IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
809b320 verified
raw
history blame
15.7 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": 66697.293824,
"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": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1040.027648,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210816
},
"latency": {
"unit": "s",
"count": 71,
"total": 0.4890429444313052,
"mean": 0.006887928794807111,
"stdev": 0.00040256940313204465,
"p50": 0.006902048110961914,
"p90": 0.00728272008895874,
"p95": 0.007449968099594116,
"p99": 0.007958342313766477,
"values": [
0.008599743843078614,
0.007559552192687989,
0.007683455944061279,
0.007394239902496338,
0.007058623790740967,
0.007080607891082764,
0.006876287937164306,
0.0070135040283203125,
0.007157279968261719,
0.0069961600303649904,
0.007202144145965576,
0.007139167785644531,
0.007077216148376465,
0.007281568050384522,
0.006902048110961914,
0.006971807956695557,
0.007010560035705566,
0.00728272008895874,
0.007214240074157715,
0.007009856224060059,
0.007263423919677735,
0.00711520004272461,
0.007174272060394287,
0.007256703853607178,
0.007413568019866944,
0.0069918398857116695,
0.007,
0.007272863864898681,
0.007178944110870361,
0.0070230717658996585,
0.007010335922241211,
0.006799295902252197,
0.00700758409500122,
0.006639647960662842,
0.00653436803817749,
0.007076735973358154,
0.00713372802734375,
0.00728329610824585,
0.00727942419052124,
0.006866623878479004,
0.006744063854217529,
0.006700319766998291,
0.0068269438743591305,
0.006708223819732666,
0.006566175937652588,
0.006441408157348632,
0.0064512319564819336,
0.006418464183807373,
0.006461664199829102,
0.006477024078369141,
0.006434879779815674,
0.006448383808135986,
0.006451488018035889,
0.006443424224853516,
0.006432640075683594,
0.006477536201477051,
0.006409088134765625,
0.006409120082855224,
0.00640118408203125,
0.006403872013092041,
0.006413343906402588,
0.006562272071838379,
0.006449728012084961,
0.006410880088806152,
0.006620768070220947,
0.006648799896240234,
0.006658016204833984,
0.006681600093841553,
0.006409599781036377,
0.006762720108032226,
0.007486368179321289
]
},
"throughput": {
"unit": "tokens/s",
"value": 290.3630481063949
},
"energy": {
"unit": "kWh",
"cpu": 8.296150636006069e-08,
"ram": 4.5357317810466176e-08,
"gpu": 1.5460579579021024e-07,
"total": 2.829246199607371e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7069020.717523807
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1040.027648,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.43456
},
"latency": {
"unit": "s",
"count": 71,
"total": 0.5149900178909301,
"mean": 0.007253380533675072,
"stdev": 0.0003880464797927514,
"p50": 0.00727888011932373,
"p90": 0.007773888111114502,
"p95": 0.00788483214378357,
"p99": 0.008175312042236328,
"values": [
0.0079234881401062,
0.008101632118225097,
0.007809919834136963,
0.007796063899993897,
0.007455232143402099,
0.0073991999626159665,
0.007404640197753907,
0.007769760131835938,
0.007773888111114502,
0.007452320098876953,
0.007481503963470459,
0.007589216232299805,
0.007496128082275391,
0.0073837761878967284,
0.007360864162445069,
0.007383903980255127,
0.00748902416229248,
0.007629087924957275,
0.0075188159942626955,
0.007535808086395264,
0.007476352214813233,
0.007358304023742676,
0.007415135860443115,
0.007308127880096435,
0.0083472318649292,
0.007404255867004395,
0.007619135856628418,
0.007570943832397461,
0.007631616115570068,
0.007408192157745361,
0.007285952091217041,
0.007013887882232666,
0.007274240016937256,
0.006793759822845459,
0.00693500804901123,
0.0075632319450378415,
0.007606400012969971,
0.007846176147460937,
0.007240863800048828,
0.007125152111053467,
0.007040895938873291,
0.007055903911590576,
0.007066656112670899,
0.007035583972930908,
0.006817920207977295,
0.006788159847259521,
0.006757952213287353,
0.006790495872497558,
0.0067630081176757815,
0.00677507209777832,
0.006885312080383301,
0.006912608146667481,
0.0067641921043396,
0.006932127952575684,
0.006754720211029052,
0.006789216041564941,
0.0068039999008178715,
0.006783008098602295,
0.006780096054077148,
0.006759007930755615,
0.006796192169189453,
0.006756800174713135,
0.006909535884857178,
0.0068776001930236814,
0.007025152206420898,
0.007040703773498535,
0.0070388798713684085,
0.007013919830322265,
0.00727888011932373,
0.008026495933532714,
0.007191679954528809
]
},
"throughput": {
"unit": "tokens/s",
"value": 137.8667499047275
},
"energy": {
"unit": "kWh",
"cpu": 7.911581064868237e-08,
"ram": 4.314861577791902e-08,
"gpu": 1.4656937007465035e-07,
"total": 2.6883379650125193e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3719770.404668384
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 70,
"total": 0.9897850866317749,
"mean": 0.0141397869518825,
"stdev": 0.0007066399431547511,
"p50": 0.01430067205429077,
"p90": 0.014868786907196044,
"p95": 0.015195340871810913,
"p99": 0.01571092435836792,
"values": [
0.015688703536987304,
0.01556275177001953,
0.015215616226196289,
0.014574591636657714,
0.014536704063415527,
0.014296064376831055,
0.014792736053466798,
0.014990303993225098,
0.01447116756439209,
0.014728192329406739,
0.01477222442626953,
0.014593024253845215,
0.014714879989624024,
0.014299136161804199,
0.014320639610290528,
0.014575615882873535,
0.014945280075073243,
0.014782464027404785,
0.014548992156982422,
0.01479475212097168,
0.014524415969848633,
0.014603263854980468,
0.014619647979736328,
0.01576038360595703,
0.014428159713745118,
0.014655488014221191,
0.0148602876663208,
0.01485209560394287,
0.01449062442779541,
0.014360575675964356,
0.013882368087768555,
0.014302207946777343,
0.013549568176269532,
0.013438976287841797,
0.014624768257141114,
0.014748671531677245,
0.015170559883117676,
0.014648320198059082,
0.014035967826843262,
0.013826047897338867,
0.013783040046691895,
0.013919232368469238,
0.013774847984313965,
0.013417471885681152,
0.01325158405303955,
0.013240320205688477,
0.013232128143310547,
0.013249600410461426,
0.013270976066589356,
0.01334988784790039,
0.0133887996673584,
0.013237248420715332,
0.013405183792114257,
0.013213695526123047,
0.013270015716552735,
0.013248512268066406,
0.013213695526123047,
0.013203455924987792,
0.013208576202392578,
0.01323519992828369,
0.013342720031738281,
0.01337548828125,
0.013321215629577637,
0.013622271537780761,
0.01375641632080078,
0.013722623825073242,
0.013724672317504882,
0.01368883228302002,
0.014693375587463378,
0.014837759971618653
]
},
"throughput": {
"unit": "tokens/s",
"value": 70.7224234285132
},
"energy": null,
"efficiency": null
}
}
}