{ "config": { "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.4.1+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": null, "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 4, "cpu_ram_mb": 16766.7712, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_commit": "11fc1578907ddfc66a9a7fb8f19815e001677ad1", "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.34.2", "accelerate_commit": null, "diffusers_version": "0.30.3", "diffusers_commit": null, "optimum_version": "1.22.0", "optimum_commit": null, "timm_version": "1.0.9", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 949.02272, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 4.396634223000035 ], "count": 1, "total": 4.396634223000035, "mean": 4.396634223000035, "p50": 4.396634223000035, "p90": 4.396634223000035, "p95": 4.396634223000035, "p99": 4.396634223000035, "stdev": 0, "stdev_": 0 }, "throughput": null, "energy": { "unit": "kWh", "cpu": 4.8174487783332636e-05, "ram": 2.014552909327014e-06, "gpu": 0, "total": 5.018904069265965e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 960.65536, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.04429098299999623, 0.04387259699996093, 0.0434552730000064, 0.04444765699997788, 0.043792816999996376, 0.043447518999983004, 0.04358106899996983, 0.04414540899995245, 0.04392214000000649, 0.04379939900002228, 0.04342429500002254, 0.04361827899998616, 0.04364403699997865, 0.044020885000009, 0.04348806399997329, 0.043620524000004934, 0.04377876099999867, 0.04160964099997955, 0.03869096599999011, 0.03846992000001137, 0.038648073999979715, 0.04209717199995566, 0.039465981000034844, 0.03886018299999705 ], "count": 24, "total": 1.0221916449997934, "mean": 0.04259131854165806, "p50": 0.043599673999977995, "p90": 0.04410805179996942, "p95": 0.04426914689998966, "p99": 0.0444116219799821, "stdev": 0.002024265408112495, "stdev_": 4.752765299183178 }, "throughput": { "unit": "samples/s", "value": 23.478963184056205 }, "energy": { "unit": "kWh", "cpu": 1.5504305025640902e-06, "ram": 6.483255537522708e-08, "gpu": 0.0, "total": 1.6152630579393173e-06 }, "efficiency": { "unit": "samples/kWh", "value": 619094.2057919387 } } } }