Update tensordict requirement from !=0.9.0,<=0.10.0,>=0.8.0 to !=0.9.0,<=0.14.0,>=0.14.0

[dependabot]

Updates the requirements on tensordict to permit the latest version.

Release notes

Sourced from tensordict's releases.

TensorDict v0.14.0

Highlights

TensorDict 0.14.0 introduces Zarr-backed persistent storage, portable single-file memory-mapped archives, and direct autograd through TensorDict.backward(). It also improves serialization performance, distributed point-to-point operations, UnbatchedTensor interoperability, and memmap correctness and security.

Breaking Changes

• TensorDict.to_module() now preserves existing module parameter and buffer registrations by default. Pass preserve_module_state=False to retain the previous replacement behavior (#1720).
• TensorDict.copy_at_() now uses its optimized tensor-only path by default. Pass fast=False to retain the previous update_at_() fallback behavior (#1691).

Deprecations

• Memory-mapped loading now accepts allow_pickle across load and refresh APIs. In 0.14, omitting it still loads pickled non-tensor data with a warning; the default will become allow_pickle=False in 0.15. Pass True only for trusted artifacts or False to reject pickle now (#1763).

Features

• Added Zarr-backed PersistentTensorDict storage through to_zarr(), from_zarr(), and compatible store backends (#1754).
• Added portable single-file .tdz archives for memory-mapped TensorDicts, including lazy loading, subpath access, compression, writable mappings, and pack/unpack utilities (#1735).
• Added TensorDict.backward() for differentiating all compatible tensor leaves in one autograd operation (#1733).
• Added group-relative peers through group_dst and group_src for distributed send and receive operations (#1739).
• Added vmap support and Python scalar conversions for UnbatchedTensor (#1729, #1728).
• Added early-return support to multithreaded TensorDict consolidation.

Bug Fixes

• Converted mapping values into TensorDict values for TensorDict-typed fields in tensor-only tensorclasses (#1753).
• Hardened memmap paths against symlink traversal and unsafe output targets (#1762).
• Propagated dataset-creation options through nested persistent TensorDicts (#1759).
• Preserved zero-element tensors during memmap round trips (#1750).
• Fixed consolidation of non-contiguous TensorDicts (#1747).
• Preserved NonTensorStack entries in contiguous() (#1746).
• Allowed TensorDictParams.load_state_dict(strict=False) to skip missing submodules (#1734).
• Fixed _SubTensorDict memmap round trips (#1736).
• Preserved lazy concatenation for mixed TensorDict inputs (#1732).
• Kept recursive TensorDict metadata consistent and corrected UnbatchedTensor stack metadata (#1731, #1730).
• Preserved non-tensor entries during padding and boolean-mask indexing (#1725).
• Preserved TensorClass subclass identity across memmap save/load operations (#1722).

Performance

• Reused a shared worker pool across serialization operations.
• Removed a multithreaded consolidation slowdown caused by chunked copies.
• Improved Zarr metadata handling and lazy-read performance.

Contributors

Thanks to @​peterdsharpe, and @​javierdejesusda, both first-time contributors!

Full Changelog: pytorch/tensordict@v0.13.0...v0.14.0

Commits

• 54a5107 [BugFix] Convert Mapping values for TensorDict fields in tensor-only tensorcl...
• c0c4859 [Versioning] Prepare TensorDict 0.14.0 (#1764)
• 2a7c3d4 [Deprecation] Make memmap pickle loading explicit (#1763)
• e70b891 [BugFix] Harden memmap path handling (#1762)
• 32a837f [CI] Harden GitHub automation inputs (#1761)
• b5f1efd [CI] Fix Linux aarch64 nightly wheel uploads (#1760)
• c784065 [BugFix] Propagate create-dataset kwargs to nested PersistentTensorDicts (#1759)
• 720d743 [CI] Fix Linux aarch64 nightly wheel builds (#1757)
• 54a147b [BugFix] Preserve zero-element tensors in memmap round trips (#1750)
• cff62ee [CI] Add Linux aarch64 nightly wheels (#1756)
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