IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
5611cbd verified
raw
history blame
8.77 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",
"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": {},
"hub_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": "error",
"numactl": false,
"numactl_kwargs": {},
"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": "0.3.1",
"optimum_benchmark_commit": "bc977b19adf337e8eb02985f3cceb35e1a783a1c",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 889.93792,
"max_global_vram": 1059.876864,
"max_process_vram": 45376.118784,
"max_reserved": 773.849088,
"max_allocated": 736.605184
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.03282568359375,
"mean": 7.03282568359375,
"stdev": 0.0,
"p50": 7.03282568359375,
"p90": 7.03282568359375,
"p95": 7.03282568359375,
"p99": 7.03282568359375,
"values": [
7.03282568359375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1034.592256,
"max_global_vram": 1122.791424,
"max_process_vram": 285750.837248,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 76,
"total": 1.0063634653091433,
"mean": 0.013241624543541353,
"stdev": 0.0007334117241933112,
"p50": 0.013227514743804932,
"p90": 0.013927194595336914,
"p95": 0.014024873971939087,
"p99": 0.014902914524078369,
"values": [
0.01448399543762207,
0.014551674842834473,
0.01405199432373047,
0.013477595329284667,
0.013387194633483887,
0.01321887493133545,
0.013144156455993653,
0.013086874961853028,
0.0130401554107666,
0.013450875282287597,
0.0130654354095459,
0.01320943546295166,
0.013022714614868165,
0.013379514694213867,
0.013794395446777344,
0.015956633567810057,
0.013046875,
0.01266575527191162,
0.0122463960647583,
0.012263834953308106,
0.012244316101074218,
0.012209754943847656,
0.012231995582580566,
0.012183195114135742,
0.012211674690246583,
0.012422076225280762,
0.012997594833374024,
0.013619834899902344,
0.01391759490966797,
0.013236154556274414,
0.013037275314331055,
0.012858235359191894,
0.012420475959777832,
0.012857436180114746,
0.012225435256958008,
0.012833274841308594,
0.013887354850769043,
0.013948314666748047,
0.013827195167541504,
0.013812475204467774,
0.013826395034790039,
0.013927353858947753,
0.013812314987182618,
0.013822714805603027,
0.013836315155029297,
0.013876315116882323,
0.013821595191955567,
0.013973274230957032,
0.013821914672851562,
0.013827195167541504,
0.013853434562683106,
0.013875994682312012,
0.013846875190734863,
0.014015833854675292,
0.01383231544494629,
0.013848315238952637,
0.013882715225219727,
0.013927035331726074,
0.013306394577026367,
0.012793435096740722,
0.01325439453125,
0.013843515396118163,
0.013548634529113769,
0.013053275108337403,
0.013016634941101075,
0.01284719467163086,
0.012859834671020507,
0.012225275993347167,
0.012242074966430663,
0.012320316314697266,
0.012251194953918456,
0.012220155715942383,
0.012590873718261718,
0.012213114738464356,
0.012332635879516602,
0.012290555000305176
]
},
"throughput": {
"unit": "samples/s",
"value": 75.51943469713868
},
"energy": null,
"efficiency": null
}
}
}