TorchRL 0.10.1: Fixes and named dimensions in composite specs

Release Notes - v0.10.1

This patch release includes bug fixes, type annotation improvements, and CI enhancements cherry-picked from main.

Bug Fixes

• #3168 - @vmoens - [BugFix] AttributeError in accept_remote_rref_udf_invocation
  • Fixed AttributeError in RPC utilities when decorating classes with remote RRef invocation by handling None values in getattr calls

Features

• #3174 - @vmoens - [Feature] Named dims in Composite

  • Added support for named dimensions in Composite specs, enabling better integration with PyTorch's named tensors

• #3214 - @louisfaury - [Feature] Composite specs can create named tensors with 'zero' and 'rand'

  • Extended Composite specs to properly propagate names when creating tensors using zero() and rand() methods

Type Annotations & Documentation

• @vmoens - [Typing] Edit wrongfully set str type annotations

  • Fixed incorrect string type annotations across 19 files

• #3175 - @vmoens - [Versioning] Fix doc versioning

  • Fixed documentation versioning issues

CI/Build Improvements

• #3200 - @vmoens - [CI] Use pip install

  • Updated CI workflows to use pip install across 41 files

• @vmoens - [CI] Fix missing librhash0 in doc CI

  • Added missing librhash0 dependency in documentation CI

• @vmoens - [CI] Fix benchmarks for LLMs

  • Fixed LLM benchmark CI configurations

• #3222 - @vmoens - [CI] Upgrade doc python version

  • Upgraded Python version in documentation build workflows and added vLLM plugin entry point for FP32 overrides