o
    Ni?                     @   s   d Z ddlmZ ddlmZ ddlmZ ddlZddlm  mZ	 ddl
mZ dZdZG dd	 d	ejjZG d
d dejjZdS )zCeleba-HQ dataset.    )absolute_import)division)print_functionNax  @article{DBLP:journals/corr/abs-1710-10196,
  author    = {Tero Karras and
               Timo Aila and
               Samuli Laine and
               Jaakko Lehtinen},
  title     = {Progressive Growing of GANs for Improved Quality, Stability, and Variation},
  journal   = {CoRR},
  volume    = {abs/1710.10196},
  year      = {2017},
  url       = {http://arxiv.org/abs/1710.10196},
  archivePrefix = {arXiv},
  eprint    = {1710.10196},
  timestamp = {Mon, 13 Aug 2018 16:46:42 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1710-10196},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
a   High-quality version of the CELEBA
dataset, consisting of 30000 images in 1024 x 1024 resolution.

Note: CelebAHQ dataset may contain potential bias. The fairness indicators
[example](https://github.com/tensorflow/fairness-indicators/blob/master/fairness_indicators/documentation/examples/Fairness_Indicators_TFCO_CelebA_Case_Study.ipynb)
goes into detail about several considerations to keep in mind while using the
CelebAHQ dataset.

WARNING: This dataset currently requires you to prepare images on your own.
c                       s(   e Zd ZdZejj fddZ  ZS )CelebaHQConfigzBuilderConfig for CelebaHQ.c                    sP   t jdd}tt| jdd| d||f |d| || _d||f | _dS )	zBuilderConfig for SQUAD.

    Args:
      resolution: Resolution of the image. Values supported: powers of 2 up to
        1024.
      **kwargs: keyword arguments forwarded to super.
    z2.0.0z6New split API (https://tensorflow.org/datasets/splits)z%dz%CelebaHQ images in %d x %d resolution)namedescriptionversionzdata%dx%d.tarN )tfdscoreVersionsuperr   __init__
resolution	file_name)selfr   kwargsv2	__class__r	   V/home/ubuntu/.local/lib/python3.10/site-packages/tensorflow_datasets/image/celebahq.pyr   ?   s   	zCelebaHQConfig.__init__)	__name__
__module____qualname____doc__r
   r   disallow_positional_argsr   __classcell__r	   r	   r   r   r   <   s    r   c                   @   s   e Zd ZdZdZejdZe	dde	dde	dde	dde	d	de	d
de	dde	dde	dde	dde	ddgZ
dd Zdd Zdd ZdS )CelebAHqzCeleba_HQ Dataset.z  manual_dir should contain multiple tar files with images (data2x2.tar,
  data4x4.tar .. data1024x1024.tar).
  Detailed instructions are here:
  https://github.com/tkarras/progressive_growing_of_gans#preparing-datasets-for-training
  z0.1.0i   )r   i         @                      c              	   C   sD   t jj| tt jt jj| jj| jjdfddt j	 ddt
dS )N   png)shapeencoding_formatimagezimage/filenamez6https://github.com/tkarras/progressive_growing_of_gans)builderr   featureshomepagecitation)r
   r   DatasetInfo_DESCRIPTIONr.   FeaturesDictImagebuilder_configr   Text	_CITATION)r   r	   r	   r   _infon   s   	zCelebAHq._infoc                 C   s`   t j|j| jj}tjj	|s d}||j7 }|d7 }t
|tjjtjjd||idgS )zReturns SplitGenerators.z@You must download the dataset files manually and place them in: z? as .tar files. See testing/test_data/fake_examples/celeb_a_hq archive)r   
gen_kwargs)ospathjoin
manual_dirr5   r   tfiogfileexistsAssertionErrorr
   r   SplitGeneratorSplitTRAINiter_archive)r   
dl_managerimage_tar_filemsgr	   r	   r   _split_generators   s   

zCelebAHq._split_generatorsc                 c   s(    |D ]\}}||d}||fV  qd S )Nr+   r	   )r   r9   fnamefobjrecordr	   r	   r   _generate_examples   s
   
zCelebAHq._generate_examplesN)r   r   r   r   MANUAL_DOWNLOAD_INSTRUCTIONSr
   r   r   VERSIONr   BUILDER_CONFIGSr8   rK   rO   r	   r	   r	   r   r   T   s&    r   )r   
__future__r   r   r   r;   tensorflow.compat.v2compatr   r?   tensorflow_datasets.public_api
public_apir
   r7   r2   r   BuilderConfigr   GeneratorBasedBuilderr   r	   r	   r	   r   <module>   s   