cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json

{
    "config": {
        "name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
        "backend": {
            "name": "pytorch",
            "version": "2.2.2+rocm5.7",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-to-image",
            "library": "diffusers",
            "model_type": "stable-diffusion",
            "model": "CompVis/stable-diffusion-v1-4",
            "processor": "CompVis/stable-diffusion-v1-4",
            "device": "cuda",
            "device_ids": "0",
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": false,
            "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": false,
            "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": true,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 128,
            "cpu_ram_mb": 1082015.236096,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "Advanced Micro Devices, Inc. [AMD/ATI]"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 68702699520,
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "77ca106f4cf33f416814fc4a120313d806701176",
            "transformers_version": "4.42.4",
            "transformers_commit": null,
            "accelerate_version": "0.32.1",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.7",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 4396.040192,
                "max_global_vram": 8173.846528,
                "max_process_vram": 1624707.567616,
                "max_reserved": 5595.201536,
                "max_allocated": 5507.129344
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 105.2172109375,
                "mean": 105.2172109375,
                "stdev": 0.0,
                "p50": 105.2172109375,
                "p90": 105.2172109375,
                "p95": 105.2172109375,
                "p99": 105.2172109375,
                "values": [
                    105.2172109375
                ]
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        },
        "call": {
            "memory": {
                "unit": "MB",
                "max_ram": 1926.291456,
                "max_global_vram": 14904.619008,
                "max_process_vram": 5186832.216064,
                "max_reserved": 9017.7536,
                "max_allocated": 8662.54592
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 1.4469647216796875,
                "mean": 0.48232157389322916,
                "stdev": 0.003471668121806273,
                "p50": 0.4847461242675781,
                "p90": 0.48479448852539064,
                "p95": 0.4848005340576172,
                "p99": 0.48480537048339845,
                "values": [
                    0.4847461242675781,
                    0.48480657958984374,
                    0.4774120178222656
                ]
            },
            "throughput": {
                "unit": "images/s",
                "value": 2.073305558215334
            },
            "energy": null,
            "efficiency": null
        }
    }
}