IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
6a4df67 verified
raw
history blame
13.5 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",
"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": "0.2.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.40.2",
"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": 1095.401472,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.007552
},
"latency": {
"unit": "s",
"count": 54,
"total": 0.4919539480209351,
"mean": 0.009110258296683982,
"stdev": 0.00028148926020561536,
"p50": 0.009100895881652832,
"p90": 0.009415314960479737,
"p95": 0.009497433471679688,
"p99": 0.009867207717895506,
"values": [
0.010109600067138671,
0.009495327949523926,
0.009402591705322266,
0.009172512054443359,
0.009146047592163085,
0.009047648429870606,
0.009078720092773437,
0.009255104064941407,
0.009047807693481446,
0.009252351760864258,
0.009198016166687011,
0.009169024467468262,
0.009192511558532715,
0.009280735969543458,
0.00945577621459961,
0.009501343727111816,
0.009342335700988769,
0.009232352256774903,
0.009207455635070801,
0.009242367744445801,
0.009057024002075195,
0.009097567558288574,
0.009227423667907715,
0.009043295860290528,
0.009054400444030762,
0.00910422420501709,
0.00925068759918213,
0.009128128051757813,
0.00906611156463623,
0.009095168113708496,
0.009021696090698242,
0.008796928405761718,
0.009272159576416016,
0.009420767784118652,
0.00965225601196289,
0.009243071556091309,
0.009233535766601563,
0.009108768463134766,
0.009070752143859863,
0.008981311798095703,
0.008981247901916505,
0.00905401611328125,
0.009016415596008302,
0.008605279922485352,
0.008584511756896973,
0.008895071983337402,
0.009062272071838379,
0.009055520057678223,
0.008954015731811524,
0.008680031776428223,
0.008593119621276856,
0.008563872337341308,
0.008577759742736817,
0.008575903892517089
]
},
"throughput": {
"unit": "tokens/s",
"value": 219.53274373438725
},
"energy": {
"unit": "kWh",
"cpu": 1.0611340255727844e-07,
"ram": 5.801484244654732e-08,
"gpu": 1.7995054078571292e-07,
"total": 3.4407878578953866e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 5812622.23246548
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1095.401472,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.4576
},
"latency": {
"unit": "s",
"count": 54,
"total": 0.5084164180755615,
"mean": 0.00941511885325114,
"stdev": 0.0002835541962996704,
"p50": 0.00944910430908203,
"p90": 0.00977648344039917,
"p95": 0.009834695911407471,
"p99": 0.009933484334945678,
"values": [
0.009699071884155273,
0.009788224220275879,
0.009505760192871094,
0.009620256423950195,
0.00946448040008545,
0.009397600173950195,
0.009518976211547852,
0.009499168395996094,
0.009418975830078126,
0.009486144065856933,
0.00949824047088623,
0.009472000122070312,
0.009572640419006347,
0.009834079742431641,
0.009835840225219727,
0.009919391632080079,
0.009558272361755372,
0.009401791572570801,
0.009543583869934083,
0.009949376106262207,
0.009447872161865234,
0.009541600227355958,
0.009421152114868164,
0.009435711860656738,
0.009403072357177734,
0.009686400413513183,
0.009749088287353515,
0.009458656311035157,
0.009648351669311524,
0.00920025634765625,
0.009338720321655274,
0.008982463836669922,
0.009646080017089843,
0.009823552131652832,
0.009547743797302246,
0.009557503700256348,
0.009450336456298829,
0.009285311698913574,
0.00934943962097168,
0.009353504180908204,
0.009401503562927247,
0.009316800117492675,
0.00922537612915039,
0.008865663528442383,
0.008863519668579102,
0.009322624206542968,
0.009251199722290038,
0.009251423835754394,
0.009341216087341309,
0.008870112419128417,
0.008846528053283691,
0.00886847972869873,
0.008831263542175293,
0.00885001564025879
]
},
"throughput": {
"unit": "tokens/s",
"value": 106.21214831023502
},
"energy": {
"unit": "kWh",
"cpu": 1.023740273729419e-07,
"ram": 5.590155840104158e-08,
"gpu": 1.744405809335849e-07,
"total": 3.327161667075685e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3005564.802863703
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 53,
"total": 0.9824092159271236,
"mean": 0.018536022942021207,
"stdev": 0.0005148210553615623,
"p50": 0.018661376953125,
"p90": 0.019209215545654298,
"p95": 0.019313087463378908,
"p99": 0.019365928955078125,
"values": [
0.019304447174072266,
0.018990079879760743,
0.018795551300048827,
0.018672607421875,
0.018486272811889647,
0.01862041664123535,
0.018795520782470702,
0.01848422431945801,
0.01878937530517578,
0.018763776779174804,
0.018671615600585938,
0.018784255981445314,
0.019139583587646485,
0.019330047607421876,
0.019404800415039062,
0.018982912063598634,
0.01869824028015137,
0.018761728286743166,
0.01922662353515625,
0.018526208877563476,
0.018677759170532226,
0.018705408096313478,
0.01847603225708008,
0.018521087646484375,
0.018799615859985352,
0.01901568031311035,
0.018661376953125,
0.018707456588745116,
0.018408447265625,
0.018388992309570314,
0.017829887390136717,
0.0189040641784668,
0.01924095916748047,
0.01932604789733887,
0.018826143264770508,
0.018745344161987306,
0.01844121551513672,
0.01841868782043457,
0.018380863189697266,
0.018414527893066406,
0.01839923286437988,
0.01827020835876465,
0.017516544342041016,
0.017475584030151366,
0.01821900749206543,
0.018342912673950194,
0.01833683204650879,
0.018290624618530274,
0.01762303924560547,
0.017474559783935546,
0.017435647964477538,
0.01745408058166504,
0.01745305633544922
]
},
"throughput": {
"unit": "tokens/s",
"value": 53.949005303235666
},
"energy": null,
"efficiency": null
}
}
}