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cuda
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{
    "name": "cuda_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": "cuda",
        "device_ids": "0",
        "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": true,
        "device_isolation_action": "error",
        "numactl": false,
        "numactl_kwargs": {},
        "start_method": "spawn"
    },
    "environment": {
        "cpu": " AMD EPYC 7R32",
        "cpu_count": 16,
        "cpu_ram_mb": 66697.248768,
        "system": "Linux",
        "machine": "x86_64",
        "platform": "Linux-5.10.240-238.966.amzn2.x86_64-x86_64-with-glibc2.35",
        "processor": "x86_64",
        "python_version": "3.10.18",
        "gpu": [
            "NVIDIA A10G"
        ],
        "gpu_count": 1,
        "gpu_vram_mb": 24146608128,
        "optimum_benchmark_version": "0.7.0.dev0",
        "optimum_benchmark_commit": "f22b1bee8ed3f82f26b7e707031dd0063f1eaf25",
        "transformers_version": "4.55.2",
        "transformers_commit": "f22b1bee8ed3f82f26b7e707031dd0063f1eaf25",
        "accelerate_version": "1.10.0",
        "accelerate_commit": "f22b1bee8ed3f82f26b7e707031dd0063f1eaf25",
        "diffusers_version": "0.35.0",
        "diffusers_commit": "f22b1bee8ed3f82f26b7e707031dd0063f1eaf25",
        "optimum_version": null,
        "optimum_commit": null,
        "timm_version": "1.0.19",
        "timm_commit": "f22b1bee8ed3f82f26b7e707031dd0063f1eaf25",
        "peft_version": "0.17.0",
        "peft_commit": "f22b1bee8ed3f82f26b7e707031dd0063f1eaf25"
    },
    "print_report": true,
    "log_report": true
}