IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
1d9a740 verified
raw
history blame
6.97 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+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": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "0876a1b3ff6de017d3dc76fabb58b5a1d2aecb9e",
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 948.187136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.2456151650000038
],
"count": 1,
"total": 1.2456151650000038,
"mean": 1.2456151650000038,
"p50": 1.2456151650000038,
"p90": 1.2456151650000038,
"p95": 1.2456151650000038,
"p99": 1.2456151650000038,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 956.444672,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.03691444999998339,
0.0361043890000019,
0.03608699699998397,
0.03633071100000507,
0.036674973000003774,
0.03668063399999255,
0.03602166499996429,
0.03643431400001873,
0.036521187000005284,
0.03693226300003971,
0.037008816000025035,
0.03649861500002771,
0.035970149000036145,
0.036517369000023336,
0.03602351800003589,
0.036992574999999306,
0.03747086800001398,
0.03647687400001587,
0.036697064999998474,
0.03660689599996658,
0.03722009000000526,
0.03623799899997948,
0.033444796999958726,
0.031526211000027615,
0.03136821499998632,
0.03175233100000696,
0.03201679400001467,
0.03169876999999133,
0.03277679200004968
],
"count": 29,
"total": 1.029006327000161,
"mean": 0.035482976793109,
"p50": 0.03643431400001873,
"p90": 0.036995823200004455,
"p95": 0.03713558040001317,
"p99": 0.03740065016001154,
"stdev": 0.0019789166681531715,
"stdev_": 5.577087513518563
},
"throughput": {
"unit": "samples/s",
"value": 28.182528366509704
},
"energy": {
"unit": "kWh",
"cpu": 1.2865396043010537e-06,
"ram": 5.3796110039456855e-08,
"gpu": 0.0,
"total": 1.3403357143405105e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 746081.7385531155
}
}
}
}