IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
d4e554a verified
raw
history blame
10.2 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",
"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": "4ec62071e1c9b9c89fb7e3c044340b391a0c4120",
"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": 1003.741184,
"max_global_vram": 1878.8352,
"max_process_vram": 222728.245248,
"max_reserved": 555.74528,
"max_allocated": 499.507712
},
"latency": {
"unit": "s",
"count": 134,
"total": 0.997150959968567,
"mean": 0.00744142507439229,
"stdev": 0.0005052552363435464,
"p50": 0.007204571962356568,
"p90": 0.008009245967864991,
"p95": 0.008032549333572388,
"p99": 0.008212275142669678,
"values": [
0.007917293071746826,
0.0076779332160949705,
0.007604813098907471,
0.007605453014373779,
0.008181294441223145,
0.0077804927825927735,
0.007653613090515137,
0.007858572959899902,
0.007879054069519043,
0.007674572944641113,
0.007604812145233154,
0.00740721321105957,
0.007699532985687256,
0.007402091979980469,
0.007382091999053955,
0.00728193187713623,
0.0072398529052734376,
0.0073955321311950685,
0.007410412788391114,
0.007466891765594483,
0.0114553804397583,
0.008227534294128418,
0.007981933116912842,
0.008032493591308594,
0.008010573387145996,
0.00798737382888794,
0.008016653060913086,
0.00801025390625,
0.00803665256500244,
0.00798337411880493,
0.008031533241271973,
0.007848494052886963,
0.008006413459777833,
0.00796385383605957,
0.007999213218688964,
0.00801025390625,
0.008032652854919433,
0.007979534149169921,
0.007990413188934327,
0.007968173980712891,
0.0080068941116333,
0.008017132759094239,
0.008058894157409667,
0.007998572826385499,
0.007976014137268067,
0.007809613227844238,
0.007337131977081299,
0.007105772018432617,
0.007095851898193359,
0.007080972194671631,
0.007080652236938476,
0.007059852123260498,
0.007098731994628907,
0.0070518522262573245,
0.007060651779174805,
0.007094411849975586,
0.007107691764831543,
0.00709249210357666,
0.007108972072601318,
0.007115052223205566,
0.007137611865997314,
0.007104651927947998,
0.0070950517654418946,
0.00707233190536499,
0.007087371826171875,
0.007257771968841553,
0.007080811977386475,
0.0071593718528747555,
0.007066411018371582,
0.007076651096343994,
0.007103052139282227,
0.007099691867828369,
0.007313132762908936,
0.0071300921440124515,
0.007124492168426514,
0.007120011806488037,
0.00706577205657959,
0.007064332008361816,
0.007119852066040039,
0.007091532230377198,
0.0071073718070983885,
0.0070896120071411136,
0.00710289192199707,
0.0071062521934509276,
0.007079852104187012,
0.0072014517784118656,
0.007148652076721191,
0.007321133136749268,
0.007077930927276611,
0.00704577112197876,
0.007080972194671631,
0.007072812080383301,
0.007077132225036621,
0.007059532165527344,
0.007100811958312988,
0.00708433198928833,
0.007099371910095215,
0.007089131832122802,
0.0070876917839050296,
0.007048491954803467,
0.007071531772613525,
0.007360971927642822,
0.007640491962432861,
0.007520652770996093,
0.007469132900238037,
0.007770573139190674,
0.00807569408416748,
0.007974573135375976,
0.007420813083648682,
0.007417612075805664,
0.007496973037719726,
0.00755089282989502,
0.007626092910766601,
0.007592011928558349,
0.007132331848144532,
0.007179532051086426,
0.007126091957092285,
0.007170571804046631,
0.007204331874847412,
0.007182412147521973,
0.0071942520141601565,
0.007174252033233642,
0.007216012954711914,
0.007185291767120361,
0.0071968121528625485,
0.007256971836090088,
0.007204812049865722,
0.0071960129737854,
0.0071428918838500974,
0.0071392121315002445,
0.007193451881408692,
0.007171690940856934,
0.007217132091522217,
0.007174252033233642
]
},
"throughput": {
"unit": "samples/s",
"value": 134.38286215381478
},
"energy": null,
"efficiency": null
}
}
}