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sci-libs/mxnet

Flexible and Efficient Library for Deep Learning

Screenshots

  • mxnet-9999
    -* ~amd64 ~x86 ~amd64-linux ~x86-linux
    cuda distributed opencv openmp python +mxnet_blas_mkl mxnet_blas_openblas mxnet_blas_atlas python_targets_python2_7 python_targets_python3_4 python_targets_python3_5 python_targets_python3_6

    View      Download      Browse     License: Apache-2.0   
    Overlay: pigfoot (layman)
  • mxnet-9999
    cuda cudnn distributed examples jemalloc lapack mkldnn opencv openmp python tcmalloc test python_targets_python2_7 python_targets_python3_5 python_targets_python3_6

    View      Download      Browse     License: Apache-2.0   
    Overlay: junkdrawer (layman)

USE Flags

cuda
Global: Build CUDA binaries.
distributed
* This flag is undocumented *
opencv
* This flag is undocumented *
openmp
Global: Build support for the OpenMP (support parallel computing), requires >=sys-devel/gcc-4.2 built with USE="openmp"
python
Global: Adds support/bindings for the Python language
+mxnet_blas_mkl
* This flag is undocumented *
mxnet_blas_openblas
* This flag is undocumented *
mxnet_blas_atlas
* This flag is undocumented *
python_targets_python2_7
* This flag is undocumented *
python_targets_python3_4
* This flag is undocumented *
python_targets_python3_5
* This flag is undocumented *
python_targets_python3_6
* This flag is undocumented *
cudnn
* This flag is undocumented *
examples
Global: Install examples, usually source code
jemalloc
* This flag is undocumented *
lapack
Global: Adds support for the virtual/lapack numerical library
mkldnn
* This flag is undocumented *
tcmalloc
Global: Use the dev-util/google-perftools libraries to replace the malloc() implementation with a possibly faster one.
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