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Add dependency update instructions for all installation methods (#376)
## Summary - Added comprehensive "Updating Dependencies" sections to `docs/installation.md` for all five installation methods - Each section includes platform-specific upgrade commands (CUDA 11.8, CUDA 12.8, CPU, macOS) where applicable - Provides clear instructions for updating dependencies like `sleap-io` to their latest versions ## Changes by Installation Method ### 1. uv tool install (System-wide tool) - Added `uv tool upgrade sleap-nn` command - Added `uv tool upgrade --all` for upgrading all tools - Included note about version constraint behavior ### 2. uvx (One-off commands) - Explained that uvx automatically uses the latest version on each run - Added tip about automatic updates unless version is pinned ### 3. uv add (Project dependency) - Added `uv add --upgrade-package <package>` for specific package upgrades - Added `uv sync --upgrade` for upgrading all dependencies - Included detailed notes about when to use each approach ### 4. pip (Conda environment) - Added platform-specific `pip install --upgrade` commands for all platforms - Included tip for upgrading specific dependencies independently ### 5. uv sync (From source) - Enhanced existing upgrade section with platform-specific examples - Added `--upgrade` flag with appropriate extras for each platform - Improved explanation of how `--upgrade` works ## Documentation References All upgrade instructions are based on the official [uv documentation](https://docs.astral.sh/uv/): - [uv tool upgrade](https://docs.astral.sh/uv/guides/tools/) - [uv sync --upgrade](https://docs.astral.sh/uv/concepts/projects/dependencies/) - [uv add --upgrade-package](https://docs.astral.sh/uv/concepts/projects/dependencies/) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude <[email protected]>
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docs/installation.md

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@@ -79,6 +79,18 @@ Python 3.11 (or) 3.12 (or) 3.13 (required for all installation methods)
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sleap-nn --help
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```
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### Updating Dependencies
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To update sleap-nn and its dependencies (e.g., sleap-io) to their latest versions:
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```bash
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# Upgrade sleap-nn to the latest version
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uv tool upgrade sleap-nn
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```
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!!! note
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When upgrading, uv respects any version constraints specified during installation. The upgrade will only update within those constraints. To change version constraints, reinstall with new specifications using `uv tool install`.
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## Installation with uvx
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!!! note "uvx Installation"
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Because `uvx` installs packages fresh on every run, it's ideal for quick tests or use in remote environments. For regular use, you could install with [`uv tool install`](#installation-as-a-system-wide-tool-with-uv) or setting up a development environment with [`uv sync`](#installation-from-source) to avoid repeated downloads.
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### Updating Dependencies
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With `uvx`, no separate update command is needed:
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!!! tip "Automatic Updates"
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`uvx` automatically fetches and installs the latest version of sleap-nn and its dependencies (e.g., sleap-io) each time you run a command. This means you're always using the most recent version unless you specify version constraints like `uvx "sleap-nn[torch]==0.0.3" ...`.
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To ensure you're using the latest version, simply run your `uvx` command as usual - it will automatically download and use the newest available version.
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## Installation with uv add
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```
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This ensures the command runs in the correct environment.
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- **Another workaround (not recommended):**
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- **Another workaround (not recommended):**
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Check if you have any *empty* `pyproject.toml` or `uv.lock` files in `Users/<your-user-name>`. If you find empty files with these names, delete them and try again. (Empty files here can sometimes interfere with uv's environment resolution.)
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### Updating Dependencies
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To update sleap-nn and its dependencies to their latest versions:
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=== "Upgrade a Specific Package"
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```bash
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# Upgrade sleap-nn and update the lock file
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uv add "sleap-nn[torch]" --upgrade-package sleap-nn
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# Upgrade a specific dependency like sleap-io
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uv add sleap-io --upgrade-package sleap-io
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```
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=== "Upgrade All Dependencies"
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```bash
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# Upgrade all packages to their latest compatible versions
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uv sync --upgrade
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```
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!!! note
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- `uv add --upgrade-package <package>` forces the specified package to update to its latest compatible version, even if a valid version is already installed.
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- `uv sync --upgrade` refreshes the entire lockfile and updates all dependencies to their newest compatible versions while maintaining compatibility with your `pyproject.toml` constraints.
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- By default, `uv add` only updates the locked version if necessary to satisfy new constraints. Use `--upgrade-package` to force an update.
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## Installation with pip
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python -c "import torch; print(f'PyTorch: {torch.__version__}'); print(f'CUDA available: {torch.cuda.is_available()}')"
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```
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### Updating Dependencies
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To update sleap-nn and its dependencies to their latest versions:
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=== "Windows/Linux (CUDA)"
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```bash
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# CUDA 12.8
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pip install --upgrade sleap-nn[torch] --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128
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# CUDA 11.8
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pip install --upgrade sleap-nn[torch] --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu118
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```
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=== "Windows/Linux (CPU)"
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```bash
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pip install --upgrade sleap-nn[torch] --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu
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```
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=== "macOS"
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```bash
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pip install --upgrade "sleap-nn[torch]"
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```
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!!! tip "Upgrading Specific Dependencies"
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To upgrade a specific dependency like sleap-io independently:
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```bash
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pip install --upgrade sleap-io
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```
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## Installation from source
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uv sync --extra dev --extra torch-cpu
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```
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!!! tip "Upgrading All Dependencies"
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To ensure you have the latest versions of all dependencies, use the `--upgrade` flag with `uv sync`:
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#### 4. Updating Dependencies
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To update sleap-nn and its dependencies to their latest versions:
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=== "Windows/Linux (CUDA 11.8)"
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```bash
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uv sync --extra dev --upgrade
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uv sync --extra dev --extra torch-cuda118 --upgrade
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```
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This will upgrade all installed packages in your environment to the latest available versions compatible with your `pyproject.toml`.
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=== "Windows/Linux (CUDA 12.8)"
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```bash
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uv sync --extra dev --extra torch-cuda128 --upgrade
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```
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=== "macOS/CPU Only"
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```bash
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uv sync --extra dev --extra torch-cpu --upgrade
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```
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!!! tip "How --upgrade Works"
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The `--upgrade` flag refreshes the lockfile and updates all dependencies to their newest compatible versions while maintaining compatibility with your `pyproject.toml` constraints. This ensures you have the latest versions of all dependency packages.
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### Verify Installation

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