IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
dcb65f3 verified
raw
history blame
10.6 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"hub_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"latency": true,
"memory": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 903.3728,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993536
},
"latency": {
"unit": "s",
"count": 136,
"total": 0.9963351974487306,
"mean": 0.007325994098887724,
"stdev": 0.00038683093314804636,
"p50": 0.007311360120773316,
"p90": 0.007736320018768311,
"p95": 0.007940351843833923,
"p99": 0.00887997407913208,
"values": [
0.008300543785095215,
0.00796569585800171,
0.007990272045135497,
0.007931903839111328,
0.007861248016357422,
0.007896063804626464,
0.007536640167236328,
0.007419904232025146,
0.007408639907836914,
0.007437312126159668,
0.007325664043426514,
0.0073062400817871095,
0.007363584041595459,
0.00738099193572998,
0.007413760185241699,
0.007458816051483155,
0.00748748779296875,
0.00738918399810791,
0.007430111885070801,
0.007673855781555176,
0.007751679897308349,
0.007741439819335938,
0.007709695816040039,
0.007702527999877929,
0.00841932773590088,
0.007717887878417969,
0.007629824161529541,
0.00761033582687378,
0.007669760227203369,
0.007650303840637207,
0.007731200218200684,
0.007725056171417236,
0.007775231838226319,
0.007480319976806641,
0.0074711041450500485,
0.007366655826568603,
0.0073472318649291995,
0.007417856216430664,
0.00743833589553833,
0.007396351814270019,
0.007320576190948487,
0.007314432144165039,
0.007328767776489258,
0.0075632638931274416,
0.007457791805267334,
0.007332863807678222,
0.007316480159759522,
0.007354368209838867,
0.0073820161819458,
0.007336959838867187,
0.007365632057189942,
0.007469056129455566,
0.007477248191833496,
0.00739737606048584,
0.007372799873352051,
0.007408639907836914,
0.007326720237731933,
0.007425024032592774,
0.007288832187652588,
0.007270400047302246,
0.007104479789733887,
0.007245823860168457,
0.00738918399810791,
0.007122943878173828,
0.007014400005340577,
0.0069918718338012695,
0.007078911781311035,
0.007184383869171143,
0.00880742359161377,
0.008919039726257324,
0.008995840072631836,
0.007761888027191162,
0.007550975799560547,
0.007497727870941162,
0.007334911823272705,
0.007271423816680909,
0.007288832187652588,
0.007287775993347168,
0.007332863807678222,
0.007252992153167725,
0.007308288097381592,
0.007291903972625732,
0.007271423816680909,
0.007657440185546875,
0.007245823860168457,
0.007259136199951172,
0.007268352031707764,
0.007266304016113281,
0.007329792022705078,
0.006998015880584717,
0.006977536201477051,
0.006969344139099121,
0.006993919849395752,
0.006960127830505371,
0.006998015880584717,
0.006980607986450196,
0.007006175994873047,
0.006969344139099121,
0.006957056045532227,
0.006980607986450196,
0.006985727787017822,
0.006965248107910156,
0.0069621758460998535,
0.006990848064422607,
0.0069764480590820315,
0.006949888229370117,
0.006964223861694336,
0.006982656002044678,
0.0069550080299377445,
0.006946815967559815,
0.00694374418258667,
0.006977536201477051,
0.006993919849395752,
0.006974431991577148,
0.006980607986450196,
0.006968255996704102,
0.006988800048828125,
0.006985727787017822,
0.006964223861694336,
0.006976511955261231,
0.006998015880584717,
0.006964223861694336,
0.006976511955261231,
0.006960063934326172,
0.006966271877288818,
0.006952960014343262,
0.006966271877288818,
0.006988800048828125,
0.006957056045532227,
0.007003136157989502,
0.0069519681930542,
0.0069816322326660156,
0.0069816322326660156,
0.0069621758460998535,
0.006957056045532227,
0.006972415924072266
]
},
"throughput": {
"unit": "samples/s",
"value": 136.50024645144418
},
"energy": {
"unit": "kWh",
"cpu": 8.299775007698273e-08,
"ram": 4.521743116367171e-08,
"gpu": 1.4923815951388975e-07,
"total": 2.774533407545442e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3604209.620545439
}
}
}
}