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� �Ze dd� �Zejjejjd�dd�Zeejejjejf ejd�dd�Zde d�dd�Z� ZS ) �VaeImageProcessora� 7 Image Processor for VAE8 9 Args:10 do_resize (`bool`, *optional*, defaults to `True`):11 Whether to downscale the image's (height, width) dimensions to multiples of `vae_scale_factor`.12 vae_scale_factor (`int`, *optional*, defaults to `8`):13 VAE scale factor. If `do_resize` is True, the image will be automatically resized to multiples of this14 factor.15 resample (`str`, *optional*, defaults to `lanczos`):16 Resampling filter to use when resizing the image.17 do_normalize (`bool`, *optional*, defaults to `True`):18 Whether to normalize the image to [-1,1]19 T� �lanczos)� do_resize�vae_scale_factor�resample� do_normalizec s t � �� d S �N)�super�__init__)�selfr r
r r �� __class__� �N/home/deep/Projects/audio_diffusion/diffusers/src/diffusers/image_processor.pyr - s zVaeImageProcessor.__init__c C sT | j dkr| d } | d �� �d�} | jd dkrBdd� | D �}nd d� | D �}|S )20zL21 Convert a numpy image or a batch of images to a PIL image.22 � )N.�� �uint8�����r c S s g | ]}t j|�� d d��qS )�L)�mode)r � fromarray�squeeze��.0�imager r r �23<listcomp>A � z2VaeImageProcessor.numpy_to_pil.<locals>.<listcomp>c S s g | ]}t �|��qS r )r r r r r r r# C r$ )�ndim�round�astype�shape)�images�24pil_imagesr r r � numpy_to_pil7 s 25z VaeImageProcessor.numpy_to_pilc C s, | j dkr| d } t�| �dddd��} | S )�;26 Convert a numpy image to a pytorch tensor27 r ).Nr r � )r% �torch�28from_numpy� transpose�r) r r r � numpy_to_ptG s 29z VaeImageProcessor.numpy_to_ptc C s | � � �dddd��� �� } | S )r, r r- r r )�cpu�permute�float�numpyr1 r r r � pt_to_numpyR s z VaeImageProcessor.pt_to_numpyc C s d| d S )z430 Normalize an image array to [-1,1]31 g @g �?r r1 r r r � normalizeZ s zVaeImageProcessor.normalize)r) �returnc s@ |j \}}� fdd�||fD �\}}|j||ft� j d�}|S )z�32 Resize a PIL image. Both height and width will be downscaled to the next integer multiple of `vae_scale_factor`33 c 3 s | ]}||� j V qd S r )r
)r! �x�r r r � <genexpr>f r$ z+VaeImageProcessor.resize.<locals>.<genexpr>)r )�size�resizer r )r r) �w�hr r; r r> a s 34zVaeImageProcessor.resize)r" r9 c s8 t jjtjtjf�t|��r$|g}nDt|t�rDt�fdd�|D ��sht ddd� |D �� dd�35��� ���t|d t jj�r�� j r�� fd d�|D �}d36d� |D �}tj |dd �}� �
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� j� d|� d|� d���n�t|d tj��r�|d jd k�r�tj|dd �n tj |dd �}|j\}}}}� j �r�|� j dk�s�|� j dk�r�t d� j� d|� d|� d���� j}|�� dk �r$t�d|�� � d|�� � d�t� d}|�r4� �|�}|S )zo37 Preprocess the image input, accepted formats are PIL images, numpy arrays or pytorch tensors"38 c 3 s | ]}t |� �V qd S r )�39isinstance�r! �i)�supported_formatsr r r< t r$ z/VaeImageProcessor.preprocess.<locals>.<genexpr>z Input is in incorrect format: c S s g | ] }t |��qS r )�typerB r r r r# v r$ z0VaeImageProcessor.preprocess.<locals>.<listcomp>z . Currently, we only support z, r c s g | ]}� � |��qS r )r> rB r; r r r# { r$ c S s" g | ]}t �|��t j�d �qS )g �o@)�np�arrayr' �float32rB r r r r# | r$ )�axis� zeCurrently we only support resizing for PIL image - please resize your numpy array to be divisible by zcurrently the sizes are z and zQ. You can also pass a PIL image instead to use resize option in VAEImageProcessorzhCurrently we only support resizing for PIL image - please resize your pytorch tensor to be divisible by z�Passing `image` as torch tensor with value range in [-1,1] is deprecated. The expected value range for image tensor is [0,1] when passing as pytorch tensor or numpy Array. You passed `image` with value range [�,�]F)�PILr rF �ndarrayr. �TensorrA �list�all�40ValueError�joinr �stackr2 r% � concatenater( r
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FutureWarningr8 )r r" �_�height�widthr r )r rD r �41preprocessj sd 42 �*43(44���,(45������46z VaeImageProcessor.preprocess�pil)� output_typec C sT t |tj�r|dkr|S | �|�}|dkr.|S |dkr@| �|�S td|� d���d S )N�ptrF r` zUnsupported output_type �.)rA r. rO r7 r+ rR )r r" ra r r r � postprocess� s 4748z VaeImageProcessor.postprocess)Tr49 r T)r` ) �__name__�50__module__� __qualname__�__doc__r � config_namer �bool�int�strr � staticmethodr+ r2 r7 r8 rM r r> r r. � FloatTensorrF rN rO r_ rd �
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