openvino_config.json

{
  "compression": [
    {
      "algorithm": "movement_sparsity",
      "ignored_scopes": [
        "{re}.*PatchEmbed.*",
        "{re}.*PatchMerging.*",
        "{re}.*classifier.*",
        "{re}.*LayerNorm.*"
      ],
      "params": {
        "enable_structured_masking": true,
        "importance_regularization_factor": 1.5,
        "warmup_end_epoch": 2,
        "warmup_start_epoch": 1
      },
      "sparse_structure_by_scopes": [
        {
          "mode": "block",
          "sparse_factors": [
            16,
            16
          ],
          "target_scopes": "{re}.*SwinAttention.*"
        },
        {
          "axis": 0,
          "mode": "per_dim",
          "target_scopes": "{re}.*SwinIntermediate.*"
        },
        {
          "axis": 1,
          "mode": "per_dim",
          "target_scopes": "{re}.*SwinOutput.*"
        }
      ]
    },
    {
      "algorithm": "quantization",
      "export_to_onnx_standard_ops": false,
      "ignored_scopes": [
        "{re}.*__add___[0-1]",
        "{re}.*layer_norm_0",
        "{re}.*matmul_1",
        "{re}.*__truediv__*"
      ],
      "initializer": {
        "batchnorm_adaptation": {
          "num_bn_adaptation_samples": 200
        },
        "range": {
          "num_init_samples": 32,
          "params": {
            "max_percentile": 99.99,
            "min_percentile": 0.01
          },
          "type": "percentile"
        }
      },
      "overflow_fix": "enable",
      "preset": "mixed",
      "scope_overrides": {
        "activations": {
          "{re}.*matmul_0": {
            "mode": "symmetric"
          }
        }
      }
    }
  ],
  "input_info": [
    {
      "keyword": "pixel_values",
      "sample_size": [
        16,
        3,
        224,
        224
      ],
      "type": "float"
    }
  ],
  "optimum_version": "1.6.3",
  "save_onnx_model": false,
  "transformers_version": "4.26.0"
}