IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
5195cd8 verified
raw
history blame
11.4 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_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": {},
"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-5.10.224-212.876.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": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 799.584256,
"max_global_vram": 1192.7552,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.991064453125,
"mean": 7.991064453125,
"stdev": 0.0,
"p50": 7.991064453125,
"p90": 7.991064453125,
"p95": 7.991064453125,
"p99": 7.991064453125,
"values": [
7.991064453125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 2.350228667445562e-06,
"ram": 1.2685167855790866e-06,
"gpu": 3.401113831957847e-06,
"total": 7.019859284982496e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1096.282112,
"max_global_vram": 1203.24096,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.038592
},
"latency": {
"unit": "s",
"count": 129,
"total": 0.9979625272750855,
"mean": 0.007736143622287485,
"stdev": 0.00034827328323903543,
"p50": 0.007877632141113282,
"p90": 0.008041062545776368,
"p95": 0.008169919967651366,
"p99": 0.008412610511779784,
"values": [
0.008289279937744141,
0.00829849624633789,
0.008161279678344726,
0.008175680160522461,
0.008088576316833495,
0.008103936195373536,
0.007962624073028564,
0.007931903839111328,
0.007953407764434815,
0.007902207851409913,
0.007945216178894043,
0.007918591976165772,
0.008059904098510743,
0.007930880069732665,
0.008138751983642578,
0.008456192016601562,
0.007935967922210694,
0.007996416091918946,
0.00799129581451416,
0.007949312210083008,
0.007942143917083741,
0.007861248016357422,
0.0078919677734375,
0.00790835189819336,
0.007944191932678223,
0.007913472175598145,
0.009253888130187989,
0.007925759792327881,
0.007911424160003662,
0.007947264194488525,
0.007915520191192627,
0.00795750379562378,
0.007817215919494629,
0.007591936111450195,
0.007585792064666748,
0.007624703884124756,
0.00758784008026123,
0.007590911865234375,
0.007607295989990235,
0.007970816135406494,
0.007916543960571289,
0.007966720104217529,
0.007968704223632812,
0.007956448078155518,
0.007990272045135497,
0.007890944004058837,
0.007894015789031983,
0.007907328128814697,
0.007952383995056152,
0.007927807807922363,
0.00785203218460083,
0.007970816135406494,
0.007932928085327149,
0.008006655693054199,
0.007836671829223632,
0.007822336196899414,
0.00790015983581543,
0.00791756820678711,
0.007858176231384278,
0.007877632141113282,
0.007905312061309814,
0.007933951854705811,
0.007863296031951903,
0.007831552028656007,
0.007990272045135497,
0.008228863716125488,
0.008094719886779785,
0.007948287963867188,
0.007982079982757568,
0.007942143917083741,
0.007888895988464355,
0.007979008197784423,
0.007911424160003662,
0.007922688007354736,
0.008036352157592774,
0.00784281587600708,
0.007840767860412597,
0.0077281279563903805,
0.007721983909606934,
0.007931903839111328,
0.00759500789642334,
0.007491583824157715,
0.007727104187011719,
0.007506944179534912,
0.007572480201721191,
0.007548927783966064,
0.007602176189422607,
0.007635007858276368,
0.008026111602783203,
0.008300543785095215,
0.007547904014587403,
0.007566336154937744,
0.007966720104217529,
0.007425024032592774,
0.00748748779296875,
0.007579648017883301,
0.00753766393661499,
0.007465983867645264,
0.007211008071899414,
0.007245823860168457,
0.007231488227844239,
0.007316480159759522,
0.0072427520751953125,
0.007325695991516113,
0.007235583782196045,
0.007236608028411865,
0.007236608028411865,
0.007227392196655274,
0.007251904010772705,
0.00722431993484497,
0.007235583782196045,
0.007283648014068603,
0.007214079856872559,
0.007291903972625732,
0.007256063938140869,
0.00723964786529541,
0.007262176036834717,
0.007264256000518799,
0.00722431993484497,
0.007269375801086426,
0.007233535766601563,
0.007255040168762207,
0.0072325119972229,
0.007216127872467041,
0.007217088222503662,
0.007233535766601563,
0.007206912040710449,
0.0072120318412780765,
0.007236608028411865
]
},
"throughput": {
"unit": "samples/s",
"value": 129.26337059191152
},
"energy": {
"unit": "kWh",
"cpu": 8.879735535306381e-08,
"ram": 4.852506669808182e-08,
"gpu": 1.6513487505985751e-07,
"total": 3.0245729711100315e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3306251.8562182207
}
}
}
}