IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
c91604d verified
raw
history blame
7.05 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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "144d755b3f25afde6379cd1489a9242ba4ce723e",
"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": 946.393088,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.358720044999984,
"mean": 4.358720044999984,
"stdev": 0.0,
"p50": 4.358720044999984,
"p90": 4.358720044999984,
"p95": 4.358720044999984,
"p99": 4.358720044999984,
"values": [
4.358720044999984
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.779229287777741e-05,
"ram": 1.997480172200874e-06,
"gpu": 0,
"total": 4.978977304997828e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 953.864192,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 29,
"total": 1.0160661439999217,
"mean": 0.035036763586204195,
"stdev": 0.0009400181916429648,
"p50": 0.03533830199995691,
"p90": 0.03585747960003118,
"p95": 0.03591196420001097,
"p99": 0.036425860679994454,
"values": [
0.035359280999955445,
0.03565217200002735,
0.03504538199996432,
0.033342676000017946,
0.03554002099997433,
0.03516950599998836,
0.03533830199995691,
0.03587084200000845,
0.03485741899999084,
0.0338978880000127,
0.0336960779999913,
0.035381693999966046,
0.03503932500001383,
0.03535197599995854,
0.03579717200000232,
0.03461488099998178,
0.03415508799997724,
0.035852055000020755,
0.034731020000037915,
0.03529845500003148,
0.03593937900001265,
0.035402671000042574,
0.0344382100000189,
0.03545143299999154,
0.035854139000036866,
0.03561946899998247,
0.03661504799998738,
0.03496232399999144,
0.03179223799997999
]
},
"throughput": {
"unit": "samples/s",
"value": 28.541448970867624
},
"energy": {
"unit": "kWh",
"cpu": 1.1737378676470323e-06,
"ram": 4.9052856717519594e-08,
"gpu": 0.0,
"total": 1.222790724364552e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 817801.4275661686
}
}
}
}