IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
7a991ff verified
raw
history blame
7.01 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.338112,
"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": "ab5cca637c4d04c05b877ae9d59a826198357fda",
"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": 944.631808,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.346545167000045,
"mean": 4.346545167000045,
"stdev": 0.0,
"p50": 4.346545167000045,
"p90": 4.346545167000045,
"p95": 4.346545167000045,
"p99": 4.346545167000045,
"values": [
4.346545167000045
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.7884660444443246e-05,
"ram": 2.001340109525526e-06,
"gpu": 0,
"total": 4.988600055396877e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 952.233984,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 28,
"total": 1.0083875720001174,
"mean": 0.03601384185714705,
"stdev": 0.0011380149927275353,
"p50": 0.03609430799997426,
"p90": 0.0369652002000123,
"p95": 0.03743329535002147,
"p99": 0.039429705109975545,
"values": [
0.03575179000000617,
0.03583277000001317,
0.03516103800001247,
0.03449488499995823,
0.0363175340000339,
0.036582458999987466,
0.036444001000006665,
0.036008988999981284,
0.034967176000009204,
0.0350404229999981,
0.04011399499995605,
0.036290043000008154,
0.036261179999996784,
0.035946252000030654,
0.03577757800002246,
0.03526466099998515,
0.0339512719999675,
0.03757958800002825,
0.03572426800002404,
0.0361864300000434,
0.03617962699996724,
0.036198823999995966,
0.03517816000004359,
0.034303759000010814,
0.03655181200002744,
0.037161609000008866,
0.03688102500001378,
0.036236423999980616
]
},
"throughput": {
"unit": "samples/s",
"value": 27.76710143745875
},
"energy": {
"unit": "kWh",
"cpu": 1.2015789934343538e-06,
"ram": 5.0216386641254904e-08,
"gpu": 0.0,
"total": 1.2517953800756087e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 798852.6047600525
}
}
}
}