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().

Return type:

Dict[str, Any]