IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
49e49e0 verified
raw
history blame
7 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"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": 16766.7712,
"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": "55e3b6a6531cdb8b0211e8ce38d37aaae85b9b71",
"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": 941.195264,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.286718438000037,
"mean": 4.286718438000037,
"stdev": 0.0,
"p50": 4.286718438000037,
"p90": 4.286718438000037,
"p95": 4.286718438000037,
"p99": 4.286718438000037,
"values": [
4.286718438000037
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.847423727222299e-05,
"ram": 2.0271380512288743e-06,
"gpu": 0,
"total": 5.0501375323451866e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 948.928512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 28,
"total": 1.0353032800001642,
"mean": 0.03697511714286301,
"stdev": 0.0008152789365687349,
"p50": 0.03700515150001138,
"p90": 0.03802828809997436,
"p95": 0.0381953274000125,
"p99": 0.03883686611003384,
"values": [
0.038113559999999325,
0.03727487499998006,
0.03738115400000197,
0.03642878600004451,
0.03799174299996366,
0.036637235999990025,
0.03726953500000718,
0.03640939000001708,
0.03716930799998863,
0.03562971500002732,
0.03691094600003453,
0.0382393560000196,
0.039057863000039106,
0.03617287800000213,
0.036801061000005575,
0.03549326900002825,
0.03699174700000185,
0.035879099999988284,
0.03701855600002091,
0.037631750999992164,
0.03732622200004698,
0.037608899000019846,
0.035726433999968776,
0.03717178299996249,
0.03724463899999364,
0.03692165600000408,
0.03623181900002237,
0.03656999899999391
]
},
"throughput": {
"unit": "samples/s",
"value": 27.04521519529578
},
"energy": {
"unit": "kWh",
"cpu": 1.202124907407383e-06,
"ram": 5.0267291757957526e-08,
"gpu": 0.0,
"total": 1.2523921991653402e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 798471.916917442
}
}
}
}