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Commits on Mar 6, 2025

• fix env variable name (#63)

  

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• Cherry-pick with missing commits from PT 2.6 (#60)

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• Switch torch.generator API to PT2.6 v1.20 (#54)

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• Change wheel version scheme

  

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• Fix node redefined error in CAG (#55)

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• Fix names collisions with foreach decomps (#145479) (#50)

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• Fix ref counting of objects in the set_autograd_compiler function. (#145482)

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• Torch generator for PT2.6 (#5)

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• Support torch.generator API for HPU

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• subgraph rewriter supports matched pattern with no users (#4)

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• Add colease support for devicetype other than cuda

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• Align function with Callable support to upstream one

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• Add support for Callable for PT 2.4

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• Add support for other backends in get_preferred_device

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• Stop building with 2 different OMPs

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• Make set_storage_keep_dtype virtual

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• Fix for unitialized parameters

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• Enable HPU lazy and non-lazy in local fork

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Commits on Jan 15, 2025

• [Release/2.6] Enable python-3.13t aarch64 builds (#144878)

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• [CD] Fix slim-wheel nvjit-link import problem (#144816)

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• [BE] Parametrize `test_min_max` (#144814)

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Commits on Jan 14, 2025

• [cherry-pick] [dtensor] improve doc of the DTensor class (#144099) (#144740)

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• Use random64 in Fischer-Yates algorithm for large N (#143682) (#144735)

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• [MPS] Fix bitwise shifts for uint8 (#144732)

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• [CI] Add Triton 3.13t build (#144578)

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• Revert "Use random64 in Fischer-Yates algorithm for large N (#143682)… (#144730)

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Commits on Jan 10, 2025

• [MPS] Fix conv backward for channels last (cont) (#144570)

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• Extend bmm tiling to work up to 2^32 elem in any single output dim (#144558)

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• [ONNX] Update images and APIs to onnx_dynamo.rst (#144428)

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• [ONNX] Avoid overwriting overlapped decomposed functions (#144418)

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• [ONNX] Handle list values as 0d inputs (#144417)

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• ROCm SDPA: Ensure attn_mask has the same dtype with q (#144398)

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• Amazon Linux 2023: Preload cusparseLt.so (#144493)

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• [3.13t] use sysconfig to check for Python nogil builds (#144393)

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• Fix PythonMod printing (#144335)

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