IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
a02a2d5 verified
raw
history blame
6.83 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_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": "cpu",
"device_ids": null,
"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": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.767104,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "c48d602cd7a21df41cc07305fa12549ed74a7e13",
"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": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 964.460544,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.34109512500001,
"mean": 4.34109512500001,
"stdev": 0.0,
"p50": 4.34109512500001,
"p90": 4.34109512500001,
"p95": 4.34109512500001,
"p99": 4.34109512500001,
"values": [
4.34109512500001
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.1437505388888544e-05,
"ram": 2.1510780810833773e-06,
"gpu": 0,
"total": 5.358858346997192e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 878.34624,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 24,
"total": 1.0372734100000116,
"mean": 0.04321972541666715,
"stdev": 0.001103679696351824,
"p50": 0.04347498100001701,
"p90": 0.04419390369999121,
"p95": 0.04434866144999603,
"p99": 0.044717532940001095,
"values": [
0.043538815000005116,
0.04365893900001083,
0.04232415800001377,
0.04385247099997969,
0.043504219999988436,
0.04345608100001641,
0.04358943899998735,
0.04352751400000443,
0.04175168800000506,
0.04482727100000261,
0.04317955400000528,
0.04329394799998454,
0.04383242299999779,
0.042658912000007376,
0.042807087999989335,
0.04349388100001761,
0.04378540499999417,
0.043374638000017285,
0.042682717000019466,
0.043225409999990916,
0.04435014899999601,
0.04434023199999615,
0.04330163199998083,
0.038916825000001154
]
},
"throughput": {
"unit": "samples/s",
"value": 23.137583368689388
},
"energy": {
"unit": "kWh",
"cpu": 1.450462913580249e-06,
"ram": 6.065114523994174e-08,
"gpu": 0.0,
"total": 1.5111140588201909e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 661763.414987188
}
}
}
}