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WARNING: CPU IP/backtrace sampling not supported, disabling.
Try the 'nsys status --environment' command to learn more.
WARNING: CPU context switch tracing not supported, disabling.
Try the 'nsys status --environment' command to learn more.
INFO 08-11 21:41:28 [__init__.py:244] Automatically detected platform cuda.
--- vLLM ๆ€ง่ƒฝๅŸบๅ‡†ๆต‹่ฏ• (ๅซ NVTX ๆ ‡่ฎฐ) ---
ๆจกๅž‹: Qwen/Qwen2-1.5B
ๆ‰น้‡ๅคงๅฐ: [128, 64, 32, 16]
่พ“ๅ…ฅ/่พ“ๅ‡บ Token (่ฟ‘ไผผ): 128 / 512
---------------------------------------------
ๆญฃๅœจๅŠ ่ฝฝๆจกๅž‹... ่ฟ™ๅฏ่ƒฝ้œ€่ฆไธ€ไบ›ๆ—ถ้—ดใ€‚
INFO 08-11 21:41:38 [config.py:841] This model supports multiple tasks: {'classify', 'embed', 'reward', 'generate'}. Defaulting to 'generate'.
INFO 08-11 21:41:38 [config.py:1472] Using max model len 131072
INFO 08-11 21:41:39 [config.py:2285] Chunked prefill is enabled with max_num_batched_tokens=8192.
INFO 08-11 21:41:40 [core.py:526] Waiting for init message from front-end.
INFO 08-11 21:41:40 [core.py:69] Initializing a V1 LLM engine (v0.9.2) with config: model='Qwen/Qwen2-1.5B', speculative_config=None, tokenizer='Qwen/Qwen2-1.5B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=131072, 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='auto', 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=0, served_model_name=Qwen/Qwen2-1.5B, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, 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 08-11 21:41:41 [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 08-11 21:41:41 [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 08-11 21:41:41 [gpu_model_runner.py:1770] Starting to load model Qwen/Qwen2-1.5B...
INFO 08-11 21:41:41 [gpu_model_runner.py:1775] Loading model from scratch...
INFO 08-11 21:41:41 [cuda.py:284] Using Flash Attention backend on V1 engine.
INFO 08-11 21:41:42 [weight_utils.py:292] Using model weights format ['*.safetensors']
INFO 08-11 21:41:43 [weight_utils.py:345] No model.safetensors.index.json found in remote.
 Loading safetensors checkpoint shards: 0% Completed | 0/1 [00:00<?, ?it/s]
 Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:00<00:00, 1.41it/s]
 Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:00<00:00, 1.41it/s]
INFO 08-11 21:41:44 [default_loader.py:272] Loading weights took 0.81 seconds
INFO 08-11 21:41:44 [gpu_model_runner.py:1801] Model loading took 2.9110 GiB and 2.327024 seconds
INFO 08-11 21:41:51 [backends.py:508] Using cache directory: /home/cy/.cache/vllm/torch_compile_cache/19cf05a3aa/rank_0_0/backbone for vLLM's torch.compile
INFO 08-11 21:41:51 [backends.py:519] Dynamo bytecode transform time: 6.51 s
INFO 08-11 21:41:55 [backends.py:155] Directly load the compiled graph(s) for shape None from the cache, took 4.107 s
INFO 08-11 21:41:56 [monitor.py:34] torch.compile takes 6.51 s in total
INFO 08-11 21:41:57 [gpu_worker.py:232] Available KV cache memory: 16.88 GiB
INFO 08-11 21:41:57 [kv_cache_utils.py:716] GPU KV cache size: 632,176 tokens
INFO 08-11 21:41:57 [kv_cache_utils.py:720] Maximum concurrency for 131,072 tokens per request: 4.82x
 Capturing CUDA graph shapes: 0%| | 0/67 [00:00<?, ?it/s] Capturing CUDA graph shapes: 1%|โ– | 1/67 [00:00<00:16, 4.01it/s] Capturing CUDA graph shapes: 3%|โ–Ž | 2/67 [00:00<00:16, 4.04it/s] Capturing CUDA graph shapes: 4%|โ– | 3/67 [00:00<00:15, 4.03it/s] Capturing CUDA graph shapes: 6%|โ–Œ | 4/67 [00:00<00:15, 4.03it/s] Capturing CUDA graph shapes: 7%|โ–‹ | 5/67 [00:01<00:15, 4.04it/s] Capturing CUDA graph shapes: 9%|โ–‰ | 6/67 [00:01<00:15, 4.04it/s] Capturing CUDA graph shapes: 10%|โ–ˆ | 7/67 [00:01<00:15, 3.99it/s] Capturing CUDA graph shapes: 12%|โ–ˆโ– | 8/67 [00:01<00:14, 4.00it/s] Capturing CUDA graph shapes: 13%|โ–ˆโ–Ž | 9/67 [00:02<00:14, 4.01it/s] Capturing CUDA graph shapes: 15%|โ–ˆโ– | 10/67 [00:02<00:14, 4.03it/s] Capturing CUDA graph shapes: 16%|โ–ˆโ–‹ | 11/67 [00:02<00:13, 4.01it/s] Capturing CUDA graph shapes: 18%|โ–ˆโ–Š | 12/67 [00:02<00:13, 4.01it/s] Capturing CUDA graph shapes: 19%|โ–ˆโ–‰ | 13/67 [00:03<00:13, 4.01it/s] Capturing CUDA graph shapes: 21%|โ–ˆโ–ˆ | 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Capturing CUDA graph shapes: 93%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž| 62/67 [00:15<00:01, 3.95it/s] Capturing CUDA graph shapes: 94%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 63/67 [00:15<00:01, 3.98it/s] Capturing CUDA graph shapes: 96%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ| 64/67 [00:15<00:00, 4.00it/s] Capturing CUDA graph shapes: 97%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹| 65/67 [00:16<00:00, 4.02it/s] Capturing CUDA graph shapes: 99%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š| 66/67 [00:16<00:00, 4.02it/s] Capturing CUDA graph shapes: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 67/67 [00:16<00:00, 3.98it/s] Capturing CUDA graph shapes: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 67/67 [00:16<00:00, 4.02it/s]
INFO 08-11 21:42:14 [gpu_model_runner.py:2326] Graph capturing finished in 17 secs, took 0.47 GiB
INFO 08-11 21:42:14 [core.py:172] init engine (profile, create kv cache, warmup model) took 29.59 seconds
ๆจกๅž‹ๅŠ ่ฝฝๅฎŒๆˆใ€‚
ไฝฟ็”จ้•ฟๅบฆไธบ 2760 ็š„็คบไพ‹ๆ–‡ๆœฌไฝœไธบ่พ“ๅ…ฅ Promptใ€‚
===== ๆญฃๅœจ่ฟ่กŒๆ‰น้‡ๅคงๅฐไธบ 128 ็š„ๅŸบๅ‡†ๆต‹่ฏ• =====
ๆญฃๅœจ่ฟ›่กŒ้ข„็ƒญ...
 Adding requests: 0%| | 0/1 [00:00<?, ?it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:00<00:00, 79.98it/s]
 Processed prompts: 0%| | 0/1 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.56s/it, est. speed input: 211.50 toks/s, output: 200.16 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.56s/it, est. speed input: 211.50 toks/s, output: 200.16 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.56s/it, est. speed input: 211.50 toks/s, output: 200.16 toks/s]
ๅผ€ๅง‹่ฎกๆ—ถๅ’Œๅ‰–ๆž...
 Adding requests: 0%| | 0/128 [00:00<?, ?it/s] Adding requests: 49%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‰ | 63/128 [00:00<00:00, 626.28it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 128/128 [00:00<00:00, 639.35it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 128/128 [00:00<00:00, 636.78it/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 [00:04<10:08, 4.79s/it, est. speed input: 112.87 toks/s, output: 106.82 toks/s] Processed prompts: 78%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 100/128 [00:04<00:00, 28.85it/s, est. speed input: 11056.26 toks/s, output: 10463.53 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 128/128 [00:04<00:00, 28.85it/s, est. speed input: 14095.83 toks/s, output: 13340.11 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 128/128 [00:04<00:00, 26.05it/s, est. speed input: 14095.83 toks/s, output: 13340.11 toks/s]
--- ็ป“ๆžœ (ๆ‰น้‡ๅคงๅฐ: 128) ---
ๆ‰ง่กŒๆ—ถ้—ด: 5.116 ็ง’
ๅฎž้™…ๅนณๅ‡่พ“ๅ…ฅ Token ๆ•ฐ: 541.00
ๆ€ป่ฎก็”Ÿๆˆ Token ๆ•ฐ: 65536
ๅžๅ้‡ (Throughput): 12811.03 tokens/second
===== ๆญฃๅœจ่ฟ่กŒๆ‰น้‡ๅคงๅฐไธบ 64 ็š„ๅŸบๅ‡†ๆต‹่ฏ• =====
ๆญฃๅœจ่ฟ›่กŒ้ข„็ƒญ...
 Adding requests: 0%| | 0/1 [00:00<?, ?it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:00<00:00, 210.31it/s]
 Processed prompts: 0%| | 0/1 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.14 toks/s, output: 200.76 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.14 toks/s, output: 200.76 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.14 toks/s, output: 200.76 toks/s]
ๅผ€ๅง‹่ฎกๆ—ถๅ’Œๅ‰–ๆž...
 Adding requests: 0%| | 0/64 [00:00<?, ?it/s] Adding requests: 61%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ | 39/64 [00:00<00:00, 386.68it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 64/64 [00:00<00:00, 455.12it/s]
 Processed prompts: 0%| | 0/64 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 2%|โ– | 1/64 [00:03<03:52, 3.69s/it, est. speed input: 146.68 toks/s, output: 138.81 toks/s] Processed prompts: 58%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 37/64 [00:03<00:01, 13.66it/s, est. speed input: 5276.32 toks/s, output: 4993.43 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 64/64 [00:03<00:00, 13.66it/s, est. speed input: 9065.68 toks/s, output: 8579.65 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 64/64 [00:03<00:00, 16.76it/s, est. speed input: 9065.68 toks/s, output: 8579.65 toks/s]
--- ็ป“ๆžœ (ๆ‰น้‡ๅคงๅฐ: 64) ---
ๆ‰ง่กŒๆ—ถ้—ด: 3.964 ็ง’
ๅฎž้™…ๅนณๅ‡่พ“ๅ…ฅ Token ๆ•ฐ: 541.00
ๆ€ป่ฎก็”Ÿๆˆ Token ๆ•ฐ: 32768
ๅžๅ้‡ (Throughput): 8265.40 tokens/second
===== ๆญฃๅœจ่ฟ่กŒๆ‰น้‡ๅคงๅฐไธบ 32 ็š„ๅŸบๅ‡†ๆต‹่ฏ• =====
ๆญฃๅœจ่ฟ›่กŒ้ข„็ƒญ...
 Adding requests: 0%| | 0/1 [00:00<?, ?it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:00<00:00, 221.18it/s]
 Processed prompts: 0%| | 0/1 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.02 toks/s, output: 200.65 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.02 toks/s, output: 200.65 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.02 toks/s, output: 200.65 toks/s]
ๅผ€ๅง‹่ฎกๆ—ถๅ’Œๅ‰–ๆž...
 Adding requests: 0%| | 0/32 [00:00<?, ?it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 32/32 [00:00<00:00, 374.37it/s]
 Processed prompts: 0%| | 0/32 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 3%|โ–Ž | 1/32 [00:03<01:40, 3.25s/it, est. speed input: 166.64 toks/s, output: 157.70 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 32/32 [00:03<00:00, 3.25s/it, est. speed input: 5208.58 toks/s, output: 4929.33 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 32/32 [00:03<00:00, 9.63it/s, est. speed input: 5208.58 toks/s, output: 4929.33 toks/s]
--- ็ป“ๆžœ (ๆ‰น้‡ๅคงๅฐ: 32) ---
ๆ‰ง่กŒๆ—ถ้—ด: 3.412 ็ง’
ๅฎž้™…ๅนณๅ‡่พ“ๅ…ฅ Token ๆ•ฐ: 541.00
ๆ€ป่ฎก็”Ÿๆˆ Token ๆ•ฐ: 16384
ๅžๅ้‡ (Throughput): 4801.29 tokens/second
===== ๆญฃๅœจ่ฟ่กŒๆ‰น้‡ๅคงๅฐไธบ 16 ็š„ๅŸบๅ‡†ๆต‹่ฏ• =====
ๆญฃๅœจ่ฟ›่กŒ้ข„็ƒญ...
 Adding requests: 0%| | 0/1 [00:00<?, ?it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:00<00:00, 223.09it/s]
 Processed prompts: 0%| | 0/1 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.38 toks/s, output: 200.99 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.38 toks/s, output: 200.99 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:02<00:00, 2.55s/it, est. speed input: 212.38 toks/s, output: 200.99 toks/s]
ๅผ€ๅง‹่ฎกๆ—ถๅ’Œๅ‰–ๆž...
 Adding requests: 0%| | 0/16 [00:00<?, ?it/s] Adding requests: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 16/16 [00:00<00:00, 271.90it/s]
 Processed prompts: 0%| | 0/16 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 6%|โ–‹ | 1/16 [00:02<00:44, 2.97s/it, est. speed input: 182.28 toks/s, output: 172.50 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 16/16 [00:03<00:00, 2.97s/it, est. speed input: 2863.91 toks/s, output: 2710.36 toks/s] Processed prompts: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 16/16 [00:03<00:00, 5.29it/s, est. speed input: 2863.91 toks/s, output: 2710.36 toks/s]
--- ็ป“ๆžœ (ๆ‰น้‡ๅคงๅฐ: 16) ---
ๆ‰ง่กŒๆ—ถ้—ด: 3.084 ็ง’
ๅฎž้™…ๅนณๅ‡่พ“ๅ…ฅ Token ๆ•ฐ: 541.00
ๆ€ป่ฎก็”Ÿๆˆ Token ๆ•ฐ: 8192
ๅžๅ้‡ (Throughput): 2656.39 tokens/second
GPU 3: General Metrics for NVIDIA AD10x (any frequency)
Generating '/tmp/nsys-report-d8d0.qdstrm'
 [1/8] [0% ] qwen_util_bs.nsys-rep [1/8] [0% ] qwen_util_bs.nsys-rep [1/8] [0% ] qwen_util_bs.nsys-rep [1/8] [5% ] qwen_util_bs.nsys-rep [1/8] [5% ] qwen_util_bs.nsys-rep [1/8] [5% ] qwen_util_bs.nsys-rep [1/8] [6% ] qwen_util_bs.nsys-rep [1/8] [7% ] qwen_util_bs.nsys-rep [1/8] [8% ] qwen_util_bs.nsys-rep [1/8] [9% ] qwen_util_bs.nsys-rep [1/8] [10% ] qwen_util_bs.nsys-rep [1/8] [11% ] qwen_util_bs.nsys-rep [1/8] [12% ] qwen_util_bs.nsys-rep [1/8] [13% ] qwen_util_bs.nsys-rep [1/8] [14% ] qwen_util_bs.nsys-rep [1/8] [=15% ] qwen_util_bs.nsys-rep [1/8] [=16% ] qwen_util_bs.nsys-rep [1/8] [=17% ] qwen_util_bs.nsys-rep [1/8] [==18% ] qwen_util_bs.nsys-rep [1/8] [==19% ] qwen_util_bs.nsys-rep [1/8] [==20% ] qwen_util_bs.nsys-rep [1/8] [==21% ] qwen_util_bs.nsys-rep [1/8] [===22% ] qwen_util_bs.nsys-rep [1/8] [===23% ] qwen_util_bs.nsys-rep [1/8] [===24% ] qwen_util_bs.nsys-rep [1/8] [====25% ] qwen_util_bs.nsys-rep [1/8] [====26% ] qwen_util_bs.nsys-rep [1/8] [====27% ] qwen_util_bs.nsys-rep [1/8] [====28% ] qwen_util_bs.nsys-rep [1/8] [=====29% ] qwen_util_bs.nsys-rep [1/8] [=====30% ] qwen_util_bs.nsys-rep [1/8] [=====31% ] qwen_util_bs.nsys-rep [1/8] [=====32% ] qwen_util_bs.nsys-rep [1/8] [======33% ] qwen_util_bs.nsys-rep [1/8] [======34% ] qwen_util_bs.nsys-rep [1/8] [======35% ] qwen_util_bs.nsys-rep [1/8] [=======36% ] qwen_util_bs.nsys-rep [1/8] [=======37% ] qwen_util_bs.nsys-rep [1/8] [=======38% ] qwen_util_bs.nsys-rep [1/8] [=======39% ] qwen_util_bs.nsys-rep [1/8] [========40% ] qwen_util_bs.nsys-rep [1/8] [========41% ] qwen_util_bs.nsys-rep [1/8] [========42% ] qwen_util_bs.nsys-rep [1/8] [=========44% ] qwen_util_bs.nsys-rep [1/8] [=========45% ] qwen_util_bs.nsys-rep [1/8] [==========47% ] qwen_util_bs.nsys-rep [1/8] [==========49% ] qwen_util_bs.nsys-rep [1/8] [===========50% ] qwen_util_bs.nsys-rep [1/8] [===========52% ] qwen_util_bs.nsys-rep [1/8] [===========53% ] qwen_util_bs.nsys-rep [1/8] [============55% ] qwen_util_bs.nsys-rep [1/8] [============56% ] qwen_util_bs.nsys-rep [1/8] [============57% ] qwen_util_bs.nsys-rep [1/8] [========================100%] qwen_util_bs.nsys-rep [1/8] [========================100%] qwen_util_bs.nsys-rep
 [2/8] [0% ] qwen_util_bs.sqlite [2/8] [1% ] qwen_util_bs.sqlite [2/8] [2% ] qwen_util_bs.sqlite [2/8] [3% ] qwen_util_bs.sqlite [2/8] [4% ] qwen_util_bs.sqlite [2/8] [5% ] qwen_util_bs.sqlite [2/8] [6% ] qwen_util_bs.sqlite [2/8] [7% ] qwen_util_bs.sqlite [2/8] [8% ] qwen_util_bs.sqlite [2/8] [9% ] qwen_util_bs.sqlite [2/8] [10% ] qwen_util_bs.sqlite [2/8] [11% ] qwen_util_bs.sqlite [2/8] [12% ] qwen_util_bs.sqlite [2/8] [13% ] qwen_util_bs.sqlite [2/8] [14% ] qwen_util_bs.sqlite [2/8] [=15% ] qwen_util_bs.sqlite [2/8] [=16% ] qwen_util_bs.sqlite [2/8] [=17% ] qwen_util_bs.sqlite [2/8] [==18% ] qwen_util_bs.sqlite [2/8] [==19% ] qwen_util_bs.sqlite [2/8] [==20% ] qwen_util_bs.sqlite [2/8] [==21% ] qwen_util_bs.sqlite [2/8] [===22% ] qwen_util_bs.sqlite [2/8] [===23% ] qwen_util_bs.sqlite [2/8] [===24% ] qwen_util_bs.sqlite [2/8] [====25% ] qwen_util_bs.sqlite [2/8] [====26% ] qwen_util_bs.sqlite [2/8] [====27% ] qwen_util_bs.sqlite [2/8] [====28% ] qwen_util_bs.sqlite [2/8] [=====29% ] qwen_util_bs.sqlite [2/8] [=====30% ] qwen_util_bs.sqlite [2/8] [=====31% ] qwen_util_bs.sqlite [2/8] [=====32% ] qwen_util_bs.sqlite [2/8] [======33% ] qwen_util_bs.sqlite [2/8] [======34% ] qwen_util_bs.sqlite [2/8] [======35% ] qwen_util_bs.sqlite [2/8] [=======36% ] qwen_util_bs.sqlite [2/8] [=======37% ] qwen_util_bs.sqlite [2/8] [=======38% ] qwen_util_bs.sqlite [2/8] [=======39% ] qwen_util_bs.sqlite [2/8] [========40% ] qwen_util_bs.sqlite [2/8] [========41% ] qwen_util_bs.sqlite [2/8] [========42% ] qwen_util_bs.sqlite [2/8] [=========43% ] qwen_util_bs.sqlite [2/8] [=========44% ] qwen_util_bs.sqlite [2/8] [=========45% ] qwen_util_bs.sqlite [2/8] [=========46% ] qwen_util_bs.sqlite [2/8] [==========47% ] qwen_util_bs.sqlite [2/8] [==========48% ] qwen_util_bs.sqlite [2/8] [==========49% ] qwen_util_bs.sqlite [2/8] [===========50% ] qwen_util_bs.sqlite [2/8] [===========51% ] qwen_util_bs.sqlite [2/8] [===========52% ] qwen_util_bs.sqlite [2/8] [===========53% ] qwen_util_bs.sqlite [2/8] [============54% ] qwen_util_bs.sqlite [2/8] [============55% ] qwen_util_bs.sqlite [2/8] [============56% ] qwen_util_bs.sqlite [2/8] [============57% ] qwen_util_bs.sqlite [2/8] [=============58% ] qwen_util_bs.sqlite [2/8] [=============59% ] qwen_util_bs.sqlite [2/8] [=============60% ] qwen_util_bs.sqlite [2/8] [==============61% ] qwen_util_bs.sqlite [2/8] [==============62% ] qwen_util_bs.sqlite [2/8] [==============63% ] qwen_util_bs.sqlite [2/8] [==============64% ] qwen_util_bs.sqlite [2/8] [===============65% ] qwen_util_bs.sqlite [2/8] [===============66% ] qwen_util_bs.sqlite [2/8] [===============67% ] qwen_util_bs.sqlite [2/8] [================68% ] qwen_util_bs.sqlite [2/8] [================69% ] qwen_util_bs.sqlite [2/8] [================70% ] qwen_util_bs.sqlite [2/8] [================71% ] qwen_util_bs.sqlite [2/8] [=================72% ] qwen_util_bs.sqlite [2/8] [=================73% ] qwen_util_bs.sqlite [2/8] [=================74% ] qwen_util_bs.sqlite [2/8] [==================75% ] qwen_util_bs.sqlite [2/8] [==================76% ] qwen_util_bs.sqlite [2/8] [==================77% ] qwen_util_bs.sqlite [2/8] [==================78% ] qwen_util_bs.sqlite [2/8] [===================79% ] qwen_util_bs.sqlite [2/8] [===================80% ] qwen_util_bs.sqlite [2/8] [===================81% ] qwen_util_bs.sqlite [2/8] [===================82% ] qwen_util_bs.sqlite [2/8] [====================83% ] qwen_util_bs.sqlite [2/8] [====================84% ] qwen_util_bs.sqlite [2/8] [====================85% ] qwen_util_bs.sqlite [2/8] [=====================86% ] qwen_util_bs.sqlite [2/8] [=====================87% ] qwen_util_bs.sqlite [2/8] [=====================88% ] qwen_util_bs.sqlite [2/8] [=====================89% ] qwen_util_bs.sqlite [2/8] [======================90% ] qwen_util_bs.sqlite [2/8] [======================91% ] qwen_util_bs.sqlite [2/8] [======================92% ] qwen_util_bs.sqlite [2/8] [=======================93% ] qwen_util_bs.sqlite [2/8] [=======================94% ] qwen_util_bs.sqlite [2/8] [=======================95% ] qwen_util_bs.sqlite [2/8] [=======================96% ] qwen_util_bs.sqlite [2/8] [========================97% ] qwen_util_bs.sqlite [2/8] [========================98% ] qwen_util_bs.sqlite [2/8] [========================99% ] qwen_util_bs.sqlite [2/8] [========================100%] qwen_util_bs.sqlite [2/8] [========================100%] qwen_util_bs.sqlite
[3/8] Executing 'nvtx_sum' stats report
 Time (%) Total Time (ns) Instances Avg (ns) Med (ns) Min (ns) Max (ns) StdDev (ns) Style Range
-------- --------------- --------- --------------- --------------- ------------- ------------- ----------- ------- ------------
 32.8 5,115,252,310 1 5,115,252,310.0 5,115,252,310.0 5,115,252,310 5,115,252,310 0.0 PushPop :bs:128 qwen
 25.5 3,964,311,307 1 3,964,311,307.0 3,964,311,307.0 3,964,311,307 3,964,311,307 0.0 PushPop :bs:64 qwen
21.9 3,412,263,536 1 3,412,263,536.0 3,412,263,536.0 3,412,263,536 3,412,263,536 0.0 PushPop :bs:32 qwen
19.8 3,083,737,486 1 3,083,737,486.0 3,083,737,486.0 3,083,737,486 3,083,737,486 0.0 PushPop :bs:16 qwen
[4/8] Executing 'osrt_sum' stats report
 Time (%) Total Time (ns) Num Calls Avg (ns) Med (ns) Min (ns) Max (ns) StdDev (ns) Name
-------- ----------------- --------- ---------------- ---------------- --------- -------------- --------------- ----------------------
 81.5 1,370,973,183,949 96 14,280,970,666.1 13,375,999,749.0 133,132 15,604,144,341 1,919,025,045.4 pthread_cond_wait
8.8 148,715,278,362 4,676 31,803,951.7 5,002,643.5 1,009 34,336,697,739 821,232,877.1 epoll_wait
5.6 94,912,909,337 9,798 9,686,967.7 1,375.5 1,000 10,010,047,625 187,778,851.4 poll
1.6 26,570,890,385 12 2,214,240,865.4 165,453.5 99,894 10,000,097,576 4,093,524,018.4 sem_timedwait
1.4 24,098,966,884 4,104 5,872,068.0 5,385,563.5 146,730 18,879,015 1,264,152.9 sem_wait
0.9 15,505,809,401 65 238,550,913.9 456,999.0 10,476 500,098,586 251,665,440.9 pthread_cond_timedwait
 0.1 1,245,043,955 17,459 71,312.4 2,384.0 1,000 517,177,937 4,597,714.0 read
0.0 215,661,289 234 921,629.4 2,287.0 1,103 34,390,374 4,274,980.9 fopen
0.0 154,104,361 73,084 2,108.6 1,267.0 1,006 167,363 3,324.7 munmap
0.0 81,045,901 16 5,065,368.8 5,064,039.5 5,053,918 5,080,925 7,510.2 nanosleep
0.0 80,555,283 1,475 54,613.8 7,151.0 1,026 28,044,030 753,940.6 ioctl
0.0 54,719,358 67 816,706.8 3,552.0 1,029 18,800,673 3,782,575.7 open
0.0 51,541,123 2 25,770,561.5 25,770,561.5 1,044,901 50,496,222 34,967,364.4 fork
0.0 50,514,209 18,121 2,787.6 2,350.0 1,000 716,512 5,542.5 open64
0.0 48,865,146 569 85,879.0 1,055.0 1,000 42,675,079 1,790,964.1 waitpid
0.0 39,788,388 97 410,189.6 12,283.0 6,446 6,066,262 1,109,283.3 pthread_join
0.0 18,545,605 98 189,240.9 70,024.5 46,406 11,983,727 1,203,717.1 sleep
0.0 16,159,369 4,167 3,877.9 3,636.0 1,160 17,449 1,038.1 recv
0.0 13,480,816 3,260 4,135.2 2,216.5 1,000 1,471,516 26,612.3 mmap64
0.0 10,271,775 4,569 2,248.1 1,946.0 1,027 50,716 1,978.1 write
0.0 7,098,308 58 122,384.6 80,090.5 27,747 670,356 135,549.3 pthread_create
0.0 4,057,179 538 7,541.2 1,660.0 1,004 93,747 10,727.2 fgets
0.0 1,464,194 255 5,741.9 4,939.0 1,487 20,660 2,741.1 send
0.0 1,269,204 1,084 1,170.9 1,034.0 1,000 9,944 658.1 fclose
0.0 489,450 307 1,594.3 1,400.0 1,003 9,045 749.7 epoll_ctl
0.0 425,006 171 2,485.4 2,020.0 1,018 14,308 1,637.7 pthread_cond_signal
0.0 306,299 48 6,381.2 2,926.0 2,128 70,259 11,393.8 futex
0.0 254,267 42 6,054.0 5,096.0 2,110 16,888 3,347.8 pipe2
0.0 201,080 18 11,171.1 5,789.5 2,323 71,972 16,039.3 mmap
0.0 144,323 6 24,053.8 18,950.5 5,438 59,553 22,282.8 bind
0.0 129,607 5 25,921.4 21,642.0 16,639 48,236 12,693.9 pthread_mutex_lock
0.0 124,038 25 4,961.5 3,170.0 2,078 11,898 3,257.1 fopen64
0.0 85,284 9 9,476.0 9,089.0 4,110 16,407 3,605.8 socket
0.0 48,050 3 16,016.7 17,656.0 9,950 20,444 5,435.7 accept4
0.0 41,473 2 20,736.5 20,736.5 14,059 27,414 9,443.4 connect
0.0 38,324 15 2,554.9 2,128.0 1,231 5,855 1,264.6 stat
0.0 37,561 4 9,390.3 7,437.0 3,187 19,500 7,496.2 fread
0.0 29,294 14 2,092.4 2,214.5 1,057 3,087 692.1 dup2
0.0 28,412 18 1,578.4 1,291.5 1,031 4,781 850.6 fcntl
0.0 27,322 16 1,707.6 1,694.5 1,040 2,489 363.9 sigaction
0.0 24,199 4 6,049.8 5,448.0 5,073 8,230 1,480.2 lstat
0.0 23,534 7 3,362.0 4,194.0 1,117 5,334 1,850.2 fflush
0.0 19,487 3 6,495.7 5,131.0 4,816 9,540 2,641.2 pthread_cond_broadcast
 0.0 16,536 9 1,837.3 1,786.0 1,096 2,456 385.0 pread
0.0 12,881 3 4,293.7 4,369.0 4,063 4,449 203.7 fputs_unlocked
0.0 11,145 2 5,572.5 5,572.5 5,504 5,641 96.9 fwrite
0.0 10,851 4 2,712.8 2,681.0 2,427 3,062 310.7 mprotect
0.0 9,864 1 9,864.0 9,864.0 9,864 9,864 0.0 kill
0.0 6,254 4 1,563.5 1,699.5 SKIPPED: /data/cy/qwen_util_bs.sqlite does not contain CUDA kernel data.
SKIPPED: /data/cy/qwen_util_bs.sqlite does not contain GPU memory data.
SKIPPED: /data/cy/qwen_util_bs.sqlite does not contain GPU memory data.
1,040 1,815 353.3 listen
0.0 4,609 3 1,536.3 1,475.0 1,238 1,896 333.3 fstat
0.0 3,625 1 3,625.0 3,625.0 3,625 3,625 0.0 fputs
0.0 2,994 2 1,497.0 1,497.0 1,125 1,869 526.1 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
-------- --------------- --------- ------------ -------- -------- ----------- ------------ ----------------------
 100.0 151,119,781 12 12,593,315.1 20,533.0 3,744 150,954,978 43,572,624.4 cudaDeviceSynchronize
0.0 1,897 1 1,897.0 1,897.0 1,897 1,897 0.0 cuModuleGetLoadingMode
[6/8] Executing 'cuda_gpu_kern_sum' stats report
[7/8] Executing 'cuda_gpu_mem_time_sum' stats report
[8/8] Executing 'cuda_gpu_mem_size_sum' stats report
Generated:
 /data/cy/qwen_util_bs.nsys-rep
 /data/cy/qwen_util_bs.sqlite