{ "config": { "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.4.0+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "fill-mask", "library": "transformers", "model_type": "bert", "model": "google-bert/bert-base-uncased", "processor": "google-bert/bert-base-uncased", "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": 16757.338112, "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": "b437841d8ac0f8671c66ca6a8aa4cc123563284f", "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": 970.24, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.387582371999997, "mean": 4.387582371999997, "stdev": 0.0, "p50": 4.387582371999997, "p90": 4.387582371999997, "p95": 4.387582371999997, "p99": 4.387582371999997, "values": [ 4.387582371999997 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 5.404258595555626e-05, "ram": 2.258742838064431e-06, "gpu": 0, "total": 5.6301328793620695e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 883.798016, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 26, "total": 1.0082757899999706, "mean": 0.038779838076921945, "stdev": 0.0008301811539256552, "p50": 0.03863479049999796, "p90": 0.03930182849998687, "p95": 0.039374060249983245, "p99": 0.04168432124996002, "values": [ 0.03903239199996733, 0.038452269999993405, 0.03891940100004376, 0.038133936999997786, 0.03842572100001007, 0.03854528400000845, 0.038868796999963706, 0.03833212699998967, 0.039264123000009477, 0.03881113900001765, 0.03873641900003122, 0.03917454600002657, 0.03938556899998957, 0.03933953399996426, 0.03824788899999021, 0.03880210299996634, 0.03852526600002193, 0.03872429699998747, 0.038806399999998575, 0.038222141999995074, 0.03831951300003311, 0.038274268000009215, 0.03793598900000461, 0.038176346000000194, 0.04245057199995017, 0.03836974600000076 ] }, "throughput": { "unit": "samples/s", "value": 25.786595550410627 }, "energy": { "unit": "kWh", "cpu": 1.4637159559671033e-06, "ram": 6.117063816185095e-08, "gpu": 0.0, "total": 1.5248865941289543e-06 }, "efficiency": { "unit": "samples/kWh", "value": 655786.4721548163 } } } }