IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
f68d5b9 verified
raw
history blame
6.79 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "ad8304e396fddb59b6d30eac80ef8cc12fbeb7ca",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.1",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 948.10112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.263716245000012,
"mean": 4.263716245000012,
"stdev": 0.0,
"p50": 4.263716245000012,
"p90": 4.263716245000012,
"p95": 4.263716245000012,
"p99": 4.263716245000012,
"values": [
4.263716245000012
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.855877673889021e-05,
"ram": 2.0295083838257155e-06,
"gpu": 0,
"total": 5.058828512271593e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 958.980096,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 23,
"total": 1.0388499049999496,
"mean": 0.04516738717391085,
"stdev": 0.0018212038877252052,
"p50": 0.04578981399998838,
"p90": 0.04657094979999101,
"p95": 0.046594522900034005,
"p99": 0.04670811384002264,
"values": [
0.04586378299995886,
0.044993599000008544,
0.044306440000013936,
0.046596708000038234,
0.0460045359999981,
0.046045103000039944,
0.0446575280000161,
0.043576349999966624,
0.046739536000018234,
0.04562126700000135,
0.04578981399998838,
0.04507277700002987,
0.04647699399998828,
0.045594806999986304,
0.04657485699999597,
0.04587866999997914,
0.045232838000003994,
0.045128221999959806,
0.04655532099997117,
0.046351878999985274,
0.04609895400000141,
0.04029550100000279,
0.03939442099999724
]
},
"throughput": {
"unit": "samples/s",
"value": 22.13986822283159
},
"energy": {
"unit": "kWh",
"cpu": 1.5478382619658173e-06,
"ram": 6.468799618512158e-08,
"gpu": 0.0,
"total": 1.612526258150939e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 620144.9402422047
}
}
}
}