class_docstr: Internal class that manages partitioning. The ``FakePalettize`` class base classes the ``_Partitioner`` class
  and all the partitioning logic is controlled by this class.
code: def _load_from_state_dict_(
      self,
      state_dict,
      prefix,
      local_metadata,
      strict,
      missing_keys,
      unexpected_keys,
      error_msgs,
  ):
      self.cluster_permute = state_dict.pop(prefix + "permute")
      self.partitions = state_dict.pop(prefix + "partitions")
  
file_path: coremltools/coremltools/optimize/torch/palettization/_partitioner.py
imports: from typing import Tuple
  import torch
  from ._efficient_kmeans import _EfficientKMeans
label_desc: Use image node_id 7 for calling the _Partitioner obj's underlying member method code with example usage: obj._load_from_state_dict_(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs) without return types