{
    "model": "squeezenet1_1",
    "pretrained": true,

    "input_info": {
      "sample_size": [1, 3, 224, 224]
    },
    "num_classes": 1000,
    "batch_size" : 256,
    "weight_decay": 1e-5,
    "epochs": 5,
    "optimizer": {
        "type": "Adam",
        "base_lr": 0.00001,
        "schedule_type": "multistep",
        "steps": [
            3
        ]
    },
    "compression": {
        "algorithm": "quantization",
        "weights": {
            "per_channel": false
        }
    }
}