tf.keras.utils.get_file

TensorFlow 2 version View source on GitHub

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

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
)

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.

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.

Path to the downloaded file