IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
8367271 verified
raw
history blame
5.85 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": {},
"hub_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,
"latency": true,
"memory": 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-6.5.0-1023-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "73dd36ea04ff1cc8259f4039b6f9d56dfb9eecd1",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 866.439168,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 25,
"total": 1.0184102640000106,
"mean": 0.04073641056000042,
"stdev": 0.0012686438393229912,
"p50": 0.04043405100000541,
"p90": 0.04194017160000953,
"p95": 0.0435696236000183,
"p99": 0.044356147560000635,
"values": [
0.040913939000006394,
0.041251692000003004,
0.040094255000013845,
0.04043405100000541,
0.040329815000006874,
0.03995428199999651,
0.03968564900000615,
0.04059308899999792,
0.039585731999977725,
0.03998840599999198,
0.039736113999992995,
0.03997583199998189,
0.0401386670000079,
0.039669519000000264,
0.039188668999997844,
0.04448711099999514,
0.03936692199999925,
0.040650276000008034,
0.040771321999983456,
0.04208239800001934,
0.041303518000006534,
0.04163896800000089,
0.040901775999998335,
0.04172683199999483,
0.043941430000018045
]
},
"throughput": {
"unit": "samples/s",
"value": 24.54806366719782
},
"energy": {
"unit": "kWh",
"cpu": 1.5961450470818417e-06,
"ram": 6.670385961751889e-08,
"gpu": 0.0,
"total": 1.6628489066993605e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 601377.549079267
}
}
}
}