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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.
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Fixes#2999.
Closes#2999
See merge request libeigen/eigen!2061
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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 libeigen/eigen!2060
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.
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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
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### Description
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Allow user to configure if `free` is allowed at runtime.
Reverts to Eigen 3.4 behavior by default, where `free(...)` is allowed if `EIGEN_RUNTIME_NO_MALLOC` is defined but `set_is_malloc_allowed(true)`. Adds a separate `set_is_free_allowed(...)` to explicitly control use of `std::free`.
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Fixes#2983.
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Closes#2983
See merge request libeigen/eigen!2047
Scalar doesn't necessarily support implicit construction from int or
assignment from int.
Here's the error message I got without this fix:
```
/home/tav/git/Sleipnir/build/_deps/eigen3-src/Eigen/src/SparseCore/SparseVector.h:180:25: error: no match for ‘operator=’ (operand types are ‘Eigen::internal::CompressedStorage<ExplicitDouble, int>::Scalar’ {aka ‘ExplicitDouble’} and ‘int’)
180 | m_data.value(p + 1) = 0;
| ~~~~~~~~~~~~~~~~~~~~^~~
```
See merge request libeigen/eigen!2046
Here's the compiler error:
```
/home/tav/git/Sleipnir/build/_deps/eigen3-src/Eigen/src/Householder/Householder.h:82:16: error: call of overloaded ‘sqrt(boost::decimal::decimal64_t)’ is ambiguous
82 | beta = sqrt(numext::abs2(c0) + tailSqNorm);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/tav/git/Sleipnir/build/_deps/eigen3-src/Eigen/src/Householder/Householder.h:82:16: note: there are 2 candidates
In file included from /home/tav/git/Sleipnir/build/_deps/eigen3-src/Eigen/Core:198,
from /home/tav/git/Sleipnir/test/src/optimization/cart_pole_problem_test.cpp:8:
/home/tav/git/Sleipnir/build/_deps/eigen3-src/Eigen/src/Core/MathFunctions.h:1384:75: note: candidate 1: ‘typename Eigen::internal::sqrt_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type Eigen::numext::sqrt(const Scalar&) [with Scalar = boost::decimal::decimal64_t; typename Eigen::internal::sqrt_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type = boost::decimal::decimal64_t; typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type = boost::decimal::decimal64_t]’
1384 | EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE EIGEN_MATHFUNC_RETVAL(sqrt, Scalar) sqrt(const Scalar& x) {
| ^~~~
In file included from /home/tav/git/Sleipnir/build/_deps/decimal-src/include/boost/decimal/detail/cmath/ellint_1.hpp:16,
from /home/tav/git/Sleipnir/build/_deps/decimal-src/include/boost/decimal/cmath.hpp:18,
from /home/tav/git/Sleipnir/build/_deps/decimal-src/include/boost/decimal.hpp:33,
from /home/tav/git/Sleipnir/test/include/scalar_types_under_test.hpp:6,
from /home/tav/git/Sleipnir/test/src/optimization/cart_pole_problem_test.cpp:19:
/home/tav/git/Sleipnir/build/_deps/decimal-src/include/boost/decimal/detail/cmath/sqrt.hpp:167:16: note: candidate 2: ‘constexpr T boost::decimal::sqrt(T) requires is_decimal_floating_point_v<T> [with T = decimal64_t]’
167 | constexpr auto sqrt(const T val) noexcept
| ^~~~
```
Calling a function via its unqualified name invokes argument-dependent lookup. In this case, since `using numext::sqrt;` was used, both `numext::sqrt()` and `boost::decimal::sqrt()` participated in overload resolution. Since only `numext::sqrt()` was intended, the fix is to call that overload directly instead.
See merge request libeigen/eigen!2044
ComplexQZ would try to apply a Jacobi rotation to an empty block, which triggers a warning in static analyzers, since the corresponding `Eigen::Map` object will contain a `nullptr`.
See merge request libeigen/eigen!2043
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### Description
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Clarify range spanning major versions only works with 3.4.1.
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Fixes#2994.
Closes#2994
See merge request libeigen/eigen!2042
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Eliminate use of std::cout in ArpackSelfAdjointEigenSolver.
Instead set the appropriate error status on failure.
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See merge request libeigen/eigen!2041
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### Reference issue
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### What does this implement/fix?
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Currently, we run each test 3 times to account for flaky tests. Sometimes, the test fails so quickly that the random seed is the same for the subsequent test, which fails the exact same way.
This MR uses a nanosecond seed which resolves the issue described above. Now, if the test does not pass on the first attempt but passes on the retries, the gitlab job status will be yellow but still be treated as a pass in the ci/cd pipeline. Hopefully, this means we will get more passes and help us identify room for improvement.
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See merge request libeigen/eigen!2025
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### Description
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Support AVX for i686.
There was an existing work-around for windows. Added the more generic
architecture comparison to also apply for linux.
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Fixes#2991.
Closes#2991
See merge request libeigen/eigen!2037
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### Description
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More ComplexQZ fixes.
Extra semicolons are triggering some warnings and errors with `-Werror`.
Moved the `Sparse` import up to the umbrella header to avoid IWYU exports.
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See merge request libeigen/eigen!2036
