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https://github.com/g-truc/glm.git
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commit
6cd38b9b02
@ -529,6 +529,48 @@
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# define GLM_EXPLICIT
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#endif
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///////////////////////////////////////////////////////////////////////////////////
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// SYCL
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#if GLM_COMPILER==GLM_COMPILER_SYCL
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#include <CL/sycl.hpp>
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#include <limits>
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namespace glm {
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namespace std {
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// Import SYCL's functions into the namespace glm::std to force their usages.
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// It's important to use the math built-in function (sin, exp, ...)
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// of SYCL instead the std ones.
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using namespace cl::sycl;
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///////////////////////////////////////////////////////////////////////////////
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// Import some "harmless" std's stuffs used by glm into
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// the new glm::std namespace.
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template<typename T>
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using numeric_limits = ::std::numeric_limits<T>;
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using ::std::size_t;
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using ::std::uint8_t;
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using ::std::uint16_t;
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using ::std::uint32_t;
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using ::std::uint64_t;
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using ::std::int8_t;
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using ::std::int16_t;
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using ::std::int32_t;
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using ::std::int64_t;
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using ::std::make_unsigned;
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///////////////////////////////////////////////////////////////////////////////
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} //namespace std
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} //namespace glm
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#endif
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///////////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////////////
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// Length type: all length functions returns a length_t type.
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// When GLM_FORCE_SIZE_T_LENGTH is defined, length_t is a typedef of size_t otherwise
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@ -81,6 +81,9 @@
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#define GLM_COMPILER_CUDA75 0x100000B0
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#define GLM_COMPILER_CUDA80 0x100000C0
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// SYCL
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#define GLM_COMPILER_SYCL 0x00300000
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// Clang
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#define GLM_COMPILER_CLANG 0x20000000
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#define GLM_COMPILER_CLANG34 0x20000050
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@ -129,6 +132,10 @@
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# error "GLM requires CUDA 7.0 or higher"
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# endif
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// SYCL
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#elif defined(__SYCL_DEVICE_ONLY__)
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# define GLM_COMPILER GLM_COMPILER_SYCL
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// Clang
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#elif defined(__clang__)
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# if defined(__apple_build_version__)
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@ -15,6 +15,7 @@ This library works perfectly with *[OpenGL](https://www.opengl.org)* but it also
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- [LLVM](http://llvm.org/) 3.4 and higher
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- [Visual C++](http://www.visualstudio.com/) 2013 and higher
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- [CUDA](https://developer.nvidia.com/about-cuda) 7.0 and higher (experimental)
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- [SYCL](https://www.khronos.org/sycl/) (experimental: only [ComputeCpp](https://codeplay.com/products/computesuite/computecpp) implementation has been tested).
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- Any C++11 compiler
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For more information about *GLM*, please have a look at the [manual](manual.md) and the [API reference documentation](http://glm.g-truc.net/0.9.8/api/index.html).
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