IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
2b8ead7 verified
raw
history blame
11.2 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": 66697.289728,
"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": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 904.167424,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993536
},
"latency": {
"unit": "s",
"count": 150,
"total": 0.9992823338508603,
"mean": 0.006661882225672404,
"stdev": 0.00011260178199085482,
"p50": 0.00662988805770874,
"p90": 0.006783209466934204,
"p95": 0.006866124868392945,
"p99": 0.0069996646404266345,
"values": [
0.0070553598403930665,
0.006874112129211426,
0.006867968082427979,
0.006900735855102539,
0.006880256175994873,
0.006855679988861084,
0.006849535942077637,
0.00682700777053833,
0.0068321280479431154,
0.006752255916595459,
0.006778880119323731,
0.007559167861938477,
0.006863872051239014,
0.006654975891113281,
0.006713344097137451,
0.006657023906707763,
0.006621183872222901,
0.006644703865051269,
0.006669312000274658,
0.006941696166992187,
0.006669312000274658,
0.0067123198509216305,
0.0067358717918396,
0.006681600093841553,
0.006631423950195312,
0.006624256134033203,
0.006622208118438721,
0.006616064071655273,
0.006635519981384277,
0.0066119680404663084,
0.006614016056060791,
0.006645760059356689,
0.006616064071655273,
0.006618112087249756,
0.006732800006866455,
0.006642687797546387,
0.0066007041931152345,
0.006744063854217529,
0.006623231887817383,
0.00662937593460083,
0.0067010560035705566,
0.006602752208709717,
0.006626304149627686,
0.006631423950195312,
0.006598656177520752,
0.00658739185333252,
0.006645760059356689,
0.006529024124145508,
0.006534143924713135,
0.006612991809844971,
0.006706175804138184,
0.006773727893829346,
0.006661119937896728,
0.0065771517753601075,
0.0066416640281677245,
0.006628352165222168,
0.006586304187774658,
0.006584320068359375,
0.006676479816436768,
0.006620160102844238,
0.006606847763061524,
0.00658022403717041,
0.006622208118438721,
0.006594560146331787,
0.006628352165222168,
0.006608831882476807,
0.006707200050354004,
0.0066078720092773435,
0.006616064071655273,
0.006781983852386475,
0.006666240215301514,
0.006589439868927002,
0.006632448196411133,
0.006609920024871826,
0.0066406397819519045,
0.006606847763061524,
0.006606847763061524,
0.0066304001808166506,
0.006608895778656006,
0.006625279903411865,
0.0066826238632202144,
0.006647808074951172,
0.006652927875518798,
0.006627327919006347,
0.006650879859924317,
0.006653952121734619,
0.006642687797546387,
0.006618112087249756,
0.006603712081909179,
0.006602752208709717,
0.006686719894409179,
0.006562816143035889,
0.00658739185333252,
0.006575104236602783,
0.006700096130371094,
0.00659555196762085,
0.006659071922302246,
0.006608895778656006,
0.006614016056060791,
0.006653952121734619,
0.006638591766357422,
0.00676966381072998,
0.006650879859924317,
0.00662937593460083,
0.006653952121734619,
0.006609920024871826,
0.006589439868927002,
0.0066744318008422855,
0.006663167953491211,
0.0065771517753601075,
0.006668288230895996,
0.006806528091430664,
0.006662144184112549,
0.00662937593460083,
0.006654975891113281,
0.006595583915710449,
0.006633471965789795,
0.006597631931304931,
0.006595583915710449,
0.006627327919006347,
0.0066375679969787596,
0.006599679946899414,
0.006606847763061524,
0.006592512130737305,
0.006590464115142822,
0.006603775978088379,
0.006617087841033936,
0.006589439868927002,
0.006635519981384277,
0.0066416640281677245,
0.006592512130737305,
0.0066119680404663084,
0.0066007041931152345,
0.006920191764831543,
0.006643712043762207,
0.006617087841033936,
0.006606847763061524,
0.006588319778442383,
0.006606847763061524,
0.0066344962120056155,
0.0066304001808166506,
0.0066334400177001955,
0.006605823993682861,
0.00679423999786377,
0.006636544227600098,
0.006574079990386963,
0.006593535900115967,
0.006649856090545654,
0.00658022403717041,
0.006590432167053223
]
},
"throughput": {
"unit": "samples/s",
"value": 150.10772723456049
},
"energy": {
"unit": "kWh",
"cpu": 7.900949499026392e-08,
"ram": 4.306881514576784e-08,
"gpu": 1.381733997218572e-07,
"total": 2.6025170985788897e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3842433.928853156
}
}
}
}