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Update from upstream
Prevents call to download and preprocessing when data is already available.
Library tensorflow.io.gfile uses Tensorflow's C layer to access data. This includes support for some file systems (e.g. for Google Cloud Storage) which are not supported by Python's OS libraries.
Some file systems may add trailing slashing when listing folder contents
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When running machine learning programs on Google Cloud TPUs (e.g. from Google Colab), the data must be stored on Google Cloud Storage. The current implementation uses methods, especially
tf.keras.utils.get_file, which do not support this.The pull request achieves two things:
Example
This workbook can be run either on GPU or on TPU.
Possible Improvements
tf.keras.utils.get_filewith another method which allows storage directly into GCS