a
    h<                     @   s`   d Z ddlZddlmZ ddlmZ ddlmZ ddlm	Z	 e
eZG d	d
 d
eZd
gZdS )zVitMatte model configuration    N   )PretrainedConfig)logging) verify_backbone_config_arguments   )CONFIG_MAPPINGc                       sn   e Zd ZdZdZddddddddg dg d	f
eeeeee ee d
 fddZ	e
dd Zdd Z  ZS )VitMatteConfiga  
    This is the configuration class to store the configuration of [`VitMatteForImageMatting`]. It is used to
    instantiate a ViTMatte model according to the specified arguments, defining the model architecture. Instantiating a
    configuration with the defaults will yield a similar configuration to that of the ViTMatte
    [hustvl/vitmatte-small-composition-1k](https://huggingface.co/hustvl/vitmatte-small-composition-1k) architecture.

    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
    documentation from [`PretrainedConfig`] for more information.

    Args:
        backbone_config (`PretrainedConfig` or `dict`, *optional*, defaults to `VitDetConfig()`):
            The configuration of the backbone model.
        backbone (`str`, *optional*):
            Name of backbone to use when `backbone_config` is `None`. If `use_pretrained_backbone` is `True`, this
            will load the corresponding pretrained weights from the timm or transformers library. If `use_pretrained_backbone`
            is `False`, this loads the backbone's config and uses that to initialize the backbone with random weights.
        use_pretrained_backbone (`bool`, *optional*, defaults to `False`):
            Whether to use pretrained weights for the backbone.
        use_timm_backbone (`bool`, *optional*, defaults to `False`):
            Whether to load `backbone` from the timm library. If `False`, the backbone is loaded from the transformers
            library.
        backbone_kwargs (`dict`, *optional*):
            Keyword arguments to be passed to AutoBackbone when loading from a checkpoint
            e.g. `{'out_indices': (0, 1, 2, 3)}`. Cannot be specified if `backbone_config` is set.
        hidden_size (`int`, *optional*, defaults to 384):
            The number of input channels of the decoder.
        batch_norm_eps (`float`, *optional*, defaults to 1e-05):
            The epsilon used by the batch norm layers.
        initializer_range (`float`, *optional*, defaults to 0.02):
            The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
        convstream_hidden_sizes (`list[int]`, *optional*, defaults to `[48, 96, 192]`):
            The output channels of the ConvStream module.
        fusion_hidden_sizes (`list[int]`, *optional*, defaults to `[256, 128, 64, 32]`):
            The output channels of the Fusion blocks.

    Example:

    ```python
    >>> from transformers import VitMatteConfig, VitMatteForImageMatting

    >>> # Initializing a ViTMatte hustvl/vitmatte-small-composition-1k style configuration
    >>> configuration = VitMatteConfig()

    >>> # Initializing a model (with random weights) from the hustvl/vitmatte-small-composition-1k style configuration
    >>> model = VitMatteForImageMatting(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```ZvitmatteNFi  gh㈵>g{Gz?)0   `      )      @       )backbone_confighidden_sizebatch_norm_epsinitializer_rangeconvstream_hidden_sizesfusion_hidden_sizesc                    s   t  jf i | |d u r>|d u r>td td dgd}n&t|trd|d}t| }||}t	|||||d || _
|| _|| _|| _|| _|| _|| _|| _|	| _|
| _d S )NzX`backbone_config` is `None`. Initializing the config with the default `VitDet` backbone.ZvitdetZstage4)Zout_features
model_type)use_timm_backboneuse_pretrained_backbonebackboner   backbone_kwargs)super__init__loggerinfor   
isinstancedictget	from_dictr   r   r   r   r   r   r   r   r   r   r   )selfr   r   r   r   r   r   r   r   r   r   kwargsZbackbone_model_typeZconfig_class	__class__ o/var/www/html/assistant/venv/lib/python3.9/site-packages/transformers/models/vitmatte/configuration_vitmatte.pyr   Q   s2    



zVitMatteConfig.__init__c                 C   s"   t | dd d urdt| jiS i S )Nr   )getattrtyper   )r#   r'   r'   r(   sub_configs|   s    zVitMatteConfig.sub_configsc                 C   s*   t | j}| j |d< | jj|d< |S )z
        Serializes this instance to a Python dictionary. Override the default [`~PretrainedConfig.to_dict`]. Returns:
            `dict[str, any]`: Dictionary of all the attributes that make up this configuration instance,
        r   r   )copydeepcopy__dict__r   to_dictr&   r   )r#   outputr'   r'   r(   r/      s    zVitMatteConfig.to_dict)__name__
__module____qualname____doc__r   r   intfloatlistr   propertyr+   r/   __classcell__r'   r'   r%   r(   r      s.   2+
r   )r4   r,   Zconfiguration_utilsr   utilsr   Zutils.backbone_utilsr   Zauto.configuration_autor   Z
get_loggerr1   r   r   __all__r'   r'   r'   r(   <module>   s   
s