IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
6faa2e1 verified
raw
history blame
8.9 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-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": 772.788224,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.368603515625,
"mean": 7.368603515625,
"stdev": 0.0,
"p50": 7.368603515625,
"p90": 7.368603515625,
"p95": 7.368603515625,
"p99": 7.368603515625,
"values": [
7.368603515625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.1669743381941563e-06,
"ram": 5.989852278266224e-07,
"gpu": 1.6850013480002382e-06,
"total": 3.450960914021017e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1160.269824,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 69,
"total": 1.0089862384796142,
"mean": 0.01462298896347267,
"stdev": 0.00048756066809312667,
"p50": 0.014569503784179687,
"p90": 0.015046041679382326,
"p95": 0.01546833953857422,
"p99": 0.016270090026855463,
"values": [
0.01661337661743164,
0.016108543395996093,
0.01577881622314453,
0.015494144439697266,
0.015314944267272949,
0.014116864204406738,
0.013840383529663085,
0.01454694366455078,
0.014542847633361817,
0.014568448066711426,
0.014576640129089356,
0.014575615882873535,
0.014606399536132813,
0.014645248413085938,
0.014616576194763184,
0.014565376281738282,
0.014599167823791503,
0.014492671966552734,
0.014533632278442383,
0.014837759971618653,
0.014531583786010742,
0.014550016403198243,
0.01428172779083252,
0.014436351776123046,
0.014981120109558106,
0.014574591636657714,
0.014575615882873535,
0.01455513572692871,
0.01456124782562256,
0.014851103782653809,
0.014632960319519044,
0.014656512260437012,
0.014556159973144531,
0.014705663681030273,
0.014658559799194336,
0.014554112434387208,
0.014510144233703613,
0.014528512001037597,
0.014569503784179687,
0.0145797119140625,
0.014523391723632812,
0.01467084789276123,
0.014534655570983887,
0.01452236843109131,
0.014495743751525878,
0.0146626558303833,
0.014740480422973632,
0.014891008377075195,
0.014953472137451173,
0.014818304061889649,
0.014644224166870118,
0.014727168083190918,
0.014593024253845215,
0.014603263854980468,
0.014562303543090821,
0.014502911567687989,
0.01454694366455078,
0.014521344184875488,
0.015429632186889648,
0.014944255828857422,
0.015305727958679198,
0.014306303977966308,
0.013820863723754883,
0.013845536231994629,
0.01380140781402588,
0.013830143928527832,
0.01376159954071045,
0.013807616233825683,
0.013794303894042969
]
},
"throughput": {
"unit": "samples/s",
"value": 68.38547184149142
},
"energy": {
"unit": "kWh",
"cpu": 1.6809320540884398e-07,
"ram": 9.143966558853958e-08,
"gpu": 3.5654175628167515e-07,
"total": 6.160746272790586e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1623179.9780759965
}
}
}
}