IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
a59ee1e verified
raw
history blame
15.4 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"hub_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,
"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",
"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": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"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": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1026.772992,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210816
},
"latency": {
"unit": "s",
"count": 68,
"total": 0.48683721542358405,
"mean": 0.007159370815052706,
"stdev": 0.0005869400753405781,
"p50": 0.006984511852264404,
"p90": 0.007265171241760254,
"p95": 0.0075343842029571536,
"p99": 0.010017961139678953,
"values": [
0.011092448234558105,
0.009488736152648926,
0.007892223834991455,
0.007593632221221924,
0.007378047943115235,
0.007264768123626709,
0.007206687927246094,
0.00721724796295166,
0.007162911891937256,
0.006976607799530029,
0.006988831996917725,
0.0071027522087097165,
0.006996640205383301,
0.006983935832977295,
0.007241951942443848,
0.0072485761642456055,
0.007191648006439209,
0.007154751777648926,
0.006962592124938965,
0.006970079898834228,
0.00695030403137207,
0.006972256183624267,
0.006926400184631348,
0.007006944179534912,
0.0069616961479187014,
0.00698144006729126,
0.006980160236358643,
0.00698367977142334,
0.006959167957305909,
0.006985087871551513,
0.006949567794799804,
0.006961599826812744,
0.006967775821685791,
0.006971519947052002,
0.006968992233276367,
0.006930079936981201,
0.006948768138885498,
0.0071426877975463866,
0.007157728195190429,
0.007253856182098389,
0.007424352169036866,
0.00718236780166626,
0.00712992000579834,
0.007092319965362549,
0.006944255828857422,
0.00701308822631836,
0.006958047866821289,
0.006957632064819336,
0.00716860818862915,
0.007266111850738525,
0.007158559799194336,
0.00696940803527832,
0.006969183921813965,
0.006953472137451172,
0.007021567821502686,
0.0069556479454040525,
0.007001279830932617,
0.00698905611038208,
0.006947167873382568,
0.0069697599411010745,
0.006960512161254883,
0.0070340800285339355,
0.00695747184753418,
0.006949215888977051,
0.0069248957633972165,
0.006948671817779541,
0.006925663948059082,
0.0069901118278503415
]
},
"throughput": {
"unit": "tokens/s",
"value": 279.3541571830536
},
"energy": {
"unit": "kWh",
"cpu": 8.96628501022868e-08,
"ram": 4.886562034253953e-08,
"gpu": 1.668756556390991e-07,
"total": 3.054041260839254e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 6548699.998409313
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1026.772992,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.43456
},
"latency": {
"unit": "s",
"count": 68,
"total": 0.5178804802894591,
"mean": 0.007615889416021459,
"stdev": 0.000523931490294233,
"p50": 0.007437952041625976,
"p90": 0.00778439998626709,
"p95": 0.008351619219779966,
"p99": 0.009651712436676022,
"values": [
0.011244640350341797,
0.00858675193786621,
0.008867136001586914,
0.007779551982879639,
0.007662784099578857,
0.0076986560821533205,
0.007654592037200928,
0.007670911788940429,
0.007622111797332764,
0.007420191764831543,
0.007437856197357178,
0.007510816097259522,
0.007430016040802002,
0.007421311855316162,
0.007795711994171142,
0.007637728214263916,
0.007661920070648193,
0.0076052799224853515,
0.007407743930816651,
0.007505631923675537,
0.007397247791290283,
0.007394271850585938,
0.007398176193237305,
0.007390143871307373,
0.007506591796875,
0.007517312049865723,
0.007424352169036866,
0.007382431983947754,
0.007413055896759033,
0.007413343906402588,
0.007411104202270508,
0.007405632019042969,
0.007433760166168213,
0.00740390396118164,
0.007397984027862549,
0.007438047885894776,
0.0073983359336853025,
0.007856927871704101,
0.0077292160987854006,
0.007914944171905518,
0.00771347188949585,
0.0076407999992370605,
0.007687808036804199,
0.0074098238945007324,
0.007421760082244873,
0.007391903877258301,
0.007492928028106689,
0.007374527931213379,
0.008622112274169922,
0.00771724796295166,
0.007751711845397949,
0.007469279766082764,
0.007422751903533935,
0.007387648105621338,
0.007415071964263916,
0.00739792013168335,
0.007496352195739746,
0.007384799957275391,
0.007441952228546143,
0.007423776149749756,
0.007488096237182617,
0.0073702077865600586,
0.00739254379272461,
0.007606751918792724,
0.007466368198394776,
0.007406688213348388,
0.007433824062347412,
0.007404223918914795
]
},
"throughput": {
"unit": "tokens/s",
"value": 131.30442754280432
},
"energy": {
"unit": "kWh",
"cpu": 8.487354033473343e-08,
"ram": 4.65589413368746e-08,
"gpu": 1.5991382147854418e-07,
"total": 2.9134630315015206e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3432341.4753769054
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 67,
"total": 0.9845258226394655,
"mean": 0.014694415263275603,
"stdev": 0.0005965264785785816,
"p50": 0.014455807685852052,
"p90": 0.015069798278808593,
"p95": 0.015435264396667479,
"p99": 0.017320038833618167,
"values": [
0.018242559432983398,
0.01684480094909668,
0.015525888442993165,
0.015081472396850586,
0.014987263679504394,
0.014904352188110351,
0.014910431861877441,
0.014814208030700684,
0.014426112174987793,
0.014441472053527832,
0.014653440475463866,
0.01446399974822998,
0.014417920112609863,
0.015062015533447265,
0.014924799919128418,
0.014864383697509765,
0.01480191993713379,
0.014405632019042968,
0.01447116756439209,
0.014407679557800293,
0.01439846420288086,
0.014347264289855957,
0.014425087928771972,
0.014470144271850586,
0.014547967910766601,
0.014436351776123046,
0.014385151863098144,
0.014403583526611329,
0.014422016143798828,
0.014384127616882325,
0.014395392417907715,
0.014418944358825684,
0.014412799835205077,
0.01438822364807129,
0.01439641571044922,
0.014376959800720214,
0.014972928047180176,
0.014937088012695313,
0.015161343574523926,
0.015223808288574218,
0.014828543663024902,
0.014861311912536621,
0.01454694366455078,
0.014369791984558105,
0.014455807685852052,
0.014476287841796874,
0.014356479644775391,
0.01577676773071289,
0.015043583869934082,
0.014908415794372559,
0.01448038387298584,
0.014434304237365723,
0.014367744445800782,
0.014459903717041016,
0.01438419246673584,
0.014517184257507323,
0.014407679557800293,
0.014407711982727051,
0.014412768363952637,
0.01448140811920166,
0.014431232452392579,
0.01438310432434082,
0.01457151985168457,
0.014428159713745118,
0.014367744445800782,
0.014361599922180175,
0.014449664115905762
]
},
"throughput": {
"unit": "tokens/s",
"value": 68.05306520084591
},
"energy": null,
"efficiency": null
}
}
}