IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
ab0d7a7 verified
raw
history blame
14 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": {},
"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": false,
"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 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "2a33a472f309c43b5bd16946ef9cec843d02f70a",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": 1053.45024,
"max_global_vram": 1107.51744,
"max_process_vram": 285921.193984,
"max_reserved": 725.614592,
"max_allocated": 513.035776
},
"latency": {
"unit": "s",
"count": 61,
"total": 0.5041200919151306,
"mean": 0.008264263801887389,
"stdev": 0.0005497381854447319,
"p50": 0.007954551219940185,
"p90": 0.008884949684143066,
"p95": 0.009240150451660156,
"p99": 0.0100907413482666,
"values": [
0.010873908042907715,
0.008828949928283692,
0.009450228691101074,
0.009568630218505859,
0.008884949684143066,
0.008631191253662109,
0.008472149848937988,
0.008341751098632812,
0.008421270370483399,
0.008396470069885253,
0.008349270820617675,
0.008733110427856445,
0.008998069763183594,
0.009240150451660156,
0.008806230545043946,
0.00834639072418213,
0.007842071056365967,
0.007804951190948486,
0.007812311172485351,
0.007816471099853516,
0.007828951835632324,
0.007841432094573974,
0.008070712089538573,
0.00789135217666626,
0.007856311798095704,
0.00789407205581665,
0.007898870944976807,
0.007876951217651368,
0.007885111808776855,
0.007857592105865478,
0.007839831829071045,
0.007912950992584229,
0.007899510860443115,
0.00794319200515747,
0.00792143201828003,
0.00792047119140625,
0.007943350791931153,
0.007910071849822998,
0.007926391124725343,
0.007957430839538574,
0.00789903211593628,
0.00790959119796753,
0.007908151149749756,
0.007928311824798584,
0.007917110919952392,
0.008063990592956543,
0.00838079071044922,
0.008180630683898927,
0.008266071319580078,
0.008682870864868164,
0.008603191375732422,
0.00826815128326416,
0.008263991355895997,
0.008355670928955079,
0.008378231048583984,
0.007948471069335937,
0.007954551219940185,
0.00793423080444336,
0.007889750957489014,
0.008786551475524903,
0.008906230926513672
]
},
"throughput": {
"unit": "tokens/s",
"value": 242.00582749345935
},
"energy": null,
"efficiency": null
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1053.45024,
"max_global_vram": 1107.521536,
"max_process_vram": 265567.47776,
"max_reserved": 725.614592,
"max_allocated": 513.25952
},
"latency": {
"unit": "s",
"count": 61,
"total": 0.4978692183494568,
"mean": 0.008161790464745192,
"stdev": 0.0005922057119031283,
"p50": 0.008037111282348634,
"p90": 0.008706230163574219,
"p95": 0.008984630584716796,
"p99": 0.010228244781494136,
"values": [
0.008959030151367188,
0.008984630584716796,
0.009122550010681152,
0.009274709701538085,
0.00835615062713623,
0.008181270599365234,
0.008109911918640137,
0.008081591606140137,
0.008097592353820801,
0.007997111797332764,
0.00813999080657959,
0.008370870590209962,
0.00859343147277832,
0.008706230163574219,
0.011658547401428222,
0.007691991806030273,
0.007651832103729248,
0.007657432079315186,
0.007682392120361328,
0.007630712032318116,
0.0076615910530090335,
0.007658871173858642,
0.007680790901184082,
0.007765591144561768,
0.0077631912231445315,
0.00782063102722168,
0.00769599199295044,
0.007636631965637207,
0.007663031101226806,
0.007658071041107177,
0.00788559103012085,
0.007909751892089844,
0.008053751945495605,
0.007989430904388427,
0.00791663122177124,
0.007864312171936035,
0.007936470985412598,
0.008037111282348634,
0.008035191535949707,
0.007986711025238038,
0.008009751319885254,
0.007981112003326416,
0.007922070980072022,
0.008005910873413086,
0.00804847240447998,
0.008660630226135254,
0.008354551315307617,
0.008143671035766601,
0.008094072341918945,
0.008719189643859863,
0.008165910720825195,
0.008310710906982422,
0.008295830726623534,
0.008248630523681641,
0.00834575080871582,
0.007865272045135497,
0.008066390991210938,
0.008035032272338868,
0.00804271125793457,
0.008657428741455078,
0.008328790664672852
]
},
"throughput": {
"unit": "tokens/s",
"value": 122.52213583765649
},
"energy": null,
"efficiency": null
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 61,
"total": 0.4527663869857791,
"mean": 0.007422399786652113,
"stdev": 0.0005738641356232504,
"p50": 0.007179831981658936,
"p90": 0.007956151008605958,
"p95": 0.008228151321411133,
"p99": 0.009417973709106443,
"values": [
0.008228151321411133,
0.008158231735229492,
0.008277271270751953,
0.00843263053894043,
0.007707032203674316,
0.00751823091506958,
0.007454391956329346,
0.007471672058105469,
0.007417431831359863,
0.007385591983795166,
0.007486230850219726,
0.007666232109069825,
0.007842711925506592,
0.007956151008605958,
0.01089598846435547,
0.007054711818695068,
0.0070014319419860836,
0.007018232822418213,
0.007066553115844727,
0.007010232925415039,
0.007061272144317627,
0.007041592121124268,
0.007038072109222412,
0.007086872100830078,
0.007058231830596924,
0.007145112037658692,
0.00708271312713623,
0.00699919319152832,
0.007050871849060059,
0.007028632164001465,
0.007087512016296387,
0.007150232791900635,
0.00721503210067749,
0.0071556720733642575,
0.007111032009124756,
0.007128791809082031,
0.0071628718376159665,
0.007165112018585205,
0.007280471801757812,
0.007113592147827148,
0.007158872127532959,
0.007098233222961426,
0.007125271797180176,
0.00714191198348999,
0.007177913188934326,
0.007936790943145752,
0.0076148719787597656,
0.007441271781921386,
0.0073476719856262205,
0.00798223114013672,
0.007447991847991943,
0.007551352024078369,
0.007495992183685303,
0.007431191921234131,
0.007476791858673095,
0.007102551937103271,
0.007179831981658936,
0.007164953231811523,
0.00718783187866211,
0.00795007085800171,
0.007540791034698486
]
},
"throughput": {
"unit": "tokens/s",
"value": 134.72731579324588
},
"energy": null,
"efficiency": null
}
}
}