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 08-13 19:02:19 [__init__.py:235] Automatically detected platform cuda.
CUDA_VISIBLE_DEVICES = 3
--- vLLM V1 基准测试（含 NVTX 标记）---
模型: Qwen/Qwen2-1.5B
批量大小: [1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
场景: ['prefill640_decode512']
------------------------------------------------------------
加载分词器/模型中...
INFO 08-13 19:02:29 [config.py:1604] Using max model len 4096
INFO 08-13 19:02:29 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=8192.
INFO 08-13 19:02:35 [__init__.py:235] Automatically detected platform cuda.
INFO 08-13 19:02:37 [core.py:572] Waiting for init message from front-end.
INFO 08-13 19:02:37 [core.py:71] Initializing a V1 LLM engine (v0.10.0) 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=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='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","vllm.mamba_mixer2"],"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 08-13 19:02:40 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
WARNING 08-13 19:02:40 [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 08-13 19:02:40 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen2-1.5B...
INFO 08-13 19:02:40 [gpu_model_runner.py:1875] Loading model from scratch...
INFO 08-13 19:02:40 [cuda.py:290] Using Flash Attention backend on V1 engine.
INFO 08-13 19:02:40 [weight_utils.py:296] Using model weights format ['*.safetensors']
INFO 08-13 19:02:41 [weight_utils.py:349] 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,  1.54it/s]

Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:00<00:00,  1.54it/s]

INFO 08-13 19:02:42 [default_loader.py:262] Loading weights took 0.75 seconds
INFO 08-13 19:02:42 [gpu_model_runner.py:1892] Model loading took 2.9105 GiB and 1.965894 seconds
INFO 08-13 19:02:48 [backends.py:530] Using cache directory: /home/cy/.cache/vllm/torch_compile_cache/40b61c71e9/rank_0_0/backbone for vLLM's torch.compile
INFO 08-13 19:02:48 [backends.py:541] Dynamo bytecode transform time: 6.08 s
INFO 08-13 19:02:53 [backends.py:194] Cache the graph for dynamic shape for later use
INFO 08-13 19:03:14 [backends.py:215] Compiling a graph for dynamic shape takes 25.33 s
INFO 08-13 19:03:21 [monitor.py:34] torch.compile takes 31.41 s in total
INFO 08-13 19:03:22 [gpu_worker.py:255] Available KV cache memory: 12.80 GiB
INFO 08-13 19:03:22 [kv_cache_utils.py:833] GPU KV cache size: 479,456 tokens
INFO 08-13 19:03:22 [kv_cache_utils.py:837] Maximum concurrency for 4,096 tokens per request: 117.05x

Capturing CUDA graph shapes:   0%|          | 0/67 [00:00<?, ?it/s]
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Capturing CUDA graph shapes:  66%|██████▌   | 44/67 [00:01<00:00, 33.90it/s]
Capturing CUDA graph shapes:  72%|███████▏  | 48/67 [00:01<00:00, 33.82it/s]
Capturing CUDA graph shapes:  78%|███████▊  | 52/67 [00:01<00:00, 33.31it/s]
Capturing CUDA graph shapes:  84%|████████▎ | 56/67 [00:01<00:00, 32.69it/s]
Capturing CUDA graph shapes:  90%|████████▉ | 60/67 [00:01<00:00, 32.47it/s]
Capturing CUDA graph shapes:  96%|█████████▌| 64/67 [00:01<00:00, 32.14it/s]
Capturing CUDA graph shapes: 100%|██████████| 67/67 [00:02<00:00, 32.94it/s]
INFO 08-13 19:03:25 [gpu_model_runner.py:2485] Graph capturing finished in 2 secs, took 0.49 GiB
INFO 08-13 19:03:25 [core.py:193] init engine (profile, create kv cache, warmup model) took 42.37 seconds
模型加载完成。

===== 场景：prefill640_decode512 | prefill=640, decode=512 =====

--- 批量大小 bs=1 ---

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Processed prompts: 100%|██████████| 1/1 [00:03<00:00,  3.33s/it, est. speed input: 192.34 toks/s, output: 153.87 toks/s]
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执行时间: 3.3360 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 512
吞吐(生成tokens/秒): 153.48
TTFT (V1 metrics): 0.0327 s
解码吞吐 (V1 metrics): 154.93 tok/s

--- 批量大小 bs=2 ---

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Adding requests: 100%|██████████| 2/2 [00:00<00:00, 199.19it/s]

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执行时间: 3.7300 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 1024
吞吐(生成tokens/秒): 274.53
TTFT (V1 metrics): 0.0158 s
解码吞吐 (V1 metrics): 137.84 tok/s

--- 批量大小 bs=4 ---

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Processed prompts:   0%|          | 0/4 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  25%|██▌       | 1/4 [00:03<00:10,  3.57s/it, est. speed input: 179.06 toks/s, output: 143.25 toks/s]
Processed prompts: 100%|██████████| 4/4 [00:03<00:00,  3.57s/it, est. speed input: 712.05 toks/s, output: 569.63 toks/s]
Processed prompts: 100%|██████████| 4/4 [00:03<00:00,  1.11it/s, est. speed input: 712.05 toks/s, output: 569.63 toks/s]
执行时间: 3.6164 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 2048
吞吐(生成tokens/秒): 566.30
TTFT (V1 metrics): 0.0169 s
解码吞吐 (V1 metrics): 142.63 tok/s

--- 批量大小 bs=8 ---

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Adding requests: 100%|██████████| 8/8 [00:00<00:00, 244.30it/s]

Processed prompts:   0%|          | 0/8 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Processed prompts:  12%|█▎        | 1/8 [00:03<00:25,  3.66s/it, est. speed input: 174.99 toks/s, output: 139.99 toks/s]
Processed prompts: 100%|██████████| 8/8 [00:03<00:00,  3.66s/it, est. speed input: 1386.86 toks/s, output: 1109.48 toks/s]
Processed prompts: 100%|██████████| 8/8 [00:03<00:00,  2.17it/s, est. speed input: 1386.86 toks/s, output: 1109.48 toks/s]
执行时间: 3.7265 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 4096
吞吐(生成tokens/秒): 1099.15
TTFT (V1 metrics): 0.0219 s
解码吞吐 (V1 metrics): 138.89 tok/s

--- 批量大小 bs=16 ---

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Processed prompts: 100%|██████████| 16/16 [00:03<00:00,  3.77s/it, est. speed input: 2675.36 toks/s, output: 2140.28 toks/s]
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执行时间: 3.8919 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 8192
吞吐(生成tokens/秒): 2104.89
TTFT (V1 metrics): 0.0329 s
解码吞吐 (V1 metrics): 133.82 tok/s

--- 批量大小 bs=32 ---

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Processed prompts:   0%|          | 0/32 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
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Processed prompts: 100%|██████████| 32/32 [00:03<00:00,  3.85s/it, est. speed input: 5210.52 toks/s, output: 4168.39 toks/s]
Processed prompts: 100%|██████████| 32/32 [00:03<00:00,  8.14it/s, est. speed input: 5210.52 toks/s, output: 4168.39 toks/s]
执行时间: 4.0341 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 16384
吞吐(生成tokens/秒): 4061.41
TTFT (V1 metrics): 0.0461 s
解码吞吐 (V1 metrics): 130.12 tok/s

--- 批量大小 bs=64 ---

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Processed prompts:  44%|████▍     | 28/64 [00:04<00:03,  9.28it/s, est. speed input: 4248.36 toks/s, output: 3398.66 toks/s]
Processed prompts: 100%|██████████| 64/64 [00:04<00:00,  9.28it/s, est. speed input: 9620.38 toks/s, output: 7696.26 toks/s]
Processed prompts: 100%|██████████| 64/64 [00:04<00:00, 15.03it/s, est. speed input: 9620.38 toks/s, output: 7696.26 toks/s]
执行时间: 4.4199 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 32768
吞吐(生成tokens/秒): 7413.77
TTFT (V1 metrics): 0.0691 s
解码吞吐 (V1 metrics): 120.00 tok/s

--- 批量大小 bs=128 ---

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Processed prompts:  13%|█▎        | 17/128 [00:05<00:27,  4.04it/s, est. speed input: 1857.18 toks/s, output: 1485.73 toks/s]
Processed prompts:  55%|█████▌    | 71/128 [00:05<00:02, 21.94it/s, est. speed input: 7625.06 toks/s, output: 6096.82 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:06<00:00, 21.94it/s, est. speed input: 13606.51 toks/s, output: 10866.05 toks/s]
Processed prompts: 100%|██████████| 128/128 [00:06<00:00, 21.26it/s, est. speed input: 13606.51 toks/s, output: 10866.05 toks/s]
执行时间: 6.2947 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 65421
吞吐(生成tokens/秒): 10393.02
TTFT (V1 metrics): 0.1218 s
解码吞吐 (V1 metrics): 84.64 tok/s

--- 批量大小 bs=256 ---

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Processed prompts: 100%|██████████| 256/256 [00:08<00:00, 24.03it/s, est. speed input: 19279.66 toks/s, output: 15423.69 toks/s]
Processed prompts: 100%|██████████| 256/256 [00:08<00:00, 30.12it/s, est. speed input: 19279.66 toks/s, output: 15423.69 toks/s]
执行时间: 9.2625 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 131072
吞吐(生成tokens/秒): 14150.76
TTFT (V1 metrics): 0.4813 s
解码吞吐 (V1 metrics): 59.00 tok/s

--- 批量大小 bs=512 ---

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Processed prompts: 100%|██████████| 512/512 [00:13<00:00, 334.87it/s, est. speed input: 24865.42 toks/s, output: 19892.30 toks/s]
Processed prompts: 100%|██████████| 512/512 [00:13<00:00, 38.85it/s, est. speed input: 24865.42 toks/s, output: 19892.30 toks/s] 
执行时间: 14.1481 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 262144
吞吐(生成tokens/秒): 18528.59
TTFT (V1 metrics): 0.4908 s
解码吞吐 (V1 metrics): 38.46 tok/s

--- 批量大小 bs=1024 ---

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Processed prompts:  22%|██▏       | 225/1024 [00:24<00:05, 156.64it/s, est. speed input: 5806.81 toks/s, output: 4645.44 toks/s]
Processed prompts:  24%|██▍       | 249/1024 [00:24<00:04, 176.31it/s, est. speed input: 6399.91 toks/s, output: 5119.91 toks/s]
Processed prompts:  28%|██▊       | 287/1024 [00:25<00:03, 212.13it/s, est. speed input: 7338.05 toks/s, output: 5870.43 toks/s]
Processed prompts:  32%|███▏      | 331/1024 [00:25<00:02, 251.91it/s, est. speed input: 8419.80 toks/s, output: 6735.82 toks/s]
Processed prompts:  38%|███▊      | 390/1024 [00:25<00:01, 321.26it/s, est. speed input: 9873.47 toks/s, output: 7898.76 toks/s]
Processed prompts:  44%|████▍     | 450/1024 [00:25<00:01, 372.36it/s, est. speed input: 11338.05 toks/s, output: 9070.42 toks/s]
Processed prompts:  50%|█████     | 512/1024 [00:25<00:01, 435.95it/s, est. speed input: 12849.49 toks/s, output: 10279.57 toks/s]
Processed prompts:  60%|█████▉    | 612/1024 [00:25<00:00, 571.12it/s, est. speed input: 15292.72 toks/s, output: 12234.15 toks/s]
Processed prompts:  95%|█████████▌| 976/1024 [00:25<00:00, 1391.11it/s, est. speed input: 24289.89 toks/s, output: 19431.89 toks/s]
Processed prompts: 100%|██████████| 1024/1024 [00:25<00:00, 1391.11it/s, est. speed input: 25307.94 toks/s, output: 20246.33 toks/s]
Processed prompts: 100%|██████████| 1024/1024 [00:25<00:00, 39.54it/s, est. speed input: 25307.94 toks/s, output: 20246.33 toks/s]  
[rank0]:[W813 19:04:51.071947265 ProcessGroupNCCL.cpp:1479] 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())
执行时间: 27.7908 s
实际平均输入 tokens: 640.00（目标 640）
生成总 tokens: 524288
吞吐(生成tokens/秒): 18865.49
TTFT (V1 metrics): 0.9638 s
解码吞吐 (V1 metrics): 19.72 tok/s

完成。提示：在 Nsight Systems 中可通过 NVTX 区间快速定位各场景/批量的调用。
GPU 3: General Metrics for NVIDIA AD10x (any frequency)
Generating '/tmp/nsys-report-e7ae.qdstrm'

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[2/8] [========================97% ] traverse_bs_util_std.sqlite
[2/8] [========================98% ] traverse_bs_util_std.sqlite
[2/8] [========================99% ] traverse_bs_util_std.sqlite
[2/8] [========================100%] traverse_bs_util_std.sqlite
[2/8] [========================100%] traverse_bs_util_std.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                  
 --------  ---------------  ---------  ----------------  ----------------  --------------  --------------  -----------  -------  ----------------------------------------
     43.1   63,806,267,138          1  63,806,267,138.0  63,806,267,138.0  63,806,267,138  63,806,267,138          0.0  PushPop  :LLM_init                               
     18.8   27,790,304,411          1  27,790,304,411.0  27,790,304,411.0  27,790,304,411  27,790,304,411          0.0  PushPop  :generate [prefill640_decode512] bs=1024
      9.6   14,147,468,287          1  14,147,468,287.0  14,147,468,287.0  14,147,468,287  14,147,468,287          0.0  PushPop  :generate [prefill640_decode512] bs=512 
      6.3    9,262,392,366          1   9,262,392,366.0   9,262,392,366.0   9,262,392,366   9,262,392,366          0.0  PushPop  :generate [prefill640_decode512] bs=256 
      4.3    6,294,556,076          1   6,294,556,076.0   6,294,556,076.0   6,294,556,076   6,294,556,076          0.0  PushPop  :generate [prefill640_decode512] bs=128 
      3.0    4,419,734,921          1   4,419,734,921.0   4,419,734,921.0   4,419,734,921   4,419,734,921          0.0  PushPop  :generate [prefill640_decode512] bs=64  
      2.7    4,033,922,062          1   4,033,922,062.0   4,033,922,062.0   4,033,922,062   4,033,922,062          0.0  PushPop  :generate [prefill640_decode512] bs=32  
      2.6    3,891,757,396          1   3,891,757,396.0   3,891,757,396.0   3,891,757,396   3,891,757,396          0.0  PushPop  :generate [prefill640_decode512] bs=16  
      2.5    3,729,817,085          1   3,729,817,085.0   3,729,817,085.0   3,729,817,085   3,729,817,085          0.0  PushPop  :generate [prefill640_decode512] bs=2   
      2.5    3,726,348,651          1   3,726,348,651.0   3,726,348,651.0   3,726,348,651   3,726,348,651          0.0  PushPop  :generate [prefill640_decode512] bs=8   
      2.4    3,616,307,172          1   3,616,307,172.0   3,616,307,172.0   3,616,307,172   3,616,307,172          0.0  PushPop  :generate [prefill640_decode512] bs=4   
      2.3    3,335,871,818          1   3,335,871,818.0   3,335,871,818.0   3,335,871,818   3,335,871,818          0.0  PushPop  :generate [prefill640_decode512] bs=1   
      0.0           88,217          2          44,108.5          44,108.5          42,206          46,011      2,690.5  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         
 --------  -----------------  ---------  ---------------  ----------------  ---------  ---------------  ---------------  ----------------------
     30.2  1,744,937,975,193     54,559     31,982,587.2          36,252.0      1,000  131,944,469,826  1,264,387,583.2  pthread_cond_timedwait
     24.4  1,409,850,293,508     90,937     15,503,593.6      10,063,900.0      1,000   89,656,403,165    542,281,129.3  epoll_wait            
     24.3  1,405,293,461,182      2,062    681,519,622.3         169,137.0      1,777  131,946,128,306  9,309,452,118.6  pthread_cond_wait     
      8.2    470,649,973,426         67  7,024,626,469.0  10,000,075,590.0      8,879   10,000,128,605  4,563,470,551.8  sem_timedwait         
      7.6    440,451,323,826     42,747     10,303,678.0           1,400.0      1,000   13,214,170,856    151,629,150.0  poll                  
      2.6    148,761,603,454     44,756      3,323,836.0           2,218.0      1,000  130,016,250,506    617,021,890.8  read                  
      2.4    141,326,431,455     11,558     12,227,585.3       7,211,303.0     21,424      658,160,680     14,124,156.6  sem_wait              
      0.1      5,907,485,407        725      8,148,255.7           1,042.0      1,000      442,887,066     44,916,303.4  waitpid               
      0.0      1,252,683,205    505,872          2,476.3           1,440.0      1,006       94,581,342        133,009.9  munmap                
      0.0        907,262,068        353      2,570,147.5       1,227,045.0      1,197       26,263,430      3,108,782.5  pthread_rwlock_wrlock 
      0.0        708,053,362        172      4,116,589.3         615,554.5      3,112       29,565,907      7,196,056.2  pthread_join          
      0.0        327,596,329     10,080         32,499.6          10,962.5      1,000       29,220,721        379,953.4  ioctl                 
      0.0        261,805,946        495        528,900.9           2,972.0      1,077       19,958,090      3,072,110.4  fopen                 
      0.0        160,631,905     36,713          4,375.3           3,385.0      1,000        1,692,951         12,061.0  mmap64                
      0.0        150,219,603      6,263         23,985.2           8,256.0      1,010        2,585,639        128,799.4  pthread_mutex_lock    
      0.0        126,650,615         25      5,066,024.6       5,065,286.0  5,053,603        5,077,238          7,361.7  nanosleep             
      0.0         99,487,929     31,988          3,110.2           2,516.0      1,000           75,099          2,795.8  open64                
      0.0         90,344,763      9,083          9,946.6           4,712.0      1,148        2,648,924         36,587.2  recv                  
      0.0         84,823,390      9,082          9,339.7           5,735.5      1,468           89,916          8,146.6  send                  
      0.0         78,685,390     43,321          1,816.3           1,662.0      1,000          354,334          2,967.5  pthread_cond_signal   
      0.0         69,793,423      5,751         12,135.9           2,001.0      1,035       19,751,200        420,727.9  open                  
      0.0         66,948,530     15,954          4,196.3           2,557.0      1,010          575,245         10,386.1  write                 
      0.0         50,999,387         10      5,099,938.7          19,477.5      9,808       50,802,125     16,058,116.0  connect               
      0.0         18,140,344     11,019          1,646.3           1,411.0      1,000           24,064            709.4  epoll_ctl             
      0.0         18,080,692        280         64,573.9          51,655.5     16,288          578,620         60,626.8  pthread_create        
      0.0          9,776,017        147         66,503.5          68,572.0     55,588           85,413          5,091.0  sleep                 
      0.0          7,076,518         18        393,139.9         383,949.5    262,109          584,262         85,377.7  posix_spawn           
      0.0          6,601,831        899          7,343.5           5,539.0      1,010           84,493          9,244.8  fgets                 
      0.0          5,962,720         22        271,032.7         169,725.0     16,478          675,901        237,522.4  pthread_rwlock_rdlock 
      0.0          3,506,178        342         10,252.0           2,354.5      1,006          207,881         30,027.2  pthread_cond_broadcast
      0.0          3,013,330      1,417          2,126.6           1,083.0      1,008          110,583          7,412.5  fclose                
      0.0          2,975,781      1,319          2,256.1           1,598.0      1,000           22,362          1,984.6  stat                  
      0.0          2,885,075        692          4,169.2           4,026.5      1,238           45,085          4,258.3  fopen64               
      0.0          2,145,928        345          6,220.1           3,291.0      1,000           51,101          8,060.8  fread                 
      0.0          1,950,425         65         30,006.5           3,106.0      1,201          261,266         71,483.9  futex                 
      0.0          1,877,146        336          5,586.7           4,406.0      1,002           83,435          6,148.2  mmap                  
      0.0          1,741,859        102         17,077.0           4,155.5      1,030          432,266         67,240.1  fwrite                
      0.0          1,680,806      1,203          1,397.2           1,251.0      1,000            8,322            493.0  fstat                 
      0.0          1,075,803          1      1,075,803.0       1,075,803.0  1,075,803        1,075,803              0.0  fork                  
      0.0            721,566         99          7,288.5           6,229.0      2,560           17,976          3,711.4  pipe2                 
      0.0            595,674         19         31,351.3           5,092.0      4,006          383,239         86,162.0  putc                  
      0.0            248,534         41          6,061.8           4,850.0      1,628           18,035          4,032.6  socket                
      0.0            183,085        115          1,592.0           1,513.0      1,001            2,876            429.3  sigaction             
      0.0            167,627         16         10,476.7           2,835.5      1,086           55,140         16,437.5  bind                  
      0.0            115,447          8         14,430.9           6,418.0      3,542           41,638         15,571.8  fputs                 
      0.0             93,879         16          5,867.4           5,035.0      1,640           14,112          3,769.0  lstat                 
      0.0             60,214          6         10,035.7          10,003.0      9,288           10,680            531.1  getc                  
      0.0             49,588         27          1,836.6           1,677.0      1,019            2,939            596.6  dup2                  
      0.0             47,084         37          1,272.5           1,112.0      1,002            3,284            431.2  fcntl                 
      0.0             37,610         24          1,567.1           1,488.5      1,021            2,512            357.1  signal                
      0.0             35,001          5          7,000.2           7,792.0      3,662           10,502          2,759.1  accept4               
      0.0             31,541          9          3,504.6           4,424.0      1,078            6,400          2,269.5  fflush                
      0.0             15,432          4          3,858.0           3,690.5      2,526            5,525          1,477.8  flock                 
      0.0             15,311         11          1,391.9           1,301.0      1,125            1,918            254.0  listen                
      0.0             14,040          8          1,755.0           1,552.0      1,310            3,235            642.4  pread                 
      0.0             12,841          3          4,280.3           4,425.0      3,921            4,495            313.2  fputs_unlocked        
      0.0             12,488          5          2,497.6           2,496.0      2,206            2,947            282.0  mprotect              
      0.0             10,666          1         10,666.0          10,666.0     10,666           10,666              0.0  dup                   
      0.0              6,561          3          2,187.0           1,727.0      1,636            3,198            876.7  flockfile             
      0.0              6,208          1          6,208.0           6,208.0      6,208            6,208              0.0  kill                  
      0.0              3,788          2          1,894.0           1,894.0      1,355            2,433            762.3  openat64              
      0.0              2,317          2          1,158.5           1,158.5      1,025            1,292            188.8  pthread_mutex_trylock 

[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                   
 --------  ---------------  ---------  -----------  -----------  --------  -----------  -----------  ------------------------------------------
     54.0   18,079,332,597     62,830    287,750.0      8,213.0     2,790  112,775,333  1,983,727.7  cudaMemcpyAsync                           
     21.3    7,151,454,905  1,151,462      6,210.8      4,908.0       775   60,344,468    100,074.1  cudaLaunchKernel                          
     13.9    4,659,698,239      3,031  1,537,346.8     36,322.0     1,646  137,811,508  5,892,401.8  cudaDeviceSynchronize                     
      5.7    1,902,754,251    154,454     12,319.2     10,944.0     7,132    6,919,461     39,439.6  cudaGraphLaunch_v10000                    
      2.4      817,695,167    151,595      5,393.9      4,998.0       606    8,288,395     63,229.0  cuLaunchKernel                            
      0.7      225,761,461      1,943    116,192.2     74,685.0    38,766    1,503,454    195,876.4  cudaGraphInstantiateWithFlags_v11040      
      0.4      145,677,030     27,893      5,222.7      5,401.0       170    3,577,542     23,514.0  cudaMemsetAsync                           
      0.4      123,078,496    156,852        784.7        749.0       293       28,187        217.2  cudaStreamIsCapturing_v10000              
      0.2       80,818,259     41,653      1,940.3      1,901.0     1,681      230,930      1,185.3  cudaEventRecord                           
      0.2       70,123,080     11,007      6,370.8      2,991.0     1,576   11,464,127    117,490.1  cudaStreamSynchronize                     
      0.2       54,985,787        222    247,683.7    127,094.5    70,289    2,353,583    356,501.3  cudaFree                                  
      0.1       39,808,657        349    114,064.9    107,734.0     9,252    1,028,648     56,280.0  cudaMalloc                                
      0.1       33,850,909     41,671        812.3        782.0       275      186,043        928.6  cudaEventCreateWithFlags                  
      0.1       25,030,442         10  2,503,044.2  2,591,457.0    57,483    4,465,642  1,429,904.6  cuLibraryLoadData                         
      0.1       20,138,251        281     71,666.4     73,047.0    25,875      416,759     45,705.2  cuModuleLoadData                          
      0.1       18,115,827     41,653        434.9        403.0       338      226,830      1,887.5  cudaEventDestroy                          
      0.1       17,924,935     16,808      1,066.5        493.0       261    6,344,359     50,228.8  cuKernelGetFunction                       
      0.0        9,263,417     18,895        490.3        467.0       322        6,477        105.4  cudaStreamGetCaptureInfo_v2_v11030        
      0.0        7,974,210      1,943      4,104.1      4,022.0     3,214        9,676        584.5  cudaStreamBeginCapture_v10000             
      0.0        7,518,878      1,943      3,869.7      3,828.0     2,357        7,833        536.7  cudaGraphDestroy_v10000                   
      0.0        3,416,827        128     26,694.0      2,299.0     1,471    1,153,703    140,616.2  cudaStreamCreateWithPriority              
      0.0        2,744,082      1,943      1,412.3      1,389.0     1,050        7,178        196.6  cudaStreamEndCapture_v10000               
      0.0        1,570,575      1,943        808.3        739.0       614        2,547        251.2  cudaGraphGetNodes_v10000                  
      0.0        1,322,243         15     88,149.5      6,436.0     3,579    1,170,830    300,044.6  cudaHostAlloc                             
      0.0          280,352          8     35,044.0     26,955.5    12,673      101,212     28,421.5  cudaMemGetInfo                            
      0.0          138,906        810        171.5        140.0        79        1,705        118.0  cuGetProcAddress_v2                       
      0.0           23,009         16      1,438.1        808.5       451        5,531      1,508.2  cuLibraryGetKernel                        
      0.0            8,159         14        582.8        544.5       324          990        193.4  cudaThreadExchangeStreamCaptureMode_v10010
      0.0            4,031          1      4,031.0      4,031.0     4,031        4,031          0.0  cudaStreamWaitEvent                       
      0.0            3,969          3      1,323.0      1,051.0     1,031        1,887        488.5  cuInit                                    
      0.0            3,693          4        923.3        916.5        75        1,785        960.8  cuModuleGetLoadingMode                    
      0.0            1,064          2        532.0        532.0       356          708        248.9  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                                                
 --------  ---------------  ---------  -----------  -----------  ---------  ---------  -----------  ----------------------------------------------------------------------------------------------------
     30.6   11,421,290,038    118,048     96,751.2     42,337.0     12,320    576,069    124,175.4  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
     20.4    7,605,306,813     28,807    264,009.0    265,858.0     32,961    765,542    115,223.0  ampere_bf16_s1688gemm_bf16_64x128_sliced1x2_ldg8_f2f_tn                                             
      8.8    3,277,208,753     47,634     68,799.8     77,473.0        800     81,121     21,559.5  void at::native::vectorized_elementwise_kernel<(int)4, at::native::FillFunctor<int>, std::array<cha…
      5.6    2,083,505,861      1,271  1,639,265.0  1,387,852.0     39,745  4,515,436  1,121,994.0  ampere_bf16_s1688gemm_bf16_128x128_ldg8_f2f_stages_32x1_tn                                          
      5.1    1,891,072,505     20,210     93,571.1     20,224.0      1,055    481,762    169,672.7  triton_poi_fused_mul_silu_1                                                                         
      4.3    1,624,497,751    101,584     15,991.7      8,544.0      6,367     81,025     11,832.8  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
      3.3    1,229,556,187      9,203    133,603.8     42,977.0      7,648    557,317    169,265.9  void cutlass::Kernel2<cutlass_80_tensorop_bf16_s16816gemm_relu_bf16_64x64_32x6_tn_align8>(T1::Param…
      2.5      940,467,368      5,865    160,352.5     13,312.0      1,984  1,008,298    288,283.2  void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIterator…
      2.2      808,325,696      2,044    395,462.7    496,644.0     10,592    510,980    192,958.7  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x2_tn_align8>(T1::Par…
      1.9      720,826,362      5,867    122,861.1      9,824.0      5,120    714,183    210,401.9  void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::ArgMaxOps<…
      1.8      666,198,895    287,392      2,318.1      1,920.0      1,536      6,368        968.2  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::n…
      1.6      609,901,106      6,048    100,843.4     32,161.0      6,912  3,159,614    305,220.1  void flash::flash_fwd_splitkv_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (int)4, (…
      1.5      576,753,139     13,496     42,735.1     42,624.0     26,016    102,081      3,914.6  ampere_bf16_s1688gemm_bf16_128x64_sliced1x2_ldg8_relu_f2f_tn                                        
      1.3      487,869,104     13,020     37,470.7     37,440.0     36,640     42,816        321.1  ampere_bf16_s1688gemm_bf16_64x64_sliced1x4_ldg8_f2f_tn                                              
      1.2      431,150,928     22,086     19,521.5      3,489.0      1,344     75,104     27,792.8  triton_poi_fused_cat_3                                                                              
      0.9      347,479,864        341  1,019,002.5    598,630.0    373,475  2,788,687    741,262.9  ampere_bf16_s16816gemm_bf16_128x64_ldg8_f2f_tn                                                      
      0.8      316,815,668      1,904    166,394.8    154,193.5     40,352  1,291,207    149,498.4  ampere_bf16_s1688gemm_bf16_128x64_sliced1x2_ldg8_f2f_tn                                             
      0.7      264,631,581        521    507,930.1    507,844.0    506,244    519,973        763.9  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x1_tn_align8>(T1::Par…
      0.7      258,705,730        610    424,107.8    487,972.0      6,976    500,003    159,920.1  std::enable_if<!T7, void>::type internal::gemvx::kernel<int, int, __nv_bfloat16, __nv_bfloat16, __n…
      0.7      248,913,221    164,164      1,516.2      1,280.0      1,023     13,249        475.7  void vllm::reshape_and_cache_flash_kernel<__nv_bfloat16, __nv_bfloat16, (vllm::Fp8KVCacheDataType)0…
      0.6      206,205,114     57,848      3,564.6      3,584.0      3,295      3,936        112.4  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.5      203,900,076    143,696      1,419.0      1,344.0      1,183      2,208        221.7  void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::n…
      0.5      189,670,922     16,968     11,178.2     12,256.0      1,536    111,105      5,147.2  triton_red_fused__to_copy_add_mean_mul_pow_rsqrt_2                                                  
      0.5      173,673,906     22,086      7,863.5      2,368.0        832     25,696      9,575.0  triton_poi_fused_view_5                                                                             
      0.5      170,442,702     61,516      2,770.7      2,432.0      1,247     17,088      1,351.4  void vllm::merge_attn_states_kernel<__nv_bfloat16, (unsigned int)128>(T1 *, float *, const T1 *, co…
      0.3       95,480,145     22,086      4,323.1      1,376.0      1,215     15,104      5,013.1  triton_poi_fused_cat_4                                                                              
      0.2       88,249,892     16,968      5,201.0      5,473.0      1,535     80,096      3,526.8  triton_red_fused__to_copy_add_mean_mul_pow_rsqrt_0                                                  
      0.2       58,167,224     15,232      3,818.8      3,840.0      3,711      4,032         31.4  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.1       45,137,635     14,420      3,130.2      3,167.0      3,008      3,457         59.7  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.1       43,394,155     14,084      3,081.1      3,072.0      3,008      3,200         19.7  void flash::flash_fwd_splitkv_combine_kernel<Flash_fwd_kernel_traits<(int)128, (int)64, (int)128, (…
      0.1       39,138,907          8  4,892,363.4  4,849,279.0  4,795,198  5,088,513    110,842.2  void at_cuda_detail::cub::DeviceSegmentedRadixSortKernel<at_cuda_detail::cub::DeviceRadixSortPolicy…
      0.1       22,694,961        784     28,947.7     12,575.5     11,744     62,528     20,606.8  ampere_bf16_s16816gemm_bf16_64x64_ldg8_f2f_stages_64x5_tn                                           
      0.1       20,952,447      5,999      3,492.7      3,104.0      2,751      7,392        961.1  void at::native::index_elementwise_kernel<(int)128, (int)4, void at::native::gpu_index_kernel<void …
      0.1       20,383,074          4  5,095,768.5  5,085,968.5  4,915,359  5,295,778    195,206.9  void at_cuda_detail::cub::DeviceSegmentedRadixSortKernel<at_cuda_detail::cub::DeviceRadixSortPolicy…
      0.0       15,859,055        818     19,387.6      3,136.0      1,600     74,881     27,973.6  triton_poi_fused_cat_1                                                                              
      0.0       14,288,503         28    510,303.7    511,683.0    469,923    513,059      7,932.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::FillFunctor<signed char>, std::a…
      0.0        9,813,089          4  2,453,272.3  2,468,672.5  2,391,504  2,484,240     42,132.0  void at::native::<unnamed>::cunn_SoftMaxForward<(int)4, float, float, float, at::native::<unnamed>:…
      0.0        9,653,448        448     21,547.9     21,345.0     21,120     24,928        817.3  ampere_bf16_s16816gemm_bf16_128x64_ldg8_f2f_stages_32x6_tn                                          
      0.0        9,408,780      5,863      1,604.8      1,376.0      1,120      2,752        455.9  void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIterator…
      0.0        8,489,112        224     37,897.8     37,856.0     36,545     39,328        536.2  void cutlass::Kernel2<cutlass_80_tensorop_bf16_s16816gemm_relu_bf16_64x128_32x6_tn_align8>(T1::Para…
      0.0        8,311,916         28    296,854.1    294,593.5    293,505    332,482      7,194.4  ampere_bf16_s1688gemm_bf16_128x128_ldg8_relu_f2f_stages_32x1_tn                                     
      0.0        7,845,574      9,023        869.5        864.0        767      1,281         77.2  void at::native::vectorized_elementwise_kernel<(int)2, at::native::FillFunctor<long>, std::array<ch…
      0.0        7,775,377          2  3,887,688.5  3,887,688.5  3,705,239  4,070,138    258,022.6  void at::native::_scatter_gather_elementwise_kernel<(int)128, (int)8, void at::native::_cuda_scatte…
      0.0        7,471,240      5,865      1,273.9      1,120.0        991      2,080        282.3  void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIterator…
      0.0        7,214,254        336     21,471.0     21,408.0     21,056     22,625        299.8  ampere_bf16_s16816gemm_bf16_128x64_ldg8_relu_f2f_stages_64x3_tn                                     
      0.0        6,324,707        818      7,731.9      2,368.0        863     24,832      9,334.7  triton_poi_fused_view_3                                                                             
      0.0        6,169,925        476     12,962.0     12,864.0     11,776     14,304        602.5  ampere_bf16_s16816gemm_bf16_64x64_ldg8_relu_f2f_stages_64x5_tn                                      
      0.0        5,903,909          4  1,475,977.3  1,475,449.0  1,472,585  1,480,426      3,980.7  void at::native::vectorized_elementwise_kernel<(int)4, at::native::<unnamed>::masked_fill_kernel(at…
      0.0        5,501,036      5,863        938.3        928.0        895      1,312         71.9  void at::native::unrolled_elementwise_kernel<at::native::CUDAFunctorOnSelf_add<int>, std::array<cha…
      0.0        4,936,334         28    176,297.6    176,817.5    174,209    178,978      1,446.6  ampere_bf16_s1688gemm_bf16_64x128_sliced1x2_ldg8_relu_f2f_tn                                        
      0.0        4,754,998      5,432        875.4        864.0        800      1,217         36.3  void at::native::unrolled_elementwise_kernel<at::native::FillFunctor<int>, std::array<char *, (unsi…
      0.0        3,995,930          2  1,997,965.0  1,997,965.0  1,996,108  1,999,822      2,626.2  void at::native::vectorized_elementwise_kernel<(int)4, at::native::BinaryFunctor<float, float, floa…
      0.0        3,598,526         56     64,259.4     64,320.5     63,104     65,313        559.8  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_64x1_tn_align8>(T1::Para…
      0.0        3,541,818        818      4,329.9      1,376.0      1,215     14,815      5,022.4  triton_poi_fused_cat_2                                                                              
      0.0        3,434,102          4    858,525.5    858,069.5    855,685    862,278      2,939.8  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::n…
      0.0        3,192,725          2  1,596,362.5  1,596,362.5  1,563,050  1,629,675     47,111.0  void at::native::tensor_kernel_scan_innermost_dim<float, std::plus<float>>(T1 *, const T1 *, unsign…
      0.0        2,897,906      1,512      1,916.6      1,824.0      1,312      2,976        438.1  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, __nv_bfloat16, __nv_bfloat16, float, (boo…
      0.0        2,593,403        606      4,279.5      4,384.0      1,984     35,904      1,445.1  triton_red_fused__to_copy_add_embedding_mean_mul_pow_rsqrt_0                                        
      0.0        2,582,288          2  1,291,144.0  1,291,144.0  1,290,536  1,291,752        859.8  at::native::<unnamed>::fill_reverse_indices_kernel(long *, int, at::cuda::detail::IntDivider<unsign…
      0.0        2,580,625          2  1,290,312.5  1,290,312.5  1,288,393  1,292,232      2,714.6  void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::n…
      0.0        2,421,451        112     21,620.1     21,552.0      9,376     34,400     12,006.5  void cutlass::Kernel2<cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_128x2_tn_align8>(T1::Par…
      0.0        1,377,256          2    688,628.0    688,628.0    682,820    694,436      8,213.8  void at::native::<unnamed>::distribution_elementwise_grid_stride_kernel<float, (int)4, void at::nat…
      0.0        1,128,024      1,252        901.0        896.0        800      1,280         45.2  void at::native::vectorized_elementwise_kernel<(int)2, at::native::FillFunctor<int>, std::array<cha…
      0.0          957,446         28     34,194.5     34,768.5     17,983     35,232      3,184.5  std::enable_if<!T7, void>::type internal::gemvx::kernel<int, int, __nv_bfloat16, float, float, floa…
      0.0          670,018        731        916.6        928.0        863      1,024         22.0  void at::native::unrolled_elementwise_kernel<at::native::FillFunctor<long>, std::array<char *, (uns…
      0.0          296,898        168      1,767.3      1,760.0      1,536      2,080        121.8  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, __nv_bfloat16, __nv_bfloat16, float, (boo…
      0.0          157,249          1    157,249.0    157,249.0    157,249    157,249          0.0  void at::native::<unnamed>::CatArrayBatchedCopy_aligned16_contig<at::native::<unnamed>::OpaqueType<…
      0.0           90,491         86      1,052.2        927.5        895     11,488      1,139.9  void at::native::vectorized_elementwise_kernel<(int)4, at::native::FillFunctor<c10::BFloat16>, std:…
      0.0           78,785          1     78,785.0     78,785.0     78,785     78,785          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::bfloat16_copy_kernel_cuda(at::Te…
      0.0           43,232          1     43,232.0     43,232.0     43,232     43,232          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::sin_kernel_cuda(at::TensorIterat…
      0.0           36,737         28      1,312.0      1,312.0      1,280      1,344         17.4  void cublasLt::splitKreduce_kernel<(int)32, (int)16, int, float, __nv_bfloat16, float, (bool)0, __n…
      0.0           26,432          1     26,432.0     26,432.0     26,432     26,432          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::cos_kernel_cuda(at::TensorIterat…
      0.0           19,520          1     19,520.0     19,520.0     19,520     19,520          0.0  void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::n…
      0.0           11,713         11      1,064.8        864.0        800      1,536        305.4  void at::native::vectorized_elementwise_kernel<(int)4, at::native::FillFunctor<float>, std::array<c…
      0.0           10,624          2      5,312.0      5,312.0      5,024      5,600        407.3  void at::native::_scatter_gather_elementwise_kernel<(int)128, (int)8, void at::native::_cuda_scatte…
      0.0            8,639          2      4,319.5      4,319.5      4,128      4,511        270.8  void at::native::<unnamed>::distribution_elementwise_grid_stride_kernel<float, (int)4, void at::nat…
      0.0            3,616          2      1,808.0      1,808.0      1,600      2,016        294.2  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::n…
      0.0            3,489          2      1,744.5      1,744.5      1,696      1,793         68.6  void at::native::vectorized_elementwise_kernel<(int)2, at::native::CUDAFunctorOnOther_add<long>, st…
      0.0            3,103          2      1,551.5      1,551.5      1,503      1,600         68.6  void at::native::vectorized_elementwise_kernel<(int)2, at::native::<unnamed>::where_kernel_impl(at:…
      0.0            2,976          2      1,488.0      1,488.0      1,376      1,600        158.4  void at::native::vectorized_elementwise_kernel<(int)4, void at::native::compare_scalar_kernel<float…
      0.0            2,975          2      1,487.5      1,487.5        991      1,984        702.2  void <unnamed>::elementwise_kernel_with_index<int, at::native::arange_cuda_out(const c10::Scalar &,…
      0.0            2,944          2      1,472.0      1,472.0      1,344      1,600        181.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnOther_add<float>, s…
      0.0            2,400          1      2,400.0      2,400.0      2,400      2,400          0.0  void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl<at::native::…
      0.0            1,185          1      1,185.0      1,185.0      1,185      1,185          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::reciprocal_kernel_cuda(at::Tenso…
      0.0            1,025          1      1,025.0      1,025.0      1,025      1,025          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::AUnaryFunctor<float, float, floa…
      0.0            1,025          1      1,025.0      1,025.0      1,025      1,025          0.0  void at::native::vectorized_elementwise_kernel<(int)4, at::native::BUnaryFunctor<float, float, floa…
      0.0              896          1        896.0        896.0        896        896          0.0  void at::native::vectorized_elementwise_kernel<(int)2, at::native::FillFunctor<double>, std::array<…

[7/8] Executing 'cuda_gpu_mem_time_sum' stats report

 Time (%)  Total Time (ns)  Count   Avg (ns)  Med (ns)  Min (ns)   Max (ns)    StdDev (ns)            Operation           
 --------  ---------------  ------  --------  --------  --------  -----------  -----------  ------------------------------
     93.8      627,226,731  42,463  14,771.1     352.0       320  112,333,155    587,539.7  [CUDA memcpy Host-to-Device]  
      2.8       18,735,373  14,448   1,296.7     928.0       895    1,362,505     22,615.1  [CUDA memcpy Device-to-Device]
      2.4       16,204,705  24,393     664.3     768.0       320        8,224        282.8  [CUDA memset]                 
      1.0        6,719,471   5,919   1,135.2   1,120.0       863        1,920        102.9  [CUDA memcpy Device-to-Host]  

[8/8] Executing 'cuda_gpu_mem_size_sum' stats report

 Total (MB)  Count   Avg (MB)  Med (MB)  Min (MB)  Max (MB)  StdDev (MB)            Operation           
 ----------  ------  --------  --------  --------  --------  -----------  ------------------------------
  4,194.770  42,463     0.099     0.000     0.000   466.747        2.582  [CUDA memcpy Host-to-Device]  
  2,533.618  14,448     0.175     0.003     0.000   622.330       10.354  [CUDA memcpy Device-to-Device]
     17.613  24,393     0.001     0.001     0.000     0.006        0.000  [CUDA memset]                 
      4.192   5,919     0.001     0.000     0.000     0.004        0.001  [CUDA memcpy Device-to-Host]  

Generated:
    /data/cy/kv_cache_vs_util/std_traverse_bs/traverse_bs_util_std.nsys-rep
    /data/cy/kv_cache_vs_util/std_traverse_bs/traverse_bs_util_std.sqlite