olive-recipes/sd-legacy-stable-diffusion-v1-5/VitisAI/config_safety_checker.json at main · microsoft/olive-recipes · GitHub

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{
    "input_model": {
        "type": "PyTorchModel",
        "model_path": "sd-legacy/stable-diffusion-v1-5",
        "model_loader": "safety_checker_load",
        "script_dir": ".",
        "model_script": "user_script.py",
        "io_config": {
            "input_names": [ "clip_input", "images" ],
            "output_names": [ "out_images", "has_nsfw_concepts" ],
            "dynamic_axes": {
                "clip_input": { "0": "batch", "1": "channels", "2": "height", "3": "width" },
                "images": { "0": "batch", "1": "height", "2": "width", "3": "channels" }
            }
        },
        "dummy_inputs_func": "safety_checker_conversion_inputs"
    },
    "passes": {
        "convert": { "type": "OnnxConversion", "target_opset": 14 },
        "optimize": {
            "type": "OrtTransformersOptimization",
            "model_type": "unet",
            "opt_level": 0,
            "float16": true,
            "use_gpu": true,
            "keep_io_types": false,
            "optimization_options": {
                "enable_gelu": true,
                "enable_layer_norm": true,
                "enable_attention": true,
                "use_multi_head_attention": true,
                "enable_skip_layer_norm": false,
                "enable_embed_layer_norm": true,
                "enable_bias_skip_layer_norm": false,
                "enable_bias_gelu": true,
                "enable_gelu_approximation": false,
                "enable_qordered_matmul": false,
                "enable_shape_inference": true,
                "enable_gemm_fast_gelu": false,
                "enable_nhwc_conv": false,
                "enable_group_norm": true,
                "enable_bias_splitgelu": false,
                "enable_packed_qkv": true,
                "enable_packed_kv": true,
                "enable_bias_add": false,
                "group_norm_channels_last": false
            },
            "force_fp32_ops": [ "RandomNormalLike" ],
            "force_fp16_inputs": { "GroupNorm": [ 0, 1, 2 ] }
        }
    },
    "log_severity_level": 0,
    "cache_dir": "vai_cache",
    "output_dir": "footprints/safety_checker"
}