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dev-cpp/tiny-dnn

header only, dependency-free deep learning framework in C++14

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  • tiny-dnn-1.0.0_alpha3
    ~amd64
    cpu_flags_x86_avx cpu_flags_x86_avx2 cpu_flags_x86_sse double-precision opencl openmp +serialization tbb test doc

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    Overlay: guru

USE Flags

cpu_flags_x86_avx
* This flag is undocumented *
cpu_flags_x86_avx2
* This flag is undocumented *
cpu_flags_x86_sse
* This flag is undocumented *
double-precision
Global: more precise calculations at the expense of speed
opencl
Global: Build OpenCL binaries.
openmp
Global: Build support for the OpenMP (support parallel computing), requires >=sys-devel/gcc-4.2 built with USE="openmp"
+serialization
* This flag is undocumented *
tbb
Global: Enable multithreading with the Intel Threads Building Block (needs dev-cpp/tbb)
test
Global: Workaround to pull in packages needed to run with FEATURES=test. Portage-2.1.2 handles this internally, so don't set it in make.conf/package.use anymore
doc
Global: Adds extra documentation (API, Javadoc, etc)