C4W4 "Custom Federated Algorithms, Part 1: Introduction to the Federated Core" ---> Error running "import tensorflow_federated as tff"

Course Q&A TensorFlow: Data and Deployment Specialization Advanced Deployment Scenarios with TensorFlow
1

Hi all

When I run this:

import collections

import numpy as np
import tensorflow as tf
import tensorflow_federated as tff

I get this:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-3-178f3cd2038b> in <module>()
      3 import numpy as np
      4 import tensorflow as tf
----> 5 import tensorflow_federated as tff

7 frames
/usr/local/lib/python3.7/dist-packages/tensorflow_federated/python/common_libs/structure.py in <module>()
    263 
    264 def to_odict(struct: Struct,
--> 265              recursive: bool = False) -> collections.OrderedDict[str, Any]:
    266   """Returns `struct` as an `OrderedDict`, if possible.
    267 

TypeError: 'type' object is not subscriptable

How do I fix it?

2

I also get an error prior to this error (in the previous cell on the colab) which may help fix the error above:

When I run this:

#@test {"skip": true}
!pip install --quiet --upgrade tensorflow-federated
!pip install --quiet --upgrade nest-asyncio

import nest_asyncio
nest_asyncio.apply()

I get this:

     |████████████████████████████████| 866 kB 4.2 MB/s 
     |████████████████████████████████| 1.8 MB 20.1 MB/s 
     |████████████████████████████████| 121 kB 57.1 MB/s 
     |████████████████████████████████| 45 kB 3.6 MB/s 
     |████████████████████████████████| 53 kB 2.4 MB/s 
     |████████████████████████████████| 4.0 MB 18.5 MB/s 
     |████████████████████████████████| 65.1 MB 71 kB/s 
     |████████████████████████████████| 237 kB 34.8 MB/s 
     |████████████████████████████████| 287 kB 8.8 MB/s 
     |████████████████████████████████| 887 kB 40.9 MB/s 
     |████████████████████████████████| 596 kB 13.8 MB/s 
     |████████████████████████████████| 54 kB 2.2 MB/s 
     |████████████████████████████████| 462 kB 35.2 MB/s 
     |████████████████████████████████| 9.5 MB 31.6 MB/s 
     |████████████████████████████████| 25.9 MB 5.1 MB/s 
     |████████████████████████████████| 5.7 MB 20.9 MB/s 
     |████████████████████████████████| 4.2 MB 21.5 MB/s 
     |████████████████████████████████| 11.5 MB 27.3 MB/s 
  Building wheel for jax (setup.py) ... done
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
spacy 2.2.4 requires tqdm<5.0.0,>=4.38.0, but you have tqdm 4.28.1 which is incompatible.
pymc3 3.11.4 requires cachetools>=4.2.1, but you have cachetools 3.1.1 which is incompatible.
panel 0.12.1 requires tqdm>=4.48.0, but you have tqdm 4.28.1 which is incompatible.
fbprophet 0.7.1 requires tqdm>=4.36.1, but you have tqdm 4.28.1 which is incompatible.
datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.
albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.

Perhaps the two errors are related

3

Found a solution, try:

!pip install --quiet tensorflow-federated==0.20.0 # The latest version of tensorflow-federated is not working with the colab python version
!pip install --quiet --upgrade nest-asyncio

Got solution from:
“Cannot import library tensorflow_federated · Issue #2770 · tensorflow/federated · GitHub”