IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
488ad2e verified
raw
history blame
17.1 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.1+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-5.10.224-212.876.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": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 800.54272,
"max_global_vram": 1362.624512,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.04646728515625,
"mean": 8.04646728515625,
"stdev": 0.0,
"p50": 8.04646728515625,
"p90": 8.04646728515625,
"p95": 8.04646728515625,
"p99": 8.04646728515625,
"values": [
8.04646728515625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 2.4855243125000945e-06,
"ram": 1.3421952057982338e-06,
"gpu": 3.2816692920000206e-06,
"total": 7.109388810298349e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1224.093696,
"max_global_vram": 1373.110272,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.49149065780639634,
"mean": 0.006826259136199951,
"stdev": 0.000263579961917705,
"p50": 0.0068819839954376225,
"p90": 0.007094569587707519,
"p95": 0.00720875985622406,
"p99": 0.007321497297286988,
"values": [
0.0073658242225646976,
0.0072085437774658204,
0.007252287864685058,
0.006921631813049316,
0.006950463771820068,
0.007209023952484131,
0.006789728164672852,
0.006884768009185791,
0.007068640232086182,
0.007036191940307617,
0.006821280002593994,
0.006891392230987549,
0.007070816040039062,
0.00704201602935791,
0.007021152019500733,
0.0069510722160339355,
0.00699728012084961,
0.006770431995391846,
0.006798208236694336,
0.006937248229980469,
0.006868288040161132,
0.0068917121887207035,
0.00709600019454956,
0.007094655990600586,
0.007043519973754883,
0.0068406081199646,
0.007045728206634521,
0.006887263774871826,
0.006979072093963623,
0.006776959896087647,
0.00693065595626831,
0.0070696001052856445,
0.006778687953948975,
0.006912032127380371,
0.006864352226257324,
0.006879199981689453,
0.007093760013580322,
0.007075712203979492,
0.007093791961669922,
0.0069352960586547855,
0.006890687942504883,
0.006906559944152832,
0.006742176055908203,
0.006528223991394043,
0.006853759765625,
0.0064011201858520505,
0.006909599781036377,
0.007089439868927002,
0.0071983041763305665,
0.007303391933441162,
0.006786752223968506,
0.006752480030059815,
0.006676703929901123,
0.0065354881286621095,
0.006634335994720459,
0.0065780158042907716,
0.006524415969848632,
0.006574399948120117,
0.006302656173706055,
0.006300127983093261,
0.00632316780090332,
0.006359839916229248,
0.006319776058197022,
0.006321728229522705,
0.006344736099243164,
0.006420576095581055,
0.006759071826934814,
0.006765376091003418,
0.006533279895782471,
0.006565663814544678,
0.006559584140777588,
0.006584320068359375
]
},
"throughput": {
"unit": "tokens/s",
"value": 292.9862403543857
},
"energy": {
"unit": "kWh",
"cpu": 7.850322162895757e-08,
"ram": 4.289703199222162e-08,
"gpu": 1.5165023169536344e-07,
"total": 2.730504853165426e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7324652.793352245
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1242.43968,
"max_global_vram": 1373.110272,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.5168103032112122,
"mean": 0.007177920877933502,
"stdev": 0.00028965879855993973,
"p50": 0.0072418878078460685,
"p90": 0.007485193634033203,
"p95": 0.007584815907478333,
"p99": 0.007821491189002992,
"values": [
0.007545567989349365,
0.007463391780853272,
0.007462624073028564,
0.007289120197296143,
0.007782144069671631,
0.0074143681526184085,
0.007201632022857666,
0.007311520099639893,
0.007587967872619629,
0.00735145616531372,
0.007216351985931397,
0.0074239039421081544,
0.007400479793548584,
0.007373536109924316,
0.007278111934661866,
0.00728223991394043,
0.007332159996032715,
0.007124127864837647,
0.007248799800872802,
0.0072531838417053225,
0.0072928318977355956,
0.007524352073669433,
0.007395967960357666,
0.007426591873168945,
0.007309408187866211,
0.0072986559867858885,
0.007420191764831543,
0.007295296192169189,
0.0072349758148193355,
0.007175680160522461,
0.007233119964599609,
0.0072633600234985355,
0.007233952045440674,
0.0072202558517456055,
0.0073658242225646976,
0.0073274879455566405,
0.00741644811630249,
0.007487616062164307,
0.007307328224182129,
0.007341023921966553,
0.0071874880790710445,
0.007195328235626221,
0.007059936046600342,
0.007045087814331055,
0.006837471961975098,
0.006642399787902832,
0.007330624103546143,
0.007585343837738037,
0.007584383964538574,
0.007116096019744873,
0.007055391788482666,
0.00698476791381836,
0.006908256053924561,
0.006950719833374024,
0.0068839359283447265,
0.0069136319160461425,
0.006901216030120849,
0.006879839897155762,
0.0066789441108703615,
0.006669248104095459,
0.0067116479873657224,
0.006646368026733398,
0.006684959888458252,
0.006687520027160644,
0.006656159877777099,
0.006669695854187012,
0.007917823791503907,
0.006957248210906982,
0.006861184120178223,
0.006827968120574951,
0.007017343997955322,
0.006849215984344482
]
},
"throughput": {
"unit": "tokens/s",
"value": 139.3161079657786
},
"energy": {
"unit": "kWh",
"cpu": 7.438987588706782e-08,
"ram": 4.065427507639188e-08,
"gpu": 1.4344615822771418e-07,
"total": 2.584903091911738e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3868616.9826986506
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 72,
"total": 0.48236847972869873,
"mean": 0.006699562218454149,
"stdev": 0.00024245577390400372,
"p50": 0.006737951993942261,
"p90": 0.006952345609664917,
"p95": 0.0070492671012878415,
"p99": 0.007311626186370851,
"values": [
0.007010303974151612,
0.006931456089019775,
0.006946815967559815,
0.006783999919891357,
0.0072540159225463864,
0.006874112129211426,
0.0067010560035705566,
0.006788095951080322,
0.007054336071014404,
0.0068321280479431154,
0.0067051520347595215,
0.006905856132507324,
0.00687718391418457,
0.0068392958641052244,
0.006755328178405762,
0.006760447978973389,
0.006834176063537598,
0.006598656177520752,
0.006746111869812011,
0.006704063892364502,
0.006779903888702392,
0.0069847040176391605,
0.006872064113616944,
0.0069027838706970214,
0.006772736072540283,
0.00676966381072998,
0.006895616054534912,
0.006781951904296875,
0.006750207901000976,
0.006663167953491211,
0.00672979211807251,
0.006746111869812011,
0.006713344097137451,
0.006672383785247803,
0.006860799789428711,
0.006790143966674805,
0.006890495777130127,
0.006952960014343262,
0.006766655921936035,
0.0068321280479431154,
0.006683648109436035,
0.006707200050354004,
0.006586368083953857,
0.006552576065063476,
0.006415359973907471,
0.006247424125671387,
0.006850560188293457,
0.007085055828094483,
0.007045119762420654,
0.0066979842185974124,
0.006622208118438721,
0.006564864158630371,
0.006511616230010986,
0.006554624080657959,
0.0064880638122558594,
0.006510591983795166,
0.006491136074066162,
0.006456319808959961,
0.0062975997924804685,
0.0062873601913452145,
0.0063211522102355954,
0.0062638077735900875,
0.006302720069885254,
0.006302720069885254,
0.006254528045654297,
0.00628223991394043,
0.007452672004699707,
0.0065372161865234375,
0.006467584133148193,
0.00643071985244751,
0.006617055892944336,
0.006450175762176514
]
},
"throughput": {
"unit": "tokens/s",
"value": 149.26348429834258
},
"energy": null,
"efficiency": null
}
}
}