
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
51a19b4
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+cu121", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "multiple-choice", | |
"library": "transformers", | |
"model_type": "roberta", | |
"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, | |
"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": "4.42.4", | |
"transformers_commit": null, | |
"accelerate_version": "0.32.1", | |
"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": 716.726272, | |
"max_global_vram": 1185.415168, | |
"max_process_vram": 0.0, | |
"max_reserved": 555.74528, | |
"max_allocated": 499.372544 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 7.160521484375, | |
"mean": 7.160521484375, | |
"stdev": 0.0, | |
"p50": 7.160521484375, | |
"p90": 7.160521484375, | |
"p95": 7.160521484375, | |
"p99": 7.160521484375, | |
"values": [ | |
7.160521484375 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 8.821803662512039e-07, | |
"ram": 4.5053184510720713e-07, | |
"gpu": 1.7288902720001033e-06, | |
"total": 3.0616024833585146e-06 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 915.750912, | |
"max_global_vram": 1195.900928, | |
"max_process_vram": 0.0, | |
"max_reserved": 555.74528, | |
"max_allocated": 509.038592 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 135, | |
"total": 1.0001335711479182, | |
"mean": 0.007408396823317916, | |
"stdev": 0.00021821691883758837, | |
"p50": 0.007464960098266602, | |
"p90": 0.0076455936431884764, | |
"p95": 0.0077061119556427, | |
"p99": 0.007816192150115966, | |
"values": [ | |
0.007910399913787843, | |
0.007816192150115966, | |
0.007816192150115966, | |
0.0077629761695861815, | |
0.007709695816040039, | |
0.0077281279563903805, | |
0.007704576015472412, | |
0.007633920192718506, | |
0.007662591934204102, | |
0.007551040172576904, | |
0.00753868818283081, | |
0.007458816051483155, | |
0.007411712169647216, | |
0.007566336154937744, | |
0.007574528217315674, | |
0.007622655868530274, | |
0.0076308479309082035, | |
0.007711711883544922, | |
0.007536640167236328, | |
0.007536640167236328, | |
0.007622655868530274, | |
0.0075970559120178225, | |
0.007621632099151611, | |
0.007605247974395752, | |
0.007609344005584716, | |
0.007565311908721924, | |
0.007536640167236328, | |
0.007634943962097168, | |
0.007602176189422607, | |
0.007513088226318359, | |
0.007408639907836914, | |
0.007420928001403809, | |
0.0074106879234313965, | |
0.007443456172943115, | |
0.007497727870941162, | |
0.007520256042480469, | |
0.007606272220611572, | |
0.007599103927612305, | |
0.007588863849639893, | |
0.007611392021179199, | |
0.0075980801582336424, | |
0.0075970559120178225, | |
0.007513088226318359, | |
0.00759500789642334, | |
0.007592895984649658, | |
0.007515135765075683, | |
0.007635968208312988, | |
0.007531519889831543, | |
0.007420928001403809, | |
0.007504896163940429, | |
0.007523263931274414, | |
0.007647232055664062, | |
0.007479296207427978, | |
0.007464960098266602, | |
0.007521279811859131, | |
0.007543807983398438, | |
0.007512063980102539, | |
0.007524352073669433, | |
0.007572480201721191, | |
0.007648255825042725, | |
0.007674880027770996, | |
0.0076687359809875484, | |
0.0076308479309082035, | |
0.0075939841270446775, | |
0.007643136024475097, | |
0.0076984319686889645, | |
0.00759603214263916, | |
0.007605247974395752, | |
0.007404543876647949, | |
0.007358463764190673, | |
0.007617536067962646, | |
0.0074414081573486324, | |
0.007404543876647949, | |
0.007372799873352051, | |
0.007244800090789795, | |
0.007197696208953858, | |
0.007310336112976074, | |
0.007411712169647216, | |
0.0075038719177246095, | |
0.007575551986694336, | |
0.007501823902130127, | |
0.00749567985534668, | |
0.007613440036773681, | |
0.007638016223907471, | |
0.007331840038299561, | |
0.007252992153167725, | |
0.007188479900360107, | |
0.007231488227844239, | |
0.007161856174468994, | |
0.007095295906066895, | |
0.0071485438346862796, | |
0.007138304233551026, | |
0.007113728046417236, | |
0.007202816009521484, | |
0.007187456130981445, | |
0.0072416958808898925, | |
0.007279615879058838, | |
0.00713318395614624, | |
0.007146495819091797, | |
0.007136256217956543, | |
0.007138304233551026, | |
0.007221248149871826, | |
0.007132160186767578, | |
0.007208960056304932, | |
0.007174143791198731, | |
0.007303167819976806, | |
0.007135231971740722, | |
0.0071157760620117185, | |
0.007124991893768311, | |
0.007110655784606934, | |
0.007112703800201416, | |
0.00713427209854126, | |
0.007134175777435302, | |
0.007174143791198731, | |
0.007161856174468994, | |
0.007110655784606934, | |
0.007154687881469727, | |
0.007127039909362793, | |
0.007159808158874512, | |
0.007102464199066162, | |
0.00714137601852417, | |
0.007134208202362061, | |
0.007113791942596435, | |
0.0071157760620117185, | |
0.007188479900360107, | |
0.007136256217956543, | |
0.007121856212615967, | |
0.007126016139984131, | |
0.007138304233551026, | |
0.007122943878173828, | |
0.007128064155578613, | |
0.007109632015228271, | |
0.007136256217956543, | |
0.007146495819091797, | |
0.007202816009521484 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 134.98197030327827 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 8.094835173245731e-08, | |
"ram": 4.42525646722214e-08, | |
"gpu": 1.552117643809533e-07, | |
"total": 2.80412680785632e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 3566172.5325627243 | |
} | |
} | |
} | |
} |