:11 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:11 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.82 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) WARNING 06-07 16:57:12 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:12 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) WARNING 06-07 16:57:12 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) (EngineCore_DP0 pid=2706739) INFO 06-07 16:57:12 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2705803, ip=10.128.32.38) WARNING 06-07 16:57:12 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 16:59:59 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:00:00 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.45:41873 backend=nccl (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:00:00 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A (skyrl_entrypoint pid=391889) [fd-monitor] [17:00:41] OK: 88 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [17:00:41] OK: RSS 1.64 GiB | node mem 161.1/858.0 GiB used (18.8%), avail 696.9 GiB (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 16:59:59 [worker_base.py:289] Injected into for extended collective_rpc calls ['_apply_fp8_weight_loader_patches', '_is_fp8_model', '_quantize_weights_for_fp8', '_restore_param_subclasses', '_undo_param_subclasses', 'begin_weight_update', 'destroy_weights_update_group', 'end_weight_update', 'init_weight_update_communicator', 'load_weights', 'read_named_weights', 'set_numa_affinity', 'test_rpc'] [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:00:00 [parallel_state.py:1234] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.128.32.45:60113 backend=nccl [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:00:00 [parallel_state.py:1445] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:00:52 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:00:53 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:01:07 [default_loader.py:293] Loading weights took 13.57 seconds (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:00:52 [gpu_model_runner.py:4125] Starting to load model /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6... [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:00:53 [cuda.py:367] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:01:08 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 15.159333 seconds (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:01:10 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:01:10 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:01:10 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x (AsyncVLLMInferenceEngine pid=2831684, ip=10.128.32.45) (EngineCore_DP0 pid=2832749) INFO 06-07 17:01:10 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:01:10 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.83 seconds (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) WARNING 06-07 17:01:11 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:01:11 [vllm.py:690] Asynchronous scheduling is enabled. (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) WARNING 06-07 17:01:11 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) (EngineCore_DP0 pid=2832747) INFO 06-07 17:01:11 [vllm.py:846] Cudagraph is disabled under eager mode (AsyncVLLMInferenceEngine pid=2831684, ip=10.128.32.45) WARNING 06-07 17:01:11 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. (pid=2662625, ip=10.128.32.46) ⚙️ Running in WANDB offline mode (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:07 [default_loader.py:293] Loading weights took 13.57 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:08 [gpu_model_runner.py:4222] Model loading took 15.27 GiB memory and 15.161752 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:10 [gpu_worker.py:373] Available KV cache memory: 49.32 GiB [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:10 [kv_cache_utils.py:1307] GPU KV cache size: 359,104 tokens [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:10 [kv_cache_utils.py:1312] Maximum concurrency for 32,768 tokens per request: 10.96x [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:10 [kernel_warmup.py:44] Skipping FlashInfer autotune because it is disabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:10 [core.py:278] init engine (profile, create kv cache, warmup model) took 2.84 seconds [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) WARNING 06-07 17:01:11 [serial_utils.py:57] Allowing insecure serialization using pickle due to VLLM_ALLOW_INSECURE_SERIALIZATION=1 [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:11 [vllm.py:690] Asynchronous scheduling is enabled. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) WARNING 06-07 17:01:11 [vllm.py:735] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831686, ip=10.128.32.45) (EngineCore_DP0 pid=2832741) INFO 06-07 17:01:11 [vllm.py:846] Cudagraph is disabled under eager mode [repeated 3x across cluster] (AsyncVLLMInferenceEngine pid=2831550, ip=10.128.32.45) WARNING 06-07 17:01:11 [model.py:1350] Default vLLM sampling parameters have been overridden by the model's `generation_config.json`: `{'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}`. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. [repeated 3x across cluster] (skyrl_entrypoint pid=391889) [fd-monitor] [17:02:41] OK: 86 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [17:02:41] OK: RSS 1.64 GiB | node mem 162.3/858.0 GiB used (18.9%), avail 695.7 GiB (pid=2663493, ip=10.128.32.46) ⚙️ Running in WANDB offline mode (skyrl_entrypoint pid=391889) [fd-monitor] [17:04:41] OK: 89 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [17:04:41] OK: RSS 1.64 GiB | node mem 162.4/858.0 GiB used (18.9%), avail 695.6 GiB (pid=2663495, ip=10.128.32.46) ⚙️ Running in WANDB offline mode [repeated 2x across cluster] (skyrl_entrypoint pid=391889) [fd-monitor] [17:06:41] OK: 89 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [17:06:41] OK: RSS 1.64 GiB | node mem 162.4/858.0 GiB used (18.9%), avail 695.5 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [17:08:41] OK: 83 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [17:08:41] OK: RSS 1.64 GiB | node mem 162.4/858.0 GiB used (18.9%), avail 695.6 GiB (skyrl_entrypoint pid=391889) [fd-monitor] [17:10:41] OK: 83 / 131,072 FDs open (0.1% of soft limit, hard limit: 131,072) (skyrl_entrypoint pid=391889) [fd-monitor] [17:10:41] OK: RSS 1.64 GiB | node mem 162.5/858.0 GiB used (18.9%), avail 695.5 GiB Error executing job with overrides: ['+terminal_bench_config=terminal_bench', 'trainer.strategy=fsdp2', 'trainer.algorithm.advantage_estimator=rloo_n', 'trainer.algorithm.use_kl_loss=false', 'trainer.algorithm.kl_loss_coef=0.0', 'trainer.algorithm.eps_clip_low=0.2', 'trainer.algorithm.eps_clip_high=0.05', 'trainer.algorithm.loss_reduction=sequence_mean', 'trainer.epochs=2', 'trainer.max_steps=80', 'trainer.update_epochs_per_batch=1', 'trainer.train_batch_size=64', 'trainer.policy_mini_batch_size=64', 'trainer.eval_batch_size=64', 'trainer.micro_forward_batch_size_per_gpu=4', 'trainer.micro_train_batch_size_per_gpu=1', 'trainer.max_prompt_length=999999', 'trainer.eval_interval=999999', 'trainer.eval_before_train=false', 'trainer.ckpt_interval=2', 'trainer.resume_mode=latest', 'trainer.hf_save_interval=5', '++trainer.hf_hub_repo_id=laion/ablation-pymethods2test-seqmean-arm0', '++trainer.hf_hub_private=false', '++trainer.hf_hub_revision=main', '++trainer.enable_db_registration=false', 'trainer.project_name=OpenThoughts-Agent', 'trainer.log_level=INFO', 'trainer.tracker_commit_each_step=true', 'trainer.logger=console', 'trainer.run_name=ablation-pymethods2test-seqmean-arm0', 'trainer.ckpt_path=/e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/checkpoints', 'trainer.export_path=/e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/exports', 'trainer.policy.optimizer_config.lr=8e-6', 'trainer.policy.optimizer_config.weight_decay=0.0', 'trainer.policy.optimizer_config.adam_betas=[0.9,0.999]', 'trainer.policy.optimizer_config.max_grad_norm=0.9', 'trainer.policy.fsdp_config.cpu_offload=false', 'trainer.policy.fsdp_config.reshard_after_forward=true', 'trainer.policy.fsdp_config.fsdp_size=4', 'trainer.policy.model.path=/e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/models--laion--GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink/snapshots/0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', 'trainer.ref.fsdp_config.cpu_offload=false', 'trainer.ref.fsdp_config.reshard_after_forward=true', 'trainer.ref.fsdp_config.fsdp_size=4', 'trainer.placement.colocate_all=false', 'trainer.placement.policy_num_nodes=2', 'trainer.placement.ref_num_nodes=2', 'trainer.placement.policy_num_gpus_per_node=4', 'trainer.placement.ref_num_gpus_per_node=4', 'trainer.fully_async.max_staleness_steps=16', 'trainer.fully_async.num_parallel_generation_workers=338', 'generator.backend=vllm', 'generator.timeout_multiplier=1.0', 'generator.model_dtype=bfloat16', 'generator.inference_engine_tensor_parallel_size=1', 'generator.num_inference_engines=48', 'generator.n_samples_per_prompt=8', 'generator.eval_n_samples_per_prompt=8', 'generator.gpu_memory_utilization=0.75', 'generator.max_num_seqs=24', 'generator.max_num_batched_tokens=65536', 'generator.enable_prefix_caching=true', 'generator.enable_chunked_prefill=true', 'generator.run_engines_locally=true', 'generator.weight_sync_backend=nccl', 'generator.async_engine=true', 'generator.batched=false', 'generator.enable_http_endpoint=true', 'generator.enable_ray_prometheus_stats=false', 'generator.vllm_stats_interval=1', 'generator.append_eos_token_after_stop_str_in_multi_turn=true', 'generator.max_turns=999999', 'generator.sampling_params.max_generate_length=4096', 'generator.sampling_params.temperature=0.7', 'generator.sampling_params.top_p=0.95', 'generator.sampling_params.top_k=20', '++generator.engine_init_kwargs.max_model_len=32768', '++generator.engine_init_kwargs.custom_chat_template_chat_completion_path=chat_templates/qwen3_thinking_acc.jinja2', '++generator.engine_init_kwargs.served_model_name=0e3bff0c4e51f6b9ec0713b98b9eec36efb91cc6', 'data.train_data=["/e/scratch/jureap59/feuer1/tasks/exp_rpt_pymethods2test-large"]', 'data.val_data=[]', '+terminal_bench_config.trials_dir=/e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/trace_jobs', '+terminal_bench_config.harbor.name=terminus-2', '+terminal_bench_config.harbor.max_episodes=999999', '+terminal_bench_config.harbor.enable_summarize=false', '+terminal_bench_config.harbor.store_all_messages=true', '+terminal_bench_config.harbor.trajectory_config.raw_content=true', '+terminal_bench_config.harbor.enable_episode_logging=false', '+terminal_bench_config.harbor.record_terminal_session=false', '+terminal_bench_config.harbor.enable_pane_logging=false', '+terminal_bench_config.harbor.strict_json_parser=true', '+terminal_bench_config.harbor.interleaved_thinking=true', '+terminal_bench_config.harbor.extra_body.chat_template_kwargs.enable_thinking=true', '+terminal_bench_config.harbor.override_timeout_sec=900', '+terminal_bench_config.harbor.override_cpus=1', '+terminal_bench_config.harbor.override_memory_mb=2048', '+terminal_bench_config.harbor.override_storage_mb=2048', '+terminal_bench_config.harbor.auto_snapshot=true', '+terminal_bench_config.harbor.verifier_override_timeout_sec=120', '+terminal_bench_config.harbor.max_retries=3', '+terminal_bench_config.harbor.min_wait_sec=60.0', '+terminal_bench_config.harbor.max_wait_sec=600.0', '+terminal_bench_config.harbor.wait_multiplier=2.0', '+terminal_bench_config.harbor.exclude_exceptions=["VerifierTimeoutError","VerifierRuntimeError","RewardFileNotFoundError","RewardFileEmptyError","VerifierOutputParseError"]', '+terminal_bench_config.harbor.n_concurrent_trials=675', '+terminal_bench_config.harbor.log_level=INFO', '+terminal_bench_config.harbor.enable_reward_shaping=false', '+terminal_bench_config.harbor.enable_error_classification=true', '+terminal_bench_config.harbor.mask_exceptions=["DaytonaError","EnvironmentStartTimeoutError","NetworkError","ConnectionError","RewardFileNotFoundError","RewardFileEmptyError","AgentEnvironmentTimeoutError","ContextLengthExceededError"]', '+terminal_bench_config.harbor.default_error_treatment=zero', '+terminal_bench_config.harbor.passthrough_exceptions=["AgentTimeoutError"]', '+terminal_bench_config.harbor.zero_exceptions=[]', '+terminal_bench_config.model_info.max_input_tokens=32000', '+terminal_bench_config.model_info.max_output_tokens=4096', '+terminal_bench_config.archiving.enabled=false', '+terminal_bench_config.trace_upload.enabled=true', '+terminal_bench_config.trace_upload.repo_org=DCAgent', '+terminal_bench_config.trace_upload.episodes=last', '+terminal_bench_config.trace_upload.dataset_type=SFT', '+terminal_bench_config.trace_upload.cleanup=true'] Traceback (most recent call last): File "", line 198, in _run_module_as_main File "", line 88, in _run_code File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/examples/terminal_bench/entrypoints/main_tbench.py", line 142, in main() File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/main.py", line 94, in decorated_main _run_hydra( File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra _run_app( File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/_internal/utils.py", line 457, in _run_app run_and_report( File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/_internal/utils.py", line 223, in run_and_report raise ex File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/_internal/utils.py", line 220, in run_and_report return func() ^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/_internal/utils.py", line 458, in lambda: hydra.run( ^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/_internal/hydra.py", line 132, in run _ = ret.return_value ^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/core/utils.py", line 260, in return_value raise self._return_value File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/hydra/core/utils.py", line 186, in run_job ret.return_value = task_function(task_cfg) ^^^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/examples/terminal_bench/entrypoints/main_tbench.py", line 132, in main ray.get(skyrl_entrypoint.remote(cfg)) File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_private/client_mode_hook.py", line 104, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_private/worker.py", line 2967, in get values, debugger_breakpoint = worker.get_objects( ^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_private/worker.py", line 1015, in get_objects raise value.as_instanceof_cause() ray.exceptions.RayTaskError(DistStoreError): ray::skyrl_entrypoint() (pid=391889, ip=10.128.32.33) File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/examples/terminal_bench/entrypoints/main_tbench.py", line 105, in skyrl_entrypoint exp.run() File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/skyrl_train/entrypoints/main_base.py", line 481, in run trainer = self._setup_trainer() ^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/skyrl_train/entrypoints/main_base.py", line 450, in _setup_trainer trainer.build_models(PolicyWorker, CriticWorker, RefWorker, policy_pg=self.policy_pg) File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/skyrl_train/trainer.py", line 768, in build_models policy_model = PPORayActorGroup( ^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/skyrl_train/workers/worker.py", line 511, in __init__ self._initiate_actors(pg, num_gpus_per_actor) File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/skyrl_train/workers/worker.py", line 637, in _initiate_actors ray.get([actor.init_worker_process_group.remote() for actor in self._actor_handlers]) ^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ ray.exceptions.RayTaskError(DistStoreError): ray::FSDPPolicyWorkerBase.init_worker_process_group() (pid=2662625, ip=10.128.32.46, actor_id=b5939e2b137362308272f3e202000000, repr=) File "/e/scratch/jureap59/feuer1/miniforge3/lib/python3.12/concurrent/futures/_base.py", line 449, in result return self.__get_result() ^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/miniforge3/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result raise self._exception ^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/SkyRL/skyrl-train/skyrl_train/workers/worker.py", line 149, in init_worker_process_group torch.distributed.init_process_group( File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 95, in wrapper func_return = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 1762, in init_process_group store, rank, world_size = next(rendezvous_iterator) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 278, in _env_rendezvous_handler store = _create_c10d_store( ^^^^^^^^^^^^^^^^^^^ File "/e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 198, in _create_c10d_store return TCPStore( ^^^^^^^^^ torch.distributed.DistStoreError: Timed out after 601 seconds waiting for clients. 4/8 clients joined. Exception raised from waitForWorkers at /pytorch/torch/csrc/distributed/c10d/TCPStore.cpp:396 (most recent call first): frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) + 0xb0 (0x4000bf09c700 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libc10.so) frame #1: + 0x5e9c9c0 (0x400ae12fc9c0 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) frame #2: c10d::TCPStore::waitForWorkers() + 0x350 (0x400ae1391410 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) frame #3: c10d::TCPStore::TCPStore(std::__cxx11::basic_string, std::allocator >, c10d::TCPStoreOptions const&) + 0x468 (0x400ae13918c8 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) frame #4: + 0x109a094 (0x4000be86a094 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_python.so) frame #5: + 0x113236c (0x4000be90236c in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_python.so) frame #6: + 0x5d6d60 (0x4000bdda6d60 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_python.so) frame #7: + 0x1b7a38 (0xaaaacb007a38 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #8: _PyObject_MakeTpCall + 0x98 (0xaaaacafb5db8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #9: + 0x169f50 (0xaaaacafb9f50 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #10: + 0x1682e4 (0xaaaacafb82e4 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #11: + 0x1e0ce8 (0xaaaacb030ce8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #12: + 0x1d7ddc (0xaaaacb027ddc in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #13: + 0x646b0c (0x4000bde16b0c in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/torch/lib/libtorch_python.so) frame #14: _PyObject_MakeTpCall + 0x98 (0xaaaacafb5db8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #15: _PyEval_EvalFrameDefault + 0x280c (0xaaaacb0bae54 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #16: + 0x1808c0 (0xaaaacafd08c0 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #17: + 0x182bf8 (0xaaaacafd2bf8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #18: + 0x25fd30 (0xaaaacb0afd30 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #19: + 0x1b7d20 (0xaaaacb007d20 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #20: PyObject_Vectorcall + 0x54 (0xaaaacafb60e4 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #21: _PyEval_EvalFrameDefault + 0x280c (0xaaaacb0bae54 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #22: + 0x1808c0 (0xaaaacafd08c0 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #23: + 0x1835c8 (0xaaaacafd35c8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #24: + 0x84b708 (0x40000a80b708 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #25: + 0x865fe4 (0x40000a825fe4 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #26: + 0x823470 (0x40000a7e3470 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #27: + 0x830110 (0x40000a7f0110 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #28: + 0x174a60 (0xaaaacafc4a60 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #29: PyObject_VectorcallMethod + 0xa4 (0xaaaacafb6270 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #30: PyIter_Send + 0xbc (0xaaaacaf9b62c in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #31: + 0xaa04 (0x40000ca7aa04 in /e/scratch/jureap59/feuer1/miniforge3/lib/python3.12/lib-dynload/_asyncio.cpython-312-aarch64-linux-gnu.so) frame #32: + 0xbcc4 (0x40000ca7bcc4 in /e/scratch/jureap59/feuer1/miniforge3/lib/python3.12/lib-dynload/_asyncio.cpython-312-aarch64-linux-gnu.so) frame #33: _PyObject_MakeTpCall + 0x98 (0xaaaacafb5db8 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #34: + 0x28cfac (0xaaaacb0dcfac in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #35: + 0x1b7b68 (0xaaaacb007b68 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #36: _PyEval_EvalFrameDefault + 0x52ac (0xaaaacb0bd8f4 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #37: + 0x83c564 (0x40000a7fc564 in /e/scratch/jureap59/feuer1/OpenThoughts-Agent/envs/rl/lib/python3.12/site-packages/ray/_raylet.so) frame #38: _PyEval_EvalFrameDefault + 0x52ac (0xaaaacb0bd8f4 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #39: + 0x169f88 (0xaaaacafb9f88 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #40: + 0x36002c (0xaaaacb1b002c in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #41: + 0x2e4024 (0xaaaacb134024 in ray::FSDPPolicyWorkerBase.init_worker_process_group) frame #42: + 0x80e00 (0x400009730e00 in /lib64/libc.so.6) frame #43: + 0xeb49c (0x40000979b49c in /lib64/libc.so.6) Stopping Ray cluster... Warning: Failed to stop Ray on jpbo-041-36: Command '['srun', '--export=ALL,WANDB_MODE=offline,GLOO_USE_IPV6=0,NCCL_SOCKET_FAMILY=AF_INET,VLLM_FORCE_IPV4=1,VLLM_SKIP_FLAG_DISCOVERY=1,SKYRL_ENABLE_NUMA_AFFINITY=1,DISABLE_AIOHTTP_TRANSPORT=True,VLLM_ALLREDUCE_USE_SYMM_MEM=0,TORCH_CUDNN_SDPA_ENABLED=0,PYTHONFAULTHANDLER=1,TORCH_NCCL_ASYNC_ERROR_HANDLING=1,TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC=1800,TORCH_NCCL_BLOCKING_WAIT_TIMEOUT_MS=1800000,VLLM_MQ_MAX_CHUNKS=240,OT_AGENT_RAY_LOG_DIR=/e/data1/datasets/playground/ot-baf/experiments/_ray_logs,TORCH_NCCL_TRACE_BUFFER_SIZE=10000,TORCH_FR_BUFFER_SIZE=10000,TORCH_NCCL_DESYNC_DEBUG=1,TORCH_NCCL_DEBUG_INFO_TEMP_FILE=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps/nccl_trace,VLLM_PYNCCL_TRACE_BUFFER_SIZE=10000,VLLM_PYNCCL_TRACE_DUMP_DIR=/e/data1/datasets/playground/ot-baf/experiments/_nccl_dumps/nccl_trace,VLLM_RAY_EXTRA_ENV_VAR_PREFIXES_TO_COPY=TORCH_NCCL_,TORCH_FR_,VLLM_PYNCCL_', '--nodes=1', '--ntasks=1', '--overlap', '--cpu-bind=none', '-w', 'jpbo-041-36', 'bash', '-c', 'unset LD_PRELOAD PROXYCHAINS_CONF_FILE 2>/dev/null; ray stop --force']' timed out after 30 seconds Ray cluster stopped [RLJobRunner] Crash detected (exit!=0) — preserving Ray logs to /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0/ray_logs BEFORE trace upload (so a wall-clock kill can't lose crash evidence)... [RLJobRunner] Crash-time Ray log preservation timed out (600s); continuing. [RLJobRunner] Launching trace upload (training exit code: 1): repo_id: DCAgent/ablation-pymethods2test-seqmean-arm0 job_dir: /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ablation-pymethods2test-seqmean-arm0 episodes: last log: /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/logs/ablation-pymethods2test-seqmean-arm0_trace_upload.log [RLJobRunner] Waiting for trace upload to complete... [RLJobRunner] Trace upload failed with exit code 1. Preserving Ray logs to /e/data1/datasets/playground/ot-baf/ablation-pymethods2test-seqmean-arm0/ray_logs/ Collecting Ray logs from worker jpbo-041-34... Collecting Ray logs from worker jpbo-041-35... Collecting Ray logs from worker jpbo-041-36... Collecting Ray logs from worker jpbo-041-37... Collecting Ray logs from worker jpbo-041-38... Collecting Ray logs from worker jpbo-041-39... Collecting Ray logs from worker jpbo-041-40... Collecting Ray logs from worker jpbo-041-41... Collecting Ray logs from worker jpbo-041-42... Collecting Ray logs from worker jpbo-041-43... Collecting Ray logs from worker jpbo-041-44... Collecting Ray logs from worker jpbo-041-45... Collecting Ray logs from worker jpbo-041-46... Ray log preservation complete