AI-MXNetCAPI

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Makefile.PL  view on Meta::CPAN

    LICENSE         => 'apache_2_0',
    AUTHOR          => 'Sergey Kolychev <sergeykolychev.github@gmail.com>',
    VERSION_FROM    => 'lib/AI/MXNetCAPI.pm',
    ABSTRACT_FROM   => 'lib/AI/MXNetCAPI.pm',
    LIBS           => ['-L../../lib -lmxnet'],
    INC            => '-I../../include/mxnet',
    OBJECT         => 'mxnet_wrap.o',
    LDDLFLAGS      => join(' ', @lddlflags),
    PREREQ_PM      => {
        # prereqs
        # build/test prereqs
        'Test::More'   => 0,
    },
    PL_FILES        => {},
);

README  view on Meta::CPAN

=====================

Swig interface to MXNet c api.

INSTALLATION

To install this module type the following:

   perl Makefile.PL
   make
   make test
   make install

DEPENDENCIES

This module requires mxnet http://mxnet.io
It's used by AI::MXNet

COPYRIGHT AND LICENCE

Copyright (C) 2017 by Sergey Kolychev <sergeykolychev.github@gmail.com>

mxnet.i  view on Meta::CPAN

int MXImperativeInvoke(AtomicSymbolCreator in,
                                 int num_inputs,
                                 NDArrayHandle *in,
                                 int *out_size,
                                 NDArrayHandle **out_array,
                                 int num_params,
                                 const char **keys,
                                 const char **vals);
/*!
 * \brief set whether to record operator for autograd
 * \param is_train 1 when training, 0 when testing
 * \param prev returns the previous status before this set.
 * \return 0 when success, -1 when failure happens
 */
int MXAutogradSetIsTraining(int is_training, int* out);
/*!
 * \brief mark NDArrays as variables to compute gradient for autograd
 * \param num_var number of variable NDArrays
 * \param var_handles variable NDArrays
 * \return 0 when success, -1 when failure happens
 */

t/AI-MXNetCAPI.t  view on Meta::CPAN

use strict;
use warnings;
use Test::More tests => 1;
BEGIN { use_ok('AI::MXNetCAPI') };