`keras.utils.get_file` does not support gzip as advertised

System information.

• Have I written custom code (as opposed to using a stock example script provided in Keras): No
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): glinux 5.17.11-1rodete2-amd64
• TensorFlow installed from (source or binary): binary
• TensorFlow version (use command below): 2.9.1
• Python version: 3.10.0
• Bazel version (if compiling from source): n/a
• GPU model and memory: n/a
• Exact command to reproduce:

gzip_path = "https://storage.googleapis.com/tf_model_garden/nlp/bert/v3/uncased_L-12_H-768_A-12.tar.gz"
# `/content/bert_base_uncased` is still a `tar.gz` file
ungzip_file = keras.utils.get_file(
    "/content/bert_base_uncased",
    gzip_path,
    extract=True,
    archive_format="tar", # bug occurs whether this arg is specified
)

Describe the problem.

get_file documentation claims to support gzip in the archive_format argument docstring (see https://www.tensorflow.org/api_docs/python/tf/keras/utils/get_file). However, I have tried several tar.gz files like the example above and they are not extracted.

Describe the current behavior. tar.gz files are downloaded but not extracted.

Describe the expected behavior. tar.gz files are downloaded and extracted. bert_base_uncased should be a folder with the following files:

tmp/temp_dir/raw/
tmp/temp_dir/raw/vocab.txt
tmp/temp_dir/raw/bert_model.ckpt.index
tmp/temp_dir/raw/bert_model.ckpt.data-00000-of-00001
tmp/temp_dir/raw/bert_config.json

Contributing.

• Do you want to contribute a PR? (yes/no): No

Standalone code to reproduce the issue. Please see https://colab.research.google.com/drive/1OcIuIcii7CFhNudp9rIvNWNqU-VZg9SI?usp=sharing

Source code / logs. n/a see colab

[mattdangerw]

I’m pretty sure the plan was to make this open for contributions. Is that right @jbischof ?

[jasonbrancazio]

I’m experiencing a similar issue with the Fashion MNIST data:

train_images_url = 'http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz'
train_labels_url = 'http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz'
test_images_url = 'http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz'
test_labels_url = 'http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz'

CACHE_DIR = '/content'
CACHE_SUBDIR = 'fashion_mnist'
for url in [train_images_url, train_labels_url, test_images_url, test_labels_url]:
    tf.keras.utils.get_file(url.split('/')[-1], url, extract=True, cache_dir=CACHE_DIR, cache_subdir=CACHE_SUBDIR, archive_format='zip')

The above code will download the .gz files to /content/fashion_mnist on Google Colab, but not extract them.