{ "config": { "name": "cpu_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.3.1+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "token-classification", "library": "transformers", "model": "microsoft/deberta-v3-base", "processor": "microsoft/deberta-v3-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", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 4, "cpu_ram_mb": 16757.338112, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.3.1", "optimum_benchmark_commit": "78f186000310f5748c0db3b53c71221ca44cb3f0", "transformers_version": "4.42.3", "transformers_commit": null, "accelerate_version": "0.32.1", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.7", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "forward": { "memory": { "unit": "MB", "max_ram": 1185.15712, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 7, "total": 1.0334946700000387, "mean": 0.14764209571429124, "stdev": 0.0067883240608360255, "p50": 0.15221885500000099, "p90": 0.153855164599986, "p95": 0.15386558179998247, "p99": 0.15387391555997965, "values": [ 0.15221885500000099, 0.15352681000001667, 0.15387599899997895, 0.15384127499999067, 0.13803071300003467, 0.13886726999999155, 0.1431337480000252 ] }, "throughput": { "unit": "samples/s", "value": 6.773136043362215 }, "energy": { "unit": "kWh", "cpu": 5.46897484196557e-06, "ram": 2.2856288280197628e-07, "gpu": 0.0, "total": 5.697537724767547e-06 }, "efficiency": { "unit": "samples/kWh", "value": 175514.41487661214 } } } }