IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
86823d4 verified
raw
history blame
6.9 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": 16766.7712,
"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": "0.5.0",
"optimum_benchmark_commit": "11fc1578907ddfc66a9a7fb8f19815e001677ad1",
"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": "1.22.0",
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 972.43136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
4.45476020000001
],
"count": 1,
"total": 4.45476020000001,
"mean": 4.45476020000001,
"p50": 4.45476020000001,
"p90": 4.45476020000001,
"p95": 4.45476020000001,
"p99": 4.45476020000001,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.037007126666645e-05,
"ram": 2.106430869593709e-06,
"gpu": 0,
"total": 5.247650213626016e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 886.710272,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.0444453069999895,
0.044263367999974434,
0.04477537600001824,
0.04440984100000378,
0.04572412099997791,
0.043936624999957985,
0.04535273600004075,
0.04548785899999075,
0.04533497299996725,
0.044538923000004615,
0.04487827799999877,
0.044725120999999035,
0.04499419499995838,
0.044669797999972616,
0.044268057000010685,
0.0437722770000164,
0.045869594000009783,
0.03841450800001667,
0.0383541559999685,
0.03885482300000831,
0.037992799000051036,
0.038162607000003845,
0.039179118999982165,
0.038337585000022045
],
"count": 24,
"total": 1.0307420459999435,
"mean": 0.042947585249997644,
"p50": 0.04442757399999664,
"p90": 0.04544732210000575,
"p95": 0.04568868169997984,
"p99": 0.04583613521000245,
"stdev": 0.0029219907208886263,
"stdev_": 6.803620515285632
},
"throughput": {
"unit": "samples/s",
"value": 23.284196170262096
},
"energy": {
"unit": "kWh",
"cpu": 1.4966318829060119e-06,
"ram": 6.258152112550426e-08,
"gpu": 0.0,
"total": 1.5592134040315161e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 641349.027281571
}
}
}
}