
    oiM                     z    S SK Jr  S SKrS SKJr  S SKJrJr  S SKJr  S SK	J
r
  SSKJrJrJrJr   " S	 S
\5      rg)    )UnionN)nn)LycorisConfigLycorisTuner)2TRANSFORMERS_MODELS_TO_LOHA_TARGET_MODULES_MAPPING)get_pattern_key   )Conv1dConv2dLinear	LoHaLayerc                   X   \ rS rSr% SrSr\\S'   \r	\
r\R                  R                  \\R                  R                  \\R                  R                   \0r\\\R                  R(                     \\   4   \S'   S\S\S\\\R(                  4   S	\S
\R(                  S\SS4S jrSrg)	LoHaModel   a  
Creates Low-Rank Hadamard Product model from a pretrained model. The method is partially described in
https://huggingface.co/papers/2108.06098 Current implementation heavily borrows from
https://github.com/KohakuBlueleaf/LyCORIS/blob/eb460098187f752a5d66406d3affade6f0a07ece/lycoris/modules/loha.py

Args:
    model (`torch.nn.Module`): The model to which the adapter tuner layers will be attached.
    config ([`LoHaConfig`]): The configuration of the LoHa model.
    adapter_name (`str`): The name of the adapter, defaults to `"default"`.
    low_cpu_mem_usage (`bool`, `optional`, defaults to `False`):
        Create empty adapter weights on meta device. Useful to speed up the loading process.

Returns:
    `torch.nn.Module`: The LoHa model.

Example:
    ```py
    >>> from diffusers import StableDiffusionPipeline
    >>> from peft import LoHaModel, LoHaConfig

    >>> config_te = LoHaConfig(
    ...     r=8,
    ...     lora_alpha=32,
    ...     target_modules=["k_proj", "q_proj", "v_proj", "out_proj", "fc1", "fc2"],
    ...     rank_dropout=0.0,
    ...     module_dropout=0.0,
    ...     init_weights=True,
    ... )
    >>> config_unet = LoHaConfig(
    ...     r=8,
    ...     lora_alpha=32,
    ...     target_modules=[
    ...         "proj_in",
    ...         "proj_out",
    ...         "to_k",
    ...         "to_q",
    ...         "to_v",
    ...         "to_out.0",
    ...         "ff.net.0.proj",
    ...         "ff.net.2",
    ...     ],
    ...     rank_dropout=0.0,
    ...     module_dropout=0.0,
    ...     init_weights=True,
    ...     use_effective_conv2d=True,
    ... )

    >>> model = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
    >>> model.text_encoder = LoHaModel(model.text_encoder, config_te, "default")
    >>> model.unet = LoHaModel(model.unet, config_unet, "default")
    ```

**Attributes**:
    - **model** ([`~torch.nn.Module`]) -- The model to be adapted.
    - **peft_config** ([`LoHaConfig`]): The configuration of the LoHa model.
hada_prefixlayers_mappingconfigadapter_nametargettarget_nameparentcurrent_keyreturnNc                    [        UR                  R                  5       U5      n[        UR                  R                  5       U5      nUR	                  5       n	UR                  R                  XqR                  5      U	S'   UR                  R                  XR                  5      U	S'   [        U[        5      (       a  UR                  " U40 U	D6  gU R                  " XU40 U	D6n
U R                  XTX5        g)zS
A private method to create and replace the target module with the adapter module.
ralphaN)r   rank_patternkeysalpha_patternto_dictgetr   r   
isinstancer   update_layer_create_new_module_replace_module)selfr   r   r   r   r   r   r_key	alpha_keykwargs
new_modules              P/home/james-whalen/.local/lib/python3.13/site-packages/peft/tuners/loha/model.py_create_and_replaceLoHaModel._create_and_replace^   s       3 3 8 8 :KH#F$8$8$=$=$?M	!))--eXX>s ..229llKwfi((7700vXQWXJ  jI     )__name__
__module____qualname____firstlineno____doc__r   str__annotations__r   tuner_layer_clsr   target_module_mappingtorchr   r   r
   r   r   dicttypeModuler   r   r-   __static_attributes__r0   r/   r,   r   r      s    7r FCONDNDehhoo.Y?@ JJ J i*+	J
 J 		J J 
Jr/   r   )typingr   r:   r   peft.tuners.lycoris_utilsr   r   
peft.utilsr   peft.utils.otherr   layerr
   r   r   r   r   r0   r/   r,   <module>rD      s/       A I , 4 4YJ YJr/   