IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
3dc32e4 verified
raw
history blame
9.11 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": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"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": 1016.7296,
"max_global_vram": 68702.69952,
"max_process_vram": 44680.245248,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.7063857421875,
"mean": 7.7063857421875,
"stdev": 0.0,
"p50": 7.7063857421875,
"p90": 7.7063857421875,
"p95": 7.7063857421875,
"p99": 7.7063857421875,
"values": [
7.7063857421875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1177.337856,
"max_global_vram": 68702.69952,
"max_process_vram": 289552.941056,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 76,
"total": 1.0028019676208497,
"mean": 0.013194762731853285,
"stdev": 0.0019164331630223362,
"p50": 0.012694033622741699,
"p90": 0.01402186918258667,
"p95": 0.014301587820053101,
"p99": 0.02423795175552368,
"values": [
0.014042828559875488,
0.01340139102935791,
0.013436271667480468,
0.012806994438171387,
0.01258315372467041,
0.012446354866027833,
0.012316274642944335,
0.012202515602111816,
0.012153236389160157,
0.012184435844421387,
0.012258835792541504,
0.012274194717407226,
0.012225715637207032,
0.024384231567382814,
0.015178984642028808,
0.012629714965820313,
0.012761874198913574,
0.012524595260620117,
0.01251003360748291,
0.012561875343322754,
0.012767953872680664,
0.012549554824829102,
0.012528915405273438,
0.012670674324035645,
0.012992113113403321,
0.0125346736907959,
0.012563315391540528,
0.012536754608154297,
0.012779634475708007,
0.012817554473876953,
0.012728914260864258,
0.013284751892089844,
0.012474354743957519,
0.012747153282165528,
0.012565875053405761,
0.01253403377532959,
0.012576913833618164,
0.012802193641662598,
0.012573554039001464,
0.01253883457183838,
0.012569713592529296,
0.012747794151306153,
0.012542513847351075,
0.0125761137008667,
0.012591634750366211,
0.012813873291015625,
0.012598194122314454,
0.01255355453491211,
0.012564594268798829,
0.012828912734985352,
0.012583314895629883,
0.012591954231262206,
0.01259947395324707,
0.024189191818237303,
0.012722993850708008,
0.012642514228820801,
0.012590675354003907,
0.012821714401245117,
0.0132151517868042,
0.014285227775573731,
0.013914190292358398,
0.013520111083984375,
0.013495791435241699,
0.014056428909301758,
0.014247149467468261,
0.01435066795349121,
0.013777230262756348,
0.013687311172485351,
0.014000909805297852,
0.013314830780029296,
0.013548590660095216,
0.012729714393615723,
0.012974513053894044,
0.012716114044189453,
0.012702834129333497,
0.012685233116149903
]
},
"throughput": {
"unit": "samples/s",
"value": 75.7876454713289
},
"energy": null,
"efficiency": null
}
}
}