IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
fe7e19d verified
raw
history blame
11 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"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": {},
"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": "0.2.1",
"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": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 877.740032,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 591.396864,
"max_allocated": 449.269248
},
"latency": {
"unit": "s",
"count": 146,
"total": 1.0017495069503783,
"mean": 0.006861297992810811,
"stdev": 0.0002303252700335116,
"p50": 0.006808576107025147,
"p90": 0.007195647954940796,
"p95": 0.007248128056526184,
"p99": 0.007381504154205323,
"values": [
0.007522304058074952,
0.0068884482383728025,
0.006977536201477051,
0.006964223861694336,
0.006999040126800537,
0.006916096210479736,
0.00693555212020874,
0.006804480075836182,
0.006808576107025147,
0.006773759841918945,
0.006799359798431396,
0.006754303932189941,
0.006773759841918945,
0.006863872051239014,
0.006801407814025879,
0.006859776020050049,
0.007316480159759522,
0.007161856174468994,
0.007413760185241699,
0.007206912040710449,
0.007233535766601563,
0.007302144050598145,
0.007164927959442138,
0.007131135940551757,
0.007130112171173096,
0.007181312084197998,
0.007168000221252442,
0.007157760143280029,
0.0072765440940856935,
0.006810624122619629,
0.0067758078575134275,
0.006811647891998291,
0.006810624122619629,
0.006870016098022461,
0.006767615795135498,
0.006725632190704346,
0.0067123198509216305,
0.0066938881874084475,
0.006762495994567871,
0.007225344181060791,
0.007217152118682861,
0.007113728046417236,
0.007252992153167725,
0.0071833600997924804,
0.006882304191589355,
0.006810624122619629,
0.006998015880584717,
0.006747136116027832,
0.0067358717918396,
0.006770688056945801,
0.006796288013458252,
0.006815743923187256,
0.0067348480224609375,
0.006750207901000976,
0.006739967823028564,
0.006699007987976074,
0.006762495994567871,
0.006816768169403077,
0.006759424209594727,
0.006856704235076904,
0.006806528091430664,
0.006707200050354004,
0.006732800006866455,
0.006761472225189209,
0.006792191982269287,
0.006759424209594727,
0.007064576148986816,
0.007342080116271973,
0.007137279987335205,
0.007160831928253173,
0.007305215835571289,
0.007227392196655274,
0.007223296165466309,
0.006853631973266602,
0.00678604793548584,
0.006785024166107178,
0.007184383869171143,
0.007209983825683594,
0.007103487968444824,
0.00710041618347168,
0.006972415924072266,
0.006904831886291504,
0.007007232189178467,
0.007006207942962647,
0.006802432060241699,
0.0068392958641052244,
0.006840320110321045,
0.006988800048828125,
0.0069212160110473635,
0.0068884482383728025,
0.0069621758460998535,
0.006975488185882568,
0.007138304233551026,
0.007156735897064209,
0.0068055038452148435,
0.00678604793548584,
0.006847487926483154,
0.006788095951080322,
0.006813695907592773,
0.00677785587310791,
0.006817791938781738,
0.00672870397567749,
0.006752255916595459,
0.006749184131622315,
0.006780928134918213,
0.00672870397567749,
0.0067573761940002445,
0.006709248065948486,
0.0067420158386230465,
0.00682700777053833,
0.00672870397567749,
0.006847487926483154,
0.00674508810043335,
0.00672051191329956,
0.006766592025756836,
0.0068249602317810056,
0.006808576107025147,
0.006785024166107178,
0.006790143966674805,
0.006748159885406494,
0.006904831886291504,
0.006803455829620361,
0.006799359798431396,
0.006754303932189941,
0.0068249602317810056,
0.006754303932189941,
0.006765567779541016,
0.006808576107025147,
0.00679423999786377,
0.006776832103729248,
0.006825984001159668,
0.006740992069244385,
0.00643174409866333,
0.00638976001739502,
0.0064174079895019534,
0.0064174079895019534,
0.006434815883636475,
0.006411263942718506,
0.006401023864746094,
0.006397952079772949,
0.006415359973907471,
0.006421504020690918,
0.006409215927124024,
0.006459392070770263,
0.006412288188934326,
0.006456319808959961
]
},
"throughput": {
"unit": "samples/s",
"value": 145.7450180778897
},
"energy": {
"unit": "kWh",
"cpu": 7.811473431991555e-08,
"ram": 4.270149809742993e-08,
"gpu": 1.4060501014473794e-07,
"total": 2.614212425620834e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3825243.848584783
}
}
}
}