[content] /p/project1/envcomp/mihir/logs/eval/eval_miles_run/eval_miles_run_13057326.log (log)
[2026-01-04 17:05:26] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:05:26] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:05:26] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:05:27] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:05:27] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:05:27] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:05:27] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:05:27] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:05:27] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:05:27] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:05:27] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:05:27] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:05:27] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:05:27] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:05:27] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:05:30 TP1] Init torch distributed begin.
[2026-01-04 17:05:30 TP3] Init torch distributed begin.
[2026-01-04 17:05:30 TP0] Init torch distributed begin.
[2026-01-04 17:05:30 TP2] Init torch distributed begin.
[W104 17:05:31.506504223 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30780 (errno: 97 - Address family not supported by protocol).
[W104 17:05:31.598694315 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30780 (errno: 97 - Address family not supported by protocol).
[W104 17:05:31.603411330 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30780 (errno: 97 - Address family not supported by protocol).
[W104 17:05:31.613940950 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30780 (errno: 97 - Address family not supported by protocol).
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[2026-01-04 17:05:32 TP0] sglang is using nccl==2.27.5
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[2026-01-04 17:05:32 TP0] Init torch distributed ends. mem usage=1.01 GB
[2026-01-04 17:05:32 TP3] Init torch distributed ends. mem usage=1.08 GB
[2026-01-04 17:05:32 TP2] Init torch distributed ends. mem usage=1.01 GB
[2026-01-04 17:05:32 TP1] Init torch distributed ends. mem usage=1.08 GB
[2026-01-04 17:05:32 TP0] MOE_RUNNER_BACKEND is not initialized, the backend will be automatically selected
[2026-01-04 17:05:35 TP0] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-04 17:05:35 TP2] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-04 17:05:35 TP1] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-04 17:05:35 TP3] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-04 17:05:35 TP3] Load weight begin. avail mem=37.99 GB
[2026-01-04 17:05:35 TP1] Load weight begin. avail mem=37.99 GB
[2026-01-04 17:05:35 TP0] Load weight begin. avail mem=38.06 GB
[2026-01-04 17:05:35 TP2] Load weight begin. avail mem=38.06 GB

Loading safetensors checkpoint shards:   0% Completed | 0/2 [00:00<?, ?it/s]

Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:00<00:00,  2.31it/s]

Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:00<00:00,  2.31it/s]

[2026-01-04 17:05:36 TP3] Load weight end. type=Qwen3ForCausalLM, dtype=torch.bfloat16, avail mem=37.17 GB, mem usage=0.83 GB.
[2026-01-04 17:05:36 TP2] Load weight end. type=Qwen3ForCausalLM, dtype=torch.bfloat16, avail mem=37.24 GB, mem usage=0.83 GB.
[2026-01-04 17:05:36 TP0] Load weight end. type=Qwen3ForCausalLM, dtype=torch.bfloat16, avail mem=37.24 GB, mem usage=0.83 GB.
[2026-01-04 17:05:36 TP1] Load weight end. type=Qwen3ForCausalLM, dtype=torch.bfloat16, avail mem=37.17 GB, mem usage=0.83 GB.
[2026-01-04 17:05:36 TP0] Using csgmv as backend of LoRA kernels.
[2026-01-04 17:05:36 TP2] Using csgmv as backend of LoRA kernels.
[2026-01-04 17:05:36 TP1] Using csgmv as backend of LoRA kernels.
[2026-01-04 17:05:36 TP3] Using csgmv as backend of LoRA kernels.

Loading safetensors checkpoint shards:   0% Completed | 0/1 [00:00<?, ?it/s]

Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:00<00:00, 21.96it/s]

[2026-01-04 17:05:37 TP0] Using KV cache dtype: torch.bfloat16
[2026-01-04 17:05:37 TP0] KV Cache is allocated. #tokens: 1106256, K size: 14.77 GB, V size: 14.77 GB
[2026-01-04 17:05:37 TP0] Memory pool end. avail mem=6.94 GB
[2026-01-04 17:05:37 TP2] KV Cache is allocated. #tokens: 1106256, K size: 14.77 GB, V size: 14.77 GB
[2026-01-04 17:05:37 TP2] Memory pool end. avail mem=6.94 GB
[2026-01-04 17:05:37 TP1] KV Cache is allocated. #tokens: 1106256, K size: 14.77 GB, V size: 14.77 GB
[2026-01-04 17:05:37 TP1] Memory pool end. avail mem=6.87 GB
[2026-01-04 17:05:37 TP3] KV Cache is allocated. #tokens: 1106256, K size: 14.77 GB, V size: 14.77 GB
[2026-01-04 17:05:37 TP3] Memory pool end. avail mem=6.87 GB
[2026-01-04 17:05:37 TP0] Capture cuda graph begin. This can take up to several minutes. avail mem=6.30 GB
[2026-01-04 17:05:37 TP0] Capture cuda graph bs [1, 2, 4, 8, 12, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160]
[2026-01-04 17:05:37 TP2] Capture cuda graph begin. This can take up to several minutes. avail mem=6.30 GB
[2026-01-04 17:05:37 TP3] Capture cuda graph begin. This can take up to several minutes. avail mem=6.23 GB
[2026-01-04 17:05:37 TP1] Capture cuda graph begin. This can take up to several minutes. avail mem=6.23 GB

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[2026-01-04 17:05:42 TP0] Registering 1368 cuda graph addresses
[2026-01-04 17:05:42 TP0] Capture cuda graph end. Time elapsed: 5.34 s. mem usage=0.60 GB. avail mem=5.70 GB.
[2026-01-04 17:05:42 TP1] Capture cuda graph end. Time elapsed: 5.39 s. mem usage=0.60 GB. avail mem=5.63 GB.
[2026-01-04 17:05:42 TP3] Capture cuda graph end. Time elapsed: 5.43 s. mem usage=0.60 GB. avail mem=5.63 GB.
[2026-01-04 17:05:42 TP2] Capture cuda graph end. Time elapsed: 5.45 s. mem usage=0.60 GB. avail mem=5.70 GB.
[2026-01-04 17:05:43 TP0] max_total_num_tokens=1106256, chunked_prefill_size=4096, max_prefill_tokens=16384, max_running_requests=4096, context_len=40960, available_gpu_mem=5.70 GB
[2026-01-04 17:05:43] INFO:     Started server process [611062]
[2026-01-04 17:05:43] INFO:     Waiting for application startup.
[2026-01-04 17:05:43] Using default chat sampling params from model generation config: {'repetition_penalty': 1.0, 'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}
[2026-01-04 17:05:43] Using default chat sampling params from model generation config: {'repetition_penalty': 1.0, 'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}
[2026-01-04 17:05:43] INFO:     Application startup complete.
[2026-01-04 17:05:43] INFO:     Uvicorn running on http://0.0.0.0:30000 (Press CTRL+C to quit)
[2026-01-04 17:05:44] INFO:     127.0.0.1:57520 - "GET /model_info HTTP/1.1" 200 OK
[2026-01-04 17:05:45 TP0] Prefill batch, #new-seq: 1, #new-token: 6, #cached-token: 0, token usage: 0.00, #running-req: 0, #queue-req: 0, 
[2026-01-04 17:05:45] INFO:     127.0.0.1:57544 - "GET /v1/models HTTP/1.1" 200 OK
Using server at http://0.0.0.0:30000/v1
Launching sglang server:
  /p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/bin/python -m sglang.launch_server --model-path /p/scratch/envcomp/mihir/huggingface/Qwen3-1.7B --host 0.0.0.0 --port 30000 --context-length 40960 --mem-fraction-static 0.8 --tp-size 4 --lora-paths /p/scratch/envcomp/mihir/huggingface/shared_data/13032802/checkpoints/iter_0001000/
Waiting for server at http://0.0.0.0:30000 ...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server is up.

Filtered dataset:
  Valid test cases: 5
  Skipped (too long): 0

Running 5 test cases with concurrency=64 ...

  0%|          | 0/5 [00:00<?, ?it/s][2026-01-04 17:05:45 TP0] Prefill batch, #new-seq: 2, #new-token: 4096, #cached-token: 0, token usage: 0.00, #running-req: 1, #queue-req: 3, 
[2026-01-04 17:05:45 TP0] Prefill batch, #new-seq: 2, #new-token: 4096, #cached-token: 91, token usage: 0.00, #running-req: 1, #queue-req: 2, 
[2026-01-04 17:05:46 TP0] Prefill batch, #new-seq: 1, #new-token: 4096, #cached-token: 0, token usage: 0.01, #running-req: 1, #queue-req: 2, 
[2026-01-04 17:05:46 TP0] Prefill batch, #new-seq: 13, #new-token: 1965, #cached-token: 17611, token usage: 0.01, #running-req: 1, #queue-req: 0, 
[2026-01-04 17:05:46 TP0] Prefill batch, #new-seq: 10, #new-token: 10, #cached-token: 54110, token usage: 0.01, #running-req: 14, #queue-req: 0, 
[2026-01-04 17:05:46 TP0] Prefill batch, #new-seq: 30, #new-token: 30, #cached-token: 141650, token usage: 0.01, #running-req: 21, #queue-req: 0, 
[2026-01-04 17:05:46] INFO:     127.0.0.1:57530 - "POST /generate HTTP/1.1" 200 OK
[2026-01-04 17:05:46] The server is fired up and ready to roll!
[2026-01-04 17:05:46] INFO:     127.0.0.1:57604 - "POST /v1/chat/completions HTTP/1.1" 200 OK

 20%|██        | 1/5 [00:01<00:04,  1.21s/it][2026-01-04 17:05:46] INFO:     127.0.0.1:57554 - "POST /v1/chat/completions HTTP/1.1" 200 OK

 40%|████      | 2/5 [00:01<00:01,  1.75it/s][2026-01-04 17:05:46] INFO:     127.0.0.1:57564 - "POST /v1/chat/completions HTTP/1.1" 200 OK
[2026-01-04 17:05:46 TP0] Decode batch, #running-req: 20, #token: 13910, token usage: 0.01, cuda graph: True, gen throughput (token/s): 93.41, #queue-req: 0, 
[2026-01-04 17:05:46] INFO:     127.0.0.1:57578 - "POST /v1/chat/completions HTTP/1.1" 200 OK

 80%|████████  | 4/5 [00:01<00:00,  3.98it/s][2026-01-04 17:05:46 TP0] Decode batch, #running-req: 10, #token: 6887, token usage: 0.01, cuda graph: True, gen throughput (token/s): 3437.09, #queue-req: 0, 
[2026-01-04 17:05:46] INFO:     127.0.0.1:57588 - "POST /v1/chat/completions HTTP/1.1" 200 OK

100%|██████████| 5/5 [00:01<00:00,  3.10it/s]
[2026-01-04 17:05:46] SIGTERM received. signum=None frame=None. Draining requests and shutting down...
[2026-01-04 17:05:50] Gracefully exiting... Remaining number of requests 0. Remaining requests remaining_rids=[].

==================================================
--- Evaluation Complete ---
==================================================
Total Test Cases: 5
Number of Samples per Task: 10
Total Exact Match Pass At N: 2
Total Exact Match Avg At N: 40.00%
Generations output file: data/eval/output/13032802/qwen1.7B_lora_bs_8_13032802_1000_generations.jsonl
Shutting down sglang server ...
Done
evaluating..
/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/tyro/_parsers.py:353: UserWarning: The field `wandb-log-dir` is annotated with type `<class 'str'>`, but the default value `None` has type `<class 'NoneType'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
[2026-01-04 17:05:59] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:05:59] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:05:59] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:06:02] INFO server_args.py:1565: Attention backend not specified. Use flashinfer backend by default.
[2026-01-04 17:06:02] server_args=ServerArgs(model_path='/p/scratch/envcomp/mihir/huggingface/Qwen3-30B-A3B', tokenizer_path='/p/scratch/envcomp/mihir/huggingface/Qwen3-30B-A3B', tokenizer_mode='auto', tokenizer_worker_num=1, skip_tokenizer_init=False, load_format='auto', model_loader_extra_config='{}', trust_remote_code=False, context_length=40960, is_embedding=False, enable_multimodal=None, revision=None, model_impl='auto', host='localhost', port=30000, fastapi_root_path='', grpc_mode=False, skip_server_warmup=False, warmups=None, nccl_port=None, checkpoint_engine_wait_weights_before_ready=False, dtype='auto', quantization=None, quantization_param_path=None, kv_cache_dtype='auto', enable_fp32_lm_head=False, modelopt_quant=None, modelopt_checkpoint_restore_path=None, modelopt_checkpoint_save_path=None, modelopt_export_path=None, quantize_and_serve=False, rl_quant_profile=None, mem_fraction_static=0.75, max_running_requests=None, max_queued_requests=None, max_total_tokens=None, chunked_prefill_size=4096, enable_dynamic_chunking=False, max_prefill_tokens=16384, prefill_max_requests=None, schedule_policy='fcfs', enable_priority_scheduling=False, abort_on_priority_when_disabled=False, schedule_low_priority_values_first=False, priority_scheduling_preemption_threshold=10, schedule_conservativeness=1.0, page_size=1, hybrid_kvcache_ratio=None, swa_full_tokens_ratio=0.8, disable_hybrid_swa_memory=False, radix_eviction_policy='lru', device='cuda', tp_size=4, pp_size=1, pp_max_micro_batch_size=None, pp_async_batch_depth=0, stream_interval=1, stream_output=False, random_seed=990616205, constrained_json_whitespace_pattern=None, constrained_json_disable_any_whitespace=False, watchdog_timeout=300, soft_watchdog_timeout=None, dist_timeout=None, download_dir=None, base_gpu_id=0, gpu_id_step=1, sleep_on_idle=False, custom_sigquit_handler=None, log_level='info', log_level_http=None, log_requests=False, log_requests_level=2, log_requests_format='text', crash_dump_folder=None, show_time_cost=False, enable_metrics=False, enable_metrics_for_all_schedulers=False, tokenizer_metrics_custom_labels_header='x-custom-labels', tokenizer_metrics_allowed_custom_labels=None, bucket_time_to_first_token=None, bucket_inter_token_latency=None, bucket_e2e_request_latency=None, collect_tokens_histogram=False, prompt_tokens_buckets=None, generation_tokens_buckets=None, gc_warning_threshold_secs=0.0, decode_log_interval=40, enable_request_time_stats_logging=False, kv_events_config=None, enable_trace=False, otlp_traces_endpoint='localhost:4317', export_metrics_to_file=False, export_metrics_to_file_dir=None, api_key=None, served_model_name='/p/scratch/envcomp/mihir/huggingface/Qwen3-30B-A3B', weight_version='default', chat_template=None, completion_template=None, file_storage_path='sglang_storage', enable_cache_report=False, reasoning_parser=None, tool_call_parser=None, tool_server=None, sampling_defaults='model', dp_size=1, load_balance_method='round_robin', prefill_round_robin_balance=False, dist_init_addr=None, nnodes=1, node_rank=0, json_model_override_args='{}', preferred_sampling_params=None, enable_lora=None, max_lora_rank=None, lora_target_modules=None, lora_paths=None, max_loaded_loras=None, max_loras_per_batch=8, lora_eviction_policy='lru', lora_backend='csgmv', max_lora_chunk_size=16, attention_backend='flashinfer', decode_attention_backend=None, prefill_attention_backend=None, sampling_backend='flashinfer', grammar_backend='xgrammar', mm_attention_backend=None, fp8_gemm_runner_backend='auto', nsa_prefill_backend='flashmla_sparse', nsa_decode_backend='fa3', disable_flashinfer_autotune=False, speculative_algorithm=None, speculative_draft_model_path=None, speculative_draft_model_revision=None, speculative_draft_load_format=None, speculative_num_steps=None, speculative_eagle_topk=None, speculative_num_draft_tokens=None, speculative_accept_threshold_single=1.0, speculative_accept_threshold_acc=1.0, speculative_token_map=None, speculative_attention_mode='prefill', speculative_draft_attention_backend=None, speculative_moe_runner_backend='auto', speculative_moe_a2a_backend=None, speculative_draft_model_quantization=None, speculative_ngram_min_match_window_size=1, speculative_ngram_max_match_window_size=12, speculative_ngram_min_bfs_breadth=1, speculative_ngram_max_bfs_breadth=10, speculative_ngram_match_type='BFS', speculative_ngram_branch_length=18, speculative_ngram_capacity=10000000, enable_multi_layer_eagle=False, ep_size=1, moe_a2a_backend='none', moe_runner_backend='auto', flashinfer_mxfp4_moe_precision='default', enable_flashinfer_allreduce_fusion=False, deepep_mode='auto', ep_num_redundant_experts=0, ep_dispatch_algorithm=None, init_expert_location='trivial', enable_eplb=False, eplb_algorithm='auto', eplb_rebalance_num_iterations=1000, eplb_rebalance_layers_per_chunk=None, eplb_min_rebalancing_utilization_threshold=1.0, expert_distribution_recorder_mode=None, expert_distribution_recorder_buffer_size=1000, enable_expert_distribution_metrics=False, deepep_config=None, moe_dense_tp_size=None, elastic_ep_backend=None, mooncake_ib_device=None, max_mamba_cache_size=None, mamba_ssm_dtype='float32', mamba_full_memory_ratio=0.9, mamba_scheduler_strategy='no_buffer', mamba_track_interval=256, enable_hierarchical_cache=False, hicache_ratio=2.0, hicache_size=0, hicache_write_policy='write_through', hicache_io_backend='kernel', hicache_mem_layout='layer_first', hicache_storage_backend=None, hicache_storage_prefetch_policy='best_effort', hicache_storage_backend_extra_config=None, enable_lmcache=False, kt_weight_path=None, kt_method='AMXINT4', kt_cpuinfer=None, kt_threadpool_count=2, kt_num_gpu_experts=None, kt_max_deferred_experts_per_token=None, dllm_algorithm=None, dllm_algorithm_config=None, enable_double_sparsity=False, ds_channel_config_path=None, ds_heavy_channel_num=32, ds_heavy_token_num=256, ds_heavy_channel_type='qk', ds_sparse_decode_threshold=4096, cpu_offload_gb=0, offload_group_size=-1, offload_num_in_group=1, offload_prefetch_step=1, offload_mode='cpu', multi_item_scoring_delimiter=None, disable_radix_cache=False, cuda_graph_max_bs=160, cuda_graph_bs=[1, 2, 4, 8, 12, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160], disable_cuda_graph=False, disable_cuda_graph_padding=False, enable_profile_cuda_graph=False, enable_cudagraph_gc=False, enable_layerwise_nvtx_marker=False, enable_nccl_nvls=False, enable_symm_mem=False, disable_flashinfer_cutlass_moe_fp4_allgather=False, enable_tokenizer_batch_encode=False, disable_tokenizer_batch_decode=False, disable_outlines_disk_cache=False, disable_custom_all_reduce=False, enable_mscclpp=False, enable_torch_symm_mem=False, disable_overlap_schedule=False, enable_mixed_chunk=False, enable_dp_attention=False, enable_dp_lm_head=False, enable_two_batch_overlap=False, enable_single_batch_overlap=False, tbo_token_distribution_threshold=0.48, enable_torch_compile=False, enable_piecewise_cuda_graph=False, enable_torch_compile_debug_mode=False, torch_compile_max_bs=32, piecewise_cuda_graph_max_tokens=4096, piecewise_cuda_graph_tokens=[4, 8, 12, 16, 20, 24, 28, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256, 288, 320, 352, 384, 416, 448, 480, 512, 640, 768, 896, 1024, 1152, 1280, 1408, 1536, 1664, 1792, 1920, 2048, 2176, 2304, 2432, 2560, 2688, 2816, 2944, 3072, 3200, 3328, 3456, 3584, 3712, 3840, 3968, 4096], piecewise_cuda_graph_compiler='eager', torchao_config='', enable_nan_detection=False, enable_p2p_check=False, triton_attention_reduce_in_fp32=False, triton_attention_num_kv_splits=8, triton_attention_split_tile_size=None, num_continuous_decode_steps=1, delete_ckpt_after_loading=False, enable_memory_saver=False, enable_weights_cpu_backup=False, enable_draft_weights_cpu_backup=False, allow_auto_truncate=False, enable_custom_logit_processor=False, flashinfer_mla_disable_ragged=False, disable_shared_experts_fusion=False, disable_chunked_prefix_cache=False, disable_fast_image_processor=False, keep_mm_feature_on_device=False, enable_return_hidden_states=False, enable_return_routed_experts=False, scheduler_recv_interval=1, numa_node=None, enable_deterministic_inference=False, rl_on_policy_target=None, enable_attn_tp_input_scattered=False, enable_nsa_prefill_context_parallel=False, enable_fused_qk_norm_rope=False, enable_precise_embedding_interpolation=False, enable_dynamic_batch_tokenizer=False, dynamic_batch_tokenizer_batch_size=32, dynamic_batch_tokenizer_batch_timeout=0.002, debug_tensor_dump_output_folder=None, debug_tensor_dump_layers=None, debug_tensor_dump_input_file=None, debug_tensor_dump_inject=False, disaggregation_mode='null', disaggregation_transfer_backend='mooncake', disaggregation_bootstrap_port=8998, disaggregation_decode_tp=None, disaggregation_decode_dp=None, disaggregation_prefill_pp=1, disaggregation_ib_device=None, disaggregation_decode_enable_offload_kvcache=False, disaggregation_decode_enable_fake_auto=False, num_reserved_decode_tokens=512, disaggregation_decode_polling_interval=1, encoder_only=False, language_only=False, encoder_transfer_backend='zmq_to_scheduler', encoder_urls=[], custom_weight_loader=[], weight_loader_disable_mmap=False, remote_instance_weight_loader_seed_instance_ip=None, remote_instance_weight_loader_seed_instance_service_port=None, remote_instance_weight_loader_send_weights_group_ports=None, remote_instance_weight_loader_backend='nccl', remote_instance_weight_loader_start_seed_via_transfer_engine=False, enable_pdmux=False, pdmux_config_path=None, sm_group_num=8, mm_max_concurrent_calls=32, mm_per_request_timeout=10.0, enable_broadcast_mm_inputs_process=False, enable_prefix_mm_cache=False, mm_enable_dp_encoder=False, mm_process_config={}, limit_mm_data_per_request=None, decrypted_config_file=None, decrypted_draft_config_file=None, forward_hooks=None)
[2026-01-04 17:06:03] Using default HuggingFace chat template with detected content format: string
[2026-01-04 17:06:11] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:06:11] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:06:11] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:06:11] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:06:11] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:06:11] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:06:12] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:06:12] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:06:12] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:06:12] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:06:12] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:06:12] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:06:12] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-04 17:06:12] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-04 17:06:12] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-04 17:06:15 TP3] Init torch distributed begin.
[2026-01-04 17:06:15 TP1] Init torch distributed begin.
[2026-01-04 17:06:15 TP2] Init torch distributed begin.
[2026-01-04 17:06:15 TP0] Init torch distributed begin.
[W104 17:06:16.171493843 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30749 (errno: 97 - Address family not supported by protocol).
[W104 17:06:16.218613559 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30749 (errno: 97 - Address family not supported by protocol).
[W104 17:06:16.471887537 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30749 (errno: 97 - Address family not supported by protocol).
[W104 17:06:16.474850155 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30749 (errno: 97 - Address family not supported by protocol).
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[2026-01-04 17:06:16 TP0] sglang is using nccl==2.27.5
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[2026-01-04 17:06:17 TP0] Init torch distributed ends. mem usage=1.01 GB
[2026-01-04 17:06:17 TP3] Init torch distributed ends. mem usage=1.08 GB
[2026-01-04 17:06:17 TP2] Init torch distributed ends. mem usage=1.01 GB
[2026-01-04 17:06:17 TP1] Init torch distributed ends. mem usage=1.08 GB
[2026-01-04 17:06:19 TP2] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-04 17:06:19 TP1] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-04 17:06:20 TP3] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-04 17:06:20 TP0] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-04 17:06:20 TP2] Load weight begin. avail mem=38.06 GB
[2026-01-04 17:06:20 TP1] Load weight begin. avail mem=37.99 GB
[2026-01-04 17:06:20 TP3] Load weight begin. avail mem=37.99 GB
[2026-01-04 17:06:20 TP0] Load weight begin. avail mem=38.06 GB

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