tf.keras.utils.get_file

tf.keras.utils.get_file(
    fname,
    origin,
    untar=False,
    md5_hash=None,
    file_hash=None,
    cache_subdir='datasets',
    hash_algorithm='auto',
    extract=False,
    archive_format='auto',
    cache_dir=None
)

Defined in tensorflow/python/keras/utils/data_utils.py.

Downloads a file from a URL if it not already in the cache.

By default the file at the url origin is downloaded to the cache_dir ~/.keras, placed in the cache_subdir datasets, and given the filename fname. The final location of a file example.txt would therefore be ~/.keras/datasets/example.txt.

Files in tar, tar.gz, tar.bz, and zip formats can also be extracted. Passing a hash will verify the file after download. The command line programs shasum and sha256sum can compute the hash.

Arguments:

• fname: Name of the file. If an absolute path /path/to/file.txt is specified the file will be saved at that location.
• origin: Original URL of the file.
• untar: Deprecated in favor of 'extract'. boolean, whether the file should be decompressed
• md5_hash: Deprecated in favor of 'file_hash'. md5 hash of the file for verification
• file_hash: The expected hash string of the file after download. The sha256 and md5 hash algorithms are both supported.
• cache_subdir: Subdirectory under the Keras cache dir where the file is saved. If an absolute path /path/to/folder is specified the file will be saved at that location.
• hash_algorithm: Select the hash algorithm to verify the file. options are 'md5', 'sha256', and 'auto'. The default 'auto' detects the hash algorithm in use.
• extract: True tries extracting the file as an Archive, like tar or zip.
• archive_format: Archive format to try for extracting the file. Options are 'auto', 'tar', 'zip', and None. 'tar' includes tar, tar.gz, and tar.bz files. The default 'auto' is ['tar', 'zip']. None or an empty list will return no matches found.
• cache_dir: Location to store cached files, when None it defaults to the Keras Directory.

Returns:

Path to the downloaded file