IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
8bed74c verified
raw
history blame
10 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": "c551ed4717b9f9db50458281347948dd265d9e3b",
"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": 1005.056,
"max_global_vram": 3097.43616,
"max_process_vram": 192326.844416,
"max_reserved": 555.74528,
"max_allocated": 499.507712
},
"latency": {
"unit": "s",
"count": 127,
"total": 0.996647822856903,
"mean": 0.00784762065241656,
"stdev": 0.00035778048819003205,
"p50": 0.007724771976470948,
"p90": 0.008369024658203125,
"p95": 0.00838793659210205,
"p99": 0.008472268657684327,
"values": [
0.008351328849792481,
0.008507968902587891,
0.008201410293579101,
0.008008769989013672,
0.008014530181884765,
0.007929571151733398,
0.007715970993041992,
0.007645252227783203,
0.007614531993865967,
0.0076428518295288085,
0.0076058912277221676,
0.007508292198181153,
0.007746531963348389,
0.007862211227416992,
0.0077508511543273925,
0.007626532077789306,
0.007727810859680176,
0.007816610813140869,
0.007756771087646485,
0.0076924519538879394,
0.007795650959014893,
0.007925090789794921,
0.007722850799560547,
0.007663812160491943,
0.007679491996765137,
0.007663490772247314,
0.0076729321479797365,
0.007661571025848388,
0.0076185321807861325,
0.007936930179595948,
0.007975971221923828,
0.007975811004638672,
0.008481087684631348,
0.008349728584289551,
0.008334049224853516,
0.00830828857421875,
0.008383648872375488,
0.008338688850402832,
0.008349409103393554,
0.008309888839721679,
0.008337088584899902,
0.008388608932495116,
0.008372769355773926,
0.008368768692016602,
0.008386367797851563,
0.008406048774719238,
0.008382208824157715,
0.008382208824157715,
0.008329089164733888,
0.00836940860748291,
0.00833996868133545,
0.008348448753356934,
0.008354208946228027,
0.008354848861694335,
0.00834860897064209,
0.008345728874206542,
0.008294208526611328,
0.008328289031982421,
0.008350369453430175,
0.008421089172363281,
0.008017090797424317,
0.008145089149475098,
0.007724771976470948,
0.007470692157745361,
0.00746701192855835,
0.007726850986480713,
0.007638852119445801,
0.007647651195526123,
0.007875330924987793,
0.007731650829315186,
0.00782029104232788,
0.0077740511894226075,
0.0077137317657470705,
0.007975010871887208,
0.007484131813049316,
0.007479331970214844,
0.007452931880950928,
0.007399813175201416,
0.007513092041015625,
0.007462371826171875,
0.00750573205947876,
0.007495172023773193,
0.007568131923675537,
0.0075401320457458496,
0.007540291786193848,
0.007489411830902099,
0.007510531902313233,
0.007513731956481934,
0.0082313289642334,
0.008227970123291016,
0.008447168350219726,
0.008420449256896972,
0.008231008529663086,
0.007839651107788085,
0.007939811229705811,
0.008026531219482422,
0.00813948917388916,
0.007667171955108643,
0.007525251865386963,
0.007458211898803711,
0.007455652236938477,
0.007699652194976807,
0.0074862117767333985,
0.007478692054748535,
0.007385093212127686,
0.007456131935119629,
0.007953250885009765,
0.007656130790710449,
0.007443972110748291,
0.007379813194274902,
0.0075310120582580565,
0.0075498919486999515,
0.00746317195892334,
0.007462852001190186,
0.007472772121429444,
0.0074812531471252445,
0.007508293151855468,
0.007435653209686279,
0.00749229097366333,
0.007515811920166015,
0.007454212188720703,
0.007468451976776123,
0.007471813201904297,
0.007527973175048828,
0.0074658927917480465,
0.007545732021331787,
0.007487812995910645
]
},
"throughput": {
"unit": "samples/s",
"value": 127.4271584078245
},
"energy": null,
"efficiency": null
}
}
}