IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
139136c verified
raw
history blame
7.14 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": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "3d7258bc53700ac83eb355d4dbbeac8dec4eb496",
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"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": 947.34336,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.5590090590000045,
"mean": 4.5590090590000045,
"stdev": 0.0,
"p50": 4.5590090590000045,
"p90": 4.5590090590000045,
"p95": 4.5590090590000045,
"p99": 4.5590090590000045,
"values": [
4.5590090590000045
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.806357224782308e-05,
"ram": 2.008807539838244e-06,
"gpu": 0,
"total": 5.0072379787661326e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 955.469824,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 31,
"total": 1.0121396539999523,
"mean": 0.032649666258062975,
"stdev": 0.0009763798669651927,
"p50": 0.03232805999999755,
"p90": 0.03345789400003696,
"p95": 0.03486440500000754,
"p99": 0.03588533619999908,
"values": [
0.03243007199995418,
0.03247454399996741,
0.031943130999991354,
0.03196284700004526,
0.03205763500000103,
0.032951215999958094,
0.035908608999989156,
0.033362025000030826,
0.032896133000008376,
0.03389777699999286,
0.032471238000027824,
0.032057264000002306,
0.032120972999962305,
0.03238880399999289,
0.03274555100000498,
0.03227278800000022,
0.031936056000006374,
0.0321675700000128,
0.032550546999971175,
0.03211270799999966,
0.031718420000004244,
0.03211080400001265,
0.033010538000041834,
0.03232805999999755,
0.03210006399996246,
0.03225438999999142,
0.03212469099997861,
0.03195521300000337,
0.03254105899998194,
0.03583103300002222,
0.03345789400003696
]
},
"throughput": {
"unit": "samples/s",
"value": 30.628184438272648
},
"energy": {
"unit": "kWh",
"cpu": 1.2383458101087146e-06,
"ram": 5.175174864167076e-08,
"gpu": 0.0,
"total": 1.2900975587503854e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 775135.1773493938
}
}
}
}