FuseCustomConfig
class torch.ao.quantization.fx.custom_config.FuseCustomConfig
Custom configuration for "fuse_fx()".
Example usage:
  fuse_custom_config = FuseCustomConfig().set_preserved_attributes(["attr1", "attr2"])

classmethod from_dict(fuse_custom_config_dict)
  Create a "ConvertCustomConfig" from a dictionary with the
  following items:

     "preserved_attributes": a list of attributes that persist
     even if they are not used in "forward"

  This function is primarily for backward compatibility and may be
  removed in the future.

  Return type:
     *FuseCustomConfig*

set_preserved_attributes(attributes)
  Set the names of the attributes that will persist in the graph
  module even if they are not used in the model's "forward"
  method.

  Return type:
     *FuseCustomConfig*

to_dict()
  Convert this "FuseCustomConfig" to a dictionary with the items
  described in "from_dict()".
