IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
174f908 verified
raw
history blame
8.89 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": 772.927488,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.3880361328125,
"mean": 7.3880361328125,
"stdev": 0.0,
"p50": 7.3880361328125,
"p90": 7.3880361328125,
"p95": 7.3880361328125,
"p99": 7.3880361328125,
"values": [
7.3880361328125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0703496791666824e-06,
"ram": 5.712758312544231e-07,
"gpu": 0.0,
"total": 1.6416255104211055e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1160.66304,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 69,
"total": 1.0093886070251465,
"mean": 0.01462882039166879,
"stdev": 0.0004921497485961317,
"p50": 0.01466163158416748,
"p90": 0.01503561611175537,
"p95": 0.015459327697753903,
"p99": 0.016326973495483395,
"values": [
0.01643427276611328,
0.016037887573242187,
0.015594495773315429,
0.015129599571228027,
0.014740480422973632,
0.014732288360595704,
0.014603263854980468,
0.014663519859313965,
0.014765055656433105,
0.014838784217834473,
0.014725119590759277,
0.01485916805267334,
0.014810111999511719,
0.01487241554260254,
0.014775296211242676,
0.01476198387145996,
0.016276479721069336,
0.014929920196533204,
0.014854144096374512,
0.014706687927246094,
0.015029248237609863,
0.014936063766479492,
0.01466163158416748,
0.015061087608337402,
0.014930944442749023,
0.014709759712219238,
0.014630911827087402,
0.01478656005859375,
0.014706720352172851,
0.014601183891296386,
0.014649344444274901,
0.014678879737854004,
0.015256575584411621,
0.01498419189453125,
0.014891008377075195,
0.014725119590759277,
0.014708736419677734,
0.014548992156982422,
0.01456544017791748,
0.014612383842468261,
0.014403583526611329,
0.014483455657958985,
0.014590975761413574,
0.014730048179626466,
0.014937088012695313,
0.014358528137207031,
0.014236672401428223,
0.014113792419433594,
0.014052351951599122,
0.014213120460510254,
0.014249088287353516,
0.014209919929504395,
0.014094335556030273,
0.014079839706420898,
0.014139391899108887,
0.014218239784240723,
0.014124032020568847,
0.014167039871215821,
0.01409126377105713,
0.014050304412841797,
0.01408409595489502,
0.014108672142028808,
0.014218239784240723,
0.014070688247680664,
0.014098431587219238,
0.014077856063842773,
0.01415167999267578,
0.014132224082946777,
0.014117888450622559
]
},
"throughput": {
"unit": "samples/s",
"value": 68.35821161421235
},
"energy": {
"unit": "kWh",
"cpu": 1.6451183612075574e-07,
"ram": 8.987302703142368e-08,
"gpu": 3.4801725372222413e-07,
"total": 6.024021168744035e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1660020.7269996908
}
}
}
}