IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/file.json with huggingface_hub
4ac748f verified
raw
history blame
11.4 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": true,
"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 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.214-202.855.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 890.138624,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993536
},
"latency": {
"unit": "s",
"count": 154,
"total": 1.0014327363967899,
"mean": 0.00650280997660253,
"stdev": 0.00021388913393038193,
"p50": 0.006459903955459595,
"p90": 0.006831820774078369,
"p95": 0.006857471919059753,
"p99": 0.0069436825037002565,
"values": [
0.007262207984924316,
0.0067983360290527345,
0.006879231929779053,
0.006853631973266602,
0.006860799789428711,
0.006831103801727295,
0.00682700777053833,
0.00685152006149292,
0.00694271993637085,
0.006814720153808594,
0.006944767951965332,
0.006825984001159668,
0.006788095951080322,
0.006792191982269287,
0.0067041277885437015,
0.006729728221893311,
0.006793216228485107,
0.006850560188293457,
0.006896639823913574,
0.006820864200592041,
0.006834176063537598,
0.006816768169403077,
0.006791168212890625,
0.0068321280479431154,
0.006855679988861084,
0.006842368125915528,
0.006790143966674805,
0.00682700777053833,
0.006816768169403077,
0.006427648067474365,
0.006453248023986816,
0.006552576065063476,
0.006458367824554443,
0.006496223926544189,
0.006458367824554443,
0.00657203197479248,
0.006557695865631104,
0.006412288188934326,
0.0064204797744750975,
0.0063907837867736815,
0.006481919765472412,
0.006502431869506836,
0.006575104236602783,
0.006882304191589355,
0.0068618240356445315,
0.006852608203887939,
0.006523903846740723,
0.0064767999649047855,
0.006418432235717773,
0.0064440321922302245,
0.006808576107025147,
0.006523903846740723,
0.006467584133148193,
0.006665184020996094,
0.006419456005096436,
0.006407167911529541,
0.006486015796661377,
0.006436863899230957,
0.006506559848785401,
0.0065781760215759275,
0.006404096126556396,
0.006455296039581298,
0.006433792114257812,
0.006498303890228272,
0.006457344055175781,
0.006512639999389648,
0.006477759838104248,
0.006490111827850342,
0.006460415840148926,
0.00658739185333252,
0.006543360233306885,
0.006508480072021485,
0.006599679946899414,
0.006478847980499268,
0.006461440086364746,
0.006533120155334473,
0.006404096126556396,
0.006509568214416504,
0.006450175762176514,
0.006375423908233643,
0.00636518383026123,
0.006194176197052002,
0.006404096126556396,
0.006467584133148193,
0.006201312065124511,
0.006201344013214111,
0.006171648025512695,
0.006261760234832763,
0.006228991985321045,
0.006301695823669433,
0.006254591941833496,
0.0063303041458129886,
0.006481919765472412,
0.006253568172454834,
0.00618393611907959,
0.006127615928649902,
0.006198272228240966,
0.006131711959838867,
0.006128640174865723,
0.006179840087890625,
0.006153215885162353,
0.00618393611907959,
0.006137792110443115,
0.006278143882751465,
0.00611737585067749,
0.006278143882751465,
0.006145023822784424,
0.00614192008972168,
0.0062494721412658695,
0.006147039890289307,
0.0066826238632202144,
0.006419456005096436,
0.006433792114257812,
0.006445055961608887,
0.006451200008392334,
0.00652288007736206,
0.006462463855743408,
0.006412288188934326,
0.00643071985244751,
0.006379519939422608,
0.00643174409866333,
0.0064174079895019534,
0.00638976001739502,
0.006446080207824707,
0.00637440013885498,
0.006553599834442139,
0.006446080207824707,
0.006403071880340576,
0.006481919765472412,
0.00643174409866333,
0.006437888145446777,
0.006496255874633789,
0.006459392070770263,
0.00648089599609375,
0.006452223777770996,
0.006419424057006836,
0.006425663948059082,
0.006435840129852295,
0.006437888145446777,
0.006432767868041992,
0.006435840129852295,
0.006478847980499268,
0.0064287037849426265,
0.0064430079460144046,
0.0064778242111206055,
0.006423552036285401,
0.006436863899230957,
0.006426623821258545,
0.0064471039772033695,
0.006494175910949707,
0.00648089599609375,
0.006475776195526123,
0.006486015796661377,
0.006469632148742676
]
},
"throughput": {
"unit": "samples/s",
"value": 153.7796742635961
},
"energy": {
"unit": "kWh",
"cpu": 7.514877954783488e-08,
"ram": 4.1082792785910214e-08,
"gpu": 1.3599166997468262e-07,
"total": 2.5222324230842775e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3964741.674271095
}
}
}
}