IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
814b101 verified
raw
history blame
17 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"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": {},
"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,
"memory": true,
"latency": 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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 803.966976,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.82685400390625,
"mean": 7.82685400390625,
"stdev": 0.0,
"p50": 7.82685400390625,
"p90": 7.82685400390625,
"p95": 7.82685400390625,
"p99": 7.82685400390625,
"values": [
7.82685400390625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.231080631944148e-07,
"ram": 4.904862433842599e-07,
"gpu": 1.5861123800000893e-06,
"total": 2.9997066865787642e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1207.873536,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 71,
"total": 0.4916688628196716,
"mean": 0.006924913560840445,
"stdev": 0.00035478892668435987,
"p50": 0.006987008094787597,
"p90": 0.007342591762542725,
"p95": 0.007403903961181641,
"p99": 0.007499705457687378,
"values": [
0.007509696006774902,
0.0074954237937927244,
0.007400320053100586,
0.007086400032043457,
0.006998335838317871,
0.007376319885253906,
0.006843039989471436,
0.006915167808532715,
0.0071599998474121095,
0.007133120059967041,
0.006930784225463867,
0.007081791877746582,
0.007101664066314697,
0.007068416118621826,
0.007010303974151612,
0.007288959980010987,
0.007362656116485596,
0.0070562238693237305,
0.006926752090454101,
0.006929791927337646,
0.007003647804260254,
0.007032192230224609,
0.007158336162567139,
0.007184832096099853,
0.0073352642059326175,
0.007342591762542725,
0.007289055824279785,
0.007424895763397217,
0.007146048069000244,
0.0072873601913452145,
0.007407487869262696,
0.007219007968902588,
0.007269983768463135,
0.007313727855682373,
0.007330143928527832,
0.007194975852966309,
0.0071476798057556155,
0.00696672010421753,
0.0070136961936950685,
0.0068644161224365235,
0.006879039764404297,
0.006843232154846192,
0.0069539198875427245,
0.006668223857879639,
0.006893824100494385,
0.006987008094787597,
0.0070953922271728516,
0.007289728164672851,
0.006946368217468262,
0.006946432113647461,
0.006830304145812988,
0.006851071834564209,
0.006673632144927978,
0.006410751819610596,
0.006355167865753174,
0.006427680015563965,
0.006346208095550537,
0.006341983795166015,
0.0063935680389404295,
0.006446591854095459,
0.006375679969787598,
0.006383264064788818,
0.006368832111358642,
0.006432223796844483,
0.00638486385345459,
0.006385727882385254,
0.006384416103363037,
0.006423967838287354,
0.006344607830047607,
0.006381440162658692,
0.006616479873657226
]
},
"throughput": {
"unit": "tokens/s",
"value": 288.8122692692888
},
"energy": {
"unit": "kWh",
"cpu": 7.946491520320584e-08,
"ram": 4.344694540101865e-08,
"gpu": 1.4853665872483199e-07,
"total": 2.7144851932905646e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7367879.570474104
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1226.21952,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 71,
"total": 0.5160339517593384,
"mean": 0.007268083827596318,
"stdev": 0.0003894384415837444,
"p50": 0.0073810238838195805,
"p90": 0.0077153282165527345,
"p95": 0.007812016010284424,
"p99": 0.007893260955810548,
"values": [
0.007868224143981934,
0.007823232173919678,
0.007675871849060058,
0.0073556160926818845,
0.0077272958755493166,
0.00755344009399414,
0.007256224155426026,
0.0073649601936340335,
0.00764358377456665,
0.007397312164306641,
0.007284863948822022,
0.0074923839569091795,
0.007483903884887695,
0.007417984008789062,
0.0076208958625793456,
0.0077153282165527345,
0.0075606398582458495,
0.007530943870544433,
0.007272352218627929,
0.007450496196746826,
0.0073129281997680665,
0.0076518402099609376,
0.007408639907836914,
0.0075697598457336425,
0.007606527805328369,
0.007813055992126465,
0.0073810238838195805,
0.007625664234161377,
0.007680768013000488,
0.0076529598236083985,
0.0075392317771911625,
0.007601024150848389,
0.007605247974395752,
0.007810976028442383,
0.007951680183410645,
0.007458879947662354,
0.0074527359008789065,
0.007489759922027588,
0.007315936088562011,
0.0073842558860778805,
0.007209440231323242,
0.006983168125152588,
0.007219967842102051,
0.006743519783020019,
0.007236735820770264,
0.007383008003234864,
0.007421184062957764,
0.007741983890533447,
0.007224991798400879,
0.007127359867095947,
0.007210175991058349,
0.006967743873596191,
0.0070273919105529785,
0.006707104206085205,
0.006688479900360107,
0.0067067198753356936,
0.006731167793273925,
0.006683487892150879,
0.006678880214691162,
0.006649600028991699,
0.006810368061065674,
0.006678976058959961,
0.006761824131011963,
0.006837535858154297,
0.006690559864044189,
0.006682464122772217,
0.006647424221038818,
0.006726208209991455,
0.006656799793243408,
0.006661664009094239,
0.006729568004608154
]
},
"throughput": {
"unit": "tokens/s",
"value": 137.58784622201
},
"energy": {
"unit": "kWh",
"cpu": 7.51395060990996e-08,
"ram": 4.1085748578514385e-08,
"gpu": 1.3992677550893306e-07,
"total": 2.56152030186547e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3903931.58028743
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 71,
"total": 0.4819996800422668,
"mean": 0.006788727887919252,
"stdev": 0.00033227794135614605,
"p50": 0.006866943836212158,
"p90": 0.007175168037414551,
"p95": 0.007268352031707764,
"p99": 0.0073377791404724115,
"values": [
0.007305215835571289,
0.007286784172058106,
0.007135231971740722,
0.006855679988861084,
0.007192575931549072,
0.007029856204986572,
0.006749184131622315,
0.00682700777053833,
0.007108607769012451,
0.006882304191589355,
0.006759456157684326,
0.00694271993637085,
0.006968319892883301,
0.006896639823913574,
0.007054336071014404,
0.007175168037414551,
0.007065599918365479,
0.007021567821502686,
0.006777791976928711,
0.006914048194885254,
0.006796288013458252,
0.007121920108795166,
0.006885183811187744,
0.007038943767547608,
0.007064576148986816,
0.007268352031707764,
0.006866943836212158,
0.007109632015228271,
0.007146495819091797,
0.00708403205871582,
0.007044095993041993,
0.0070830078125,
0.007088128089904785,
0.007268352031707764,
0.007413760185241699,
0.00692633581161499,
0.006938623905181885,
0.006967296123504638,
0.0068351998329162595,
0.006872064113616944,
0.006713344097137451,
0.006510591983795166,
0.006740960121154785,
0.006343679904937744,
0.006785024166107178,
0.006889472007751465,
0.00688640022277832,
0.007268352031707764,
0.0067573761940002445,
0.006691840171813965,
0.006755328178405762,
0.006569983959197998,
0.006624256134033203,
0.006316031932830811,
0.006308864116668702,
0.00632422399520874,
0.006336512088775635,
0.006301695823669433,
0.006296576023101807,
0.006266880035400391,
0.0064225602149963375,
0.0062873601913452145,
0.006347775936126709,
0.0064245758056640625,
0.006308864116668702,
0.006301695823669433,
0.00626585578918457,
0.006333439826965332,
0.006276095867156982,
0.006257631778717041,
0.006319104194641113
]
},
"throughput": {
"unit": "tokens/s",
"value": 147.30300234592264
},
"energy": null,
"efficiency": null
}
}
}