IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
8d41a77 verified
raw
history blame
13.2 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": "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": 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": "0.2.1",
"optimum_benchmark_commit": "8320ce6f24eaa5099bd3b49d8d44c0c1368af14b",
"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": 1049.903104,
"max_global_vram": 1107.554304,
"max_process_vram": 227775.42656,
"max_reserved": 725.614592,
"max_allocated": 513.035776
},
"latency": {
"unit": "s",
"count": 55,
"total": 0.501430368423462,
"mean": 0.009116915789517491,
"stdev": 0.0007145054113880196,
"p50": 0.009029122352600097,
"p90": 0.00958358669281006,
"p95": 0.009593490314483642,
"p99": 0.01161352951049805,
"values": [
0.010792963027954102,
0.009583842277526856,
0.009583203315734864,
0.009364322662353515,
0.009029122352600097,
0.008921281814575195,
0.009048481941223145,
0.008988483428955078,
0.008998722076416015,
0.012576803207397461,
0.008639521598815918,
0.008470561981201172,
0.008458882331848145,
0.008660482406616212,
0.00844512176513672,
0.008450242042541503,
0.009421603202819824,
0.00953440284729004,
0.00953536319732666,
0.009528801918029786,
0.009535362243652343,
0.0095934419631958,
0.009580162048339844,
0.009528962135314942,
0.00957376194000244,
0.009591682434082031,
0.009560961723327637,
0.00955360221862793,
0.009528482437133789,
0.0095604829788208,
0.009593603134155273,
0.009557123184204102,
0.009496163368225098,
0.009529282569885254,
0.008572161674499512,
0.00845472240447998,
0.008479042053222656,
0.009567201614379883,
0.009547041893005372,
0.009111842155456544,
0.00889024257659912,
0.009016161918640136,
0.00844416332244873,
0.008466721534729004,
0.00846336269378662,
0.00854160213470459,
0.008462722778320313,
0.008455842018127442,
0.008468002319335937,
0.008435522079467773,
0.00845488166809082,
0.008432802200317382,
0.008436801910400391,
0.008427842140197754,
0.008486401557922364
]
},
"throughput": {
"unit": "tokens/s",
"value": 219.37243319715353
},
"energy": null,
"efficiency": null
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1049.903104,
"max_global_vram": 1107.554304,
"max_process_vram": 244252.831744,
"max_reserved": 725.614592,
"max_allocated": 513.25952
},
"latency": {
"unit": "s",
"count": 55,
"total": 0.49807517147064206,
"mean": 0.009055912208557127,
"stdev": 0.00036102537063846345,
"p50": 0.009014883041381837,
"p90": 0.009522370147705078,
"p95": 0.009584658908843994,
"p99": 0.00970297218322754,
"values": [
0.009014883041381837,
0.009310881614685058,
0.009283681869506837,
0.009057762145996094,
0.008947202682495117,
0.009124642372131347,
0.009068801879882812,
0.009161441802978516,
0.009200642585754395,
0.008834562301635741,
0.008744482994079589,
0.008763682365417481,
0.008684963226318359,
0.008665282249450684,
0.008696482658386231,
0.00874736213684082,
0.009775201797485351,
0.00945552158355713,
0.009343522071838379,
0.00932960319519043,
0.009368642807006836,
0.009330883026123046,
0.009427522659301758,
0.00957520294189453,
0.009641443252563477,
0.009509602546691894,
0.009606722831726075,
0.009558563232421874,
0.009390241622924804,
0.009475042343139648,
0.009468642234802246,
0.009530881881713867,
0.009399682044982911,
0.009139681816101074,
0.008614083290100098,
0.008655362129211426,
0.008923683166503906,
0.009507843017578125,
0.009492802619934081,
0.008901601791381835,
0.008932962417602539,
0.008618561744689942,
0.008803682327270508,
0.008656641960144044,
0.008732481956481934,
0.008702402114868163,
0.008728322029113769,
0.008647361755371093,
0.00860848331451416,
0.008639202117919922,
0.00869536304473877,
0.00852800178527832,
0.008734883308410645,
0.008647682189941407,
0.008670401573181153
]
},
"throughput": {
"unit": "tokens/s",
"value": 110.42509876090432
},
"energy": null,
"efficiency": null
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 54,
"total": 0.982280698776245,
"mean": 0.018190383310671205,
"stdev": 0.0009477776191301808,
"p50": 0.01810136413574219,
"p90": 0.019158131217956544,
"p95": 0.01924619626998901,
"p99": 0.020362498264312745,
"values": [
0.019028484344482424,
0.01892832374572754,
0.01833232307434082,
0.018057924270629883,
0.018016164779663085,
0.018217283248901366,
0.01812848472595215,
0.01819984436035156,
0.021464643478393556,
0.017429283142089844,
0.017332164764404297,
0.01712288475036621,
0.017363523483276366,
0.01716576385498047,
0.017186723709106445,
0.019164804458618165,
0.019340003967285156,
0.018969444274902342,
0.01889248466491699,
0.018935043334960936,
0.018992963790893554,
0.01898320388793945,
0.01892912483215332,
0.01938512420654297,
0.019112964630126954,
0.01916096305847168,
0.019151523590087892,
0.01905200386047363,
0.019051204681396483,
0.01910128402709961,
0.01902736473083496,
0.01906208419799805,
0.01869840431213379,
0.01712096405029297,
0.017217124938964844,
0.017518884658813478,
0.019195684432983397,
0.01903680419921875,
0.018074243545532227,
0.017814563751220702,
0.017595684051513672,
0.017221603393554687,
0.017281604766845704,
0.01715264320373535,
0.01730048370361328,
0.01728560447692871,
0.01726112365722656,
0.017191043853759767,
0.017136804580688475,
0.01724160385131836,
0.017103683471679686,
0.017214244842529296,
0.01707248306274414,
0.0172600040435791
]
},
"throughput": {
"unit": "tokens/s",
"value": 54.97410268498081
},
"energy": null,
"efficiency": null
}
}
}