IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
06f8b92 verified
raw
history blame
11.5 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.0.dev20231010+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "6",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 957.067264,
"max_global_vram": 68702.69952,
"max_process_vram": 45264.879616,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.1591474609375,
"mean": 8.1591474609375,
"stdev": 0.0,
"p50": 8.1591474609375,
"p90": 8.1591474609375,
"p95": 8.1591474609375,
"p99": 8.1591474609375,
"values": [
8.1591474609375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1082.011648,
"max_global_vram": 68702.69952,
"max_process_vram": 224903.74144,
"max_reserved": 555.74528,
"max_allocated": 499.5072
},
"latency": {
"unit": "s",
"count": 132,
"total": 1.0011543745994573,
"mean": 0.007584502837874673,
"stdev": 0.0004292566322914227,
"p50": 0.007838650941848754,
"p90": 0.007963692092895509,
"p95": 0.008122539520263669,
"p99": 0.008589225034713745,
"values": [
0.008274251937866212,
0.008283371925354005,
0.008418412208557128,
0.008536011695861816,
0.008411372184753418,
0.007856491088867188,
0.00783889102935791,
0.0078384108543396,
0.00861313247680664,
0.0072984108924865725,
0.007314410209655762,
0.007367209911346435,
0.007254089832305908,
0.007227369785308838,
0.007247210025787354,
0.007194089889526367,
0.007196170806884766,
0.007229290008544922,
0.00724144983291626,
0.007247529983520508,
0.007233130931854248,
0.007244969844818115,
0.007247529983520508,
0.007240970134735108,
0.007234410762786865,
0.007214089870452881,
0.007253449916839599,
0.007285610198974609,
0.008720172882080077,
0.007212649822235107,
0.007037769794464111,
0.007066249847412109,
0.0070680098533630374,
0.007064169883728028,
0.007062089920043945,
0.007052330017089844,
0.0070816102027893065,
0.00721136999130249,
0.007110889911651611,
0.007176169872283936,
0.007104810237884522,
0.007099370002746582,
0.007094890117645264,
0.007053770065307617,
0.007066569805145264,
0.007092010021209716,
0.007109449863433838,
0.007066249847412109,
0.007102250099182129,
0.0070590500831604,
0.007071209907531738,
0.007064010143280029,
0.007040649890899658,
0.007068809986114502,
0.007021289825439453,
0.007852651119232178,
0.007250569820404053,
0.007023849964141846,
0.007028329849243164,
0.00738336992263794,
0.007909292221069337,
0.00791697120666504,
0.007924971103668212,
0.007927530765533448,
0.007848491191864013,
0.007868171215057373,
0.007905611991882324,
0.007927051067352295,
0.00788081121444702,
0.007910891056060791,
0.007946731090545655,
0.007884811878204346,
0.007883211135864258,
0.007943370819091796,
0.007887371063232422,
0.007950571060180664,
0.007928492069244385,
0.007919530868530273,
0.00798737096786499,
0.007976810932159423,
0.007964332103729248,
0.007934091091156005,
0.007928811073303222,
0.007943850994110107,
0.007888011932373047,
0.00793121099472046,
0.007913451194763183,
0.007898090839385986,
0.007938090801239014,
0.00787585210800171,
0.007908811092376709,
0.007916491031646728,
0.007904651165008545,
0.007888970851898193,
0.00794353199005127,
0.007928811073303222,
0.007920011043548584,
0.007955690860748292,
0.007896811008453368,
0.007011849880218506,
0.006990409851074218,
0.007066090106964112,
0.007064330101013184,
0.00714976978302002,
0.007043529987335205,
0.007074570178985596,
0.007078410148620606,
0.00754417085647583,
0.007887051105499268,
0.00790337085723877,
0.007912812232971191,
0.00736097002029419,
0.007671531200408936,
0.007963691234588623,
0.007922251224517823,
0.007937451839447022,
0.0076105699539184574,
0.007929932117462159,
0.007933771133422852,
0.007998411178588866,
0.007883851051330566,
0.00796369218826294,
0.007943211078643798,
0.007977130889892579,
0.007946731090545655,
0.007974731922149658,
0.007945291042327881,
0.007930410861968993,
0.007345769882202148,
0.007323369979858398,
0.007384009838104248,
0.007315210819244385
]
},
"throughput": {
"unit": "samples/s",
"value": 131.84779825070507
},
"energy": null,
"efficiency": null
}
}
}