IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
240551f verified
raw
history blame
13.8 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"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": 66697.293824,
"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": "0.3.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.43.1",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 713.736192,
"max_global_vram": 1218.9696,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.18426318359375,
"mean": 7.18426318359375,
"stdev": 0.0,
"p50": 7.18426318359375,
"p90": 7.18426318359375,
"p95": 7.18426318359375,
"p99": 7.18426318359375,
"values": [
7.18426318359375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.834660424126518e-07,
"ram": 5.232740623496094e-07,
"gpu": 1.6541679899997538e-06,
"total": 3.160908094762015e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 880.49664,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 449.025024
},
"latency": {
"unit": "s",
"count": 186,
"total": 1.0007860469818108,
"mean": 0.005380570145063502,
"stdev": 0.00022632735451579743,
"p50": 0.005322751998901367,
"p90": 0.005645824193954468,
"p95": 0.005715711951255798,
"p99": 0.00618864631652832,
"values": [
0.005757952213287353,
0.006159359931945801,
0.0057190399169921875,
0.005699584007263184,
0.00566476821899414,
0.005667840003967285,
0.00566476821899414,
0.005633024215698243,
0.005658624172210694,
0.005414912223815918,
0.005347328186035156,
0.005287936210632324,
0.005303296089172363,
0.0053678078651428224,
0.005349376201629639,
0.0053043198585510255,
0.005201920032501221,
0.005152768135070801,
0.005195839881896973,
0.005262335777282715,
0.005346303939819336,
0.0053821439743042,
0.005362688064575195,
0.005401599884033203,
0.005403679847717285,
0.005343232154846191,
0.005494783878326416,
0.005214208126068115,
0.005238783836364746,
0.00537497615814209,
0.00538316822052002,
0.005597184181213379,
0.005677055835723877,
0.005345280170440674,
0.005401599884033203,
0.005354496002197265,
0.005307392120361328,
0.005339136123657226,
0.005347328186035156,
0.005312511920928955,
0.0053637118339538575,
0.005379072189331055,
0.005262335777282715,
0.005156864166259765,
0.0051998720169067385,
0.00536575984954834,
0.005305344104766845,
0.005313536167144775,
0.00520908784866333,
0.005255167961120606,
0.005292031764984131,
0.005246975898742676,
0.005381120204925537,
0.005347328186035156,
0.005400576114654541,
0.005409791946411133,
0.005375999927520752,
0.005354496002197265,
0.005354496002197265,
0.005314559936523438,
0.005253119945526123,
0.005264383792877197,
0.005329919815063477,
0.005433343887329102,
0.0053340158462524415,
0.005530623912811279,
0.005590015888214111,
0.005629951953887939,
0.005567488193511963,
0.005445631980895996,
0.005493760108947754,
0.0055582718849182125,
0.0055511040687561035,
0.005697535991668701,
0.005603328227996827,
0.00547430419921875,
0.005560319900512695,
0.005553152084350586,
0.005574656009674072,
0.0054917120933532714,
0.005573631763458252,
0.005544960021972656,
0.005553152084350586,
0.005617663860321045,
0.0056852478981018065,
0.005705728054046631,
0.005389311790466309,
0.00538316822052002,
0.005351424217224121,
0.005371903896331787,
0.005337088108062744,
0.00531660795211792,
0.0053637118339538575,
0.0052971520423889164,
0.005192704200744629,
0.005292031764984131,
0.005321728229522705,
0.005361663818359375,
0.005212160110473632,
0.005082111835479736,
0.004994048118591309,
0.005094399929046631,
0.005258240222930908,
0.005187583923339844,
0.004973567962646484,
0.0050094079971313476,
0.004932608127593994,
0.004955135822296143,
0.005014527797698975,
0.004983808040618896,
0.005362720012664795,
0.005455872058868408,
0.005326848030090332,
0.005371903896331787,
0.0054568958282470706,
0.005527552127838135,
0.0063836159706115725,
0.0060999679565429685,
0.006096896171569824,
0.006095871925354004,
0.006162432193756104,
0.006209536075592041,
0.005377024173736572,
0.005283840179443359,
0.0052367358207702636,
0.006184959888458252,
0.005496831893920898,
0.0053606400489807126,
0.005255167961120606,
0.005187583923339844,
0.005230591773986816,
0.005355519771575928,
0.005202943801879883,
0.005391359806060791,
0.005254144191741943,
0.005323775768280029,
0.005393407821655274,
0.005243904113769531,
0.0053002238273620605,
0.0052705278396606445,
0.005298175811767578,
0.0053002238273620605,
0.005279744148254394,
0.005245952129364013,
0.0052971520423889164,
0.005232639789581299,
0.005312511920928955,
0.005281792163848877,
0.005305344104766845,
0.005278719902038574,
0.005454847812652588,
0.0053002238273620605,
0.005318655967712403,
0.00526643180847168,
0.005351424217224121,
0.005273600101470947,
0.005264383792877197,
0.005283840179443359,
0.005256192207336426,
0.005275648117065429,
0.005237760066986084,
0.005299200057983398,
0.005249023914337158,
0.0052408318519592285,
0.005272575855255127,
0.005253119945526123,
0.005242879867553711,
0.005273600101470947,
0.005239808082580567,
0.005250048160552978,
0.00522649621963501,
0.005310463905334473,
0.005298175811767578,
0.00537395191192627,
0.005255167961120606,
0.005259263992309571,
0.005235712051391602,
0.005292031764984131,
0.005286911964416504,
0.005234687805175781,
0.00530841588973999,
0.005258240222930908,
0.005302271842956543,
0.005259263992309571,
0.0052930560111999515,
0.005234687805175781
]
},
"throughput": {
"unit": "samples/s",
"value": 185.85391009491204
},
"energy": {
"unit": "kWh",
"cpu": 6.195187861858696e-08,
"ram": 3.387142891747352e-08,
"gpu": 1.2740750933333048e-07,
"total": 2.2323081686939095e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4479668.237674752
}
}
}
}