IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
dbdc445 verified
raw
history blame
7.84 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": "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,
"latency": true,
"memory": 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",
"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": "0.2.0",
"optimum_benchmark_commit": "77e62a3eef699bce70248c56d35c703369938b85",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1026.748416,
"max_global_vram": 2748.55936,
"max_process_vram": 267803.648,
"max_reserved": 773.849088,
"max_allocated": 745.087488
},
"latency": {
"unit": "s",
"count": 77,
"total": 1.005843825340271,
"mean": 0.013062906822600922,
"stdev": 0.0005158271595246444,
"p50": 0.01292061996459961,
"p90": 0.013494185829162599,
"p95": 0.013681673622131348,
"p99": 0.015245998001098627,
"values": [
0.01495853614807129,
0.013243658065795898,
0.013378378868103027,
0.013487017631530762,
0.013504938125610351,
0.013479179382324218,
0.013379978179931641,
0.013349259376525879,
0.013257098197937012,
0.013009738922119141,
0.012889419555664063,
0.012874539375305177,
0.012980459213256836,
0.013019179344177246,
0.012888138771057128,
0.012966059684753417,
0.013015499114990234,
0.013394218444824219,
0.013094538688659669,
0.013166378974914551,
0.01291309928894043,
0.013165099143981934,
0.012958859443664551,
0.016156293869018554,
0.013078378677368165,
0.012786059379577637,
0.012691980361938476,
0.012859498977661133,
0.01266670036315918,
0.012919658660888672,
0.01271757984161377,
0.012658059120178223,
0.012621580123901367,
0.012916778564453125,
0.01269950008392334,
0.012735018730163574,
0.01295453929901123,
0.012729260444641113,
0.012689579963684082,
0.012948458671569824,
0.012816939353942871,
0.012950859069824218,
0.01292061996459961,
0.012734379768371582,
0.012717260360717773,
0.012922219276428223,
0.012697098731994629,
0.01273390007019043,
0.012915498733520507,
0.012762539863586426,
0.012754379272460937,
0.012972938537597655,
0.012746540069580078,
0.0127335786819458,
0.012716460227966308,
0.012750219345092774,
0.013044138908386231,
0.012760780334472656,
0.012700939178466797,
0.012734379768371582,
0.013669577598571778,
0.013730057716369629,
0.013482217788696288,
0.013854537963867188,
0.01337725830078125,
0.01339453887939453,
0.013374378204345703,
0.01360525894165039,
0.013593098640441895,
0.012959979057312011,
0.012903018951416016,
0.012700300216674804,
0.013029739379882813,
0.01274173927307129,
0.012752140045166015,
0.012707497596740723,
0.012680620193481444
]
},
"throughput": {
"unit": "samples/s",
"value": 76.55263974399938
},
"energy": null,
"efficiency": null
}
}
}