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### Description
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Broken at head by !2063.
See merge request libeigen/eigen!2066
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### Description
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Enable generic clang backend tests.
Added an AVX512 job using the generic clang backend.
Also fixed up some guards in the custom AVX512 gemm/trsm kernels so they don't
start defining things if they aren't used.
See merge request libeigen/eigen!2063
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-vectorsCloses#2998 and #2997
See merge request libeigen/eigen!2051
Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>
Co-authored-by: Antonio Sánchez <cantonios@google.com>
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### Description
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Fix MKL enum conversion warning.
### Reference issue
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Fixes#2999.
Closes#2999
See merge request libeigen/eigen!2061
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 libeigen/eigen!2053
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 libeigen/eigen!2056
Co-authored-by: Rasmus Munk Larsen <rmlarsen@google.com>
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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 libeigen/eigen!2054
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 libeigen/eigen!2052
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### Description
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My review of https://gitlab.com/libeigen/eigen/-/merge_requests/2048 reminded me there was a much easier and better way of doing this for complex arrays.
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See merge request libeigen/eigen!2049
For several packet types, `abs2` was not vectorized even if it only requires `pmul`. Get rid of the confusing and redundant `HasAbs2` enum and instead check `HasMul` in addition to making sure the scalar type is not complex.
See merge request libeigen/eigen!2048
