I am trying to follow this tutorial on federated learning TensorFlow and when executing this line I get an error:
train_data, test_data = tff.simulation.datasets.shakespeare.load_data()
The error:
Downloading shakespeare.sqlite.lzma: 79%|███████▉ | 1048576/1329828 [00:00<00:00, 12187174.26it/s]
---------------------------------------------------------------------------
NotFoundError Traceback (most recent call last)
<ipython-input-12-f8f1fc62c096> in <module>()
----> 1 train_data, test_data = tff.simulation.datasets.shakespeare.load_data()
4 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/lib/io/file_io.py in _prewrite_check(self)
86 "File isn't open for writing")
87 self._writable_file = _pywrap_file_io.WritableFile(
---> 88 compat.path_to_bytes(self.__name), compat.as_bytes(self.__mode))
89
90 def _prepare_value(self, val):
NotFoundError: /root/.tff/shakespeare.sqlite; No such file or directory
This is a problem with the current tensorflow-federated-nightly pip package. It should be fixed by https://github.com/tensorflow/federated/pull/1162.
In the mean time, try changing the pip install in the first cell to use the tensorflow-federated package instead of the nightly package. Example:
!pip install --quiet --upgrade tensorflow_federated
!pip install --quiet --upgrade nest_asyncio
import nest_asyncio
nest_asyncio.apply()
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