|TensorFlow 1 version||View source on GitHub|
Downloads a file from a URL if it not already in the cache.
Compat aliases for migration
See Migration guide for more details.
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 )
Used in the notebooks
|Used in the guide||Used in the tutorials|
By default the file at the url
origin is downloaded to the
~/.keras, placed in the cache_subdir
and given the filename
fname. The final location of a file
example.txt would therefore be
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
sha256sum can compute the hash.
fname: Name of the file. If an absolute path
/path/to/file.txtis 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/folderis 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