IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
249134d verified
raw
history blame
6.79 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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "144d755b3f25afde6379cd1489a9242ba4ce723e",
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"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": 969.342976,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.51393174399999,
"mean": 4.51393174399999,
"stdev": 0.0,
"p50": 4.51393174399999,
"p90": 4.51393174399999,
"p95": 4.51393174399999,
"p99": 4.51393174399999,
"values": [
4.51393174399999
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.459525528333479e-05,
"ram": 2.2818522807991407e-06,
"gpu": 0,
"total": 5.687710756413393e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 883.171328,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 23,
"total": 1.0073043300001814,
"mean": 0.0437958404347905,
"stdev": 0.000814542028576336,
"p50": 0.043313857999976335,
"p90": 0.04499520840000741,
"p95": 0.04501767160002714,
"p99": 0.045047902960012605,
"values": [
0.04328805000000102,
0.04327551599999424,
0.04240081300002885,
0.04381249400000797,
0.04505636900000809,
0.04327090700002145,
0.043038760999991155,
0.043313857999976335,
0.04288772800003926,
0.045015733000013824,
0.04457049699999516,
0.043179896000026474,
0.04328610499999286,
0.04297726600003671,
0.04475116700001536,
0.04491310999998177,
0.04440276200000426,
0.044251959000007446,
0.04280241800000795,
0.04426481299998386,
0.04423913400000856,
0.04501788700002862,
0.04328708700001016
]
},
"throughput": {
"unit": "samples/s",
"value": 22.833218636115518
},
"energy": {
"unit": "kWh",
"cpu": 1.4866512946502003e-06,
"ram": 6.212908572422462e-08,
"gpu": 0.0,
"total": 1.5487803803744249e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 645669.3361251422
}
}
}
}