IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
213c44f verified
raw
history blame
No virus
6.76 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "65fa416fd503cfe9a2be7637ee30c70a4a1f96f1",
"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": 971.5712,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.562895952000019,
"mean": 4.562895952000019,
"stdev": 0.0,
"p50": 4.562895952000019,
"p90": 4.562895952000019,
"p95": 4.562895952000019,
"p99": 4.562895952000019,
"values": [
4.562895952000019
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.158249272240534e-05,
"ram": 2.155851189598934e-06,
"gpu": 0,
"total": 5.3738343912004275e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 885.522432,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 22,
"total": 1.0121311299999434,
"mean": 0.04600596045454288,
"stdev": 0.000973232568691573,
"p50": 0.04621435100000326,
"p90": 0.04687211910000997,
"p95": 0.047378238300012754,
"p99": 0.04816240387999869,
"values": [
0.04594586299998582,
0.045493015000033665,
0.04578848799997104,
0.04613852400001406,
0.046483580999961305,
0.04626299800003153,
0.04619136299999127,
0.04528163800000584,
0.043405722999978025,
0.04637264299998378,
0.04629527899999175,
0.044790818000024046,
0.04635562200002141,
0.04542083899997351,
0.047402604000012616,
0.045089788999973734,
0.04647524599999997,
0.046915290000015375,
0.04645325399997091,
0.04496683799999346,
0.046237339000015254,
0.04836437599999499
]
},
"throughput": {
"unit": "samples/s",
"value": 21.736313949755928
},
"energy": {
"unit": "kWh",
"cpu": 1.5743766360812718e-06,
"ram": 6.57951283271359e-08,
"gpu": 0.0,
"total": 1.6401717644084078e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 609692.2418126672
}
}
}
}