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GitHub - Zuzu-Typ/PyGLM: Fast OpenGL Mathematics (GLM) for Python

Work fast with our official CLI. Learn fast mathematics github. If nothing happens, download GitHub Desktop and try. If nothing happens, download Xcode and try.

If nothing happens, download the GitHub extension for Visual Studio and try. This package enables a number of "unsafe" floating point optimizations for GHC. For example, the distributive law:.

The lowest order bits may be different due fast mathematics github rounding errors. Therefore, GHC and most compilers for any language will not perform this optimization by default. Instead, most compilers support special flags that enable these unsafe optimizations. See for example the -ffast-math flag in the gcc documentation and the gcc wiki page FloatingPointMath.

GHC, however, has no built in flags for these optimizations. But that's okay. To enable these optimizations in your code, simply add the following line to the top of your source files:. For fast mathematics github users, this is all you need to. But some advanced code will depend on specific properties of the IEEE standard, and so will want to enable only some of the optimizations. The module structure of fast-math makes this easy.

Every module corresponds to a certain family of optimizations. Importing that module enables only fast mathematics github optimizations. For example, to enable optimizations that are unsafe only in the presence of NaN values, we would add the line:.

There are still some optimizations that gcc's -ffast-math flag supports that this library fast mathematics github support. With the fast-math library, GHC factors out dthen folds the constants, producing the core:. Then GHC distributes successfuly, but can't figure out how Fast Mathematics Gmbh to fold the constants. It produces the core:. We could fix gtihub problem if the RULES pragmas could Fast Revision Mathematics identify which terms are constants and gthub are ffast.

The best way to mathhematics what optimizations are actually supported is to look at the source code. RULES pragmas are surprisingly readable. The LLVM backend can perform a number of these optimizations for us as well if we pass it fast mathematics github right flags. It does not perform all of them. Possibly GHC's optimization passes remove the opportunity?

In any event, executables from the built-in code generator and llvm generator gihtub both see speed improvements. Currently, there is no support for GHC 7. This will hopefully appear in a future release. This package is available on hackageand can be easily installed with:.

Skip to content. Branches Tags. Nothing to. Go. Launching Xcode If nothing happens, download Xcode and try. Latest commit. Git stats 23 commits. Failed to load latest commit information. View code. What is fast-math? Enabling the optimizations How complete are the optimizations? How does this interact with LLVM? How does this interact with SIMD instructions? Enabling the optimizations To enable these optimizations in your code, simply add the following line to the top of your source files: import Numeric.

FastMath For most users, gifhub is all you need to. For example, to enable optimizations that are unsafe only in the presence of NaN values, we would add the line: import Numeric. NaN Fast mathematics github complete are the optimizations? Installation This package is available on hackagegithuh can be easily mathematifs with: cabal update fas install fast mathematics github. View fast mathematics github. Releases 2 major overhaul Latest.

Jun 2, Packages 0 No packages published. Contributors mathemqtics. You signed in with another tab or window.

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You can also plot a graph of any metrics that are being logged, making it easy to evaluate the progress of the network. It will not perform a dot or cross product you can use the Dot and Cross functions to compute those. For most users, this is all you need to do. Math methods. View code. You will find an overview on the [ Passing data to external libs ] page.

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