IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e8f588d verified
raw
history blame
10.9 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_type": "roberta",
"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,
"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": "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": "0.3.1",
"optimum_benchmark_commit": "33013b51e0268a2fd7f07c903783b994ac1e0021",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 900.1984,
"max_global_vram": 841.773056,
"max_process_vram": 46739.152896,
"max_reserved": 555.74528,
"max_allocated": 499.372544
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.25994921875,
"mean": 7.25994921875,
"stdev": 0.0,
"p50": 7.25994921875,
"p90": 7.25994921875,
"p95": 7.25994921875,
"p99": 7.25994921875,
"values": [
7.25994921875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1009.84832,
"max_global_vram": 898.27328,
"max_process_vram": 216003.21536,
"max_reserved": 555.74528,
"max_allocated": 499.5072
},
"latency": {
"unit": "s",
"count": 128,
"total": 0.9967672271728512,
"mean": 0.007787243962287903,
"stdev": 0.0003715302419767167,
"p50": 0.007675667524337768,
"p90": 0.008076579570770263,
"p95": 0.008175602960586547,
"p99": 0.0084911559009552,
"values": [
0.008070866584777832,
0.007909907817840576,
0.008147987365722656,
0.008144947052001953,
0.0081892671585083,
0.008261906623840331,
0.008337427139282226,
0.008479826927185059,
0.008150226593017578,
0.008039506912231445,
0.008046387672424316,
0.008015188217163086,
0.007993267059326173,
0.00793710708618164,
0.007903508186340332,
0.007855987071990967,
0.007859508037567138,
0.007844788074493408,
0.00779342794418335,
0.007828628063201904,
0.007835506916046142,
0.007778547763824463,
0.007772788047790528,
0.011139342308044434,
0.00800686740875244,
0.007512467861175537,
0.007643507957458496,
0.0076366281509399414,
0.0074891080856323245,
0.0075723080635070805,
0.0075228681564331054,
0.007516788005828857,
0.007524147987365722,
0.0075558280944824216,
0.007514068126678467,
0.007517428874969483,
0.007504629135131836,
0.007553108215332031,
0.007516948223114014,
0.007538387775421143,
0.0074902291297912595,
0.007520468235015869,
0.007557427883148194,
0.007551827907562256,
0.0075563077926635745,
0.007553587913513184,
0.007545907974243164,
0.007550067901611328,
0.0075625481605529786,
0.007530868053436279,
0.0077737469673156735,
0.0077044677734375,
0.00758814811706543,
0.007735827922821045,
0.007578067779541016,
0.007578547954559326,
0.007568627834320068,
0.007639187812805176,
0.007609908103942871,
0.007574227809906006,
0.007649427890777588,
0.007632308006286621,
0.007606388092041016,
0.007622067928314209,
0.007818868160247803,
0.007626708030700684,
0.0076438279151916505,
0.0076715068817138675,
0.007677107810974121,
0.007665587902069092,
0.007713908195495605,
0.007611187934875488,
0.007656467914581299,
0.007665586948394775,
0.007692627906799317,
0.007643507957458496,
0.007660947799682617,
0.007616787910461426,
0.007683507919311524,
0.007669908046722412,
0.007621747970581055,
0.007639828205108642,
0.007687027931213379,
0.007690547943115234,
0.007784947872161865,
0.0076862268447875975,
0.007672468185424805,
0.007618227958679199,
0.007629588127136231,
0.007637588024139405,
0.00768638801574707,
0.007602548122406006,
0.007604787826538086,
0.007616948127746582,
0.007708948135375976,
0.007663507938385009,
0.007691668033599853,
0.007660788059234619,
0.0076364679336547855,
0.007674227237701416,
0.007678547859191895,
0.0077079877853393555,
0.007708308219909668,
0.008495346069335937,
0.007845908164978028,
0.007911187171936035,
0.007931027889251709,
0.007937747955322266,
0.007858867168426514,
0.007935187816619872,
0.008005427360534669,
0.008052626609802245,
0.008073267936706542,
0.008084306716918946,
0.008097586631774902,
0.0077172679901123045,
0.0075894279479980465,
0.007603988170623779,
0.007612627983093262,
0.007626708030700684,
0.008360466957092284,
0.00809102725982666,
0.008063345909118653,
0.008071827888488769,
0.00800318717956543,
0.008048626899719238,
0.008004628181457519,
0.007977108001708984
]
},
"throughput": {
"unit": "samples/s",
"value": 128.4151369653762
},
"energy": null,
"efficiency": null
}
}
}