IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
6238481 verified
raw
history blame
12 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"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": {},
"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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 790.073344,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.49018115234375,
"mean": 7.49018115234375,
"stdev": 0.0,
"p50": 7.49018115234375,
"p90": 7.49018115234375,
"p95": 7.49018115234375,
"p99": 7.49018115234375,
"values": [
7.49018115234375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0911675604165715e-06,
"ram": 5.645188580941678e-07,
"gpu": 1.7252791580002654e-06,
"total": 3.3809655765110048e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1080.303616,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 141,
"total": 0.9948610887527461,
"mean": 0.007055752402501748,
"stdev": 0.000262493189755061,
"p50": 0.0071188478469848635,
"p90": 0.007341119766235351,
"p95": 0.007464960098266602,
"p99": 0.0075413504600524905,
"values": [
0.007477280139923096,
0.0075345921516418455,
0.007541759967803955,
0.007464960098266602,
0.007540736198425293,
0.00748748779296875,
0.007341055870056152,
0.0073194241523742674,
0.007263232231140137,
0.007546879768371582,
0.007259136199951172,
0.007324672222137451,
0.007304192066192627,
0.007112703800201416,
0.007228415966033935,
0.007255040168762207,
0.007185408115386963,
0.0073359360694885255,
0.007167136192321778,
0.007005184173583984,
0.007038047790527344,
0.007075808048248291,
0.0070553598403930665,
0.00709939193725586,
0.0073697280883789065,
0.007326720237731933,
0.007341119766235351,
0.007318528175354004,
0.006894591808319092,
0.006811647891998291,
0.006652927875518798,
0.006571904182434082,
0.006725632190704346,
0.0068269758224487305,
0.006948863983154297,
0.006930431842803955,
0.006919167995452881,
0.006899712085723877,
0.007370687961578369,
0.007198719978332519,
0.007145472049713135,
0.007266304016113281,
0.0072468481063842774,
0.007184383869171143,
0.007197696208953858,
0.00719974422454834,
0.007132160186767578,
0.007013376235961914,
0.007134208202362061,
0.007074816226959229,
0.007139296054840088,
0.007155712127685547,
0.007093247890472412,
0.007160831928253173,
0.007277567863464355,
0.00727347183227539,
0.0073471999168395995,
0.007322624206542969,
0.007268352031707764,
0.0072765440940856935,
0.006956031799316406,
0.006829055786132812,
0.006694911956787109,
0.007255040168762207,
0.007395328044891358,
0.007374847888946533,
0.007287807941436767,
0.007095295906066895,
0.007053311824798584,
0.0071905279159545895,
0.00719155216217041,
0.007124991893768311,
0.007135231971740722,
0.007174143791198731,
0.00712505578994751,
0.007262207984924316,
0.007169023990631103,
0.006996992111206054,
0.007078911781311035,
0.007114751815795899,
0.007159872055053711,
0.007120895862579346,
0.007166975975036621,
0.006990848064422607,
0.006879231929779053,
0.007244800090789795,
0.007261184215545655,
0.007275648117065429,
0.0072837119102478025,
0.006951935768127441,
0.0068618240356445315,
0.006859776020050049,
0.006780928134918213,
0.006576128005981445,
0.007116799831390381,
0.00714137601852417,
0.007158783912658692,
0.007051263809204102,
0.007192575931549072,
0.007158783912658692,
0.0071188478469848635,
0.007077888011932373,
0.006987775802612305,
0.0069847040176391605,
0.007136256217956543,
0.007046144008636474,
0.006416384220123291,
0.00642252779006958,
0.006825952053070068,
0.006803455829620361,
0.007504896163940429,
0.007287807941436767,
0.007126016139984131,
0.007070720195770264,
0.007318528175354004,
0.007388160228729248,
0.007072768211364746,
0.006696959972381592,
0.006782976150512696,
0.006756383895874024,
0.006636544227600098,
0.006688767910003662,
0.0067758078575134275,
0.006677504062652588,
0.006675456047058105,
0.0067717118263244626,
0.006646783828735352,
0.006643712043762207,
0.006760447978973389,
0.006726655960083008,
0.006610976219177246,
0.006730656147003174,
0.006707200050354004,
0.006710271835327148,
0.0066979842185974124,
0.006635519981384277,
0.006593535900115967,
0.0066744318008422855,
0.0066282558441162105,
0.006605823993682861,
0.006718463897705078
]
},
"throughput": {
"unit": "samples/s",
"value": 141.7283293055226
},
"energy": {
"unit": "kWh",
"cpu": 7.926421086111296e-08,
"ram": 4.333384009516443e-08,
"gpu": 1.4777419229333502e-07,
"total": 2.703722432496124e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3698604.5164287905
}
}
}
}