IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
055ac1a verified
raw
history blame
8.86 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": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.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": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 772.882432,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.4282802734375,
"mean": 7.4282802734375,
"stdev": 0.0,
"p50": 7.4282802734375,
"p90": 7.4282802734375,
"p95": 7.4282802734375,
"p99": 7.4282802734375,
"values": [
7.4282802734375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.1015868250007248e-06,
"ram": 5.724913998177979e-07,
"gpu": 1.6880569060004347e-06,
"total": 3.3621351308189573e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1160.617984,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 68,
"total": 0.999733310699463,
"mean": 0.014701960451462692,
"stdev": 0.0004994009072114325,
"p50": 0.014788095951080323,
"p90": 0.015233750438690186,
"p95": 0.015460505628585815,
"p99": 0.016162651500701904,
"values": [
0.01640140724182129,
0.016045055389404296,
0.01565286445617676,
0.014869503974914551,
0.01480294418334961,
0.014738431930541992,
0.014847999572753906,
0.014927871704101562,
0.015046624183654786,
0.014798944473266601,
0.015023103713989258,
0.015089664459228515,
0.01495251178741455,
0.01478656005859375,
0.01490227222442627,
0.015453184127807617,
0.015268896102905273,
0.015385600090026855,
0.01546444797515869,
0.015145983695983887,
0.015159296035766602,
0.014873600006103516,
0.014916607856750488,
0.014888959884643555,
0.014919679641723632,
0.014717951774597168,
0.014732288360595704,
0.014993408203125,
0.014010368347167968,
0.013982720375061035,
0.013903871536254882,
0.01496780776977539,
0.015218688011169433,
0.015070207595825195,
0.014789631843566894,
0.014972928047180176,
0.014830528259277343,
0.014727168083190918,
0.014798848152160645,
0.014548959732055665,
0.01447116756439209,
0.015067135810852051,
0.014925824165344239,
0.015014911651611328,
0.0145797119140625,
0.014277631759643555,
0.014270463943481445,
0.01435750389099121,
0.014295040130615234,
0.014350336074829101,
0.014307328224182129,
0.014256128311157227,
0.014286848068237304,
0.014239744186401367,
0.014255104064941406,
0.014254079818725587,
0.01426534366607666,
0.014324735641479493,
0.014243840217590332,
0.01408614444732666,
0.014070752143859864,
0.014109696388244629,
0.014040063858032227,
0.014097408294677734,
0.014019583702087402,
0.01411075210571289,
0.01425715160369873,
0.014271488189697265
]
},
"throughput": {
"unit": "samples/s",
"value": 68.01813971010311
},
"energy": {
"unit": "kWh",
"cpu": 1.6902642792447315e-07,
"ram": 9.236188086889039e-08,
"gpu": 3.568547455774555e-07,
"total": 6.18243054370819e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1617486.832937722
}
}
}
}