IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
1662bf7 verified
raw
history blame
10.6 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"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": "0.30.1",
"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": 909.778944,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.039104
},
"latency": {
"unit": "s",
"count": 136,
"total": 1.0033478102684021,
"mean": 0.007377557428444133,
"stdev": 0.00021638858495034747,
"p50": 0.007333888053894043,
"p90": 0.007510527849197387,
"p95": 0.007953152060508728,
"p99": 0.008251687860488893,
"values": [
0.007919616222381591,
0.008054783821105957,
0.008330143928527833,
0.008094719886779785,
0.008053759574890136,
0.00810598373413086,
0.008094719886779785,
0.00848793601989746,
0.007464960098266602,
0.0071394238471984865,
0.007062528133392334,
0.00709119987487793,
0.007077888011932373,
0.007067647933959961,
0.007155712127685547,
0.007181312084197998,
0.007498752117156982,
0.007526400089263916,
0.007412735939025879,
0.007723008155822754,
0.007329792022705078,
0.007391232013702393,
0.007315455913543701,
0.007322624206542969,
0.007290880203247071,
0.007324672222137451,
0.007349247932434082,
0.0074414081573486324,
0.007237631797790528,
0.007225344181060791,
0.00724889612197876,
0.00753868818283081,
0.007342080116271973,
0.007293951988220215,
0.007345088005065918,
0.007322624206542969,
0.007316480159759522,
0.007371776103973389,
0.007312287807464599,
0.007322624206542969,
0.007315455913543701,
0.007346176147460938,
0.007251904010772705,
0.007400447845458984,
0.00738099193572998,
0.007384064197540283,
0.007352320194244385,
0.007217152118682861,
0.00717523193359375,
0.0073134078979492185,
0.007328767776489258,
0.007414783954620361,
0.007437312126159668,
0.007305215835571289,
0.007299071788787842,
0.007243775844573975,
0.007360511779785156,
0.007388160228729248,
0.007293951988220215,
0.007341055870056152,
0.007519231796264648,
0.007388160228729248,
0.007302144050598145,
0.00744755220413208,
0.00739737606048584,
0.007312384128570557,
0.007331840038299561,
0.00734822416305542,
0.007268352031707764,
0.007335999965667725,
0.007383039951324463,
0.007353343963623047,
0.007436287879943848,
0.007304255962371826,
0.0073471999168395995,
0.0072499198913574215,
0.007223296165466309,
0.007217216014862061,
0.007202816009521484,
0.007387135982513428,
0.007198719978332519,
0.007322624206542969,
0.007344128131866455,
0.007358399868011475,
0.007408639907836914,
0.007387135982513428,
0.007293951988220215,
0.007323647975921631,
0.007311456203460694,
0.007319551944732666,
0.0072724480628967286,
0.007316480159759522,
0.007292928218841553,
0.0075642881393432615,
0.007203711986541748,
0.007411712169647216,
0.0073820161819458,
0.007333888053894043,
0.00740556812286377,
0.00733081579208374,
0.007519231796264648,
0.0073471999168395995,
0.007350272178649903,
0.0073400321006774905,
0.007333888053894043,
0.00720684814453125,
0.007328671932220459,
0.007300096035003662,
0.007320672035217285,
0.007264256000518799,
0.007266304016113281,
0.0072540159225463864,
0.007259136199951172,
0.0072540159225463864,
0.007407616138458252,
0.0073431038856506346,
0.007501823902130127,
0.007370751857757568,
0.007287807941436767,
0.007370751857757568,
0.007373824119567871,
0.0073359360694885255,
0.007322624206542969,
0.00733900785446167,
0.007328767776489258,
0.007344128131866455,
0.0073062400817871095,
0.007354368209838867,
0.007350272178649903,
0.00730614423751831,
0.00744755220413208,
0.007360511779785156,
0.007361536026000977,
0.0073175039291381834,
0.007311423778533935,
0.007287807941436767
]
},
"throughput": {
"unit": "samples/s",
"value": 135.54621698294144
},
"energy": {
"unit": "kWh",
"cpu": 8.678113843789453e-08,
"ram": 4.74336536948626e-08,
"gpu": 1.5339022814599926e-07,
"total": 2.876050202787564e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3476990.7668189052
}
}
}
}