Update tensordict requirement from !=0.9.0,<=0.10.0,>=0.8.0 to >=0.8.0,!=0.9.0,<=0.11.0

[dependabot]

Updates the requirements on tensordict to permit the latest version.

Release notes

Sourced from tensordict's releases.

TensorDict v0.11.0

Highlights

This release brings Python 3.14 support (including free-threaded mode), drops Python 3.9, adds extensive torch.compile compatibility improvements, introduces new tensor manipulation methods, and expands NPU device support.

Breaking Changes

• Dropped Python 3.9 support - Python 3.10+ is now required (#1488)
• Removed deprecated features scheduled for v0.11 (#1526):
  • pad_sequence device parameter removed (deprecated since v0.5)
  • MemoryMappedTensor._tensor property now raises RuntimeError - use the tensor directly since it's a tensor subclass
  • Class decoration with context managers like set_lazy_legacy now raises RuntimeError
  • lock, unlock, rename_key (without trailing underscore) now raise RuntimeError - use lock_, unlock_, rename_key_ instead

Features

• Python 3.14 and free-threading support (#1481, #1438) - Fixed race conditions in value caching that caused segfaults under free-threaded Python (PYTHON_GIL=0). The library now declares it does not require the GIL.

• TensorClassModuleBase (#1473) - New base class for type-safe PyTorch modules that operate on TensorClass instances. Provides compile-time type checking, automatic TensorDict conversion via as_td_module(), nested TensorClass support, and ONNX export compatibility.

• New tensor manipulation methods - Added several torch-compatible operations:

  • td.movedim() (#1504)
  • td.swapaxes()
  • td.flip(), td.fliplr()
  • td.roll()
  • td.rot90()
  • td.narrow(), td.tile(), td.broadcast_to()
  • td.atleast_Nd()
  • td.mod()

• Quantiles support (#1450) - Added quantile computation for TensorDicts

• Context manager for td.to() (#1448) - td.to() can now be used as a context manager for temporary device transfers

• key_transform for reduce ops (#1451) - Added key transformation support for reduction operations

• selected_out_keys for ProbabilisticTensorDictSequential (#1497) - Added ability to specify which output keys to keep

• Extended NPU support (#1471, #1460) - Expanded NPU device support across more use cases previously limited to CUDA

• torch.compile support for tensordict.copy() (#1515, #1516)

Bug Fixes

• torch.compile compatibility fixes:
  • Fixed del_ in LazyStackedTensorDict (#1500)
  • Fixed td.pop() compilation (#1500)
  • Fixed select with strict=False
  • Fixed names setter incompatibility (#1521)

... (truncated)

Commits

• 92e2383 [CI] Fix wheel artifact corruption from duplicate filenames (#1543)
• 47d114e [CI] Document all version files and add Windows version sanity check (#1542)
• 2ef11a2 [BugFix] Fix Windows version script to 0.11.0
• 87d5536 [CI] Failing jobs stop upload in release CI (bis) (#1541)
• 31c7706 [CI] Failing jobs stop upload in release CI (#1540)
• 993094d [CI] Sequenital builds in release.yml (#1538)
• d022e02 [CI] Set cancel-in-progress: true for release workflow (#1537)
• bbd0b93 [CI] Remove automatic trigger from release workflow (#1536)
• d8b3e14 [CI] Fix concurrency in release branches builds
• 5736cb0 Bump version to 0.11.0 (#1534)
• Additional commits viewable in compare view

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