var searchData=
[
  ['accuracy',['Accuracy',['../classsinga_1_1Accuracy.html',1,'singa']]],
  ['adagrad',['AdaGrad',['../classsinga_1_1AdaGrad.html',1,'singa']]],
  ['add',['Add',['../classsinga_1_1FeedForwardNet.html#a3802c112004a7587c6f61ef07c6fb776',1,'singa::FeedForwardNet::Add(std::shared_ptr&lt; Layer &gt; layer)'],['../classsinga_1_1FeedForwardNet.html#a063475b1cbd8a7345c9dd5fb31fe60be',1,'singa::FeedForwardNet::Add(const LayerConf &amp;conf, const Shape *sample_shape=nullptr)']]],
  ['addcolumn',['AddColumn',['../namespacesinga.html#a554727b758d0cbd7f21cd94e65f18f93',1,'singa::AddColumn(const Tensor &amp;v, Tensor *M)'],['../namespacesinga.html#ab99174091f942384e0aa5cdbb4d493cc',1,'singa::AddColumn(const SType alpha, const SType beta, const Tensor &amp;v, Tensor *out)']]],
  ['addrow',['AddRow',['../namespacesinga.html#a0cbe7f264403cb0e91f86ca216ec2710',1,'singa::AddRow(const Tensor &amp;v, Tensor *out)'],['../namespacesinga.html#a1b7c2d0ce4c0b704d2719d93f0251e76',1,'singa::AddRow(const SType alpha, const SType beta, const Tensor &amp;v, Tensor *M)']]],
  ['apply',['Apply',['../classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539',1,'singa::Optimizer::Apply(int epoch, float lr, const string &amp;name, Tensor &amp;grad, Tensor &amp;value, int step=-1)=0'],['../classsinga_1_1Optimizer.html#a23eb982f713174589788369a0316e81d',1,'singa::Optimizer::Apply(int epoch, const string &amp;name, Tensor &amp;grad, Tensor &amp;value, int step=-1)'],['../classsinga_1_1Constraint.html#afeea35b7cc9bbceb9973d9918b70d211',1,'singa::Constraint::Apply(int epoch, const Tensor &amp;value, Tensor &amp;grad, int step=-1)'],['../classsinga_1_1Constraint.html#ab6b7bc7abeb5d6d14be0839193e377c1',1,'singa::Constraint::Apply(int epoch, const vector&lt; Tensor &gt; &amp;values, const vector&lt; Tensor &gt; &amp;grads, int step=-1)'],['../classsinga_1_1Regularizer.html#a0a0def23a8d3efdf2d2a9025065fc7da',1,'singa::Regularizer::Apply(int epoch, const Tensor &amp;value, Tensor &amp;grad, int step=-1)'],['../classsinga_1_1Regularizer.html#ad791f45a06572dd88a0ab092ddd125f1',1,'singa::Regularizer::Apply(int epoch, const vector&lt; Tensor &gt; &amp;values, const vector&lt; Tensor &gt; &amp;grads, int step=-1)'],['../classsinga_1_1SGD.html#ac73356906d1ca127d7d13c376b5edafe',1,'singa::SGD::Apply()'],['../classsinga_1_1Nesterov.html#a6551a089c8073dd13b27d59b06ccf2eb',1,'singa::Nesterov::Apply()'],['../classsinga_1_1AdaGrad.html#ac9b378fe7ae88f88e45b817f89871f69',1,'singa::AdaGrad::Apply()'],['../classsinga_1_1RMSProp.html#a2b83ee5006967e91eed435c6adcf782d',1,'singa::RMSProp::Apply()'],['../classsinga_1_1Updater.html#ac07c0e7cd69b631244b7c2c4bb90c0ec',1,'singa::Updater::Apply()'],['../classsinga_1_1LocalUpdater.html#a700d688de66ac310dcaa93d0ce9adeb2',1,'singa::LocalUpdater::Apply()']]],
  ['astype',['AsType',['../classsinga_1_1Tensor.html#acfe6d1399951598288a04531fba1a904',1,'singa::Tensor::AsType()'],['../classsinga_1_1FeedForwardNet.html#a554d848ec434290b2de971c91c0f2e83',1,'singa::FeedForwardNet::AsType()'],['../classsinga_1_1Layer.html#a2cccba7a2b3a1bed714f9be2b8b4d520',1,'singa::Layer::AsType()']]],
  ['average',['Average',['../namespacesinga.html#a9a8ade3c623ecb13de53f14da2728df8',1,'singa']]],
  ['axpy',['Axpy',['../namespacesinga.html#a7389cb7b91f0265c19f0968b02c8245b',1,'singa']]]
];