IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
7ced49e verified
raw
history blame
8.79 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.2.0.dev20231010+rocm5.7",
"_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": "6",
"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": false,
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"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": 968.237056,
"max_global_vram": 68702.69952,
"max_process_vram": 47960.449024,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.686638671875,
"mean": 8.686638671875,
"stdev": 0.0,
"p50": 8.686638671875,
"p90": 8.686638671875,
"p95": 8.686638671875,
"p99": 8.686638671875,
"values": [
8.686638671875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1110.69184,
"max_global_vram": 68702.69952,
"max_process_vram": 268298.706944,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 68,
"total": 1.0114993982315061,
"mean": 0.014874991150463326,
"stdev": 0.0009950715423193012,
"p50": 0.014758656978607178,
"p90": 0.015081314277648927,
"p95": 0.015235009384155274,
"p99": 0.017783230953216538,
"values": [
0.015181458473205567,
0.01531857681274414,
0.015191537857055664,
0.015280016899108887,
0.015121297836303711,
0.015258417129516602,
0.014874576568603515,
0.014973297119140624,
0.01475313663482666,
0.014998417854309082,
0.014826416969299316,
0.014884337425231934,
0.014866256713867187,
0.014933457374572754,
0.014920177459716797,
0.01475905704498291,
0.014758256912231446,
0.01469857692718506,
0.01478049659729004,
0.014783857345581054,
0.01473825740814209,
0.014808656692504883,
0.014962737083435058,
0.015033937454223633,
0.014792656898498536,
0.014823376655578613,
0.01476785659790039,
0.014695696830749512,
0.014856017112731934,
0.014810096740722657,
0.014731857299804687,
0.014889296531677245,
0.014952016830444335,
0.015064178466796875,
0.014936656951904296,
0.01496369743347168,
0.015016496658325195,
0.015017936706542969,
0.01496385669708252,
0.014700337409973145,
0.014632816314697266,
0.014553297042846679,
0.014454257011413575,
0.014449775695800781,
0.014487056732177735,
0.014495697021484375,
0.01443073558807373,
0.014541136741638183,
0.0227872257232666,
0.014280655860900878,
0.014495697021484375,
0.014491216659545898,
0.014468175888061523,
0.014531856536865234,
0.014539696693420411,
0.014507856369018555,
0.014511857032775879,
0.014614577293395997,
0.014474736213684083,
0.014500496864318847,
0.01460673713684082,
0.014495535850524903,
0.014683217048645019,
0.014612977027893066,
0.014455696105957032,
0.014590415954589844,
0.014556977272033691,
0.014561777114868163
]
},
"throughput": {
"unit": "samples/s",
"value": 67.22693075140768
},
"energy": null,
"efficiency": null
}
}
}