IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
fe70f62 verified
raw
history blame
12.1 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+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-5.10.223-212.873.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 791.212032,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.40512451171875,
"mean": 7.40512451171875,
"stdev": 0.0,
"p50": 7.40512451171875,
"p90": 7.40512451171875,
"p95": 7.40512451171875,
"p99": 7.40512451171875,
"values": [
7.40512451171875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0636942145832428e-06,
"ram": 5.66896192268742e-07,
"gpu": 1.7127791480000924e-06,
"total": 3.3433695548520774e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1080.336384,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 145,
"total": 0.9983105902671814,
"mean": 0.006884900622532286,
"stdev": 0.00023685302236489876,
"p50": 0.006820864200592041,
"p90": 0.0070072128295898435,
"p95": 0.007377305507659912,
"p99": 0.007987076950073242,
"values": [
0.007468031883239746,
0.007479296207427978,
0.007378943920135498,
0.007370751857757568,
0.00740556812286377,
0.007334911823272705,
0.007450623989105225,
0.007342080116271973,
0.008430527687072755,
0.0070256319046020504,
0.006821887969970703,
0.006969344139099121,
0.006889472007751465,
0.006853663921356201,
0.006803455829620361,
0.006849535942077637,
0.006833151817321777,
0.006782976150512696,
0.006815743923187256,
0.00683622407913208,
0.008042495727539062,
0.007916543960571289,
0.007203839778900147,
0.006815743923187256,
0.006849503993988037,
0.0068915200233459475,
0.006838272094726563,
0.006799359798431396,
0.006854656219482422,
0.006853631973266602,
0.006783999919891357,
0.006853631973266602,
0.006812672138214112,
0.0067717118263244626,
0.006802432060241699,
0.006797311782836914,
0.006783999919891357,
0.0067645440101623535,
0.006795263767242431,
0.006800384044647217,
0.00678604793548584,
0.006801439762115479,
0.00683622407913208,
0.006830080032348633,
0.006817791938781738,
0.006852608203887939,
0.006820864200592041,
0.00679423999786377,
0.006807551860809326,
0.006800384044647217,
0.006788095951080322,
0.006792191982269287,
0.006871039867401123,
0.006823935985565186,
0.006778880119323731,
0.006843391895294189,
0.0068321280479431154,
0.006830080032348633,
0.006773759841918945,
0.0068351998329162595,
0.006833151817321777,
0.006810624122619629,
0.006838304042816162,
0.0068351998329162595,
0.006813695907592773,
0.0068055038452148435,
0.0068373122215270995,
0.006823935985565186,
0.006792191982269287,
0.006804480075836182,
0.007319551944732666,
0.0068832640647888185,
0.006749184131622315,
0.0068351998329162595,
0.0069212160110473635,
0.00687718391418457,
0.006814720153808594,
0.006833151817321777,
0.006838272094726563,
0.006781951904296875,
0.006849535942077637,
0.006853631973266602,
0.006805471897125244,
0.00683622407913208,
0.0068321280479431154,
0.006823935985565186,
0.006749184131622315,
0.006817791938781738,
0.006838272094726563,
0.0067870721817016606,
0.006811583995819092,
0.006831103801727295,
0.006843391895294189,
0.006802432060241699,
0.0068249602317810056,
0.006849535942077637,
0.006862847805023193,
0.006854656219482422,
0.006830080032348633,
0.007035903930664063,
0.006788095951080322,
0.0068351998329162595,
0.00683622407913208,
0.006808576107025147,
0.006800384044647217,
0.0068392958641052244,
0.006821887969970703,
0.006777823925018311,
0.00683622407913208,
0.006820864200592041,
0.006784959793090821,
0.006791168212890625,
0.00682912015914917,
0.006811647891998291,
0.006807551860809326,
0.006979584217071533,
0.0069253120422363285,
0.006825984001159668,
0.006781951904296875,
0.006814720153808594,
0.006806528091430664,
0.006744063854217529,
0.006815743923187256,
0.006776832103729248,
0.006778880119323731,
0.0067573761940002445,
0.0067870721817016606,
0.006807551860809326,
0.006743040084838867,
0.00677785587310791,
0.006747136116027832,
0.006744063854217529,
0.006802432060241699,
0.006799359798431396,
0.0067358717918396,
0.006894591808319092,
0.006810624122619629,
0.006809599876403808,
0.006751232147216797,
0.006785024166107178,
0.006758304119110108,
0.006731776237487793,
0.006788032054901123,
0.006799359798431396,
0.0067645440101623535
]
},
"throughput": {
"unit": "samples/s",
"value": 145.24537895685663
},
"energy": {
"unit": "kWh",
"cpu": 7.854458681015115e-08,
"ram": 4.294344898715416e-08,
"gpu": 1.433076937483424e-07,
"total": 2.647957295456477e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3776495.949220403
}
}
}
}