IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
447eff3 verified
raw
history blame
8.94 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": 773.12,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.36253564453125,
"mean": 7.36253564453125,
"stdev": 0.0,
"p50": 7.36253564453125,
"p90": 7.36253564453125,
"p95": 7.36253564453125,
"p99": 7.36253564453125,
"values": [
7.36253564453125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0754594895841605e-06,
"ram": 5.732178412276174e-07,
"gpu": 0.0,
"total": 1.6486773308117779e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1160.84736,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 70,
"total": 1.0097878379821774,
"mean": 0.014425540542602538,
"stdev": 0.0007732916924862301,
"p50": 0.01476095962524414,
"p90": 0.015105740451812745,
"p95": 0.015263743877410888,
"p99": 0.016176445560455326,
"values": [
0.01660108757019043,
0.015985664367675782,
0.014967871665954589,
0.014916607856750488,
0.014915583610534668,
0.015001600265502929,
0.014841856002807617,
0.015101951599121094,
0.015039487838745117,
0.01488486385345459,
0.015033344268798828,
0.01489401626586914,
0.014934016227722167,
0.014765055656433105,
0.014870528221130372,
0.014840831756591797,
0.014927871704101562,
0.014731264114379883,
0.014839712142944337,
0.015160320281982421,
0.015139840126037597,
0.014767104148864747,
0.014942208290100097,
0.015342592239379883,
0.015063039779663086,
0.014753791809082031,
0.015004672050476075,
0.014993408203125,
0.014756863594055175,
0.014690303802490234,
0.014809087753295898,
0.01528217601776123,
0.015241215705871582,
0.015047679901123047,
0.014864383697509765,
0.014880767822265625,
0.014708800315856934,
0.014651391983032227,
0.014767135620117187,
0.014462976455688477,
0.014701567649841308,
0.014755840301513673,
0.01488588809967041,
0.014856191635131836,
0.014531583786010742,
0.013788160324096679,
0.013472767829895019,
0.013526016235351563,
0.013396991729736327,
0.013373439788818359,
0.013476863861083984,
0.013364192008972167,
0.013415424346923829,
0.013452287673950195,
0.01347481632232666,
0.013492223739624023,
0.013468671798706054,
0.013442048072814941,
0.013475839614868163,
0.013365280151367188,
0.01330073642730713,
0.013347840309143067,
0.013334527969360351,
0.013332480430603028,
0.013339648246765137,
0.013362175941467285,
0.013422592163085938,
0.013507583618164062,
0.013610943794250489,
0.014090239524841308
]
},
"throughput": {
"unit": "samples/s",
"value": 69.32149246308853
},
"energy": {
"unit": "kWh",
"cpu": 1.665769153838689e-07,
"ram": 9.092307769577581e-08,
"gpu": 3.7156665527778475e-07,
"total": 6.290666483574295e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1589656.6804346142
}
}
}
}