fix(inference): add support for xpu devices in TorchInferencer

[rajeshgangireddy]

📝 Description

Even though TorchInferencer is legacy, many users still use it. Adding support for xpu for this.
Tested with cpu, cuda and xpu.

Select what type of change your PR is:

• 🚀 New feature (non-breaking change which adds functionality)
• 🐞 Bug fix (non-breaking change which fixes an issue)
• 🔄 Refactor (non-breaking change which refactors the code base)
• ⚡ Performance improvements
• 🎨 Style changes (code style/formatting)
• 🧪 Tests (adding/modifying tests)
• 📚 Documentation update
• 📦 Build system changes
• 🚧 CI/CD configuration
• 🔧 Chore (general maintenance)
• 🔒 Security update
• 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)

✅ Checklist

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• 📚 I have made the necessary updates to the documentation (if applicable).
• 🧪 I have written tests that support my changes and prove that my fix is effective or my feature works (if applicable).
• 🏷️ My PR title follows conventional commit format.

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[Copilot]

Pull request overview

Adds xpu as a supported device option for the legacy TorchInferencer, including CLI exposure and auto-device selection logic.

Changes:

• Added xpu to the inference CLI --device choices.
• Updated TorchInferencer docs and device validation to accept xpu.
• Enhanced auto device selection to prefer CUDA, then XPU (if available), else CPU.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.

File	Description
tools/inference/torch_inference.py	Exposes xpu as a valid CLI device choice.
src/anomalib/deploy/inferencers/torch_inferencer.py	Adds xpu to supported devices and implements auto-selection logic for it.

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[Copilot]

Pull request overview

Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.

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