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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_file
with another method which allows storage directly into GCS