Reset LD_LIBRARY_PATH on deactivate

[roomrys]

Description

In #1496 we set the LD_LIBRARY_PATH on activating the mamba environment, This PR remembers and resets the old LD_LIBRARY_PATH on deactivate by using a third environment variable SLEAP_OLD_LD_LIBRARY_PATH.

This PR also documents an approach for doing this on existing environments under sleap.ai/installation#gpu-support:

Types of changes

• [ ] Bugfix
• [ ] New feature
• [ ] Refactor / Code style update (no logical changes)
• [x] Build / CI changes
• [ ] Documentation Update
• [ ] Other (explain)

Does this address any currently open issues?

[list open issues here]

Outside contributors checklist

• [ ] Review the guidelines for contributing to this repository
• [ ] Read and sign the CLA and add yourself to the authors list
• [ ] Make sure you are making a pull request against the develop branch (not main). Also you should start your branch off develop
• [ ] Add tests that prove your fix is effective or that your feature works
• [ ] Add necessary documentation (if appropriate)

Thank you for contributing to SLEAP!

:heart:

Summary by CodeRabbit

• Bug Fix: Updated the .conda/build.sh script to ensure both activate and deactivate scripts are copied correctly.
• New Feature: Added functionality in .conda/sleap_activate.sh to store the current LD_LIBRARY_PATH before updating it, allowing for easy restoration later.
• Chore: Implemented a reset mechanism in .conda/sleap_deactivate.sh to restore the original LD_LIBRARY_PATH when deactivating the environment.
• Documentation: Updated docs/installation.md with instructions on how to handle issues related to TensorFlow version and GPU detection for Linux users.

[roomrys]

The test on the new build:

# The original LD_LIBRARY_PATH
(sleap_build) talmolab@talmolab-01-ubuntu:~/sleap-estimates-animal-poses/pull-requests/sleap$ echo $LD_LIBRARY_PATH

# Activate the environment with the new build installed, note the LD_LIBRARY_PATH
(sleap_build) talmolab@talmolab-01-ubuntu:~/sleap-estimates-animal-poses/pull-requests/sleap$ mm activate nb0
(nb0) talmolab@talmolab-01-ubuntu:~/sleap-estimates-animal-poses/pull-requests/sleap$ echo $LD_LIBRARY_PATH
/home/talmolab/micromamba/envs/nb0/lib:
(nb0) talmolab@talmolab-01-ubuntu:~/sleap-estimates-animal-poses/pull-requests/sleap$ echo $SLEAP_OLD_LD_LIBRARY_PATH

# Now lets deactivate the environment and check that LD_LIBRARY_PATH is reset
(nb0) talmolab@talmolab-01-ubuntu:~/sleap-estimates-animal-poses/pull-requests/sleap$ mm deactivate
(sleap_build) talmolab@talmolab-01-ubuntu:~/sleap-estimates-animal-poses/pull-requests/sleap$ echo $LD_LIBRARY_PATH

[coderabbitai[bot]]

Walkthrough

This update enhances the Conda environment handling for SLEAP by ensuring both activation and deactivation scripts are properly copied. It also introduces a mechanism to manage LD_LIBRARY_PATH during environment activation/deactivation, and updates the documentation with instructions related to these changes and TensorFlow version management.

Changes

File	Summary
.conda/build.sh	Modified to copy both activate and deactivate scripts using a loop.
.conda/sleap_activate.sh	Updated to export SLEAP_OLD_LD_LIBRARY_PATH and modify LD_LIBRARY_PATH.
.conda/sleap_deactivate.sh	Resets LD_LIBRARY_PATH to its old value during environment deactivation.
docs/installation.md	Added instructions for managing TensorFlow version and setting/resetting LD_LIBRARY_PATH.

🐇💻

In the land of code where the shadows lie,

The rabbit hops, his gaze held high.

With each leap, an improvement made,

In the realm of Conda, his mark is laid.

Scripts activated, deactivated in turn,

Through each line, a lesson learned.

Paths set right, TensorFlow tamed,

In the annals of code, his work is named. 🎉

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