{ "config": { "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.4.0+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": 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": "9a20da1f489402dd778fe1d26b97f74daf179458", "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": 947.449856, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.400132555000027, "mean": 4.400132555000027, "stdev": 0.0, "p50": 4.400132555000027, "p90": 4.400132555000027, "p95": 4.400132555000027, "p99": 4.400132555000027, "values": [ 4.400132555000027 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 4.892844098333361e-05, "ram": 2.0449767412116665e-06, "gpu": 0, "total": 5.097341772454528e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 955.707392, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 31, "total": 1.008698789999812, "mean": 0.03253867064515523, "stdev": 0.0013169071626984745, "p50": 0.03223045100003219, "p90": 0.03411442600003056, "p95": 0.034448195499976464, "p99": 0.03494352449999951, "values": [ 0.03238734499996099, 0.031527385999993385, 0.030914509000012913, 0.03088336100000788, 0.03130662299997766, 0.03082323799998221, 0.03099802499997395, 0.03178015899999309, 0.03107175399998141, 0.031581406999976025, 0.031014476999985163, 0.03170089999997572, 0.03253609400002233, 0.03393330800003014, 0.03374378399996658, 0.0346201419999943, 0.03401268599998275, 0.03411442600003056, 0.03394846599996981, 0.03410548900001231, 0.03378962799996543, 0.035082117000001745, 0.03223045100003219, 0.032065161999980774, 0.03230389899999864, 0.031024816000012834, 0.03297036600002912, 0.03208871599997565, 0.03406985300000542, 0.034276248999958625, 0.031793954000022495 ] }, "throughput": { "unit": "samples/s", "value": 30.732663018269086 }, "energy": { "unit": "kWh", "cpu": 1.2137917944444528e-06, "ram": 5.0726665753114216e-08, "gpu": 0.0, "total": 1.264518460197567e-06 }, "efficiency": { "unit": "samples/kWh", "value": 790814.8686447496 } } } }