notebooks/pytorch-quantization-sparsity-aware-training/config.json

{
    "target_device": "CPU",
    "input_info": {
    "sample_size": [
          1,
          3,
          224,
          224
        ]
    },
    "compression": [
    {
      "algorithm": "magnitude_sparsity",
      "sparsity_init": 0,
      "params": {
            "schedule": "multistep",
            "sparsity_freeze_epoch": 5,
            "multistep_steps": [2],
            "multistep_sparsity_levels": [0.3, 0.5]
       },
      "ignored_scopes": [
        "ResNet/NNCFConv2d[conv1]/conv2d_0"
      ]
    },
    {
      "algorithm": "quantization",
      "initializer": {
        "range": {
          "num_init_samples": 10000
        }
      },
      "ignored_scopes": [
      ]
    }
  ]
}