Eigen 3 documentation: this includes a getting started guide, a long tutorial, a quick reference, and page about porting from Eigen 2 to Eigen 3.Eigen up to version 3.4 is standard C++03 and maintains reasonable compilation times. Eigen has good compiler support as we run our test suite against many compilers to guarantee reliability and work around any compiler bugs.Implementing an algorithm on top of Eigen feels like just copying pseudocode.The API is extremely clean and expressive while feeling natural to C++ programmers, thanks to expression templates.Eigen is thoroughly tested through its own test suite (over 500 executables), the standard BLAS test suite, and parts of the LAPACK test suite.Reliability trade-offs are clearly documented and extremely safe decompositions are available. Algorithms are carefully selected for reliability.For large matrices, special attention is paid to cache-friendliness.Fixed-size matrices are fully optimized: dynamic memory allocation is avoided, and the loops are unrolled when that makes sense.Explicit vectorization is performed for SSE 2/3/4, AVX, AVX2, FMA, AVX512, ARM NEON (32-bit and 64-bit), PowerPC AltiVec/VSX (32-bit and 64-bit), ZVector (s390x/zEC13) SIMD instruction sets, and since 3.4 MIPS MSA with graceful fallback to non-vectorized code.Expression templates allow intelligently removing temporaries and enable lazy evaluation, when that is appropriate.Its ecosystem of unsupported modules provides many specialized features such as non-linear optimization, matrix functions, a polynomial solver, FFT, and much more.It supports various matrix decompositions and geometry features.It supports all standard numeric types, including std::complex, integers, and is easily extensible to custom numeric types.It supports all matrix sizes, from small fixed-size matrices to arbitrarily large dense matrices, and even sparse matrices.To publish posts, interact with other posts, and more, you have to use the iPhone app. Currently, a barebones version of Threads is available via the web, but it only supports browsing posts and profiles. There’s no timeline on when the web version of Threads will launch, but it’s clear iPhone is the dominant priority right now. “The team is already working on it,” Mosseri said in a post on Tuesday. What about accessing Threads through the web? According to Adam Mosseri, the head of Instagram, a web version of the service is already in the works. “We tried it out internally but it’s buggy and not worth investing time to fix when we have a ton more important things to do on iOS,” Jessel explained. In a post on the social network last week, Threads engineer Jessel responded to a question on running the iPhone version of Threads on the Mac. That’s exactly what Meta did, and as it turns out, the company had logic for the decision. So developers have to remember to opt out if they don’t want their app available to Mac users. After all, one of the selling points of Apple Silicon-powered Macs is that they can natively run any iPhone or iPad app.įor developers, this option is actually enabled by default. Many Threads users have questioned why Meta decided to block people from running the iPhone version of the Threads app on their Mac. Request a FREE account today and discover how you can put your Apple fleet on auto-pilot at a price point that is hard to believe. Over 38,000 organizations leverage Mosyle solutions to automate the deployment, management, and security of millions of Apple devices daily. Mosyle is the only solution that fully integrates five different applications on a single Apple-only platform, allowing businesses and schools to easily and automatically deploy, manage, and protect all their Apple devices. This story is supported by Mosyle, the only Apple Unified Platform.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |