xsimd: update to 14.2.0.

[jason1987d]

Testing the changes

• I tested the changes in this PR: YES

Local build testing

• I built this PR locally for my native architecture, x86_64-libc

[jason1987d]

Trying to figure out how to properly patch based on xtensor-stack/xsimd#1246 which is based on master. How to proceed?

[JkktBkkt]

Trying to figure out how to properly patch based on xtensor-stack/xsimd#1246 which is based on master. How to proceed?

Does only applying this commit fix it? xtensor-stack/xsimd@4baba66

The other one is logging changes, which seems to be mostly unrelated / other issue tackled in same PR

[jason1987d]

Trying to figure out how to properly patch based on xtensor-stack/xsimd#1246 which is based on master. How to proceed?

Does only applying this commit fix it? xtensor-stack/xsimd@4baba66

The other one is logging changes, which seems to be mostly unrelated / other issue tackled in same PR

Applied it. The tests there are still failing.

[jason1987d]

Trying to figure out how to properly patch based on xtensor-stack/xsimd#1246 which is based on master. How to proceed?

Does only applying this commit fix it? xtensor-stack/xsimd@4baba66
The other one is logging changes, which seems to be mostly unrelated / other issue tackled in same PR

Applied it. The tests there are still failing.

Following up on this situation. I was able to get both commits applied as patches, with a slight edit to line numbers in one of the hunks that was getting rejected. See my latest comment on xtensor-stack/xsimd#1244 .

[jason1987d]

Finally got the test case for x86_64-musl fixed. Applied as a patch here.
xtensor-stack/xsimd#1336

[jason1987d]

Also, tested and worked with this sample code.

#include <iostream>
#include <xsimd/xsimd.hpp>

// Vector size, adjust it for your testing
const size_t N = 8;

int main() {
    // Create two arrays of size N
    float a[N] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0};
    float b[N] = {8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0};
    float result[N];

    // Define the SIMD type for float (you can change it based on your architecture)
    using simd_float = xsimd::simd_type<float>;

    // Perform SIMD addition
    for (size_t i = 0; i < N; i += simd_float::size) {
        simd_float vec_a = xsimd::load_aligned(&a[i]);
        simd_float vec_b = xsimd::load_aligned(&b[i]);
        simd_float vec_result = vec_a + vec_b;

        // Store the result
        vec_result.store_aligned(&result[i]);
    }

    // Print out the result
    std::cout << "Result of SIMD addition:" << std::endl;
    for (size_t i = 0; i < N; ++i) {
        std::cout << result[i] << " ";
    }
    std::cout << std::endl;

    return 0;
}