Issue
Environment:
- Apple M1 Max
- Conda Environment / Miniforge3 with Python 3.9
All tensorflow deps have been installed:
tensorboard 2.10.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow-deps 2.10.0 0 apple
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-macos 2.10.0 pypi_0 pypi
tensorflow-metal 0.6.0 pypi_0 pypi
...
$ python
>>> import tensorflow as tf
>>> print(tf.__version__)
2.10.0
Everything looks good, however when I go to install CLU (https://pypi.org/project/clu/) I receive an error saying that tensorflow can't be found.
Here is what I tried:
$ pip install clu==0.0.7
...
Collecting etils[epath]
Using cached etils-0.8.0-py3-none-any.whl (127 kB)
Collecting jaxlib
Using cached jaxlib-0.3.22-cp39-cp39-macosx_11_0_arm64.whl (54.5 MB)
ERROR: Could not find a version that satisfies the requirement tensorflow (from clu) (from versions: none)
ERROR: No matching distribution found for tensorflow
ERROR: Could not find a version that satisfies the requirement tensorflow (from clu) (from versions: none) ERROR: No matching distribution found for tensorflow
How can this be? Is it because it is under tensorflow-deps? Would there be a way to redirect this/alias to tensorflow for it to be recognized in my conda environment? Let me know if anyone has ran into this issue before.
Solution
A quick workaround (not great) was to:
- Clone the CLU repo (https://github.com/google/CommonLoopUtils)
- Remove tensorflow library from the setup.py. Tensorflow will be recognized by the way you have installed it on your Mac with tensorflow-deps, etc.,
- Build the wheel
- Install in conda/env
Answered By - lausena
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