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"
          }
        }
      }
    },
    {
      "algorithm": "magnitude_sparsity",
      "ignored_scopes": [
        "{re}.*NNCFEmbedding.*",
        "{re}.*LayerNorm.*",
        "{re}.*pooler.*",
        "{re}.*classifier.*"
      ],
      "params": {
        "power": 3,
        "schedule": "polynomial",
        "sparsity_freeze_epoch": 26,
        "sparsity_target": 0.8,
        "sparsity_target_epoch": 25,
        "steps_per_epoch": 2105,
        "update_per_optimizer_step": true
      },
      "sparsity_init": 0.0
    }
  ],
  "input_info": [
    {
      "keyword": "input_ids",
      "sample_size": [
        32,
        128
      ],
      "type": "long"
    },
    {
      "keyword": "token_type_ids",
      "sample_size": [
        32,
        128
      ],
      "type": "long"
    },
    {
      "keyword": "attention_mask",
      "sample_size": [
        32,
        128
      ],
      "type": "long"
    }
  ],
  "log_dir": "/nvme2/yujiepan/workspace/jpqd-test/LOGS/optimum-magnitude/0209_1e11_QMaP80_LR5e-05_COS8,6,4,4,4,4_EPO30_PerStp_INIT0.0_END25_BS32_LT0.95TMP2_SEED1_dgx1",
  "optimum_version": "1.6.3",
  "save_onnx_model": false,
  "transformers_version": "4.26.0"
}