IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
ebc448e verified
raw
history blame
17.1 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"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": {},
"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": 791.26528,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.39173486328125,
"mean": 7.39173486328125,
"stdev": 0.0,
"p50": 7.39173486328125,
"p90": 7.39173486328125,
"p95": 7.39173486328125,
"p99": 7.39173486328125,
"values": [
7.39173486328125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0323785381946968e-06,
"ram": 5.325475659688792e-07,
"gpu": 1.7213902659999562e-06,
"total": 3.286316370163532e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1213.345792,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.4882806406021119,
"mean": 0.00678167556391822,
"stdev": 0.00031486733050227174,
"p50": 0.006879631996154785,
"p90": 0.007111836862564087,
"p95": 0.007181587147712708,
"p99": 0.0073143064594268815,
"values": [
0.007463168144226074,
0.007197216033935547,
0.007253503799438477,
0.007237887859344482,
0.007028992176055908,
0.006829567909240723,
0.006894688129425049,
0.007084735870361328,
0.007058047771453858,
0.006925375938415528,
0.007105472087860107,
0.007062399864196777,
0.007085984230041504,
0.006965504169464111,
0.006988287925720215,
0.0068759040832519535,
0.006806719779968262,
0.006988351821899414,
0.006897280216217041,
0.007056960105895996,
0.007099423885345459,
0.007096159934997559,
0.00692844820022583,
0.007112544059753418,
0.006998271942138672,
0.007052768230438233,
0.006878943920135498,
0.006927103996276856,
0.006856704235076904,
0.006923583984375,
0.006918144226074219,
0.006922207832336426,
0.007063456058502197,
0.0070991358757019046,
0.007142111778259277,
0.007015615940093994,
0.006826720237731934,
0.007061312198638916,
0.006860991954803467,
0.006712287902832031,
0.006772863864898682,
0.00641974401473999,
0.006880320072174072,
0.0070424962043762205,
0.007168799877166748,
0.0071541438102722165,
0.0066276159286499025,
0.006547200202941895,
0.006530528068542481,
0.006491199970245361,
0.0064143362045288085,
0.006385568141937256,
0.006443776130676269,
0.0063474240303039555,
0.006358719825744629,
0.006402400016784668,
0.006321887969970703,
0.006343679904937744,
0.00636678409576416,
0.006356607913970947,
0.0063842878341674805,
0.006354656219482422,
0.006412000179290772,
0.006378687858581543,
0.006412352085113525,
0.006427519798278809,
0.006392864227294922,
0.0063452482223510746,
0.006331391811370849,
0.006363103866577149,
0.0063907837867736815,
0.006409664154052735
]
},
"throughput": {
"unit": "tokens/s",
"value": 294.9123680644593
},
"energy": {
"unit": "kWh",
"cpu": 7.955443245246282e-08,
"ram": 4.346449891738947e-08,
"gpu": 1.5415746859060299e-07,
"total": 2.771763999604553e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7215621.533021353
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1231.753216,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.5102495031356813,
"mean": 0.0070867986546622385,
"stdev": 0.0003224145663281046,
"p50": 0.007222959995269776,
"p90": 0.0074416447639465335,
"p95": 0.0074872080802917485,
"p99": 0.00759305006980896,
"values": [
0.0076564159393310545,
0.007567168235778809,
0.007325407981872559,
0.007509471893310547,
0.007190911769866943,
0.007211808204650879,
0.007347904205322266,
0.007388991832733154,
0.007452960014343262,
0.007344255924224854,
0.0073846721649169925,
0.007400800228118896,
0.007276671886444092,
0.007401311874389648,
0.007361152172088623,
0.0071233601570129396,
0.007251711845397949,
0.007298592090606689,
0.007279871940612793,
0.007441823959350586,
0.00740390396118164,
0.0074000959396362306,
0.007337344169616699,
0.007414847850799561,
0.007389984130859375,
0.0071363520622253415,
0.007246719837188721,
0.007459936141967774,
0.007197760105133057,
0.007291711807250976,
0.0072392959594726565,
0.007250624179840088,
0.007468992233276367,
0.007405439853668213,
0.007420159816741943,
0.007282400131225586,
0.0073003840446472165,
0.0071051521301269535,
0.0069250879287719724,
0.007252223968505859,
0.006771135807037354,
0.006699264049530029,
0.0072341117858886715,
0.007440032005310059,
0.007517119884490967,
0.006966464042663574,
0.006798463821411133,
0.006893760204315186,
0.006932735919952393,
0.006867936134338379,
0.006625343799591064,
0.006695487976074219,
0.006684639930725098,
0.006749983787536621,
0.006629280090332031,
0.006655263900756836,
0.006661087989807129,
0.00669977617263794,
0.006640927791595459,
0.006664159774780273,
0.006791071891784668,
0.006685887813568115,
0.006642911911010742,
0.006658559799194336,
0.006707871913909912,
0.006685984134674072,
0.00664134407043457,
0.006650847911834717,
0.006690336227416992,
0.006706528186798096,
0.006738399982452393,
0.006679103851318359
]
},
"throughput": {
"unit": "tokens/s",
"value": 141.10743774865446
},
"energy": {
"unit": "kWh",
"cpu": 7.494221792632466e-08,
"ram": 4.1008622558711825e-08,
"gpu": 1.4077061727952712e-07,
"total": 2.5672145776456357e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3895272.365261688
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 72,
"total": 0.4764394888877869,
"mean": 0.0066172151234414845,
"stdev": 0.0002610587645754095,
"p50": 0.0067292799949646,
"p90": 0.006906675100326538,
"p95": 0.006946355295181275,
"p99": 0.007048447589874268,
"values": [
0.007083936214447022,
0.007033952236175537,
0.006810624122619629,
0.006957056045532227,
0.006722559928894043,
0.006705056190490723,
0.006808576107025147,
0.006860799789428711,
0.006937600135803222,
0.006823935985565186,
0.006850560188293457,
0.006865920066833496,
0.006773759841918945,
0.006865920066833496,
0.0068392958641052244,
0.006614016056060791,
0.006743040084838867,
0.0067717118263244626,
0.006754271984100342,
0.006896639823913574,
0.0068392958641052244,
0.006906879901885986,
0.006810624122619629,
0.006904831886291504,
0.006863872051239014,
0.006632448196411133,
0.006744063854217529,
0.006920191764831543,
0.006703104019165039,
0.006778848171234131,
0.006739136219024658,
0.006736000061035156,
0.006897664070129395,
0.00687820816040039,
0.006896639823913574,
0.006774752140045166,
0.006744063854217529,
0.006634431838989258,
0.006497280120849609,
0.006740992069244385,
0.0063539199829101565,
0.0062975997924804685,
0.006745984077453613,
0.006933504104614257,
0.006980607986450196,
0.00653107213973999,
0.006402048110961914,
0.006492159843444824,
0.006527999877929688,
0.006466559886932373,
0.006242271900177002,
0.006278143882751465,
0.006281216144561768,
0.0063569917678833006,
0.006247424125671387,
0.006260735988616943,
0.006277120113372803,
0.0063170561790466305,
0.006238207817077636,
0.006262911796569824,
0.006390687942504883,
0.006302688121795654,
0.0062576642036437985,
0.006275072097778321,
0.006325247764587402,
0.006304768085479737,
0.006237152099609375,
0.0062494721412658695,
0.0062986879348754885,
0.006305791854858398,
0.006346752166748047,
0.006289408206939697
]
},
"throughput": {
"unit": "tokens/s",
"value": 151.1209748127275
},
"energy": null,
"efficiency": null
}
}
}