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July 5, 2021 09:19
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If you are having trouble following along on an M1 Mac, it's because the versions of the packages included | |
in the environment for the course do not play nicely with ARM64 processors. | |
After much rending of shirts, I have come up with an environment which works. | |
To set it up, follow the steps below exactly: | |
1) If not already done, remove the existing `conda` environment you were using for the course, we have to rebuild it. | |
2) Remove any existing installation of Anaconda or Miniconda. | |
They use Rosetta2, and will not work with TensofFlow | |
(which is a dependency of Keras, which you need for the course), because TensorFlow has CPU optimisations which | |
Rosetta can't deal with. | |
3) Install Miniforge from here: https://github.com/conda-forge/miniforge | |
This replaces your command line `conda` with an ARM64-ready version, and has the added benefit of | |
making conda-forge the default channel. | |
4) Create an environmnt based on the below YAML: | |
``` | |
name: apple_tensorflow | |
channels: | |
- conda-forge | |
- nodefaults | |
dependencies: | |
- python=3.8 | |
- grpcio | |
- h5py | |
- ipython | |
- numpy=1.19.5 | |
- pip=20.2.4 | |
- scipy | |
- termcolor | |
- typeguard | |
- wheel | |
- absl-py | |
- astunparse | |
- python-flatbuffers | |
- gast | |
- google-pasta | |
- keras-preprocessing | |
- opt_einsum | |
- protobuf | |
- tensorboard | |
- tensorflow-estimator | |
- termcolor | |
- typing_extensions | |
- wrapt | |
- jupyter | |
- nltk | |
- pandas | |
- spacy | |
- jupyterlab | |
- matplotlib | |
- keras | |
- scikit-learn | |
- click=7.1.2 | |
``` | |
4) Install Apple opimised TensorFlow by running | |
``` | |
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/apple/tensorflow_macos/master/scripts/download_and_install.sh)" | |
``` | |
5) Reload any Spacy languade models you may have had installed, these will probably do: | |
``` | |
python -m spacy download en_core_web_sm | |
python -m spacy download en_core_web_lg | |
``` | |
Good luck |
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