Release v6.2.0

✨ New Features

• Deep Learning Integration: Introduced the smile.torch module and binaries, enabling advanced deep learning capabilities. This is a lower binding module. The users should continue to use higher-level modules such as smile.deep, smile.llm, smile.vision, etc.
• Docker GPU Support: Added Dockerfile.jvm-gpu and matrix strategy for publishing GPU-enabled Docker images.

🔧 Improvements

• Memory Management: Enhanced memory handling and fixed memory leaks in deep learning modules.
• Tensor Management: Improved input tensor memory management and safer residual calculation across mixed backends.
• Dependency Updates: Upgraded Quarkus to 3.36.2 and Kotlin to 2.4.0.
• Build & Environment: Improved environment variable handling, permissions configuration, and test workflows.
• Examples: Added new deep learning example scripts (examples/deep.jsh).
• NoGradGuardTest: Added new test for gradient management.

⚠️ Breaking Changes

• Migrated deep module classes to use smile.torch API.

🛡️ Security

• Improved permissions configuration for safer builds.

Full Changelog: v6.1.1...v6.2.0