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path: root/inversion/params_latent.json
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{
    "decay_n": 2, 
    "features": true, 
    "clip": 1.0, 
    "stochastic_clipping": false, 
    "clipping": false, 
    "dataset": "inverses/dataset.hdf5", 
    "inv_layer": "latent", 
    "decay_lr": true, 
    "inv_it": 15000, 
    "generator_path": "https://tfhub.dev/deepmind/biggan-128/2", 
    "attention_map_layer": "Generator_2/attention/Softmax:0",
    "pre_trained_latent": false, 
    "lambda_dist": 0.0, 
    "likeli_loss": true, 
    "init_hi": 0.001, 
    "lr": 0.1, 
    "norm_loss": false, 
    "generator_fixed_inputs": {
        "truncation": 1.0
    }, 
    "log_z_norm": true, 
    "feature_extractor_path": "https://tfhub.dev/google/imagenet/inception_v3/feature_vector/1", 
    "mse": true, 
    "custom_grad_relu": false, 
    "random_label": false, 
    "lambda_feat": 1.0, 
    "init_gen_dist": false, 
    "log_activation_layer": "Generator_2/GBlock/Relu:0", 
    "batch_size": 25, 
    "fixed_z": false, 
    "feature_extractor_output": "InceptionV3/Mixed_7a", 
    "init_lo": -0.001, 
    "lambda_mse": 1.0, 
    "lambda_reg": 0.1, 
    "dist_loss": false, 
    "sample_size": 25, 
    "out_dataset": "dataset.encodings.hdf5", 
    "save_progress": true
}