IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
9c4e491 verified
raw
history blame
14.4 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"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": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.215-203.850.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": "4.41.0",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1072.021504,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.0096
},
"latency": {
"unit": "s",
"count": 60,
"total": 0.4946096625328063,
"mean": 0.008243494375546773,
"stdev": 0.0003178850125089361,
"p50": 0.008150255680084229,
"p90": 0.008484710788726807,
"p95": 0.00860251040458679,
"p99": 0.009588763456344605,
"values": [
0.009751263618469239,
0.009109248161315918,
0.009475839614868165,
0.008376511573791504,
0.00818233585357666,
0.008167584419250489,
0.007983967781066895,
0.008181599617004395,
0.008310367584228515,
0.007995584011077882,
0.008098591804504394,
0.008038816452026367,
0.008058239936828613,
0.008149855613708496,
0.008059871673583985,
0.008124544143676757,
0.008180992126464844,
0.008344160079956055,
0.008156991958618165,
0.008093567848205566,
0.008177311897277832,
0.008069375991821288,
0.008056991577148438,
0.008196512222290038,
0.008064064025878906,
0.0081079683303833,
0.008150655746459961,
0.008036416053771972,
0.008049247741699218,
0.00817692756652832,
0.008051712036132813,
0.008152671813964844,
0.008153023719787598,
0.008055456161499023,
0.008156319618225098,
0.00808454418182373,
0.00857583999633789,
0.008484448432922363,
0.00830019187927246,
0.008363264083862305,
0.008518752098083495,
0.008381024360656738,
0.008461376190185547,
0.008450880050659179,
0.008351743698120117,
0.008132384300231934,
0.00807910442352295,
0.008120927810668945,
0.008474240303039551,
0.008487071990966797,
0.008164447784423828,
0.008022848129272462,
0.008120896339416504,
0.008090656280517578,
0.008041152000427246,
0.008127776145935059,
0.008059807777404785,
0.00802943992614746,
0.008122624397277832,
0.008069631576538085
]
},
"throughput": {
"unit": "tokens/s",
"value": 242.61555948078686
},
"energy": {
"unit": "kWh",
"cpu": 1.0201270141040045e-07,
"ram": 5.567450961489857e-08,
"gpu": 1.7709653294016955e-07,
"total": 3.347837439654686e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 5974005.7157801865
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1072.021504,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.46016
},
"latency": {
"unit": "s",
"count": 60,
"total": 0.5037881278991702,
"mean": 0.0083964687983195,
"stdev": 0.0003202832871326456,
"p50": 0.008296256065368653,
"p90": 0.008643426990509033,
"p95": 0.008724857950210569,
"p99": 0.009669364957809448,
"values": [
0.009416031837463378,
0.009559616088867188,
0.009827296257019042,
0.008230560302734375,
0.008293503761291504,
0.008185471534729004,
0.008155360221862792,
0.008302592277526855,
0.008488575935363769,
0.008187552452087403,
0.008189056396484375,
0.008167391777038574,
0.008314208030700683,
0.008310879707336426,
0.008217023849487306,
0.008315679550170898,
0.008535967826843262,
0.008340031623840331,
0.008209471702575683,
0.008198271751403809,
0.008296832084655762,
0.008209952354431152,
0.008292192459106446,
0.00830726432800293,
0.008370016098022461,
0.008321760177612304,
0.008269599914550781,
0.00809932804107666,
0.00823094367980957,
0.008211071968078614,
0.008205408096313477,
0.008310400009155273,
0.008189184188842773,
0.008258048057556153,
0.008305407524108887,
0.008601216316223145,
0.008672991752624511,
0.008642687797546386,
0.008391231536865234,
0.008513248443603516,
0.008572480201721192,
0.008595423698425293,
0.008619839668273926,
0.008528832435607911,
0.008599328041076661,
0.008262111663818359,
0.008159423828125,
0.00829030418395996,
0.008688480377197265,
0.008650079727172851,
0.008310336112976074,
0.008171584129333496,
0.00828867244720459,
0.008155839920043945,
0.008295680046081543,
0.008269824028015137,
0.008154815673828125,
0.00829423999786377,
0.008577247619628907,
0.008160256385803222
]
},
"throughput": {
"unit": "tokens/s",
"value": 119.09768546988988
},
"energy": {
"unit": "kWh",
"cpu": 9.498215597380706e-08,
"ram": 5.2029453831806165e-08,
"gpu": 1.6038096837130428e-07,
"total": 3.073925781769177e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3253168.9799760124
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 59,
"total": 0.9810554885864256,
"mean": 0.016628059128583485,
"stdev": 0.0005465671978888738,
"p50": 0.016450559616088867,
"p90": 0.0171114501953125,
"p95": 0.017211494827270506,
"p99": 0.01902454086303711,
"values": [
0.018769920349121092,
0.01937615966796875,
0.016760799407958986,
0.016507904052734376,
0.01636966323852539,
0.016154624938964843,
0.016526336669921874,
0.01682636833190918,
0.01621401596069336,
0.016303104400634767,
0.01624166488647461,
0.01639219284057617,
0.016484352111816408,
0.01630521583557129,
0.016459711074829103,
0.016690176010131837,
0.01677926445007324,
0.01641164779663086,
0.016301055908203126,
0.016507904052734376,
0.016314367294311523,
0.016368640899658202,
0.016534528732299804,
0.01642803192138672,
0.016480255126953124,
0.016450559616088867,
0.016166912078857423,
0.016294912338256837,
0.01640959930419922,
0.016285696029663087,
0.016489471435546875,
0.0163768310546875,
0.016331775665283203,
0.016470016479492186,
0.016669696807861328,
0.017313791275024415,
0.01717452812194824,
0.016719871520996094,
0.016899072647094726,
0.017104896545410156,
0.017006591796875,
0.017089536666870117,
0.01703424072265625,
0.016961536407470702,
0.016440319061279296,
0.016265279769897462,
0.016436159133911134,
0.017137664794921875,
0.01720012855529785,
0.016509952545166014,
0.016220159530639648,
0.01643724822998047,
0.0162795524597168,
0.01635327911376953,
0.01642188835144043,
0.01624684715270996,
0.01633888053894043,
0.016743423461914063,
0.016267263412475585
]
},
"throughput": {
"unit": "tokens/s",
"value": 60.13930984170059
},
"energy": null,
"efficiency": null
}
}
}