openvino_config.json

{
  "compression": {
    "algorithm": "quantization",
    "export_to_onnx_standard_ops": false,
    "ignored_scopes": [
      "{re}.*Embeddings.*",
      "{re}.*__add___[0-1]",
      "{re}.*layer_norm_0",
      "{re}.*matmul_1",
      "{re}.*__truediv__*"
    ],
    "initializer": {
      "batchnorm_adaptation": {
        "num_bn_adaptation_samples": 0
      },
      "range": {
        "num_init_samples": 300,
        "type": "mean_min_max"
      }
    },
    "overflow_fix": "disable",
    "preset": "mixed",
    "scope_overrides": {
      "activations": {
        "{re}.*matmul_0": {
          "mode": "symmetric"
        }
      }
    }
  },
  "input_info": [
    {
      "keyword": "input_ids",
      "sample_size": [
        64,
        128
      ],
      "type": "long"
    },
    {
      "keyword": "token_type_ids",
      "sample_size": [
        64,
        128
      ],
      "type": "long"
    },
    {
      "keyword": "attention_mask",
      "sample_size": [
        64,
        128
      ],
      "type": "long"
    }
  ],
  "log_dir": "/tmp/bert-base-uncased-sst2-unstructured-sparsity-80-int8",
  "optimum_version": "1.6.3",
  "save_onnx_model": false,
  "transformers_version": "4.26.0"
}