IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
943e769 verified
raw
history blame
5.71 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"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": {},
"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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.354496,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": "0b24af9d7b7751f74b160dfade73ef78e10964d6",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 940.38016,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 24,
"total": 1.0075622099999464,
"mean": 0.041981758749997766,
"stdev": 0.001432619222854652,
"p50": 0.041822753499985765,
"p90": 0.042444186099976376,
"p95": 0.0431326134499642,
"p99": 0.04701418162996163,
"values": [
0.04813927699996157,
0.04151944700004151,
0.040316035999978794,
0.03994275100001232,
0.041711749000000964,
0.041422323000006145,
0.041900816000008945,
0.041768396000009034,
0.041147123000030206,
0.04147726799999418,
0.041774416999999175,
0.04128924299999426,
0.04183763700001464,
0.04180786999995689,
0.042357677999973475,
0.042116393000014796,
0.041546927000013056,
0.04197065799996835,
0.04191117499999564,
0.04209283900001992,
0.04248126099997762,
0.041893211999990854,
0.04324755799996183,
0.041890156000022216
]
},
"throughput": {
"unit": "samples/s",
"value": 23.819869147336597
},
"energy": {
"unit": "kWh",
"cpu": 1.5997710757785375e-06,
"ram": 6.685607702564766e-08,
"gpu": 0.0,
"total": 1.666627152804185e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 600014.225327752
}
}
}
}