IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
397f65c verified
raw
history blame
6.62 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+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": 2,
"sequence_length": 16,
"num_choices": 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": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "e4ddf2d59059047da7236658deb605d054b358c8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load_model": {
"memory": {
"unit": "MB",
"max_ram": 969.224192,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.3737103809999667
],
"count": 1,
"total": 1.3737103809999667,
"mean": 1.3737103809999667,
"p50": 1.3737103809999667,
"p90": 1.3737103809999667,
"p95": 1.3737103809999667,
"p99": 1.3737103809999667,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.000180659771405555,
"ram": 7.551613518043059e-06,
"gpu": 0,
"total": 0.00018821138492359805
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 984.158208,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.07046554099997593,
0.06967103300002009,
0.07013128900001675,
0.06911799199997404,
0.06996867599997358,
0.07242655300001388,
0.06954217200001267,
0.06885684600001696,
0.07017350700004954,
0.06831644099997902,
0.06981977899999947,
0.06888208300000542,
0.07099839399995744,
0.07038044299997637,
0.06614296300000433
],
"count": 15,
"total": 1.0448937119999755,
"mean": 0.06965958079999837,
"p50": 0.06981977899999947,
"p90": 0.07078525279996484,
"p95": 0.07142684169997437,
"p99": 0.07222661074000598,
"stdev": 0.0013404563361179276,
"stdev_": 1.9242957260488696
},
"throughput": {
"unit": "samples/s",
"value": 28.711054201463796
},
"energy": {
"unit": "kWh",
"cpu": 2.6993300340741285e-06,
"ram": 1.1280353919947249e-07,
"gpu": 0.0,
"total": 2.8121335732736012e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 711203.7703357748
}
}
}
}