Dmitry
Dmitry
Confirmed that `!pip install tensorflow-gpu==1.13.1` instead of `%tensorflow_version 1.x` in the Colab init cell fixes the issue in Colab.
It still doesn't work, although we're now installing an old version in Colab.
Closing due to lack of response.
I'm not sure I understand which homework you are referring to where you say that it suggests to fix this issue. The next homework is deep CEM, which differs only...
Also the instructions at https://www.coursera.org/learn/practical-rl/supplement/CZyxg/setting-up-course-environment will need to be updated.
Here is a fairly dirty script that cleans up metadata in one notebook (depends on `jq`): ```python #!/usr/bin/env python3 import argparse import sys import subprocess from pathlib import Path parser...
https://pre-commit.com/ and https://github.com/pre-commit/pre-commit-hooks look great.
https://github.com/Bultako/gammapy/blob/81679c679f68f00e400ed9d599980404d28094b8/black_notebooks.py or https://github.com/mcflugen/nbblack for formatting code also look promising.
tl;dr: ```bash pip install --user pre-commit ``` Put the following into `.pre-commit-config.yaml` (draft version): ```yaml # See https://pre-commit.com for more information # See https://pre-commit.com/hooks.html for more hooks repos: - repo:...
We can also host images on Github, like PyTorch docs do: https://github.com/pytorch/pytorch/pull/32158#issuecomment-573988904