{ "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": "1962c645966bca38419d82300778cd7d5eb23444", "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.30.2", "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": 947.961856, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.2895354519999955, "mean": 4.2895354519999955, "stdev": 0.0, "p50": 4.2895354519999955, "p90": 4.2895354519999955, "p95": 4.2895354519999955, "p99": 4.2895354519999955, "values": [ 4.2895354519999955 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 4.807304891666699e-05, "ram": 2.009207603276797e-06, "gpu": 0, "total": 5.008225651994378e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 959.315968, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 26, "total": 1.0372253199998909, "mean": 0.039893281538457344, "stdev": 0.0010496832089052727, "p50": 0.03971945349996986, "p90": 0.04057134450002309, "p95": 0.04138601950000975, "p99": 0.043609932249978556, "values": [ 0.0401064210000186, 0.039353686000026755, 0.03935212200002525, 0.03977956699998231, 0.0396460050000087, 0.040005092999990666, 0.03952298299998347, 0.03927410399995779, 0.039807800999994924, 0.04165644400001156, 0.03971510499997066, 0.04056794300004185, 0.039723801999969055, 0.03960065000001123, 0.03939229700000624, 0.04016235700004245, 0.040574746000004325, 0.03986594899998863, 0.03984975899999199, 0.03926453499997251, 0.03982545299999174, 0.044261094999967554, 0.038821089999999, 0.03894734799996513, 0.03921673499996814, 0.038932230000000345 ] }, "throughput": { "unit": "samples/s", "value": 25.066877464968492 }, "energy": { "unit": "kWh", "cpu": 1.5235127788461955e-06, "ram": 6.367142855940238e-08, "gpu": 0.0, "total": 1.587184207405598e-06 }, "efficiency": { "unit": "samples/kWh", "value": 630046.5915261306 } } } }