IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
89d3b14 verified
raw
history blame
10.9 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"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": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 903.12704,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993536
},
"latency": {
"unit": "s",
"count": 143,
"total": 0.998810495376587,
"mean": 0.0069846887788572514,
"stdev": 0.00032154209428018264,
"p50": 0.006810624122619629,
"p90": 0.00735416316986084,
"p95": 0.007607193470001222,
"p99": 0.008160090255737305,
"values": [
0.007622655868530274,
0.007378943920135498,
0.007388160228729248,
0.007387135982513428,
0.007355391979217529,
0.007650303840637207,
0.007486464023590088,
0.0072468481063842774,
0.007245855808258057,
0.007472127914428711,
0.007173120021820068,
0.0066826238632202144,
0.006656000137329102,
0.006746111869812011,
0.006746111869812011,
0.006758336067199707,
0.006772736072540283,
0.006790143966674805,
0.0067051520347595215,
0.006894591808319092,
0.0072837119102478025,
0.007620607852935791,
0.006810624122619629,
0.006748159885406494,
0.00688640022277832,
0.006762495994567871,
0.006723584175109864,
0.006770688056945801,
0.0068023681640625,
0.0066631040573120115,
0.006681600093841553,
0.006672383785247803,
0.00703385591506958,
0.007181312084197998,
0.007204864025115967,
0.007304192066192627,
0.007209983825683594,
0.0072130560874938965,
0.007111680030822754,
0.007129087924957276,
0.007189504146575928,
0.007360447883605957,
0.007349247932434082,
0.007158783912658692,
0.007085055828094483,
0.007214079856872559,
0.00714137601852417,
0.007196671962738037,
0.007091263771057129,
0.007229407787322998,
0.007169023990631103,
0.007138304233551026,
0.007285759925842285,
0.007328767776489258,
0.0071485438346862796,
0.007259136199951172,
0.007255040168762207,
0.007260159969329834,
0.007145472049713135,
0.007231488227844239,
0.007137279987335205,
0.00714035177230835,
0.007250944137573242,
0.0071823358535766605,
0.006964223861694336,
0.006945792198181152,
0.00729804801940918,
0.007066624164581299,
0.006858751773834228,
0.006847487926483154,
0.007039999961853028,
0.007062528133392334,
0.008080384254455567,
0.008113151550292968,
0.008194080352783203,
0.008245247840881348,
0.007823359966278077,
0.0068986878395080565,
0.006793216228485107,
0.006967296123504638,
0.006809599876403808,
0.006796288013458252,
0.006766592025756836,
0.006858751773834228,
0.006834176063537598,
0.0067870721817016606,
0.006813727855682373,
0.006806528091430664,
0.006780960083007812,
0.006779903888702392,
0.006811647891998291,
0.006767615795135498,
0.006770624160766602,
0.006919167995452881,
0.006790143966674805,
0.0067276802062988285,
0.006744063854217529,
0.006739967823028564,
0.006751232147216797,
0.006726655960083008,
0.006776832103729248,
0.006732800006866455,
0.006717440128326416,
0.00675328016281128,
0.006762495994567871,
0.006881279945373535,
0.006767615795135498,
0.0067645440101623535,
0.006748159885406494,
0.006739967823028564,
0.0067420158386230465,
0.00673689603805542,
0.00672870397567749,
0.006751232147216797,
0.006748159885406494,
0.006724607944488525,
0.006788095951080322,
0.006760447978973389,
0.006731776237487793,
0.006778880119323731,
0.006914048194885254,
0.006748159885406494,
0.006747136116027832,
0.006761472225189209,
0.006917119979858399,
0.006731776237487793,
0.006773759841918945,
0.006749184131622315,
0.0067420477867126466,
0.006766592025756836,
0.0067573761940002445,
0.006752255916595459,
0.006739967823028564,
0.006770688056945801,
0.00676966381072998,
0.006739967823028564,
0.006758399963378906,
0.006729728221893311,
0.006726655960083008,
0.006916096210479736,
0.0067573761940002445,
0.0067420158386230465,
0.006761472225189209
]
},
"throughput": {
"unit": "samples/s",
"value": 143.17030173585024
},
"energy": {
"unit": "kWh",
"cpu": 7.938997502680178e-08,
"ram": 4.3406070214671727e-08,
"gpu": 1.4052789020000017e-07,
"total": 2.633239354414737e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3797603.8840656765
}
}
}
}