IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
5fe1095 verified
raw
history blame
5.92 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"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": "0.2.0",
"optimum_benchmark_commit": "2db7e171d23768cdeb341987283e17e0b2db9bd9",
"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": 936.472576,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 29,
"total": 1.0298660819999554,
"mean": 0.03551262351723984,
"stdev": 0.0007184867090388221,
"p50": 0.035633279000023776,
"p90": 0.03630524660003402,
"p95": 0.036554439200006075,
"p99": 0.036978298159999666,
"values": [
0.03578256700001248,
0.0350099760000262,
0.03513210500000241,
0.03594516099997236,
0.03369363100000555,
0.03574113999997053,
0.03572189400000525,
0.03608752600001708,
0.03501352399996449,
0.03653633300001502,
0.03517028599998184,
0.03464579799998546,
0.03583062699999573,
0.035376369999994495,
0.0358358580000413,
0.03551335599996719,
0.03538277199999129,
0.035430491999989044,
0.03498429799998348,
0.03427149899999904,
0.035711404999972274,
0.036038675000042986,
0.035633279000023776,
0.036247475000038776,
0.03467128400001229,
0.03656651000000011,
0.037138437999999496,
0.03607525399996803,
0.034678548999977465
]
},
"throughput": {
"unit": "samples/s",
"value": 28.159000968051355
},
"energy": {
"unit": "kWh",
"cpu": 1.1847706354828397e-06,
"ram": 4.951349857482124e-08,
"gpu": 0.0,
"total": 1.2342841340576607e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 810186.2224482617
}
}
}
}