IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
e761057 verified
raw
history blame
8.61 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+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": "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": 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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "802823c7274dfd9b1edbe9a02521fdbafa78149a",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 892.223488,
"max_global_vram": 1344.63488,
"max_process_vram": 41739.558912,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.076599609375,
"mean": 7.076599609375,
"stdev": 0.0,
"p50": 7.076599609375,
"p90": 7.076599609375,
"p95": 7.076599609375,
"p99": 7.076599609375,
"values": [
7.076599609375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1036.996608,
"max_global_vram": 1407.553536,
"max_process_vram": 270887.407616,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 73,
"total": 1.0026646223068234,
"mean": 0.013735131812422245,
"stdev": 0.0006100208400078087,
"p50": 0.013537880897521972,
"p90": 0.014641749000549317,
"p95": 0.014798580932617185,
"p99": 0.015706668090820313,
"values": [
0.01473643684387207,
0.015020437240600586,
0.014730677604675294,
0.014317878723144531,
0.014124600410461426,
0.013770041465759277,
0.01373964023590088,
0.013548280715942383,
0.01385531997680664,
0.013702839851379394,
0.013831640243530273,
0.013585241317749023,
0.013817081451416016,
0.013699000358581542,
0.01519899559020996,
0.01369867992401123,
0.013577240943908692,
0.013418841361999511,
0.013489240646362305,
0.013281401634216308,
0.013426680564880372,
0.013360280990600586,
0.013578680992126465,
0.013314361572265626,
0.013487481117248535,
0.013216761589050293,
0.013508601188659668,
0.01329548168182373,
0.013551960945129395,
0.013388280868530273,
0.013316600799560548,
0.013495800971984863,
0.01356684112548828,
0.01338524055480957,
0.013519640922546386,
0.013418360710144043,
0.013644281387329102,
0.013329561233520509,
0.01358828067779541,
0.013357400894165039,
0.013521401405334473,
0.013374361038208007,
0.017012111663818358,
0.013535000801086427,
0.013230361938476563,
0.013537880897521972,
0.013280760765075684,
0.01329212188720703,
0.013561241149902344,
0.013315481185913086,
0.013259001731872559,
0.014659796714782715,
0.014569558143615723,
0.013997400283813476,
0.014101399421691894,
0.014734517097473145,
0.014891797065734864,
0.014201719284057618,
0.014048439979553223,
0.0139113187789917,
0.014064279556274414,
0.01328700065612793,
0.013287322044372558,
0.013370361328125,
0.01322732162475586,
0.013342841148376465,
0.013341402053833008,
0.01333548069000244,
0.013771961212158203,
0.013350361824035645,
0.013369239807128907,
0.013296602249145507,
0.0136906795501709
]
},
"throughput": {
"unit": "samples/s",
"value": 72.80599950963601
},
"energy": null,
"efficiency": null
}
}
}