| 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] Capturing CUDA graph shapes: 6%|▌ | 4/67 [00:00<00:02, 30.94it/s] Capturing CUDA graph shapes: 12%|█▏ | 8/67 [00:00<00:01, 32.96it/s] Capturing CUDA graph shapes: 18%|█▊ | 12/67 [00:00<00:01, 33.45it/s] Capturing CUDA graph shapes: 24%|██▍ | 16/67 [00:00<00:01, 33.63it/s] Capturing CUDA graph shapes: 30%|██▉ | 20/67 [00:00<00:01, 34.15it/s] Capturing CUDA graph shapes: 36%|███▌ | 24/67 [00:00<00:01, 34.00it/s] Capturing CUDA graph shapes: 42%|████▏ | 28/67 [00:00<00:01, 34.28it/s] Capturing CUDA graph shapes: 48%|████▊ | 32/67 [00:00<00:01, 34.09it/s] Capturing CUDA graph shapes: 54%|█████▎ | 36/67 [00:01<00:00, 33.01it/s] Capturing CUDA graph shapes: 60%|█████▉ | 40/67 [00:01<00:00, 33.61it/s] 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 --- | |
| Adding requests: 0%| | 0/1 [00:00<?, ?it/s] Adding requests: 100%|██████████| 1/1 [00:00<00:00, 320.59it/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%|██████████| 1/1 [00:03<00:00, 3.33s/it, est. speed input: 192.34 toks/s, output: 153.87 toks/s] Processed prompts: 100%|██████████| 1/1 [00:03<00:00, 3.33s/it, est. speed input: 192.34 toks/s, output: 153.87 toks/s] Processed prompts: 100%|██████████| 1/1 [00:03<00:00, 3.33s/it, est. speed input: 192.34 toks/s, output: 153.87 toks/s] | |
| 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 --- | |
| Adding requests: 0%| | 0/2 [00:00<?, ?it/s] Adding requests: 100%|██████████| 2/2 [00:00<00:00, 199.19it/s] | |
| Processed prompts: 0%| | 0/2 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 50%|█████ | 1/2 [00:03<00:03, 3.71s/it, est. speed input: 172.46 toks/s, output: 137.96 toks/s] Processed prompts: 100%|██████████| 2/2 [00:03<00:00, 3.71s/it, est. speed input: 344.29 toks/s, output: 275.43 toks/s] Processed prompts: 100%|██████████| 2/2 [00:03<00:00, 1.86s/it, est. speed input: 344.29 toks/s, output: 275.43 toks/s] | |
| 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 --- | |
| Adding requests: 0%| | 0/4 [00:00<?, ?it/s] Adding requests: 100%|██████████| 4/4 [00:00<00:00, 209.85it/s] | |
| 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 --- | |
| Adding requests: 0%| | 0/8 [00:00<?, ?it/s] 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 --- | |
| Adding requests: 0%| | 0/16 [00:00<?, ?it/s] Adding requests: 100%|██████████| 16/16 [00:00<00:00, 256.32it/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%|▋ | 1/16 [00:03<00:56, 3.77s/it, est. speed input: 169.88 toks/s, output: 135.91 toks/s] Processed prompts: 100%|██████████| 16/16 [00:03<00:00, 3.77s/it, est. speed input: 2675.36 toks/s, output: 2140.28 toks/s] Processed prompts: 100%|██████████| 16/16 [00:03<00:00, 4.18it/s, est. speed input: 2675.36 toks/s, output: 2140.28 toks/s] | |
| 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 --- | |
| Adding requests: 0%| | 0/32 [00:00<?, ?it/s] Adding requests: 100%|██████████| 32/32 [00:00<00:00, 316.25it/s] Adding requests: 100%|██████████| 32/32 [00:00<00:00, 315.62it/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%|▎ | 1/32 [00:03<01:59, 3.85s/it, est. speed input: 166.32 toks/s, output: 133.05 toks/s] 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 --- | |
| Adding requests: 0%| | 0/64 [00:00<?, ?it/s] Adding requests: 50%|█████ | 32/64 [00:00<00:00, 318.79it/s] Adding requests: 100%|██████████| 64/64 [00:00<00:00, 401.11it/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%|▏ | 1/64 [00:04<04:19, 4.11s/it, est. speed input: 155.66 toks/s, output: 124.53 toks/s] 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 --- | |
| Adding requests: 0%| | 0/128 [00:00<?, ?it/s] Adding requests: 26%|██▌ | 33/128 [00:00<00:00, 328.97it/s] Adding requests: 70%|██████▉ | 89/128 [00:00<00:00, 463.74it/s] Adding requests: 100%|██████████| 128/128 [00:00<00:00, 473.93it/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 [00:05<12:10, 5.75s/it, est. speed input: 111.26 toks/s, output: 89.00 toks/s] 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 --- | |
| Adding requests: 0%| | 0/256 [00:00<?, ?it/s] Adding requests: 14%|█▎ | 35/256 [00:00<00:00, 347.07it/s] Adding requests: 36%|███▌ | 91/256 [00:00<00:00, 469.46it/s] Adding requests: 58%|█████▊ | 148/256 [00:00<00:00, 512.15it/s] Adding requests: 79%|███████▉ | 202/256 [00:00<00:00, 522.68it/s] Adding requests: 100%|█████████▉| 255/256 [00:00<00:00, 275.49it/s] Adding requests: 100%|██████████| 256/256 [00:00<00:00, 337.77it/s] | |
| Processed prompts: 0%| | 0/256 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 0%| | 1/256 [00:08<34:30, 8.12s/it, est. speed input: 78.82 toks/s, output: 63.06 toks/s] Processed prompts: 4%|▎ | 9/256 [00:08<02:44, 1.50it/s, est. speed input: 699.85 toks/s, output: 559.87 toks/s] Processed prompts: 15%|█▍ | 38/256 [00:08<00:25, 8.42it/s, est. speed input: 2914.83 toks/s, output: 2331.85 toks/s] Processed prompts: 34%|███▎ | 86/256 [00:08<00:07, 24.03it/s, est. speed input: 6517.86 toks/s, output: 5214.26 toks/s] 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 --- | |
| Adding requests: 0%| | 0/512 [00:00<?, ?it/s] Adding requests: 9%|▉ | 48/512 [00:00<00:00, 478.19it/s] Adding requests: 20%|█▉ | 101/512 [00:00<00:00, 506.41it/s] Adding requests: 31%|███ | 157/512 [00:00<00:00, 527.46it/s] Adding requests: 42%|████▏ | 213/512 [00:00<00:00, 540.15it/s] Adding requests: 53%|█████▎ | 270/512 [00:00<00:00, 548.13it/s] Adding requests: 64%|██████▍ | 327/512 [00:00<00:00, 553.40it/s] Adding requests: 75%|███████▍ | 383/512 [00:00<00:00, 541.05it/s] Adding requests: 86%|████████▌ | 439/512 [00:00<00:00, 546.65it/s] Adding requests: 96%|█████████▋| 494/512 [00:00<00:00, 543.24it/s] Adding requests: 100%|██████████| 512/512 [00:00<00:00, 539.37it/s] | |
| 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 [00:12<1:42:35, 12.05s/it, est. speed input: 53.13 toks/s, output: 42.50 toks/s] Processed prompts: 2%|▏ | 8/512 [00:12<09:19, 1.11s/it, est. speed input: 420.88 toks/s, output: 336.70 toks/s] Processed prompts: 7%|▋ | 35/512 [00:12<01:29, 5.31it/s, est. speed input: 1823.74 toks/s, output: 1458.99 toks/s] Processed prompts: 12%|█▏ | 59/512 [00:12<00:42, 10.64it/s, est. speed input: 3045.82 toks/s, output: 2436.64 toks/s] Processed prompts: 16%|█▌ | 83/512 [00:12<00:24, 17.83it/s, est. speed input: 4248.18 toks/s, output: 3398.53 toks/s] Processed prompts: 21%|██ | 105/512 [00:12<00:15, 26.41it/s, est. speed input: 5326.93 toks/s, output: 4261.52 toks/s] Processed prompts: 27%|██▋ | 138/512 [00:12<00:08, 43.90it/s, est. speed input: 6946.00 toks/s, output: 5556.79 toks/s] Processed prompts: 34%|███▍ | 175/512 [00:12<00:04, 67.92it/s, est. speed input: 8729.22 toks/s, output: 6983.34 toks/s] Processed prompts: 45%|████▍ | 230/512 [00:12<00:02, 113.98it/s, est. speed input: 11378.31 toks/s, output: 9102.61 toks/s] Processed prompts: 60%|██████ | 309/512 [00:13<00:01, 194.95it/s, est. speed input: 15165.00 toks/s, output: 12131.95 toks/s] Processed prompts: 83%|████████▎ | 424/512 [00:13<00:00, 334.87it/s, est. speed input: 20649.39 toks/s, output: 16519.45 toks/s] 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 --- | |
| Adding requests: 0%| | 0/1024 [00:00<?, ?it/s] Adding requests: 5%|▍ | 48/1024 [00:00<00:02, 471.54it/s] Adding requests: 10%|█ | 104/1024 [00:00<00:01, 519.20it/s] Adding requests: 16%|█▌ | 161/1024 [00:00<00:01, 538.78it/s] Adding requests: 21%|██ | 215/1024 [00:00<00:01, 533.06it/s] Adding requests: 27%|██▋ | 272/1024 [00:00<00:01, 543.49it/s] Adding requests: 32%|███▏ | 329/1024 [00:00<00:01, 549.44it/s] Adding requests: 38%|███▊ | 386/1024 [00:00<00:01, 554.88it/s] Adding requests: 43%|████▎ | 443/1024 [00:00<00:01, 557.65it/s] Adding requests: 49%|████▊ | 499/1024 [00:00<00:00, 552.22it/s] Adding requests: 54%|█████▍ | 556/1024 [00:01<00:00, 554.90it/s] Adding requests: 60%|█████▉ | 613/1024 [00:01<00:00, 557.34it/s] Adding requests: 65%|██████▌ | 670/1024 [00:01<00:00, 560.21it/s] Adding requests: 71%|███████ | 727/1024 [00:01<00:00, 561.74it/s] Adding requests: 77%|███████▋ | 784/1024 [00:01<00:00, 562.33it/s] Adding requests: 82%|████████▏ | 841/1024 [00:01<00:00, 563.05it/s] Adding requests: 88%|████████▊ | 898/1024 [00:01<00:00, 562.75it/s] Adding requests: 93%|█████████▎| 955/1024 [00:01<00:00, 556.43it/s] Adding requests: 99%|█████████▊| 1011/1024 [00:01<00:00, 551.78it/s] Adding requests: 100%|██████████| 1024/1024 [00:01<00:00, 551.71it/s] | |
| Processed prompts: 0%| | 0/1024 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s] Processed prompts: 0%| | 1/1024 [00:22<6:29:30, 22.84s/it, est. speed input: 28.02 toks/s, output: 22.41 toks/s] Processed prompts: 0%| | 3/1024 [00:22<1:41:29, 5.96s/it, est. speed input: 83.63 toks/s, output: 66.91 toks/s] Processed prompts: 1%| | 6/1024 [00:23<39:36, 2.33s/it, est. speed input: 166.22 toks/s, output: 132.98 toks/s] Processed prompts: 1%| | 9/1024 [00:23<21:24, 1.27s/it, est. speed input: 247.84 toks/s, output: 198.27 toks/s] Processed prompts: 2%|▏ | 18/1024 [00:23<07:12, 2.32it/s, est. speed input: 493.23 toks/s, output: 394.58 toks/s] Processed prompts: 3%|▎ | 29/1024 [00:23<03:23, 4.89it/s, est. speed input: 790.76 toks/s, output: 632.60 toks/s] Processed prompts: 4%|▍ | 41/1024 [00:23<01:53, 8.65it/s, est. speed input: 1112.40 toks/s, output: 889.92 toks/s] Processed prompts: 5%|▌ | 53/1024 [00:23<01:11, 13.55it/s, est. speed input: 1430.98 toks/s, output: 1144.78 toks/s] Processed prompts: 6%|▋ | 65/1024 [00:23<00:48, 19.81it/s, est. speed input: 1746.99 toks/s, output: 1397.59 toks/s] Processed prompts: 8%|▊ | 78/1024 [00:23<00:33, 28.26it/s, est. speed input: 2086.88 toks/s, output: 1669.50 toks/s] Processed prompts: 9%|▉ | 97/1024 [00:24<00:21, 44.07it/s, est. speed input: 2583.51 toks/s, output: 2066.80 toks/s] Processed prompts: 11%|█ | 113/1024 [00:24<00:15, 58.03it/s, est. speed input: 2996.43 toks/s, output: 2397.14 toks/s] Processed prompts: 12%|█▎ | 128/1024 [00:24<00:12, 71.27it/s, est. speed input: 3379.49 toks/s, output: 2703.59 toks/s] Processed prompts: 14%|█▍ | 144/1024 [00:24<00:10, 85.72it/s, est. speed input: 3785.19 toks/s, output: 3028.14 toks/s] Processed prompts: 16%|█▌ | 161/1024 [00:24<00:08, 101.40it/s, est. speed input: 4213.87 toks/s, output: 3371.09 toks/s] Processed prompts: 17%|█▋ | 176/1024 [00:24<00:07, 111.44it/s, est. speed input: 4587.23 toks/s, output: 3669.78 toks/s] Processed prompts: 19%|█▉ | 194/1024 [00:24<00:06, 127.67it/s, est. speed input: 5035.86 toks/s, output: 4028.68 toks/s] 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] [0% ] traverse_bs_util_std.sqlite [2/8] [1% ] traverse_bs_util_std.sqlite [2/8] [2% ] traverse_bs_util_std.sqlite [2/8] [3% ] traverse_bs_util_std.sqlite [2/8] [4% ] traverse_bs_util_std.sqlite [2/8] [5% ] traverse_bs_util_std.sqlite [2/8] [6% ] traverse_bs_util_std.sqlite [2/8] [7% ] traverse_bs_util_std.sqlite [2/8] [8% ] traverse_bs_util_std.sqlite [2/8] [9% ] traverse_bs_util_std.sqlite [2/8] [10% ] traverse_bs_util_std.sqlite [2/8] [11% ] traverse_bs_util_std.sqlite [2/8] [12% ] traverse_bs_util_std.sqlite [2/8] [13% ] traverse_bs_util_std.sqlite [2/8] [14% ] traverse_bs_util_std.sqlite [2/8] [=15% ] traverse_bs_util_std.sqlite [2/8] [=16% ] traverse_bs_util_std.sqlite [2/8] [=17% ] traverse_bs_util_std.sqlite [2/8] [==18% ] traverse_bs_util_std.sqlite [2/8] [==19% ] traverse_bs_util_std.sqlite [2/8] [==20% ] traverse_bs_util_std.sqlite [2/8] [==21% ] traverse_bs_util_std.sqlite [2/8] [===22% ] traverse_bs_util_std.sqlite [2/8] [===23% ] traverse_bs_util_std.sqlite [2/8] 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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 | |
| -------- --------------- --------- ---------------- ---------------- -------------- -------------- ----------- ------- ---------------------------------------- | |
| 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 | |