IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
0e764af verified
raw
history blame
13.9 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": false,
"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 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "ba7db8be4ae5965d5e6183075f0edd30672dab7b",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 901.955584,
"max_global_vram": 1725.861888,
"max_process_vram": 48302.227456,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.16395361328125,
"mean": 8.16395361328125,
"stdev": 0.0,
"p50": 8.16395361328125,
"p90": 8.16395361328125,
"p95": 8.16395361328125,
"p99": 8.16395361328125,
"values": [
8.16395361328125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1056.305152,
"max_global_vram": 1390.870528,
"max_process_vram": 297492.287488,
"max_reserved": 725.614592,
"max_allocated": 513.035264
},
"latency": {
"unit": "s",
"count": 53,
"total": 0.5267999162673951,
"mean": 0.009939621061648965,
"stdev": 0.0034845797481902765,
"p50": 0.008937071800231934,
"p90": 0.010082399368286133,
"p95": 0.01754524536132812,
"p99": 0.024361555252075173,
"values": [
0.010067167282104493,
0.010086207389831544,
0.009730201721191406,
0.009328758239746094,
0.009030513763427735,
0.008909551620483399,
0.008966833114624024,
0.008982033729553222,
0.008858991622924804,
0.008914833068847655,
0.009463479042053222,
0.009541239738464356,
0.009379318237304687,
0.009511319160461426,
0.009530360221862794,
0.00902987289428711,
0.008968592643737793,
0.00894587230682373,
0.008936113357543945,
0.008924752235412598,
0.008924912452697754,
0.008950833320617677,
0.008925071716308594,
0.00892251205444336,
0.00894603157043457,
0.008937071800231934,
0.008950033187866212,
0.00892763328552246,
0.008941712379455567,
0.008949233055114745,
0.008872112274169923,
0.008847790718078613,
0.00883835220336914,
0.008851151466369628,
0.008920432090759278,
0.008881711959838867,
0.008872591972351074,
0.008535306930541992,
0.008633548736572266,
0.008882672309875488,
0.008593387603759765,
0.00854058837890625,
0.008273703575134277,
0.008410825729370117,
0.01606548309326172,
0.009075634002685547,
0.019764888763427736,
0.020912424087524414,
0.012091512680053712,
0.008101061820983886,
0.028098114013671877,
0.008191303253173828,
0.008064262390136719
]
},
"throughput": {
"unit": "tokens/s",
"value": 201.21491429052566
},
"energy": null,
"efficiency": null
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1056.272384,
"max_global_vram": 1392.308224,
"max_process_vram": 304331.313152,
"max_reserved": 725.614592,
"max_allocated": 513.259008
},
"latency": {
"unit": "s",
"count": 53,
"total": 0.4834712076187133,
"mean": 0.009122098256956855,
"stdev": 0.002730093220613872,
"p50": 0.008741550445556641,
"p90": 0.009365398216247559,
"p95": 0.010058558845520017,
"p99": 0.019677565879821727,
"values": [
0.009706042289733886,
0.009644600868225097,
0.009049874305725097,
0.008326664924621582,
0.008212423324584961,
0.008215944290161132,
0.00831418514251709,
0.0081626615524292,
0.008125862121582032,
0.009268755912780762,
0.009389558792114257,
0.00916171646118164,
0.009165876388549805,
0.010587333679199219,
0.00894747257232666,
0.008830191612243653,
0.00887515163421631,
0.008842991828918458,
0.00886107063293457,
0.008930192947387696,
0.008835951805114746,
0.008848751068115234,
0.008984272956848144,
0.008894512176513672,
0.008942193031311035,
0.008843791961669923,
0.008814030647277833,
0.008944592475891112,
0.008891152381896974,
0.008741550445556641,
0.008632429122924805,
0.008682350158691406,
0.00862586784362793,
0.008679789543151855,
0.008562828063964844,
0.008760910034179687,
0.008595467567443848,
0.008232583999633789,
0.008648268699645996,
0.008194982528686523,
0.008307464599609375,
0.008354504585266114,
0.00827738380432129,
0.008349544525146484,
0.008725069999694824,
0.008668749809265137,
0.028256675720214845,
0.008136741638183594,
0.011758387565612793,
0.007864099025726318,
0.007865697860717773,
0.007878819942474365,
0.008053220748901368
]
},
"throughput": {
"unit": "tokens/s",
"value": 109.62390141296301
},
"energy": null,
"efficiency": null
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 53,
"total": 0.4264730529785155,
"mean": 0.008046661376953123,
"stdev": 0.0006073211424505217,
"p50": 0.00801002025604248,
"p90": 0.008483306503295897,
"p95": 0.008881903648376465,
"p99": 0.01041444152832031,
"values": [
0.008928272247314453,
0.008850991249084473,
0.008487306594848632,
0.007857539176940919,
0.007766977787017822,
0.007769857883453369,
0.007838978767395019,
0.007724576950073242,
0.007669375896453857,
0.00846730613708496,
0.008584108352661133,
0.008382025718688966,
0.008345545768737793,
0.009742202758789063,
0.008133063316345215,
0.008080581665039062,
0.008047462463378906,
0.008076581954956055,
0.008055781364440918,
0.008101701736450195,
0.008062341690063476,
0.008047780990600585,
0.008205863952636719,
0.008085382461547852,
0.008105063438415527,
0.008054661750793456,
0.008058341026306152,
0.008078340530395509,
0.008084741592407227,
0.00801002025604248,
0.008000741004943848,
0.008001701354980469,
0.007971620082855225,
0.00797498083114624,
0.00794681978225708,
0.008080421447753906,
0.007938340187072753,
0.007548095226287842,
0.007965220928192138,
0.007591615200042725,
0.007605696201324463,
0.007710496902465821,
0.007640575885772705,
0.007633855819702148,
0.007999141216278077,
0.008031142234802247,
0.007450654029846192,
0.007428253173828125,
0.0111427001953125,
0.007244731903076172,
0.007201048851013183,
0.00725897216796875,
0.00740345287322998
]
},
"throughput": {
"unit": "tokens/s",
"value": 124.2751438334604
},
"energy": null,
"efficiency": null
}
}
}