IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
48289bd 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-5.10.223-211.872.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": "0.30.1",
"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": 788.258816,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.4203125,
"mean": 7.4203125,
"stdev": 0.0,
"p50": 7.4203125,
"p90": 7.4203125,
"p95": 7.4203125,
"p99": 7.4203125,
"values": [
7.4203125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0583059229168395e-06,
"ram": 5.64437860551315e-07,
"gpu": 1.7930569899998923e-06,
"total": 3.4158007734680464e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1077.379072,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 147,
"total": 0.9961810245513915,
"mean": 0.006776741663614909,
"stdev": 0.00026267472365395285,
"p50": 0.0068055038452148435,
"p90": 0.007064985752105713,
"p95": 0.007154380750656128,
"p99": 0.007489863710403441,
"values": [
0.007278592109680176,
0.00709939193725586,
0.007015423774719238,
0.006975488185882568,
0.0069324798583984375,
0.006938623905181885,
0.0069632000923156735,
0.006939648151397705,
0.006908927917480469,
0.006897664070129395,
0.006897664070129395,
0.006919167995452881,
0.006815743923187256,
0.0067645440101623535,
0.0069202561378479,
0.006825984001159668,
0.006800384044647217,
0.006968319892883301,
0.006880256175994873,
0.006815743923187256,
0.006852608203887939,
0.006817791938781738,
0.006764575958251953,
0.006797311782836914,
0.006905856132507324,
0.0068689918518066405,
0.0067870721817016606,
0.006853631973266602,
0.00688640022277832,
0.006790143966674805,
0.0067870721817016606,
0.006847487926483154,
0.006850560188293457,
0.006802432060241699,
0.006779903888702392,
0.00672054386138916,
0.0067123198509216305,
0.006737919807434082,
0.006774784088134766,
0.00684441614151001,
0.006782976150512696,
0.006778880119323731,
0.006830080032348633,
0.006841343879699707,
0.0068351998329162595,
0.006865920066833496,
0.006893504142761231,
0.006811647891998291,
0.006815743923187256,
0.006801407814025879,
0.006847487926483154,
0.006823935985565186,
0.006823935985565186,
0.006854623794555664,
0.006823935985565186,
0.006780928134918213,
0.006750207901000976,
0.006803455829620361,
0.006750207901000976,
0.006822912216186523,
0.006964223861694336,
0.006732831954956055,
0.00678604793548584,
0.0068055038452148435,
0.006810624122619629,
0.006854656219482422,
0.007128064155578613,
0.007031807899475098,
0.006838272094726563,
0.006872128009796143,
0.00692633581161499,
0.007418816089630127,
0.007160831928253173,
0.007098368167877197,
0.007812096118927002,
0.007540736198425293,
0.007073791980743408,
0.007068672180175781,
0.007139328002929687,
0.006985727787017822,
0.006960127830505371,
0.007058432102203369,
0.0068884482383728025,
0.0070553598403930665,
0.0072468481063842774,
0.006948863983154297,
0.0067420158386230465,
0.006676479816436768,
0.006713344097137451,
0.006917119979858399,
0.007006271839141846,
0.007062528133392334,
0.0070430078506469726,
0.007025728225708008,
0.007073791980743408,
0.007363584041595459,
0.0070522880554199216,
0.006889472007751465,
0.0074301438331604,
0.006728640079498291,
0.00653107213973999,
0.00651475191116333,
0.006461440086364746,
0.006556672096252441,
0.0067358717918396,
0.006614016056060791,
0.006616096019744873,
0.00667852783203125,
0.006658048152923584,
0.006519807815551758,
0.00648095989227295,
0.00643071985244751,
0.006457344055175781,
0.006432767868041992,
0.006471648216247559,
0.006461376190185547,
0.006440959930419922,
0.006471680164337158,
0.006453248023986816,
0.006419456005096436,
0.006427648067474365,
0.006408192157745361,
0.0064245758056640625,
0.006451200008392334,
0.006433792114257812,
0.006449151992797852,
0.006437920093536377,
0.006432767868041992,
0.006425600051879882,
0.006379519939422608,
0.006439871788024902,
0.006475776195526123,
0.006386688232421875,
0.00643071985244751,
0.006400000095367431,
0.006468607902526856,
0.00643891191482544,
0.006407167911529541,
0.0064430079460144046,
0.006437888145446777,
0.006418432235717773,
0.00643993616104126,
0.006412288188934326,
0.006426623821258545,
0.006605823993682861,
0.006408127784729004,
0.006455296039581298
]
},
"throughput": {
"unit": "samples/s",
"value": 147.5635415422596
},
"energy": {
"unit": "kWh",
"cpu": 7.614767272969926e-08,
"ram": 4.1609645751937626e-08,
"gpu": 1.5461728893589906e-07,
"total": 2.723746074175359e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3671414.1948887794
}
}
}
}