IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
2c65227 verified
raw
history blame
8.91 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": "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": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1016.344576,
"max_global_vram": 68702.69952,
"max_process_vram": 46672.257024,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 10.1493701171875,
"mean": 10.1493701171875,
"stdev": 0.0,
"p50": 10.1493701171875,
"p90": 10.1493701171875,
"p95": 10.1493701171875,
"p99": 10.1493701171875,
"values": [
10.1493701171875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1176.797184,
"max_global_vram": 68702.69952,
"max_process_vram": 281326.788608,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 71,
"total": 1.0068196582794189,
"mean": 0.014180558567315761,
"stdev": 0.0018349582835734584,
"p50": 0.013906750679016113,
"p90": 0.014748831748962403,
"p95": 0.015031153202056884,
"p99": 0.019625147247314418,
"values": [
0.015302593231201173,
0.014583552360534668,
0.015128353118896484,
0.014851552963256836,
0.014664192199707032,
0.01462611198425293,
0.015823875427246094,
0.014595392227172852,
0.014401310920715333,
0.0144334716796875,
0.01441107177734375,
0.014417152404785156,
0.014439231872558593,
0.028494781494140625,
0.01450483226776123,
0.01442803192138672,
0.014414112091064453,
0.013709469795227051,
0.013597310066223145,
0.013906750679016113,
0.014455072402954102,
0.013410429000854492,
0.01405219078063965,
0.013598270416259765,
0.013783551216125489,
0.013602109909057617,
0.013801630020141602,
0.013759390830993652,
0.01365266990661621,
0.014029790878295898,
0.013562589645385743,
0.0135758695602417,
0.013373469352722168,
0.013835551261901856,
0.013639229774475098,
0.013203389167785644,
0.013061948776245117,
0.0131469087600708,
0.013400829315185547,
0.01284994888305664,
0.012906268119812011,
0.01329347038269043,
0.013249149322509765,
0.012933467864990235,
0.012953948974609376,
0.01293858814239502,
0.013158429145812988,
0.013124988555908204,
0.013152189254760742,
0.013106908798217774,
0.013615070343017578,
0.013397150039672852,
0.014480192184448243,
0.014466912269592284,
0.014748831748962403,
0.014525312423706055,
0.014456192016601562,
0.014553312301635743,
0.014933953285217285,
0.014615872383117675,
0.014494911193847656,
0.014508670806884765,
0.014833632469177247,
0.014527551651000977,
0.014533632278442383,
0.014506752014160157,
0.014036670684814453,
0.013565950393676758,
0.013655710220336913,
0.013432989120483399,
0.013584989547729492
]
},
"throughput": {
"unit": "samples/s",
"value": 70.51908394531529
},
"energy": null,
"efficiency": null
}
}
}