diff --git "a/profile.log" "b/profile.log"
--- "a/profile.log"
+++ "b/profile.log"
@@ -4,504 +4,414 @@ 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 00:35:37 [__init__.py:244] Automatically detected platform cuda.
+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': 512, 'temperature': 0.8, 'beam_width': 4, 'generator_model': 'Qwen/Qwen2.5-Math-1.5B-Instruct', 'verifier_model': 'peiyi9979/math-shepherd-mistral-7b-prm', 'generator_gpu_memory': 0.2, 'verifier_gpu_memory': 0.65, 'offload_enabled': False, 'spec_beam_extension': False, 'prefix_aware_scheduling': False}
+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 00:35:51 [__init__.py:244] Automatically detected platform cuda.
+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: 3428396  |  CUDA Context Object: None
-INFO 08-10 00:36:03 [config.py:841] This model supports multiple tasks: {'classify', 'generate', 'reward', 'embed'}. Defaulting to 'generate'.
-INFO 08-10 00:36:03 [config.py:1472] Using max model len 4096
+✅ 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 00:36:04 [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 00:36:05 [cuda.py:363] Using Flash Attention backend.
-INFO 08-10 00:36:06 [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 00:36:06 [model_runner.py:1171] Starting to load model Qwen/Qwen2.5-Math-1.5B-Instruct...
-INFO 08-10 00:36:07 [weight_utils.py:292] Using model weights format ['*.safetensors']
-INFO 08-10 00:36:07 [weight_utils.py:345] No model.safetensors.index.json found in remote.
+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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Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:00<00:00,  1.83it/s]
 
-INFO 08-10 00:36:08 [default_loader.py:272] Loading weights took 0.92 seconds
-INFO 08-10 00:36:09 [model_runner.py:1203] Model loading took 2.8798 GiB and 2.025201 seconds
-INFO 08-10 00:36:09 [worker.py:294] Memory profiling takes 0.72 seconds
-INFO 08-10 00:36:09 [worker.py:294] the current vLLM instance can use total_gpu_memory (23.64GiB) x gpu_memory_utilization (0.20) = 4.73GiB
-INFO 08-10 00:36:09 [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 0.38GiB.
-INFO 08-10 00:36:10 [executor_base.py:113] # cuda blocks: 878, # CPU blocks: 9362
-INFO 08-10 00:36:10 [executor_base.py:118] Maximum concurrency for 4096 tokens per request: 3.43x
-INFO 08-10 00:36:13 [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 00:36:28 [model_runner.py:1671] Graph capturing finished in 15 secs, took 0.23 GiB
-INFO 08-10 00:36:28 [llm_engine.py:428] init engine (profile, create kv cache, warmup model) took 19.10 seconds
+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 00:36:33 [__init__.py:244] Automatically detected platform cuda.
+INFO 08-10 18:11:12 [__init__.py:244] Automatically detected platform cuda.
 INFO:models.tts_llm:Prefix-aware scheduling enabled: False
-✅ Process PID: 3428950  |  CUDA Context Object: None
-INFO 08-10 00:36:46 [config.py:1472] Using max model len 4096
-INFO 08-10 00:36:46 [arg_utils.py:1596] (Disabling) chunked prefill by default
-INFO 08-10 00:36:46 [config.py:4601] Only "last" pooling supports chunked prefill and prefix caching; disabling both.
+✅ 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 00:36:48 [core.py:526] Waiting for init message from front-end.
-INFO 08-10 00:36:48 [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 00:36:49 [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 00:36:49 [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 00:36:49 [gpu_model_runner.py:1770] Starting to load model peiyi9979/math-shepherd-mistral-7b-prm...
-INFO 08-10 00:36:49 [gpu_model_runner.py:1775] Loading model from scratch...
-INFO 08-10 00:36:49 [cuda.py:284] Using Flash Attention backend on V1 engine.
-INFO 08-10 00:36:50 [weight_utils.py:292] Using model weights format ['*.bin']
+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 00:37:01 [default_loader.py:272] Loading weights took 11.19 seconds
-INFO 08-10 00:37:02 [gpu_model_runner.py:1801] Model loading took 13.2457 GiB and 12.249603 seconds
-INFO 08-10 00:37:09 [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 00:37:09 [backends.py:519] Dynamo bytecode transform time: 6.91 s
-INFO 08-10 00:37:14 [backends.py:155] Directly load the compiled graph(s) for shape None from the cache, took 4.905 s
-INFO 08-10 00:37:15 [monitor.py:34] torch.compile takes 6.91 s in total
-INFO 08-10 00:37:16 [gpu_worker.py:232] Available KV cache memory: 1.58 GiB
-INFO 08-10 00:37:16 [kv_cache_utils.py:716] GPU KV cache size: 12,976 tokens
-INFO 08-10 00:37:16 [kv_cache_utils.py:720] Maximum concurrency for 4,096 tokens per request: 3.17x
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-INFO 08-10 00:37:36 [gpu_model_runner.py:2326] Graph capturing finished in 20 secs, took 0.53 GiB
-INFO 08-10 00:37:37 [core.py:172] init engine (profile, create kv cache, warmup model) took 34.69 seconds
-INFO 08-10 00:37:37 [config.py:4601] Only "last" pooling supports chunked prefill and prefix caching; disabling both.
+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:  88%|████████▊ | 59/67 [00:17<00:02,  3.52it/s]
Capturing CUDA graph shapes:  90%|████████▉ | 60/67 [00:17<00:01,  3.53it/s]
Capturing CUDA graph shapes:  91%|█████████ | 61/67 [00:17<00:01,  3.47it/s]
Capturing CUDA graph shapes:  93%|█████████▎| 62/67 [00:18<00:01,  3.50it/s]
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
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Adding requests:  22%|██▏       | 115/512 [00:00<00:00, 1140.88it/s]
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Adding requests:  69%|██████▊   | 351/512 [00:00<00:00, 1167.03it/s]
Adding requests:  91%|█████████▏| 468/512 [00:00<00:00, 1159.99it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 1160.36it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:37:38 [metrics.py:417] Avg prompt throughput: 57.4 tokens/s, Avg generation throughput: 0.2 tokens/s, Running: 256 reqs, Swapped: 0 reqs, Pending: 256 reqs, GPU KV cache usage: 31.0%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:37:38 [metrics.py:433] Prefix cache hit rate: GPU: 99.61%, CPU: 0.00%
-
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Processed prompts:   7%|▋         | 36/512 [00:01<00:12, 38.66it/s, est. speed input: 5759.64 toks/s, output: 368.56 toks/s]
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Processed prompts:  10%|█         | 53/512 [00:02<00:12, 37.31it/s, est. speed input: 6625.68 toks/s, output: 506.53 toks/s]
Processed prompts:  13%|█▎        | 67/512 [00:02<00:08, 51.68it/s, est. speed input: 7764.98 toks/s, output: 675.62 toks/s]
Processed prompts:  16%|█▋        | 84/512 [00:02<00:05, 74.11it/s, est. speed input: 9272.07 toks/s, output: 912.07 toks/s]
Processed prompts:  21%|██        | 108/512 [00:02<00:04, 96.69it/s, est. speed input: 11154.23 toks/s, output: 1223.28 toks/s]
Processed prompts:  25%|██▌       | 129/512 [00:02<00:03, 115.52it/s, est. speed input: 12722.28 toks/s, output: 1502.34 toks/s]
Processed prompts:  31%|███▏      | 161/512 [00:02<00:02, 140.35it/s, est. speed input: 14958.01 toks/s, output: 1895.98 toks/s]
Processed prompts:  34%|███▍      | 176/512 [00:03<00:02, 135.93it/s, est. speed input: 15693.45 toks/s, output: 2036.64 toks/s]
Processed prompts:  38%|███▊      | 195/512 [00:03<00:02, 129.37it/s, est. speed input: 16495.79 toks/s, output: 2211.33 toks/s]
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Processed prompts:  49%|████▉     | 253/512 [00:03<00:01, 157.45it/s, est. speed input: 19627.57 toks/s, output: 2871.28 toks/s]
Processed prompts:  53%|█████▎    | 270/512 [00:03<00:01, 146.48it/s, est. speed input: 20124.83 toks/s, output: 2965.99 toks/s]
Processed prompts:  56%|█████▌    | 286/512 [00:03<00:01, 136.49it/s, est. speed input: 20511.82 toks/s, output: 3020.98 toks/s]
Processed prompts:  61%|██████    | 310/512 [00:03<00:01, 153.38it/s, est. speed input: 21551.27 toks/s, output: 3191.22 toks/s]
Processed prompts:  65%|██████▌   | 333/512 [00:03<00:01, 169.21it/s, est. speed input: 22535.66 toks/s, output: 3409.03 toks/s]
Processed prompts:  70%|███████   | 359/512 [00:04<00:00, 187.74it/s, est. speed input: 23649.12 toks/s, output: 3608.96 toks/s]
Processed prompts:  77%|███████▋  | 395/512 [00:04<00:00, 224.50it/s, est. speed input: 25318.76 toks/s, output: 3917.80 toks/s]
Processed prompts:  85%|████████▌ | 436/512 [00:04<00:00, 270.57it/s, est. speed input: 27273.54 toks/s, output: 4278.91 toks/s]
Processed prompts:  92%|█████████▏| 471/512 [00:04<00:00, 288.67it/s, est. speed input: 28767.01 toks/s, output: 4657.40 toks/s]
Processed prompts:  98%|█████████▊| 501/512 [00:04<00:00, 148.63it/s, est. speed input: 27785.63 toks/s, output: 4767.31 toks/s]INFO 08-10 00:37:43 [metrics.py:417] Avg prompt throughput: 26817.8 tokens/s, Avg generation throughput: 5042.0 tokens/s, Running: 8 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 13.3%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:37:43 [metrics.py:433] Prefix cache hit rate: GPU: 99.80%, CPU: 0.00%
-INFO 08-10 00:37:48 [metrics.py:417] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 833.7 tokens/s, Running: 3 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 23.0%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:37:48 [metrics.py:433] Prefix cache hit rate: GPU: 99.80%, CPU: 0.00%
-
Processed prompts: 100%|██████████| 512/512 [00:11<00:00, 148.63it/s, est. speed input: 11819.57 toks/s, output: 2562.44 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:11<00:00, 43.78it/s, est. speed input: 11819.57 toks/s, output: 2562.44 toks/s] 
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Adding requests: 100%|██████████| 512/512 [00:00<00:00, 16428.62it/s]
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Processed prompts:  21%|██        | 106/512 [00:03<00:13, 29.85it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  77%|███████▋  | 394/512 [00:13<00:04, 27.51it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  79%|███████▉  | 406/512 [00:14<00:03, 29.09it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  81%|████████▏ | 417/512 [00:14<00:03, 29.01it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  84%|████████▍ | 429/512 [00:14<00:02, 29.47it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  88%|████████▊ | 451/512 [00:15<00:02, 29.42it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  90%|█████████ | 463/512 [00:16<00:01, 30.04it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  93%|█████████▎| 474/512 [00:16<00:01, 29.62it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  95%|█████████▍| 486/512 [00:16<00:00, 30.55it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  97%|█████████▋| 497/512 [00:17<00:00, 30.02it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  99%|█████████▉| 509/512 [00:17<00:00, 36.56it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:17<00:00, 36.56it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:17<00:00, 29.47it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
+
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: 4, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 29.97s, 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, 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, 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, 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, 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, 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, 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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 [00:30<04:31, 30.13s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests:  21%|██        | 106/512 [00:00<00:00, 1050.41it/s]
Adding requests:  42%|████▏     | 215/512 [00:00<00:00, 1068.70it/s]
Adding requests:  63%|██████▎   | 322/512 [00:00<00:00, 1067.78it/s]
Adding requests:  84%|████████▍ | 429/512 [00:00<00:00, 1058.09it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 1063.24it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:38:09 [metrics.py:417] Avg prompt throughput: 3105.7 tokens/s, Avg generation throughput: 37.8 tokens/s, Running: 256 reqs, Swapped: 0 reqs, Pending: 256 reqs, GPU KV cache usage: 41.8%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:38:09 [metrics.py:433] Prefix cache hit rate: GPU: 99.21%, CPU: 0.00%
-
Processed prompts:   0%|          | 1/512 [00:00<04:43,  1.80it/s, est. speed input: 588.99 toks/s, output: 19.81 toks/s]
Processed prompts:   1%|          | 5/512 [00:00<00:55,  9.07it/s, est. speed input: 2245.37 toks/s, output: 93.43 toks/s]
Processed prompts:   2%|▏         | 12/512 [00:00<00:23, 21.25it/s, est. speed input: 4441.10 toks/s, output: 207.10 toks/s]
Processed prompts:   3%|▎         | 16/512 [00:00<00:21, 22.83it/s, est. speed input: 4991.74 toks/s, output: 250.52 toks/s]
Processed prompts:   4%|▍         | 20/512 [00:01<00:20, 23.93it/s, est. speed input: 5400.59 toks/s, output: 292.07 toks/s]
Processed prompts:   5%|▍         | 24/512 [00:01<00:22, 21.59it/s, est. speed input: 5413.52 toks/s, output: 316.01 toks/s]
Processed prompts:   5%|▌         | 27/512 [00:01<00:21, 22.36it/s, est. speed input: 5575.79 toks/s, output: 346.25 toks/s]
Processed prompts:   6%|▌         | 30/512 [00:01<00:21, 22.78it/s, est. speed input: 5674.59 toks/s, output: 366.98 toks/s]
Processed prompts:   6%|▋         | 33/512 [00:01<00:20, 23.53it/s, est. speed input: 5811.83 toks/s, output: 381.27 toks/s]
Processed prompts:   7%|▋         | 38/512 [00:01<00:16, 28.34it/s, est. speed input: 6225.57 toks/s, output: 449.83 toks/s]
Processed prompts:   8%|▊         | 42/512 [00:02<00:18, 25.86it/s, est. speed input: 6255.56 toks/s, output: 480.84 toks/s]
Processed prompts:   9%|▉         | 45/512 [00:02<00:18, 25.67it/s, est. speed input: 6326.67 toks/s, output: 497.15 toks/s]WARNING 08-10 00:38:10 [scheduler.py:1834] Sequence group 811 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=1
-
Processed prompts:   9%|▉         | 48/512 [00:02<00:32, 14.46it/s, est. speed input: 5564.48 toks/s, output: 458.89 toks/s]WARNING 08-10 00:38:11 [scheduler.py:1834] Sequence group 753 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=51
-
Processed prompts:  11%|█         | 56/512 [00:02<00:19, 23.29it/s, est. speed input: 6148.99 toks/s, output: 577.14 toks/s]
Processed prompts:  12%|█▏        | 62/512 [00:02<00:15, 28.45it/s, est. speed input: 6520.77 toks/s, output: 665.35 toks/s]
Processed prompts:  14%|█▍        | 74/512 [00:02<00:09, 44.80it/s, est. speed input: 7522.29 toks/s, output: 882.92 toks/s]
Processed prompts:  17%|█▋        | 86/512 [00:03<00:07, 59.67it/s, est. speed input: 8443.55 toks/s, output: 1111.64 toks/s]
Processed prompts:  18%|█▊        | 94/512 [00:03<00:06, 60.67it/s, est. speed input: 8868.39 toks/s, output: 1248.66 toks/s]
Processed prompts:  21%|██        | 105/512 [00:03<00:05, 69.78it/s, est. speed input: 9583.17 toks/s, output: 1457.67 toks/s]
Processed prompts:  22%|██▏       | 113/512 [00:03<00:06, 64.18it/s, est. speed input: 9845.55 toks/s, output: 1590.05 toks/s]
Processed prompts:  24%|██▍       | 123/512 [00:03<00:05, 72.55it/s, est. speed input: 10434.85 toks/s, output: 1789.50 toks/s]
Processed prompts:  26%|██▋       | 135/512 [00:03<00:04, 81.04it/s, est. speed input: 11099.21 toks/s, output: 2043.21 toks/s]
Processed prompts:  29%|██▊       | 147/512 [00:03<00:04, 89.75it/s, est. speed input: 11739.53 toks/s, output: 2276.51 toks/s]
Processed prompts:  31%|███       | 157/512 [00:03<00:04, 81.05it/s, est. speed input: 12038.11 toks/s, output: 2441.56 toks/s]
Processed prompts:  32%|███▏      | 166/512 [00:04<00:04, 81.61it/s, est. speed input: 12383.58 toks/s, output: 2617.56 toks/s]
Processed prompts:  34%|███▍      | 175/512 [00:04<00:04, 77.01it/s, est. speed input: 12643.87 toks/s, output: 2754.75 toks/s]
Processed prompts:  36%|███▌      | 183/512 [00:04<00:04, 69.26it/s, est. speed input: 12746.74 toks/s, output: 2877.22 toks/s]
Processed prompts:  37%|███▋      | 191/512 [00:04<00:04, 68.37it/s, est. speed input: 12940.13 toks/s, output: 3010.44 toks/s]
Processed prompts:  39%|███▉      | 199/512 [00:04<00:04, 63.47it/s, est. speed input: 13045.85 toks/s, output: 3105.98 toks/s]
Processed prompts:  40%|████      | 206/512 [00:04<00:05, 58.45it/s, est. speed input: 13080.38 toks/s, output: 3164.81 toks/s]
Processed prompts:  42%|████▏     | 214/512 [00:04<00:04, 63.30it/s, est. speed input: 13305.40 toks/s, output: 3269.51 toks/s]WARNING 08-10 00:38:13 [scheduler.py:1834] Sequence group 869 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=101
-
Processed prompts:  43%|████▎     | 221/512 [00:04<00:04, 63.40it/s, est. speed input: 13432.21 toks/s, output: 3324.76 toks/s]
Processed prompts:  45%|████▍     | 228/512 [00:05<00:04, 63.65it/s, est. speed input: 13550.23 toks/s, output: 3412.76 toks/s]
Processed prompts:  46%|████▌     | 235/512 [00:05<00:04, 61.94it/s, est. speed input: 13653.35 toks/s, output: 3447.41 toks/s]INFO 08-10 00:38:14 [metrics.py:417] Avg prompt throughput: 16558.7 tokens/s, Avg generation throughput: 5647.7 tokens/s, Running: 128 reqs, Swapped: 0 reqs, Pending: 146 reqs, GPU KV cache usage: 95.8%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:38:14 [metrics.py:433] Prefix cache hit rate: GPU: 98.25%, CPU: 0.00%
-
Processed prompts:  47%|████▋     | 242/512 [00:05<00:05, 52.14it/s, est. speed input: 13563.92 toks/s, output: 3452.48 toks/s]
Processed prompts:  49%|████▉     | 250/512 [00:05<00:04, 55.06it/s, est. speed input: 13689.26 toks/s, output: 3542.40 toks/s]
Processed prompts:  50%|█████     | 258/512 [00:05<00:04, 56.86it/s, est. speed input: 13797.79 toks/s, output: 3635.25 toks/s]
Processed prompts:  52%|█████▏    | 264/512 [00:05<00:04, 54.50it/s, est. speed input: 13814.70 toks/s, output: 3665.41 toks/s]
Processed prompts:  53%|█████▎    | 273/512 [00:05<00:04, 56.10it/s, est. speed input: 13930.16 toks/s, output: 3790.71 toks/s]
Processed prompts:  54%|█████▍    | 279/512 [00:06<00:04, 55.61it/s, est. speed input: 13980.46 toks/s, output: 3884.59 toks/s]
Processed prompts:  56%|█████▌    | 285/512 [00:06<00:04, 54.96it/s, est. speed input: 14011.14 toks/s, output: 3935.39 toks/s]
Processed prompts:  57%|█████▋    | 291/512 [00:06<00:04, 54.84it/s, est. speed input: 14060.69 toks/s, output: 3948.04 toks/s]
Processed prompts:  59%|█████▉    | 301/512 [00:06<00:03, 63.84it/s, est. speed input: 14266.36 toks/s, output: 4046.08 toks/s]
Processed prompts:  60%|██████    | 308/512 [00:06<00:03, 62.11it/s, est. speed input: 14322.75 toks/s, output: 4041.71 toks/s]WARNING 08-10 00:38:15 [scheduler.py:1834] Sequence group 995 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=151
-
Processed prompts:  62%|██████▏   | 316/512 [00:06<00:03, 60.61it/s, est. speed input: 14383.35 toks/s, output: 4068.42 toks/s]
Processed prompts:  63%|██████▎   | 323/512 [00:06<00:03, 48.37it/s, est. speed input: 14233.79 toks/s, output: 4082.94 toks/s]
Processed prompts:  65%|██████▍   | 332/512 [00:06<00:03, 56.04it/s, est. speed input: 14396.72 toks/s, output: 4095.39 toks/s]
Processed prompts:  67%|██████▋   | 341/512 [00:07<00:02, 59.76it/s, est. speed input: 14525.65 toks/s, output: 4107.27 toks/s]
Processed prompts:  68%|██████▊   | 350/512 [00:07<00:02, 60.68it/s, est. speed input: 14608.69 toks/s, output: 4131.64 toks/s]
Processed prompts:  70%|██████▉   | 358/512 [00:07<00:02, 64.26it/s, est. speed input: 14728.29 toks/s, output: 4205.50 toks/s]
Processed prompts:  71%|███████▏  | 365/512 [00:07<00:02, 59.86it/s, est. speed input: 14738.35 toks/s, output: 4259.08 toks/s]
Processed prompts:  73%|███████▎  | 374/512 [00:07<00:02, 62.80it/s, est. speed input: 14838.42 toks/s, output: 4323.70 toks/s]WARNING 08-10 00:38:16 [scheduler.py:1834] Sequence group 1014 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=201
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Processed prompts:  74%|███████▍  | 381/512 [00:07<00:02, 62.42it/s, est. speed input: 14889.27 toks/s, output: 4312.26 toks/s]
Processed prompts:  76%|███████▌  | 388/512 [00:07<00:02, 59.25it/s, est. speed input: 14905.12 toks/s, output: 4353.56 toks/s]
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Processed prompts:  87%|████████▋ | 444/512 [00:08<00:00, 89.18it/s, est. speed input: 15757.62 toks/s, output: 4819.75 toks/s]
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Processed prompts:  90%|█████████ | 463/512 [00:08<00:00, 84.98it/s, est. speed input: 15993.01 toks/s, output: 4997.70 toks/s]
Processed prompts:  93%|█████████▎| 477/512 [00:08<00:00, 99.67it/s, est. speed input: 16285.05 toks/s, output: 5146.00 toks/s]
Processed prompts:  95%|█████████▌| 488/512 [00:08<00:00, 85.88it/s, est. speed input: 16355.40 toks/s, output: 5231.00 toks/s]
Processed prompts:  97%|█████████▋| 498/512 [00:09<00:00, 67.26it/s, est. speed input: 16258.96 toks/s, output: 5298.41 toks/s]
Processed prompts:  99%|█████████▉| 506/512 [00:10<00:00, 28.39it/s, est. speed input: 15213.99 toks/s, output: 5082.48 toks/s]INFO 08-10 00:38:19 [metrics.py:417] Avg prompt throughput: 14662.5 tokens/s, Avg generation throughput: 5112.6 tokens/s, Running: 6 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 26.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:38:19 [metrics.py:433] Prefix cache hit rate: GPU: 98.01%, CPU: 0.00%
-
Processed prompts: 100%|██████████| 512/512 [00:13<00:00,  6.87it/s, est. speed input: 11479.47 toks/s, output: 4206.63 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:13<00:00,  6.87it/s, est. speed input: 11479.47 toks/s, output: 4206.63 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:13<00:00, 38.18it/s, est. speed input: 11479.47 toks/s, output: 4206.63 toks/s]
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Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 16051.51it/s]
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Processed prompts:  57%|█████▋    | 291/512 [00:12<00:09, 22.54it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  93%|█████████▎| 475/512 [00:20<00:01, 23.23it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  99%|███████��█▉| 508/512 [00:21<00:00, 26.99it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:21<00:00, 26.99it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:21<00:00, 23.55it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
+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]
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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]
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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]
Processed prompts:  83%|████████▎ | 106/128 [00:06<00:02,  8.86it/s, est. speed input: 13820.54 toks/s, output: 2604.62 toks/s]
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:  94%|█████████▍| 120/128 [00:25<00:02,  4.00it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  95%|█████████▌| 122/128 [00:26<00:01,  4.36it/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: 9, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 66.13s, length of agg_scores: [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, 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, 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, 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], 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, 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, 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, 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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 [01:06<04:30, 33.83s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests:  18%|█▊        | 92/512 [00:00<00:00, 910.03it/s]
Adding requests:  36%|███▋      | 186/512 [00:00<00:00, 920.64it/s]
Adding requests:  54%|█████▍    | 279/512 [00:00<00:00, 919.23it/s]
Adding requests:  72%|███████▏  | 371/512 [00:00<00:00, 917.22it/s]
Adding requests:  90%|█████████ | 463/512 [00:00<00:00, 905.08it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 909.77it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:38:45 [metrics.py:417] Avg prompt throughput: 739.7 tokens/s, Avg generation throughput: 90.0 tokens/s, Running: 108 reqs, Swapped: 0 reqs, Pending: 404 reqs, GPU KV cache usage: 66.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:38:45 [metrics.py:433] Prefix cache hit rate: GPU: 96.38%, CPU: 0.00%
-
Processed prompts:   0%|          | 1/512 [00:00<05:34,  1.53it/s, est. speed input: 575.34 toks/s, output: 13.73 toks/s]WARNING 08-10 00:38:46 [scheduler.py:1834] Sequence group 1234 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=251
-
Processed prompts:   1%|          | 3/512 [00:01<02:56,  2.88it/s, est. speed input: 1106.17 toks/s, output: 29.13 toks/s]
Processed prompts:   1%|▏         | 7/512 [00:01<01:04,  7.77it/s, est. speed input: 2146.44 toks/s, output: 74.49 toks/s]
Processed prompts:   2%|▏         | 12/512 [00:01<00:36, 13.63it/s, est. speed input: 3214.84 toks/s, output: 139.71 toks/s]WARNING 08-10 00:38:46 [scheduler.py:1834] Sequence group 1181 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=301
-
Processed prompts:   3%|▎         | 15/512 [00:01<00:34, 14.51it/s, est. speed input: 3502.00 toks/s, output: 180.99 toks/s]
Processed prompts:   4%|▍         | 22/512 [00:01<00:20, 23.55it/s, est. speed input: 4793.68 toks/s, output: 310.27 toks/s]
Processed prompts:   5%|▌         | 26/512 [00:01<00:23, 20.37it/s, est. speed input: 4941.55 toks/s, output: 366.88 toks/s]
Processed prompts:   6%|▋         | 32/512 [00:02<00:18, 25.38it/s, est. speed input: 5586.48 toks/s, output: 512.45 toks/s]
Processed prompts:   7%|▋         | 36/512 [00:02<00:18, 25.08it/s, est. speed input: 5818.61 toks/s, output: 609.43 toks/s]
Processed prompts:   8%|▊         | 41/512 [00:02<00:16, 29.38it/s, est. speed input: 6355.22 toks/s, output: 758.14 toks/s]
Processed prompts:   9%|▉         | 48/512 [00:02<00:13, 34.37it/s, est. speed input: 6932.96 toks/s, output: 959.73 toks/s]
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Processed prompts:  23%|██▎       | 118/512 [00:03<00:07, 50.58it/s, est. speed input: 11308.63 toks/s, output: 2668.88 toks/s]WARNING 08-10 00:38:49 [scheduler.py:1834] Sequence group 1233 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=351
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Processed prompts:  24%|██▍       | 124/512 [00:03<00:09, 42.40it/s, est. speed input: 11298.47 toks/s, output: 2727.33 toks/s]
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Processed prompts:  35%|███▌      | 181/512 [00:05<00:07, 46.75it/s, est. speed input: 12833.47 toks/s, output: 3291.15 toks/s]INFO 08-10 00:38:50 [metrics.py:417] Avg prompt throughput: 27353.6 tokens/s, Avg generation throughput: 4654.2 tokens/s, Running: 90 reqs, Swapped: 0 reqs, Pending: 237 reqs, GPU KV cache usage: 96.5%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:38:50 [metrics.py:433] Prefix cache hit rate: GPU: 94.71%, CPU: 0.00%
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Processed prompts:  70%|██████▉   | 357/512 [00:09<00:03, 42.67it/s, est. speed input: 13951.92 toks/s, output: 4006.65 toks/s]
Processed prompts:  71%|███████   | 363/512 [00:09<00:03, 43.71it/s, est. speed input: 13980.18 toks/s, output: 4014.76 toks/s]
Processed prompts:  72%|███████▏  | 370/512 [00:09<00:03, 45.62it/s, est. speed input: 14033.42 toks/s, output: 4029.13 toks/s]
Processed prompts:  73%|███████▎  | 375/512 [00:09<00:03, 42.76it/s, est. speed input: 14005.81 toks/s, output: 4043.30 toks/s]
Processed prompts:  74%|███████▍  | 381/512 [00:09<00:03, 38.42it/s, est. speed input: 13956.77 toks/s, output: 4025.96 toks/s]
Processed prompts:  75%|███████▌  | 386/512 [00:09<00:03, 39.70it/s, est. speed input: 13982.43 toks/s, output: 4017.84 toks/s]
Processed prompts:  76%|███████▋  | 391/512 [00:10<00:02, 41.46it/s, est. speed input: 14011.78 toks/s, output: 4030.30 toks/s]INFO 08-10 00:38:55 [metrics.py:417] Avg prompt throughput: 16193.8 tokens/s, Avg generation throughput: 4774.9 tokens/s, Running: 80 reqs, Swapped: 0 reqs, Pending: 39 reqs, GPU KV cache usage: 97.6%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:38:55 [metrics.py:433] Prefix cache hit rate: GPU: 93.42%, CPU: 0.00%
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Processed prompts:  77%|███████▋  | 396/512 [00:10<00:02, 39.44it/s, est. speed input: 13984.07 toks/s, output: 4026.49 toks/s]
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Processed prompts: 100%|██████████| 512/512 [00:13<00:00, 38.04it/s, est. speed input: 13824.63 toks/s, output: 4288.05 toks/s]
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Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 15909.05it/s]
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Processed prompts:  76%|███████▌  | 388/512 [00:19<00:06, 20.30it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  77%|███████▋  | 396/512 [00:19<00:05, 20.46it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  79%|███████▊  | 403/512 [00:20<00:05, 19.85it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  80%|████████  | 410/512 [00:20<00:05, 19.65it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  81%|████████▏ | 417/512 [00:20<00:04, 19.24it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  89%|████████▉ | 455/512 [00:22<00:02, 20.62it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  90%|█████████ | 463/512 [00:23<00:02, 20.72it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  92%|█████████▏| 471/512 [00:23<00:01, 20.77it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  94%|█████████▎| 479/512 [00:23<00:01, 21.09it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  95%|█████████▍| 486/512 [00:24<00:01, 20.26it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  96%|█████████▋| 493/512 [00:24<00:00, 19.64it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  98%|█████████▊| 501/512 [00:24<00:00, 20.31it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  99%|█████████▉| 509/512 [00:25<00:00, 24.48it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:25<00:00, 24.48it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:25<00:00, 20.38it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
+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:   1%|          | 1/128 [00:00<00:55,  2.28it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 2/128 [00:00<00:51,  2.44it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   3%|▎         | 4/128 [00:01<00:34,  3.64it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▍         | 6/128 [00:01<00:28,  4.23it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▌         | 7/128 [00:02<00:34,  3.55it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   6%|▋         | 8/128 [00:02<00:34,  3.50it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   7%|▋         | 9/128 [00:02<00:34,  3.44it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   9%|▊         | 11/128 [00:03<00:37,  3.15it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  10%|█         | 13/128 [00:03<00:38,  3.02it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  11%|█         | 14/128 [00:04<00:38,  2.97it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  12%|█▏        | 15/128 [00:04<00:39,  2.88it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  14%|█▍        | 18/128 [00:05<00:34,  3.22it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  16%|█▌        | 20/128 [00:05<00:28,  3.85it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts: 100%|██████████| 128/128 [00:38<00:00,  2.84it/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 2 completed beams: 9, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 105.83s, length of agg_scores: [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, 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, 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, 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], 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, 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, 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, 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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 [01:46<04:16, 36.68s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests:  13%|█▎        | 68/512 [00:00<00:00, 679.68it/s]
Adding requests:  27%|██▋       | 140/512 [00:00<00:00, 699.52it/s]
Adding requests:  41%|████      | 210/512 [00:00<00:00, 686.66it/s]
Adding requests:  55%|█████▍    | 280/512 [00:00<00:00, 689.77it/s]
Adding requests:  68%|██████▊   | 350/512 [00:00<00:00, 689.72it/s]
Adding requests:  82%|████████▏ | 419/512 [00:00<00:00, 689.77it/s]
Adding requests:  96%|█████████▌| 490/512 [00:00<00:00, 694.44it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 690.79it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:39:25 [metrics.py:417] Avg prompt throughput: 842.8 tokens/s, Avg generation throughput: 345.5 tokens/s, Running: 57 reqs, Swapped: 0 reqs, Pending: 455 reqs, GPU KV cache usage: 71.1%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:39:25 [metrics.py:433] Prefix cache hit rate: GPU: 92.32%, CPU: 0.00%
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Processed prompts:   6%|▌         | 31/512 [00:01<00:13, 35.20it/s, est. speed input: 11024.06 toks/s, output: 904.65 toks/s]
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Processed prompts:  21%|██        | 107/512 [00:03<00:09, 41.35it/s, est. speed input: 15462.59 toks/s, output: 1958.51 toks/s]
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Processed prompts:  25%|██▌       | 129/512 [00:03<00:09, 41.62it/s, est. speed input: 16015.08 toks/s, output: 2243.59 toks/s]
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Processed prompts:  28%|██▊       | 141/512 [00:04<00:17, 21.81it/s, est. speed input: 14693.01 toks/s, output: 2151.19 toks/s]
Processed prompts:  29%|██▊       | 146/512 [00:04<00:15, 24.27it/s, est. speed input: 14764.21 toks/s, output: 2148.64 toks/s]
Processed prompts:  29%|██▉       | 150/512 [00:04<00:13, 26.61it/s, est. speed input: 14832.51 toks/s, output: 2191.62 toks/s]
Processed prompts:  30%|███       | 156/512 [00:04<00:11, 32.16it/s, est. speed input: 15037.81 toks/s, output: 2245.87 toks/s]
Processed prompts:  31%|███▏      | 161/512 [00:04<00:10, 34.37it/s, est. speed input: 15142.36 toks/s, output: 2265.73 toks/s]
Processed prompts:  33%|███▎      | 168/512 [00:05<00:08, 38.54it/s, est. speed input: 15334.82 toks/s, output: 2284.18 toks/s]
Processed prompts:  34%|███▍      | 176/512 [00:05<00:07, 47.50it/s, est. speed input: 15724.84 toks/s, output: 2401.34 toks/s]INFO 08-10 00:39:30 [metrics.py:417] Avg prompt throughput: 20925.6 tokens/s, Avg generation throughput: 3285.7 tokens/s, Running: 58 reqs, Swapped: 0 reqs, Pending: 275 reqs, GPU KV cache usage: 91.6%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:39:30 [metrics.py:433] Prefix cache hit rate: GPU: 90.73%, CPU: 0.00%
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Processed prompts:  36%|███▌      | 184/512 [00:05<00:06, 53.10it/s, est. speed input: 16124.10 toks/s, output: 2458.13 toks/s]
Processed prompts:  37%|███▋      | 190/512 [00:05<00:07, 43.74it/s, est. speed input: 15981.36 toks/s, output: 2416.53 toks/s]
Processed prompts:  38%|███▊      | 195/512 [00:05<00:07, 44.81it/s, est. speed input: 16067.08 toks/s, output: 2404.99 toks/s]
Processed prompts:  39%|███▉      | 200/512 [00:05<00:07, 42.28it/s, est. speed input: 16052.46 toks/s, output: 2404.92 toks/s]
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Processed prompts:  67%|██████▋   | 342/512 [00:09<00:04, 38.44it/s, est. speed input: 16108.97 toks/s, output: 2858.51 toks/s]
Processed prompts:  68%|██████▊   | 348/512 [00:09<00:03, 41.82it/s, est. speed input: 16176.83 toks/s, output: 2873.50 toks/s]
Processed prompts:  69%|██████▉   | 353/512 [00:10<00:04, 37.31it/s, est. speed input: 16162.69 toks/s, output: 2924.91 toks/s]INFO 08-10 00:39:35 [metrics.py:417] Avg prompt throughput: 15537.6 tokens/s, Avg generation throughput: 3631.2 tokens/s, Running: 49 reqs, Swapped: 0 reqs, Pending: 107 reqs, GPU KV cache usage: 94.0%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:39:35 [metrics.py:433] Prefix cache hit rate: GPU: 89.32%, CPU: 0.00%
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Processed prompts:  95%|█████████▍| 486/512 [00:13<00:00, 37.41it/s, est. speed input: 16223.93 toks/s, output: 3163.13 toks/s]
Processed prompts:  96%|█████████▌| 491/512 [00:13<00:00, 36.48it/s, est. speed input: 16225.11 toks/s, output: 3177.36 toks/s]
Processed prompts:  97%|█████████▋| 496/512 [00:14<00:00, 38.08it/s, est. speed input: 16264.72 toks/s, output: 3187.69 toks/s]
Processed prompts:  98%|█████████▊| 500/512 [00:14<00:00, 32.46it/s, est. speed input: 16190.72 toks/s, output: 3187.11 toks/s]
Processed prompts:  98%|█████████▊| 504/512 [00:14<00:00, 24.09it/s, est. speed input: 16015.73 toks/s, output: 3204.38 toks/s]
Processed prompts:  99%|█████████▉| 507/512 [00:14<00:00, 16.24it/s, est. speed input: 15702.20 toks/s, output: 3208.73 toks/s]INFO 08-10 00:39:40 [metrics.py:417] Avg prompt throughput: 10444.9 tokens/s, Avg generation throughput: 3108.7 tokens/s, Running: 5 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 27.8%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:39:40 [metrics.py:433] Prefix cache hit rate: GPU: 88.40%, CPU: 0.00%
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Processed prompts: 100%|██████████| 512/512 [00:16<00:00, 30.46it/s, est. speed input: 14157.44 toks/s, output: 3031.32 toks/s]
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Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 15261.66it/s]
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Processed prompts:  80%|████████  | 412/512 [00:24<00:05, 17.77it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  94%|█████████▍| 482/512 [00:28<00:01, 17.23it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  96%|█████████▋| 493/512 [00:29<00:01, 16.08it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts: 100%|██████████| 512/512 [00:29<00:00, 16.48it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:29<00:00, 17.16it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
+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%
+
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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]
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Processed prompts:  31%|███▏      | 40/128 [00:02<00:03, 24.92it/s, est. speed input: 36155.61 toks/s, output: 680.37 toks/s]
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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]
+
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Processed prompts:   1%|          | 1/128 [00:00<00:53,  2.38it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   2%|▏         | 3/128 [00:01<00:50,  2.48it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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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]
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Processed prompts:  11%|█         | 14/128 [00:04<00:39,  2.87it/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: 10, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 153.87s, 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, 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, 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, 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: [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, 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, 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, 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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 [02:34<04:07, 41.27s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests:  10%|█         | 53/512 [00:00<00:00, 521.10it/s]
Adding requests:  22%|██▏       | 111/512 [00:00<00:00, 552.39it/s]
Adding requests:  34%|███▍      | 176/512 [00:00<00:00, 596.35it/s]
Adding requests:  47%|████▋     | 242/512 [00:00<00:00, 620.08it/s]
Adding requests:  60%|██████    | 308/512 [00:00<00:00, 632.21it/s]
Adding requests:  73%|███████▎  | 372/512 [00:00<00:00, 630.89it/s]
Adding requests:  85%|████████▌ | 436/512 [00:00<00:00, 631.31it/s]
Adding requests:  98%|█████████▊| 503/512 [00:00<00:00, 640.76it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 622.28it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:40:14 [metrics.py:417] Avg prompt throughput: 269.4 tokens/s, Avg generation throughput: 22.8 tokens/s, Running: 41 reqs, Swapped: 0 reqs, Pending: 471 reqs, GPU KV cache usage: 65.9%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:40:14 [metrics.py:433] Prefix cache hit rate: GPU: 87.85%, CPU: 0.00%
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Processed prompts:  26%|██▋       | 135/512 [00:03<00:11, 33.56it/s, est. speed input: 18283.17 toks/s, output: 2421.54 toks/s]
Processed prompts:  27%|██▋       | 139/512 [00:04<00:11, 33.05it/s, est. speed input: 18316.40 toks/s, output: 2457.38 toks/s]
Processed prompts:  28%|██▊       | 144/512 [00:04<00:10, 36.36it/s, est. speed input: 18579.00 toks/s, output: 2555.64 toks/s]
Processed prompts:  29%|██▉       | 148/512 [00:04<00:11, 32.39it/s, est. speed input: 18390.77 toks/s, output: 2661.47 toks/s]
Processed prompts:  30%|██▉       | 152/512 [00:04<00:10, 33.15it/s, est. speed input: 18348.08 toks/s, output: 2663.48 toks/s]
Processed prompts:  30%|███       | 156/512 [00:04<00:12, 29.10it/s, est. speed input: 18132.13 toks/s, output: 2653.99 toks/s]
Processed prompts:  31%|███▏      | 160/512 [00:04<00:11, 30.79it/s, est. speed input: 18224.73 toks/s, output: 2652.66 toks/s]
Processed prompts:  32%|███▏      | 164/512 [00:04<00:11, 29.73it/s, est. speed input: 18188.56 toks/s, output: 2679.65 toks/s]
Processed prompts:  33%|███▎      | 169/512 [00:05<00:10, 32.01it/s, est. speed input: 18171.58 toks/s, output: 2654.82 toks/s]
Processed prompts:  34%|███▍      | 175/512 [00:05<00:08, 38.63it/s, est. speed input: 18540.41 toks/s, output: 2730.27 toks/s]INFO 08-10 00:40:19 [metrics.py:417] Avg prompt throughput: 23112.9 tokens/s, Avg generation throughput: 3492.3 tokens/s, Running: 51 reqs, Swapped: 0 reqs, Pending: 285 reqs, GPU KV cache usage: 94.1%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:40:19 [metrics.py:433] Prefix cache hit rate: GPU: 87.26%, CPU: 0.00%
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Processed prompts:  35%|███▌      | 180/512 [00:05<00:09, 36.15it/s, est. speed input: 18581.00 toks/s, output: 2708.30 toks/s]
Processed prompts:  36%|███▌      | 184/512 [00:05<00:10, 31.73it/s, est. speed input: 18307.21 toks/s, output: 2643.98 toks/s]
Processed prompts:  37%|███▋      | 188/512 [00:05<00:11, 27.89it/s, est. speed input: 18062.67 toks/s, output: 2586.57 toks/s]
Processed prompts:  38%|███▊      | 192/512 [00:05<00:10, 29.12it/s, est. speed input: 18028.00 toks/s, output: 2578.40 toks/s]
Processed prompts:  38%|███▊      | 196/512 [00:05<00:10, 31.28it/s, est. speed input: 18079.06 toks/s, output: 2589.50 toks/s]
Processed prompts:  39%|███▉      | 201/512 [00:05<00:09, 34.47it/s, est. speed input: 18178.10 toks/s, output: 2610.07 toks/s]
Processed prompts:  40%|████      | 205/512 [00:06<00:08, 34.34it/s, est. speed input: 18219.14 toks/s, output: 2604.32 toks/s]
Processed prompts:  41%|████      | 209/512 [00:06<00:09, 32.44it/s, est. speed input: 18123.35 toks/s, output: 2608.50 toks/s]
Processed prompts:  42%|████▏     | 213/512 [00:06<00:08, 34.30it/s, est. speed input: 18208.11 toks/s, output: 2634.05 toks/s]
Processed prompts:  43%|████▎     | 218/512 [00:06<00:08, 35.12it/s, est. speed input: 18231.67 toks/s, output: 2653.15 toks/s]
Processed prompts:  43%|████▎     | 222/512 [00:06<00:08, 36.06it/s, est. speed input: 18246.86 toks/s, output: 2662.59 toks/s]
Processed prompts:  44%|████▍     | 226/512 [00:06<00:09, 31.23it/s, est. speed input: 18151.97 toks/s, output: 2675.46 toks/s]
Processed prompts:  45%|████▌     | 231/512 [00:06<00:08, 35.00it/s, est. speed input: 18209.33 toks/s, output: 2682.95 toks/s]
Processed prompts:  46%|████▌     | 235/512 [00:07<00:09, 29.08it/s, est. speed input: 18011.35 toks/s, output: 2719.94 toks/s]
Processed prompts:  47%|████▋     | 239/512 [00:07<00:09, 30.09it/s, est. speed input: 18048.41 toks/s, output: 2772.93 toks/s]
Processed prompts:  47%|████▋     | 243/512 [00:07<00:08, 31.62it/s, est. speed input: 18076.75 toks/s, output: 2812.94 toks/s]
Processed prompts:  49%|████▊     | 249/512 [00:07<00:07, 34.38it/s, est. speed input: 18164.87 toks/s, output: 2799.52 toks/s]
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Processed prompts:  51%|█████     | 262/512 [00:07<00:06, 38.67it/s, est. speed input: 18336.19 toks/s, output: 2814.77 toks/s]
Processed prompts:  52%|█████▏    | 266/512 [00:07<00:07, 33.72it/s, est. speed input: 18243.91 toks/s, output: 2860.42 toks/s]
Processed prompts:  53%|█████▎    | 271/512 [00:08<00:06, 36.41it/s, est. speed input: 18300.09 toks/s, output: 2856.97 toks/s]
Processed prompts:  54%|█████▎    | 275/512 [00:08<00:07, 31.99it/s, est. speed input: 18207.94 toks/s, output: 2891.54 toks/s]
Processed prompts:  54%|█████▍    | 279/512 [00:08<00:07, 32.42it/s, est. speed input: 18225.09 toks/s, output: 2883.78 toks/s]
Processed prompts:  55%|█████▌    | 283/512 [00:08<00:06, 34.14it/s, est. speed input: 18253.56 toks/s, output: 2873.31 toks/s]
Processed prompts:  56%|█████▌    | 287/512 [00:08<00:06, 33.08it/s, est. speed input: 18214.16 toks/s, output: 2865.72 toks/s]
Processed prompts:  57%|█████▋    | 291/512 [00:08<00:07, 30.41it/s, est. speed input: 18158.88 toks/s, output: 2842.35 toks/s]
Processed prompts:  58%|█████▊    | 297/512 [00:08<00:05, 37.51it/s, est. speed input: 18279.52 toks/s, output: 2856.26 toks/s]
Processed prompts:  59%|█████▉    | 303/512 [00:08<00:05, 39.70it/s, est. speed input: 18431.58 toks/s, output: 2872.72 toks/s]
Processed prompts:  60%|██████    | 308/512 [00:09<00:05, 36.02it/s, est. speed input: 18407.60 toks/s, output: 2856.11 toks/s]
Processed prompts:  61%|██████    | 312/512 [00:09<00:05, 36.02it/s, est. speed input: 18426.24 toks/s, output: 2868.03 toks/s]
Processed prompts:  62%|██████▏   | 316/512 [00:09<00:05, 34.53it/s, est. speed input: 18391.58 toks/s, output: 2864.06 toks/s]
Processed prompts:  63%|██████▎   | 323/512 [00:09<00:04, 42.14it/s, est. speed input: 18543.14 toks/s, output: 2950.19 toks/s]
Processed prompts:  64%|██████▍   | 328/512 [00:09<00:04, 40.95it/s, est. speed input: 18581.70 toks/s, output: 2929.80 toks/s]
Processed prompts:  65%|██████▌   | 333/512 [00:09<00:04, 37.73it/s, est. speed input: 18575.42 toks/s, output: 2942.04 toks/s]
Processed prompts:  66%|██████▌   | 338/512 [00:09<00:04, 36.93it/s, est. speed input: 18546.84 toks/s, output: 2935.91 toks/s]
Processed prompts:  67%|██████▋   | 344/512 [00:09<00:04, 41.29it/s, est. speed input: 18638.75 toks/s, output: 2946.61 toks/s]
Processed prompts:  68%|██████▊   | 349/512 [00:10<00:04, 39.34it/s, est. speed input: 18657.83 toks/s, output: 2954.94 toks/s]INFO 08-10 00:40:24 [metrics.py:417] Avg prompt throughput: 17696.1 tokens/s, Avg generation throughput: 3430.9 tokens/s, Running: 44 reqs, Swapped: 0 reqs, Pending: 118 reqs, GPU KV cache usage: 96.2%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:40:24 [metrics.py:433] Prefix cache hit rate: GPU: 86.55%, CPU: 0.00%
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Processed prompts:  69%|██████▉   | 354/512 [00:10<00:03, 41.14it/s, est. speed input: 18726.24 toks/s, output: 2956.21 toks/s]
Processed prompts:  70%|███████   | 359/512 [00:10<00:04, 36.58it/s, est. speed input: 18649.44 toks/s, output: 2946.31 toks/s]
Processed prompts:  71%|███████   | 363/512 [00:10<00:04, 34.95it/s, est. speed input: 18629.01 toks/s, output: 2950.85 toks/s]
Processed prompts:  72%|███████▏  | 367/512 [00:10<00:04, 30.60it/s, est. speed input: 18527.68 toks/s, output: 2946.12 toks/s]
Processed prompts:  73%|███████▎  | 372/512 [00:10<00:04, 34.04it/s, est. speed input: 18583.98 toks/s, output: 2971.45 toks/s]
Processed prompts:  73%|███████▎  | 376/512 [00:10<00:04, 33.23it/s, est. speed input: 18587.72 toks/s, output: 3028.31 toks/s]
Processed prompts:  74%|███████▍  | 380/512 [00:11<00:04, 32.53it/s, est. speed input: 18577.75 toks/s, output: 3016.85 toks/s]
Processed prompts:  75%|███████▌  | 385/512 [00:11<00:03, 35.95it/s, est. speed input: 18623.73 toks/s, output: 3032.55 toks/s]
Processed prompts:  76%|███████▌  | 389/512 [00:11<00:03, 34.45it/s, est. speed input: 18615.56 toks/s, output: 3027.27 toks/s]
Processed prompts:  77%|███████▋  | 393/512 [00:11<00:03, 34.85it/s, est. speed input: 18595.57 toks/s, output: 3019.19 toks/s]
Processed prompts:  78%|███████▊  | 397/512 [00:11<00:03, 32.50it/s, est. speed input: 18575.70 toks/s, output: 3060.31 toks/s]
Processed prompts:  78%|███████▊  | 401/512 [00:11<00:03, 30.52it/s, est. speed input: 18524.80 toks/s, output: 3047.45 toks/s]
Processed prompts:  79%|███████▉  | 405/512 [00:11<00:03, 30.77it/s, est. speed input: 18495.59 toks/s, output: 3051.06 toks/s]
Processed prompts:  80%|███████▉  | 409/512 [00:11<00:03, 32.20it/s, est. speed input: 18494.01 toks/s, output: 3042.95 toks/s]
Processed prompts:  81%|████████  | 413/512 [00:12<00:03, 27.47it/s, est. speed input: 18398.58 toks/s, output: 3047.95 toks/s]
Processed prompts:  82%|████████▏ | 418/512 [00:12<00:03, 30.91it/s, est. speed input: 18424.69 toks/s, output: 3073.04 toks/s]
Processed prompts:  83%|████████▎ | 423/512 [00:12<00:02, 34.26it/s, est. speed input: 18485.13 toks/s, output: 3112.35 toks/s]
Processed prompts:  83%|████████▎ | 427/512 [00:12<00:02, 35.35it/s, est. speed input: 18498.35 toks/s, output: 3098.64 toks/s]
Processed prompts:  84%|████████▍ | 431/512 [00:12<00:02, 31.51it/s, est. speed input: 18452.75 toks/s, output: 3092.87 toks/s]
Processed prompts:  85%|████████▍ | 435/512 [00:12<00:02, 30.40it/s, est. speed input: 18429.86 toks/s, output: 3072.22 toks/s]
Processed prompts:  86%|████████▌ | 439/512 [00:12<00:02, 30.16it/s, est. speed input: 18397.07 toks/s, output: 3063.08 toks/s]
Processed prompts:  87%|████████▋ | 445/512 [00:13<00:02, 33.34it/s, est. speed input: 18444.85 toks/s, output: 3070.27 toks/s]
Processed prompts:  88%|████████▊ | 452/512 [00:13<00:01, 41.24it/s, est. speed input: 18572.91 toks/s, output: 3096.07 toks/s]
Processed prompts:  89%|████████▉ | 457/512 [00:13<00:01, 39.20it/s, est. speed input: 18569.30 toks/s, output: 3092.32 toks/s]
Processed prompts:  91%|█████████ | 465/512 [00:13<00:01, 41.07it/s, est. speed input: 18655.12 toks/s, output: 3094.24 toks/s]
Processed prompts:  92%|█████████▏| 473/512 [00:13<00:00, 45.64it/s, est. speed input: 18773.79 toks/s, output: 3103.08 toks/s]
Processed prompts:  93%|█████████▎| 478/512 [00:13<00:00, 44.08it/s, est. speed input: 18799.04 toks/s, output: 3112.32 toks/s]
Processed prompts:  95%|█████████▍| 485/512 [00:13<00:00, 50.12it/s, est. speed input: 18945.64 toks/s, output: 3135.32 toks/s]
Processed prompts:  96%|█████████▌| 491/512 [00:14<00:00, 45.29it/s, est. speed input: 18975.08 toks/s, output: 3140.07 toks/s]
Processed prompts:  97%|█████████▋| 496/512 [00:14<00:00, 38.30it/s, est. speed input: 18924.89 toks/s, output: 3179.17 toks/s]
Processed prompts:  98%|█████████▊| 501/512 [00:14<00:00, 20.77it/s, est. speed input: 18424.80 toks/s, output: 3160.26 toks/s]INFO 08-10 00:40:29 [metrics.py:417] Avg prompt throughput: 13367.6 tokens/s, Avg generation throughput: 3016.3 tokens/s, Running: 8 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 34.9%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:40:29 [metrics.py:433] Prefix cache hit rate: GPU: 86.12%, CPU: 0.00%
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Processed prompts:  99%|█████████▊| 505/512 [00:15<00:00, 15.17it/s, est. speed input: 17983.23 toks/s, output: 3127.30 toks/s]
Processed prompts:  99%|█████████▉| 508/512 [00:16<00:00,  7.10it/s, est. speed input: 16662.60 toks/s, output: 2964.38 toks/s]
Processed prompts: 100%|█████████▉| 510/512 [00:17<00:00,  5.20it/s, est. speed input: 15849.63 toks/s, output: 2868.79 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:18<00:00,  4.39it/s, est. speed input: 15254.84 toks/s, output: 2835.20 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:18<00:00,  4.39it/s, est. speed input: 15254.84 toks/s, output: 2835.20 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:18<00:00, 27.97it/s, est. speed input: 15254.84 toks/s, output: 2835.20 toks/s]
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Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 13163.04it/s]
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Processed prompts:   1%|          | 5/512 [00:00<01:05,  7.75it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 11/512 [00:01<00:42, 11.66it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   3%|▎         | 15/512 [00:01<00:43, 11.32it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   4%|▍         | 21/512 [00:01<00:37, 12.94it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▌         | 27/512 [00:02<00:35, 13.82it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   6%|▋         | 33/512 [00:02<00:33, 14.36it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   8%|▊         | 39/512 [00:02<00:32, 14.76it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▊         | 44/512 [00:03<00:32, 14.21it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  11%|█         | 56/512 [00:04<00:30, 15.10it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts: 100%|██████████| 512/512 [00:34<00:00, 14.87it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
+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]
Adding requests:  16%|█▌        | 20/128 [00:00<00:01, 95.19it/s]
Adding requests:  25%|██▌       | 32/128 [00:00<00:00, 104.62it/s]
Adding requests:  34%|███▎      | 43/128 [00:00<00:00, 96.86it/s] 
Adding requests:  41%|████▏     | 53/128 [00:00<00:00, 97.31it/s]
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:   2%|▏         | 3/128 [00:00<00:23,  5.39it/s, est. speed input: 10137.67 toks/s, output: 19.63 toks/s]
Processed prompts:   4%|▍         | 5/128 [00:00<00:14,  8.37it/s, est. speed input: 14158.22 toks/s, output: 50.24 toks/s]
Processed prompts:   5%|▌         | 7/128 [00:00<00:11, 10.77it/s, est. speed input: 18196.66 toks/s, output: 84.33 toks/s]
Processed prompts:   7%|▋         | 9/128 [00:01<00:09, 12.67it/s, est. speed input: 18862.39 toks/s, output: 122.82 toks/s]
Processed prompts:   9%|▊         | 11/128 [00:01<00:08, 14.14it/s, est. speed input: 21744.74 toks/s, output: 166.31 toks/s]
Processed prompts:  12%|█▎        | 16/128 [00:01<00:06, 17.95it/s, est. speed input: 26485.49 toks/s, output: 276.50 toks/s]
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Processed prompts:  49%|████▉     | 63/128 [00:03<00:03, 21.30it/s, est. speed input: 40212.30 toks/s, output: 1579.70 toks/s]
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%
+
Processed prompts:  97%|█████████▋| 124/128 [00:10<00:01,  2.28it/s, est. speed input: 27054.12 toks/s, output: 2961.37 toks/s]
Processed prompts:  98%|█████████▊| 125/128 [00:10<00:01,  2.82it/s, est. speed input: 27014.57 toks/s, output: 3034.39 toks/s]
Processed prompts:  98%|█████████▊| 126/128 [00:11<00:01,  1.82it/s, est. speed input: 24668.86 toks/s, output: 2853.32 toks/s]
Processed prompts:  99%|█████████▉| 127/128 [00:11<00:00,  2.18it/s, est. speed input: 24392.77 toks/s, output: 2910.63 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:13<00:00,  1.36it/s, est. speed input: 21815.66 toks/s, output: 2707.82 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:13<00:00,  1.36it/s, est. speed input: 21815.66 toks/s, output: 2707.82 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:13<00:00,  9.72it/s, est. speed input: 21815.66 toks/s, output: 2707.82 toks/s]
+
Adding requests:   0%|          | 0/128 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 128/128 [00:00<00:00, 6372.88it/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<00:57,  2.22it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 2/128 [00:00<00:53,  2.34it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   4%|▍         | 5/128 [00:02<00:51,  2.39it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▍         | 6/128 [00:02<00:46,  2.65it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   5%|▌         | 7/128 [00:02<00:41,  2.95it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   6%|▋         | 8/128 [00:03<00:43,  2.75it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   7%|▋         | 9/128 [00:03<00:45,  2.64it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   8%|▊         | 10/128 [00:03<00:46,  2.56it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▊         | 11/128 [00:04<00:46,  2.51it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▉         | 12/128 [00:04<00:45,  2.54it/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 4 completed beams: 10, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 208.13s, length of agg_scores: [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, 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, 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, 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], 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, 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, 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, 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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 [03:29<03:50, 46.05s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests:  12%|█▏        | 59/512 [00:00<00:00, 583.71it/s]
Adding requests:  23%|██▎       | 118/512 [00:00<00:00, 578.03it/s]
Adding requests:  34%|███▍      | 176/512 [00:00<00:00, 563.00it/s]
Adding requests:  46%|████▌     | 233/512 [00:00<00:00, 563.44it/s]
Adding requests:  57%|█████▋    | 291/512 [00:00<00:00, 566.30it/s]
Adding requests:  68%|██████▊   | 348/512 [00:00<00:00, 563.37it/s]
Adding requests:  79%|███████▉  | 405/512 [00:00<00:00, 562.57it/s]
Adding requests:  90%|█████████ | 462/512 [00:00<00:00, 560.55it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 557.81it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:41:08 [metrics.py:417] Avg prompt throughput: 294.4 tokens/s, Avg generation throughput: 53.5 tokens/s, Running: 71 reqs, Swapped: 0 reqs, Pending: 441 reqs, GPU KV cache usage: 55.9%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:41:08 [metrics.py:433] Prefix cache hit rate: GPU: 86.13%, CPU: 0.00%
-
Processed prompts:   0%|          | 1/512 [00:00<05:46,  1.47it/s, est. speed input: 1070.06 toks/s, output: 10.32 toks/s]
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Processed prompts:   9%|▉         | 47/512 [00:01<00:06, 69.27it/s, est. speed input: 25619.59 toks/s, output: 420.72 toks/s]
Processed prompts:  12%|█▎        | 64/512 [00:01<00:05, 80.41it/s, est. speed input: 29773.59 toks/s, output: 545.49 toks/s]
Processed prompts:  22%|██▏       | 112/512 [00:01<00:02, 143.90it/s, est. speed input: 44568.72 toks/s, output: 996.05 toks/s]
Processed prompts:  27%|██▋       | 138/512 [00:01<00:02, 162.25it/s, est. speed input: 50396.80 toks/s, output: 1218.08 toks/s]
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Processed prompts:  47%|████▋     | 242/512 [00:02<00:01, 137.83it/s, est. speed input: 57939.01 toks/s, output: 1522.14 toks/s]
Processed prompts:  50%|█████     | 257/512 [00:02<00:02, 110.11it/s, est. speed input: 56246.57 toks/s, output: 1546.35 toks/s]
Processed prompts:  53%|█████▎    | 270/512 [00:02<00:02, 110.94it/s, est. speed input: 56774.21 toks/s, output: 1622.80 toks/s]
Processed prompts:  55%|█████▌    | 284/512 [00:02<00:01, 115.45it/s, est. speed input: 57928.86 toks/s, output: 1771.03 toks/s]
Processed prompts:  58%|█████▊    | 297/512 [00:02<00:01, 116.64it/s, est. speed input: 58737.00 toks/s, output: 1871.22 toks/s]
Processed prompts:  63%|██████▎   | 323/512 [00:03<00:01, 147.20it/s, est. speed input: 61331.39 toks/s, output: 2237.66 toks/s]
Processed prompts:  67%|██████▋   | 342/512 [00:03<00:01, 140.64it/s, est. speed input: 61823.32 toks/s, output: 2415.73 toks/s]
Processed prompts:  70%|███████   | 360/512 [00:03<00:01, 150.36it/s, est. speed input: 63244.85 toks/s, output: 2561.20 toks/s]
Processed prompts:  78%|███████▊  | 397/512 [00:03<00:00, 204.77it/s, est. speed input: 67185.36 toks/s, output: 2952.63 toks/s]
Processed prompts:  84%|████████▍ | 431/512 [00:03<00:00, 235.78it/s, est. speed input: 70480.59 toks/s, output: 3393.81 toks/s]
Processed prompts:  89%|████████▉ | 456/512 [00:03<00:00, 205.09it/s, est. speed input: 71138.69 toks/s, output: 3645.18 toks/s]
Processed prompts:  93%|█████████▎| 478/512 [00:03<00:00, 167.43it/s, est. speed input: 70688.06 toks/s, output: 3845.79 toks/s]
Processed prompts:  97%|█████████▋| 497/512 [00:04<00:00, 86.10it/s, est. speed input: 64443.58 toks/s, output: 3831.02 toks/s] INFO 08-10 00:41:13 [metrics.py:417] Avg prompt throughput: 56854.3 tokens/s, Avg generation throughput: 4017.2 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 7.9%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:41:13 [metrics.py:433] Prefix cache hit rate: GPU: 88.42%, CPU: 0.00%
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Processed prompts: 100%|█████████▉| 511/512 [00:05<00:00, 49.69it/s, est. speed input: 57195.78 toks/s, output: 3839.84 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:05<00:00, 49.69it/s, est. speed input: 56097.74 toks/s, output: 3815.69 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:05<00:00, 97.00it/s, est. speed input: 56097.74 toks/s, output: 3815.69 toks/s]
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Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 13642.53it/s]
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Processed prompts:   0%|          | 1/512 [00:00<02:20,  3.65it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   1%|          | 5/512 [00:00<01:00,  8.39it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 11/512 [00:01<00:40, 12.37it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   3%|▎         | 17/512 [00:01<00:35, 13.93it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  95%|█████████▍| 484/512 [00:31<00:01, 14.36it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:  97%|█████████▋| 496/512 [00:32<00:01, 15.34it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  98%|█████████▊| 501/512 [00:32<00:00, 14.75it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  99%|█████████▉| 507/512 [00:33<00:00, 15.04it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:33<00:00, 15.04it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:33<00:00, 15.35it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
+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%
+
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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]
+
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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]
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Processed prompts:   5%|▍         | 6/128 [00:02<00:50,  2.40it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   6%|▋         | 8/128 [00:03<00:49,  2.41it/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: 10, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 248.39s, length of agg_scores: [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, 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, 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, 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], 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, 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, 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, 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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 [04:09<02:56, 44.15s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests:  10%|█         | 52/512 [00:00<00:00, 513.34it/s]
Adding requests:  21%|██        | 107/512 [00:00<00:00, 528.97it/s]
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Adding requests:  42%|████▏     | 217/512 [00:00<00:00, 541.15it/s]
Adding requests:  53%|███���█▎    | 272/512 [00:00<00:00, 543.19it/s]
Adding requests:  64%|██████▍   | 327/512 [00:00<00:00, 543.49it/s]
Adding requests:  75%|███████▍  | 383/512 [00:00<00:00, 545.27it/s]
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Adding requests:  96%|█████████▋| 494/512 [00:00<00:00, 543.81it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 540.76it/s]
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Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:41:49 [metrics.py:417] Avg prompt throughput: 443.7 tokens/s, Avg generation throughput: 1.3 tokens/s, Running: 195 reqs, Swapped: 0 reqs, Pending: 317 reqs, GPU KV cache usage: 68.8%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:41:49 [metrics.py:433] Prefix cache hit rate: GPU: 89.23%, CPU: 0.00%
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Processed prompts:   9%|▉         | 46/512 [00:01<00:08, 53.25it/s, est. speed input: 30094.57 toks/s, output: 460.87 toks/s]
Processed prompts:  19%|█▉        | 97/512 [00:01<00:03, 114.25it/s, est. speed input: 53088.24 toks/s, output: 1015.54 toks/s]
Processed prompts:  22%|██▏       | 114/512 [00:01<00:04, 87.53it/s, est. speed input: 49398.29 toks/s, output: 928.98 toks/s] 
Processed prompts:  25%|██▍       | 127/512 [00:01<00:05, 68.73it/s, est. speed input: 45160.44 toks/s, output: 859.95 toks/s]
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Processed prompts:  49%|████▉     | 253/512 [00:03<00:03, 81.42it/s, est. speed input: 60333.69 toks/s, output: 1704.40 toks/s] 
Processed prompts:  57%|█████▋    | 293/512 [00:03<00:01, 111.84it/s, est. speed input: 66594.64 toks/s, output: 1931.11 toks/s]
Processed prompts:  61%|██████    | 311/512 [00:03<00:01, 108.79it/s, est. speed input: 66623.12 toks/s, output: 1948.38 toks/s]
Processed prompts:  64%|██████▍   | 327/512 [00:03<00:01, 106.58it/s, est. speed input: 66597.48 toks/s, output: 2019.82 toks/s]
Processed prompts:  75%|███████▍  | 382/512 [00:03<00:00, 173.62it/s, est. speed input: 74590.31 toks/s, output: 2700.56 toks/s]
Processed prompts:  83%|████████▎ | 423/512 [00:03<00:00, 213.32it/s, est. speed input: 79032.09 toks/s, output: 3289.28 toks/s]
Processed prompts:  88%|████████▊ | 451/512 [00:03<00:00, 195.39it/s, est. speed input: 79406.34 toks/s, output: 3608.77 toks/s]
Processed prompts:  93%|█████████▎| 476/512 [00:04<00:00, 186.15it/s, est. speed input: 79782.83 toks/s, output: 3931.57 toks/s]
Processed prompts:  97%|█████████▋| 498/512 [00:04<00:00, 145.51it/s, est. speed input: 77873.50 toks/s, output: 4142.86 toks/s]INFO 08-10 00:41:54 [metrics.py:417] Avg prompt throughput: 66837.9 tokens/s, Avg generation throughput: 4197.3 tokens/s, Running: 5 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 22.0%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:41:54 [metrics.py:433] Prefix cache hit rate: GPU: 90.55%, CPU: 0.00%
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Processed prompts: 100%|██████████| 512/512 [00:07<00:00, 145.51it/s, est. speed input: 47958.96 toks/s, output: 3004.59 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:07<00:00, 70.16it/s, est. speed input: 47958.96 toks/s, output: 3004.59 toks/s] 
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Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 13543.49it/s]
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+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]
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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%
+
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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%
+
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Processed prompts:  64%|██████▍   | 82/128 [00:05<00:03, 13.21it/s, est. speed input: 41184.20 toks/s, output: 1939.64 toks/s]
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Processed prompts:  68%|██████▊   | 87/128 [00:06<00:03, 11.18it/s, est. speed input: 39798.26 toks/s, output: 2057.62 toks/s]
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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]
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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]
Processed prompts:  99%|█████████▉| 127/128 [00:11<00:00,  3.37it/s, est. speed input: 32363.02 toks/s, output: 3214.72 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:11<00:00,  3.81it/s, est. speed input: 32168.84 toks/s, output: 3267.98 toks/s]
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Processed prompts: 100%|██████████| 128/128 [00:11<00:00, 11.23it/s, est. speed input: 32168.84 toks/s, output: 3267.98 toks/s]
+
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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 INFO:search.beam_search:----------------------------------------------------------------------------------------------------
-INFO:search.beam_search:Iteration 6 completed beams: 10, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 296.96s, length of agg_scores: [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, 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, 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, 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], 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, 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, 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, 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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 [04:58<02:16, 45.65s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
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Adding requests: 100%|██████████| 512/512 [00:01<00:00, 445.80it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:42:38 [metrics.py:417] Avg prompt throughput: 829.5 tokens/s, Avg generation throughput: 21.9 tokens/s, Running: 256 reqs, Swapped: 0 reqs, Pending: 256 reqs, GPU KV cache usage: 64.5%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:42:38 [metrics.py:433] Prefix cache hit rate: GPU: 91.43%, CPU: 0.00%
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-INFO:search.beam_search:----------------------------------------------------------------------------------------------------
-INFO:search.beam_search:Iteration 7 completed beams: 10, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 347.05s, length of agg_scores: [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], num_steps: [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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:  80%|████████  | 8/10 [05:48<01:34, 47.13s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
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Adding requests:  17%|█▋        | 89/512 [00:00<00:00, 440.54it/s]
Adding requests:  27%|██▋       | 136/512 [00:00<00:00, 452.89it/s]
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Adding requests:  80%|████████  | 412/512 [00:00<00:00, 450.16it/s]
Adding requests:  89%|███���████▉ | 458/512 [00:01<00:00, 450.49it/s]
Adding requests:  98%|█████████▊| 504/512 [00:01<00:00, 448.07it/s]
Adding requests: 100%|██████████| 512/512 [00:01<00:00, 448.09it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:43:28 [metrics.py:417] Avg prompt throughput: 11440.7 tokens/s, Avg generation throughput: 340.5 tokens/s, Running: 256 reqs, Swapped: 0 reqs, Pending: 256 reqs, GPU KV cache usage: 76.8%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:43:28 [metrics.py:433] Prefix cache hit rate: GPU: 92.89%, CPU: 0.00%
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Adding requests: 100%|██████████| 512/512 [00:00<00:00, 13609.76it/s]
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-INFO:search.beam_search:----------------------------------------------------------------------------------------------------
-INFO:search.beam_search:Iteration 8 completed beams: 10, skipped beams: 0, extended beams: 0, verifier beams: 0, total latency: 401.14s, length of agg_scores: [9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9], num_steps: [9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9], 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', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\n\n', '\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:  90%|█████████ | 9/10 [06:43<00:49, 49.37s/it]
Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests:   8%|▊         | 42/512 [00:00<00:01, 416.64it/s]
Adding requests:  17%|█▋        | 85/512 [00:00<00:01, 420.90it/s]
Adding requests:  26%|██▌       | 131/512 [00:00<00:00, 434.88it/s]
Adding requests:  35%|███▍      | 178/512 [00:00<00:00, 446.37it/s]
Adding requests:  44%|████▎     | 223/512 [00:00<00:00, 445.56it/s]
Adding requests:  53%|█████▎    | 270/512 [00:00<00:00, 453.27it/s]
Adding requests:  62%|██████▏   | 317/512 [00:00<00:00, 458.07it/s]
Adding requests:  71%|███████▏  | 365/512 [00:00<00:00, 460.69it/s]
Adding requests:  80%|████████  | 412/512 [00:00<00:00, 460.67it/s]
Adding requests:  90%|████████▉ | 460/512 [00:01<00:00, 463.91it/s]
Adding requests:  99%|█████████▉| 508/512 [00:01<00:00, 468.12it/s]
Adding requests: 100%|██████████| 512/512 [00:01<00:00, 455.94it/s]
-
Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-10 00:44:22 [metrics.py:417] Avg prompt throughput: 5699.0 tokens/s, Avg generation throughput: 356.1 tokens/s, Running: 256 reqs, Swapped: 0 reqs, Pending: 256 reqs, GPU KV cache usage: 66.9%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:44:22 [metrics.py:433] Prefix cache hit rate: GPU: 93.92%, CPU: 0.00%
-WARNING 08-10 00:44:24 [scheduler.py:1834] Sequence group 4863 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=401
-WARNING 08-10 00:44:24 [scheduler.py:1834] Sequence group 4813 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=451
-WARNING 08-10 00:44:25 [scheduler.py:1834] Sequence group 4763 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=501
-WARNING 08-10 00:44:25 [scheduler.py:1834] Sequence group 4713 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=551
-WARNING 08-10 00:44:26 [scheduler.py:1834] Sequence group 4663 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=601
-INFO 08-10 00:44:27 [metrics.py:417] Avg prompt throughput: 26208.1 tokens/s, Avg generation throughput: 5461.3 tokens/s, Running: 36 reqs, Swapped: 0 reqs, Pending: 476 reqs, GPU KV cache usage: 99.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:44:27 [metrics.py:433] Prefix cache hit rate: GPU: 93.92%, CPU: 0.00%
-
Processed prompts:   0%|          | 1/512 [00:06<56:54,  6.68s/it, est. speed input: 134.38 toks/s, output: 63.90 toks/s]
Processed prompts:   0%|          | 2/512 [00:07<26:25,  3.11s/it, est. speed input: 249.34 toks/s, output: 127.82 toks/s]
Processed prompts:   1%|          | 3/512 [00:07<16:21,  1.93s/it, est. speed input: 349.50 toks/s, output: 192.09 toks/s]
Processed prompts:   1%|          | 5/512 [00:08<08:08,  1.04it/s, est. speed input: 523.22 toks/s, output: 326.23 toks/s]
Processed prompts:   1%|          | 6/512 [00:08<06:02,  1.40it/s, est. speed input: 625.82 toks/s, output: 398.56 toks/s]
Processed prompts:   2%|▏         | 8/512 [00:08<03:59,  2.11it/s, est. speed input: 808.38 toks/s, output: 533.95 toks/s]
Processed prompts:   2%|▏         | 10/512 [00:08<02:44,  3.05it/s, est. speed input: 968.47 toks/s, output: 678.42 toks/s]
Processed prompts:   2%|▏         | 11/512 [00:09<02:56,  2.84it/s, est. speed input: 1018.25 toks/s, output: 728.39 toks/s]
Processed prompts:   3%|▎         | 13/512 [00:09<01:57,  4.23it/s, est. speed input: 1198.49 toks/s, output: 865.89 toks/s]
Processed prompts:   3%|▎         | 15/512 [00:09<01:24,  5.86it/s, est. speed input: 1373.66 toks/s, output: 1020.08 toks/s]
Processed prompts:   3%|▎         | 17/512 [00:09<01:30,  5.49it/s, est. speed input: 1475.03 toks/s, output: 1113.53 toks/s]INFO 08-10 00:44:32 [metrics.py:417] Avg prompt throughput: 3736.9 tokens/s, Avg generation throughput: 2525.9 tokens/s, Running: 17 reqs, Swapped: 0 reqs, Pending: 477 reqs, GPU KV cache usage: 94.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:44:32 [metrics.py:433] Prefix cache hit rate: GPU: 93.74%, CPU: 0.00%
-
Processed prompts:   4%|▎         | 19/512 [00:10<01:32,  5.34it/s, est. speed input: 1592.30 toks/s, output: 1189.74 toks/s]
Processed prompts:   4%|▍         | 20/512 [00:10<01:40,  4.90it/s, est. speed input: 1635.54 toks/s, output: 1244.98 toks/s]
Processed prompts:   4%|▍         | 21/512 [00:11<02:40,  3.06it/s, est. speed input: 1601.85 toks/s, output: 1249.23 toks/s]
Processed prompts:   5%|▍         | 24/512 [00:11<01:37,  4.99it/s, est. speed input: 1792.44 toks/s, output: 1444.57 toks/s]
Processed prompts:   5%|▍         | 25/512 [00:11<01:36,  5.07it/s, est. speed input: 1839.59 toks/s, output: 1510.43 toks/s]
Processed prompts:   5%|▌         | 26/512 [00:12<01:41,  4.79it/s, est. speed input: 1875.39 toks/s, output: 1569.27 toks/s]
Processed prompts:   5%|▌         | 27/512 [00:12<01:48,  4.48it/s, est. speed input: 1907.94 toks/s, output: 1603.33 toks/s]
Processed prompts:   5%|▌         | 28/512 [00:12<01:47,  4.49it/s, est. speed input: 1947.35 toks/s, output: 1633.02 toks/s]
Processed prompts:   6%|▌         | 30/512 [00:12<01:15,  6.39it/s, est. speed input: 2070.85 toks/s, output: 1744.48 toks/s]
Processed prompts:   6%|▌         | 31/512 [00:13<01:48,  4.45it/s, est. speed input: 2067.41 toks/s, output: 1742.15 toks/s]
Processed prompts:   6%|▋         | 32/512 [00:13<01:55,  4.16it/s, est. speed input: 2090.94 toks/s, output: 1763.10 toks/s]
Processed prompts:   6%|▋         | 33/512 [00:13<02:03,  3.87it/s, est. speed input: 2110.47 toks/s, output: 1777.26 toks/s]
Processed prompts:   7%|▋         | 34/512 [00:14<02:41,  2.96it/s, est. speed input: 2091.92 toks/s, output: 1770.34 toks/s]
Processed prompts:   7%|▋         | 35/512 [00:14<02:11,  3.63it/s, est. speed input: 2138.78 toks/s, output: 1812.54 toks/s]
Processed prompts:   7%|▋         | 37/512 [00:14<01:31,  5.17it/s, est. speed input: 2220.30 toks/s, output: 1861.04 toks/s]
Processed prompts:   7%|▋         | 38/512 [00:14<01:48,  4.35it/s, est. speed input: 2214.61 toks/s, output: 1849.52 toks/s]
Processed prompts:   8%|▊         | 39/512 [00:15<01:45,  4.46it/s, est. speed input: 2243.25 toks/s, output: 1880.44 toks/s]INFO 08-10 00:44:37 [metrics.py:417] Avg prompt throughput: 5901.3 tokens/s, Avg generation throughput: 2385.6 tokens/s, Running: 18 reqs, Swapped: 0 reqs, Pending: 455 reqs, GPU KV cache usage: 95.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:44:37 [metrics.py:433] Prefix cache hit rate: GPU: 93.52%, CPU: 0.00%
-
Processed prompts:   8%|▊         | 40/512 [00:15<01:47,  4.37it/s, est. speed input: 2252.36 toks/s, output: 1892.92 toks/s]
Processed prompts:   8%|▊         | 41/512 [00:15<01:32,  5.06it/s, est. speed input: 2292.57 toks/s, output: 1924.57 toks/s]
Processed prompts:   8%|▊         | 42/512 [00:15<01:40,  4.68it/s, est. speed input: 2312.77 toks/s, output: 1946.09 toks/s]
Processed prompts:   8%|▊         | 43/512 [00:15<01:26,  5.43it/s, est. speed input: 2354.27 toks/s, output: 1977.79 toks/s]
Processed prompts:   9%|▊         | 44/512 [00:15<01:17,  6.01it/s, est. speed input: 2394.48 toks/s, output: 2004.82 toks/s]
Processed prompts:   9%|▉         | 46/512 [00:16<01:21,  5.69it/s, est. speed input: 2436.32 toks/s, output: 2052.71 toks/s]
Processed prompts:   9%|▉         | 47/512 [00:16<01:14,  6.24it/s, est. speed input: 2475.21 toks/s, output: 2079.08 toks/s]
Processed prompts:   9%|▉         | 48/512 [00:16<01:30,  5.14it/s, est. speed input: 2485.75 toks/s, output: 2088.96 toks/s]
Processed prompts:  10%|▉         | 49/512 [00:17<01:50,  4.18it/s, est. speed input: 2487.32 toks/s, output: 2098.64 toks/s]
Processed prompts:  10%|▉         | 51/512 [00:17<01:36,  4.78it/s, est. speed input: 2530.22 toks/s, output: 2145.62 toks/s]
Processed prompts:  10%|█         | 53/512 [00:17<01:21,  5.61it/s, est. speed input: 2596.87 toks/s, output: 2153.67 toks/s]
Processed prompts:  11%|█         | 54/512 [00:18<01:37,  4.72it/s, est. speed input: 2598.17 toks/s, output: 2169.07 toks/s]
Processed prompts:  11%|█         | 55/512 [00:18<02:02,  3.74it/s, est. speed input: 2583.34 toks/s, output: 2150.42 toks/s]
Processed prompts:  11%|█         | 56/512 [00:18<01:44,  4.36it/s, est. speed input: 2616.46 toks/s, output: 2183.56 toks/s]
Processed prompts:  11%|█         | 57/512 [00:18<01:58,  3.85it/s, est. speed input: 2605.05 toks/s, output: 2178.31 toks/s]
Processed prompts:  11%|█▏        | 58/512 [00:19<01:38,  4.60it/s, est. speed input: 2638.45 toks/s, output: 2193.47 toks/s]
Processed prompts:  12%|█▏        | 59/512 [00:19<01:31,  4.94it/s, est. speed input: 2663.91 toks/s, output: 2201.20 toks/s]
Processed prompts:  12%|█▏        | 60/512 [00:19<01:23,  5.44it/s, est. speed input: 2691.19 toks/s, output: 2215.07 toks/s]
Processed prompts:  12%|█▏        | 61/512 [00:19<01:54,  3.95it/s, est. speed input: 2679.88 toks/s, output: 2208.37 toks/s]
Processed prompts:  12%|█▏        | 62/512 [00:20<01:51,  4.02it/s, est. speed input: 2682.13 toks/s, output: 2212.61 toks/s]
Processed prompts:  12%|█▏        | 63/512 [00:20<01:43,  4.34it/s, est. speed input: 2702.63 toks/s, output: 2220.13 toks/s]INFO 08-10 00:44:42 [metrics.py:417] Avg prompt throughput: 6012.8 tokens/s, Avg generation throughput: 2756.6 tokens/s, Running: 17 reqs, Swapped: 0 reqs, Pending: 432 reqs, GPU KV cache usage: 93.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:44:42 [metrics.py:433] Prefix cache hit rate: GPU: 93.39%, CPU: 0.00%
-
Processed prompts:  12%|█▎        | 64/512 [00:20<01:28,  5.08it/s, est. speed input: 2720.64 toks/s, output: 2240.55 toks/s]
Processed prompts:  13%|█▎        | 65/512 [00:20<01:35,  4.68it/s, est. speed input: 2720.35 toks/s, output: 2238.82 toks/s]
Processed prompts:  13%|█▎        | 67/512 [00:20<01:22,  5.39it/s, est. speed input: 2766.77 toks/s, output: 2277.73 toks/s]
Processed prompts:  13%|█▎        | 69/512 [00:21<01:00,  7.27it/s, est. speed input: 2835.47 toks/s, output: 2334.76 toks/s]
Processed prompts:  14%|█▍        | 71/512 [00:21<00:56,  7.78it/s, est. speed input: 2890.85 toks/s, output: 2373.56 toks/s]WARNING 08-10 00:44:44 [scheduler.py:1834] Sequence group 4707 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=651
-
Processed prompts:  14%|█▍        | 72/512 [00:21<01:47,  4.08it/s, est. speed input: 2839.88 toks/s, output: 2336.13 toks/s]
Processed prompts:  14%|█▍        | 74/512 [00:22<01:56,  3.78it/s, est. speed input: 2843.81 toks/s, output: 2346.18 toks/s]
Processed prompts:  15%|█▍        | 76/512 [00:22<01:33,  4.66it/s, est. speed input: 2893.40 toks/s, output: 2385.83 toks/s]
Processed prompts:  15%|█▌        | 77/512 [00:22<01:31,  4.74it/s, est. speed input: 2907.60 toks/s, output: 2379.50 toks/s]
Processed prompts:  15%|█▌        | 78/512 [00:23<02:17,  3.15it/s, est. speed input: 2860.94 toks/s, output: 2351.61 toks/s]
Processed prompts:  16%|█▌        | 81/512 [00:23<01:27,  4.94it/s, est. speed input: 2937.13 toks/s, output: 2433.35 toks/s]
Processed prompts:  16%|█▌        | 82/512 [00:24<01:20,  5.37it/s, est. speed input: 2960.83 toks/s, output: 2441.11 toks/s]
Processed prompts:  16%|█▌        | 83/512 [00:24<01:14,  5.80it/s, est. speed input: 2982.83 toks/s, output: 2448.90 toks/s]
Processed prompts:  16%|█▋        | 84/512 [00:24<01:39,  4.32it/s, est. speed input: 2958.83 toks/s, output: 2429.47 toks/s]
Processed prompts:  17%|█▋        | 85/512 [00:24<01:44,  4.08it/s, est. speed input: 2952.84 toks/s, output: 2427.19 toks/s]
Processed prompts:  17%|█▋        | 87/512 [00:25<01:27,  4.87it/s, est. speed input: 2981.15 toks/s, output: 2459.56 toks/s]INFO 08-10 00:44:47 [metrics.py:417] Avg prompt throughput: 9708.0 tokens/s, Avg generation throughput: 2795.9 tokens/s, Running: 23 reqs, Swapped: 0 reqs, Pending: 401 reqs, GPU KV cache usage: 92.1%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:44:47 [metrics.py:433] Prefix cache hit rate: GPU: 93.22%, CPU: 0.00%
-
Processed prompts:  17%|█▋        | 88/512 [00:25<01:21,  5.18it/s, est. speed input: 2990.32 toks/s, output: 2469.48 toks/s]
Processed prompts:  17%|█▋        | 89/512 [00:25<01:18,  5.41it/s, est. speed input: 2998.48 toks/s, output: 2478.43 toks/s]
Processed prompts:  18%|█▊        | 91/512 [00:25<01:22,  5.08it/s, est. speed input: 3019.47 toks/s, output: 2492.82 toks/s]
Processed prompts:  18%|█▊        | 92/512 [00:26<01:20,  5.20it/s, est. speed input: 3034.24 toks/s, output: 2501.81 toks/s]
Processed prompts:  18%|█▊        | 93/512 [00:26<01:14,  5.64it/s, est. speed input: 3053.25 toks/s, output: 2519.73 toks/s]
Processed prompts:  18%|█▊        | 94/512 [00:26<01:09,  6.03it/s, est. speed input: 3072.54 toks/s, output: 2531.66 toks/s]
Processed prompts:  19%|█▊        | 95/512 [00:26<01:17,  5.36it/s, est. speed input: 3078.24 toks/s, output: 2540.29 toks/s]
Processed prompts:  19%|█▉        | 96/512 [00:26<01:35,  4.37it/s, est. speed input: 3073.05 toks/s, output: 2532.62 toks/s]
Processed prompts:  19%|█▉        | 97/512 [00:27<01:51,  3.72it/s, est. speed input: 3065.26 toks/s, output: 2529.60 toks/s]
Processed prompts:  19%|█▉        | 99/512 [00:28<02:25,  2.84it/s, est. speed input: 3023.31 toks/s, output: 2486.92 toks/s]
Processed prompts:  20%|█▉        | 100/512 [00:28<02:00,  3.41it/s, est. speed input: 3042.87 toks/s, output: 2511.72 toks/s]
Processed prompts:  20%|█▉        | 102/512 [00:28<01:39,  4.14it/s, est. speed input: 3070.80 toks/s, output: 2531.84 toks/s]
Processed prompts:  20%|██        | 103/512 [00:28<01:39,  4.11it/s, est. speed input: 3068.07 toks/s, output: 2531.49 toks/s]
Processed prompts:  20%|██        | 104/512 [00:29<01:34,  4.33it/s, est. speed input: 3078.95 toks/s, output: 2536.43 toks/s]
Processed prompts:  21%|██        | 105/512 [00:29<01:26,  4.72it/s, est. speed input: 3093.01 toks/s, output: 2544.99 toks/s]
Processed prompts:  21%|██        | 106/512 [00:29<01:18,  5.14it/s, est. speed input: 3108.70 toks/s, output: 2560.08 toks/s]INFO 08-10 00:44:52 [metrics.py:417] Avg prompt throughput: 6514.0 tokens/s, Avg generation throughput: 2813.5 tokens/s, Running: 19 reqs, Swapped: 0 reqs, Pending: 386 reqs, GPU KV cache usage: 98.6%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:44:52 [metrics.py:433] Prefix cache hit rate: GPU: 93.11%, CPU: 0.00%
-
Processed prompts:  21%|██        | 108/512 [00:30<02:06,  3.19it/s, est. speed input: 3072.43 toks/s, output: 2532.51 toks/s]
Processed prompts:  22%|██▏       | 111/512 [00:30<01:19,  5.02it/s, est. speed input: 3138.23 toks/s, output: 2582.86 toks/s]
Processed prompts:  22%|██▏       | 113/512 [00:30<01:00,  6.55it/s, est. speed input: 3179.17 toks/s, output: 2619.97 toks/s]
Processed prompts:  22%|██▏       | 115/512 [00:31<01:05,  6.07it/s, est. speed input: 3183.84 toks/s, output: 2633.25 toks/s]
Processed prompts:  23%|██▎       | 116/512 [00:31<01:05,  6.03it/s, est. speed input: 3195.26 toks/s, output: 2649.39 toks/s]
Processed prompts:  23%|██▎       | 118/512 [00:31<00:55,  7.15it/s, est. speed input: 3234.66 toks/s, output: 2666.06 toks/s]
Processed prompts:  23%|██▎       | 119/512 [00:31<00:55,  7.03it/s, est. speed input: 3248.25 toks/s, output: 2672.50 toks/s]
Processed prompts:  23%|██▎       | 120/512 [00:31<01:15,  5.21it/s, est. speed input: 3238.52 toks/s, output: 2665.37 toks/s]
Processed prompts:  24%|██▎       | 121/512 [00:32<01:51,  3.51it/s, est. speed input: 3207.92 toks/s, output: 2628.17 toks/s]
Processed prompts:  24%|██▍       | 122/512 [00:32<01:33,  4.15it/s, est. speed input: 3224.54 toks/s, output: 2654.44 toks/s]
Processed prompts:  24%|██▍       | 123/512 [00:32<01:20,  4.80it/s, est. speed input: 3240.44 toks/s, output: 2655.41 toks/s]
Processed prompts:  24%|██▍       | 125/512 [00:33<01:34,  4.11it/s, est. speed input: 3239.04 toks/s, output: 2639.33 toks/s]
Processed prompts:  25%|██▍       | 126/512 [00:33<01:22,  4.69it/s, est. speed input: 3248.24 toks/s, output: 2645.67 toks/s]
Processed prompts:  25%|██▍       | 127/512 [00:33<01:38,  3.91it/s, est. speed input: 3238.72 toks/s, output: 2629.68 toks/s]
Processed prompts:  25%|██▌       | 128/512 [00:33<01:23,  4.58it/s, est. speed input: 3255.02 toks/s, output: 2638.13 toks/s]
Processed prompts:  25%|██▌       | 130/512 [00:34<01:05,  5.84it/s, est. speed input: 3280.50 toks/s, output: 2658.19 toks/s]WARNING 08-10 00:44:57 [scheduler.py:1834] Sequence group 4761 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=701
-
Processed prompts:  26%|██▌       | 132/512 [00:34<01:13,  5.14it/s, est. speed input: 3281.85 toks/s, output: 2660.87 toks/s]
Processed prompts:  26%|██▌       | 134/512 [00:35<01:18,  4.84it/s, est. speed input: 3284.62 toks/s, output: 2662.39 toks/s]
Processed prompts:  27%|██▋       | 136/512 [00:35<01:02,  6.00it/s, est. speed input: 3319.14 toks/s, output: 2678.40 toks/s]INFO 08-10 00:44:57 [metrics.py:417] Avg prompt throughput: 9435.8 tokens/s, Avg generation throughput: 3032.8 tokens/s, Running: 21 reqs, Swapped: 0 reqs, Pending: 355 reqs, GPU KV cache usage: 94.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:44:57 [metrics.py:433] Prefix cache hit rate: GPU: 92.97%, CPU: 0.00%
-
Processed prompts:  27%|██▋       | 137/512 [00:35<01:17,  4.86it/s, est. speed input: 3310.33 toks/s, output: 2671.58 toks/s]
Processed prompts:  27%|██▋       | 139/512 [00:35<00:57,  6.53it/s, est. speed input: 3350.29 toks/s, output: 2699.90 toks/s]
Processed prompts:  27%|██▋       | 140/512 [00:35<00:59,  6.24it/s, est. speed input: 3357.75 toks/s, output: 2707.09 toks/s]
Processed prompts:  28%|██▊       | 142/512 [00:36<00:51,  7.13it/s, est. speed input: 3387.73 toks/s, output: 2728.96 toks/s]
Processed prompts:  28%|██▊       | 143/512 [00:36<01:28,  4.15it/s, est. speed input: 3354.39 toks/s, output: 2703.35 toks/s]
Processed prompts:  28%|██▊       | 144/512 [00:36<01:24,  4.38it/s, est. speed input: 3362.18 toks/s, output: 2715.84 toks/s]
Processed prompts:  28%|██▊       | 145/512 [00:37<02:04,  2.95it/s, est. speed input: 3326.05 toks/s, output: 2683.20 toks/s]
Processed prompts:  29%|██▊       | 146/512 [00:37<02:06,  2.90it/s, est. speed input: 3318.01 toks/s, output: 2674.12 toks/s]
Processed prompts:  29%|██▉       | 148/512 [00:38<01:39,  3.64it/s, est. speed input: 3334.30 toks/s, output: 2695.39 toks/s]
Processed prompts:  29%|██▉       | 150/512 [00:38<01:27,  4.13it/s, est. speed input: 3348.09 toks/s, output: 2717.80 toks/s]
Processed prompts:  29%|██▉       | 151/512 [00:38<01:21,  4.43it/s, est. speed input: 3357.67 toks/s, output: 2715.49 toks/s]
Processed prompts:  30%|██▉       | 153/512 [00:39<01:10,  5.08it/s, est. speed input: 3372.90 toks/s, output: 2727.70 toks/s]
Processed prompts:  30%|███       | 154/512 [00:39<01:10,  5.10it/s, est. speed input: 3379.46 toks/s, output: 2725.28 toks/s]
Processed prompts:  30%|███       | 155/512 [00:39<01:12,  4.95it/s, est. speed input: 3383.10 toks/s, output: 2728.09 toks/s]
Processed prompts:  31%|███       | 157/512 [00:39<00:58,  6.07it/s, est. speed input: 3404.53 toks/s, output: 2735.74 toks/s]INFO 08-10 00:45:02 [metrics.py:417] Avg prompt throughput: 6973.9 tokens/s, Avg generation throughput: 2747.2 tokens/s, Running: 25 reqs, Swapped: 0 reqs, Pending: 329 reqs, GPU KV cache usage: 99.5%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:02 [metrics.py:433] Prefix cache hit rate: GPU: 92.90%, CPU: 0.00%
-
Processed prompts:  31%|███       | 159/512 [00:40<01:15,  4.68it/s, est. speed input: 3393.56 toks/s, output: 2721.74 toks/s]
Processed prompts:  31%|███▏      | 160/512 [00:40<01:10,  4.97it/s, est. speed input: 3402.90 toks/s, output: 2725.81 toks/s]
Processed prompts:  31%|███▏      | 161/512 [00:40<01:09,  5.08it/s, est. speed input: 3409.77 toks/s, output: 2728.61 toks/s]
Processed prompts:  32%|███▏      | 162/512 [00:40<01:05,  5.33it/s, est. speed input: 3418.32 toks/s, output: 2733.17 toks/s]
Processed prompts:  32%|███▏      | 163/512 [00:41<01:24,  4.11it/s, est. speed input: 3406.89 toks/s, output: 2722.31 toks/s]
Processed prompts:  32%|███▏      | 165/512 [00:41<01:27,  3.98it/s, est. speed input: 3407.50 toks/s, output: 2728.96 toks/s]
Processed prompts:  33%|███▎      | 167/512 [00:42<01:35,  3.60it/s, est. speed input: 3398.69 toks/s, output: 2727.28 toks/s]
Processed prompts:  33%|███▎      | 168/512 [00:42<01:29,  3.83it/s, est. speed input: 3398.93 toks/s, output: 2728.71 toks/s]
Processed prompts:  33%|███▎      | 170/512 [00:42<01:11,  4.76it/s, est. speed input: 3421.49 toks/s, output: 2747.38 toks/s]
Processed prompts:  34%|███▎      | 172/512 [00:43<01:01,  5.51it/s, est. speed input: 3442.96 toks/s, output: 2767.63 toks/s]
Processed prompts:  34%|███▍      | 174/512 [00:43<01:08,  4.92it/s, est. speed input: 3440.64 toks/s, output: 2765.99 toks/s]
Processed prompts:  34%|█��█▍      | 176/512 [00:43<00:53,  6.28it/s, est. speed input: 3466.55 toks/s, output: 2786.46 toks/s]
Processed prompts:  35%|███▍      | 177/512 [00:44<01:21,  4.12it/s, est. speed input: 3434.63 toks/s, output: 2764.36 toks/s]
Processed prompts:  35%|███▍      | 178/512 [00:44<01:31,  3.64it/s, est. speed input: 3424.49 toks/s, output: 2758.06 toks/s]
Processed prompts:  35%|███▍      | 179/512 [00:45<01:26,  3.84it/s, est. speed input: 3423.52 toks/s, output: 2756.88 toks/s]
Processed prompts:  35%|███▌      | 180/512 [00:45<01:24,  3.94it/s, est. speed input: 3425.41 toks/s, output: 2752.42 toks/s]INFO 08-10 00:45:07 [metrics.py:417] Avg prompt throughput: 7684.4 tokens/s, Avg generation throughput: 2958.4 tokens/s, Running: 21 reqs, Swapped: 0 reqs, Pending: 311 reqs, GPU KV cache usage: 95.2%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:07 [metrics.py:433] Prefix cache hit rate: GPU: 92.82%, CPU: 0.00%
-
Processed prompts:  35%|███▌      | 181/512 [00:45<01:16,  4.35it/s, est. speed input: 3433.73 toks/s, output: 2762.18 toks/s]
Processed prompts:  36%|███▌      | 182/512 [00:46<02:04,  2.64it/s, est. speed input: 3395.99 toks/s, output: 2725.22 toks/s]
Processed prompts:  36%|███▌      | 183/512 [00:47<02:50,  1.93it/s, est. speed input: 3352.13 toks/s, output: 2697.25 toks/s]
Processed prompts:  36%|███▌      | 185/512 [00:47<02:10,  2.51it/s, est. speed input: 3354.93 toks/s, output: 2704.64 toks/s]
Processed prompts:  37%|███▋      | 188/512 [00:47<01:16,  4.22it/s, est. speed input: 3397.97 toks/s, output: 2744.10 toks/s]
Processed prompts:  37%|███▋      | 189/512 [00:48<01:24,  3.82it/s, est. speed input: 3385.97 toks/s, output: 2737.34 toks/s]
Processed prompts:  37%|███▋      | 190/512 [00:48<01:23,  3.84it/s, est. speed input: 3386.78 toks/s, output: 2734.60 toks/s]
Processed prompts:  38%|███▊      | 192/512 [00:48<00:59,  5.39it/s, est. speed input: 3415.90 toks/s, output: 2757.54 toks/s]
Processed prompts:  38%|███▊      | 193/512 [00:48<00:55,  5.77it/s, est. speed input: 3420.93 toks/s, output: 2764.35 toks/s]
Processed prompts:  38%|███▊      | 195/512 [00:48<00:56,  5.66it/s, est. speed input: 3432.34 toks/s, output: 2781.02 toks/s]
Processed prompts:  38%|███▊      | 196/512 [00:49<01:05,  4.85it/s, est. speed input: 3428.49 toks/s, output: 2785.18 toks/s]
Processed prompts:  38%|███▊      | 197/512 [00:49<01:05,  4.82it/s, est. speed input: 3432.20 toks/s, output: 2790.28 toks/s]
Processed prompts:  39%|███▊      | 198/512 [00:49<01:09,  4.51it/s, est. speed input: 3432.26 toks/s, output: 2793.14 toks/s]WARNING 08-10 00:45:12 [scheduler.py:1834] Sequence group 4847 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=751
-
Processed prompts:  39%|███▉      | 200/512 [00:50<01:04,  4.81it/s, est. speed input: 3442.71 toks/s, output: 2809.03 toks/s]INFO 08-10 00:45:12 [metrics.py:417] Avg prompt throughput: 9780.5 tokens/s, Avg generation throughput: 2776.7 tokens/s, Running: 38 reqs, Swapped: 0 reqs, Pending: 274 reqs, GPU KV cache usage: 99.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:12 [metrics.py:433] Prefix cache hit rate: GPU: 92.71%, CPU: 0.00%
-
Processed prompts:  39%|███▉      | 201/512 [00:50<01:11,  4.37it/s, est. speed input: 3439.99 toks/s, output: 2811.28 toks/s]
Processed prompts:  39%|███▉      | 202/512 [00:51<01:55,  2.69it/s, est. speed input: 3399.21 toks/s, output: 2778.41 toks/s]
Processed prompts:  40%|███▉      | 203/512 [00:51<01:54,  2.69it/s, est. speed input: 3391.95 toks/s, output: 2765.90 toks/s]
Processed prompts:  40%|███▉      | 204/512 [00:51<01:51,  2.77it/s, est. speed input: 3387.28 toks/s, output: 2760.45 toks/s]
Processed prompts:  40%|████      | 206/512 [00:52<01:12,  4.24it/s, est. speed input: 3412.62 toks/s, output: 2775.37 toks/s]
Processed prompts:  41%|████      | 208/512 [00:52<01:09,  4.35it/s, est. speed input: 3418.33 toks/s, output: 2779.04 toks/s]
Processed prompts:  41%|████      | 210/512 [00:52<01:00,  5.02it/s, est. speed input: 3429.77 toks/s, output: 2785.56 toks/s]
Processed prompts:  41%|████▏     | 212/512 [00:53<00:49,  6.00it/s, est. speed input: 3442.23 toks/s, output: 2798.95 toks/s]
Processed prompts:  42%|████▏     | 213/512 [00:53<00:48,  6.13it/s, est. speed input: 3445.83 toks/s, output: 2803.02 toks/s]
Processed prompts:  42%|████▏     | 214/512 [00:53<00:46,  6.45it/s, est. speed input: 3454.83 toks/s, output: 2810.50 toks/s]
Processed prompts:  42%|████▏     | 215/512 [00:53<00:48,  6.17it/s, est. speed input: 3459.60 toks/s, output: 2812.37 toks/s]
Processed prompts:  43%|████▎     | 218/512 [00:53<00:31,  9.44it/s, est. speed input: 3496.63 toks/s, output: 2843.76 toks/s]
Processed prompts:  43%|████▎     | 220/512 [00:53<00:31,  9.34it/s, est. speed input: 3512.12 toks/s, output: 2849.85 toks/s]
Processed prompts:  43%|████▎     | 222/512 [00:54<00:46,  6.23it/s, est. speed input: 3509.62 toks/s, output: 2846.23 toks/s]
Processed prompts:  44%|████▎     | 223/512 [00:54<00:47,  6.05it/s, est. speed input: 3514.47 toks/s, output: 2849.76 toks/s]
Processed prompts:  44%|████▍     | 224/512 [00:55<01:01,  4.69it/s, est. speed input: 3505.83 toks/s, output: 2842.34 toks/s]INFO 08-10 00:45:17 [metrics.py:417] Avg prompt throughput: 10964.1 tokens/s, Avg generation throughput: 3297.2 tokens/s, Running: 29 reqs, Swapped: 0 reqs, Pending: 259 reqs, GPU KV cache usage: 99.4%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:17 [metrics.py:433] Prefix cache hit rate: GPU: 92.68%, CPU: 0.00%
-WARNING 08-10 00:45:18 [scheduler.py:1834] Sequence group 4856 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=801
-
Processed prompts:  44%|████▍     | 225/512 [00:55<01:45,  2.73it/s, est. speed input: 3466.58 toks/s, output: 2814.27 toks/s]
Processed prompts:  44%|████▍     | 226/512 [00:56<01:29,  3.20it/s, est. speed input: 3473.48 toks/s, output: 2817.16 toks/s]
Processed prompts:  44%|████▍     | 227/512 [00:57<02:17,  2.07it/s, est. speed input: 3430.42 toks/s, output: 2780.24 toks/s]
Processed prompts:  45%|████▍     | 228/512 [00:57<01:54,  2.47it/s, est. speed input: 3434.66 toks/s, output: 2780.57 toks/s]
Processed prompts:  45%|████▍     | 229/512 [00:57<01:35,  2.97it/s, est. speed input: 3436.75 toks/s, output: 2783.93 toks/s]
Processed prompts:  45%|████▍     | 230/512 [00:57<01:16,  3.66it/s, est. speed input: 3445.55 toks/s, output: 2789.63 toks/s]
Processed prompts:  46%|████▌     | 233/512 [00:57<00:46,  5.99it/s, est. speed input: 3474.38 toks/s, output: 2805.36 toks/s]
Processed prompts:  46%|████▌     | 235/512 [00:57<00:38,  7.15it/s, est. speed input: 3495.26 toks/s, output: 2821.41 toks/s]
Processed prompts:  46%|████▌     | 236/512 [00:57<00:36,  7.56it/s, est. speed input: 3504.68 toks/s, output: 2832.32 toks/s]
Processed prompts:  46%|████▋     | 238/512 [00:58<00:32,  8.38it/s, est. speed input: 3524.27 toks/s, output: 2843.80 toks/s]
Processed prompts:  47%|████▋     | 239/512 [00:58<00:36,  7.41it/s, est. speed input: 3528.14 toks/s, output: 2846.02 toks/s]
Processed prompts:  47%|████▋     | 241/512 [00:58<00:31,  8.66it/s, est. speed input: 3545.22 toks/s, output: 2862.83 toks/s]
Processed prompts:  47%|████▋     | 242/512 [00:58<00:37,  7.29it/s, est. speed input: 3543.60 toks/s, output: 2860.88 toks/s]
Processed prompts:  47%|████▋     | 243/512 [00:59<00:51,  5.23it/s, est. speed input: 3532.80 toks/s, output: 2854.66 toks/s]
Processed prompts:  48%|████▊     | 244/512 [00:59<00:51,  5.20it/s, est. speed input: 3536.56 toks/s, output: 2864.84 toks/s]
Processed prompts:  48%|████▊     | 245/512 [00:59<00:54,  4.93it/s, est. speed input: 3538.12 toks/s, output: 2867.69 toks/s]
Processed prompts:  48%|████▊     | 246/512 [00:59<01:08,  3.87it/s, est. speed input: 3528.86 toks/s, output: 2859.48 toks/s]INFO 08-10 00:45:22 [metrics.py:417] Avg prompt throughput: 7855.4 tokens/s, Avg generation throughput: 2917.9 tokens/s, Running: 24 reqs, Swapped: 0 reqs, Pending: 242 reqs, GPU KV cache usage: 97.6%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:22 [metrics.py:433] Prefix cache hit rate: GPU: 92.55%, CPU: 0.00%
-
Processed prompts:  48%|████▊     | 247/512 [01:00<01:36,  2.75it/s, est. speed input: 3507.14 toks/s, output: 2840.86 toks/s]
Processed prompts:  48%|████▊     | 248/512 [01:01<01:57,  2.26it/s, est. speed input: 3484.89 toks/s, output: 2822.30 toks/s]
Processed prompts:  49%|████▊     | 249/512 [01:01<01:39,  2.63it/s, est. speed input: 3483.35 toks/s, output: 2822.66 toks/s]
Processed prompts:  49%|████▉     | 251/512 [01:01<01:10,  3.68it/s, est. speed input: 3493.14 toks/s, output: 2831.01 toks/s]
Processed prompts:  49%|████▉     | 252/512 [01:02<01:08,  3.78it/s, est. speed input: 3494.38 toks/s, output: 2830.52 toks/s]
Processed prompts:  50%|████▉     | 254/512 [01:02<01:01,  4.21it/s, est. speed input: 3501.32 toks/s, output: 2830.41 toks/s]
Processed prompts:  50%|█████     | 256/512 [01:02<01:02,  4.07it/s, est. speed input: 3497.44 toks/s, output: 2834.68 toks/s]
Processed prompts:  50%|█████     | 257/512 [01:03<00:57,  4.42it/s, est. speed input: 3503.56 toks/s, output: 2841.00 toks/s]
Processed prompts:  50%|█████     | 258/512 [01:03<00:53,  4.78it/s, est. speed input: 3509.28 toks/s, output: 2846.14 toks/s]
Processed prompts:  51%|█████     | 259/512 [01:03<00:54,  4.62it/s, est. speed input: 3510.15 toks/s, output: 2846.05 toks/s]
Processed prompts:  51%|█████     | 260/512 [01:04<01:30,  2.79it/s, est. speed input: 3482.69 toks/s, output: 2826.09 toks/s]
Processed prompts:  51%|█████     | 261/512 [01:04<01:37,  2.58it/s, est. speed input: 3471.75 toks/s, output: 2820.27 toks/s]
Processed prompts:  51%|█████     | 262/512 [01:04<01:18,  3.17it/s, est. speed input: 3478.50 toks/s, output: 2822.89 toks/s]
Processed prompts:  52%|█████▏    | 266/512 [01:05<00:38,  6.44it/s, est. speed input: 3522.30 toks/s, output: 2872.49 toks/s]INFO 08-10 00:45:27 [metrics.py:417] Avg prompt throughput: 13862.8 tokens/s, Avg generation throughput: 2564.1 tokens/s, Running: 57 reqs, Swapped: 0 reqs, Pending: 189 reqs, GPU KV cache usage: 99.5%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:27 [metrics.py:433] Prefix cache hit rate: GPU: 92.49%, CPU: 0.00%
-
Processed prompts:  52%|█████▏    | 267/512 [01:05<00:49,  4.99it/s, est. speed input: 3510.86 toks/s, output: 2864.57 toks/s]
Processed prompts:  53%|█████▎    | 269/512 [01:05<00:36,  6.66it/s, est. speed input: 3532.92 toks/s, output: 2884.98 toks/s]WARNING 08-10 00:45:28 [scheduler.py:1834] Sequence group 4961 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=851
-WARNING 08-10 00:45:29 [scheduler.py:1834] Sequence group 4911 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=901
-
Processed prompts:  53%|█████▎    | 271/512 [01:07<01:36,  2.50it/s, est. speed input: 3463.90 toks/s, output: 2837.51 toks/s]
Processed prompts:  53%|█████▎    | 272/512 [01:07<01:26,  2.79it/s, est. speed input: 3468.13 toks/s, output: 2840.84 toks/s]
Processed prompts:  54%|█████▎    | 274/512 [01:08<01:18,  3.03it/s, est. speed input: 3466.26 toks/s, output: 2842.13 toks/s]
Processed prompts:  54%|█████▎    | 275/512 [01:08<01:07,  3.49it/s, est. speed input: 3473.54 toks/s, output: 2842.59 toks/s]
Processed prompts:  54%|█████▍    | 276/512 [01:08<01:03,  3.73it/s, est. speed input: 3476.63 toks/s, output: 2839.42 toks/s]
Processed prompts:  54%|█████▍    | 277/512 [01:09<01:36,  2.44it/s, est. speed input: 3446.60 toks/s, output: 2816.84 toks/s]
Processed prompts:  54%|█████▍    | 278/512 [01:09<01:49,  2.13it/s, est. speed input: 3428.21 toks/s, output: 2800.76 toks/s]
Processed prompts:  54%|█████▍    | 279/512 [01:10<01:36,  2.41it/s, est. speed input: 3427.96 toks/s, output: 2798.46 toks/s]INFO 08-10 00:45:32 [metrics.py:417] Avg prompt throughput: 8653.0 tokens/s, Avg generation throughput: 3371.4 tokens/s, Running: 15 reqs, Swapped: 0 reqs, Pending: 218 reqs, GPU KV cache usage: 91.6%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:32 [metrics.py:433] Prefix cache hit rate: GPU: 92.51%, CPU: 0.00%
-
Processed prompts:  55%|█████▍    | 280/512 [01:10<01:23,  2.77it/s, est. speed input: 3427.31 toks/s, output: 2798.60 toks/s]
Processed prompts:  55%|█████▍    | 281/512 [01:10<01:07,  3.44it/s, est. speed input: 3434.30 toks/s, output: 2805.85 toks/s]
Processed prompts:  55%|█████▌    | 282/512 [01:10<01:07,  3.43it/s, est. speed input: 3432.97 toks/s, output: 2803.71 toks/s]
Processed prompts:  56%|█████▌    | 285/512 [01:11<00:38,  5.92it/s, est. speed input: 3458.16 toks/s, output: 2826.99 toks/s]
Processed prompts:  56%|█████▌    | 286/512 [01:11<00:39,  5.67it/s, est. speed input: 3461.07 toks/s, output: 2828.94 toks/s]
Processed prompts:  56%|█████▋    | 288/512 [01:11<00:34,  6.46it/s, est. speed input: 3474.69 toks/s, output: 2842.34 toks/s]
Processed prompts:  56%|█████▋    | 289/512 [01:11<00:38,  5.73it/s, est. speed input: 3472.14 toks/s, output: 2841.30 toks/s]
Processed prompts:  57%|█████▋    | 290/512 [01:12<00:52,  4.26it/s, est. speed input: 3463.88 toks/s, output: 2835.67 toks/s]
Processed prompts:  57%|█████▋    | 292/512 [01:12<00:37,  5.87it/s, est. speed input: 3482.16 toks/s, output: 2853.59 toks/s]
Processed prompts:  57%|█████▋    | 293/512 [01:12<00:46,  4.69it/s, est. speed input: 3477.43 toks/s, output: 2850.47 toks/s]
Processed prompts:  58%|█████▊    | 296/512 [01:14<01:10,  3.07it/s, est. speed input: 3450.78 toks/s, output: 2833.76 toks/s]
Processed prompts:  58%|█████▊    | 298/512 [01:14<00:55,  3.87it/s, est. speed input: 3461.90 toks/s, output: 2842.83 toks/s]
Processed prompts:  58%|█████▊    | 299/512 [01:14<00:50,  4.24it/s, est. speed input: 3467.57 toks/s, output: 2852.24 toks/s]
Processed prompts:  59%|█████▊    | 300/512 [01:15<01:20,  2.62it/s, est. speed input: 3436.66 toks/s, output: 2820.23 toks/s]INFO 08-10 00:45:37 [metrics.py:417] Avg prompt throughput: 8829.6 tokens/s, Avg generation throughput: 2354.3 tokens/s, Running: 19 reqs, Swapped: 0 reqs, Pending: 192 reqs, GPU KV cache usage: 92.8%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:37 [metrics.py:433] Prefix cache hit rate: GPU: 92.31%, CPU: 0.00%
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Processed prompts:  59%|█████▉    | 302/512 [01:15<01:00,  3.49it/s, est. speed input: 3449.12 toks/s, output: 2831.94 toks/s]
Processed prompts:  59%|█████▉    | 303/512 [01:15<01:02,  3.36it/s, est. speed input: 3442.58 toks/s, output: 2827.68 toks/s]
Processed prompts:  59%|█████▉    | 304/512 [01:16<00:59,  3.52it/s, est. speed input: 3440.80 toks/s, output: 2827.35 toks/s]
Processed prompts:  60%|█████▉    | 305/512 [01:16<00:50,  4.09it/s, est. speed input: 3447.33 toks/s, output: 2832.48 toks/s]
Processed prompts:  60%|█████▉    | 306/512 [01:16<00:43,  4.75it/s, est. speed input: 3454.00 toks/s, output: 2838.38 toks/s]
Processed prompts:  60%|█████▉    | 307/512 [01:16<00:39,  5.20it/s, est. speed input: 3459.47 toks/s, output: 2841.71 toks/s]
Processed prompts:  60%|██████    | 308/512 [01:16<00:41,  4.96it/s, est. speed input: 3461.21 toks/s, output: 2842.69 toks/s]
Processed prompts:  60%|██████    | 309/512 [01:16<00:41,  4.94it/s, est. speed input: 3460.86 toks/s, output: 2845.16 toks/s]
Processed prompts:  61%|██████    | 310/512 [01:17<00:37,  5.44it/s, est. speed input: 3463.51 toks/s, output: 2848.19 toks/s]
Processed prompts:  61%|██████    | 311/512 [01:17<01:15,  2.65it/s, est. speed input: 3437.60 toks/s, output: 2826.73 toks/s]
Processed prompts:  61%|██████    | 313/512 [01:18<00:47,  4.20it/s, est. speed input: 3454.88 toks/s, output: 2834.76 toks/s]
Processed prompts:  61%|██████▏   | 314/512 [01:18<00:53,  3.70it/s, est. speed input: 3450.20 toks/s, output: 2833.72 toks/s]
Processed prompts:  62%|██████▏   | 316/512 [01:18<00:45,  4.29it/s, est. speed input: 3457.38 toks/s, output: 2839.29 toks/s]
Processed prompts:  62%|██████▏   | 317/512 [01:18<00:40,  4.84it/s, est. speed input: 3463.57 toks/s, output: 2847.90 toks/s]
Processed prompts:  62%|██████▏   | 318/512 [01:19<00:35,  5.47it/s, est. speed input: 3470.03 toks/s, output: 2852.25 toks/s]WARNING 08-10 00:45:42 [scheduler.py:1834] Sequence group 4958 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=951
-
Processed prompts:  62%|██████▎   | 320/512 [01:19<00:37,  5.15it/s, est. speed input: 3471.40 toks/s, output: 2855.86 toks/s]
Processed prompts:  63%|██████▎   | 321/512 [01:19<00:37,  5.06it/s, est. speed input: 3473.63 toks/s, output: 2859.84 toks/s]
Processed prompts:  63%|██████▎   | 322/512 [01:19<00:43,  4.33it/s, est. speed input: 3470.57 toks/s, output: 2852.60 toks/s]INFO 08-10 00:45:42 [metrics.py:417] Avg prompt throughput: 9097.2 tokens/s, Avg generation throughput: 2990.4 tokens/s, Running: 26 reqs, Swapped: 0 reqs, Pending: 164 reqs, GPU KV cache usage: 99.8%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:42 [metrics.py:433] Prefix cache hit rate: GPU: 92.24%, CPU: 0.00%
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Processed prompts:  63%|██████▎   | 323/512 [01:20<00:56,  3.33it/s, est. speed input: 3460.26 toks/s, output: 2842.24 toks/s]
Processed prompts:  63%|██████▎   | 325/512 [01:20<00:36,  5.07it/s, est. speed input: 3475.14 toks/s, output: 2851.93 toks/s]
Processed prompts:  64%|██████▎   | 326/512 [01:21<00:49,  3.74it/s, est. speed input: 3464.76 toks/s, output: 2846.73 toks/s]
Processed prompts:  64%|██████▍   | 328/512 [01:21<00:35,  5.18it/s, est. speed input: 3477.48 toks/s, output: 2858.07 toks/s]
Processed prompts:  64%|██████▍   | 329/512 [01:21<00:48,  3.75it/s, est. speed input: 3466.33 toks/s, output: 2847.45 toks/s]
Processed prompts:  64%|██████▍   | 330/512 [01:22<01:11,  2.53it/s, est. speed input: 3441.05 toks/s, output: 2828.14 toks/s]
Processed prompts:  65%|██████▍   | 332/512 [01:22<00:46,  3.87it/s, est. speed input: 3455.07 toks/s, output: 2839.75 toks/s]
Processed prompts:  65%|██████▌   | 333/512 [01:22<00:43,  4.10it/s, est. speed input: 3457.85 toks/s, output: 2843.61 toks/s]
Processed prompts:  65%|██████▌   | 334/512 [01:23<00:41,  4.25it/s, est. speed input: 3460.15 toks/s, output: 2844.27 toks/s]
Processed prompts:  65%|██████▌   | 335/512 [01:23<00:42,  4.13it/s, est. speed input: 3457.68 toks/s, output: 2842.85 toks/s]
Processed prompts:  66%|██████▌   | 336/512 [01:23<00:39,  4.51it/s, est. speed input: 3461.75 toks/s, output: 2848.04 toks/s]
Processed prompts:  66%|██████▌   | 338/512 [01:24<00:44,  3.95it/s, est. speed input: 3456.37 toks/s, output: 2846.20 toks/s]
Processed prompts:  66%|██████▌   | 339/512 [01:24<00:45,  3.81it/s, est. speed input: 3455.01 toks/s, output: 2845.29 toks/s]
Processed prompts:  67%|██████▋   | 342/512 [01:24<00:26,  6.37it/s, est. speed input: 3477.96 toks/s, output: 2865.71 toks/s]
Processed prompts:  67%|██████▋   | 343/512 [01:24<00:34,  4.94it/s, est. speed input: 3472.43 toks/s, output: 2860.98 toks/s]INFO 08-10 00:45:47 [metrics.py:417] Avg prompt throughput: 10749.2 tokens/s, Avg generation throughput: 2919.8 tokens/s, Running: 30 reqs, Swapped: 0 reqs, Pending: 139 reqs, GPU KV cache usage: 99.7%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:47 [metrics.py:433] Prefix cache hit rate: GPU: 92.21%, CPU: 0.00%
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Processed prompts:  67%|██████▋   | 344/512 [01:25<00:57,  2.95it/s, est. speed input: 3449.30 toks/s, output: 2843.12 toks/s]
Processed prompts:  67%|██████▋   | 345/512 [01:26<01:03,  2.61it/s, est. speed input: 3438.99 toks/s, output: 2836.29 toks/s]
Processed prompts:  68%|██████▊   | 346/512 [01:26<00:59,  2.77it/s, est. speed input: 3435.20 toks/s, output: 2833.83 toks/s]
Processed prompts:  68%|██████▊   | 347/512 [01:26<00:48,  3.43it/s, est. speed input: 3441.48 toks/s, output: 2844.89 toks/s]
Processed prompts:  68%|██████▊   | 348/512 [01:26<00:42,  3.89it/s, est. speed input: 3445.26 toks/s, output: 2843.97 toks/s]
Processed prompts:  68%|██████▊   | 349/512 [01:27<00:40,  4.04it/s, est. speed input: 3447.02 toks/s, output: 2847.55 toks/s]WARNING 08-10 00:45:50 [scheduler.py:1834] Sequence group 4978 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=1001
-
Processed prompts:  68%|██████▊   | 350/512 [01:27<00:49,  3.27it/s, est. speed input: 3439.47 toks/s, output: 2843.60 toks/s]
Processed prompts:  69%|██████▉   | 352/512 [01:28<00:54,  2.93it/s, est. speed input: 3427.32 toks/s, output: 2838.72 toks/s]
Processed prompts:  69%|██████▉   | 353/512 [01:28<00:54,  2.94it/s, est. speed input: 3424.61 toks/s, output: 2836.72 toks/s]
Processed prompts:  69%|██████▉   | 355/512 [01:28<00:40,  3.83it/s, est. speed input: 3433.53 toks/s, output: 2842.50 toks/s]
Processed prompts:  70%|██████▉   | 356/512 [01:29<00:43,  3.62it/s, est. speed input: 3428.50 toks/s, output: 2839.29 toks/s]
Processed prompts:  70%|██████▉   | 358/512 [01:29<00:30,  5.03it/s, est. speed input: 3440.28 toks/s, output: 2849.02 toks/s]
Processed prompts:  70%|███████   | 359/512 [01:29<00:29,  5.11it/s, est. speed input: 3443.21 toks/s, output: 2851.39 toks/s]
Processed prompts:  70%|███████   | 360/512 [01:29<00:30,  4.94it/s, est. speed input: 3444.76 toks/s, output: 2852.26 toks/s]INFO 08-10 00:45:52 [metrics.py:417] Avg prompt throughput: 5623.4 tokens/s, Avg generation throughput: 2666.1 tokens/s, Running: 22 reqs, Swapped: 0 reqs, Pending: 130 reqs, GPU KV cache usage: 98.7%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:52 [metrics.py:433] Prefix cache hit rate: GPU: 92.14%, CPU: 0.00%
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Processed prompts:  71%|███████   | 361/512 [01:30<00:54,  2.77it/s, est. speed input: 3423.19 toks/s, output: 2834.26 toks/s]
Processed prompts:  71%|███████   | 364/512 [01:30<00:29,  4.97it/s, est. speed input: 3447.29 toks/s, output: 2861.95 toks/s]
Processed prompts:  71%|███████▏  | 366/512 [01:31<00:30,  4.75it/s, est. speed input: 3450.13 toks/s, output: 2864.25 toks/s]
Processed prompts:  72%|███████▏  | 367/512 [01:31<00:30,  4.77it/s, est. speed input: 3452.22 toks/s, output: 2868.11 toks/s]
Processed prompts:  72%|███████▏  | 368/512 [01:31<00:31,  4.61it/s, est. speed input: 3453.00 toks/s, output: 2869.78 toks/s]
Processed prompts:  72%|███████▏  | 369/512 [01:32<00:38,  3.75it/s, est. speed input: 3446.56 toks/s, output: 2861.10 toks/s]
Processed prompts:  72%|███████▏  | 370/512 [01:32<00:40,  3.48it/s, est. speed input: 3441.00 toks/s, output: 2857.53 toks/s]
Processed prompts:  72%|███████▏  | 371/512 [01:32<00:45,  3.12it/s, est. speed input: 3435.36 toks/s, output: 2854.65 toks/s]
Processed prompts:  73%|███████▎  | 372/512 [01:33<00:59,  2.36it/s, est. speed input: 3419.40 toks/s, output: 2840.92 toks/s]
Processed prompts:  73%|███████▎  | 374/512 [01:33<00:41,  3.36it/s, est. speed input: 3426.49 toks/s, output: 2845.52 toks/s]
Processed prompts:  73%|███████▎  | 375/512 [01:34<00:39,  3.47it/s, est. speed input: 3426.62 toks/s, output: 2847.24 toks/s]
Processed prompts:  73%|███████▎  | 376/512 [01:34<00:39,  3.43it/s, est. speed input: 3425.09 toks/s, output: 2845.04 toks/s]
Processed prompts:  74%|███████▍  | 378/512 [01:34<00:26,  5.03it/s, est. speed input: 3436.68 toks/s, output: 2854.35 toks/s]
Processed prompts:  74%|███████▍  | 379/512 [01:34<00:30,  4.34it/s, est. speed input: 3434.13 toks/s, output: 2852.54 toks/s]
Processed prompts:  74%|███████▍  | 380/512 [01:35<00:33,  3.97it/s, est. speed input: 3432.35 toks/s, output: 2849.81 toks/s]INFO 08-10 00:45:57 [metrics.py:417] Avg prompt throughput: 9868.0 tokens/s, Avg generation throughput: 3159.9 tokens/s, Running: 22 reqs, Swapped: 0 reqs, Pending: 108 reqs, GPU KV cache usage: 93.1%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:45:58 [metrics.py:433] Prefix cache hit rate: GPU: 92.09%, CPU: 0.00%
-
Processed prompts:  75%|███████▍  | 383/512 [01:35<00:22,  5.68it/s, est. speed input: 3447.30 toks/s, output: 2861.76 toks/s]
Processed prompts:  75%|███████▌  | 384/512 [01:35<00:23,  5.53it/s, est. speed input: 3449.46 toks/s, output: 2863.00 toks/s]
Processed prompts:  75%|███████▌  | 386/512 [01:35<00:18,  6.96it/s, est. speed input: 3462.81 toks/s, output: 2871.20 toks/s]WARNING 08-10 00:45:58 [scheduler.py:1834] Sequence group 5027 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=1051
-
Processed prompts:  76%|███████▌  | 388/512 [01:36<00:26,  4.68it/s, est. speed input: 3456.85 toks/s, output: 2866.04 toks/s]
Processed prompts:  76%|███████▋  | 391/512 [01:36<00:20,  5.77it/s, est. speed input: 3469.84 toks/s, output: 2876.34 toks/s]
Processed prompts:  77%|███████▋  | 392/512 [01:37<00:21,  5.69it/s, est. speed input: 3472.38 toks/s, output: 2878.49 toks/s]
Processed prompts:  77%|███████▋  | 393/512 [01:37<00:24,  4.87it/s, est. speed input: 3470.14 toks/s, output: 2872.20 toks/s]
Processed prompts:  77%|███████▋  | 394/512 [01:37<00:30,  3.92it/s, est. speed input: 3463.76 toks/s, output: 2867.54 toks/s]
Processed prompts:  77%|███████▋  | 395/512 [01:38<00:41,  2.84it/s, est. speed input: 3449.29 toks/s, output: 2853.24 toks/s]
Processed prompts:  78%|███████▊  | 397/512 [01:38<00:27,  4.23it/s, est. speed input: 3460.94 toks/s, output: 2862.90 toks/s]
Processed prompts:  78%|███████▊  | 398/512 [01:39<00:29,  3.86it/s, est. speed input: 3458.18 toks/s, output: 2863.65 toks/s]
Processed prompts:  78%|███████▊  | 399/512 [01:39<00:30,  3.70it/s, est. speed input: 3456.56 toks/s, output: 2862.65 toks/s]
Processed prompts:  78%|███████▊  | 400/512 [01:39<00:27,  4.01it/s, est. speed input: 3459.04 toks/s, output: 2864.94 toks/s]
Processed prompts:  79%|███████▊  | 402/512 [01:39<00:19,  5.67it/s, est. speed input: 3471.84 toks/s, output: 2878.03 toks/s]
Processed prompts:  79%|███████▉  | 404/512 [01:39<00:15,  7.17it/s, est. speed input: 3484.61 toks/s, output: 2884.73 toks/s]
Processed prompts:  79%|███████▉  | 405/512 [01:40<00:20,  5.33it/s, est. speed input: 3480.95 toks/s, output: 2881.36 toks/s]INFO 08-10 00:46:03 [metrics.py:417] Avg prompt throughput: 12607.3 tokens/s, Avg generation throughput: 3020.9 tokens/s, Running: 37 reqs, Swapped: 0 reqs, Pending: 69 reqs, GPU KV cache usage: 96.0%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:46:03 [metrics.py:433] Prefix cache hit rate: GPU: 92.03%, CPU: 0.00%
-
Processed prompts:  79%|███████▉  | 407/512 [01:40<00:16,  6.41it/s, est. speed input: 3491.70 toks/s, output: 2888.85 toks/s]
Processed prompts:  80%|███████▉  | 408/512 [01:40<00:24,  4.24it/s, est. speed input: 3480.27 toks/s, output: 2879.72 toks/s]
Processed prompts:  80%|███████▉  | 409/512 [01:41<00:21,  4.88it/s, est. speed input: 3485.55 toks/s, output: 2883.97 toks/s]
Processed prompts:  80%|████████  | 412/512 [01:41<00:12,  8.21it/s, est. speed input: 3506.22 toks/s, output: 2899.82 toks/s]WARNING 08-10 00:46:04 [scheduler.py:1834] Sequence group 5051 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=1101
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Processed prompts:  81%|████████  | 414/512 [01:42<00:27,  3.60it/s, est. speed input: 3482.37 toks/s, output: 2876.85 toks/s]
Processed prompts:  81%|████████  | 415/512 [01:42<00:25,  3.79it/s, est. speed input: 3484.40 toks/s, output: 2878.99 toks/s]
Processed prompts:  81%|████████▏ | 417/512 [01:43<00:32,  2.95it/s, est. speed input: 3469.88 toks/s, output: 2859.77 toks/s]
Processed prompts:  82%|��███████▏ | 418/512 [01:43<00:27,  3.40it/s, est. speed input: 3474.77 toks/s, output: 2864.90 toks/s]
Processed prompts:  82%|████████▏ | 420/512 [01:43<00:19,  4.70it/s, est. speed input: 3487.53 toks/s, output: 2878.55 toks/s]
Processed prompts:  82%|████████▏ | 421/512 [01:44<00:21,  4.20it/s, est. speed input: 3484.96 toks/s, output: 2875.41 toks/s]
Processed prompts:  83%|████████▎ | 423/512 [01:44<00:17,  5.16it/s, est. speed input: 3494.49 toks/s, output: 2880.95 toks/s]
Processed prompts:  83%|████████▎ | 425/512 [01:44<00:16,  5.41it/s, est. speed input: 3500.70 toks/s, output: 2884.38 toks/s]
Processed prompts:  83%|████████▎ | 427/512 [01:45<00:14,  5.86it/s, est. speed input: 3506.23 toks/s, output: 2889.68 toks/s]
Processed prompts:  84%|████████▎ | 428/512 [01:45<00:14,  5.80it/s, est. speed input: 3506.72 toks/s, output: 2891.18 toks/s]
Processed prompts:  84%|████████▍ | 429/512 [01:45<00:13,  6.33it/s, est. speed input: 3511.90 toks/s, output: 2894.35 toks/s]INFO 08-10 00:46:08 [metrics.py:417] Avg prompt throughput: 10989.5 tokens/s, Avg generation throughput: 3180.4 tokens/s, Running: 33 reqs, Swapped: 0 reqs, Pending: 50 reqs, GPU KV cache usage: 94.6%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:46:08 [metrics.py:433] Prefix cache hit rate: GPU: 91.97%, CPU: 0.00%
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Processed prompts:  84%|████████▍ | 430/512 [01:45<00:12,  6.63it/s, est. speed input: 3516.31 toks/s, output: 2895.37 toks/s]
Processed prompts:  84%|████████▍ | 431/512 [01:45<00:13,  5.89it/s, est. speed input: 3517.32 toks/s, output: 2895.57 toks/s]
Processed prompts:  85%|████████▍ | 433/512 [01:45<00:11,  6.63it/s, est. speed input: 3521.91 toks/s, output: 2901.55 toks/s]
Processed prompts:  85%|████████▍ | 435/512 [01:46<00:14,  5.48it/s, est. speed input: 3523.23 toks/s, output: 2901.72 toks/s]
Processed prompts:  85%|████████▌ | 436/512 [01:47<00:21,  3.54it/s, est. speed input: 3509.91 toks/s, output: 2891.48 toks/s]
Processed prompts:  85%|████████▌ | 437/512 [01:47<00:18,  4.15it/s, est. speed input: 3512.91 toks/s, output: 2895.71 toks/s]
Processed prompts:  86%|████████▌ | 438/512 [01:47<00:15,  4.77it/s, est. speed input: 3517.50 toks/s, output: 2896.08 toks/s]
Processed prompts:  86%|████████▌ | 439/512 [01:47<00:17,  4.14it/s, est. speed input: 3515.12 toks/s, output: 2895.38 toks/s]
Processed prompts:  86%|████████▌ | 440/512 [01:48<00:24,  2.99it/s, est. speed input: 3504.42 toks/s, output: 2883.53 toks/s]
Processed prompts:  87%|████████▋ | 443/512 [01:48<00:20,  3.37it/s, est. speed input: 3499.77 toks/s, output: 2877.64 toks/s]
Processed prompts:  87%|████████▋ | 444/512 [01:49<00:19,  3.43it/s, est. speed input: 3499.12 toks/s, output: 2876.92 toks/s]
Processed prompts:  87%|████████▋ | 445/512 [01:49<00:17,  3.80it/s, est. speed input: 3502.16 toks/s, output: 2878.38 toks/s]
Processed prompts:  87%|████████▋ | 446/512 [01:49<00:15,  4.25it/s, est. speed input: 3505.85 toks/s, output: 2880.87 toks/s]
Processed prompts:  88%|████████▊ | 448/512 [01:49<00:10,  5.96it/s, est. speed input: 3517.84 toks/s, output: 2890.71 toks/s]
Processed prompts:  88%|████████▊ | 449/512 [01:49<00:10,  6.08it/s, est. speed input: 3521.14 toks/s, output: 2891.77 toks/s]
Processed prompts:  88%|████████▊ | 450/512 [01:49<00:09,  6.32it/s, est. speed input: 3524.98 toks/s, output: 2894.47 toks/s]
Processed prompts:  88%|████████▊ | 451/512 [01:50<00:10,  5.72it/s, est. speed input: 3524.06 toks/s, output: 2894.12 toks/s]INFO 08-10 00:46:13 [metrics.py:417] Avg prompt throughput: 7907.2 tokens/s, Avg generation throughput: 3110.0 tokens/s, Running: 23 reqs, Swapped: 0 reqs, Pending: 37 reqs, GPU KV cache usage: 95.3%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:46:13 [metrics.py:433] Prefix cache hit rate: GPU: 91.92%, CPU: 0.00%
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Processed prompts:  88%|████████▊ | 453/512 [01:50<00:10,  5.50it/s, est. speed input: 3526.12 toks/s, output: 2897.27 toks/s]
Processed prompts:  89%|████████▉ | 455/512 [01:50<00:08,  6.68it/s, est. speed input: 3536.33 toks/s, output: 2905.59 toks/s]
Processed prompts:  89%|████████▉ | 456/512 [01:50<00:08,  6.47it/s, est. speed input: 3539.06 toks/s, output: 2910.62 toks/s]WARNING 08-10 00:46:13 [scheduler.py:1834] Sequence group 5098 is preempted by PreemptionMode.RECOMPUTE mode because there is not enough KV cache space. This can affect the end-to-end performance. Increase gpu_memory_utilization or tensor_parallel_size to provide more KV cache memory. total_num_cumulative_preemption=1151
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Processed prompts:  89%|████████▉ | 457/512 [01:51<00:12,  4.32it/s, est. speed input: 3531.83 toks/s, output: 2905.29 toks/s]
Processed prompts:  90%|█████████ | 461/512 [01:52<00:12,  4.07it/s, est. speed input: 3529.94 toks/s, output: 2904.36 toks/s]
Processed prompts:  90%|█████████ | 462/512 [01:52<00:11,  4.34it/s, est. speed input: 3533.18 toks/s, output: 2909.26 toks/s]
Processed prompts:  90%|█████████ | 463/512 [01:53<00:12,  3.87it/s, est. speed input: 3529.54 toks/s, output: 2906.07 toks/s]
Processed prompts:  91%|█████████ | 465/512 [01:53<00:11,  4.17it/s, est. speed input: 3530.76 toks/s, output: 2904.96 toks/s]
Processed prompts:  91%|█████████▏| 468/512 [01:53<00:06,  6.51it/s, est. speed input: 3550.93 toks/s, output: 2916.72 toks/s]
Processed prompts:  92%|█████████▏| 470/512 [01:54<00:09,  4.24it/s, est. speed input: 3539.77 toks/s, output: 2903.18 toks/s]
Processed prompts:  92%|█████████▏| 473/512 [01:54<00:06,  5.95it/s, est. speed input: 3554.14 toks/s, output: 2915.17 toks/s]
Processed prompts:  93%|█████████▎| 475/512 [01:55<00:06,  5.29it/s, est. speed input: 3552.87 toks/s, output: 2913.62 toks/s]INFO 08-10 00:46:18 [metrics.py:417] Avg prompt throughput: 12295.1 tokens/s, Avg generation throughput: 3079.8 tokens/s, Running: 22 reqs, Swapped: 0 reqs, Pending: 15 reqs, GPU KV cache usage: 93.7%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:46:18 [metrics.py:433] Prefix cache hit rate: GPU: 91.93%, CPU: 0.00%
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Processed prompts:  93%|█████████▎| 476/512 [01:56<00:13,  2.72it/s, est. speed input: 3520.98 toks/s, output: 2886.53 toks/s]
Processed prompts:  93%|█████████▎| 478/512 [01:56<00:09,  3.56it/s, est. speed input: 3529.10 toks/s, output: 2894.20 toks/s]
Processed prompts:  94%|█████████▍| 480/512 [01:56<00:06,  4.75it/s, est. speed input: 3541.25 toks/s, output: 2903.54 toks/s]
Processed prompts:  94%|█████████▍| 482/512 [01:57<00:05,  5.04it/s, est. speed input: 3544.42 toks/s, output: 2905.85 toks/s]
Processed prompts:  95%|█████████▍| 484/512 [01:57<00:04,  6.22it/s, est. speed input: 3555.40 toks/s, output: 2914.19 toks/s]
Processed prompts:  95%|█████████▍| 486/512 [01:57<00:05,  5.16it/s, est. speed input: 3554.28 toks/s, output: 2912.18 toks/s]
Processed prompts:  95%|█████████▌| 487/512 [01:58<00:05,  4.27it/s, est. speed input: 3549.24 toks/s, output: 2906.44 toks/s]
Processed prompts:  96%|█████████▌| 489/512 [01:58<00:04,  5.42it/s, est. speed input: 3557.54 toks/s, output: 2910.39 toks/s]
Processed prompts:  96%|█████████▌| 490/512 [01:58<00:04,  5.07it/s, est. speed input: 3557.60 toks/s, output: 2911.27 toks/s]
Processed prompts:  96%|█████████▌| 491/512 [01:58<00:03,  5.50it/s, est. speed input: 3561.52 toks/s, output: 2914.08 toks/s]
Processed prompts:  96%|█████████▌| 492/512 [01:59<00:05,  3.72it/s, est. speed input: 3552.57 toks/s, output: 2909.05 toks/s]
Processed prompts:  96%|█████████▋| 493/512 [01:59<00:05,  3.75it/s, est. speed input: 3550.58 toks/s, output: 2908.18 toks/s]
Processed prompts:  97%|█████████▋| 495/512 [01:59<00:03,  5.28it/s, est. speed input: 3561.04 toks/s, output: 2915.76 toks/s]
Processed prompts:  97%|█████████▋| 496/512 [01:59<00:02,  5.73it/s, est. speed input: 3564.93 toks/s, output: 2919.35 toks/s]
Processed prompts:  97%|█████████▋| 498/512 [02:00<00:03,  4.42it/s, est. speed input: 3560.22 toks/s, output: 2917.67 toks/s]INFO 08-10 00:46:23 [metrics.py:417] Avg prompt throughput: 3591.8 tokens/s, Avg generation throughput: 2759.6 tokens/s, Running: 12 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 68.5%, CPU KV cache usage: 0.0%.
-INFO 08-10 00:46:23 [metrics.py:433] Prefix cache hit rate: GPU: 91.89%, CPU: 0.00%
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Processed prompts:  98%|█████████▊| 500/512 [02:00<00:02,  5.47it/s, est. speed input: 3567.01 toks/s, output: 2922.54 toks/s]
Processed prompts:  98%|█████████▊| 501/512 [02:00<00:02,  5.45it/s, est. speed input: 3568.94 toks/s, output: 2925.24 toks/s]
Processed prompts:  98%|█████████▊| 502/512 [02:01<00:02,  4.98it/s, est. speed input: 3568.69 toks/s, output: 2923.84 toks/s]
Processed prompts:  98%|█████████▊| 504/512 [02:01<00:01,  6.11it/s, est. speed input: 3573.68 toks/s, output: 2929.04 toks/s]
Processed prompts:  99%|█████████▊| 505/512 [02:01<00:01,  5.14it/s, est. speed input: 3572.26 toks/s, output: 2927.19 toks/s]
Processed prompts:  99%|█████████▉| 508/512 [02:02<00:00,  5.56it/s, est. speed input: 3580.17 toks/s, output: 2933.21 toks/s]
Processed prompts:  99%|█████████▉| 509/512 [02:02<00:00,  4.38it/s, est. speed input: 3574.74 toks/s, output: 2930.01 toks/s]
Processed prompts: 100%|█████████▉| 510/512 [02:03<00:00,  2.97it/s, est. speed input: 3560.67 toks/s, output: 2920.13 toks/s]
Processed prompts: 100%|█████████▉| 511/512 [02:03<00:00,  3.06it/s, est. speed input: 3559.37 toks/s, output: 2921.51 toks/s]
Processed prompts: 100%|██████████| 512/512 [02:03<00:00,  3.06it/s, est. speed input: 3565.61 toks/s, output: 2928.98 toks/s]
Processed prompts: 100%|██████████| 512/512 [02:03<00:00,  4.14it/s, est. speed input: 3565.61 toks/s, output: 2928.98 toks/s]
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Adding requests:   0%|          | 0/512 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 512/512 [00:00<00:00, 9531.28it/s]
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Processed prompts:   0%|          | 0/512 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   0%|          | 1/512 [00:00<02:59,  2.85it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   1%|          | 3/512 [00:00<01:49,  4.63it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   1%|          | 5/512 [00:01<01:44,  4.87it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   2%|▏         | 8/512 [00:01<01:23,  6.01it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   2%|▏         | 12/512 [00:02<01:18,  6.34it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   3%|▎         | 14/512 [00:02<01:22,  6.07it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   4%|▎         | 18/512 [00:03<01:24,  5.88it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   7%|▋         | 34/512 [00:05<01:19,  6.04it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   8%|▊         | 40/512 [00:06<01:20,  5.85it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts:   9%|▊         | 44/512 [00:07<01:20,  5.79it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:   9%|▉         | 46/512 [00:07<01:18,  5.96it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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-INFO:search.beam_search:Early exit: 0 active, 522 completed
-
Beam search iterations:  90%|█████████ | 9/10 [10:15<01:08, 68.39s/it]
-INFO:__main__:
-==================================================
-INFO:__main__:RESULTS
-INFO:__main__:==================================================
-INFO:__main__:Total num tokens: 371439
-INFO:__main__:Effective num tokens: 674129
-INFO:__main__:Effective num tokens per step: 1291.434865900383
-INFO:__main__:Number of tokens in 1 completion: 1291.434865900383
-INFO:__main__:N completion tokens: 371439
-INFO:__main__:Total generator latency: 228.06s
-INFO:__main__:Total verifier latency: 384.39s
-INFO:__main__:N generator latency: 228.06s
-INFO:__main__:N verifier latency: 384.39s
-INFO:__main__:Goodput: 1100.71
-INFO:__main__:Per-token generator goodput: 2.11
-INFO:__main__:Completions: 522
-INFO:__main__:Completion time: 516.59s
-INFO:__main__:Number of steps in 1 completion: 17.14176245210728
-INFO:__main__:Extended tokens: [[], [], [], [], [], [], [], [], [], []]
+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]
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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 00:47:55.141967704 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())
+[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
-INFO:__main__:Experiment completed successfully!
+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)
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+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  615,508,900,650          1  615,508,900,650.0  615,508,900,650.0  615,508,900,650  615,508,900,650               0.0  PushPop  :Total                            
-     30.9  377,775,113,492         10   37,777,511,349.2   33,926,317,513.0   17,409,073,850   85,275,584,293  19,187,080,091.7  PushPop  :encode                           
-     18.7  228,062,869,822         10   22,806,286,982.2   13,053,895,310.5    5,568,975,355  124,783,252,393  36,158,420,234.8  PushPop  :generate                         
-      0.0           73,018          1           73,018.0           73,018.0           73,018           73,018               0.0  PushPop  CCCL:cub::DeviceSegmentedRadixSort
+     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         
- --------  -----------------  ---------  -----------------  -----------------  ---------------  ---------------  ---------------  ----------------------
-     32.6  7,792,704,953,495     44,636      174,583,407.0      100,066,997.0            1,047  480,000,113,712  5,080,249,500.0  pthread_cond_timedwait
-     26.1  6,236,860,651,313    364,768       17,098,157.3       10,061,638.0            1,003  623,604,969,227  1,481,816,448.1  epoll_wait            
-     14.2  3,389,193,863,707        351    9,655,822,973.5   10,000,074,891.0           37,447   10,000,146,504  1,763,391,564.1  sem_timedwait         
-      9.1  2,168,140,683,077     68,005       31,882,077.5            3,994.0            1,000  604,316,543,844  2,587,754,992.7  read                  
-      8.1  1,931,485,101,475        110   17,558,955,468.0   15,562,101,892.0           19,296   75,268,771,931  8,474,671,246.1  pthread_cond_wait     
-      5.9  1,418,605,571,886     14,454       98,146,227.5      100,117,929.0            1,000  127,360,173,650  1,133,374,130.1  poll                  
-      2.5    600,000,078,949          1  600,000,078,949.0  600,000,078,949.0  600,000,078,949  600,000,078,949              0.0  clock_nanosleep       
-      1.6    376,631,000,921      1,073      351,007,456.6      368,488,167.0           22,208      395,262,785     65,512,278.4  sem_wait              
-      0.0      3,208,341,718      7,171          447,405.1            2,744.0            1,002      116,845,014      6,559,246.0  ioctl                 
-      0.0      1,297,424,271        385        3,369,933.2            1,060.0            1,000    1,231,617,618     62,805,835.6  waitpid               
-      0.0        837,925,322        328        2,554,650.4        1,541,758.0            2,653       15,931,868      2,875,058.5  pthread_rwlock_wrlock 
-      0.0        508,903,377    148,813            3,419.8            1,845.0            1,033      167,484,803        434,171.9  munmap                
-      0.0        449,132,516        523          858,762.0            2,953.0            1,203       47,760,328      4,273,843.6  fopen                 
-      0.0        202,771,605         40        5,069,290.1        5,066,371.5        5,054,027        5,090,400         11,668.3  nanosleep             
-      0.0        176,814,999      1,772           99,782.7           14,269.0            1,018       49,482,707      1,190,532.9  recv                  
-      0.0        175,220,501     46,566            3,762.8            3,321.0            1,015        2,981,489         13,911.5  open64                
-      0.0        141,296,518     19,633            7,196.9            3,231.0            1,005        2,322,257         39,875.0  write                 
-      0.0        125,409,842        150          836,065.6            4,011.5            1,026       19,058,009      3,775,637.1  open                  
-      0.0        107,441,657         11        9,767,423.4           32,475.0            8,648       56,014,467     21,676,550.6  connect               
-      0.0         83,376,665        245          340,312.9           68,441.0           50,264       11,993,587      1,637,870.8  sleep                 
-      0.0         58,696,310      5,768           10,176.2            4,536.0            1,175          101,415         14,696.4  send                  
-      0.0         55,541,353        374          148,506.3            5,370.5            1,858       18,101,407      1,591,906.1  fopen64               
-      0.0         46,212,897          3       15,404,299.0          972,056.0          771,119       44,469,722     25,171,595.2  fork                  
-      0.0         38,871,052     11,682            3,327.4            1,674.0            1,000        1,322,703         13,708.2  mmap64                
-      0.0         34,825,505         98          355,362.3           11,006.0            3,637        7,252,382      1,114,373.7  pthread_join          
-      0.0         24,237,733         43          563,668.2          679,094.0            9,033        2,621,075        418,691.6  pthread_rwlock_rdlock 
-      0.0         16,263,294        215           75,643.2           56,672.0           18,297          647,325         76,047.9  pthread_create        
-      0.0         10,978,097      1,515            7,246.3            2,033.0            1,001          476,763         16,174.2  fgets                 
-      0.0          8,320,904      6,075            1,369.7            1,217.0            1,000           11,344            523.6  epoll_ctl             
-      0.0          3,438,124      2,712            1,267.7            1,067.0            1,002           50,355          1,454.8  fclose                
-      0.0          3,149,163        114           27,624.2           18,079.0            1,062          267,708         31,501.2  pthread_mutex_lock    
-      0.0          2,175,752        147           14,801.0            2,941.0            1,327          335,767         44,213.9  futex                 
-      0.0          1,637,994        476            3,441.2            2,441.0            1,001           22,365          2,700.5  pthread_cond_signal   
-      0.0          1,480,633        191            7,752.0            4,026.0            1,260           63,501          6,748.6  mmap                  
-      0.0            605,007        102            5,931.4            4,486.5            2,278           20,052          3,478.2  pipe2                 
-      0.0            266,247         43            6,191.8            5,159.0            1,855           16,318          4,047.8  socket                
-      0.0            241,136         24           10,047.3            2,996.0            1,018           85,071         19,780.6  bind                  
-      0.0            214,226         36            5,950.7            4,659.5            1,004           16,206          4,811.5  pthread_cond_broadcast
-      0.0            110,036         44            2,500.8            1,703.5            1,001           31,431          4,559.6  sigaction             
-      0.0             97,290         15            6,486.0            7,289.0            2,686            9,080          2,394.0  pthread_mutex_trylock 
-      0.0             83,392         30            2,779.7            2,103.5            1,335            7,663          1,432.3  stat                  
-      0.0             71,941         46            1,563.9            1,256.5            1,007            5,880            920.3  fcntl                 
-      0.0             70,652          5           14,130.4           13,607.0            9,078           20,410          4,960.5  accept4               
-      0.0             66,944         33            2,028.6            2,274.0            1,000            3,302            705.3  dup2                  
-      0.0             48,979         11            4,452.6            5,158.0            1,031            5,915          1,753.0  fflush                
-      0.0             47,122          8            5,890.3            5,826.5            4,578            7,397            822.6  lstat                 
-      0.0             45,382         20            2,269.1            1,715.5            1,009            7,031          1,369.5  pread                 
-      0.0             35,370          2           17,685.0           17,685.0           15,562           19,808          3,002.4  socketpair            
-      0.0             31,356          7            4,479.4            4,377.0            3,771            4,898            424.4  fputs_unlocked        
-      0.0             28,150          8            3,518.8            3,306.0            1,758            5,649          1,275.5  flock                 
-      0.0             26,595          5            5,319.0            4,243.0            3,129            9,506          2,659.0  fread                 
-      0.0             19,856          8            2,482.0            2,412.0            1,990            3,094            423.6  mprotect              
-      0.0             16,788         10            1,678.8            1,404.0            1,233            2,826            591.7  listen                
-      0.0             16,340          3            5,446.7            5,726.0            2,205            8,409          3,111.4  fwrite                
-      0.0             15,148          6            2,524.7            2,259.0            1,648            3,736            861.9  fstat                 
-      0.0              7,638          2            3,819.0            3,819.0            3,757            3,881             87.7  fputs                 
-      0.0              5,504          1            5,504.0            5,504.0            5,504            5,504              0.0  kill                  
-      0.0              5,423          3            1,807.7            1,999.0            1,423            2,001            333.1  openat64              
+ 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                   
  --------  ---------------  ---------  ------------  -----------  ---------  -----------  ------------  ------------------------------------------
-     86.3   86,504,173,850    525,959     164,469.4      4,932.0      3,013  118,362,039     841,946.9  cudaMemcpyAsync                           
-      4.8    4,807,859,028    565,877       8,496.3      6,339.0        801   85,928,321     178,706.3  cudaLaunchKernel                          
-      3.2    3,195,643,536     22,017     145,144.4    155,719.0     60,556    2,565,631      59,652.2  cudaGraphLaunch_v10000                    
-      3.0    3,002,757,415         88  34,122,243.4     24,301.5      4,400  119,950,616  50,550,161.1  cudaHostAlloc                             
-      0.7      684,631,677    101,961       6,714.6      6,134.0        832    6,657,856      43,692.4  cuLaunchKernel                            
-      0.6      552,319,226    368,993       1,496.8      1,161.0        621    5,126,338      25,148.5  cudaEventRecord                           
-      0.4      411,773,507    368,986       1,116.0        803.0        349    4,151,782       6,898.3  cudaEventQuery                            
-      0.4      403,258,245     65,874       6,121.7      5,901.0        157    7,959,262      59,811.9  cudaMemsetAsync                           
-      0.2      168,870,006         10  16,887,000.6     42,516.0     13,234  168,508,195  53,274,263.5  cudaMemGetInfo                            
-      0.1       84,464,220     24,640       3,427.9      3,071.0      2,372       60,514       2,218.5  cudaStreamSynchronize                     
-      0.1       83,141,088    101,961         815.4        680.0        296    4,545,371      15,111.9  cuKernelGetFunction                       
-      0.1       79,210,477         35   2,263,156.5  2,110,712.0  1,574,695    3,369,912     593,837.4  cudaGraphInstantiateWithFlags_v11040      
-      0.1       55,155,410     68,355         806.9        930.0        298       32,757         387.6  cudaStreamIsCapturing_v10000              
-      0.0       40,033,891         68     588,733.7    260,971.0     67,629    2,721,780     622,836.4  cudaFree                                  
-      0.0       34,965,116         10   3,496,511.6  3,681,205.5     87,524    6,083,451   1,971,794.0  cuLibraryLoadData                         
-      0.0       32,204,439         35     920,126.8    894,613.0    641,194    1,179,057     156,073.7  cudaGraphExecDestroy_v10000               
-      0.0       25,211,287        180     140,062.7    130,824.0      8,406      487,143      54,303.3  cudaMalloc                                
-      0.0        5,548,549         35     158,530.0    151,726.0    129,405      200,847      19,482.2  cudaGraphDestroy_v10000                   
-      0.0        5,311,020      8,785         604.6        607.0        310        7,440         180.5  cudaStreamGetCaptureInfo_v2_v11030        
-      0.0        4,382,614         35     125,217.5    115,772.0    101,937      322,608      36,817.5  cudaStreamEndCapture_v10000               
-      0.0        3,564,640        128      27,848.8      3,239.5      2,163    1,168,183     141,059.0  cudaStreamCreateWithPriority              
-      0.0        2,094,035        106      19,755.0     20,374.5      3,197      119,061      16,571.0  cudaDeviceSynchronize                     
-      0.0          878,560         35      25,101.7     25,425.0     18,338       32,172       3,249.4  cudaGraphGetNodes_v10000                  
-      0.0          464,499         35      13,271.4     11,152.0      8,596       24,369       4,692.4  cudaStreamBeginCapture_v10000             
-      0.0          187,813        810         231.9        207.0        118        2,536         133.8  cuGetProcAddress_v2                       
-      0.0           49,658         26       1,909.9        599.0        459       20,314       3,920.0  cudaEventCreateWithFlags                  
-      0.0           29,469         17       1,733.5      1,041.0        645        6,099       1,619.2  cuLibraryGetKernel                        
-      0.0            7,478          3       2,492.7      2,363.0      2,089        3,026         481.8  cuInit                                    
-      0.0            5,741          8         717.6        610.5        468        1,501         329.3  cudaThreadExchangeStreamCaptureMode_v10010
-      0.0            4,086          1       4,086.0      4,086.0      4,086        4,086           0.0  cudaStreamWaitEvent                       
-      0.0            1,950          3         650.0        204.0        139        1,607         829.4  cuModuleGetLoadingMode                    
-      0.0            1,702          2         851.0        851.0        370        1,332         680.2  cudaGetDriverEntryPoint_v11030            
-      0.0            1,665          1       1,665.0      1,665.0      1,665        1,665           0.0  cudaEventDestroy                          
+     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                                                
  --------  ---------------  ---------  -----------  -----------  ---------  ---------  -----------  ----------------------------------------------------------------------------------------------------
-     43.6   12,019,661,871     78,111    153,879.2     73,793.0      7,329    570,342    195,883.0  void cutlass::Kernel2<cutlass_80_tensorop_bf16_s16816gemm_relu_bf16_64x64_32x6_tn_align8>(T1::Param…
-      9.1    2,510,719,028     11,637    215,753.1     60,833.0      9,344    538,116    230,676.9  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x2_tn_align8>(T1::Par…
-      6.3    1,726,194,506     11,760    146,785.2    149,762.0     40,032    712,772    132,371.8  ampere_bf16_s1688gemm_bf16_128x64_sliced1x2_ldg8_f2f_tn                                             
-      4.1    1,138,817,632      4,284    265,830.4    224,418.0     32,865    809,640    207,976.5  ampere_bf16_s1688gemm_bf16_64x128_sliced1x2_ldg8_f2f_tn                                             
-      4.0    1,092,889,165     23,063     47,387.1     30,592.0     29,537    639,239     81,136.2  void at::native::<unnamed>::cunn_SoftMaxForward<(int)4, float, float, float, at::native::<unnamed>:…
-      3.9    1,068,749,647     23,062     46,342.5     25,664.0     25,088    611,302     82,496.6  void at::native::<unnamed>::cunn_SoftMaxForward<(int)4, float, float, float, at::native::<unnamed>:…
-      3.8    1,037,297,919     28,980     35,793.6     25,185.0     13,920    676,807     43,597.4  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
-      2.7      734,798,820        961    764,619.0    579,172.0    378,884  1,348,397    353,795.1  ampere_bf16_s16816gemm_bf16_128x64_ldg8_f2f_tn                                                      
-      2.4      671,370,070     23,062     29,111.5     10,752.0      1,408    501,093     72,877.4  void at::native::vectorized_elementwise_kernel<(int)4, at::native::BinaryFunctor<float, float, floa…
-      2.3      629,580,645     23,062     27,299.5     11,168.0      2,784    337,281     50,403.9  void at::native::index_elementwise_kernel<(int)128, (int)4, void at::native::gpu_index_kernel<void …
-      1.9      525,555,582     23,062     22,788.8     13,056.0      2,720    338,147     46,589.2  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl<at::native::…
-      1.9      513,356,400      2,828    181,526.3     51,393.0     39,648  1,411,718    377,503.7  ampere_bf16_s1688gemm_bf16_128x128_ldg8_f2f_stages_32x1_tn                                          
-      1.6      429,380,538        845    508,142.6    507,845.0    506,245    540,805      2,763.5  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x1_tn_align8>(T1::Par…
-      1.5      417,428,003     31,220     13,370.5      5,920.0      2,912    248,705     31,481.8  void vllm::act_and_mul_kernel<c10::BFloat16, &vllm::silu_kernel<c10::BFloat16>, (bool)1>(T1 *, cons…
-      1.5      406,995,002     23,062     17,647.9     11,680.0      3,360    225,635     29,709.0  void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIterator…
-      1.4      385,908,742     23,062     16,733.5      7,488.0      2,335    183,777     26,222.3  void at::native::<unnamed>::distribution_elementwise_grid_stride_kernel<float, (int)4, void at::nat…
-      1.3      346,905,184      1,508    230,043.2     59,488.5      6,720    501,477    230,796.0  std::enable_if<!T7, void>::type internal::gemvx::kernel<int, int, __nv_bfloat16, __nv_bfloat16, __n…
-      1.2      334,486,295     12,068     27,716.8     12,704.0      7,648     68,800     20,422.3  ampere_bf16_s16816gemm_bf16_64x64_ldg8_f2f_stages_64x5_tn                                           
-      1.2      331,797,128     23,062     14,387.2     10,080.0      5,088    205,571     26,182.8  void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::ArgMaxOps<…
-      0.7      198,401,660     62,440      3,177.5      2,657.0      1,567     36,704      3,083.5  std::enable_if<T2>(int)0&&vllm::_typeConvert<T1>::exists, void>::type vllm::fused_add_rms_norm_kern…
-      0.6      167,031,005      4,452     37,518.2     37,377.0     36,001     46,496        961.1  void cutlass::Kernel2<cutlass_80_tensorop_bf16_s16816gemm_relu_bf16_64x128_32x6_tn_align8>(T1::Para…
-      0.4      119,965,264      9,352     12,827.8     12,704.0     11,616     15,744        814.6  ampere_bf16_s16816gemm_bf16_64x64_ldg8_relu_f2f_stages_64x5_tn                                      
-      0.3       91,154,352      1,428     63,833.6     63,713.0     61,792     84,448      1,714.2  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_64x1_tn_align8>(T1::Para…
-      0.3       89,448,039     31,220      2,865.1      2,111.0      1,535     39,360      2,963.8  void vllm::rotary_embedding_kernel<c10::BFloat16, (bool)1>(const long *, T1 *, T1 *, const T1 *, in…
-      0.3       69,256,245        448    154,589.8    153,137.5    148,961    169,633      5,063.2  ampere_bf16_s1688gemm_bf16_128x128_ldg8_relu_f2f_stages_32x1_tn                                     
-      0.2       58,454,205      2,576     22,691.8     32,800.0      9,120     43,584     11,804.4  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_128x2_tn_align8>(T1::Par…
-      0.2       53,386,501     28,756      1,856.5      1,696.0      1,183      3,072        495.7  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, __nv_bfloat16, __nv_bfloat16, float, (boo…
-      0.2       52,270,119     31,192      1,675.8      1,408.0        960     13,504      1,374.5  void vllm::reshape_and_cache_flash_kernel<__nv_bfloat16, __nv_bfloat16, (vllm::Fp8KVCacheDataType)0…
-      0.2       49,631,934      2,268     21,883.6     21,632.0     21,120     24,288        522.1  ampere_bf16_s16816gemm_bf16_128x64_ldg8_relu_f2f_stages_64x3_tn                                     
-      0.2       49,434,603     18,010      2,744.8      2,560.0      1,888     32,512      1,048.9  void at::native::<unnamed>::indexSelectLargeIndex<c10::BFloat16, long, unsigned int, (int)2, (int)2…
-      0.1       40,026,979     23,063      1,735.5      1,663.0      1,248      2,976        258.3  void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIterator…
-      0.1       39,799,523      1,036     38,416.5     27,489.0     26,240    153,345     23,361.8  ampere_bf16_s1688gemm_bf16_128x64_sliced1x2_ldg8_relu_f2f_tn                                        
-      0.1       36,235,985     31,306      1,157.5        960.0        767     13,824        750.6  void at::native::vectorized_elementwise_kernel<(int)8, at::native::FillFunctor<c10::BFloat16>, std:…
-      0.1       36,104,757      1,680     21,490.9     21,473.0     20,992     22,048        190.4  ampere_bf16_s16816gemm_bf16_128x64_ldg8_f2f_stages_32x6_tn                                          
-      0.1       29,013,907     22,017      1,317.8      1,312.0      1,120      1,953         89.9  void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::n…
-      0.1       21,154,695      6,167      3,430.3      3,360.0      1,503      7,617      1,385.9  void at::native::<unnamed>::indexSelectSmallIndex<c10::BFloat16, long, unsigned int, (int)2, (int)2…
-      0.1       20,331,136      1,120     18,152.8     17,072.0     11,808     23,232      3,876.6  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
-      0.0        9,601,325        280     34,290.4     34,224.5     17,024     35,776      1,131.2  std::enable_if<!T7, void>::type internal::gemvx::kernel<int, int, __nv_bfloat16, float, float, floa…
-      0.0        9,573,741      1,064      8,997.9      7,936.0      6,304     15,456      2,932.5  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
-      0.0        5,389,453        140     38,496.1     37,633.0     37,025     42,849      1,847.3  ampere_bf16_s1688gemm_bf16_64x64_sliced1x4_ldg8_f2f_tn                                              
-      0.0        5,242,886      3,248      1,614.2      1,600.0      1,408      2,464        127.8  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, __nv_bfloat16, __nv_bfloat16, float, (boo…
-      0.0        4,928,021          4  1,232,005.3  1,222,132.5  1,205,254  1,278,502     34,217.3  void at_cuda_detail::cub::DeviceSegmentedRadixSortKernel<at_cuda_detail::cub::DeviceRadixSortPolicy…
-      0.0        4,797,076      1,115      4,302.3      3,360.0      1,728     33,217      3,930.7  void vllm::rms_norm_kernel<c10::BFloat16>(T1 *, const T1 *, const T1 *, float, int, int)            
-      0.0        2,888,043         56     51,572.2     51,424.5     49,856     53,728        687.5  void flash::flash_fwd_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)64, (int)4, (bool)0, (…
-      0.0        2,550,090          2  1,275,045.0  1,275,045.0  1,232,005  1,318,085     60,867.8  void at_cuda_detail::cub::DeviceSegmentedRadixSortKernel<at_cuda_detail::cub::DeviceRadixSortPolicy…
-      0.0        2,515,802        280      8,985.0      8,928.0      8,703     12,672        438.5  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_64x1_tn_align8>(T1::Para…
-      0.0        1,253,872        364      3,444.7      3,424.0      3,103      4,064        211.3  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
-      0.0        1,137,253        364      3,124.3      3,104.0      2,784      3,520        192.2  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
-      0.0        1,101,165        168      6,554.6      6,560.0      6,400      6,752         71.8  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
-      0.0          920,708          1    920,708.0    920,708.0    920,708    920,708          0.0  void at::native::_scatter_gather_elementwise_kernel<(int)128, (int)8, void at::native::_cuda_scatte…
-      0.0          681,474          2    340,737.0    340,737.0    340,321    341,153        588.3  void at::native::vectorized_elementwise_kernel<(int)4, at::native::<unnamed>::masked_fill_kernel(at…
-      0.0          358,786          1    358,786.0    358,786.0    358,786    358,786          0.0  void at::native::tensor_kernel_scan_innermost_dim<float, std::plus<float>>(T1 *, const T1 *, unsign…
-      0.0          353,446        280      1,262.3      1,217.0      1,183      1,377         59.5  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, float, __nv_bfloat16, float, (bool)0, __n…
-      0.0          318,625          1    318,625.0    318,625.0    318,625    318,625          0.0  at::native::<unnamed>::fill_reverse_indices_kernel(long *, int, at::cuda::detail::IntDivider<unsign…
-      0.0          318,276        112      2,841.8      2,848.0      2,688      2,944         40.2  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
-      0.0          250,819         56      4,478.9      4,480.0      4,447      4,543         21.0  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
-      0.0          232,193          1    232,193.0    232,193.0    232,193    232,193          0.0  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::n…
-      0.0          221,505          1    221,505.0    221,505.0    221,505    221,505          0.0  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl<at::native::…
-      0.0           64,666         73        885.8        864.0        831      1,184         53.6  void at::native::vectorized_elementwise_kernel<(int)2, at::native::FillFunctor<long>, std::array<ch…
-      0.0            3,135          1      3,135.0      3,135.0      3,135      3,135          0.0  void at::native::<unnamed>::CatArrayBatchedCopy_aligned16_contig<at::native::<unnamed>::OpaqueType<…
-      0.0            2,336          2      1,168.0      1,168.0      1,088      1,248        113.1  void <unnamed>::elementwise_kernel_with_index<int, at::native::arange_cuda_out(const c10::Scalar &,…
-      0.0            2,303          1      2,303.0      2,303.0      2,303      2,303          0.0  void at::native::_scatter_gather_elementwise_kernel<(int)128, (int)8, void at::native::_cuda_scatte…
+     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            2,145          1      2,145.0      2,145.0      2,145      2,145          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::cos_kernel_cuda(at::TensorIterat…
+      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            1,824          1      1,824.0      1,824.0      1,824      1,824          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::sin_kernel_cuda(at::TensorIterat…
-      0.0            1,696          1      1,696.0      1,696.0      1,696      1,696          0.0  void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::Te…
-      0.0            1,472          1      1,472.0      1,472.0      1,472      1,472          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::BUnaryFunctor<float, float, floa…
-      0.0            1,408          1      1,408.0      1,408.0      1,408      1,408          0.0  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::n…
-      0.0            1,344          1      1,344.0      1,344.0      1,344      1,344          0.0  void at::native::vectorized_elementwise_kernel<(int)2, at::native::CUDAFunctorOnOther_add<long>, st…
-      0.0            1,344          1      1,344.0      1,344.0      1,344      1,344          0.0  void at::native::vectorized_elementwise_kernel<(int)8, at::native::CUDAFunctorOnOther_add<c10::BFlo…
+      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            1,024          1      1,024.0      1,024.0      1,024      1,024          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::AUnaryFunctor<float, float, floa…
+      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<…
-      0.0              896          1        896.0        896.0        896        896          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::FillFunctor<int>, std::array<cha…
 
 [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           
  --------  ---------------  -------  --------  --------  --------  -----------  -----------  ------------------------------
-     86.6      976,291,364  392,587   2,486.8     353.0       287  117,959,003    206,760.3  [CUDA memcpy Host-to-Device]  
-      8.8       99,629,176  110,310     903.2     896.0       832      342,433      1,029.0  [CUDA memcpy Device-to-Device]
-      2.4       27,295,757   23,062   1,183.6   1,183.0       831        1,856        100.7  [CUDA memcpy Device-to-Host]  
-      2.1       23,700,573   58,594     404.5     352.0       287        2,049        158.2  [CUDA memset]                 
+     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           
  ----------  -------  --------  --------  --------  --------  -----------  ------------------------------
-  3,921.292  392,587     0.010     0.000     0.000   466.747        0.849  [CUDA memcpy Host-to-Device]  
-    951.451  110,310     0.009     0.000     0.000   155.582        0.469  [CUDA memcpy Device-to-Device]
-     36.093   58,594     0.001     0.001     0.000     0.003        0.001  [CUDA memset]                 
-      5.536   23,062     0.000     0.000     0.000     0.002        0.000  [CUDA memcpy Device-to-Host]  
+  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