WARNING: CPU IP/backtrace sampling not supported, disabling.
Try the 'nsys status --environment' command to learn more.

WARNING: CPU context switch tracing not supported, disabling.
Try the 'nsys status --environment' command to learn more.

INFO 08-10 18:10:22 [__init__.py:244] Automatically detected platform cuda.
INFO:__main__:FastTTS AIME Experiment
INFO:__main__:==================================================
INFO:__main__:Starting FastTTS AIME experiment
INFO:__main__:Parameters: {'num_iterations': 10, 'n': 128, 'temperature': 2, 'beam_width': 4, 'generator_model': 'Qwen/Qwen2.5-Math-1.5B-Instruct', 'verifier_model': 'peiyi9979/math-shepherd-mistral-7b-prm', 'generator_gpu_memory': 0.28, 'verifier_gpu_memory': 0.62, 'offload_enabled': False, 'spec_beam_extension': False, 'prefix_aware_scheduling': False}
INFO:__main__:Loaded AIME dataset with 30 samples
INFO:__main__:Problem: Every morning Aya goes for a $9$-kilometer-long walk and stops at a coffee shop afterwards. When she walks at a constant speed of $s$ kilometers per hour, the walk takes her 4 hours, including $t$ minutes spent in the coffee shop. When she walks $s+2$ kilometers per hour, the walk takes her 2 hours and 24 minutes, including $t$ minutes spent in the coffee shop. Suppose Aya walks at $s+\frac{1}{2}$ kilometers per hour. Find the number of minutes the walk takes her, including the $t$ minutes spent in the coffee shop.
INFO:__main__:Reference answer: 204
INFO:__main__:Initializing FastTTS models...
INFO:fasttts:Initializing FastTTS models...
INFO:models.vllm_wrapper:Initializing generator model: Qwen/Qwen2.5-Math-1.5B-Instruct
INFO 08-10 18:10:34 [__init__.py:244] Automatically detected platform cuda.
INFO:models.tts_llm:Using V0 engine with speculative beam extension: False
INFO:models.tts_llm:Prefix-aware scheduling enabled: False
✅ Process PID: 3674655  |  CUDA Context Object: None
INFO 08-10 18:10:44 [config.py:841] This model supports multiple tasks: {'classify', 'embed', 'reward', 'generate'}. Defaulting to 'generate'.
INFO 08-10 18:10:44 [config.py:1472] Using max model len 4096
INFO:models.generator_engine:Using GeneratorLLMEngine with vLLM version 0.9.2
INFO 08-10 18:10:45 [llm_engine.py:230] Initializing a V0 LLM engine (v0.9.2) with config: model='Qwen/Qwen2.5-Math-1.5B-Instruct', speculative_config=None, tokenizer='Qwen/Qwen2.5-Math-1.5B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=4096, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(backend='xgrammar', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_backend=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=42, served_model_name=Qwen/Qwen2.5-Math-1.5B-Instruct, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=False, use_async_output_proc=True, pooler_config=None, compilation_config={"level":0,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":[],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"use_cudagraph":false,"cudagraph_num_of_warmups":0,"cudagraph_capture_sizes":[256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"max_capture_size":256,"local_cache_dir":null}, use_cached_outputs=False, 
INFO 08-10 18:10:46 [cuda.py:363] Using Flash Attention backend.
INFO 08-10 18:10:47 [parallel_state.py:1076] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
INFO 08-10 18:10:47 [model_runner.py:1171] Starting to load model Qwen/Qwen2.5-Math-1.5B-Instruct...
INFO 08-10 18:10:47 [weight_utils.py:292] Using model weights format ['*.safetensors']
INFO 08-10 18:10:48 [weight_utils.py:345] No model.safetensors.index.json found in remote.

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INFO 08-10 18:10:48 [default_loader.py:272] Loading weights took 0.65 seconds
INFO 08-10 18:10:49 [model_runner.py:1203] Model loading took 2.8798 GiB and 1.729692 seconds
INFO 08-10 18:10:50 [worker.py:294] Memory profiling takes 0.58 seconds
INFO 08-10 18:10:50 [worker.py:294] the current vLLM instance can use total_gpu_memory (23.64GiB) x gpu_memory_utilization (0.28) = 6.62GiB
INFO 08-10 18:10:50 [worker.py:294] model weights take 2.88GiB; non_torch_memory takes 0.08GiB; PyTorch activation peak memory takes 1.40GiB; the rest of the memory reserved for KV Cache is 2.27GiB.
INFO 08-10 18:10:50 [executor_base.py:113] # cuda blocks: 5305, # CPU blocks: 9362
INFO 08-10 18:10:50 [executor_base.py:118] Maximum concurrency for 4096 tokens per request: 20.72x
INFO 08-10 18:10:52 [model_runner.py:1513] Capturing cudagraphs for decoding. This may lead to unexpected consequences if the model is not static. To run the model in eager mode, set 'enforce_eager=True' or use '--enforce-eager' in the CLI. If out-of-memory error occurs during cudagraph capture, consider decreasing `gpu_memory_utilization` or switching to eager mode. You can also reduce the `max_num_seqs` as needed to decrease memory usage.

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INFO 08-10 18:11:07 [model_runner.py:1671] Graph capturing finished in 15 secs, took 0.23 GiB
INFO 08-10 18:11:07 [llm_engine.py:428] init engine (profile, create kv cache, warmup model) took 18.29 seconds
INFO:models.custom_scheduler:Using CustomScheduler
INFO:models.custom_scheduler:CustomScheduler initialized with config: SchedulerConfig(runner_type='generate', max_num_batched_tokens=4096, max_num_seqs=256, max_model_len=4096, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, cuda_graph_sizes=[512], delay_factor=0.0, enable_chunked_prefill=False, is_multimodal_model=False, max_num_encoder_input_tokens=4096, encoder_cache_size=4096, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, send_delta_data=False, policy='fcfs', chunked_prefill_enabled=False, disable_chunked_mm_input=False, scheduler_cls=<class 'models.custom_scheduler.CustomScheduler'>, disable_hybrid_kv_cache_manager=False)
INFO:models.vllm_wrapper:Generator model initialized successfully in separate process
INFO:models.vllm_wrapper:Initializing verifier model: peiyi9979/math-shepherd-mistral-7b-prm
INFO 08-10 18:11:12 [__init__.py:244] Automatically detected platform cuda.
INFO:models.tts_llm:Prefix-aware scheduling enabled: False
✅ Process PID: 3675033  |  CUDA Context Object: None
INFO 08-10 18:11:23 [config.py:1472] Using max model len 4096
INFO 08-10 18:11:23 [arg_utils.py:1596] (Disabling) chunked prefill by default
INFO 08-10 18:11:23 [config.py:4601] Only "last" pooling supports chunked prefill and prefix caching; disabling both.
You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message
You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message.
INFO 08-10 18:11:25 [core.py:526] Waiting for init message from front-end.
INFO 08-10 18:11:25 [core.py:69] Initializing a V1 LLM engine (v0.9.2) with config: model='peiyi9979/math-shepherd-mistral-7b-prm', speculative_config=None, tokenizer='peiyi9979/math-shepherd-mistral-7b-prm', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=4096, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(backend='xgrammar', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_backend=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=42, served_model_name=peiyi9979/math-shepherd-mistral-7b-prm, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=False, chunked_prefill_enabled=False, use_async_output_proc=False, pooler_config=PoolerConfig(pooling_type='STEP', normalize=None, softmax=True, step_tag_id=12902, returned_token_ids=[648, 387]), compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"max_capture_size":512,"local_cache_dir":null}
INFO 08-10 18:11:25 [parallel_state.py:1076] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
WARNING 08-10 18:11:26 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
INFO 08-10 18:11:26 [gpu_model_runner.py:1770] Starting to load model peiyi9979/math-shepherd-mistral-7b-prm...
INFO 08-10 18:11:26 [gpu_model_runner.py:1775] Loading model from scratch...
INFO 08-10 18:11:26 [cuda.py:284] Using Flash Attention backend on V1 engine.
INFO 08-10 18:11:27 [weight_utils.py:292] Using model weights format ['*.bin']

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INFO 08-10 18:11:37 [default_loader.py:272] Loading weights took 10.23 seconds
INFO 08-10 18:11:38 [gpu_model_runner.py:1801] Model loading took 13.2457 GiB and 11.398556 seconds
INFO 08-10 18:11:44 [backends.py:508] Using cache directory: /home/cy/.cache/vllm/torch_compile_cache/eae4db4fef/rank_0_0/backbone for vLLM's torch.compile
INFO 08-10 18:11:44 [backends.py:519] Dynamo bytecode transform time: 6.57 s
INFO 08-10 18:11:49 [backends.py:155] Directly load the compiled graph(s) for shape None from the cache, took 4.657 s
INFO 08-10 18:11:50 [monitor.py:34] torch.compile takes 6.57 s in total
INFO 08-10 18:11:51 [gpu_worker.py:232] Available KV cache memory: 0.88 GiB
INFO 08-10 18:11:51 [kv_cache_utils.py:716] GPU KV cache size: 7,168 tokens
INFO 08-10 18:11:51 [kv_cache_utils.py:720] Maximum concurrency for 4,096 tokens per request: 1.75x

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Capturing CUDA graph shapes:  94%|█████████▍| 63/67 [00:18<00:01,  3.52it/s]
Capturing CUDA graph shapes:  96%|█████████▌| 64/67 [00:18<00:00,  3.53it/s]
Capturing CUDA graph shapes:  97%|█████████▋| 65/67 [00:19<00:00,  3.56it/s]
Capturing CUDA graph shapes:  99%|█████████▊| 66/67 [00:19<00:00,  3.54it/s]
Capturing CUDA graph shapes: 100%|██████████| 67/67 [00:19<00:00,  3.53it/s]
Capturing CUDA graph shapes: 100%|██████████| 67/67 [00:19<00:00,  3.41it/s]
INFO 08-10 18:12:11 [gpu_model_runner.py:2326] Graph capturing finished in 20 secs, took 0.53 GiB
INFO 08-10 18:12:11 [core.py:172] init engine (profile, create kv cache, warmup model) took 33.63 seconds
INFO 08-10 18:12:12 [config.py:4601] Only "last" pooling supports chunked prefill and prefix caching; disabling both.
INFO:models.vllm_wrapper:Verifier model initialized successfully in separate process
INFO:fasttts:FastTTS models initialized successfully
INFO:__main__:Starting search...
INFO:fasttts:Processing 1 problems at once
INFO:search.beam_search:Starting beam search iterations

Beam search iterations:   0%|          | 0/10 [00:00<?, ?it/s]
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests:  91%|█████████ | 116/128 [00:00<00:00, 1156.56it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 1152.85it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 18:12:13 [metrics.py:417] Avg prompt throughput: 62.1 tokens/s, Avg generation throughput: 0.2 tokens/s, Running: 128 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 2.7%, CPU KV cache usage: 0.0%.
INFO 08-10 18:12:13 [metrics.py:433] Prefix cache hit rate: GPU: 99.22%, CPU: 0.00%

Processed prompts:   1%|          | 1/128 [00:00<00:26,  4.83it/s, est. speed input: 1304.80 toks/s, output: 9.66 toks/s]
Processed prompts:   5%|▍         | 6/128 [00:00<00:06, 20.01it/s, est. speed input: 4670.26 toks/s, output: 89.36 toks/s]
Processed prompts:   9%|▊         | 11/128 [00:00<00:03, 29.90it/s, est. speed input: 6626.95 toks/s, output: 214.19 toks/s]
Processed prompts:  14%|█▍        | 18/128 [00:00<00:02, 39.40it/s, est. speed input: 8450.16 toks/s, output: 398.15 toks/s]
Processed prompts:  18%|█▊        | 23/128 [00:00<00:02, 37.66it/s, est. speed input: 8639.38 toks/s, output: 545.34 toks/s]
Processed prompts:  22%|██▏       | 28/128 [00:01<00:03, 26.96it/s, est. speed input: 7486.91 toks/s, output: 637.76 toks/s]
Processed prompts:  27%|██▋       | 35/128 [00:01<00:02, 33.21it/s, est. speed input: 8236.93 toks/s, output: 945.71 toks/s]
Processed prompts:  30%|███       | 39/128 [00:01<00:03, 27.72it/s, est. speed input: 7716.23 toks/s, output: 1034.68 toks/s]
Processed prompts:  34%|███▎      | 43/128 [00:01<00:03, 27.93it/s, est. speed input: 7715.64 toks/s, output: 1187.57 toks/s]
Processed prompts:  38%|███▊      | 49/128 [00:01<00:02, 34.45it/s, est. speed input: 8238.10 toks/s, output: 1498.16 toks/s]
Processed prompts:  41%|████▏     | 53/128 [00:01<00:03, 24.46it/s, est. speed input: 7497.58 toks/s, output: 1519.93 toks/s]
Processed prompts:  45%|████▍     | 57/128 [00:02<00:04, 17.29it/s, est. speed input: 6615.13 toks/s, output: 1521.17 toks/s]
Processed prompts:  48%|████▊     | 61/128 [00:02<00:03, 19.75it/s, est. speed input: 6712.78 toks/s, output: 1738.71 toks/s]
Processed prompts:  52%|█████▏    | 66/128 [00:02<00:02, 23.43it/s, est. speed input: 6890.57 toks/s, output: 2023.46 toks/s]
Processed prompts:  55%|█████▍    | 70/128 [00:02<00:02, 23.93it/s, est. speed input: 6888.10 toks/s, output: 2215.11 toks/s]
Processed prompts:  57%|█████▋    | 73/128 [00:02<00:02, 19.68it/s, est. speed input: 6595.37 toks/s, output: 2264.70 toks/s]
Processed prompts:  60%|██████    | 77/128 [00:03<00:02, 22.02it/s, est. speed input: 6662.89 toks/s, output: 2487.59 toks/s]
Processed prompts:  62%|██████▎   | 80/128 [00:03<00:02, 16.27it/s, est. speed input: 6254.43 toks/s, output: 2485.83 toks/s]
Processed prompts:  66%|██████▋   | 85/128 [00:03<00:03, 13.06it/s, est. speed input: 5785.88 toks/s, output: 2551.56 toks/s]
Processed prompts:  69%|██████▉   | 88/128 [00:04<00:02, 14.87it/s, est. speed input: 5824.02 toks/s, output: 2744.34 toks/s]
Processed prompts:  72%|███████▏  | 92/128 [00:04<00:01, 18.51it/s, est. speed input: 5942.99 toks/s, output: 3031.53 toks/s]
Processed prompts:  74%|███████▍  | 95/128 [00:04<00:02, 12.17it/s, est. speed input: 5483.13 toks/s, output: 2978.62 toks/s]
Processed prompts:  77%|███████▋  | 98/128 [00:04<00:02, 13.43it/s, est. speed input: 5470.32 toks/s, output: 3162.89 toks/s]
Processed prompts:  78%|███████▊  | 100/128 [00:04<00:01, 14.19it/s, est. speed input: 5458.70 toks/s, output: 3283.09 toks/s]
Processed prompts:  80%|███████▉  | 102/128 [00:05<00:01, 14.60it/s, est. speed input: 5432.65 toks/s, output: 3393.32 toks/s]INFO 08-10 18:12:18 [metrics.py:417] Avg prompt throughput: 6091.3 tokens/s, Avg generation throughput: 6023.4 tokens/s, Running: 23 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 14.6%, CPU KV cache usage: 0.0%.
INFO 08-10 18:12:18 [metrics.py:433] Prefix cache hit rate: GPU: 99.22%, CPU: 0.00%

Processed prompts:  83%|████████▎ | 106/128 [00:05<00:01, 15.81it/s, est. speed input: 5410.61 toks/s, output: 3630.12 toks/s]
Processed prompts:  84%|████████▍ | 108/128 [00:06<00:02,  6.68it/s, est. speed input: 4694.73 toks/s, output: 3291.77 toks/s]
Processed prompts:  86%|████████▌ | 110/128 [00:06<00:02,  7.87it/s, est. speed input: 4700.32 toks/s, output: 3444.52 toks/s]
Processed prompts:  88%|████████▊ | 112/128 [00:06<00:01,  8.82it/s, est. speed input: 4677.47 toks/s, output: 3575.84 toks/s]
Processed prompts:  90%|████████▉ | 115/128 [00:07<00:01,  7.13it/s, est. speed input: 4413.84 toks/s, output: 3591.05 toks/s]
Processed prompts:  91%|█████████▏| 117/128 [00:07<00:01,  7.58it/s, est. speed input: 4357.83 toks/s, output: 3702.42 toks/s]
Processed prompts:  93%|█████████▎| 119/128 [00:08<00:01,  4.79it/s, est. speed input: 3968.28 toks/s, output: 3539.09 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:08<00:02,  3.14it/s, est. speed input: 3602.17 toks/s, output: 3306.10 toks/s]
Processed prompts:  95%|█████████▍| 121/128 [00:09<00:02,  3.35it/s, est. speed input: 3548.91 toks/s, output: 3351.31 toks/s]
Processed prompts:  96%|█████████▌| 123/128 [00:09<00:01,  4.08it/s, est. speed input: 3497.93 toks/s, output: 3489.70 toks/s]
Processed prompts:  98%|█████████▊| 125/128 [00:10<00:00,  3.90it/s, est. speed input: 3357.44 toks/s, output: 3536.99 toks/s]INFO 08-10 18:12:23 [metrics.py:417] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 1831.6 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 3.4%, CPU KV cache usage: 0.0%.
INFO 08-10 18:12:23 [metrics.py:433] Prefix cache hit rate: GPU: 99.22%, CPU: 0.00%

Processed prompts:  99%|█████████▉| 127/128 [00:12<00:00,  1.97it/s, est. speed input: 2827.51 toks/s, output: 3169.46 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:12<00:00,  1.97it/s, est. speed input: 2846.89 toks/s, output: 3300.36 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:12<00:00, 10.54it/s, est. speed input: 2846.89 toks/s, output: 3300.36 toks/s]

Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 16667.32it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 2/128 [00:00<00:29,  4.31it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▌         | 7/128 [00:00<00:13,  9.06it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▊         | 11/128 [00:01<00:11,  9.76it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  12%|█▏        | 15/128 [00:01<00:11, 10.03it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  14%|█▍        | 18/128 [00:01<00:11,  9.33it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  17%|█▋        | 22/128 [00:02<00:11,  9.63it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  19%|█▉        | 24/128 [00:02<00:12,  8.27it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  23%|██▎       | 29/128 [00:03<00:10,  9.72it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  24%|██▍       | 31/128 [00:03<00:11,  8.32it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  27%|██▋       | 35/128 [00:03<00:10,  8.94it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  30%|██▉       | 38/128 [00:04<00:10,  8.63it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  33%|███▎      | 42/128 [00:04<00:09,  9.29it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  37%|███▋      | 47/128 [00:05<00:07, 10.30it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  38%|███▊      | 49/128 [00:05<00:09,  8.74it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  43%|████▎     | 55/128 [00:05<00:06, 10.92it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  46%|████▌     | 59/128 [00:06<00:06, 10.73it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  49%|████▉     | 63/128 [00:06<00:06, 10.74it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  55%|█████▍    | 70/128 [00:06<00:04, 13.02it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  58%|█████▊    | 74/128 [00:07<00:04, 12.22it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  62%|██████▎   | 80/128 [00:07<00:03, 13.20it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  65%|██████▍   | 83/128 [00:08<00:03, 11.59it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  70%|██████▉   | 89/128 [00:08<00:03, 12.93it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  73%|███████▎  | 93/128 [00:08<00:02, 12.09it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  75%|███████▌  | 96/128 [00:09<00:02, 10.78it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  79%|███████▉  | 101/128 [00:09<00:02, 11.47it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  84%|████████▎ | 107/128 [00:10<00:01, 12.88it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  88%|████████▊ | 112/128 [00:10<00:01, 12.73it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  89%|████████▉ | 114/128 [00:10<00:01, 10.48it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:11<00:00, 11.97it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  96%|█████████▌| 123/128 [00:11<00:00, 10.96it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  99%|█████████▉| 127/128 [00:11<00:00, 12.75it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:11<00:00, 12.75it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:11<00:00, 10.91it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
INFO:search.beam_search:----------------------------------------------------------------------------------------------------
INFO:search.beam_search:Iteration 0 completed beams: 0, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 24.19s, length of agg_scores: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], num_steps: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], stop reasons: ['\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n']

Beam search iterations:  10%|█         | 1/10 [00:24<03:39, 24.37s/it]
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests:  23%|██▎       | 29/128 [00:00<00:00, 287.74it/s]
Adding requests:  45%|████▌     | 58/128 [00:00<00:00, 280.15it/s]
Adding requests:  68%|██████▊   | 87/128 [00:00<00:00, 269.25it/s]
Adding requests:  89%|████████▉ | 114/128 [00:00<00:00, 268.24it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 263.49it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 18:12:37 [metrics.py:417] Avg prompt throughput: 387.5 tokens/s, Avg generation throughput: 48.9 tokens/s, Running: 13 reqs, Swapped: 0 reqs, Pending: 115 reqs, GPU KV cache usage: 10.0%, CPU KV cache usage: 0.0%.
INFO 08-10 18:12:37 [metrics.py:433] Prefix cache hit rate: GPU: 81.89%, CPU: 0.00%

Processed prompts:   1%|          | 1/128 [00:00<01:32,  1.37it/s, est. speed input: 785.72 toks/s, output: 8.23 toks/s]
Processed prompts:   3%|▎         | 4/128 [00:00<00:20,  6.03it/s, est. speed input: 3763.50 toks/s, output: 38.44 toks/s]
Processed prompts:   5%|▌         | 7/128 [00:00<00:11, 10.53it/s, est. speed input: 5536.77 toks/s, output: 78.18 toks/s]
Processed prompts:   8%|▊         | 10/128 [00:01<00:08, 14.07it/s, est. speed input: 7282.23 toks/s, output: 128.15 toks/s]
Processed prompts:  11%|█         | 14/128 [00:01<00:06, 17.67it/s, est. speed input: 9547.10 toks/s, output: 202.53 toks/s]
Processed prompts:  13%|█▎        | 17/128 [00:01<00:05, 18.99it/s, est. speed input: 10325.14 toks/s, output: 263.50 toks/s]
Processed prompts:  16%|█▌        | 20/128 [00:01<00:06, 17.28it/s, est. speed input: 11030.04 toks/s, output: 312.82 toks/s]
Processed prompts:  18%|█▊        | 23/128 [00:01<00:05, 18.79it/s, est. speed input: 12256.62 toks/s, output: 381.10 toks/s]
Processed prompts:  22%|██▏       | 28/128 [00:01<00:03, 25.17it/s, est. speed input: 14388.10 toks/s, output: 518.63 toks/s]
Processed prompts:  25%|██▌       | 32/128 [00:01<00:03, 28.17it/s, est. speed input: 15337.81 toks/s, output: 627.54 toks/s]
Processed prompts:  28%|██▊       | 36/128 [00:02<00:03, 26.49it/s, est. speed input: 15682.64 toks/s, output: 717.72 toks/s]
Processed prompts:  30%|███       | 39/128 [00:02<00:03, 26.37it/s, est. speed input: 15873.27 toks/s, output: 793.50 toks/s]
Processed prompts:  33%|███▎      | 42/128 [00:02<00:03, 23.61it/s, est. speed input: 15808.27 toks/s, output: 855.90 toks/s]
Processed prompts:  36%|███▌      | 46/128 [00:02<00:03, 22.48it/s, est. speed input: 16230.02 toks/s, output: 948.58 toks/s]
Processed prompts:  38%|███▊      | 49/128 [00:02<00:03, 23.38it/s, est. speed input: 16552.30 toks/s, output: 1037.88 toks/s]
Processed prompts:  41%|████▏     | 53/128 [00:02<00:02, 26.50it/s, est. speed input: 17225.24 toks/s, output: 1173.82 toks/s]
Processed prompts:  44%|████▍     | 56/128 [00:02<00:03, 22.98it/s, est. speed input: 17025.21 toks/s, output: 1237.47 toks/s]
Processed prompts:  46%|████▌     | 59/128 [00:03<00:03, 17.54it/s, est. speed input: 16364.99 toks/s, output: 1279.31 toks/s]
Processed prompts:  50%|█████     | 64/128 [00:03<00:02, 22.17it/s, est. speed input: 17230.73 toks/s, output: 1479.98 toks/s]
Processed prompts:  53%|█████▎    | 68/128 [00:03<00:02, 24.21it/s, est. speed input: 17316.55 toks/s, output: 1632.09 toks/s]
Processed prompts:  55%|█████▌    | 71/128 [00:03<00:02, 24.43it/s, est. speed input: 17332.95 toks/s, output: 1739.44 toks/s]
Processed prompts:  59%|█████▊    | 75/128 [00:03<00:02, 24.75it/s, est. speed input: 17698.73 toks/s, output: 1885.73 toks/s]
Processed prompts:  61%|██████    | 78/128 [00:04<00:02, 17.82it/s, est. speed input: 16974.72 toks/s, output: 1913.42 toks/s]
Processed prompts:  63%|██████▎   | 81/128 [00:04<00:03, 11.83it/s, est. speed input: 15834.34 toks/s, output: 1874.84 toks/s]
Processed prompts:  65%|██████▍   | 83/128 [00:04<00:03, 12.39it/s, est. speed input: 15778.84 toks/s, output: 1938.44 toks/s]
Processed prompts:  68%|██████▊   | 87/128 [00:04<00:02, 15.90it/s, est. speed input: 16237.96 toks/s, output: 2123.08 toks/s]INFO 08-10 18:12:42 [metrics.py:417] Avg prompt throughput: 22174.1 tokens/s, Avg generation throughput: 4697.1 tokens/s, Running: 39 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 34.5%, CPU KV cache usage: 0.0%.
INFO 08-10 18:12:42 [metrics.py:433] Prefix cache hit rate: GPU: 86.42%, CPU: 0.00%

Processed prompts:  70%|███████   | 90/128 [00:05<00:02, 12.98it/s, est. speed input: 15706.44 toks/s, output: 2162.29 toks/s]
Processed prompts:  73%|███████▎  | 93/128 [00:05<00:02, 12.03it/s, est. speed input: 15230.07 toks/s, output: 2234.90 toks/s]
Processed prompts:  75%|███████▌  | 96/128 [00:05<00:02, 12.09it/s, est. speed input: 15010.90 toks/s, output: 2335.29 toks/s]
Processed prompts:  77%|███████▋  | 98/128 [00:05<00:02, 11.01it/s, est. speed input: 14640.91 toks/s, output: 2379.55 toks/s]
Processed prompts:  78%|███████▊  | 100/128 [00:06<00:02, 11.69it/s, est. speed input: 14732.06 toks/s, output: 2468.08 toks/s]
Processed prompts:  80%|███████▉  | 102/128 [00:06<00:03,  7.83it/s, est. speed input: 13875.10 toks/s, output: 2429.84 toks/s]
Processed prompts:  81%|████████▏ | 104/128 [00:06<00:02,  9.29it/s, est. speed input: 13894.07 toks/s, output: 2543.86 toks/s]
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Processed prompts:  85%|████████▌ | 109/128 [00:07<00:02,  9.32it/s, est. speed input: 13567.24 toks/s, output: 2731.54 toks/s]
Processed prompts:  87%|████████▋ | 111/128 [00:07<00:01, 10.66it/s, est. speed input: 13723.58 toks/s, output: 2851.81 toks/s]
Processed prompts:  89%|████████▉ | 114/128 [00:07<00:01,  9.20it/s, est. speed input: 13343.64 toks/s, output: 2941.91 toks/s]
Processed prompts:  91%|█████████ | 116/128 [00:08<00:01,  8.79it/s, est. speed input: 13171.96 toks/s, output: 3018.98 toks/s]
Processed prompts:  92%|█████████▏| 118/128 [00:08<00:01,  8.38it/s, est. speed input: 13045.50 toks/s, output: 3094.07 toks/s]
Processed prompts:  93%|█████████▎| 119/128 [00:08<00:01,  8.36it/s, est. speed input: 12975.17 toks/s, output: 3139.24 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:10<00:03,  2.48it/s, est. speed input: 11012.04 toks/s, output: 2727.06 toks/s]INFO 08-10 18:12:47 [metrics.py:417] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 2414.0 tokens/s, Running: 8 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 14.3%, CPU KV cache usage: 0.0%.
INFO 08-10 18:12:47 [metrics.py:433] Prefix cache hit rate: GPU: 86.42%, CPU: 0.00%

Processed prompts:  95%|█████████▍| 121/128 [00:10<00:02,  2.87it/s, est. speed input: 10946.63 toks/s, output: 2790.06 toks/s]
Processed prompts:  97%|█████████▋| 124/128 [00:11<00:01,  2.52it/s, est. speed input: 9868.51 toks/s, output: 2751.98 toks/s] 
Processed prompts:  98%|█████████▊| 125/128 [00:11<00:01,  2.56it/s, est. speed input: 9648.20 toks/s, output: 2777.84 toks/s]
Processed prompts:  98%|█████████▊| 126/128 [00:12<00:00,  3.01it/s, est. speed input: 9600.74 toks/s, output: 2862.96 toks/s]
Processed prompts:  99%|█████████▉| 127/128 [00:13<00:00,  2.06it/s, est. speed input: 8916.82 toks/s, output: 2758.40 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:15<00:00,  1.16it/s, est. speed input: 7778.81 toks/s, output: 2516.38 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:15<00:00,  1.16it/s, est. speed input: 7778.81 toks/s, output: 2516.38 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:15<00:00,  8.53it/s, est. speed input: 7778.81 toks/s, output: 2516.38 toks/s]

Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 9770.35it/s]

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Processed prompts:  20%|██        | 26/128 [00:05<00:17,  5.97it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  92%|█████████▏| 118/128 [00:25<00:02,  3.40it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:25<00:02,  4.00it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  98%|█████████▊| 126/128 [00:26<00:00,  4.67it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  99%|█████████▉| 127/128 [00:27<00:00,  4.76it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:27<00:00,  3.93it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:27<00:00,  3.93it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:27<00:00,  4.66it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
INFO:search.beam_search:----------------------------------------------------------------------------------------------------
INFO:search.beam_search:Iteration 1 completed beams: 0, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 67.66s, length of agg_scores: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2], num_steps: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], stop reasons: ['\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n']

Beam search iterations:  20%|██        | 2/10 [01:08<04:45, 35.73s/it]
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests:  12%|█▎        | 16/128 [00:00<00:00, 157.98it/s]
Adding requests:  27%|██▋       | 35/128 [00:00<00:00, 171.82it/s]
Adding requests:  41%|████▏     | 53/128 [00:00<00:00, 169.40it/s]
Adding requests:  56%|█████▋    | 72/128 [00:00<00:00, 174.41it/s]
Adding requests:  70%|███████   | 90/128 [00:00<00:00, 170.78it/s]
Adding requests:  84%|████████▍ | 108/128 [00:00<00:00, 171.13it/s]
Adding requests:  98%|█████████▊| 126/128 [00:00<00:00, 168.59it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 167.33it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 18:13:21 [metrics.py:417] Avg prompt throughput: 441.4 tokens/s, Avg generation throughput: 64.0 tokens/s, Running: 17 reqs, Swapped: 0 reqs, Pending: 111 reqs, GPU KV cache usage: 21.0%, CPU KV cache usage: 0.0%.
INFO 08-10 18:13:21 [metrics.py:433] Prefix cache hit rate: GPU: 84.55%, CPU: 0.00%

Processed prompts:   1%|          | 1/128 [00:00<01:17,  1.63it/s, est. speed input: 1509.80 toks/s, output: 6.51 toks/s]
Processed prompts:   3%|▎         | 4/128 [00:00<00:18,  6.75it/s, est. speed input: 7218.86 toks/s, output: 34.13 toks/s]
Processed prompts:   7%|▋         | 9/128 [00:00<00:07, 15.42it/s, est. speed input: 13206.05 toks/s, output: 96.31 toks/s]
Processed prompts:   9%|▉         | 12/128 [00:00<00:06, 17.63it/s, est. speed input: 14519.29 toks/s, output: 140.52 toks/s]
Processed prompts:  13%|█▎        | 17/128 [00:01<00:05, 19.73it/s, est. speed input: 17364.25 toks/s, output: 218.37 toks/s]
Processed prompts:  16%|█▌        | 20/128 [00:01<00:06, 17.92it/s, est. speed input: 18498.31 toks/s, output: 268.64 toks/s]
Processed prompts:  18%|█▊        | 23/128 [00:01<00:06, 16.18it/s, est. speed input: 17430.95 toks/s, output: 318.70 toks/s]
Processed prompts:  21%|██        | 27/128 [00:01<00:05, 19.24it/s, est. speed input: 19414.28 toks/s, output: 422.49 toks/s]
Processed prompts:  23%|██▎       | 30/128 [00:01<00:04, 20.50it/s, est. speed input: 20202.92 toks/s, output: 496.88 toks/s]
Processed prompts:  26%|██▌       | 33/128 [00:02<00:04, 19.56it/s, est. speed input: 20662.53 toks/s, output: 563.18 toks/s]
Processed prompts:  28%|██▊       | 36/128 [00:02<00:06, 15.20it/s, est. speed input: 19827.37 toks/s, output: 601.04 toks/s]
Processed prompts:  30%|██▉       | 38/128 [00:02<00:06, 13.77it/s, est. speed input: 19098.18 toks/s, output: 633.49 toks/s]
Processed prompts:  32%|███▏      | 41/128 [00:02<00:05, 16.39it/s, est. speed input: 19885.23 toks/s, output: 728.95 toks/s]
Processed prompts:  35%|███▌      | 45/128 [00:02<00:04, 20.64it/s, est. speed input: 21221.07 toks/s, output: 865.33 toks/s]
Processed prompts:  38%|███▊      | 48/128 [00:02<00:04, 19.02it/s, est. speed input: 21318.02 toks/s, output: 939.25 toks/s]
Processed prompts:  40%|███▉      | 51/128 [00:03<00:03, 20.41it/s, est. speed input: 21840.21 toks/s, output: 1037.25 toks/s]
Processed prompts:  42%|████▏     | 54/128 [00:03<00:04, 18.18it/s, est. speed input: 21870.56 toks/s, output: 1110.14 toks/s]
Processed prompts:  45%|████▍     | 57/128 [00:03<00:04, 16.28it/s, est. speed input: 21766.61 toks/s, output: 1181.84 toks/s]
Processed prompts:  47%|████▋     | 60/128 [00:03<00:04, 14.35it/s, est. speed input: 21186.62 toks/s, output: 1244.84 toks/s]
Processed prompts:  51%|█████     | 65/128 [00:03<00:03, 20.12it/s, est. speed input: 22714.93 toks/s, output: 1471.13 toks/s]
Processed prompts:  54%|█████▍    | 69/128 [00:04<00:02, 22.68it/s, est. speed input: 23478.31 toks/s, output: 1634.50 toks/s]
Processed prompts:  56%|█████▋    | 72/128 [00:04<00:02, 19.27it/s, est. speed input: 23365.45 toks/s, output: 1710.44 toks/s]
Processed prompts:  59%|█████▊    | 75/128 [00:04<00:03, 15.59it/s, est. speed input: 22646.95 toks/s, output: 1767.25 toks/s]
Processed prompts:  62%|██████▏   | 79/128 [00:04<00:02, 18.50it/s, est. speed input: 23232.81 toks/s, output: 1947.06 toks/s]
Processed prompts:  64%|██████▍   | 82/128 [00:04<00:02, 18.43it/s, est. speed input: 23063.62 toks/s, output: 2060.72 toks/s]
Processed prompts:  66%|██████▋   | 85/128 [00:05<00:02, 15.32it/s, est. speed input: 22586.43 toks/s, output: 2129.82 toks/s]INFO 08-10 18:13:26 [metrics.py:417] Avg prompt throughput: 32448.1 tokens/s, Avg generation throughput: 4974.3 tokens/s, Running: 43 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 42.9%, CPU KV cache usage: 0.0%.
INFO 08-10 18:13:26 [metrics.py:433] Prefix cache hit rate: GPU: 90.14%, CPU: 0.00%

Processed prompts:  68%|██████▊   | 87/128 [00:05<00:02, 14.82it/s, est. speed input: 22634.19 toks/s, output: 2194.59 toks/s]
Processed prompts:  70%|██████▉   | 89/128 [00:05<00:02, 15.64it/s, est. speed input: 22596.64 toks/s, output: 2280.63 toks/s]
Processed prompts:  73%|███████▎  | 93/128 [00:05<00:01, 20.58it/s, est. speed input: 23108.72 toks/s, output: 2496.86 toks/s]
Processed prompts:  75%|███████▌  | 96/128 [00:05<00:01, 21.85it/s, est. speed input: 23244.16 toks/s, output: 2643.57 toks/s]
Processed prompts:  77%|███████▋  | 99/128 [00:05<00:01, 15.89it/s, est. speed input: 22595.45 toks/s, output: 2707.54 toks/s]
Processed prompts:  80%|███████▉  | 102/128 [00:06<00:02, 12.39it/s, est. speed input: 22016.17 toks/s, output: 2755.98 toks/s]
Processed prompts:  81%|████████▏ | 104/128 [00:06<00:02,  8.55it/s, est. speed input: 20805.60 toks/s, output: 2703.45 toks/s]
Processed prompts:  83%|████████▎ | 106/128 [00:07<00:02,  7.34it/s, est. speed input: 20204.90 toks/s, output: 2709.32 toks/s]
Processed prompts:  84%|████████▍ | 108/128 [00:07<00:03,  6.32it/s, est. speed input: 19390.92 toks/s, output: 2707.54 toks/s]
Processed prompts:  85%|████████▌ | 109/128 [00:07<00:02,  6.59it/s, est. speed input: 19264.11 toks/s, output: 2748.97 toks/s]
Processed prompts:  86%|████████▌ | 110/128 [00:07<00:02,  6.23it/s, est. speed input: 18989.74 toks/s, output: 2762.78 toks/s]
Processed prompts:  87%|████████▋ | 111/128 [00:08<00:02,  6.61it/s, est. speed input: 18992.63 toks/s, output: 2806.95 toks/s]
Processed prompts:  88%|████████▊ | 112/128 [00:08<00:03,  4.96it/s, est. speed input: 18463.59 toks/s, output: 2768.49 toks/s]
Processed prompts:  88%|████████▊ | 113/128 [00:08<00:02,  5.43it/s, est. speed input: 18344.03 toks/s, output: 2813.21 toks/s]
Processed prompts:  89%|████████▉ | 114/128 [00:08<00:03,  4.11it/s, est. speed input: 17753.78 toks/s, output: 2772.67 toks/s]
Processed prompts:  90%|████████▉ | 115/128 [00:09<00:03,  3.60it/s, est. speed input: 17183.78 toks/s, output: 2754.20 toks/s]
Processed prompts:  91%|█████████▏| 117/128 [00:09<00:02,  4.97it/s, est. speed input: 17042.34 toks/s, output: 2878.29 toks/s]
Processed prompts:  92%|█████████▏| 118/128 [00:09<00:02,  4.84it/s, est. speed input: 16842.67 toks/s, output: 2906.36 toks/s]INFO 08-10 18:13:31 [metrics.py:417] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 2644.4 tokens/s, Running: 10 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 20.4%, CPU KV cache usage: 0.0%.
INFO 08-10 18:13:31 [metrics.py:433] Prefix cache hit rate: GPU: 90.14%, CPU: 0.00%

Processed prompts:  93%|█████████▎| 119/128 [00:10<00:02,  3.35it/s, est. speed input: 16076.16 toks/s, output: 2843.21 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:10<00:02,  3.35it/s, est. speed input: 15736.28 toks/s, output: 2862.32 toks/s]
Processed prompts:  95%|█████████▌| 122/128 [00:12<00:03,  1.92it/s, est. speed input: 13786.43 toks/s, output: 2672.49 toks/s]
Processed prompts:  96%|█████████▌| 123/128 [00:12<00:02,  1.87it/s, est. speed input: 13330.95 toks/s, output: 2658.34 toks/s]
Processed prompts:  98%|█████████▊| 125/128 [00:13<00:01,  2.63it/s, est. speed input: 13233.20 toks/s, output: 2811.45 toks/s]
Processed prompts:  98%|█████████▊| 126/128 [00:13<00:00,  3.10it/s, est. speed input: 13232.25 toks/s, output: 2895.70 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:13<00:00,  4.32it/s, est. speed input: 13203.07 toks/s, output: 3076.57 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:13<00:00,  4.32it/s, est. speed input: 13203.07 toks/s, output: 3076.57 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:13<00:00,  9.53it/s, est. speed input: 13203.07 toks/s, output: 3076.57 toks/s]

Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 8193.13it/s]

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Processed prompts:  93%|█████████▎| 119/128 [00:35<00:02,  3.06it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:35<00:02,  3.15it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  95%|█████████▍| 121/128 [00:36<00:02,  2.94it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  95%|█████████▌| 122/128 [00:36<00:01,  3.31it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  96%|█████████▌| 123/128 [00:36<00:01,  3.33it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  97%|█████████▋| 124/128 [00:36<00:01,  2.99it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  98%|█████████▊| 125/128 [00:37<00:01,  2.79it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  98%|█████████▊| 126/128 [00:37<00:00,  2.82it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  99%|█████████▉| 127/128 [00:38<00:00,  2.68it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:38<00:00,  2.84it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:38<00:00,  2.84it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:38<00:00,  3.33it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
INFO:search.beam_search:----------------------------------------------------------------------------------------------------
INFO:search.beam_search:Iteration 2 completed beams: 0, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 121.02s, length of agg_scores: [2, 3, 3, 2, 1, 2, 2, 3, 1, 3, 3, 1, 2, 3, 3, 1, 2, 3, 2, 1, 3, 3, 3, 1, 3, 3, 1, 2, 3, 3, 3, 1], num_steps: [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], stop reasons: ['\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n']

Beam search iterations:  30%|███       | 3/10 [02:01<05:07, 43.88s/it]
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests:   9%|▊         | 11/128 [00:00<00:01, 105.80it/s]
Adding requests:  18%|█▊        | 23/128 [00:00<00:00, 110.43it/s]
Adding requests:  27%|██▋       | 35/128 [00:00<00:00, 111.34it/s]
Adding requests:  37%|███▋      | 47/128 [00:00<00:00, 109.59it/s]
Adding requests:  46%|████▌     | 59/128 [00:00<00:00, 109.51it/s]
Adding requests:  55%|█████▍    | 70/128 [00:00<00:00, 106.55it/s]
Adding requests:  63%|██████▎   | 81/128 [00:00<00:00, 107.34it/s]
Adding requests:  73%|███████▎  | 94/128 [00:00<00:00, 112.06it/s]
Adding requests:  83%|████████▎ | 106/128 [00:00<00:00, 110.17it/s]
Adding requests:  92%|█████████▏| 118/128 [00:01<00:00, 111.34it/s]
Adding requests: 100%|██████████| 128/128 [00:01<00:00, 110.32it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 18:14:15 [metrics.py:417] Avg prompt throughput: 258.7 tokens/s, Avg generation throughput: 72.8 tokens/s, Running: 14 reqs, Swapped: 0 reqs, Pending: 114 reqs, GPU KV cache usage: 23.5%, CPU KV cache usage: 0.0%.
INFO 08-10 18:14:15 [metrics.py:433] Prefix cache hit rate: GPU: 88.79%, CPU: 0.00%

Processed prompts:   1%|          | 1/128 [00:00<01:16,  1.66it/s, est. speed input: 3828.50 toks/s, output: 3.31 toks/s]
Processed prompts:   2%|▏         | 3/128 [00:00<00:25,  4.85it/s, est. speed input: 10859.32 toks/s, output: 16.26 toks/s]
Processed prompts:   6%|▋         | 8/128 [00:00<00:10, 11.93it/s, est. speed input: 18889.60 toks/s, output: 61.57 toks/s]
Processed prompts:   9%|▊         | 11/128 [00:01<00:07, 15.02it/s, est. speed input: 21593.51 toks/s, output: 107.45 toks/s]
Processed prompts:  12%|█▏        | 15/128 [00:01<00:05, 19.84it/s, est. speed input: 26684.68 toks/s, output: 176.56 toks/s]
Processed prompts:  15%|█▍        | 19/128 [00:01<00:04, 22.62it/s, est. speed input: 31268.29 toks/s, output: 245.52 toks/s]
Processed prompts:  18%|█▊        | 23/128 [00:01<00:04, 23.77it/s, est. speed input: 32935.42 toks/s, output: 315.20 toks/s]
Processed prompts:  20%|██        | 26/128 [00:01<00:04, 23.79it/s, est. speed input: 34451.88 toks/s, output: 366.42 toks/s]
Processed prompts:  23%|██▎       | 29/128 [00:01<00:05, 18.19it/s, est. speed input: 32997.70 toks/s, output: 397.53 toks/s]
Processed prompts:  25%|██▌       | 32/128 [00:02<00:05, 17.48it/s, est. speed input: 32994.93 toks/s, output: 453.95 toks/s]
Processed prompts:  27%|██▋       | 35/128 [00:02<00:04, 19.58it/s, est. speed input: 34346.74 toks/s, output: 530.88 toks/s]
Processed prompts:  31%|███▏      | 40/128 [00:02<00:03, 24.92it/s, est. speed input: 36155.61 toks/s, output: 680.37 toks/s]
Processed prompts:  34%|███▎      | 43/128 [00:02<00:03, 22.85it/s, est. speed input: 37110.27 toks/s, output: 748.07 toks/s]
Processed prompts:  36%|███▌      | 46/128 [00:02<00:03, 20.94it/s, est. speed input: 37470.22 toks/s, output: 817.03 toks/s]
Processed prompts:  38%|███▊      | 49/128 [00:02<00:05, 13.95it/s, est. speed input: 33829.94 toks/s, output: 816.78 toks/s]
Processed prompts:  42%|████▏     | 54/128 [00:03<00:04, 17.44it/s, est. speed input: 35327.62 toks/s, output: 952.56 toks/s]
Processed prompts:  45%|████▍     | 57/128 [00:03<00:05, 13.20it/s, est. speed input: 32510.08 toks/s, output: 969.83 toks/s]
Processed prompts:  48%|████▊     | 61/128 [00:03<00:04, 16.54it/s, est. speed input: 33585.50 toks/s, output: 1111.03 toks/s]
Processed prompts:  50%|█████     | 64/128 [00:03<00:03, 17.30it/s, est. speed input: 34561.79 toks/s, output: 1201.45 toks/s]
Processed prompts:  52%|█████▏    | 67/128 [00:03<00:03, 19.52it/s, est. speed input: 35256.80 toks/s, output: 1306.71 toks/s]
Processed prompts:  55%|█████▍    | 70/128 [00:04<00:02, 19.67it/s, est. speed input: 35111.05 toks/s, output: 1397.65 toks/s]
Processed prompts:  57%|█████▋    | 73/128 [00:04<00:02, 21.44it/s, est. speed input: 35921.23 toks/s, output: 1505.64 toks/s]
Processed prompts:  59%|█████▉    | 76/128 [00:04<00:03, 15.80it/s, est. speed input: 34786.54 toks/s, output: 1545.11 toks/s]
Processed prompts:  61%|██████    | 78/128 [00:04<00:04, 11.77it/s, est. speed input: 33227.55 toks/s, output: 1541.48 toks/s]
Processed prompts:  63%|██████▎   | 81/128 [00:04<00:03, 13.50it/s, est. speed input: 33410.21 toks/s, output: 1655.08 toks/s]
Processed prompts:  65%|██████▍   | 83/128 [00:05<00:03, 14.53it/s, est. speed input: 33585.61 toks/s, output: 1730.66 toks/s]INFO 08-10 18:14:20 [metrics.py:417] Avg prompt throughput: 49025.2 tokens/s, Avg generation throughput: 4356.3 tokens/s, Running: 44 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 42.4%, CPU KV cache usage: 0.0%.
INFO 08-10 18:14:20 [metrics.py:433] Prefix cache hit rate: GPU: 91.98%, CPU: 0.00%

Processed prompts:  66%|██████▋   | 85/128 [00:05<00:02, 14.69it/s, est. speed input: 33680.64 toks/s, output: 1798.08 toks/s]
Processed prompts:  69%|██████▉   | 88/128 [00:05<00:02, 16.16it/s, est. speed input: 33606.09 toks/s, output: 1917.66 toks/s]
Processed prompts:  70%|███████   | 90/128 [00:05<00:03, 12.55it/s, est. speed input: 32655.89 toks/s, output: 1942.93 toks/s]
Processed prompts:  72%|███████▏  | 92/128 [00:05<00:03,  9.90it/s, est. speed input: 31253.27 toks/s, output: 1958.01 toks/s]
Processed prompts:  73%|███████▎  | 94/128 [00:06<00:03, 10.15it/s, est. speed input: 30759.74 toks/s, output: 2025.41 toks/s]
Processed prompts:  75%|███████▌  | 96/128 [00:06<00:02, 10.70it/s, est. speed input: 30761.33 toks/s, output: 2102.36 toks/s]
Processed prompts:  77%|███████▋  | 99/128 [00:06<00:02, 12.40it/s, est. speed input: 30878.62 toks/s, output: 2236.16 toks/s]
Processed prompts:  79%|███████▉  | 101/128 [00:06<00:02, 12.46it/s, est. speed input: 30475.94 toks/s, output: 2316.53 toks/s]
Processed prompts:  81%|████████▏ | 104/128 [00:06<00:01, 14.82it/s, est. speed input: 31052.13 toks/s, output: 2471.34 toks/s]
Processed prompts:  83%|████████▎ | 106/128 [00:07<00:01, 12.11it/s, est. speed input: 30258.33 toks/s, output: 2519.74 toks/s]
Processed prompts:  84%|████████▍ | 108/128 [00:07<00:02,  9.11it/s, est. speed input: 29191.96 toks/s, output: 2533.27 toks/s]
Processed prompts:  86%|████████▌ | 110/128 [00:07<00:02,  8.29it/s, est. speed input: 28586.40 toks/s, output: 2581.78 toks/s]
Processed prompts:  88%|████████▊ | 113/128 [00:08<00:01,  8.20it/s, est. speed input: 28219.43 toks/s, output: 2683.93 toks/s]
Processed prompts:  89%|████████▉ | 114/128 [00:08<00:01,  7.61it/s, est. speed input: 27918.46 toks/s, output: 2702.75 toks/s]
Processed prompts:  91%|█████████ | 116/128 [00:08<00:01,  7.37it/s, est. speed input: 27583.30 toks/s, output: 2768.85 toks/s]
Processed prompts:  91%|█████████▏| 117/128 [00:08<00:01,  6.29it/s, est. speed input: 27074.91 toks/s, output: 2767.48 toks/s]
Processed prompts:  92%|█████████▏| 118/128 [00:09<00:01,  5.39it/s, est. speed input: 26354.08 toks/s, output: 2763.74 toks/s]
Processed prompts:  95%|█████████▌| 122/128 [00:09<00:00,  7.63it/s, est. speed input: 26190.28 toks/s, output: 3000.44 toks/s]
Processed prompts:  96%|█████████▌| 123/128 [00:09<00:00,  7.88it/s, est. speed input: 26057.58 toks/s, output: 3055.31 toks/s]INFO 08-10 18:14:25 [metrics.py:417] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 2399.1 tokens/s, Running: 5 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 13.0%, CPU KV cache usage: 0.0%.
INFO 08-10 18:14:25 [metrics.py:433] Prefix cache hit rate: GPU: 91.98%, CPU: 0.00%

Processed prompts:  97%|█████████▋| 124/128 [00:10<00:00,  4.18it/s, est. speed input: 24334.28 toks/s, output: 2930.60 toks/s]
Processed prompts:  98%|█████████▊| 125/128 [00:11<00:01,  1.90it/s, est. speed input: 21191.78 toks/s, output: 2637.14 toks/s]
Processed prompts:  99%|█████████▉| 127/128 [00:12<00:00,  2.71it/s, est. speed input: 21134.56 toks/s, output: 2792.33 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:14<00:00,  1.11it/s, est. speed input: 17156.19 toks/s, output: 2375.23 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:14<00:00,  1.11it/s, est. speed input: 17156.19 toks/s, output: 2375.23 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:14<00:00,  8.56it/s, est. speed input: 17156.19 toks/s, output: 2375.23 toks/s]

Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 6709.29it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   1%|          | 1/128 [00:00<00:53,  2.38it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 2/128 [00:00<00:49,  2.55it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 3/128 [00:01<00:50,  2.48it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   3%|▎         | 4/128 [00:01<00:43,  2.85it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   4%|▍         | 5/128 [00:01<00:43,  2.82it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▌         | 7/128 [00:02<00:30,  3.97it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   6%|▋         | 8/128 [00:02<00:35,  3.39it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   7%|▋         | 9/128 [00:02<00:39,  3.05it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   8%|▊         | 10/128 [00:03<00:41,  2.84it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▊         | 11/128 [00:03<00:43,  2.70it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▉         | 12/128 [00:04<00:40,  2.89it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  10%|█         | 13/128 [00:04<00:36,  3.12it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  11%|█         | 14/128 [00:04<00:39,  2.87it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  12%|█▏        | 15/128 [00:05<00:40,  2.78it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  13%|█▎        | 17/128 [00:05<00:32,  3.45it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  14%|█▍        | 18/128 [00:05<00:35,  3.12it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  15%|█▍        | 19/128 [00:06<00:32,  3.32it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  16%|█▌        | 20/128 [00:06<00:35,  3.01it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  16%|█▋        | 21/128 [00:07<00:37,  2.82it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  18%|█▊        | 23/128 [00:07<00:40,  2.60it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  19%|█▉        | 24/128 [00:08<00:40,  2.60it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  20%|██        | 26/128 [00:09<00:40,  2.50it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  21%|██        | 27/128 [00:09<00:36,  2.77it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  29%|██▉       | 37/128 [00:12<00:32,  2.79it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  35%|███▌      | 45/128 [00:15<00:26,  3.10it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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INFO:search.beam_search:----------------------------------------------------------------------------------------------------
INFO:search.beam_search:Iteration 3 completed beams: 1, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 183.96s, length of agg_scores: [2, 2, 3, 3, 2, 4, 3, 3, 2, 2, 4, 2, 4, 3, 2, 3, 2, 2, 3, 2, 4, 4, 2, 4, 2, 2, 3, 4, 2, 3, 4, 4], num_steps: [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], stop reasons: ['\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n']

Beam search iterations:  40%|████      | 4/10 [03:04<05:08, 51.49s/it]
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests:   8%|▊         | 10/128 [00:00<00:01, 92.08it/s]
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Adding requests:  25%|██▌       | 32/128 [00:00<00:00, 104.62it/s]
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Adding requests:  51%|█████     | 65/128 [00:00<00:00, 100.08it/s]
Adding requests:  59%|█████▉    | 76/128 [00:00<00:00, 97.69it/s] 
Adding requests:  68%|██████▊   | 87/128 [00:00<00:00, 99.22it/s]
Adding requests:  77%|███████▋  | 99/128 [00:00<00:00, 103.17it/s]
Adding requests:  90%|████████▉ | 115/128 [00:01<00:00, 117.43it/s]
Adding requests: 100%|██████████| 128/128 [00:01<00:00, 109.51it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 18:15:19 [metrics.py:417] Avg prompt throughput: 249.8 tokens/s, Avg generation throughput: 32.5 tokens/s, Running: 15 reqs, Swapped: 0 reqs, Pending: 113 reqs, GPU KV cache usage: 23.8%, CPU KV cache usage: 0.0%.
INFO 08-10 18:15:19 [metrics.py:433] Prefix cache hit rate: GPU: 91.31%, CPU: 0.00%

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Processed prompts:  52%|█████▏    | 66/128 [00:03<00:03, 16.63it/s, est. speed input: 39006.20 toks/s, output: 1614.56 toks/s]
Processed prompts:  55%|█████▍    | 70/128 [00:04<00:03, 18.93it/s, est. speed input: 39504.67 toks/s, output: 1778.87 toks/s]
Processed prompts:  57%|█████▋    | 73/128 [00:04<00:03, 16.87it/s, est. speed input: 38812.56 toks/s, output: 1850.02 toks/s]
Processed prompts:  60%|██████    | 77/128 [00:04<00:02, 20.20it/s, est. speed input: 40048.35 toks/s, output: 2034.03 toks/s]
Processed prompts:  64%|██████▍   | 82/128 [00:04<00:02, 21.94it/s, est. speed input: 40680.71 toks/s, output: 2239.20 toks/s]
Processed prompts:  68%|██████▊   | 87/128 [00:04<00:01, 26.04it/s, est. speed input: 42344.73 toks/s, output: 2482.74 toks/s]
Processed prompts:  71%|███████   | 91/128 [00:04<00:01, 26.40it/s, est. speed input: 42862.25 toks/s, output: 2654.00 toks/s]INFO 08-10 18:15:24 [metrics.py:417] Avg prompt throughput: 54800.1 tokens/s, Avg generation throughput: 5025.8 tokens/s, Running: 33 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 36.8%, CPU KV cache usage: 0.0%.
INFO 08-10 18:15:24 [metrics.py:433] Prefix cache hit rate: GPU: 93.25%, CPU: 0.00%

Processed prompts:  73%|███████▎  | 94/128 [00:05<00:01, 19.15it/s, est. speed input: 41660.94 toks/s, output: 2687.80 toks/s]
Processed prompts:  76%|███████▌  | 97/128 [00:05<00:01, 16.57it/s, est. speed input: 41006.29 toks/s, output: 2752.56 toks/s]
Processed prompts:  77%|███████▋  | 99/128 [00:05<00:01, 15.41it/s, est. speed input: 40580.29 toks/s, output: 2806.41 toks/s]
Processed prompts:  79%|███████▉  | 101/128 [00:05<00:01, 14.80it/s, est. speed input: 40239.14 toks/s, output: 2868.63 toks/s]
Processed prompts:  80%|████████  | 103/128 [00:06<00:02,  9.88it/s, est. speed input: 38298.77 toks/s, output: 2815.89 toks/s]
Processed prompts:  82%|████████▏ | 105/128 [00:06<00:02,  9.74it/s, est. speed input: 37572.10 toks/s, output: 2869.62 toks/s]
Processed prompts:  84%|████████▎ | 107/128 [00:06<00:01, 11.20it/s, est. speed input: 37545.98 toks/s, output: 2973.12 toks/s]
Processed prompts:  85%|████████▌ | 109/128 [00:06<00:01, 11.32it/s, est. speed input: 37358.02 toks/s, output: 3048.34 toks/s]
Processed prompts:  87%|████████▋ | 111/128 [00:06<00:01, 11.97it/s, est. speed input: 37127.45 toks/s, output: 3138.05 toks/s]
Processed prompts:  88%|████████▊ | 113/128 [00:07<00:01,  8.59it/s, est. speed input: 35615.38 toks/s, output: 3125.24 toks/s]
Processed prompts:  90%|████████▉ | 115/128 [00:07<00:01,  6.94it/s, est. speed input: 34200.16 toks/s, output: 3114.35 toks/s]
Processed prompts:  93%|█████████▎| 119/128 [00:08<00:01,  7.70it/s, est. speed input: 33441.53 toks/s, output: 3272.43 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:08<00:01,  7.64it/s, est. speed input: 33169.02 toks/s, output: 3306.37 toks/s]
Processed prompts:  95%|█████████▍| 121/128 [00:08<00:01,  6.69it/s, est. speed input: 32501.56 toks/s, output: 3301.89 toks/s]
Processed prompts:  95%|█████████▌| 122/128 [00:08<00:00,  6.42it/s, est. speed input: 31974.93 toks/s, output: 3323.70 toks/s]
Processed prompts:  96%|█████████▌| 123/128 [00:09<00:01,  3.36it/s, est. speed input: 29496.09 toks/s, output: 3133.22 toks/s]INFO 08-10 18:15:29 [metrics.py:417] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 1890.1 tokens/s, Running: 5 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 15.7%, CPU KV cache usage: 0.0%.
INFO 08-10 18:15:29 [metrics.py:433] Prefix cache hit rate: GPU: 93.25%, CPU: 0.00%

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Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 6372.88it/s]

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Processed prompts:  98%|█████████▊| 125/128 [00:49<00:01,  2.51it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  98%|█████████▊| 126/128 [00:49<00:00,  2.47it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  99%|█████████▉| 127/128 [00:49<00:00,  2.46it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:50<00:00,  2.51it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:50<00:00,  2.51it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:50<00:00,  2.55it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
INFO:search.beam_search:----------------------------------------------------------------------------------------------------
INFO:search.beam_search:Iteration 4 completed beams: 2, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 249.67s, length of agg_scores: [3, 3, 3, 4, 3, 3, 3, 4, 2, 2, 2, 3, 2, 2, 2, 3, 2, 5, 3, 2, 2, 2, 3, 2, 2, 3, 2, 4, 5, 2, 3, 4], num_steps: [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5], stop reasons: ['\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n']

Beam search iterations:  50%|█████     | 5/10 [04:10<04:43, 56.70s/it]
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests:   7%|▋         | 9/128 [00:00<00:01, 82.98it/s]
Adding requests:  14%|█▍        | 18/128 [00:00<00:01, 76.86it/s]
Adding requests:  20%|██        | 26/128 [00:00<00:01, 74.16it/s]
Adding requests:  27%|██▋       | 34/128 [00:00<00:01, 73.36it/s]
Adding requests:  33%|███▎      | 42/128 [00:00<00:01, 75.35it/s]
Adding requests:  39%|███▉      | 50/128 [00:00<00:01, 74.94it/s]
Adding requests:  45%|████▌     | 58/128 [00:00<00:00, 73.44it/s]
Adding requests:  52%|█████▏    | 66/128 [00:00<00:00, 74.06it/s]
Adding requests:  58%|█████▊    | 74/128 [00:00<00:00, 75.79it/s]
Adding requests:  64%|██████▍   | 82/128 [00:01<00:00, 75.22it/s]
Adding requests:  70%|███████   | 90/128 [00:01<00:00, 73.76it/s]
Adding requests:  77%|███████▋  | 98/128 [00:01<00:00, 74.11it/s]
Adding requests:  85%|████████▌ | 109/128 [00:01<00:00, 83.17it/s]
Adding requests:  95%|█████████▌| 122/128 [00:01<00:00, 95.54it/s]
Adding requests: 100%|██████████| 128/128 [00:01<00:00, 81.67it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 18:16:25 [metrics.py:417] Avg prompt throughput: 566.1 tokens/s, Avg generation throughput: 19.2 tokens/s, Running: 21 reqs, Swapped: 0 reqs, Pending: 107 reqs, GPU KV cache usage: 22.9%, CPU KV cache usage: 0.0%.
INFO 08-10 18:16:25 [metrics.py:433] Prefix cache hit rate: GPU: 92.91%, CPU: 0.00%

Processed prompts:   1%|          | 1/128 [00:00<01:58,  1.07it/s, est. speed input: 2615.83 toks/s, output: 3.22 toks/s]
Processed prompts:   4%|▍         | 5/128 [00:01<00:20,  5.91it/s, est. speed input: 11246.97 toks/s, output: 24.19 toks/s]
Processed prompts:   5%|▌         | 7/128 [00:01<00:15,  8.04it/s, est. speed input: 14556.41 toks/s, output: 45.90 toks/s]
Processed prompts:   9%|▉         | 12/128 [00:01<00:07, 15.00it/s, est. speed input: 23679.31 toks/s, output: 108.03 toks/s]
Processed prompts:  12%|█▎        | 16/128 [00:01<00:05, 19.33it/s, est. speed input: 28753.28 toks/s, output: 167.16 toks/s]
Processed prompts:  16%|█▌        | 20/128 [00:01<00:06, 16.49it/s, est. speed input: 30790.93 toks/s, output: 231.18 toks/s]
Processed prompts:  19%|█▉        | 24/128 [00:01<00:06, 16.53it/s, est. speed input: 32516.32 toks/s, output: 299.75 toks/s]
Processed prompts:  22%|██▏       | 28/128 [00:02<00:04, 20.08it/s, est. speed input: 36221.90 toks/s, output: 399.14 toks/s]
Processed prompts:  24%|██▍       | 31/128 [00:02<00:05, 17.37it/s, est. speed input: 36542.19 toks/s, output: 453.52 toks/s]
Processed prompts:  27%|██▋       | 35/128 [00:02<00:04, 20.11it/s, est. speed input: 38972.65 toks/s, output: 557.24 toks/s]
Processed prompts:  30%|██▉       | 38/128 [00:02<00:04, 18.09it/s, est. speed input: 38792.97 toks/s, output: 617.98 toks/s]
Processed prompts:  33%|███▎      | 42/128 [00:02<00:04, 18.55it/s, est. speed input: 40043.53 toks/s, output: 712.90 toks/s]
Processed prompts:  36%|███▌      | 46/128 [00:02<00:03, 22.10it/s, est. speed input: 42333.84 toks/s, output: 837.78 toks/s]
Processed prompts:  41%|████      | 52/128 [00:03<00:03, 23.81it/s, est. speed input: 44585.78 toks/s, output: 1008.01 toks/s]
Processed prompts:  44%|████▍     | 56/128 [00:03<00:02, 25.43it/s, est. speed input: 46048.46 toks/s, output: 1132.61 toks/s]
Processed prompts:  46%|████▌     | 59/128 [00:03<00:02, 25.73it/s, est. speed input: 46794.60 toks/s, output: 1222.61 toks/s]
Processed prompts:  48%|████▊     | 62/128 [00:03<00:03, 20.25it/s, est. speed input: 45900.02 toks/s, output: 1271.79 toks/s]
Processed prompts:  51%|█████     | 65/128 [00:03<00:03, 17.43it/s, est. speed input: 45607.52 toks/s, output: 1333.03 toks/s]
Processed prompts:  54%|█████▍    | 69/128 [00:04<00:02, 21.35it/s, est. speed input: 47559.20 toks/s, output: 1486.74 toks/s]
Processed prompts:  56%|█████▋    | 72/128 [00:04<00:03, 16.46it/s, est. speed input: 46223.33 toks/s, output: 1529.08 toks/s]
Processed prompts:  59%|█████▊    | 75/128 [00:04<00:04, 13.20it/s, est. speed input: 44443.59 toks/s, output: 1566.39 toks/s]
Processed prompts:  60%|██████    | 77/128 [00:04<00:03, 13.57it/s, est. speed input: 44495.27 toks/s, output: 1629.32 toks/s]
Processed prompts:  62%|██████▎   | 80/128 [00:04<00:03, 15.86it/s, est. speed input: 45062.08 toks/s, output: 1748.11 toks/s]
Processed prompts:  65%|██████▍   | 83/128 [00:05<00:02, 18.15it/s, est. speed input: 45685.03 toks/s, output: 1872.88 toks/s]INFO 08-10 18:16:30 [metrics.py:417] Avg prompt throughput: 63597.9 tokens/s, Avg generation throughput: 4441.7 tokens/s, Running: 43 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 39.0%, CPU KV cache usage: 0.0%.
INFO 08-10 18:16:30 [metrics.py:433] Prefix cache hit rate: GPU: 94.29%, CPU: 0.00%

Processed prompts:  67%|██████▋   | 86/128 [00:05<00:02, 19.01it/s, est. speed input: 46157.72 toks/s, output: 1987.62 toks/s]
Processed prompts:  71%|███████   | 91/128 [00:05<00:01, 20.12it/s, est. speed input: 46767.74 toks/s, output: 2177.50 toks/s]
Processed prompts:  73%|███████▎  | 94/128 [00:05<00:01, 18.61it/s, est. speed input: 46465.50 toks/s, output: 2274.38 toks/s]
Processed prompts:  75%|███████▌  | 96/128 [00:05<00:01, 18.37it/s, est. speed input: 46421.76 toks/s, output: 2348.19 toks/s]
Processed prompts:  77%|███████▋  | 99/128 [00:05<00:01, 20.43it/s, est. speed input: 46890.01 toks/s, output: 2485.58 toks/s]
Processed prompts:  80%|███████▉  | 102/128 [00:06<00:01, 16.43it/s, est. speed input: 46283.78 toks/s, output: 2564.48 toks/s]
Processed prompts:  81%|████████▏ | 104/128 [00:06<00:01, 14.62it/s, est. speed input: 45767.67 toks/s, output: 2616.58 toks/s]
Processed prompts:  83%|████████▎ | 106/128 [00:06<00:01, 12.73it/s, est. speed input: 45112.73 toks/s, output: 2657.96 toks/s]
Processed prompts:  84%|████████▍ | 108/128 [00:06<00:01, 10.94it/s, est. speed input: 44220.86 toks/s, output: 2690.72 toks/s]
Processed prompts:  86%|████████▌ | 110/128 [00:06<00:01, 11.36it/s, est. speed input: 43984.38 toks/s, output: 2767.76 toks/s]
Processed prompts:  88%|████████▊ | 112/128 [00:07<00:01, 12.40it/s, est. speed input: 44003.79 toks/s, output: 2860.00 toks/s]
Processed prompts:  89%|████████▉ | 114/128 [00:07<00:01,  9.00it/s, est. speed input: 42541.37 toks/s, output: 2861.27 toks/s]
Processed prompts:  91%|█████████ | 116/128 [00:07<00:01, 10.57it/s, est. speed input: 42599.34 toks/s, output: 2970.29 toks/s]
Processed prompts:  92%|█████████▏| 118/128 [00:08<00:01,  7.09it/s, est. speed input: 40577.17 toks/s, output: 2935.52 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:08<00:01,  7.82it/s, est. speed input: 40105.54 toks/s, output: 3027.79 toks/s]
Processed prompts:  95%|█████████▌| 122/128 [00:08<00:00,  7.16it/s, est. speed input: 39226.49 toks/s, output: 3073.08 toks/s]
Processed prompts:  97%|█████████▋| 124/128 [00:08<00:00,  8.84it/s, est. speed input: 39243.50 toks/s, output: 3205.30 toks/s]
Processed prompts:  98%|█████████▊| 126/128 [00:09<00:00,  5.41it/s, est. speed input: 36828.85 toks/s, output: 3136.20 toks/s]INFO 08-10 18:16:35 [metrics.py:417] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 1813.2 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 8.6%, CPU KV cache usage: 0.0%.
INFO 08-10 18:16:35 [metrics.py:433] Prefix cache hit rate: GPU: 94.29%, CPU: 0.00%

Processed prompts:  99%|█████████▉| 127/128 [00:10<00:00,  2.79it/s, est. speed input: 33016.80 toks/s, output: 2886.97 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:11<00:00,  2.36it/s, est. speed input: 31220.19 toks/s, output: 2815.78 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:11<00:00,  2.36it/s, est. speed input: 31220.19 toks/s, output: 2815.78 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:11<00:00, 11.41it/s, est. speed input: 31220.19 toks/s, output: 2815.78 toks/s]

Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 5524.50it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   1%|          | 1/128 [00:00<00:54,  2.34it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 2/128 [00:00<00:52,  2.39it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 3/128 [00:01<00:52,  2.40it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   3%|▎         | 4/128 [00:01<00:51,  2.40it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   4%|▍         | 5/128 [00:02<00:51,  2.40it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▍         | 6/128 [00:02<00:50,  2.40it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▌         | 7/128 [00:02<00:50,  2.40it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   6%|▋         | 8/128 [00:03<00:49,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   7%|▋         | 9/128 [00:03<00:49,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   8%|▊         | 10/128 [00:04<00:48,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▊         | 11/128 [00:04<00:48,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▉         | 12/128 [00:04<00:48,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  10%|█         | 13/128 [00:05<00:47,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  12%|█▏        | 15/128 [00:06<00:46,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  13%|█▎        | 17/128 [00:07<00:46,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  14%|█▍        | 18/128 [00:07<00:43,  2.51it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  15%|█▍        | 19/128 [00:07<00:43,  2.48it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  17%|█▋        | 22/128 [00:08<00:40,  2.61it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  18%|█▊        | 23/128 [00:09<00:41,  2.55it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  20%|██        | 26/128 [00:10<00:41,  2.46it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  21%|██        | 27/128 [00:11<00:41,  2.44it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  22%|██▏       | 28/128 [00:11<00:41,  2.43it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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INFO:search.beam_search:----------------------------------------------------------------------------------------------------
INFO:search.beam_search:Iteration 5 completed beams: 6, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 316.44s, length of agg_scores: [3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4], num_steps: [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6], stop reasons: ['\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n']

Beam search iterations:  60%|██████    | 6/10 [05:17<04:00, 60.20s/it]
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests:   6%|▋         | 8/128 [00:00<00:01, 74.72it/s]
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Adding requests:  26%|██▌       | 33/128 [00:00<00:01, 77.83it/s]
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Adding requests:  45%|████▌     | 58/128 [00:00<00:00, 78.29it/s]
Adding requests:  52%|█████▏    | 66/128 [00:00<00:00, 76.10it/s]
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Adding requests:  66%|██████▌   | 84/128 [00:01<00:00, 79.53it/s]
Adding requests:  72%|███████▏  | 92/128 [00:01<00:00, 79.05it/s]
Adding requests:  78%|███████▊  | 100/128 [00:01<00:00, 76.57it/s]
Adding requests:  85%|████████▌ | 109/128 [00:01<00:00, 78.64it/s]
Adding requests:  92%|█████████▏| 118/128 [00:01<00:00, 79.09it/s]
Adding requests:  98%|█████████▊| 126/128 [00:01<00:00, 78.06it/s]
Adding requests: 100%|██████████| 128/128 [00:01<00:00, 77.50it/s]

Processed prompts:   0%|          | 0/128 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 18:17:32 [metrics.py:417] Avg prompt throughput: 1020.4 tokens/s, Avg generation throughput: 5.0 tokens/s, Running: 31 reqs, Swapped: 0 reqs, Pending: 97 reqs, GPU KV cache usage: 20.4%, CPU KV cache usage: 0.0%.
INFO 08-10 18:17:32 [metrics.py:433] Prefix cache hit rate: GPU: 94.10%, CPU: 0.00%

Processed prompts:   1%|          | 1/128 [00:00<01:21,  1.56it/s, est. speed input: 5412.50 toks/s, output: 3.12 toks/s]
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Processed prompts:   3%|▎         | 4/128 [00:01<00:24,  4.97it/s, est. speed input: 10935.23 toks/s, output: 46.05 toks/s]
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Processed prompts:  11%|█         | 14/128 [00:01<00:06, 17.60it/s, est. speed input: 29188.10 toks/s, output: 209.05 toks/s]
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Processed prompts:  48%|████▊     | 62/128 [00:04<00:04, 15.85it/s, est. speed input: 41943.65 toks/s, output: 1342.51 toks/s]
Processed prompts:  50%|█████     | 64/128 [00:04<00:04, 14.39it/s, est. speed input: 41329.54 toks/s, output: 1389.28 toks/s]
Processed prompts:  52%|█████▏    | 67/128 [00:04<00:03, 16.75it/s, est. speed input: 42164.18 toks/s, output: 1506.74 toks/s]
Processed prompts:  54%|█████▍    | 69/128 [00:04<00:03, 17.36it/s, est. speed input: 42385.89 toks/s, output: 1577.81 toks/s]
Processed prompts:  55%|█████▌    | 71/128 [00:04<00:03, 14.70it/s, est. speed input: 41971.59 toks/s, output: 1617.89 toks/s]
Processed prompts:  58%|█████▊    | 74/128 [00:05<00:03, 15.38it/s, est. speed input: 42217.49 toks/s, output: 1720.96 toks/s]INFO 08-10 18:17:37 [metrics.py:417] Avg prompt throughput: 61594.2 tokens/s, Avg generation throughput: 4808.6 tokens/s, Running: 52 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 36.7%, CPU KV cache usage: 0.0%.
INFO 08-10 18:17:37 [metrics.py:433] Prefix cache hit rate: GPU: 95.12%, CPU: 0.00%

Processed prompts:  62%|██████▏   | 79/128 [00:05<00:03, 13.52it/s, est. speed input: 41591.31 toks/s, output: 1849.18 toks/s]
Processed prompts:  64%|██████▍   | 82/128 [00:05<00:03, 13.21it/s, est. speed input: 41184.20 toks/s, output: 1939.64 toks/s]
Processed prompts:  66%|██████▌   | 84/128 [00:06<00:04, 10.53it/s, est. speed input: 39800.65 toks/s, output: 1951.63 toks/s]
Processed prompts:  68%|██████▊   | 87/128 [00:06<00:03, 11.18it/s, est. speed input: 39798.26 toks/s, output: 2057.62 toks/s]
Processed prompts:  70%|██████▉   | 89/128 [00:06<00:03, 12.21it/s, est. speed input: 39951.10 toks/s, output: 2144.71 toks/s]
Processed prompts:  73%|███████▎  | 93/128 [00:06<00:02, 16.57it/s, est. speed input: 40875.31 toks/s, output: 2354.15 toks/s]
Processed prompts:  75%|███████▌  | 96/128 [00:06<00:01, 18.21it/s, est. speed input: 41203.39 toks/s, output: 2497.14 toks/s]
Processed prompts:  77%|███████▋  | 99/128 [00:06<00:01, 20.22it/s, est. speed input: 41820.90 toks/s, output: 2646.21 toks/s]
Processed prompts:  80%|███████▉  | 102/128 [00:07<00:01, 19.14it/s, est. speed input: 42016.14 toks/s, output: 2771.36 toks/s]
Processed prompts:  82%|████████▏ | 105/128 [00:07<00:01, 16.94it/s, est. speed input: 42057.84 toks/s, output: 2879.44 toks/s]
Processed prompts:  84%|████████▎ | 107/128 [00:07<00:01, 16.58it/s, est. speed input: 42135.90 toks/s, output: 2963.24 toks/s]
Processed prompts:  85%|████████▌ | 109/128 [00:07<00:01, 16.63it/s, est. speed input: 42200.41 toks/s, output: 3051.94 toks/s]
Processed prompts:  87%|████████▋ | 111/128 [00:08<00:02,  8.47it/s, est. speed input: 39877.42 toks/s, output: 2971.79 toks/s]
Processed prompts:  88%|████████▊ | 113/128 [00:08<00:02,  6.94it/s, est. speed input: 38468.18 toks/s, output: 2968.37 toks/s]
Processed prompts:  90%|████████▉ | 115/128 [00:08<00:01,  7.57it/s, est. speed input: 38187.60 toks/s, output: 3053.24 toks/s]
Processed prompts:  92%|█████████▏| 118/128 [00:08<00:01,  9.95it/s, est. speed input: 38456.42 toks/s, output: 3236.72 toks/s]
Processed prompts:  94%|█████████▍| 120/128 [00:08<00:00, 11.45it/s, est. speed input: 38631.20 toks/s, output: 3357.81 toks/s]
Processed prompts:  95%|█████████▌| 122/128 [00:09<00:00,  8.44it/s, est. speed input: 37523.79 toks/s, output: 3371.49 toks/s]
Processed prompts:  97%|█████████▋| 124/128 [00:09<00:00,  6.12it/s, est. speed input: 35934.87 toks/s, output: 3350.36 toks/s]
Processed prompts:  98%|█████████▊| 125/128 [00:10<00:00,  5.50it/s, est. speed input: 35239.62 toks/s, output: 3348.45 toks/s]INFO 08-10 18:17:42 [metrics.py:417] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 2530.2 tokens/s, Running: 3 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 6.9%, CPU KV cache usage: 0.0%.
INFO 08-10 18:17:42 [metrics.py:433] Prefix cache hit rate: GPU: 95.12%, CPU: 0.00%

Processed prompts:  98%|█████████▊| 126/128 [00:10<00:00,  3.39it/s, est. speed input: 33009.10 toks/s, output: 3205.66 toks/s]
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Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 7431.56it/s]

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Processed prompts:  98%|█████████▊| 126/128 [00:52<00:00,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  99%|█████████▉| 127/128 [00:52<00:00,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:53<00:00,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:53<00:00,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:53<00:00,  2.41it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
INFO:search.beam_search:----------------------------------------------------------------------------------------------------
INFO:search.beam_search:Iteration 6 completed beams: 8, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 383.62s, length of agg_scores: [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], num_steps: [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], stop reasons: ['\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n']

Beam search iterations:  70%|███████   | 7/10 [06:25<03:07, 62.57s/it]
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests:   6%|▋         | 8/128 [00:00<00:01, 69.96it/s]
Adding requests:  12%|█▎        | 16/128 [00:00<00:01, 74.07it/s]
Adding requests:  15%|█▍        | 19/128 [00:00<00:01, 68.58it/s]

Beam search iterations:  70%|███████   | 7/10 [06:25<02:45, 55.08s/it]
INFO:__main__:Cleaning up...
[rank0]:[W810 18:18:39.730649823 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
INFO:models.vllm_wrapper:Generator model shutdown complete
INFO:models.vllm_wrapper:Verifier model shutdown complete
INFO:fasttts:FastTTS shutdown complete
Traceback (most recent call last):
  File "/home/cy/hmarkc/FastTTS/run_aime_fasttts.py", line 232, in <module>
    main() 
    ^^^^^^
  File "/home/cy/hmarkc/FastTTS/run_aime_fasttts.py", line 222, in main
    results = run_aime_fasttts(args)
              ^^^^^^^^^^^^^^^^^^^^^^
  File "/home/cy/hmarkc/FastTTS/run_aime_fasttts.py", line 173, in run_aime_fasttts
    results = fasttts.search([problem], search_config=search_config)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/cy/hmarkc/FastTTS/fasttts.py", line 107, in search
    return self._process_batch(problems, search_config)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/cy/hmarkc/FastTTS/fasttts.py", line 75, in _process_batch
    return beam_search(examples, search_config, self.generator, self.verifier)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/cy/hmarkc/FastTTS/search/beam_search.py", line 501, in beam_search
    completed_beams, total_generator_latency_s, total_verifier_latency_s, n_generator_latency_s, n_verifier_latency_s, total_num_tokens, n_completion_tokens, extended_tokens_list = _beam_search(problems, search_config, generator, verifier)
                                                                                                                                                                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/cy/hmarkc/FastTTS/search/beam_search.py", line 349, in _beam_search
    gen_results, gen_time = generate_beam(
                            ^^^^^^^^^^^^^^
  File "/home/cy/hmarkc/FastTTS/search/beam_search.py", line 121, in generate_beam
    llm_outputs = generator.generate(gen_prompts, sampling_params=current_sampling_params, priority=prefix_priorities)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/cy/hmarkc/FastTTS/models/vllm_wrapper.py", line 289, in generate
    raise RuntimeError(f"Failed to generate: {result['error']}")
RuntimeError: Failed to generate: The decoder prompt (length 4121) is longer than the maximum model length of 4096. Make sure that `max_model_len` is no smaller than the number of text tokens.
GPU 3: General Metrics for NVIDIA AD10x (any frequency)
Generating '/tmp/nsys-report-d5d5.qdstrm'

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[3/8] Executing 'nvtx_sum' stats report

 Time (%)  Total Time (ns)  Instances      Avg (ns)           Med (ns)          Min (ns)         Max (ns)        StdDev (ns)      Style                 Range               
 --------  ---------------  ---------  -----------------  -----------------  ---------------  ---------------  ----------------  -------  ----------------------------------
     50.4  393,853,695,354          1  393,853,695,354.0  393,853,695,354.0  393,853,695,354  393,853,695,354               0.0  PushPop  :Total                            
     35.8  279,622,144,381          7   39,946,020,625.9   45,828,385,121.0   11,745,200,369   53,173,117,619  15,447,291,549.1  PushPop  :encode                           
     13.7  107,321,220,075          8   13,415,152,509.4   13,699,450,799.5    8,606,313,131   16,197,341,448   2,353,657,800.2  PushPop  :generate                         
      0.0           50,608          1           50,608.0           50,608.0           50,608           50,608               0.0  PushPop  CCCL:cub::DeviceSegmentedRadixSort

[4/8] Executing 'osrt_sum' stats report

 Time (%)   Total Time (ns)   Num Calls      Avg (ns)          Med (ns)      Min (ns)      Max (ns)        StdDev (ns)             Name         
 --------  -----------------  ---------  ----------------  ----------------  ---------  ---------------  ---------------  ----------------------
     29.0  4,107,957,333,358    238,517      17,222,912.1      10,061,224.0      1,000  391,167,152,042    872,427,793.8  epoll_wait            
     25.0  3,547,920,544,846     29,625     119,761,031.0     100,063,686.0      1,012    1,000,142,487    122,948,044.4  pthread_cond_timedwait
     15.6  2,207,991,379,444        233   9,476,357,851.7  10,000,075,945.0     17,770   10,000,137,880  2,178,640,805.2  sem_timedwait         
     11.6  1,644,165,870,679        108  15,223,758,061.8  13,321,191,303.0      9,317   50,085,818,176  7,164,644,071.4  pthread_cond_wait     
     10.2  1,447,295,467,592     44,957      32,192,883.6           3,377.0      1,000  373,076,199,364  2,027,875,088.0  read                  
      6.6    942,233,911,978     10,134      92,977,492.8     100,114,125.0      1,000   17,768,547,837    478,817,554.3  poll                  
      2.0    279,272,511,042        749     372,860,495.4     413,610,654.0     18,760      451,398,921     85,966,967.2  sem_wait              
      0.0      2,652,802,802      5,038         526,558.7           3,349.5      1,002      116,838,296      6,549,869.1  ioctl                 
      0.0      1,126,710,062        682       1,652,067.5           1,040.0      1,000    1,070,734,083     41,026,003.0  waitpid               
      0.0        386,640,419    148,864           2,597.3           1,427.0      1,015       99,489,865        257,890.3  munmap                
      0.0        307,226,614        522         588,556.7           2,081.0      1,037       20,005,618      3,204,254.5  fopen                 
      0.0        202,534,023         40       5,063,350.6       5,063,053.0  5,054,017        5,073,909          5,967.5  nanosleep             
      0.0        154,008,949     46,557           3,308.0           2,602.0      1,000       15,029,894         69,665.7  open64                
      0.0        131,449,169        150         876,327.8           3,599.0      1,056       22,776,981      3,972,654.1  open                  
      0.0         94,621,674         88       1,075,246.3         695,819.0      3,494        5,783,134      1,252,692.1  pthread_rwlock_wrlock 
      0.0         88,975,648      5,494          16,195.1           4,706.0      1,000        3,228,393        103,824.5  write                 
      0.0         78,944,702      1,215          64,975.1          12,599.0      1,176        2,800,486        108,421.8  recv                  
      0.0         67,032,431          3      22,344,143.7       1,039,256.0    858,936       65,134,239     37,057,419.3  fork                  
      0.0         56,511,786        374         151,101.0           4,617.0      1,920       19,021,663      1,628,648.9  fopen64               
      0.0         51,350,583         10       5,135,058.3          28,593.5      9,434       51,031,956     16,126,540.3  connect               
      0.0         43,716,326        100         437,163.3          16,647.5      5,708        6,100,438      1,174,093.4  pthread_join          
      0.0         33,555,772      1,935          17,341.5           7,007.0      1,344          117,177         21,053.3  send                  
      0.0         29,627,225      7,800           3,798.4           2,307.5      1,000        1,214,464         15,284.6  mmap64                
      0.0         28,227,618        245         115,214.8          68,764.0     41,609       11,870,902        754,141.7  sleep                 
      0.0         11,071,018        167          66,293.5          47,982.0     16,115          788,254         74,165.5  pthread_create        
      0.0          8,394,435      1,289           6,512.4           2,201.0      1,000           89,202          8,381.1  fgets                 
      0.0          2,708,647      2,234           1,212.5           1,073.0      1,000            9,581            530.5  fclose                
      0.0          2,649,927      1,556           1,703.0           1,418.0      1,000           18,772            876.0  epoll_ctl             
      0.0          1,827,104         37          49,381.2          21,969.0      1,258          601,537         99,552.8  pthread_mutex_lock    
      0.0          1,525,531        202           7,552.1           3,538.0      1,229          126,121         10,757.8  mmap                  
      0.0          1,442,219         12         120,184.9         135,708.5     14,897          260,157         84,664.1  pthread_rwlock_rdlock 
      0.0          1,333,421         99          13,468.9           3,214.0      1,903          308,857         40,342.7  futex                 
      0.0          1,003,222        308           3,257.2           2,488.0      1,000           15,414          2,304.6  pthread_cond_signal   
      0.0            560,112        102           5,491.3           4,417.0      1,963           16,270          3,102.1  pipe2                 
      0.0            274,277         42           6,530.4           4,651.5      1,583           19,600          5,032.2  socket                
      0.0            248,295         18          13,794.2           3,429.0      1,029           91,048         23,483.4  bind                  
      0.0            195,940         26           7,536.2           6,595.5      1,012           23,328          6,365.3  pthread_cond_broadcast
      0.0             79,849         30           2,661.6           2,095.0      1,378            7,850          1,486.4  stat                  
      0.0             73,833         15           4,922.2           4,711.0      2,539            7,902          1,359.0  pthread_mutex_trylock 
      0.0             69,957          5          13,991.4          13,146.0      6,404           25,009          7,666.4  accept4               
      0.0             68,843         41           1,679.1           1,763.0      1,003            2,540            377.6  sigaction             
      0.0             58,806         30           1,960.2           2,100.5      1,003            3,452            650.6  dup2                  
      0.0             57,466         19           3,024.5           1,752.0      1,039            5,810          1,941.1  fflush                
      0.0             55,461         34           1,631.2           1,186.0      1,015            6,102          1,037.6  fcntl                 
      0.0             45,396          8           5,674.5           5,648.0      4,969            6,340            494.9  lstat                 
      0.0             41,433         19           2,180.7           1,753.0      1,013            3,492            895.5  pread                 
      0.0             30,122          7           4,303.1           4,200.0      3,657            5,216            488.9  fputs_unlocked        
      0.0             28,059          2          14,029.5          14,029.5     12,230           15,829          2,544.9  socketpair            
      0.0             24,818          8           3,102.3           2,990.5      2,170            4,144            716.0  flock                 
      0.0             22,207          5           4,441.4           3,489.0      3,095            6,196          1,544.4  fread                 
      0.0             18,935          8           2,366.9           2,367.5      1,963            3,009            327.7  mprotect              
      0.0             16,694          3           5,564.7           3,980.0      2,934            9,780          3,687.9  fwrite                
      0.0             16,115          6           2,685.8           2,184.0      1,685            4,768          1,172.4  fstat                 
      0.0             12,684          8           1,585.5           1,347.0      1,026            2,482            576.4  listen                
      0.0             10,302          1          10,302.0          10,302.0     10,302           10,302              0.0  kill                  
      0.0              8,365          2           4,182.5           4,182.5      3,963            4,402            310.4  fputs                 
      0.0              6,903          3           2,301.0           1,391.0      1,246            4,266          1,703.3  openat64              

[5/8] Executing 'cuda_api_sum' stats report

 Time (%)  Total Time (ns)  Num Calls    Avg (ns)     Med (ns)    Min (ns)    Max (ns)    StdDev (ns)                      Name                   
 --------  ---------------  ---------  ------------  -----------  ---------  -----------  ------------  ------------------------------------------
     88.4   46,937,426,386    245,324     191,328.3      4,587.0      2,824  101,810,784   1,048,325.3  cudaMemcpyAsync                           
      4.7    2,493,394,033         88  28,334,023.1     15,760.0      3,229  119,698,802  42,440,625.4  cudaHostAlloc                             
      2.7    1,455,648,101    159,808       9,108.7      5,617.0        714   64,133,488     269,769.6  cudaLaunchKernel                          
      2.3    1,207,731,744     10,618     113,743.8     73,351.0     61,988    1,706,174      82,957.5  cudaGraphLaunch_v10000                    
      0.4      215,017,756    170,401       1,261.8      1,050.0        594    1,859,958       7,635.1  cudaEventRecord                           
      0.3      181,609,586    170,394       1,065.8        769.0        354    4,098,109       9,965.6  cudaEventQuery                            
      0.2      106,372,464         10  10,637,246.4     52,428.0      9,038  105,923,811  33,480,318.7  cudaMemGetInfo                            
      0.2       99,317,189     17,033       5,830.9      6,201.0        650    3,803,345      29,193.0  cuLaunchKernel                            
      0.2       80,614,125     14,374       5,608.3      5,614.0        223      361,174       3,812.7  cudaMemsetAsync                           
      0.1       78,821,783         35   2,252,050.9  2,023,368.0  1,515,806    4,062,118     688,963.2  cudaGraphInstantiateWithFlags_v11040      
      0.1       40,646,025         35   1,161,315.0  1,113,301.0    799,815    1,434,417     184,273.6  cudaGraphExecDestroy_v10000               
      0.1       35,877,763     11,215       3,199.1      2,700.0      2,257       60,765       3,068.8  cudaStreamSynchronize                     
      0.1       35,289,694         66     534,692.3    255,452.0     70,038    2,137,121     536,637.0  cudaFree                                  
      0.1       27,182,114         10   2,718,211.4  2,817,660.5     65,879    4,870,611   1,541,459.1  cuLibraryLoadData                         
      0.0       24,600,138     32,130         765.6        901.0        272        9,288         365.0  cudaStreamIsCapturing_v10000              
      0.0       21,862,560        178     122,823.4    107,050.0      4,423      440,515      60,531.1  cudaMalloc                                
      0.0       19,789,871     17,033       1,161.9        862.0        255    4,619,413      37,260.6  cuKernelGetFunction                       
      0.0        5,538,225         35     158,235.0    154,516.0    129,373      219,967      20,588.0  cudaGraphDestroy_v10000                   
      0.0        5,134,115      8,785         584.4        547.0        331        2,421         170.1  cudaStreamGetCaptureInfo_v2_v11030        
      0.0        4,473,254         35     127,807.3    122,083.0    102,731      341,773      39,401.4  cudaStreamEndCapture_v10000               
      0.0        3,442,690        128      26,896.0      2,629.0      2,164    1,153,601     139,233.8  cudaStreamCreateWithPriority              
      0.0        2,151,872        106      20,300.7     20,077.0      3,017      116,731      17,791.3  cudaDeviceSynchronize                     
      0.0          964,089         35      27,545.4     28,536.0     12,939       33,952       4,699.2  cudaGraphGetNodes_v10000                  
      0.0          484,704         35      13,848.7     10,086.0      8,293       49,353       7,892.5  cudaStreamBeginCapture_v10000             
      0.0          143,228        810         176.8        142.0         78        1,674         124.6  cuGetProcAddress_v2                       
      0.0           41,506         26       1,596.4        405.0        293       20,771       4,030.5  cudaEventCreateWithFlags                  
      0.0           20,185         16       1,261.6        755.0        388        4,976       1,169.2  cuLibraryGetKernel                        
      0.0            5,221          8         652.6        588.5        403        1,269         271.3  cudaThreadExchangeStreamCaptureMode_v10010
      0.0            4,220          3       1,406.7      1,266.0      1,194        1,760         308.1  cuInit                                    
      0.0            3,891          1       3,891.0      3,891.0      3,891        3,891           0.0  cudaStreamWaitEvent                       
      0.0            1,600          1       1,600.0      1,600.0      1,600        1,600           0.0  cudaEventDestroy                          
      0.0            1,415          3         471.7        181.0        112        1,122         564.3  cuModuleGetLoadingMode                    
      0.0            1,042          2         521.0        521.0        266          776         360.6  cudaGetDriverEntryPoint_v11030            

[6/8] Executing 'cuda_gpu_kern_sum' stats report

 Time (%)  Total Time (ns)  Instances   Avg (ns)     Med (ns)    Min (ns)   Max (ns)   StdDev (ns)                                                  Name                                                
 --------  ---------------  ---------  -----------  -----------  ---------  ---------  -----------  ----------------------------------------------------------------------------------------------------
     22.0    2,238,853,597      5,322    420,679.0    497,094.0     10,464    530,758    175,343.2  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x2_tn_align8>(T1::Par…
     21.3    2,162,330,143      7,723    279,985.8    137,569.0      7,808    572,614    241,368.9  void cutlass::Kernel2<cutlass_80_tensorop_bf16_s16816gemm_relu_bf16_64x64_32x6_tn_align8>(T1::Param…
      6.6      675,302,986      1,542    437,939.7    488,389.0      6,976    489,318    144,690.4  std::enable_if<!T7, void>::type internal::gemvx::kernel<int, int, __nv_bfloat16, __nv_bfloat16, __n…
      6.2      627,830,506        686    915,204.8  1,059,228.0    524,419  1,383,823    340,824.4  ampere_bf16_s16816gemm_bf16_128x64_ldg8_f2f_tn                                                      
      4.8      483,075,277     10,650     45,359.2     25,536.0     25,088    590,242     51,533.6  void at::native::<unnamed>::cunn_SoftMaxForward<(int)4, float, float, float, at::native::<unnamed>:…
      4.5      456,691,515      1,624    281,214.0    123,697.5     41,857    714,468    267,999.6  ampere_bf16_s1688gemm_bf16_128x64_sliced1x2_ldg8_f2f_tn                                             
      4.4      443,295,899        700    633,279.9     82,161.0     50,336  1,413,417    610,178.0  ampere_bf16_s1688gemm_bf16_128x128_ldg8_f2f_stages_32x1_tn                                          
      4.3      439,409,336     10,651     41,255.2     30,272.0     29,472    624,867     30,275.9  void at::native::<unnamed>::cunn_SoftMaxForward<(int)4, float, float, float, at::native::<unnamed>:…
      3.4      347,517,575        840    413,711.4    402,820.5    131,585    994,316    214,545.4  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
      3.1      313,214,451        685    457,247.4    563,590.0     53,120    801,860    203,358.0  ampere_bf16_s1688gemm_bf16_64x128_sliced1x2_ldg8_f2f_tn                                             
      2.9      290,360,745        572    507,623.7    507,557.0    506,180    534,244      1,274.9  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x1_tn_align8>(T1::Par…
      2.8      287,234,571     10,650     26,970.4      5,600.0      1,440    496,643     50,376.8  void at::native::vectorized_elementwise_kernel<(int)4, at::native::BinaryFunctor<float, float, floa…
      2.7      278,027,726     10,650     26,105.9      6,593.0      2,880    333,186     39,710.4  void at::native::index_elementwise_kernel<(int)128, (int)4, void at::native::gpu_index_kernel<void …
      1.8      186,594,543     10,650     17,520.6      6,800.0      2,815    332,545     26,186.8  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl<at::native::…
      1.7      169,181,955      2,856     59,237.4      6,016.0      3,233    248,385     92,655.7  void vllm::act_and_mul_kernel<c10::BFloat16, &vllm::silu_kernel<c10::BFloat16>, (bool)1>(T1 *, cons…
      1.6      158,104,871     10,650     14,845.5      3,872.0      2,303    177,889     19,981.1  void at::native::<unnamed>::distribution_elementwise_grid_stride_kernel<float, (int)4, void at::nat…
      1.5      153,095,539     10,650     14,375.2      6,751.5      3,391    222,305     16,692.3  void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIterator…
      1.1      116,044,803     10,650     10,896.2      6,753.0      5,120    204,225      9,560.5  void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::ArgMaxOps<…
      0.6       63,493,779        420    151,175.7    155,105.5     76,352    169,955     20,661.0  ampere_bf16_s1688gemm_bf16_128x128_ldg8_relu_f2f_stages_32x1_tn                                     
      0.4       43,605,669      5,712      7,634.0      2,944.0      1,664     38,721      9,598.8  std::enable_if<T2>(int)0&&vllm::_typeConvert<T1>::exists, void>::type vllm::fused_add_rms_norm_kern…
      0.2       21,779,316      6,382      3,412.6      2,880.0      1,695      6,432      1,249.9  void at::native::<unnamed>::indexSelectSmallIndex<c10::BFloat16, long, unsigned int, (int)2, (int)2…
      0.2       20,408,368      1,120     18,221.8     17,184.0     11,872     23,233      3,872.8  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
      0.2       19,584,056      2,856      6,857.2      2,272.0      1,727     39,136      8,637.5  void vllm::rotary_embedding_kernel<c10::BFloat16, (bool)1>(const long *, T1 *, T1 *, const T1 *, in…
      0.2       17,761,784     10,651      1,667.6      1,632.0      1,248      2,721        172.3  void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIterator…
      0.2       16,783,368        784     21,407.4     13,472.5     11,936     63,136     12,620.2  ampere_bf16_s16816gemm_bf16_64x64_ldg8_f2f_stages_64x5_tn                                           
      0.2       16,762,810        448     37,417.0     37,408.0     36,384     39,136        440.0  void cutlass::Kernel2<cutlass_80_tensorop_bf16_s16816gemm_relu_bf16_64x128_32x6_tn_align8>(T1::Para…
      0.2       15,315,251        140    109,394.7    137,313.0     26,753    145,378     43,660.0  ampere_bf16_s1688gemm_bf16_128x64_sliced1x2_ldg8_relu_f2f_tn                                        
      0.1       13,952,650     10,618      1,314.1      1,280.0      1,120      1,728         92.3  void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::n…
      0.1       13,704,265      1,008     13,595.5     13,696.0     12,223     16,064        979.1  ampere_bf16_s16816gemm_bf16_64x64_ldg8_relu_f2f_stages_64x5_tn                                      
      0.1       12,657,882      4,370      2,896.5      2,657.0      2,048     36,704      2,156.3  void at::native::<unnamed>::indexSelectLargeIndex<c10::BFloat16, long, unsigned int, (int)2, (int)2…
      0.1        9,704,429      2,828      3,431.6      1,152.0        960     13,728      4,152.0  void vllm::reshape_and_cache_flash_kernel<__nv_bfloat16, __nv_bfloat16, (vllm::Fp8KVCacheDataType)0…
      0.1        8,544,392      2,942      2,904.3      1,024.0        831     90,592      8,528.1  void at::native::vectorized_elementwise_kernel<(int)8, at::native::FillFunctor<c10::BFloat16>, std:…
      0.1        8,103,531        840      9,647.1      8,160.0      6,305     15,520      2,996.4  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
      0.1        7,187,942        112     64,178.1     64,080.5     62,720     65,824        895.9  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_64x1_tn_align8>(T1::Para…
      0.1        6,334,831      3,080      2,056.8      1,888.0      1,343      3,103        552.3  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, __nv_bfloat16, __nv_bfloat16, float, (boo…
      0.0        4,928,376          4  1,232,094.0  1,222,582.0  1,208,582  1,274,630     31,240.7  void at_cuda_detail::cub::DeviceSegmentedRadixSortKernel<at_cuda_detail::cub::DeviceRadixSortPolicy…
      0.0        4,852,412        224     21,662.6     21,536.0      9,504     34,561     11,968.0  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_128x2_tn_align8>(T1::Par…
      0.0        2,897,013         56     51,732.4     51,664.0     49,761     54,177        837.6  void flash::flash_fwd_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)64, (int)4, (bool)0, (…
      0.0        2,553,965          2  1,276,982.5  1,276,982.5  1,236,934  1,317,031     56,637.1  void at_cuda_detail::cub::DeviceSegmentedRadixSortKernel<at_cuda_detail::cub::DeviceRadixSortPolicy…
      0.0        1,938,410         56     34,614.5     35,040.5     17,152     35,616      2,409.9  std::enable_if<!T7, void>::type internal::gemvx::kernel<int, int, __nv_bfloat16, float, float, floa…
      0.0        1,099,656        168      6,545.6      6,528.0      6,431      6,689         76.8  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.0        1,012,357          1  1,012,357.0  1,012,357.0  1,012,357  1,012,357          0.0  void at::native::_scatter_gather_elementwise_kernel<(int)128, (int)8, void at::native::_cuda_scatte…
      0.0          967,302        102      9,483.4      3,392.0      1,920     33,280     11,316.4  void vllm::rms_norm_kernel<c10::BFloat16>(T1 *, const T1 *, const T1 *, float, int, int)            
      0.0          883,038        280      3,153.7      3,168.0      2,784      3,584        212.3  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.0          742,210        224      3,313.4      3,328.0      3,136      3,615         93.3  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.0          680,196          2    340,098.0    340,098.0    340,002    340,194        135.8  void at::native::vectorized_elementwise_kernel<(int)4, at::native::<unnamed>::masked_fill_kernel(at…
      0.0          607,545        336      1,808.2      1,792.0      1,600      2,112        115.6  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, __nv_bfloat16, __nv_bfloat16, float, (boo…
      0.0          603,943         28     21,569.4     21,568.0     21,440     21,664         45.8  ampere_bf16_s16816gemm_bf16_128x64_ldg8_f2f_stages_32x6_tn                                          
      0.0          362,114          1    362,114.0    362,114.0    362,114    362,114          0.0  void at::native::tensor_kernel_scan_innermost_dim<float, std::plus<float>>(T1 *, const T1 *, unsign…
      0.0          317,665          1    317,665.0    317,665.0    317,665    317,665          0.0  at::native::<unnamed>::fill_reverse_indices_kernel(long *, int, at::cuda::detail::IntDivider<unsign…
      0.0          317,384        112      2,833.8      2,848.0      2,688      2,881         32.4  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.0          251,391         56      4,489.1      4,480.0      4,480      4,544         16.9  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.0          232,481          1    232,481.0    232,481.0    232,481    232,481          0.0  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::n…
      0.0          222,081          1    222,081.0    222,081.0    222,081    222,081          0.0  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl<at::native::…
      0.0           74,882         56      1,337.2      1,344.0      1,311      1,345         13.3  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, float, __nv_bfloat16, float, (bool)0, __n…
      0.0           65,379         73        895.6        896.0        832      1,440         77.4  void at::native::vectorized_elementwise_kernel<(int)2, at::native::FillFunctor<long>, std::array<ch…
      0.0            3,232          1      3,232.0      3,232.0      3,232      3,232          0.0  void at::native::<unnamed>::CatArrayBatchedCopy_aligned16_contig<at::native::<unnamed>::OpaqueType<…
      0.0            2,559          2      1,279.5      1,279.5      1,056      1,503        316.1  void <unnamed>::elementwise_kernel_with_index<int, at::native::arange_cuda_out(const c10::Scalar &,…
      0.0            2,272          1      2,272.0      2,272.0      2,272      2,272          0.0  void at::native::_scatter_gather_elementwise_kernel<(int)128, (int)8, void at::native::_cuda_scatte…
      0.0            2,240          1      2,240.0      2,240.0      2,240      2,240          0.0  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl<at::native::…
      0.0            2,112          1      2,112.0      2,112.0      2,112      2,112          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::cos_kernel_cuda(at::TensorIterat…
      0.0            2,048          1      2,048.0      2,048.0      2,048      2,048          0.0  void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::n…
      0.0            1,823          1      1,823.0      1,823.0      1,823      1,823          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::sin_kernel_cuda(at::TensorIterat…
      0.0            1,695          1      1,695.0      1,695.0      1,695      1,695          0.0  void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::Te…
      0.0            1,600          1      1,600.0      1,600.0      1,600      1,600          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::BUnaryFunctor<float, float, floa…
      0.0            1,536          1      1,536.0      1,536.0      1,536      1,536          0.0  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::n…
      0.0            1,472          1      1,472.0      1,472.0      1,472      1,472          0.0  void at::native::vectorized_elementwise_kernel<(int)8, at::native::CUDAFunctorOnOther_add<c10::BFlo…
      0.0            1,375          1      1,375.0      1,375.0      1,375      1,375          0.0  void at::native::vectorized_elementwise_kernel<(int)2, at::native::CUDAFunctorOnOther_add<long>, st…
      0.0            1,184          1      1,184.0      1,184.0      1,184      1,184          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::reciprocal_kernel_cuda(at::Tenso…
      0.0              992          1        992.0        992.0        992        992          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::AUnaryFunctor<float, float, floa…
      0.0              928          1        928.0        928.0        928        928          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::FillFunctor<int>, std::array<cha…
      0.0              896          1        896.0        896.0        896        896          0.0  void at::native::vectorized_elementwise_kernel<(int)2, at::native::FillFunctor<double>, std::array<…

[7/8] Executing 'cuda_gpu_mem_time_sum' stats report

 Time (%)  Total Time (ns)   Count   Avg (ns)  Med (ns)  Min (ns)   Max (ns)    StdDev (ns)            Operation           
 --------  ---------------  -------  --------  --------  --------  -----------  -----------  ------------------------------
     90.3      615,980,705  181,583   3,392.3     352.0       287  101,392,877    253,405.4  [CUDA memcpy Host-to-Device]  
      7.2       48,846,175   53,091     920.0     896.0       831      344,258      1,491.0  [CUDA memcpy Device-to-Device]
      1.8       12,138,408   10,650   1,139.8   1,120.0       832        1,760        117.2  [CUDA memcpy Device-to-Host]  
      0.7        5,068,956   12,722     398.4     320.0       288        1,536        188.1  [CUDA memset]                 

[8/8] Executing 'cuda_gpu_mem_size_sum' stats report

 Total (MB)   Count   Avg (MB)  Med (MB)  Min (MB)  Max (MB)  StdDev (MB)            Operation           
 ----------  -------  --------  --------  --------  --------  -----------  ------------------------------
  3,401.339  181,583     0.019     0.000     0.000   466.747        1.248  [CUDA memcpy Host-to-Device]  
    455.651   53,091     0.009     0.000     0.000   155.582        0.675  [CUDA memcpy Device-to-Device]
      4.763   12,722     0.000     0.000     0.000     0.003        0.001  [CUDA memset]                 
      2.082   10,650     0.000     0.000     0.000     0.002        0.000  [CUDA memcpy Device-to-Host]  

Generated:
    /data/cy/vllm_tts.nsys-rep
    /data/cy/vllm_tts.sqlite