{ "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": "12475cb656b1f369db810190724d8affe3522bc1", "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": 944.693248, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.226883360999977, "mean": 4.226883360999977, "stdev": 0.0, "p50": 4.226883360999977, "p90": 4.226883360999977, "p95": 4.226883360999977, "p99": 4.226883360999977, "values": [ 4.226883360999977 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 4.830678580000015e-05, "ram": 2.0189798547748937e-06, "gpu": 0, "total": 5.0325765654775045e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 955.441152, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 26, "total": 1.0188973720001968, "mean": 0.03918836046154603, "stdev": 0.0006850609918680935, "p50": 0.03908284999999978, "p90": 0.03942879150000067, "p95": 0.03947192200001837, "p99": 0.04162128550001398, "values": [ 0.03936906000001272, 0.04233314800001153, 0.038901256000031026, 0.03893623099997967, 0.039062026999999944, 0.039392554000016844, 0.03910814199997503, 0.038934568000001946, 0.03902169100001629, 0.03913722600003666, 0.039066053999988526, 0.03943059400000948, 0.039099646000011035, 0.03903500600000598, 0.03921323800000209, 0.03933714000004329, 0.03948569800002133, 0.03919689800000015, 0.03920637499999202, 0.038775299999997515, 0.03942698899999186, 0.03900247400002854, 0.03873442299999397, 0.038828339000019696, 0.03851878000000397, 0.038344515000005686 ] }, "throughput": { "unit": "samples/s", "value": 25.517780999826723 }, "energy": { "unit": "kWh", "cpu": 1.4935567298353761e-06, "ram": 6.241954239276341e-08, "gpu": 0.0, "total": 1.5559762722281393e-06 }, "efficiency": { "unit": "samples/kWh", "value": 642683.322264299 } } } }