IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
870e7b6 verified
raw
history blame
11 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"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 7643 48-Core Processor",
"cpu_count": 96,
"cpu_ram_mb": 1082028.982272,
"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": "c8d76f6e24e813974534bb204a76658d503b7b1f",
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 899.293184,
"max_global_vram": 875.331584,
"max_process_vram": 44252.823552,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 6.80892529296875,
"mean": 6.80892529296875,
"stdev": 0.0,
"p50": 6.80892529296875,
"p90": 6.80892529296875,
"p95": 6.80892529296875,
"p99": 6.80892529296875,
"values": [
6.80892529296875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1018.994688,
"max_global_vram": 938.868736,
"max_process_vram": 223412.49024,
"max_reserved": 589.299712,
"max_allocated": 439.456768
},
"latency": {
"unit": "s",
"count": 129,
"total": 1.002403895378113,
"mean": 0.0077705728323884705,
"stdev": 0.008160046132390976,
"p50": 0.0067534041404724125,
"p90": 0.008819697380065918,
"p95": 0.008919792175292969,
"p99": 0.01185048343658447,
"values": [
0.0069438028335571285,
0.00694700288772583,
0.007136120796203614,
0.007107481956481933,
0.007065402030944824,
0.007905877113342286,
0.0069218831062316894,
0.006932922840118408,
0.006865242958068848,
0.006830362796783447,
0.006701563835144043,
0.0066724448204040524,
0.006634044170379639,
0.006617243766784668,
0.006599645137786866,
0.0066078038215637205,
0.006593725204467773,
0.006667963981628418,
0.006623485088348389,
0.006650683879852295,
0.0066897239685058596,
0.00710764217376709,
0.009769867897033692,
0.006814202785491943,
0.006763323783874512,
0.007422999858856201,
0.008759793281555175,
0.008965230941772461,
0.008825713157653809,
0.008870832443237305,
0.008818193435668946,
0.008872112274169923,
0.00884475326538086,
0.00888491153717041,
0.00888811206817627,
0.009021711349487305,
0.008940912246704102,
0.00894315242767334,
0.0077999582290649416,
0.006795804023742676,
0.012659611701965333,
0.006712284088134766,
0.0066066842079162596,
0.006691644191741944,
0.006616125106811524,
0.006643643856048584,
0.006633563995361328,
0.006644444942474365,
0.006595804214477539,
0.007408440113067627,
0.0066804437637329106,
0.006698363780975341,
0.006656125068664551,
0.006713404178619385,
0.006685244083404541,
0.006728922843933106,
0.006708923816680908,
0.006765244007110596,
0.006731004238128662,
0.0066641240119934084,
0.0066713237762451175,
0.006725403785705566,
0.006629404067993164,
0.006618684768676758,
0.00679468297958374,
0.006683323860168457,
0.006713243961334228,
0.0066990041732788086,
0.006665565013885498,
0.006753403186798096,
0.006722043991088867,
0.0067822041511535645,
0.006724924087524414,
0.006706203937530518,
0.006646843910217285,
0.006704123973846435,
0.006702844142913818,
0.006776762962341309,
0.0067588438987731935,
0.006728603839874268,
0.006742204189300537,
0.00676572322845459,
0.00674540376663208,
0.00675788402557373,
0.006705883979797363,
0.0067559628486633305,
0.006724763870239258,
0.0075175600051879884,
0.006752923965454101,
0.006755804061889649,
0.0067534041404724125,
0.006728764057159424,
0.006662044048309326,
0.006676124095916748,
0.006660764217376709,
0.006625404834747314,
0.006635484218597412,
0.0066953239440917965,
0.006620604991912842,
0.006656923770904541,
0.0066617240905761715,
0.006664924144744873,
0.006657084941864014,
0.006679965019226074,
0.006652604103088379,
0.006644763946533203,
0.09959290313720703,
0.006955002784729004,
0.00676556396484375,
0.006820602893829346,
0.006778363227844238,
0.006871163845062256,
0.006833083152770996,
0.006832283020019531,
0.00680156421661377,
0.006811482906341553,
0.006876283168792725,
0.006881883144378662,
0.006799323081970215,
0.006934523105621338,
0.006844283103942871,
0.006875002861022949,
0.006953722953796386,
0.006849883079528808,
0.006838364124298096,
0.006835163116455078,
0.006815163135528565,
0.006860281944274902,
0.006802844047546387
]
},
"throughput": {
"unit": "samples/s",
"value": 128.6906411625031
},
"energy": null,
"efficiency": null
}
}
}