Rasmus Munk Larsen authored Nov 01, 2025 and Charles Schlosser committed Nov 01, 2025

This implements `Eigen::internal::assume_aligned` to match the API for C++20 standard as best as possible using either `std::assume_aligned` or `__builtin_assume_aligned` if available. If neither is available, the function is a no-op.

The override macro `EIGEN_ASSUME_ALIGNED` was changed to a `EIGEN_DONT_ASSUME_ALIGNED`, which now forces the function to be a no-op.

See merge request !2052

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### Description
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Fix doc references for nullary expressions.

### Reference issue
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Fixes #2997.

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Closes #2997

See merge request !2054

This causes some subtle alignment-related bugs, which @chuckyschluz is currently investigating.

See merge request !2055

Fixes #2998

Closes #2998

See merge request !2057

Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>

There was only a single code path left in TensorEvaluator using pblend. We can replace that with a call to the more general TernarySelectOp and get rid of pblend entirely from Core.

Closes #2998

See merge request !2056

Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>

Tyler Veness authored Nov 04, 2025 and Rasmus Munk Larsen committed Nov 04, 2025

I'm not sure where to put tests for this, assuming they're needed. They also wouldn't run in CI anyway since CI only exercises the C++17 codepaths.

See merge request !2053

Make assume_aligned a no-op on ARM & ARM64 when msan is used, to work around a missing linker symbol.

See merge request !2058

Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>

Tyler Veness authored Nov 04, 2025 and Rasmus Munk Larsen committed Nov 04, 2025

See merge request !2059

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### Description
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Remove deprecated CUDA device properties.

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Fixes #3000.

Closes #3000

See merge request !2060

Antonio Sánchez authored Nov 05, 2025 and Rasmus Munk Larsen committed Nov 05, 2025

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### Description
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Fix MKL enum conversion warning.

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Fixes #2999.

Closes #2999

See merge request !2061

The goal of this MR is to implement a generic SIMD backend (packet ops) for Eigen that uses clang vector extensions instead of platform-dependent intrinsics. Ideally, this should make it possible to build Eigen and achieve reasonable speed on any platform that has a recent clang compiler, without having to write any inline assembly or intrinsics.

Caveats:

* The current implementation is a proof of concept and supports vectorization for float, double, int32_t, and int64_t using fixed-size 512-bit vectors (a somewhat arbitrary choice). I have not done much to tune this for speed yet.
* For now, there is no way to enable this other than setting -DEIGEN_VECTORIZE_GENERIC on the command line.
* This only compiles with newer versions of clang. I have tested that it compiles and all tests pass with clang 19.1.7.

https://clang.llvm.org/docs/LanguageExtensions.html#vectors-and-extended-vectors



Closes #2998 and #2997

See merge request !2051

Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>
Co-authored-by: Antonio Sánchez <cantonios@google.com>

Rasmus Munk Larsen authored Nov 06, 2025 and Antonio Sánchez committed Nov 06, 2025

See merge request !2064

Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>

See merge request !2065

Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>

Antonio Sánchez authored Nov 07, 2025 and Rasmus Munk Larsen committed Nov 07, 2025

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### Description
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Enable generic clang backend tests.

A...

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### Description
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Broken at head by !2063.

See merge request !2066

See merge request !2068

Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>