IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
1a65ace verified
raw
history blame
12.4 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"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": {},
"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": 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",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.224-212.876.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": "0.5.0",
"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": "1.22.0",
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.13.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 803.418112,
"max_global_vram": 1192.7552,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.376128
},
"latency": {
"unit": "s",
"values": [
7.98128955078125
],
"count": 1,
"total": 7.98128955078125,
"mean": 7.98128955078125,
"p50": 7.98128955078125,
"p90": 7.98128955078125,
"p95": 7.98128955078125,
"p99": 7.98128955078125,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.879046493450816e-07,
"ram": 5.223903265654133e-07,
"gpu": 1.7330569419549136e-06,
"total": 3.2433519178654086e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1094.10304,
"max_global_vram": 1203.24096,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"values": [
0.0071485438346862796,
0.006856704235076904,
0.0068392958641052244,
0.00678604793548584,
0.006738944053649902,
0.006799295902252197,
0.00672051191329956,
0.00674403190612793,
0.006760447978973389,
0.006754303932189941,
0.006709248065948486,
0.0067420158386230465,
0.0067573761940002445,
0.007127039909362793,
0.0069928960800170895,
0.006960224151611328,
0.006993919849395752,
0.006908927917480469,
0.006986752033233643,
0.006988800048828125,
0.007012288093566895,
0.006936575889587402,
0.006993919849395752,
0.007088128089904785,
0.007039999961853028,
0.007003136157989502,
0.006755328178405762,
0.006765567779541016,
0.006725632190704346,
0.006631423950195312,
0.0066304001808166506,
0.006726655960083008,
0.0066826238632202144,
0.006709248065948486,
0.0066826238632202144,
0.006766592025756836,
0.00704307222366333,
0.007075744152069092,
0.006922143936157227,
0.00687497615814209,
0.006947840213775635,
0.006996992111206054,
0.007015359878540039,
0.0068618240356445315,
0.006953983783721924,
0.006912000179290771,
0.00692633581161499,
0.006933504104614257,
0.006964223861694336,
0.006930431842803955,
0.0068618240356445315,
0.006951935768127441,
0.007077888011932373,
0.0070266880989074704,
0.006990848064422607,
0.006748159885406494,
0.006806496143341064,
0.006713344097137451,
0.006685696125030518,
0.006767615795135498,
0.006649856090545654,
0.006563839912414551,
0.00668175983428955,
0.006618112087249756,
0.0065372161865234375,
0.006603775978088379,
0.006450175762176514,
0.00642252779006958,
0.006616064071655273,
0.007066624164581299,
0.006599679946899414,
0.006615039825439453,
0.006654975891113281,
0.0067626237869262695,
0.006759424209594727,
0.006854656219482422,
0.006803455829620361,
0.006817791938781738,
0.006917151927947998,
0.006985727787017822,
0.0066375679969787596,
0.006650879859924317,
0.0066406397819519045,
0.00657919979095459,
0.006675456047058105,
0.006626304149627686,
0.006523903846740723,
0.006665215969085693,
0.006645760059356689,
0.006567935943603515,
0.006593440055847168,
0.006590464115142822,
0.0065474557876586915,
0.006527999877929688,
0.006557695865631104,
0.006730751991271973,
0.006631423950195312,
0.006593535900115967,
0.006567935943603515,
0.006618112087249756,
0.00658841609954834,
0.006568960189819336,
0.006960127830505371,
0.006650879859924317,
0.0065710082054138185,
0.0066109437942504885,
0.006604800224304199,
0.006585343837738037,
0.00658841609954834,
0.006561791896820069,
0.00658739185333252,
0.006586368083953857,
0.0065812478065490725,
0.006574079990386963,
0.006592512130737305,
0.00657919979095459,
0.0065853757858276366,
0.006606847763061524,
0.006565887928009034,
0.006550528049468994,
0.006589439868927002,
0.006412288188934326,
0.006379519939422608,
0.006427648067474365,
0.006512671947479248,
0.006526976108551025,
0.006523903846740723,
0.0065669121742248536,
0.006591487884521485,
0.006540287971496582,
0.00659660816192627,
0.006532095909118653,
0.006518784046173095,
0.007032832145690918,
0.006563680171966553,
0.006536191940307618,
0.0065474557876586915,
0.006526976108551025,
0.006484000205993652,
0.006549503803253174,
0.006416255950927734,
0.00617574405670166,
0.006220799922943115,
0.006209375858306884,
0.006258687973022461,
0.006182911872863769,
0.006264832019805908,
0.006227968215942382,
0.0062679038047790524
],
"count": 149,
"total": 0.9978904294967651,
"mean": 0.006697251204676277,
"p50": 0.006650879859924317,
"p90": 0.006993919849395752,
"p95": 0.007037132835388184,
"p99": 0.0071083622360229495,
"stdev": 0.00021167043435128634,
"stdev_": 3.160556889421886
},
"throughput": {
"unit": "samples/s",
"value": 149.31499049964881
},
"energy": {
"unit": "kWh",
"cpu": 7.585950364400515e-08,
"ram": 4.1455216093882735e-08,
"gpu": 1.3650223234542894e-07,
"total": 2.5381695208331685e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3939847.1685679383
}
}
}
}