IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
8bbefff verified
raw
history blame
7.69 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",
"model": "microsoft/deberta-v3-base",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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,
"latency": true,
"memory": 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",
"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": "0.2.0",
"optimum_benchmark_commit": "c08a62a8b686d201c33b94256f220dd9ac7afa59",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1026.002944,
"max_global_vram": 1122.861056,
"max_process_vram": 293400.072192,
"max_reserved": 773.849088,
"max_allocated": 745.087488
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.9982586460113525,
"mean": 0.013864703416824341,
"stdev": 0.0008775687975349177,
"p50": 0.013518068313598633,
"p90": 0.015226274681091308,
"p95": 0.015443306303024292,
"p99": 0.015825706443786627,
"values": [
0.014052627563476562,
0.013443188667297363,
0.013963027954101563,
0.013929587364196777,
0.014079828262329102,
0.014433587074279785,
0.015525266647338868,
0.015425585746765136,
0.015281427383422851,
0.014912787437438966,
0.014777907371520996,
0.014775827407836914,
0.014732787132263184,
0.01488798713684082,
0.01493102741241455,
0.014955986976623535,
0.014879507064819336,
0.014914067268371582,
0.015256306648254395,
0.01551390552520752,
0.015449906349182129,
0.01656126594543457,
0.015437906265258788,
0.01454238796234131,
0.014739347457885741,
0.014297587394714355,
0.01328446865081787,
0.013039347648620605,
0.013294548988342285,
0.013050868034362792,
0.013018709182739258,
0.013044628143310547,
0.013322229385375977,
0.01306478786468506,
0.013261268615722657,
0.013448947906494141,
0.013012788772583007,
0.013073908805847167,
0.01343742847442627,
0.013072628974914551,
0.01309310817718506,
0.013475668907165528,
0.01312958812713623,
0.013103029251098634,
0.013540307998657226,
0.013056468009948731,
0.013020468711853026,
0.013529427528381347,
0.013089109420776367,
0.01303646755218506,
0.013506709098815918,
0.013137747764587402,
0.013062548637390137,
0.01307726764678955,
0.01308094882965088,
0.013655187606811524,
0.013132147789001465,
0.013093428611755371,
0.012960948944091798,
0.013092787742614746,
0.013567828178405761,
0.013003028869628907,
0.013061107635498047,
0.01327998924255371,
0.012995508193969727,
0.014052147865295411,
0.01462110710144043,
0.013949587821960449,
0.014319348335266113,
0.013757747650146484,
0.01387950611114502,
0.013771187782287598
]
},
"throughput": {
"unit": "samples/s",
"value": 72.12559619461707
},
"energy": null,
"efficiency": null
}
}
}