IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
925a47c verified
raw
history blame
8.95 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "5",
"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": 1091.530752,
"max_global_vram": 68702.69952,
"max_process_vram": 44184.313856,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 9.0128916015625,
"mean": 9.0128916015625,
"stdev": 0.0,
"p50": 9.0128916015625,
"p90": 9.0128916015625,
"p95": 9.0128916015625,
"p99": 9.0128916015625,
"values": [
9.0128916015625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1225.551872,
"max_global_vram": 68702.69952,
"max_process_vram": 319115.677696,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 72,
"total": 1.009999171257019,
"mean": 0.0140277662674586,
"stdev": 0.0016577279986311705,
"p50": 0.01340380573272705,
"p90": 0.015217913246154785,
"p95": 0.01530003275871277,
"p99": 0.018443556146621767,
"values": [
0.014562043190002441,
0.015182841300964355,
0.015184121131896973,
0.0152207612991333,
0.01509852123260498,
0.015192280769348145,
0.014940921783447265,
0.014890201568603515,
0.014763802528381347,
0.014887801170349121,
0.014873882293701172,
0.015113080978393555,
0.01491340160369873,
0.01485980224609375,
0.015099961280822754,
0.015468440055847167,
0.015236921310424804,
0.015224281311035157,
0.01528700065612793,
0.015315960884094239,
0.015474520683288574,
0.013164925575256347,
0.012913247108459473,
0.013135806083679199,
0.012910846710205079,
0.012965726852416991,
0.025712574005126953,
0.013339486122131348,
0.012950846672058106,
0.013040607452392577,
0.012989087104797363,
0.012991005897521973,
0.012943326950073242,
0.013003327369689942,
0.013181245803833008,
0.01296524715423584,
0.012987167358398437,
0.01300124740600586,
0.013209566116333008,
0.012966047286987305,
0.012975966453552246,
0.01293692684173584,
0.013264606475830078,
0.013009726524353027,
0.013007326126098633,
0.012956287384033203,
0.013233245849609375,
0.012989566802978516,
0.01299980640411377,
0.013018687248229981,
0.013309246063232421,
0.01301532554626465,
0.013017247200012207,
0.01296588706970215,
0.013299965858459472,
0.013440284729003906,
0.013432445526123047,
0.013604125022888184,
0.014099003791809082,
0.013754843711853027,
0.013172765731811524,
0.013031006813049317,
0.013375165939331055,
0.013895163536071778,
0.01464748191833496,
0.014707483291625977,
0.01439564323425293,
0.0146247615814209,
0.014332443237304688,
0.013883644104003907,
0.014410682678222656,
0.014030524253845215
]
},
"throughput": {
"unit": "samples/s",
"value": 71.28718720668913
},
"energy": null,
"efficiency": null
}
}
}