{
    "config": {
        "name": "cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch",
        "backend": {
            "name": "pytorch",
            "version": "2.8.0",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "model": "hf-internal-testing/tiny-stable-diffusion-torch",
            "processor": "hf-internal-testing/tiny-stable-diffusion-torch",
            "task": "text-to-image",
            "library": "diffusers",
            "model_type": "stable-diffusion",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": false,
            "tp_plan": null,
            "device_map": null,
            "torch_dtype": null,
            "eval_mode": true,
            "to_bettertransformer": false,
            "low_cpu_mem_usage": null,
            "attn_implementation": null,
            "cache_implementation": null,
            "allow_tf32": false,
            "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": 2,
                "sequence_length": 16,
                "num_choices": 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": 16772.579328,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.11.0-1018-azure-x86_64-with-glibc2.39",
            "processor": "x86_64",
            "python_version": "3.10.18",
            "optimum_benchmark_version": "0.7.0.dev0",
            "optimum_benchmark_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
            "transformers_version": "4.55.2",
            "transformers_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
            "accelerate_version": "1.10.0",
            "accelerate_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
            "diffusers_version": "0.35.0",
            "diffusers_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.19",
            "timm_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
            "peft_version": "0.17.0",
            "peft_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7"
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "load_model": {
            "memory": {
                "unit": "MB",
                "max_ram": 947.67104,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.3779626010000072
                ],
                "count": 1,
                "total": 1.3779626010000072,
                "mean": 1.3779626010000072,
                "p50": 1.3779626010000072,
                "p90": 1.3779626010000072,
                "p95": 1.3779626010000072,
                "p99": 1.3779626010000072,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 0.00010482625851809307,
                "ram": 1.7980435958333314e-05,
                "gpu": 0.0,
                "total": 0.0001228066944764264
            },
            "efficiency": null
        },
        "first_call": {
            "memory": {
                "unit": "MB",
                "max_ram": 1034.125312,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    2.42187941200001
                ],
                "count": 1,
                "total": 2.42187941200001,
                "mean": 2.42187941200001,
                "p50": 2.42187941200001,
                "p90": 2.42187941200001,
                "p95": 2.42187941200001,
                "p99": 2.42187941200001,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 0.00018276364774772738,
                "ram": 2.0946867613888918e-05,
                "gpu": 0.0,
                "total": 0.0002037105153616163
            },
            "efficiency": null
        },
        "call": {
            "memory": {
                "unit": "MB",
                "max_ram": 1055.096832,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.8846347679999838
                ],
                "count": 1,
                "total": 1.8846347679999838,
                "mean": 1.8846347679999838,
                "p50": 1.8846347679999838,
                "p90": 1.8846347679999838,
                "p95": 1.8846347679999838,
                "p99": 1.8846347679999838,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": {
                "unit": "images/s",
                "value": 1.0612135751493348
            },
            "energy": {
                "unit": "kWh",
                "cpu": 5.433457105250185e-05,
                "ram": 6.644349552777761e-06,
                "gpu": 0.0,
                "total": 6.0978920605279615e-05
            },
            "efficiency": {
                "unit": "images/kWh",
                "value": 32798.21912470583
            }
        },
        "per_step": {
            "memory": null,
            "latency": {
                "unit": "s",
                "values": [
                    0.5605858810000086,
                    0.5586706750000019
                ],
                "count": 2,
                "total": 1.1192565560000105,
                "mean": 0.5596282780000053,
                "p50": 0.5596282780000053,
                "p90": 0.5603943604000079,
                "p95": 0.5604901207000083,
                "p99": 0.5605667289400086,
                "stdev": 0.0009576030000033597,
                "stdev_": 0.1711141194339988
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        }
    }
}