IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
4e1a5ed verified
raw
history blame
9.78 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-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",
"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": "0.2.1",
"optimum_benchmark_commit": "079be6729111d58c45eb7f4a60e984bbf86c5a81",
"transformers_version": "4.41.0",
"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": 1004.179456,
"max_global_vram": 1878.847488,
"max_process_vram": 202208.1536,
"max_reserved": 555.74528,
"max_allocated": 499.507712
},
"latency": {
"unit": "s",
"count": 122,
"total": 1.00090703868866,
"mean": 0.008204156054825081,
"stdev": 0.00046142715248547795,
"p50": 0.008049681186676025,
"p90": 0.008592529201507567,
"p95": 0.008962633943557737,
"p99": 0.010191703033447262,
"values": [
0.008147841453552246,
0.008175360679626464,
0.009133281707763672,
0.008336320877075195,
0.008262081146240234,
0.00865184211730957,
0.00853248119354248,
0.008212321281433106,
0.008133281707763671,
0.008088801383972168,
0.00809360122680664,
0.00806320095062256,
0.008075201988220215,
0.008140320777893067,
0.008188800811767578,
0.008091361045837402,
0.008186242103576661,
0.008721760749816895,
0.008599201202392577,
0.008972641944885253,
0.009487200736999511,
0.008248321533203125,
0.008722241401672364,
0.00979392147064209,
0.010297442436218262,
0.008366560935974121,
0.008173122406005859,
0.008205441474914551,
0.00870896053314209,
0.008229762077331544,
0.00818592071533203,
0.011249442100524903,
0.00834912109375,
0.008023521423339845,
0.008053120613098144,
0.007998082160949707,
0.008015360832214356,
0.008043841361999511,
0.008037920951843261,
0.007967681884765624,
0.007998401165008545,
0.008054241180419922,
0.007980801105499268,
0.008018880844116212,
0.008023361206054687,
0.008009441375732422,
0.00798752212524414,
0.0080020809173584,
0.008027521133422852,
0.008075840950012207,
0.008097762107849122,
0.00802480125427246,
0.007995680809020996,
0.008022081375122071,
0.008029281616210937,
0.008020960807800293,
0.008014881134033203,
0.008116161346435547,
0.00877248191833496,
0.008114400863647462,
0.00811168098449707,
0.008353442192077636,
0.008422560691833496,
0.00803744125366211,
0.007970080852508546,
0.008036802291870117,
0.008097761154174805,
0.007998721122741699,
0.008034721374511718,
0.008057601928710937,
0.00801776123046875,
0.008043201446533203,
0.008072641372680664,
0.008052162170410156,
0.008023040771484375,
0.008062081336975098,
0.008023361206054687,
0.008039841651916504,
0.008035680770874024,
0.007992001056671142,
0.008032960891723633,
0.008033761978149414,
0.008061120986938477,
0.00802992057800293,
0.008051680564880372,
0.008002561569213867,
0.008026721000671387,
0.00804464054107666,
0.008004481315612794,
0.008026721000671387,
0.008000640869140626,
0.008013920783996582,
0.007989121913909911,
0.007984001159667969,
0.008055841445922852,
0.008022081375122071,
0.008078882217407227,
0.008023040771484375,
0.008079521179199219,
0.008048801422119141,
0.008088481903076173,
0.008042241096496582,
0.00805056095123291,
0.008032641410827636,
0.007969121932983398,
0.008017921447753906,
0.008017921447753906,
0.008024480819702149,
0.00798656177520752,
0.007991681098937988,
0.008014081001281738,
0.008057921409606934,
0.007998402118682862,
0.008014081001281738,
0.008060001373291015,
0.008063840866088866,
0.00810000228881836,
0.008047520637512207,
0.008080480575561523,
0.008042080879211426,
0.008043201446533203,
0.009721281051635743
]
},
"throughput": {
"unit": "samples/s",
"value": 121.88944156076523
},
"energy": null,
"efficiency": null
}
}
}