{ "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 } } } }