IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
40fbc9e verified
raw
history blame
12.4 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_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": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.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": "0.3.1",
"optimum_benchmark_commit": null,
"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": 720.36352,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.16052880859375,
"mean": 7.16052880859375,
"stdev": 0.0,
"p50": 7.16052880859375,
"p90": 7.16052880859375,
"p95": 7.16052880859375,
"p99": 7.16052880859375,
"values": [
7.16052880859375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0362494322988723e-06,
"ram": 5.488363497906334e-07,
"gpu": 1.87250149800023e-06,
"total": 3.4575872800897357e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 912.95744,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 151,
"total": 0.9962660484313963,
"mean": 0.0065977884002079235,
"stdev": 0.000201352952893686,
"p50": 0.006672383785247803,
"p90": 0.006825984001159668,
"p95": 0.006913023948669434,
"p99": 0.006980607986450196,
"values": [
0.006971392154693603,
0.006998015880584717,
0.006989823818206787,
0.006959104061126709,
0.006920191764831543,
0.006930431842803955,
0.00694374418258667,
0.006825984001159668,
0.006772736072540283,
0.006789120197296142,
0.006809599876403808,
0.0067758078575134275,
0.006829055786132812,
0.006722559928894043,
0.006699007987976074,
0.006726655960083008,
0.006823967933654785,
0.0068280320167541505,
0.006789120197296142,
0.0067758078575134275,
0.006736832141876221,
0.006686719894409179,
0.006772736072540283,
0.0068280320167541505,
0.006838272094726563,
0.006765567779541016,
0.006792191982269287,
0.00688640022277832,
0.006721536159515381,
0.00673689603805542,
0.0067758078575134275,
0.0067758078575134275,
0.006729728221893311,
0.0066447358131408694,
0.006648831844329834,
0.006677504062652588,
0.006694911956787109,
0.006691840171813965,
0.0067041277885437015,
0.0066938881874084475,
0.006782976150512696,
0.006776832103729248,
0.006762495994567871,
0.006813695907592773,
0.006775904178619385,
0.0067348480224609375,
0.006708223819732666,
0.006692863941192627,
0.006760447978973389,
0.006750207901000976,
0.0067686400413513184,
0.006762495994567871,
0.006759424209594727,
0.00667955207824707,
0.006660096168518067,
0.006708191871643066,
0.006761472225189209,
0.006791168212890625,
0.006651904106140137,
0.006707200050354004,
0.006706175804138184,
0.006658048152923584,
0.00673686408996582,
0.006699007987976074,
0.006706175804138184,
0.006820864200592041,
0.006854656219482422,
0.006807551860809326,
0.00679423999786377,
0.006905856132507324,
0.00677785587310791,
0.0067420158386230465,
0.0067420158386230465,
0.006639616012573242,
0.006716415882110595,
0.0066979842185974124,
0.0066447358131408694,
0.006582272052764892,
0.006497280120849609,
0.00667852783203125,
0.006657023906707763,
0.006457344055175781,
0.006401023864746094,
0.006391808032989502,
0.006515711784362793,
0.006489088058471679,
0.0066416640281677245,
0.006672383785247803,
0.0066938881874084475,
0.006721471786499024,
0.006965248107910156,
0.006710271835327148,
0.006563839912414551,
0.006460415840148926,
0.006409215927124024,
0.006408192157745361,
0.00643071985244751,
0.006386688232421875,
0.0064102401733398436,
0.006378496170043945,
0.006384640216827392,
0.006397952079772949,
0.00636518383026123,
0.006393856048583985,
0.006348800182342529,
0.006386688232421875,
0.006396927833557129,
0.006338560104370118,
0.006336512088775635,
0.006346752166748047,
0.006348800182342529,
0.00638976001739502,
0.00642252779006958,
0.006392831802368164,
0.006368256092071533,
0.006376448154449463,
0.006396959781646729,
0.0063498239517211915,
0.006375423908233643,
0.006343679904937744,
0.0063539199829101565,
0.006388735771179199,
0.006331391811370849,
0.006348832130432129,
0.006355967998504639,
0.006371327877044678,
0.006360064029693604,
0.006351871967315674,
0.0063836159706115725,
0.006342656135559082,
0.006347775936126709,
0.006370304107666015,
0.0063508481979370115,
0.006355008125305176,
0.006348800182342529,
0.0063508481979370115,
0.006346752166748047,
0.006347775936126709,
0.00637337589263916,
0.006338560104370118,
0.006329343795776367,
0.006377471923828125,
0.006355967998504639,
0.0063569917678833006,
0.006362112045288086,
0.006364160060882569,
0.006388735771179199,
0.006385663986206055,
0.006386688232421875,
0.006362112045288086,
0.0063539199829101565
]
},
"throughput": {
"unit": "samples/s",
"value": 151.56593987895792
},
"energy": {
"unit": "kWh",
"cpu": 7.535316332986084e-08,
"ram": 4.116498216674873e-08,
"gpu": 1.4442346293671211e-07,
"total": 2.6094160843332164e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3832274.990577173
}
}
}
}