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Posted to commits@mxnet.apache.org by li...@apache.org on 2018/02/26 22:41:04 UTC
[incubator-mxnet-site] branch asf-site updated: Reverting state
before execution of faulty website build
This is an automated email from the ASF dual-hosted git repository.
liuyizhi pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 2e4bb68 Reverting state before execution of faulty website build
2e4bb68 is described below
commit 2e4bb6867ad13de85a2f9264738f77cccfb14f8d
Author: Yizhi Liu <yi...@amazon.com>
AuthorDate: Mon Feb 26 14:40:27 2018 -0800
Reverting state before execution of faulty website build
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versions/master/tutorials/basic/data.html | 4 +-
versions/master/tutorials/basic/image_io.html | 4 +-
versions/master/tutorials/basic/module.html | 4 +-
versions/master/tutorials/basic/ndarray.html | 4 +-
.../master/tutorials/basic/ndarray_indexing.html | 4 +-
versions/master/tutorials/basic/record_io.html | 4 +-
versions/master/tutorials/basic/symbol.html | 4 +-
versions/master/tutorials/c++/basics.html | 4 +-
.../master/tutorials/embedded/wine_detector.html | 4 +-
versions/master/tutorials/gluon/autograd.html | 4 +-
versions/master/tutorials/gluon/customop.html | 4 +-
versions/master/tutorials/gluon/gluon.html | 4 +-
versions/master/tutorials/gluon/hybrid.html | 4 +-
versions/master/tutorials/gluon/mnist.html | 4 +-
versions/master/tutorials/gluon/ndarray.html | 4 +-
versions/master/tutorials/index.html | 4 +-
versions/master/tutorials/nlp/cnn.html | 4 +-
versions/master/tutorials/python/kvstore.html | 4 +-
.../master/tutorials/python/linear-regression.html | 4 +-
.../tutorials/python/matrix_factorization.html | 4 +-
versions/master/tutorials/python/mnist.html | 4 +-
.../master/tutorials/python/predict_image.html | 4 +-
versions/master/tutorials/r/CallbackFunction.html | 4 +-
versions/master/tutorials/r/CustomIterator.html | 4 +-
.../master/tutorials/r/CustomLossFunction.html | 4 +-
versions/master/tutorials/r/charRnnModel.html | 4 +-
.../r/classifyRealImageWithPretrainedModel.html | 4 +-
.../tutorials/r/fiveMinutesNeuralNetwork.html | 4 +-
versions/master/tutorials/r/index.html | 4 +-
versions/master/tutorials/r/mnistCompetition.html | 4 +-
versions/master/tutorials/r/ndarray.html | 4 +-
versions/master/tutorials/r/symbol.html | 4 +-
versions/master/tutorials/scala/char_lstm.html | 4 +-
versions/master/tutorials/scala/mnist.html | 4 +-
.../tutorials/scala/mxnet_scala_on_intellij.html | 4 +-
versions/master/tutorials/sparse/csr.html | 4 +-
versions/master/tutorials/sparse/row_sparse.html | 4 +-
versions/master/tutorials/sparse/train.html | 4 +-
.../master/tutorials/speech_recognition/ctc.html | 4 +-
.../unsupervised_learning/auto_encoders.html | 4 +-
.../tutorials/unsupervised_learning/gan.html | 4 +-
.../vision/large_scale_classification.html | 4 +-
3623 files changed, 11856 insertions(+), 484638 deletions(-)
diff --git a/README.html b/README.html
index 4d065ab..557892c 100644
--- a/README.html
+++ b/README.html
@@ -59,6 +59,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="./install/index.html">Install</a>
+<a class="main-nav-link" href="./tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -80,12 +81,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="./tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="./faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="./architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="./api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="./model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -94,10 +94,10 @@
<li><a class="main-nav-link" href="./community/index.html">Community</a></li>
<li><a class="main-nav-link" href="./community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="./community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "./" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -135,13 +135,13 @@
<li><a href="./tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="./faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="./architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="./api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="./model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="./architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -313,7 +313,7 @@ Although this will not happen often, we can use it to rebuld whole website and p
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/index.html b/_modules/index.html
index 806b636..63b66c6 100644
--- a/_modules/index.html
+++ b/_modules/index.html
@@ -59,6 +59,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../install/index.html">Install</a>
+<a class="main-nav-link" href="../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -80,12 +81,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -94,10 +94,10 @@
<li><a class="main-nav-link" href="../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -135,13 +135,13 @@
<li><a href="../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -205,9 +205,6 @@
<h1>All modules for which code is available</h1>
<ul><li><a href="mxnet/autograd.html">mxnet.autograd</a></li>
<li><a href="mxnet/callback.html">mxnet.callback</a></li>
-<li><a href="mxnet/contrib/text/embedding.html">mxnet.contrib.text.embedding</a></li>
-<li><a href="mxnet/contrib/text/utils.html">mxnet.contrib.text.utils</a></li>
-<li><a href="mxnet/contrib/text/vocab.html">mxnet.contrib.text.vocab</a></li>
<li><a href="mxnet/executor.html">mxnet.executor</a></li>
<li><a href="mxnet/executor_manager.html">mxnet.executor_manager</a></li>
<li><a href="mxnet/gluon/block.html">mxnet.gluon.block</a></li>
@@ -216,7 +213,7 @@
<li><a href="mxnet/gluon/data/dataloader.html">mxnet.gluon.data.dataloader</a></li>
<li><a href="mxnet/gluon/data/dataset.html">mxnet.gluon.data.dataset</a></li>
<li><a href="mxnet/gluon/data/sampler.html">mxnet.gluon.data.sampler</a></li>
-<li><a href="mxnet/gluon/data/vision/datasets.html">mxnet.gluon.data.vision.datasets</a></li>
+<li><a href="mxnet/gluon/data/vision.html">mxnet.gluon.data.vision</a></li>
<li><a href="mxnet/gluon/loss.html">mxnet.gluon.loss</a></li>
<li><a href="mxnet/gluon/model_zoo/vision.html">mxnet.gluon.model_zoo.vision</a></li>
<ul><li><a href="mxnet/gluon/model_zoo/vision/alexnet.html">mxnet.gluon.model_zoo.vision.alexnet</a></li>
@@ -226,8 +223,7 @@
<li><a href="mxnet/gluon/model_zoo/vision/resnet.html">mxnet.gluon.model_zoo.vision.resnet</a></li>
<li><a href="mxnet/gluon/model_zoo/vision/squeezenet.html">mxnet.gluon.model_zoo.vision.squeezenet</a></li>
<li><a href="mxnet/gluon/model_zoo/vision/vgg.html">mxnet.gluon.model_zoo.vision.vgg</a></li>
-</ul><li><a href="mxnet/gluon/nn/activations.html">mxnet.gluon.nn.activations</a></li>
-<li><a href="mxnet/gluon/nn/basic_layers.html">mxnet.gluon.nn.basic_layers</a></li>
+</ul><li><a href="mxnet/gluon/nn/basic_layers.html">mxnet.gluon.nn.basic_layers</a></li>
<li><a href="mxnet/gluon/nn/conv_layers.html">mxnet.gluon.nn.conv_layers</a></li>
<li><a href="mxnet/gluon/parameter.html">mxnet.gluon.parameter</a></li>
<li><a href="mxnet/gluon/rnn/rnn_cell.html">mxnet.gluon.rnn.rnn_cell</a></li>
@@ -247,8 +243,169 @@
<li><a href="mxnet/module/module.html">mxnet.module.module</a></li>
<li><a href="mxnet/module/python_module.html">mxnet.module.python_module</a></li>
<li><a href="mxnet/module/sequential_module.html">mxnet.module.sequential_module</a></li>
+<li><a href="mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet [...]
+<li><a href="mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet [...]
+<li><a href="mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet [...]
+<li><a href="mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet [...]
+<li><a href="mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet/mxnet [...]
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+<li><a href="mxnet/mxnet/mxnet/mxnet/mxnet/symbol/contrib/contrib/contrib/contrib/contrib.html">mxnet.mxnet.mxnet.mxnet.mxnet.symbol.contrib.contrib.contrib.contrib.contrib</a></li>
+<li><a href="mxnet/mxnet/mxnet/mxnet/ndarray/contrib/contrib/contrib/contrib.html">mxnet.mxnet.mxnet.mxnet.ndarray.contrib.contrib.contrib.contrib</a></li>
+<li><a href="mxnet/mxnet/mxnet/mxnet/symbol/contrib/contrib/contrib/contrib.html">mxnet.mxnet.mxnet.mxnet.symbol.contrib.contrib.contrib.contrib</a></li>
+<li><a href="mxnet/mxnet/mxnet/ndarray/contrib/contrib/contrib.html">mxnet.mxnet.mxnet.ndarray.contrib.contrib.contrib</a></li>
+<li><a href="mxnet/mxnet/mxnet/symbol/contrib/contrib/contrib.html">mxnet.mxnet.mxnet.symbol.contrib.contrib.contrib</a></li>
+<li><a href="mxnet/mxnet/ndarray/contrib/contrib.html">mxnet.mxnet.ndarray.contrib.contrib</a></li>
+<li><a href="mxnet/mxnet/symbol/contrib/contrib.html">mxnet.mxnet.symbol.contrib.contrib</a></li>
<li><a href="mxnet/ndarray/contrib.html">mxnet.ndarray.contrib</a></li>
-<li><a href="mxnet/ndarray/linalg.html">mxnet.ndarray.linalg</a></li>
<li><a href="mxnet/ndarray/ndarray.html">mxnet.ndarray.ndarray</a></li>
<li><a href="mxnet/ndarray/random.html">mxnet.ndarray.random</a></li>
<li><a href="mxnet/ndarray/sparse.html">mxnet.ndarray.sparse</a></li>
@@ -261,9 +418,7 @@
<li><a href="mxnet/rnn/rnn_cell.html">mxnet.rnn.rnn_cell</a></li>
<li><a href="mxnet/rtc.html">mxnet.rtc</a></li>
<li><a href="mxnet/symbol/contrib.html">mxnet.symbol.contrib</a></li>
-<li><a href="mxnet/symbol/linalg.html">mxnet.symbol.linalg</a></li>
<li><a href="mxnet/symbol/random.html">mxnet.symbol.random</a></li>
-<li><a href="mxnet/symbol/sparse.html">mxnet.symbol.sparse</a></li>
<li><a href="mxnet/symbol/symbol.html">mxnet.symbol.symbol</a></li>
<li><a href="ndarray.html">ndarray</a></li>
<li><a href="symbol.html">symbol</a></li>
@@ -283,7 +438,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/autograd.html b/_modules/mxnet/autograd.html
index bb1c45d..4ea6936 100644
--- a/_modules/mxnet/autograd.html
+++ b/_modules/mxnet/autograd.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -578,7 +578,7 @@
<span class="sd"> For example, a stable sigmoid function can be defined as::</span>
-<span class="sd"> class sigmoid(mx.autograd.Function):</span>
+<span class="sd"> class sigmoid(Function):</span>
<span class="sd"> def forward(self, x):</span>
<span class="sd"> y = 1 / (1 + mx.nd.exp(-x))</span>
<span class="sd"> self.save_for_backward(y)</span>
@@ -589,18 +589,6 @@
<span class="sd"> # and returns as many NDArrays as forward's arguments.</span>
<span class="sd"> y, = self.saved_tensors</span>
<span class="sd"> return y * (1-y)</span>
-
-<span class="sd"> Then, the function can be used in the following way::</span>
-
-<span class="sd"> func = sigmoid()</span>
-<span class="sd"> x = mx.nd.random.uniform(shape=(10,))</span>
-<span class="sd"> x.attach_grad()</span>
-
-<span class="sd"> with mx.autograd.record():</span>
-<span class="sd"> m = func(x)</span>
-<span class="sd"> m.backward()</span>
-<span class="sd"> dx = x.grad.asnumpy()</span>
-
<span class="sd"> """</span>
<span class="n">_bwd_functype</span> <span class="o">=</span> <span class="n">CFUNCTYPE</span><span class="p">(</span><span class="n">c_int</span><span class="p">,</span> <span class="n">c_int</span><span class="p">,</span> <span class="n">c_int</span><span class="p">,</span> <span class="n">POINTER</span><span class="p">(</span><span class="n">c_void_p</span><span class="p">),</span>
<span class="n">POINTER</span><span class="p">(</span><span class="n">c_int</span><span class="p">),</span> <span class="n">c_int</span><span class="p">,</span> <span class="n">c_void_p</span><span class="p">)</span>
@@ -668,7 +656,7 @@
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">ret</span><span class="p">,</span> <span class="n">NDArray</span><span class="p">),</span> \
<span class="s2">"autograd.Function.backward must return NDArrays, not </span><span class="si">%s</span><span class="s2">"</span><span class="o">%</span><span class="nb">type</span><span class="p">(</span><span class="n">ret</span><span class="p">)</span>
<span class="k">if</span> <span class="n">req</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> <span class="c1"># null</span>
- <span class="k">return</span> <span class="bp">True</span>
+ <span class="k">return</span>
<span class="k">elif</span> <span class="n">req</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">or</span> <span class="n">req</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span> <span class="c1"># write or inplace</span>
<span class="n">igrad</span><span class="p">[:]</span> <span class="o">=</span> <span class="n">ret</span>
<span class="k">elif</span> <span class="n">req</span> <span class="o">==</span> <span class="s1">'add'</span><span class="p">:</span>
@@ -733,7 +721,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/callback.html b/_modules/mxnet/callback.html
index 3673b76..31e05e9 100644
--- a/_modules/mxnet/callback.html
+++ b/_modules/mxnet/callback.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -434,7 +434,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/contrib/text/embedding.html b/_modules/mxnet/contrib/text/embedding.html
deleted file mode 100644
index 097f6b7..0000000
--- a/_modules/mxnet/contrib/text/embedding.html
+++ /dev/null
@@ -1,1022 +0,0 @@
-<!DOCTYPE html>
-
-<html lang="en">
-<head>
-<meta charset="utf-8"/>
-<meta content="IE=edge" http-equiv="X-UA-Compatible"/>
-<meta content="width=device-width, initial-scale=1" name="viewport"/>
-<title>mxnet.contrib.text.embedding — mxnet documentation</title>
-<link crossorigin="anonymous" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap.min.css" integrity="sha384-1q8mTJOASx8j1Au+a5WDVnPi2lkFfwwEAa8hDDdjZlpLegxhjVME1fgjWPGmkzs7" rel="stylesheet"/>
-<link href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css" rel="stylesheet"/>
-<link href="../../../../_static/basic.css" rel="stylesheet" type="text/css">
-<link href="../../../../_static/pygments.css" rel="stylesheet" type="text/css">
-<link href="../../../../_static/mxnet.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT: '../../../../',
- VERSION: '',
- COLLAPSE_INDEX: false,
- FILE_SUFFIX: '.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: ''
- };
- </script>
-<script src="https://code.jquery.com/jquery-1.11.1.min.js" type="text/javascript"></script>
-<script src="../../../../_static/underscore.js" type="text/javascript"></script>
-<script src="../../../../_static/searchtools_custom.js" type="text/javascript"></script>
-<script src="../../../../_static/doctools.js" type="text/javascript"></script>
-<script src="../../../../_static/selectlang.js" type="text/javascript"></script>
-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML" type="text/javascript"></script>
-<script type="text/javascript"> jQuery(function() { Search.loadIndex("/searchindex.js"); Search.init();}); </script>
-<script>
- (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
- (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new
- Date();a=s.createElement(o),
- m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
- })(window,document,'script','https://www.google-analytics.com/analytics.js','ga');
-
- ga('create', 'UA-96378503-1', 'auto');
- ga('send', 'pageview');
-
- </script>
-<!-- -->
-<!-- <script type="text/javascript" src="../../../../_static/jquery.js"></script> -->
-<!-- -->
-<!-- <script type="text/javascript" src="../../../../_static/underscore.js"></script> -->
-<!-- -->
-<!-- <script type="text/javascript" src="../../../../_static/doctools.js"></script> -->
-<!-- -->
-<!-- <script type="text/javascript" src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script> -->
-<!-- -->
-<link href="../../../index.html" rel="up" title="Module code">
-<link href="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet-icon.png" rel="icon" type="image/png"/>
-</link></link></link></head>
-<body background="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet-background-compressed.jpeg" role="document">
-<div class="content-block"><div class="navbar navbar-fixed-top">
-<div class="container" id="navContainer">
-<div class="innder" id="header-inner">
-<h1 id="logo-wrap">
-<a href="../../../../" id="logo"><img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet_logo.png"/></a>
-</h1>
-<nav class="nav-bar" id="main-nav">
-<a class="main-nav-link" href="../../../../install/index.html">Install</a>
-<span id="dropdown-menu-position-anchor">
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-<h1>Source code for mxnet.contrib.text.embedding</h1><div class="highlight"><pre>
-<span></span><span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span>
-<span class="c1"># or more contributor license agreements. See the NOTICE file</span>
-<span class="c1"># distributed with this work for additional information</span>
-<span class="c1"># regarding copyright ownership. The ASF licenses this file</span>
-<span class="c1"># to you under the Apache License, Version 2.0 (the</span>
-<span class="c1"># "License"); you may not use this file except in compliance</span>
-<span class="c1"># with the License. You may obtain a copy of the License at</span>
-<span class="c1">#</span>
-<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
-<span class="c1">#</span>
-<span class="c1"># Unless required by applicable law or agreed to in writing,</span>
-<span class="c1"># software distributed under the License is distributed on an</span>
-<span class="c1"># "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span>
-<span class="c1"># KIND, either express or implied. See the License for the</span>
-<span class="c1"># specific language governing permissions and limitations</span>
-<span class="c1"># under the License.</span>
-
-<span class="c1"># coding: utf-8</span>
-<span class="c1"># pylint: disable=consider-iterating-dictionary</span>
-<span class="c1"># pylint: disable=super-init-not-called</span>
-
-<span class="sd">"""Text token embeddings."""</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">absolute_import</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">print_function</span>
-
-<span class="kn">import</span> <span class="nn">io</span>
-<span class="kn">import</span> <span class="nn">logging</span>
-<span class="kn">import</span> <span class="nn">os</span>
-<span class="kn">import</span> <span class="nn">tarfile</span>
-<span class="kn">import</span> <span class="nn">warnings</span>
-<span class="kn">import</span> <span class="nn">zipfile</span>
-
-<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">_constants</span> <span class="k">as</span> <span class="n">C</span>
-<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">vocab</span>
-<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">ndarray</span> <span class="k">as</span> <span class="n">nd</span>
-<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">registry</span>
-
-
-<div class="viewcode-block" id="register"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.register">[docs]</a><span class="k">def</span> <span class="nf">register</span><span class="p">(</span><span class="n">embedding_cls</span><span class="p">):</span>
- <span class="sd">"""Registers a new token embedding.</span>
-
-
-<span class="sd"> Once an embedding is registered, we can create an instance of this embedding with</span>
-<span class="sd"> :func:`~mxnet.contrib.text.embedding.create`.</span>
-
-
-<span class="sd"> Examples</span>
-<span class="sd"> --------</span>
-<span class="sd"> >>> @mxnet.contrib.text.embedding.register</span>
-<span class="sd"> ... class MyTextEmbed(mxnet.contrib.text.embedding._TokenEmbedding):</span>
-<span class="sd"> ... def __init__(self, pretrained_file_name='my_pretrain_file'):</span>
-<span class="sd"> ... pass</span>
-<span class="sd"> >>> embed = mxnet.contrib.text.embedding.create('MyTokenEmbed')</span>
-<span class="sd"> >>> print(type(embed))</span>
-<span class="sd"> <class '__main__.MyTokenEmbed'></span>
-<span class="sd"> """</span>
-
- <span class="n">register_text_embedding</span> <span class="o">=</span> <span class="n">registry</span><span class="o">.</span><span class="n">get_register_func</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">,</span> <span class="s1">'token embedding'</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">register_text_embedding</span><span class="p">(</span><span class="n">embedding_cls</span><span class="p">)</span></div>
-
-
-<div class="viewcode-block" id="create"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.create">[docs]</a><span class="k">def</span> <span class="nf">create</span><span class="p">(</span><span class="n">embedding_name</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="sd">"""Creates an instance of token embedding.</span>
-
-
-<span class="sd"> Creates a token embedding instance by loading embedding vectors from an externally hosted</span>
-<span class="sd"> pre-trained token embedding file, such as those of GloVe and FastText. To get all the valid</span>
-<span class="sd"> `embedding_name` and `pretrained_file_name`, use</span>
-<span class="sd"> `mxnet.contrib.text.embedding.get_pretrained_file_names()`.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> embedding_name : str</span>
-<span class="sd"> The token embedding name (case-insensitive).</span>
-
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> An instance of `mxnet.contrib.text.glossary._TokenEmbedding`:</span>
-<span class="sd"> A token embedding instance that loads embedding vectors from an externally hosted</span>
-<span class="sd"> pre-trained token embedding file.</span>
-<span class="sd"> """</span>
-
- <span class="n">create_text_embedding</span> <span class="o">=</span> <span class="n">registry</span><span class="o">.</span><span class="n">get_create_func</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">,</span> <span class="s1">'token embedding'</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">create_text_embedding</span><span class="p">(</span><span class="n">embedding_name</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
-
-<div class="viewcode-block" id="get_pretrained_file_names"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.get_pretrained_file_names">[docs]</a><span class="k">def</span> <span class="nf">get_pretrained_file_names</span><span class="p">(</span><span class="n">embedding_name</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
- <span class="sd">"""Get valid token embedding names and their pre-trained file names.</span>
-
-
-<span class="sd"> To load token embedding vectors from an externally hosted pre-trained token embedding file,</span>
-<span class="sd"> such as those of GloVe and FastText, one should use</span>
-<span class="sd"> `mxnet.contrib.text.embedding.create(embedding_name, pretrained_file_name)`.</span>
-<span class="sd"> This method returns all the valid names of `pretrained_file_name` for the specified</span>
-<span class="sd"> `embedding_name`. If `embedding_name` is set to None, this method returns all the valid</span>
-<span class="sd"> names of `embedding_name` with their associated `pretrained_file_name`.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> embedding_name : str or None, default None</span>
-<span class="sd"> The pre-trained token embedding name.</span>
-
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> dict or list:</span>
-<span class="sd"> A list of all the valid pre-trained token embedding file names (`pretrained_file_name`)</span>
-<span class="sd"> for the specified token embedding name (`embedding_name`). If the text embeding name is</span>
-<span class="sd"> set to None, returns a dict mapping each valid token embedding name to a list of valid</span>
-<span class="sd"> pre-trained files (`pretrained_file_name`). They can be plugged into</span>
-<span class="sd"> `mxnet.contrib.text.embedding.create(embedding_name,</span>
-<span class="sd"> pretrained_file_name)`.</span>
-<span class="sd"> """</span>
-
- <span class="n">text_embedding_reg</span> <span class="o">=</span> <span class="n">registry</span><span class="o">.</span><span class="n">get_registry</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">)</span>
-
- <span class="k">if</span> <span class="n">embedding_name</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
- <span class="k">if</span> <span class="n">embedding_name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">text_embedding_reg</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="s1">'Cannot find `embedding_name` </span><span class="si">%s</span><span class="s1">. Use '</span>
- <span class="s1">'`get_pretrained_file_names('</span>
- <span class="s1">'embedding_name=None).keys()` to get all the valid embedding '</span>
- <span class="s1">'names.'</span> <span class="o">%</span> <span class="n">embedding_name</span><span class="p">)</span>
- <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">text_embedding_reg</span><span class="p">[</span><span class="n">embedding_name</span><span class="p">]</span><span class="o">.</span><span class="n">pretrained_file_name_sha1</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">return</span> <span class="p">{</span><span class="n">embedding_name</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="n">embedding_cls</span><span class="o">.</span><span class="n">pretrained_file_name_sha1</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
- <span class="k">for</span> <span class="n">embedding_name</span><span class="p">,</span> <span class="n">embedding_cls</span> <span class="ow">in</span> <span class="n">registry</span><span class="o">.</span><span class="n">get_registry</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">)</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span></div>
-
-
-<span class="k">class</span> <span class="nc">_TokenEmbedding</span><span class="p">(</span><span class="n">vocab</span><span class="o">.</span><span class="n">Vocabulary</span><span class="p">):</span>
- <span class="sd">"""Token embedding base class.</span>
-
-
-<span class="sd"> To load token embeddings from an externally hosted pre-trained token embedding file, such as</span>
-<span class="sd"> those of GloVe and FastText, use</span>
-<span class="sd"> :func:`~mxnet.contrib.text.embedding.create(embedding_name, pretrained_file_name)`.</span>
-<span class="sd"> To get all the available `embedding_name` and `pretrained_file_name`, use</span>
-<span class="sd"> :func:`~mxnet.contrib.text.embedding.get_pretrained_file_names()`.</span>
-
-<span class="sd"> Alternatively, to load embedding vectors from a custom pre-trained token embedding file, use</span>
-<span class="sd"> :class:`~mxnet.contrib.text.embedding.CustomEmbedding`.</span>
-
-<span class="sd"> Moreover, to load composite embedding vectors, such as to concatenate embedding vectors, use</span>
-<span class="sd"> :class:`~mxnet.contrib.text.embedding.CompositeEmbedding`.</span>
-
-<span class="sd"> For every unknown token, if its representation `self.unknown_token` is encountered in the</span>
-<span class="sd"> pre-trained token embedding file, index 0 of `self.idx_to_vec` maps to the pre-trained token</span>
-<span class="sd"> embedding vector loaded from the file; otherwise, index 0 of `self.idx_to_vec` maps to the</span>
-<span class="sd"> token embedding vector initialized by `init_unknown_vec`.</span>
-
-<span class="sd"> If a token is encountered multiple times in the pre-trained token embedding file, only the</span>
-<span class="sd"> first-encountered token embedding vector will be loaded and the rest will be skipped.</span>
-
-<span class="sd"> The indexed tokens in a text token embedding may come from a vocabulary or from the loaded</span>
-<span class="sd"> embedding vectors. In the former case, only the indexed tokens in a vocabulary are associated</span>
-<span class="sd"> with the loaded embedding vectors, such as loaded from a pre-trained token embedding file. In</span>
-<span class="sd"> the later case, all the tokens from the loaded embedding vectors, such as loaded from a</span>
-<span class="sd"> pre-trained token embedding file, are taken as the indexed tokens of the embedding.</span>
-
-
-<span class="sd"> Properties</span>
-<span class="sd"> ----------</span>
-<span class="sd"> token_to_idx : dict mapping str to int</span>
-<span class="sd"> A dict mapping each token to its index integer.</span>
-<span class="sd"> idx_to_token : list of strs</span>
-<span class="sd"> A list of indexed tokens where the list indices and the token indices are aligned.</span>
-<span class="sd"> unknown_token : hashable object</span>
-<span class="sd"> The representation for any unknown token. In other words, any unknown token will be indexed</span>
-<span class="sd"> as the same representation.</span>
-<span class="sd"> reserved_tokens : list of strs or None</span>
-<span class="sd"> A list of reserved tokens that will always be indexed.</span>
-<span class="sd"> vec_len : int</span>
-<span class="sd"> The length of the embedding vector for each token.</span>
-<span class="sd"> idx_to_vec : mxnet.ndarray.NDArray</span>
-<span class="sd"> For all the indexed tokens in this embedding, this NDArray maps each token's index to an</span>
-<span class="sd"> embedding vector. The largest valid index maps to the initialized embedding vector for every</span>
-<span class="sd"> reserved token, such as an unknown_token token and a padding token.</span>
-<span class="sd"> """</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
- <span class="nd">@classmethod</span>
- <span class="k">def</span> <span class="nf">_get_download_file_name</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">pretrained_file_name</span>
-
- <span class="nd">@classmethod</span>
- <span class="k">def</span> <span class="nf">_get_pretrained_file_url</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">):</span>
- <span class="n">repo_url</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'MXNET_GLUON_REPO'</span><span class="p">,</span> <span class="n">C</span><span class="o">.</span><span class="n">APACHE_REPO_URL</span><span class="p">)</span>
- <span class="n">embedding_cls</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
-
- <span class="n">url_format</span> <span class="o">=</span> <span class="s1">'{repo_url}gluon/embeddings/{cls}/{file_name}'</span>
- <span class="k">return</span> <span class="n">url_format</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">repo_url</span><span class="o">=</span><span class="n">repo_url</span><span class="p">,</span> <span class="bp">cls</span><span class="o">=</span><span class="n">embedding_cls</span><span class="p">,</span>
- <span class="n">file_name</span><span class="o">=</span><span class="bp">cls</span><span class="o">.</span><span class="n">_get_download_file_name</span><span class="p">(</span><span class="n">pretrained_file_name</span><span class="p">))</span>
-
- <span class="nd">@classmethod</span>
- <span class="k">def</span> <span class="nf">_get_pretrained_file</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">embedding_root</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">):</span>
- <span class="kn">from</span> <span class="nn">...gluon.utils</span> <span class="kn">import</span> <span class="n">check_sha1</span><span class="p">,</span> <span class="n">download</span>
- <span class="n">embedding_cls</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
- <span class="n">embedding_root</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">expanduser</span><span class="p">(</span><span class="n">embedding_root</span><span class="p">)</span>
- <span class="n">url</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_get_pretrained_file_url</span><span class="p">(</span><span class="n">pretrained_file_name</span><span class="p">)</span>
-
- <span class="n">embedding_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">embedding_root</span><span class="p">,</span> <span class="n">embedding_cls</span><span class="p">)</span>
- <span class="n">pretrained_file_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">embedding_dir</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">)</span>
- <span class="n">downloaded_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">url</span><span class="p">)</span>
- <span class="n">downloaded_file_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">embedding_dir</span><span class="p">,</span> <span class="n">downloaded_file</span><span class="p">)</span>
-
- <span class="n">expected_file_hash</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">pretrained_file_name_sha1</span><span class="p">[</span><span class="n">pretrained_file_name</span><span class="p">]</span>
-
- <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="s1">'pretrained_archive_name_sha1'</span><span class="p">):</span>
- <span class="n">expected_downloaded_hash</span> <span class="o">=</span> \
- <span class="bp">cls</span><span class="o">.</span><span class="n">pretrained_archive_name_sha1</span><span class="p">[</span><span class="n">downloaded_file</span><span class="p">]</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">expected_downloaded_hash</span> <span class="o">=</span> <span class="n">expected_file_hash</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">pretrained_file_path</span><span class="p">)</span> \
- <span class="ow">or</span> <span class="ow">not</span> <span class="n">check_sha1</span><span class="p">(</span><span class="n">pretrained_file_path</span><span class="p">,</span> <span class="n">expected_file_hash</span><span class="p">):</span>
- <span class="n">download</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">downloaded_file_path</span><span class="p">,</span> <span class="n">sha1_hash</span><span class="o">=</span><span class="n">expected_downloaded_hash</span><span class="p">)</span>
-
- <span class="n">ext</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">splitext</span><span class="p">(</span><span class="n">downloaded_file</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span>
- <span class="k">if</span> <span class="n">ext</span> <span class="o">==</span> <span class="s1">'.zip'</span><span class="p">:</span>
- <span class="k">with</span> <span class="n">zipfile</span><span class="o">.</span><span class="n">ZipFile</span><span class="p">(</span><span class="n">downloaded_file_path</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">)</span> <span class="k">as</span> <span class="n">zf</span><span class="p">:</span>
- <span class="n">zf</span><span class="o">.</span><span class="n">extractall</span><span class="p">(</span><span class="n">embedding_dir</span><span class="p">)</span>
- <span class="k">elif</span> <span class="n">ext</span> <span class="o">==</span> <span class="s1">'.gz'</span><span class="p">:</span>
- <span class="k">with</span> <span class="n">tarfile</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">downloaded_file_path</span><span class="p">,</span> <span class="s1">'r:gz'</span><span class="p">)</span> <span class="k">as</span> <span class="n">tar</span><span class="p">:</span>
- <span class="n">tar</span><span class="o">.</span><span class="n">extractall</span><span class="p">(</span><span class="n">path</span><span class="o">=</span><span class="n">embedding_dir</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">pretrained_file_path</span>
-
- <span class="k">def</span> <span class="nf">_load_embedding</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pretrained_file_path</span><span class="p">,</span> <span class="n">elem_delim</span><span class="p">,</span> <span class="n">init_unknown_vec</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s1">'utf8'</span><span class="p">):</span>
- <span class="sd">"""Load embedding vectors from the pre-trained token embedding file.</span>
-
-
-<span class="sd"> For every unknown token, if its representation `self.unknown_token` is encountered in the</span>
-<span class="sd"> pre-trained token embedding file, index 0 of `self.idx_to_vec` maps to the pre-trained token</span>
-<span class="sd"> embedding vector loaded from the file; otherwise, index 0 of `self.idx_to_vec` maps to the</span>
-<span class="sd"> text embedding vector initialized by `init_unknown_vec`.</span>
-
-<span class="sd"> If a token is encountered multiple times in the pre-trained text embedding file, only the</span>
-<span class="sd"> first-encountered token embedding vector will be loaded and the rest will be skipped.</span>
-<span class="sd"> """</span>
-
- <span class="n">pretrained_file_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">expanduser</span><span class="p">(</span><span class="n">pretrained_file_path</span><span class="p">)</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="n">pretrained_file_path</span><span class="p">):</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'`pretrained_file_path` must be a valid path to '</span>
- <span class="s1">'the pre-trained token embedding file.'</span><span class="p">)</span>
-
- <span class="n">logging</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'Loading pre-trained token embedding vectors from </span><span class="si">%s</span><span class="s1">'</span><span class="p">,</span> <span class="n">pretrained_file_path</span><span class="p">)</span>
- <span class="n">vec_len</span> <span class="o">=</span> <span class="bp">None</span>
- <span class="n">all_elems</span> <span class="o">=</span> <span class="p">[]</span>
- <span class="n">tokens</span> <span class="o">=</span> <span class="nb">set</span><span class="p">()</span>
- <span class="n">loaded_unknown_vec</span> <span class="o">=</span> <span class="bp">None</span>
- <span class="n">line_num</span> <span class="o">=</span> <span class="mi">0</span>
- <span class="k">with</span> <span class="n">io</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">pretrained_file_path</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="n">encoding</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
- <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">f</span><span class="p">:</span>
- <span class="n">line_num</span> <span class="o">+=</span> <span class="mi">1</span>
- <span class="n">elems</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">rstrip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">elem_delim</span><span class="p">)</span>
-
- <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">elems</span><span class="p">)</span> <span class="o">></span> <span class="mi">1</span><span class="p">,</span> <span class="s1">'At line </span><span class="si">%d</span><span class="s1"> of the pre-trained text embedding file: the '</span> \
- <span class="s1">'data format of the pre-trained token embedding file </span><span class="si">%s</span><span class="s1"> '</span> \
- <span class="s1">'is unexpected.'</span> <span class="o">%</span> <span class="p">(</span><span class="n">line_num</span><span class="p">,</span> <span class="n">pretrained_file_path</span><span class="p">)</span>
-
- <span class="n">token</span><span class="p">,</span> <span class="n">elems</span> <span class="o">=</span> <span class="n">elems</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="nb">float</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">elems</span><span class="p">[</span><span cla [...]
-
- <span class="k">if</span> <span class="n">token</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">unknown_token</span> <span class="ow">and</span> <span class="n">loaded_unknown_vec</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
- <span class="n">loaded_unknown_vec</span> <span class="o">=</span> <span class="n">elems</span>
- <span class="n">tokens</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">unknown_token</span><span class="p">)</span>
- <span class="k">elif</span> <span class="n">token</span> <span class="ow">in</span> <span class="n">tokens</span><span class="p">:</span>
- <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s1">'At line </span><span class="si">%d</span><span class="s1"> of the pre-trained token embedding file: the '</span>
- <span class="s1">'embedding vector for token </span><span class="si">%s</span><span class="s1"> has been loaded and a duplicate '</span>
- <span class="s1">'embedding for the same token is seen and skipped.'</span> <span class="o">%</span>
- <span class="p">(</span><span class="n">line_num</span><span class="p">,</span> <span class="n">token</span><span class="p">))</span>
- <span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">elems</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
- <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s1">'At line </span><span class="si">%d</span><span class="s1"> of the pre-trained text embedding file: token </span><span class="si">%s</span><span class="s1"> '</span>
- <span class="s1">'with 1-dimensional vector </span><span class="si">%s</span><span class="s1"> is likely a header and is '</span>
- <span class="s1">'skipped.'</span> <span class="o">%</span> <span class="p">(</span><span class="n">line_num</span><span class="p">,</span> <span class="n">token</span><span class="p">,</span> <span class="n">elems</span><span class="p">))</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">if</span> <span class="n">vec_len</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
- <span class="n">vec_len</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">elems</span><span class="p">)</span>
- <span class="c1"># Reserve a vector slot for the unknown token at the very beggining because</span>
- <span class="c1"># the unknown index is 0.</span>
- <span class="n">all_elems</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">vec_len</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">elems</span><span class="p">)</span> <span class="o">==</span> <span class="n">vec_len</span><span class="p">,</span> \
- <span class="s1">'At line </span><span class="si">%d</span><span class="s1"> of the pre-trained token embedding file: the dimension '</span> \
- <span class="s1">'of token </span><span class="si">%s</span><span class="s1"> is </span><span class="si">%d</span><span class="s1"> but the dimension of previous tokens is </span><span class="si">%d</span><span class="s1">. '</span> \
- <span class="s1">'Dimensions of all the tokens must be the same.'</span> \
- <span class="o">%</span> <span class="p">(</span><span class="n">line_num</span><span class="p">,</span> <span class="n">token</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">elems</span><span class="p">),</span> <span class="n">vec_len</span><span class="p">)</span>
- <span class="n">all_elems</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">elems</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">token</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_token_to_idx</span><span class="p">[</span><span class="n">token</span><span class="p">]</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
- <span class="n">tokens</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">token</span><span class="p">)</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">_vec_len</span> <span class="o">=</span> <span class="n">vec_len</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_vec</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">all_elems</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span clas [...]
-
- <span class="k">if</span> <span class="n">loaded_unknown_vec</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_vec</span><span class="p">[</span><span class="n">C</span><span class="o">.</span><span class="n">UNKNOWN_IDX</span><span class="p">]</span> <span class="o">=</span> <span class="n">init_unknown_vec</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">vec_len</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_vec</span><span class="p">[</span><span class="n">C</span><span class="o">.</span><span class="n">UNKNOWN_IDX</span><span class="p">]</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">loaded_unknown_vec</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">_index_tokens_from_vocabulary</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vocabulary</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_token_to_idx</span> <span class="o">=</span> <span class="n">vocabulary</span><span class="o">.</span><span class="n">token_to_idx</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> \
- <span class="k">if</span> <span class="n">vocabulary</span><span class="o">.</span><span class="n">token_to_idx</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span> <span class="k">else</span> <span class="bp">None</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span> <span class="o">=</span> <span class="n">vocabulary</span><span class="o">.</span><span class="n">idx_to_token</span><span class="p">[:]</span> \
- <span class="k">if</span> <span class="n">vocabulary</span><span class="o">.</span><span class="n">idx_to_token</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span> <span class="k">else</span> <span class="bp">None</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_unknown_token</span> <span class="o">=</span> <span class="n">vocabulary</span><span class="o">.</span><span class="n">unknown_token</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_reserved_tokens</span> <span class="o">=</span> <span class="n">vocabulary</span><span class="o">.</span><span class="n">reserved_tokens</span><span class="p">[:]</span> \
- <span class="k">if</span> <span class="n">vocabulary</span><span class="o">.</span><span class="n">reserved_tokens</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span> <span class="k">else</span> <span class="bp">None</span>
-
- <span class="k">def</span> <span class="nf">_set_idx_to_vec_by_embeddings</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">token_embeddings</span><span class="p">,</span> <span class="n">vocab_len</span><span class="p">,</span> <span class="n">vocab_idx_to_token</span><span class="p">):</span>
- <span class="sd">"""Sets the mapping between token indices and token embedding vectors.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> token_embeddings : instance or list `mxnet.contrib.text.embedding._TokenEmbedding`</span>
-<span class="sd"> One or multiple pre-trained token embeddings to load. If it is a list of multiple</span>
-<span class="sd"> embeddings, these embedding vectors will be concatenated for each token.</span>
-<span class="sd"> vocab_len : int</span>
-<span class="sd"> Length of vocabulary whose tokens are indexed in the token embedding.</span>
-<span class="sd"> vocab_idx_to_token: list of str</span>
-<span class="sd"> A list of indexed tokens in the vocabulary. These tokens are indexed in the token</span>
-<span class="sd"> embedding.</span>
-<span class="sd"> """</span>
-
- <span class="n">new_vec_len</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">embed</span><span class="o">.</span><span class="n">vec_len</span> <span class="k">for</span> <span class="n">embed</span> <span class="ow">in</span> <span class="n">token_embeddings</span><span class="p">)</span>
- <span class="n">new_idx_to_vec</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="n">vocab_len</span><span class="p">,</span> <span class="n">new_vec_len</span><span class="p">))</span>
-
- <span class="n">col_start</span> <span class="o">=</span> <span class="mi">0</span>
- <span class="c1"># Concatenate all the embedding vectors in token_embeddings.</span>
- <span class="k">for</span> <span class="n">embed</span> <span class="ow">in</span> <span class="n">token_embeddings</span><span class="p">:</span>
- <span class="n">col_end</span> <span class="o">=</span> <span class="n">col_start</span> <span class="o">+</span> <span class="n">embed</span><span class="o">.</span><span class="n">vec_len</span>
- <span class="c1"># Cancatenate vectors of the unknown token.</span>
- <span class="n">new_idx_to_vec</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="n">col_start</span><span class="p">:</span><span class="n">col_end</span><span class="p">]</span> <span class="o">=</span> <span class="n">embed</span><span class="o">.</span><span class="n">idx_to_vec</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
- <span class="n">new_idx_to_vec</span><span class="p">[</span><span class="mi">1</span><span class="p">:,</span> <span class="n">col_start</span><span class="p">:</span><span class="n">col_end</span><span class="p">]</span> <span class="o">=</span> <span class="n">embed</span><span class="o">.</span><span class="n">get_vecs_by_tokens</span><span class="p">(</span><span class="n">vocab_idx_to_token</span><span class="p">[</span><span class="mi">1</span><span class="p">:])</span>
- <span class="n">col_start</span> <span class="o">=</span> <span class="n">col_end</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">_vec_len</span> <span class="o">=</span> <span class="n">new_vec_len</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_vec</span> <span class="o">=</span> <span class="n">new_idx_to_vec</span>
-
- <span class="k">def</span> <span class="nf">_build_embedding_for_vocabulary</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vocabulary</span><span class="p">):</span>
- <span class="k">if</span> <span class="n">vocabulary</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
- <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">vocabulary</span><span class="p">,</span> <span class="n">vocab</span><span class="o">.</span><span class="n">Vocabulary</span><span class="p">),</span> \
- <span class="s1">'The argument `vocabulary` must be an instance of '</span> \
- <span class="s1">'mxnet.contrib.text.vocab.Vocabulary.'</span>
-
- <span class="c1"># Set _idx_to_vec so that indices of tokens from vocabulary are associated with the</span>
- <span class="c1"># loaded token embedding vectors.</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_set_idx_to_vec_by_embeddings</span><span class="p">([</span><span class="bp">self</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocabulary</span><span class="p">),</span> <span class="n">vocabulary</span><span class="o">.</span><span class="n">idx_to_token</span><span class="p">)</span>
-
- <span class="c1"># Index tokens from vocabulary.</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_index_tokens_from_vocabulary</span><span class="p">(</span><span class="n">vocabulary</span><span class="p">)</span>
-
- <span class="nd">@property</span>
- <span class="k">def</span> <span class="nf">vec_len</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_vec_len</span>
-
- <span class="nd">@property</span>
- <span class="k">def</span> <span class="nf">idx_to_vec</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_vec</span>
-
- <span class="k">def</span> <span class="nf">get_vecs_by_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tokens</span><span class="p">,</span> <span class="n">lower_case_backup</span><span class="o">=</span><span class="bp">False</span><span class="p">):</span>
- <span class="sd">"""Look up embedding vectors of tokens.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> tokens : str or list of strs</span>
-<span class="sd"> A token or a list of tokens.</span>
-<span class="sd"> lower_case_backup : bool, default False</span>
-<span class="sd"> If False, each token in the original case will be looked up; if True, each token in the</span>
-<span class="sd"> original case will be looked up first, if not found in the keys of the property</span>
-<span class="sd"> `token_to_idx`, the token in the lower case will be looked up.</span>
-
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> mxnet.ndarray.NDArray:</span>
-<span class="sd"> The embedding vector(s) of the token(s). According to numpy conventions, if `tokens` is</span>
-<span class="sd"> a string, returns a 1-D NDArray of shape `self.vec_len`; if `tokens` is a list of</span>
-<span class="sd"> strings, returns a 2-D NDArray of shape=(len(tokens), self.vec_len).</span>
-<span class="sd"> """</span>
-
- <span class="n">to_reduce</span> <span class="o">=</span> <span class="bp">False</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">tokens</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">tokens</span> <span class="o">=</span> <span class="p">[</span><span class="n">tokens</span><span class="p">]</span>
- <span class="n">to_reduce</span> <span class="o">=</span> <span class="bp">True</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="n">lower_case_backup</span><span class="p">:</span>
- <span class="n">indices</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">token_to_idx</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">token</span><span class="p">,</span> <span class="n">C</span><span class="o">.</span><span class="n">UNKNOWN_IDX</span><span class="p">)</span> <span class="k">for</span> <span class="n">token</span> <span class="ow">in</sp [...]
- <span class="k">else</span><span class="p">:</span>
- <span class="n">indices</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">token_to_idx</span><span class="p">[</span><span class="n">token</span><span class="p">]</span> <span class="k">if</span> <span class="n">token</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">token_to_idx</span>
- <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">token_to_idx</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">token</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">C</span><span class="o">.</span><span class="n">UNKNOWN_IDX</span><span class="p">)</span>
- <span class="k">for</span> <span class="n">token</span> <span class="ow">in</span> <span class="n">tokens</span><span class="p">]</span>
-
- <span class="n">vecs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span><span class="n">nd</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">indices</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx_to_vec</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span c [...]
- <span class="bp">self</span><span class="o">.</span><span class="n">idx_to_vec</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
-
- <span class="k">return</span> <span class="n">vecs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">if</span> <span class="n">to_reduce</span> <span class="k">else</span> <span class="n">vecs</span>
-
- <span class="k">def</span> <span class="nf">update_token_vectors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tokens</span><span class="p">,</span> <span class="n">new_vectors</span><span class="p">):</span>
- <span class="sd">"""Updates embedding vectors for tokens.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> tokens : str or a list of strs</span>
-<span class="sd"> A token or a list of tokens whose embedding vector are to be updated.</span>
-<span class="sd"> new_vectors : mxnet.ndarray.NDArray</span>
-<span class="sd"> An NDArray to be assigned to the embedding vectors of `tokens`. Its length must be equal</span>
-<span class="sd"> to the number of `tokens` and its width must be equal to the dimension of embeddings of</span>
-<span class="sd"> the glossary. If `tokens` is a singleton, it must be 1-D or 2-D. If `tokens` is a list</span>
-<span class="sd"> of multiple strings, it must be 2-D.</span>
-<span class="sd"> """</span>
-
- <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx_to_vec</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">,</span> <span class="s1">'The property `idx_to_vec` has not been properly set.'</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">tokens</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">tokens</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
- <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">new_vectors</span><span class="p">,</span> <span class="n">nd</span><span class="o">.</span><span class="n">NDArray</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">new_vectors</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="ow">in</span> <span class= [...]
- <span class="s1">'`new_vectors` must be a 1-D or 2-D NDArray if `tokens` is a singleton.'</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">tokens</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">tokens</span> <span class="o">=</span> <span class="p">[</span><span class="n">tokens</span><span class="p">]</span>
- <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">new_vectors</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
- <span class="n">new_vectors</span> <span class="o">=</span> <span class="n">new_vectors</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
-
- <span class="k">else</span><span class="p">:</span>
- <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">new_vectors</span><span class="p">,</span> <span class="n">nd</span><span class="o">.</span><span class="n">NDArray</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">new_vectors</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class=" [...]
- <span class="s1">'`new_vectors` must be a 2-D NDArray if `tokens` is a list of multiple strings.'</span>
- <span class="k">assert</span> <span class="n">new_vectors</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">tokens</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">vec_len</span><span class="p">),</span> \
- <span class="s1">'The length of new_vectors must be equal to the number of tokens and the width of'</span> \
- <span class="s1">'new_vectors must be equal to the dimension of embeddings of the glossary.'</span>
-
- <span class="n">indices</span> <span class="o">=</span> <span class="p">[]</span>
- <span class="k">for</span> <span class="n">token</span> <span class="ow">in</span> <span class="n">tokens</span><span class="p">:</span>
- <span class="k">if</span> <span class="n">token</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">token_to_idx</span><span class="p">:</span>
- <span class="n">indices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">token_to_idx</span><span class="p">[</span><span class="n">token</span><span class="p">])</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Token </span><span class="si">%s</span><span class="s1"> is unknown. To update the embedding vector for an '</span>
- <span class="s1">'unknown token, please specify it explicitly as the '</span>
- <span class="s1">'`unknown_token` </span><span class="si">%s</span><span class="s1"> in `tokens`. This is to avoid unintended '</span>
- <span class="s1">'updates.'</span> <span class="o">%</span> <span class="p">(</span><span class="n">token</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx_to_token</span><span class="p">[</span><span class="n">C</span><span class="o">.</span><span class="n">UNKNOWN_IDX</span><span class="p">]))</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_vec</span><span class="p">[</span><span class="n">nd</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">indices</span><span class="p">)]</span> <span class="o">=</span> <span class="n">new_vectors</span>
-
- <span class="nd">@classmethod</span>
- <span class="k">def</span> <span class="nf">_check_pretrained_file_names</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">):</span>
- <span class="sd">"""Checks if a pre-trained token embedding file name is valid.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> pretrained_file_name : str</span>
-<span class="sd"> The pre-trained token embedding file.</span>
-<span class="sd"> """</span>
-
- <span class="n">embedding_name</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
- <span class="k">if</span> <span class="n">pretrained_file_name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">cls</span><span class="o">.</span><span class="n">pretrained_file_name_sha1</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="s1">'Cannot find pretrained file </span><span class="si">%s</span><span class="s1"> for token embedding </span><span class="si">%s</span><span class="s1">. Valid '</span>
- <span class="s1">'pretrained files for embedding </span><span class="si">%s</span><span class="s1">: </span><span class="si">%s</span><span class="s1">'</span> <span class="o">%</span>
- <span class="p">(</span><span class="n">pretrained_file_name</span><span class="p">,</span> <span class="n">embedding_name</span><span class="p">,</span> <span class="n">embedding_name</span><span class="p">,</span>
- <span class="s1">', '</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">pretrained_file_name_sha1</span><span class="o">.</span><span class="n">keys</span><span class="p">())))</span>
-
-
-<span class="nd">@register</span>
-<div class="viewcode-block" id="GloVe"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.GloVe">[docs]</a><span class="k">class</span> <span class="nc">GloVe</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">):</span>
- <span class="sd">"""The GloVe word embedding.</span>
-
-
-<span class="sd"> GloVe is an unsupervised learning algorithm for obtaining vector representations for words.</span>
-<span class="sd"> Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and</span>
-<span class="sd"> the resulting representations showcase interesting linear substructures of the word vector</span>
-<span class="sd"> space. (Source from https://nlp.stanford.edu/projects/glove/)</span>
-
-<span class="sd"> Reference:</span>
-
-<span class="sd"> GloVe: Global Vectors for Word Representation.</span>
-<span class="sd"> Jeffrey Pennington, Richard Socher, and Christopher D. Manning.</span>
-<span class="sd"> https://nlp.stanford.edu/pubs/glove.pdf</span>
-
-<span class="sd"> Website:</span>
-
-<span class="sd"> https://nlp.stanford.edu/projects/glove/</span>
-
-<span class="sd"> To get the updated URLs to the externally hosted pre-trained token embedding</span>
-<span class="sd"> files, visit https://nlp.stanford.edu/projects/glove/</span>
-
-<span class="sd"> License for pre-trained embeddings:</span>
-
-<span class="sd"> https://opendatacommons.org/licenses/pddl/</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> pretrained_file_name : str, default 'glove.840B.300d.txt'</span>
-<span class="sd"> The name of the pre-trained token embedding file.</span>
-<span class="sd"> embedding_root : str, default os.path.join('~', '.mxnet', 'embeddings')</span>
-<span class="sd"> The root directory for storing embedding-related files.</span>
-<span class="sd"> init_unknown_vec : callback</span>
-<span class="sd"> The callback used to initialize the embedding vector for the unknown token.</span>
-<span class="sd"> vocabulary : :class:`~mxnet.contrib.text.vocab.Vocabulary`, default None</span>
-<span class="sd"> It contains the tokens to index. Each indexed token will be associated with the loaded</span>
-<span class="sd"> embedding vectors, such as loaded from a pre-trained token embedding file. If None, all the</span>
-<span class="sd"> tokens from the loaded embedding vectors, such as loaded from a pre-trained token embedding</span>
-<span class="sd"> file, will be indexed.</span>
-
-
-<span class="sd"> Properties</span>
-<span class="sd"> ----------</span>
-<span class="sd"> token_to_idx : dict mapping str to int</span>
-<span class="sd"> A dict mapping each token to its index integer.</span>
-<span class="sd"> idx_to_token : list of strs</span>
-<span class="sd"> A list of indexed tokens where the list indices and the token indices are aligned.</span>
-<span class="sd"> unknown_token : hashable object</span>
-<span class="sd"> The representation for any unknown token. In other words, any unknown token will be indexed</span>
-<span class="sd"> as the same representation.</span>
-<span class="sd"> reserved_tokens : list of strs or None</span>
-<span class="sd"> A list of reserved tokens that will always be indexed.</span>
-<span class="sd"> vec_len : int</span>
-<span class="sd"> The length of the embedding vector for each token.</span>
-<span class="sd"> idx_to_vec : mxnet.ndarray.NDArray</span>
-<span class="sd"> For all the indexed tokens in this embedding, this NDArray maps each token's index to an</span>
-<span class="sd"> embedding vector. The largest valid index maps to the initialized embedding vector for every</span>
-<span class="sd"> reserved token, such as an unknown_token token and a padding token.</span>
-<span class="sd"> """</span>
-
- <span class="c1"># Map a pre-trained token embedding archive file and its SHA-1 hash.</span>
- <span class="n">pretrained_archive_name_sha1</span> <span class="o">=</span> <span class="n">C</span><span class="o">.</span><span class="n">GLOVE_PRETRAINED_FILE_SHA1</span>
-
- <span class="c1"># Map a pre-trained token embedding file and its SHA-1 hash.</span>
- <span class="n">pretrained_file_name_sha1</span> <span class="o">=</span> <span class="n">C</span><span class="o">.</span><span class="n">GLOVE_PRETRAINED_ARCHIVE_SHA1</span>
-
- <span class="nd">@classmethod</span>
- <span class="k">def</span> <span class="nf">_get_download_file_name</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">):</span>
- <span class="c1"># Map a pre-trained embedding file to its archive to download.</span>
- <span class="n">src_archive</span> <span class="o">=</span> <span class="p">{</span><span class="n">archive</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'.'</span><span class="p">)[</span><span class="mi">1</span><span class="p">]:</span> <span class="n">archive</span> <span class="k">for</span> <span class="n">archive</span> <span class="ow">in</span>
- <span class="n">GloVe</span><span class="o">.</span><span class="n">pretrained_archive_name_sha1</span><span class="o">.</span><span class="n">keys</span><span class="p">()}</span>
- <span class="n">archive</span> <span class="o">=</span> <span class="n">src_archive</span><span class="p">[</span><span class="n">pretrained_file_name</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'.'</span><span class="p">)[</span><span class="mi">1</span><span class="p">]]</span>
- <span class="k">return</span> <span class="n">archive</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="o">=</span><span class="s1">'glove.840B.300d.txt'</span><span class="p">,</span>
- <span class="n">embedding_root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'embeddings'</span><span class="p">),</span>
- <span class="n">init_unknown_vec</span><span class="o">=</span><span class="n">nd</span><span class="o">.</span><span class="n">zeros</span><span class="p">,</span> <span class="n">vocabulary</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="n">GloVe</span><span class="o">.</span><span class="n">_check_pretrained_file_names</span><span class="p">(</span><span class="n">pretrained_file_name</span><span class="p">)</span>
-
- <span class="nb">super</span><span class="p">(</span><span class="n">GloVe</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="n">pretrained_file_path</span> <span class="o">=</span> <span class="n">GloVe</span><span class="o">.</span><span class="n">_get_pretrained_file</span><span class="p">(</span><span class="n">embedding_root</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">)</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">_load_embedding</span><span class="p">(</span><span class="n">pretrained_file_path</span><span class="p">,</span> <span class="s1">' '</span><span class="p">,</span> <span class="n">init_unknown_vec</span><span class="p">)</span>
-
- <span class="k">if</span> <span class="n">vocabulary</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_build_embedding_for_vocabulary</span><span class="p">(</span><span class="n">vocabulary</span><span class="p">)</span></div>
-
-
-<span class="nd">@register</span>
-<div class="viewcode-block" id="FastText"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.FastText">[docs]</a><span class="k">class</span> <span class="nc">FastText</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">):</span>
- <span class="sd">"""The fastText word embedding.</span>
-
-
-<span class="sd"> FastText is an open-source, free, lightweight library that allows users to learn text</span>
-<span class="sd"> representations and text classifiers. It works on standard, generic hardware. Models can later</span>
-<span class="sd"> be reduced in size to even fit on mobile devices. (Source from https://fasttext.cc/)</span>
-
-<span class="sd"> References:</span>
-
-<span class="sd"> Enriching Word Vectors with Subword Information.</span>
-<span class="sd"> Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov.</span>
-<span class="sd"> https://arxiv.org/abs/1607.04606</span>
-
-<span class="sd"> Bag of Tricks for Efficient Text Classification.</span>
-<span class="sd"> Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov.</span>
-<span class="sd"> https://arxiv.org/abs/1607.01759</span>
-
-<span class="sd"> FastText.zip: Compressing text classification models.</span>
-<span class="sd"> Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herve Jegou,</span>
-<span class="sd"> and Tomas Mikolov.</span>
-<span class="sd"> https://arxiv.org/abs/1612.03651</span>
-
-<span class="sd"> For 'wiki.multi' embeddings:</span>
-<span class="sd"> Word Translation Without Parallel Data</span>
-<span class="sd"> Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer,</span>
-<span class="sd"> and Herve Jegou.</span>
-<span class="sd"> https://arxiv.org/abs/1710.04087</span>
-
-<span class="sd"> Website:</span>
-
-<span class="sd"> https://fasttext.cc/</span>
-
-<span class="sd"> To get the updated URLs to the externally hosted pre-trained token embedding files, visit</span>
-<span class="sd"> https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md</span>
-
-<span class="sd"> License for pre-trained embeddings:</span>
-
-<span class="sd"> https://creativecommons.org/licenses/by-sa/3.0/</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> pretrained_file_name : str, default 'wiki.en.vec'</span>
-<span class="sd"> The name of the pre-trained token embedding file.</span>
-<span class="sd"> embedding_root : str, default os.path.join('~', '.mxnet', 'embeddings')</span>
-<span class="sd"> The root directory for storing embedding-related files.</span>
-<span class="sd"> init_unknown_vec : callback</span>
-<span class="sd"> The callback used to initialize the embedding vector for the unknown token.</span>
-<span class="sd"> vocabulary : :class:`~mxnet.contrib.text.vocab.Vocabulary`, default None</span>
-<span class="sd"> It contains the tokens to index. Each indexed token will be associated with the loaded</span>
-<span class="sd"> embedding vectors, such as loaded from a pre-trained token embedding file. If None, all the</span>
-<span class="sd"> tokens from the loaded embedding vectors, such as loaded from a pre-trained token embedding</span>
-<span class="sd"> file, will be indexed.</span>
-
-
-<span class="sd"> Properties</span>
-<span class="sd"> ----------</span>
-<span class="sd"> token_to_idx : dict mapping str to int</span>
-<span class="sd"> A dict mapping each token to its index integer.</span>
-<span class="sd"> idx_to_token : list of strs</span>
-<span class="sd"> A list of indexed tokens where the list indices and the token indices are aligned.</span>
-<span class="sd"> unknown_token : hashable object</span>
-<span class="sd"> The representation for any unknown token. In other words, any unknown token will be indexed</span>
-<span class="sd"> as the same representation.</span>
-<span class="sd"> reserved_tokens : list of strs or None</span>
-<span class="sd"> A list of reserved tokens that will always be indexed.</span>
-<span class="sd"> vec_len : int</span>
-<span class="sd"> The length of the embedding vector for each token.</span>
-<span class="sd"> idx_to_vec : mxnet.ndarray.NDArray</span>
-<span class="sd"> For all the indexed tokens in this embedding, this NDArray maps each token's index to an</span>
-<span class="sd"> embedding vector. The largest valid index maps to the initialized embedding vector for every</span>
-<span class="sd"> reserved token, such as an unknown_token token and a padding token.</span>
-<span class="sd"> """</span>
-
- <span class="c1"># Map a pre-trained token embedding archive file and its SHA-1 hash.</span>
- <span class="n">pretrained_archive_name_sha1</span> <span class="o">=</span> <span class="n">C</span><span class="o">.</span><span class="n">FAST_TEXT_ARCHIVE_SHA1</span>
-
- <span class="c1"># Map a pre-trained token embedding file and its SHA-1 hash.</span>
- <span class="n">pretrained_file_name_sha1</span> <span class="o">=</span> <span class="n">C</span><span class="o">.</span><span class="n">FAST_TEXT_FILE_SHA1</span>
-
- <span class="nd">@classmethod</span>
- <span class="k">def</span> <span class="nf">_get_download_file_name</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">):</span>
- <span class="c1"># Map a pre-trained embedding file to its archive to download.</span>
- <span class="k">return</span> <span class="s1">'.'</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">pretrained_file_name</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'.'</span><span class="p">)[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span><span class="o">+</span><span class="s1">'.zip'</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="o">=</span><span class="s1">'wiki.simple.vec'</span><span class="p">,</span>
- <span class="n">embedding_root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'embeddings'</span><span class="p">),</span>
- <span class="n">init_unknown_vec</span><span class="o">=</span><span class="n">nd</span><span class="o">.</span><span class="n">zeros</span><span class="p">,</span> <span class="n">vocabulary</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="n">FastText</span><span class="o">.</span><span class="n">_check_pretrained_file_names</span><span class="p">(</span><span class="n">pretrained_file_name</span><span class="p">)</span>
-
- <span class="nb">super</span><span class="p">(</span><span class="n">FastText</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="n">pretrained_file_path</span> <span class="o">=</span> <span class="n">FastText</span><span class="o">.</span><span class="n">_get_pretrained_file</span><span class="p">(</span><span class="n">embedding_root</span><span class="p">,</span> <span class="n">pretrained_file_name</span><span class="p">)</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">_load_embedding</span><span class="p">(</span><span class="n">pretrained_file_path</span><span class="p">,</span> <span class="s1">' '</span><span class="p">,</span> <span class="n">init_unknown_vec</span><span class="p">)</span>
-
- <span class="k">if</span> <span class="n">vocabulary</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_build_embedding_for_vocabulary</span><span class="p">(</span><span class="n">vocabulary</span><span class="p">)</span></div>
-
-
-<div class="viewcode-block" id="CustomEmbedding"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.CustomEmbedding">[docs]</a><span class="k">class</span> <span class="nc">CustomEmbedding</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">):</span>
- <span class="sd">"""User-defined token embedding.</span>
-
-<span class="sd"> This is to load embedding vectors from a user-defined pre-trained text embedding file.</span>
-
-<span class="sd"> Denote by '[ed]' the argument `elem_delim`. Denote by [v_ij] the j-th element of the token</span>
-<span class="sd"> embedding vector for [token_i], the expected format of a custom pre-trained token embedding file</span>
-<span class="sd"> is:</span>
-
-<span class="sd"> '[token_1][ed][v_11][ed][v_12][ed]...[ed][v_1k]\\\\n[token_2][ed][v_21][ed][v_22][ed]...[ed]</span>
-<span class="sd"> [v_2k]\\\\n...'</span>
-
-<span class="sd"> where k is the length of the embedding vector `vec_len`.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> pretrained_file_path : str</span>
-<span class="sd"> The path to the custom pre-trained token embedding file.</span>
-<span class="sd"> elem_delim : str, default ' '</span>
-<span class="sd"> The delimiter for splitting a token and every embedding vector element value on the same</span>
-<span class="sd"> line of the custom pre-trained token embedding file.</span>
-<span class="sd"> encoding : str, default 'utf8'</span>
-<span class="sd"> The encoding scheme for reading the custom pre-trained token embedding file.</span>
-<span class="sd"> init_unknown_vec : callback</span>
-<span class="sd"> The callback used to initialize the embedding vector for the unknown token.</span>
-<span class="sd"> vocabulary : :class:`~mxnet.contrib.text.vocab.Vocabulary`, default None</span>
-<span class="sd"> It contains the tokens to index. Each indexed token will be associated with the loaded</span>
-<span class="sd"> embedding vectors, such as loaded from a pre-trained token embedding file. If None, all the</span>
-<span class="sd"> tokens from the loaded embedding vectors, such as loaded from a pre-trained token embedding</span>
-<span class="sd"> file, will be indexed.</span>
-
-
-<span class="sd"> Properties</span>
-<span class="sd"> ----------</span>
-<span class="sd"> token_to_idx : dict mapping str to int</span>
-<span class="sd"> A dict mapping each token to its index integer.</span>
-<span class="sd"> idx_to_token : list of strs</span>
-<span class="sd"> A list of indexed tokens where the list indices and the token indices are aligned.</span>
-<span class="sd"> unknown_token : hashable object</span>
-<span class="sd"> The representation for any unknown token. In other words, any unknown token will be indexed</span>
-<span class="sd"> as the same representation.</span>
-<span class="sd"> reserved_tokens : list of strs or None</span>
-<span class="sd"> A list of reserved tokens that will always be indexed.</span>
-<span class="sd"> vec_len : int</span>
-<span class="sd"> The length of the embedding vector for each token.</span>
-<span class="sd"> idx_to_vec : mxnet.ndarray.NDArray</span>
-<span class="sd"> For all the indexed tokens in this embedding, this NDArray maps each token's index to an</span>
-<span class="sd"> embedding vector. The largest valid index maps to the initialized embedding vector for every</span>
-<span class="sd"> reserved token, such as an unknown_token token and a padding token.</span>
-<span class="sd"> """</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pretrained_file_path</span><span class="p">,</span> <span class="n">elem_delim</span><span class="o">=</span><span class="s1">' '</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s1">'utf8'</span><span class="p">,</span>
- <span class="n">init_unknown_vec</span><span class="o">=</span><span class="n">nd</span><span class="o">.</span><span class="n">zeros</span><span class="p">,</span> <span class="n">vocabulary</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">CustomEmbedding</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_load_embedding</span><span class="p">(</span><span class="n">pretrained_file_path</span><span class="p">,</span> <span class="n">elem_delim</span><span class="p">,</span> <span class="n">init_unknown_vec</span><span class="p">,</span> <span class="n">encoding</span><span class="p">)</span>
-
- <span class="k">if</span> <span class="n">vocabulary</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_build_embedding_for_vocabulary</span><span class="p">(</span><span class="n">vocabulary</span><span class="p">)</span></div>
-
-
-<div class="viewcode-block" id="CompositeEmbedding"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.CompositeEmbedding">[docs]</a><span class="k">class</span> <span class="nc">CompositeEmbedding</span><span class="p">(</span><span class="n">_TokenEmbedding</span><span class="p">):</span>
- <span class="sd">"""Composite token embeddings.</span>
-
-
-<span class="sd"> For each indexed token in a vocabulary, multiple embedding vectors, such as concatenated</span>
-<span class="sd"> multiple embedding vectors, will be associated with it. Such embedding vectors can be loaded</span>
-<span class="sd"> from externally hosted or custom pre-trained token embedding files, such as via token embedding</span>
-<span class="sd"> instances.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> vocabulary : :class:`~mxnet.contrib.text.vocab.Vocabulary`</span>
-<span class="sd"> For each indexed token in a vocabulary, multiple embedding vectors, such as concatenated</span>
-<span class="sd"> multiple embedding vectors, will be associated with it.</span>
-<span class="sd"> token_embeddings : instance or list of `mxnet.contrib.text.embedding._TokenEmbedding`</span>
-<span class="sd"> One or multiple pre-trained token embeddings to load. If it is a list of multiple</span>
-<span class="sd"> embeddings, these embedding vectors will be concatenated for each token.</span>
-
-
-<span class="sd"> Properties</span>
-<span class="sd"> ----------</span>
-<span class="sd"> token_to_idx : dict mapping str to int</span>
-<span class="sd"> A dict mapping each token to its index integer.</span>
-<span class="sd"> idx_to_token : list of strs</span>
-<span class="sd"> A list of indexed tokens where the list indices and the token indices are aligned.</span>
-<span class="sd"> unknown_token : hashable object</span>
-<span class="sd"> The representation for any unknown token. In other words, any unknown token will be indexed</span>
-<span class="sd"> as the same representation.</span>
-<span class="sd"> reserved_tokens : list of strs or None</span>
-<span class="sd"> A list of reserved tokens that will always be indexed.</span>
-<span class="sd"> vec_len : int</span>
-<span class="sd"> The length of the embedding vector for each token.</span>
-<span class="sd"> idx_to_vec : mxnet.ndarray.NDArray</span>
-<span class="sd"> For all the indexed tokens in this embedding, this NDArray maps each token's index to an</span>
-<span class="sd"> embedding vector. The largest valid index maps to the initialized embedding vector for every</span>
-<span class="sd"> reserved token, such as an unknown_token token and a padding token.</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vocabulary</span><span class="p">,</span> <span class="n">token_embeddings</span><span class="p">):</span>
-
- <span class="c1"># Sanity checks.</span>
- <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">vocabulary</span><span class="p">,</span> <span class="n">vocab</span><span class="o">.</span><span class="n">Vocabulary</span><span class="p">),</span> \
- <span class="s1">'The argument `vocabulary` must be an instance of '</span> \
- <span class="s1">'mxnet.contrib.text.indexer.Vocabulary.'</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">token_embeddings</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">token_embeddings</span> <span class="o">=</span> <span class="p">[</span><span class="n">token_embeddings</span><span class="p">]</span>
-
- <span class="k">for</span> <span class="n">embed</span> <span class="ow">in</span> <span class="n">token_embeddings</span><span class="p">:</span>
- <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">embed</span><span class="p">,</span> <span class="n">_TokenEmbedding</span><span class="p">),</span> \
- <span class="s1">'The argument `token_embeddings` must be an instance or a list of instances '</span> \
- <span class="s1">'of `mxnet.contrib.text.embedding.TextEmbedding` whose embedding vectors will be'</span> \
- <span class="s1">'loaded or concatenated-then-loaded to map to the indexed tokens.'</span>
-
- <span class="c1"># Index tokens.</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_index_tokens_from_vocabulary</span><span class="p">(</span><span class="n">vocabulary</span><span class="p">)</span>
-
- <span class="c1"># Set _idx_to_vec so that indices of tokens from keys of `counter` are associated with token</span>
- <span class="c1"># embedding vectors from `token_embeddings`.</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_set_idx_to_vec_by_embeddings</span><span class="p">(</span><span class="n">token_embeddings</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx_to_token</span><span class="p">)</span></div>
-</pre></div>
-</div>
-</div>
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-<h1>Source code for mxnet.contrib.text.utils</h1><div class="highlight"><pre>
-<span></span><span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span>
-<span class="c1"># or more contributor license agreements. See the NOTICE file</span>
-<span class="c1"># distributed with this work for additional information</span>
-<span class="c1"># regarding copyright ownership. The ASF licenses this file</span>
-<span class="c1"># to you under the Apache License, Version 2.0 (the</span>
-<span class="c1"># "License"); you may not use this file except in compliance</span>
-<span class="c1"># with the License. You may obtain a copy of the License at</span>
-<span class="c1">#</span>
-<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
-<span class="c1">#</span>
-<span class="c1"># Unless required by applicable law or agreed to in writing,</span>
-<span class="c1"># software distributed under the License is distributed on an</span>
-<span class="c1"># "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span>
-<span class="c1"># KIND, either express or implied. See the License for the</span>
-<span class="c1"># specific language governing permissions and limitations</span>
-<span class="c1"># under the License.</span>
-
-<span class="c1"># coding: utf-8</span>
-
-<span class="sd">"""Provide utilities for text data processing."""</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">absolute_import</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">print_function</span>
-
-<span class="kn">import</span> <span class="nn">collections</span>
-<span class="kn">import</span> <span class="nn">re</span>
-
-
-<div class="viewcode-block" id="count_tokens_from_str"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.utils.count_tokens_from_str">[docs]</a><span class="k">def</span> <span class="nf">count_tokens_from_str</span><span class="p">(</span><span class="n">source_str</span><span class="p">,</span> <span class="n">token_delim</span><span class="o">=</span><span class="s1">' '</span><span class="p">,</span> <span class="n">seq_delim</span><span class [...]
- <span class="n">to_lower</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">counter_to_update</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
- <span class="sd">"""Counts tokens in the specified string.</span>
-
-<span class="sd"> For token_delim='<td>' and seq_delim='<sd>', a specified string of two sequences of tokens may</span>
-<span class="sd"> look like::</span>
-
-<span class="sd"> <td>token1<td>token2<td>token3<td><sd><td>token4<td>token5<td><sd></span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> source_str : str</span>
-<span class="sd"> A source string of tokens.</span>
-<span class="sd"> token_delim : str, default ' '</span>
-<span class="sd"> A token delimiter.</span>
-<span class="sd"> seq_delim : str, default '\\\\n'</span>
-<span class="sd"> A sequence delimiter.</span>
-<span class="sd"> to_lower : bool, default False</span>
-<span class="sd"> Whether to convert the source source_str to the lower case.</span>
-<span class="sd"> counter_to_update : collections.Counter or None, default None</span>
-<span class="sd"> The collections.Counter instance to be updated with the token counts of `source_str`. If</span>
-<span class="sd"> None, return a new collections.Counter instance counting tokens from `source_str`.</span>
-
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> collections.Counter</span>
-<span class="sd"> The `counter_to_update` collections.Counter instance after being updated with the token</span>
-<span class="sd"> counts of `source_str`. If `counter_to_update` is None, return a new collections.Counter</span>
-<span class="sd"> instance counting tokens from `source_str`.</span>
-
-
-<span class="sd"> Examples</span>
-<span class="sd"> --------</span>
-<span class="sd"> >>> source_str = ' Life is great ! \\n life is good . \\n'</span>
-<span class="sd"> >>> count_tokens_from_str(token_line, ' ', '\\n', True)</span>
-<span class="sd"> Counter({'!': 1, '.': 1, 'good': 1, 'great': 1, 'is': 2, 'life': 2})</span>
-<span class="sd"> """</span>
-
- <span class="n">source_str</span> <span class="o">=</span> <span class="nb">filter</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
- <span class="n">re</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">token_delim</span> <span class="o">+</span> <span class="s1">'|'</span> <span class="o">+</span> <span class="n">seq_delim</span><span class="p">,</span> <span class="n">source_str</span><span class="p">))</span>
- <span class="k">if</span> <span class="n">to_lower</span><span class="p">:</span>
- <span class="n">source_str</span> <span class="o">=</span> <span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">source_str</span><span class="p">]</span>
-
- <span class="k">if</span> <span class="n">counter_to_update</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
- <span class="k">return</span> <span class="n">collections</span><span class="o">.</span><span class="n">Counter</span><span class="p">(</span><span class="n">source_str</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">counter_to_update</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">source_str</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">counter_to_update</span></div>
-</pre></div>
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-<img height="60" src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/apache_incubator_logo.png"/>
-<p>
- Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
- </p>
-<p>
- "Copyright © 2017-2018, The Apache Software Foundation
- Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
- </p>
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-<h1>Source code for mxnet.contrib.text.vocab</h1><div class="highlight"><pre>
-<span></span><span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span>
-<span class="c1"># or more contributor license agreements. See the NOTICE file</span>
-<span class="c1"># distributed with this work for additional information</span>
-<span class="c1"># regarding copyright ownership. The ASF licenses this file</span>
-<span class="c1"># to you under the Apache License, Version 2.0 (the</span>
-<span class="c1"># "License"); you may not use this file except in compliance</span>
-<span class="c1"># with the License. You may obtain a copy of the License at</span>
-<span class="c1">#</span>
-<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
-<span class="c1">#</span>
-<span class="c1"># Unless required by applicable law or agreed to in writing,</span>
-<span class="c1"># software distributed under the License is distributed on an</span>
-<span class="c1"># "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span>
-<span class="c1"># KIND, either express or implied. See the License for the</span>
-<span class="c1"># specific language governing permissions and limitations</span>
-<span class="c1"># under the License.</span>
-
-<span class="c1"># coding: utf-8</span>
-<span class="c1"># pylint: disable=consider-iterating-dictionary</span>
-
-<span class="sd">"""Text token indexer."""</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">absolute_import</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">print_function</span>
-
-<span class="kn">import</span> <span class="nn">collections</span>
-
-<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">_constants</span> <span class="k">as</span> <span class="n">C</span>
-
-
-<div class="viewcode-block" id="Vocabulary"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.Vocabulary">[docs]</a><span class="k">class</span> <span class="nc">Vocabulary</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
- <span class="sd">"""Indexing for text tokens.</span>
-
-
-<span class="sd"> Build indices for the unknown token, reserved tokens, and input counter keys. Indexed tokens can</span>
-<span class="sd"> be used by token embeddings.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> counter : collections.Counter or None, default None</span>
-<span class="sd"> Counts text token frequencies in the text data. Its keys will be indexed according to</span>
-<span class="sd"> frequency thresholds such as `most_freq_count` and `min_freq`. Keys of `counter`,</span>
-<span class="sd"> `unknown_token`, and values of `reserved_tokens` must be of the same hashable type.</span>
-<span class="sd"> Examples: str, int, and tuple.</span>
-<span class="sd"> most_freq_count : None or int, default None</span>
-<span class="sd"> The maximum possible number of the most frequent tokens in the keys of `counter` that can be</span>
-<span class="sd"> indexed. Note that this argument does not count any token from `reserved_tokens`. Suppose</span>
-<span class="sd"> that there are different keys of `counter` whose frequency are the same, if indexing all of</span>
-<span class="sd"> them will exceed this argument value, such keys will be indexed one by one according to</span>
-<span class="sd"> their __cmp__() order until the frequency threshold is met. If this argument is None or</span>
-<span class="sd"> larger than its largest possible value restricted by `counter` and `reserved_tokens`, this</span>
-<span class="sd"> argument has no effect.</span>
-<span class="sd"> min_freq : int, default 1</span>
-<span class="sd"> The minimum frequency required for a token in the keys of `counter` to be indexed.</span>
-<span class="sd"> unknown_token : hashable object, default '&lt;unk&gt;'</span>
-<span class="sd"> The representation for any unknown token. In other words, any unknown token will be indexed</span>
-<span class="sd"> as the same representation. Keys of `counter`, `unknown_token`, and values of</span>
-<span class="sd"> `reserved_tokens` must be of the same hashable type. Examples: str, int, and tuple.</span>
-<span class="sd"> reserved_tokens : list of hashable objects or None, default None</span>
-<span class="sd"> A list of reserved tokens that will always be indexed, such as special symbols representing</span>
-<span class="sd"> padding, beginning of sentence, and end of sentence. It cannot contain `unknown_token`, or</span>
-<span class="sd"> duplicate reserved tokens. Keys of `counter`, `unknown_token`, and values of</span>
-<span class="sd"> `reserved_tokens` must be of the same hashable type. Examples: str, int, and tuple.</span>
-
-
-<span class="sd"> Properties</span>
-<span class="sd"> ----------</span>
-<span class="sd"> token_to_idx : dict mapping str to int</span>
-<span class="sd"> A dict mapping each token to its index integer.</span>
-<span class="sd"> idx_to_token : list of strs</span>
-<span class="sd"> A list of indexed tokens where the list indices and the token indices are aligned.</span>
-<span class="sd"> unknown_token : hashable object</span>
-<span class="sd"> The representation for any unknown token. In other words, any unknown token will be indexed</span>
-<span class="sd"> as the same representation.</span>
-<span class="sd"> reserved_tokens : list of strs or None</span>
-<span class="sd"> A list of reserved tokens that will always be indexed.</span>
-<span class="sd"> """</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">counter</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">most_freq_count</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">min_freq</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">unknown_t [...]
- <span class="n">reserved_tokens</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
-
- <span class="c1"># Sanity checks.</span>
- <span class="k">assert</span> <span class="n">min_freq</span> <span class="o">></span> <span class="mi">0</span><span class="p">,</span> <span class="s1">'`min_freq` must be set to a positive value.'</span>
-
- <span class="k">if</span> <span class="n">reserved_tokens</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
- <span class="n">reserved_token_set</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">reserved_tokens</span><span class="p">)</span>
- <span class="k">assert</span> <span class="n">unknown_token</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">reserved_token_set</span><span class="p">,</span> \
- <span class="s1">'`reserved_token` cannot contain `unknown_token`.'</span>
- <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">reserved_token_set</span><span class="p">)</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">reserved_tokens</span><span class="p">),</span> \
- <span class="s1">'`reserved_tokens` cannot contain duplicate reserved tokens.'</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">_index_unknown_and_reserved_tokens</span><span class="p">(</span><span class="n">unknown_token</span><span class="p">,</span> <span class="n">reserved_tokens</span><span class="p">)</span>
-
- <span class="k">if</span> <span class="n">counter</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_index_counter_keys</span><span class="p">(</span><span class="n">counter</span><span class="p">,</span> <span class="n">unknown_token</span><span class="p">,</span> <span class="n">reserved_tokens</span><span class="p">,</span> <span class="n">most_freq_count</span><span class="p">,</span>
- <span class="n">min_freq</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">_index_unknown_and_reserved_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">unknown_token</span><span class="p">,</span> <span class="n">reserved_tokens</span><span class="p">):</span>
- <span class="sd">"""Indexes unknown and reserved tokens."""</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">_unknown_token</span> <span class="o">=</span> <span class="n">unknown_token</span>
- <span class="c1"># Thus, constants.UNKNOWN_IDX must be 0.</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span> <span class="o">=</span> <span class="p">[</span><span class="n">unknown_token</span><span class="p">]</span>
-
- <span class="k">if</span> <span class="n">reserved_tokens</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_reserved_tokens</span> <span class="o">=</span> <span class="bp">None</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_reserved_tokens</span> <span class="o">=</span> <span class="n">reserved_tokens</span><span class="p">[:]</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">reserved_tokens</span><span class="p">)</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">_token_to_idx</span> <span class="o">=</span> <span class="p">{</span><span class="n">token</span><span class="p">:</span> <span class="n">idx</span> <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">token</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_idx_to [...]
-
- <span class="k">def</span> <span class="nf">_index_counter_keys</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">counter</span><span class="p">,</span> <span class="n">unknown_token</span><span class="p">,</span> <span class="n">reserved_tokens</span><span class="p">,</span> <span class="n">most_freq_count</span><span class="p">,</span>
- <span class="n">min_freq</span><span class="p">):</span>
- <span class="sd">"""Indexes keys of `counter`.</span>
-
-
-<span class="sd"> Indexes keys of `counter` according to frequency thresholds such as `most_freq_count` and</span>
-<span class="sd"> `min_freq`.</span>
-<span class="sd"> """</span>
-
- <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">counter</span><span class="p">,</span> <span class="n">collections</span><span class="o">.</span><span class="n">Counter</span><span class="p">),</span> \
- <span class="s1">'`counter` must be an instance of collections.Counter.'</span>
-
- <span class="n">unknown_and_reserved_tokens</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">reserved_tokens</span><span class="p">)</span> <span class="k">if</span> <span class="n">reserved_tokens</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span> <span class="k">else</span> <span class="nb">set</span><span class="p">()</span>
- <span class="n">unknown_and_reserved_tokens</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">unknown_token</span><span class="p">)</span>
-
- <span class="n">token_freqs</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">counter</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span> <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
- <span class="n">token_freqs</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">reverse</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
-
- <span class="n">token_cap</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">unknown_and_reserved_tokens</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span>
- <span class="nb">len</span><span class="p">(</span><span class="n">counter</span><span class="p">)</span> <span class="k">if</span> <span class="n">most_freq_count</span> <span class="ow">is</span> <span class="bp">None</span> <span class="k">else</span> <span class="n">most_freq_count</span><span class="p">)</span>
-
- <span class="k">for</span> <span class="n">token</span><span class="p">,</span> <span class="n">freq</span> <span class="ow">in</span> <span class="n">token_freqs</span><span class="p">:</span>
- <span class="k">if</span> <span class="n">freq</span> <span class="o"><</span> <span class="n">min_freq</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span><span class="p">)</span> <span class="o">==</span> <span class="n">token_cap</span><span class="p">:</span>
- <span class="k">break</span>
- <span class="k">if</span> <span class="n">token</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">unknown_and_reserved_tokens</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">token</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_token_to_idx</span><span class="p">[</span><span class="n">token</span><span class="p">]</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
-
- <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">idx_to_token</span><span class="p">)</span>
-
- <span class="nd">@property</span>
- <span class="k">def</span> <span class="nf">token_to_idx</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_token_to_idx</span>
-
- <span class="nd">@property</span>
- <span class="k">def</span> <span class="nf">idx_to_token</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_idx_to_token</span>
-
- <span class="nd">@property</span>
- <span class="k">def</span> <span class="nf">unknown_token</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_unknown_token</span>
-
- <span class="nd">@property</span>
- <span class="k">def</span> <span class="nf">reserved_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_reserved_tokens</span>
-
-<div class="viewcode-block" id="Vocabulary.to_indices"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.Vocabulary.to_indices">[docs]</a> <span class="k">def</span> <span class="nf">to_indices</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tokens</span><span class="p">):</span>
- <span class="sd">"""Converts tokens to indices according to the vocabulary.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> tokens : str or list of strs</span>
-<span class="sd"> A source token or tokens to be converted.</span>
-
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> int or list of ints</span>
-<span class="sd"> A token index or a list of token indices according to the vocabulary.</span>
-<span class="sd"> """</span>
-
- <span class="n">to_reduce</span> <span class="o">=</span> <span class="bp">False</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">tokens</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">tokens</span> <span class="o">=</span> <span class="p">[</span><span class="n">tokens</span><span class="p">]</span>
- <span class="n">to_reduce</span> <span class="o">=</span> <span class="bp">True</span>
-
- <span class="n">indices</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">token_to_idx</span><span class="p">[</span><span class="n">token</span><span class="p">]</span> <span class="k">if</span> <span class="n">token</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">token_to_idx</span>
- <span class="k">else</span> <span class="n">C</span><span class="o">.</span><span class="n">UNKNOWN_IDX</span> <span class="k">for</span> <span class="n">token</span> <span class="ow">in</span> <span class="n">tokens</span><span class="p">]</span>
-
- <span class="k">return</span> <span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">if</span> <span class="n">to_reduce</span> <span class="k">else</span> <span class="n">indices</span></div>
-
-<div class="viewcode-block" id="Vocabulary.to_tokens"><a class="viewcode-back" href="../../../../api/python/contrib/text.html#mxnet.contrib.text.embedding.Vocabulary.to_tokens">[docs]</a> <span class="k">def</span> <span class="nf">to_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">indices</span><span class="p">):</span>
- <span class="sd">"""Converts token indices to tokens according to the vocabulary.</span>
-
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> indices : int or list of ints</span>
-<span class="sd"> A source token index or token indices to be converted.</span>
-
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> str or list of strs</span>
-<span class="sd"> A token or a list of tokens according to the vocabulary.</span>
-<span class="sd"> """</span>
-
- <span class="n">to_reduce</span> <span class="o">=</span> <span class="bp">False</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">indices</span> <span class="o">=</span> <span class="p">[</span><span class="n">indices</span><span class="p">]</span>
- <span class="n">to_reduce</span> <span class="o">=</span> <span class="bp">True</span>
-
- <span class="n">max_idx</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">idx_to_token</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
-
- <span class="n">tokens</span> <span class="o">=</span> <span class="p">[]</span>
- <span class="k">for</span> <span class="n">idx</span> <span class="ow">in</span> <span class="n">indices</span><span class="p">:</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">idx</span><span class="p">,</span> <span class="nb">int</span><span class="p">)</span> <span class="ow">or</span> <span class="n">idx</span> <span class="o">></span> <span class="n">max_idx</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Token index </span><span class="si">%d</span><span class="s1"> in the provided `indices` is invalid.'</span> <span class="o">%</span> <span class="n">idx</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">tokens</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">idx_to_token</span><span class="p">[</span><span class="n">idx</span><span class="p">])</span>
-
- <span class="k">return</span> <span class="n">tokens</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">if</span> <span class="n">to_reduce</span> <span class="k">else</span> <span class="n">tokens</span></div></div>
-</pre></div>
-</div>
-</div>
-<div aria-label="main navigation" class="sphinxsidebar rightsidebar" role="navigation">
-<div class="sphinxsidebarwrapper">
-</div>
-</div>
-</div><div class="footer">
-<div class="section-disclaimer">
-<div class="container">
-<div>
-<img height="60" src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/apache_incubator_logo.png"/>
-<p>
- Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
- </p>
-<p>
- "Copyright © 2017-2018, The Apache Software Foundation
- Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
- </p>
-</div>
-</div>
-</div>
-</div> <!-- pagename != index -->
-</div>
-<script crossorigin="anonymous" integrity="sha384-0mSbJDEHialfmuBBQP6A4Qrprq5OVfW37PRR3j5ELqxss1yVqOtnepnHVP9aJ7xS" src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js"></script>
-<script src="../../../../_static/js/sidebar.js" type="text/javascript"></script>
-<script src="../../../../_static/js/search.js" type="text/javascript"></script>
-<script src="../../../../_static/js/navbar.js" type="text/javascript"></script>
-<script src="../../../../_static/js/clipboard.min.js" type="text/javascript"></script>
-<script src="../../../../_static/js/copycode.js" type="text/javascript"></script>
-<script src="../../../../_static/js/page.js" type="text/javascript"></script>
-<script type="text/javascript">
- $('body').ready(function () {
- $('body').css('visibility', 'visible');
- });
- </script>
-</body>
-</html>
\ No newline at end of file
diff --git a/_modules/mxnet/executor.html b/_modules/mxnet/executor.html
index 9e23dd5..d34c039 100644
--- a/_modules/mxnet/executor.html
+++ b/_modules/mxnet/executor.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -718,7 +718,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/executor_manager.html b/_modules/mxnet/executor_manager.html
index 4d16d9d..e4e5edc 100644
--- a/_modules/mxnet/executor_manager.html
+++ b/_modules/mxnet/executor_manager.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -661,7 +661,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/block.html b/_modules/mxnet/gluon/block.html
index 8a305aa..b753e0c 100644
--- a/_modules/mxnet/gluon/block.html
+++ b/_modules/mxnet/gluon/block.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -228,7 +228,6 @@
<span class="kn">import</span> <span class="nn">copy</span>
<span class="kn">import</span> <span class="nn">warnings</span>
-<span class="kn">import</span> <span class="nn">re</span>
<span class="kn">from</span> <span class="nn">..</span> <span class="kn">import</span> <span class="n">symbol</span><span class="p">,</span> <span class="n">ndarray</span><span class="p">,</span> <span class="n">initializer</span>
<span class="kn">from</span> <span class="nn">..symbol</span> <span class="kn">import</span> <span class="n">Symbol</span>
@@ -274,7 +273,7 @@
<span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_block</span><span class="o">.</span><span class="n">_empty_prefix</span><span class="p">:</span>
- <span class="k">return</span> <span class="bp">self</span>
+ <span class="k">return</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_old_scope</span> <span class="o">=</span> <span class="n">_BlockScope</span><span class="o">.</span><span class="n">_current</span>
<span class="n">_BlockScope</span><span class="o">.</span><span class="n">_current</span> <span class="o">=</span> <span class="bp">self</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_name_scope</span> <span class="o">=</span> <span class="n">_name</span><span class="o">.</span><span class="n">Prefix</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_block</span><span class="o">.</span><span class="n">prefix</span><span class="p">)</span>
@@ -406,33 +405,6 @@
<span class="nb">super</span><span class="p">(</span><span class="n">Block</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__setattr__</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">)</span></div>
- <span class="k">def</span> <span class="nf">_check_container_with_block</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">def</span> <span class="nf">_find_block_in_container</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
- <span class="c1"># Find whether a nested container structure contains Blocks</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)):</span>
- <span class="k">for</span> <span class="n">ele</span> <span class="ow">in</span> <span class="n">data</span><span class="p">:</span>
- <span class="k">if</span> <span class="n">_find_block_in_container</span><span class="p">(</span><span class="n">ele</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">True</span>
- <span class="k">return</span> <span class="bp">False</span>
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
- <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
- <span class="k">if</span> <span class="n">_find_block_in_container</span><span class="p">(</span><span class="n">v</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">True</span>
- <span class="k">return</span> <span class="bp">False</span>
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">Block</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">True</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">return</span> <span class="bp">False</span>
- <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__dict__</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">,</span> <span class="nb">dict</span><span class="p">))</span> <span class="ow">and</span> <span class="ow">not</span> <span class="p">(</span><span class="n">k</span><span class="o">.</span><span class="n">startswith</span>< [...]
- <span class="k">if</span> <span class="n">_find_block_in_container</span><span class="p">(</span><span class="n">v</span><span class="p">):</span>
- <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s1">'"{name}" is a container with Blocks. '</span>
- <span class="s1">'Note that Blocks inside the list, tuple or dict will not be '</span>
- <span class="s1">'registered automatically. Make sure to register them using '</span>
- <span class="s1">'register_child() or switching to '</span>
- <span class="s1">'nn.Sequential/nn.HybridSequential instead. '</span>
- <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span> <span class="o">+</span> <span class="s2">"."</span> <span class="o">+</span> <span class="n">k</span><span class="p">))</span>
-
<span class="k">def</span> <span class="nf">_alias</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
@@ -461,40 +433,13 @@
<span class="sd"> children's parameters)."""</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_params</span>
-<div class="viewcode-block" id="Block.collect_params"><a class="viewcode-back" href="../../../api/python/gluon/gluon.html#mxnet.gluon.Block.collect_params">[docs]</a> <span class="k">def</span> <span class="nf">collect_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">select</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
+<div class="viewcode-block" id="Block.collect_params"><a class="viewcode-back" href="../../../api/python/gluon/gluon.html#mxnet.gluon.Block.collect_params">[docs]</a> <span class="k">def</span> <span class="nf">collect_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Returns a :py:class:`ParameterDict` containing this :py:class:`Block` and all of its</span>
-<span class="sd"> children's Parameters(default), also can returns the select :py:class:`ParameterDict`</span>
-<span class="sd"> which match some given regular expressions.</span>
-
-<span class="sd"> For example, collect the specified parameter in ['conv1_weight', 'conv1_bias', 'fc_weight',</span>
-<span class="sd"> 'fc_bias']::</span>
-
-<span class="sd"> model.collect_params('conv1_weight|conv1_bias|fc_weight|fc_bias')</span>
-
-<span class="sd"> or collect all paramters which their name ends with 'weight' or 'bias', this can be done</span>
-<span class="sd"> using regular expressions::</span>
-
-<span class="sd"> model.collect_params('.*weight|.*bias')</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> select : str</span>
-<span class="sd"> regular expressions</span>
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> The selected :py:class:`ParameterDict`</span>
-<span class="sd"> """</span>
- <span class="c1"># We need to check here because blocks inside containers are not supported.</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_check_container_with_block</span><span class="p">()</span>
+<span class="sd"> children's Parameters."""</span>
<span class="n">ret</span> <span class="o">=</span> <span class="n">ParameterDict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_params</span><span class="o">.</span><span class="n">prefix</span><span class="p">)</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="n">select</span><span class="p">:</span>
- <span class="n">ret</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">pattern</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">select</span><span class="p">)</span>
- <span class="n">ret</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="n">name</span><span class="p">:</span><span class="n">value</span> <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <s [...]
+ <span class="n">ret</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="p">)</span>
<span class="k">for</span> <span class="n">cld</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_children</span><span class="p">:</span>
- <span class="n">ret</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">cld</span><span class="o">.</span><span class="n">collect_params</span><span class="p">(</span><span class="n">select</span><span class="o">=</span><span class="n">select</span><span class="p">))</span>
+ <span class="n">ret</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">cld</span><span class="o">.</span><span class="n">collect_params</span><span class="p">())</span>
<span class="k">return</span> <span class="n">ret</span></div>
<div class="viewcode-block" id="Block.save_params"><a class="viewcode-back" href="../../../api/python/gluon/gluon.html#mxnet.gluon.Block.save_params">[docs]</a> <span class="k">def</span> <span class="nf">save_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
@@ -522,6 +467,7 @@
<span class="bp">self</span><span class="o">.</span><span class="n">collect_params</span><span class="p">()</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">allow_missing</span><span class="p">,</span> <span class="n">ignore_extra</span><span class="p">,</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prefix</span><span class="p">)</span></div>
+
<div class="viewcode-block" id="Block.register_child"><a class="viewcode-back" href="../../../api/python/gluon/gluon.html#mxnet.gluon.Block.register_child">[docs]</a> <span class="k">def</span> <span class="nf">register_child</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">block</span><span class="p">):</span>
<span class="sd">"""Registers block as a child of self. :py:class:`Block` s assigned to self as</span>
<span class="sd"> attributes will be registered automatically."""</span>
@@ -730,7 +676,7 @@
<span class="sd">"""Infers data type of Parameters from inputs."""</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_infer_attrs</span><span class="p">(</span><span class="s1">'infer_type'</span><span class="p">,</span> <span class="s1">'dtype'</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">)</span></div>
-<div class="viewcode-block" id="HybridBlock.export"><a class="viewcode-back" href="../../../api/python/gluon/gluon.html#mxnet.gluon.HybridBlock.export">[docs]</a> <span class="k">def</span> <span class="nf">export</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">path</span><span class="p">,</span> <span class="n">epoch</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<div class="viewcode-block" id="HybridBlock.export"><a class="viewcode-back" href="../../../api/python/gluon/gluon.html#mxnet.gluon.HybridBlock.export">[docs]</a> <span class="k">def</span> <span class="nf">export</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">path</span><span class="p">):</span>
<span class="sd">"""Export HybridBlock to json format that can be loaded by `mxnet.mod.Module`</span>
<span class="sd"> or the C++ interface.</span>
@@ -740,10 +686,8 @@
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> path : str</span>
-<span class="sd"> Path to save model. Two files `path-symbol.json` and `path-xxxx.params`</span>
-<span class="sd"> will be created, where xxxx is the 4 digits epoch number.</span>
-<span class="sd"> epoch : int</span>
-<span class="sd"> Epoch number of saved model.</span>
+<span class="sd"> Path to save model. Two files `path-symbol.json` and `path-0000.params`</span>
+<span class="sd"> will be created.</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cached_graph</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
@@ -761,7 +705,7 @@
<span class="k">else</span><span class="p">:</span>
<span class="k">assert</span> <span class="n">name</span> <span class="ow">in</span> <span class="n">aux_names</span>
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- <span class="n">ndarray</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1">-</span><span class="si">%04d</span><span class="s1">.params'</span><span class="o">%</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">epoch</span><span class="p">),</span> <span class="n">arg_dict</span><span class="p">)</span></div>
+ <span class="n">ndarray</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1">-0000.params'</span><span class="o">%</span><span class="n">path</span><span class="p">,</span> <span class="n">arg_dict</span><span class="p">)</span></div>
<div class="viewcode-block" id="HybridBlock.forward"><a class="viewcode-back" href="../../../api/python/gluon/gluon.html#mxnet.gluon.HybridBlock.forward">[docs]</a> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">):</span>
<span class="sd">"""Defines the forward computation. Arguments can be either</span>
@@ -803,7 +747,7 @@
<div class="viewcode-block" id="SymbolBlock"><a class="viewcode-back" href="../../../api/python/gluon/gluon.html#mxnet.gluon.SymbolBlock">[docs]</a><span class="k">class</span> <span class="nc">SymbolBlock</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
<span class="sd">"""Construct block from symbol. This is useful for using pre-trained models</span>
-<span class="sd"> as feature extractors. For example, you may want to extract the output</span>
+<span class="sd"> as feature extractors. For example, you may want to extract get the output</span>
<span class="sd"> from fc2 layer in AlexNet.</span>
<span class="sd"> Parameters</span>
@@ -905,7 +849,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/contrib/rnn/conv_rnn_cell.html b/_modules/mxnet/gluon/contrib/rnn/conv_rnn_cell.html
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@@ -60,6 +60,7 @@
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<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
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+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
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+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
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Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/contrib/rnn/rnn_cell.html b/_modules/mxnet/gluon/contrib/rnn/rnn_cell.html
index ad42956..8eb786c 100644
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+++ b/_modules/mxnet/gluon/contrib/rnn/rnn_cell.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
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+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
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Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
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<li><a href="../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -231,7 +231,9 @@
<span class="kn">from</span> <span class="nn">multiprocessing.reduction</span> <span class="kn">import</span> <span class="n">ForkingPickler</span>
<span class="kn">import</span> <span class="nn">pickle</span>
<span class="kn">import</span> <span class="nn">io</span>
+<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">warnings</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">sampler</span> <span class="k">as</span> <span class="n">_sampler</span>
@@ -256,7 +258,7 @@
<span class="sd"> NDArray via shared memory."""</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">conn</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_conn</span> <span class="o">=</span> <span class="n">conn</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">conn</span> <span class="o">=</span> <span class="n">conn</span>
<span class="k">def</span> <span class="nf">send</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">obj</span><span class="p">):</span>
<span class="sd">"""Send object"""</span>
@@ -271,8 +273,7 @@
<span class="k">def</span> <span class="fm">__getattr__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">):</span>
<span class="sd">"""Emmulate conn"""</span>
- <span class="n">attr</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__dict__</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'_conn'</span><span class="p">,</span> <span class="bp">None</span><span class="p">)</span>
- <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">attr</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
+ <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conn</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">Queue</span><span class="p">(</span><span class="n">multiprocessing</span><span class="o">.</span><span class="n">queues</span><span class="o">.</span><span class="n">Queue</span><span class="p">):</span>
@@ -393,6 +394,9 @@
<span class="s2">"not be specified if batch_sampler is specified."</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_batch_sampler</span> <span class="o">=</span> <span class="n">batch_sampler</span>
+ <span class="k">if</span> <span class="n">num_workers</span> <span class="o">></span> <span class="mi">0</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">name</span> <span class="o">==</span> <span class="s1">'nt'</span><span class="p">:</span>
+ <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s2">"DataLoader does not support num_workers > 0 on Windows yet."</span><span class="p">)</span>
+ <span class="n">num_workers</span> <span class="o">=</span> <span class="mi">0</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_num_workers</span> <span class="o">=</span> <span class="n">num_workers</span>
<span class="k">if</span> <span class="n">batchify_fn</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="k">if</span> <span class="n">num_workers</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
@@ -422,11 +426,10 @@
<span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">batch</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_batch_sampler</span><span class="p">):</span>
<span class="n">key_queue</span><span class="o">.</span><span class="n">put</span><span class="p">((</span><span class="n">idx</span><span class="p">,</span> <span class="n">batch</span><span class="p">))</span>
- <span class="n">num_batches</span> <span class="o">=</span> <span class="n">idx</span> <span class="o">+</span> <span class="mi">1</span>
<span class="n">data_buffer</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">curr_idx</span> <span class="o">=</span> <span class="mi">0</span>
- <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">num_batches</span><span class="p">):</span>
+ <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_batch_sampler</span><span class="p">)):</span>
<span class="n">idx</span><span class="p">,</span> <span class="n">batch</span> <span class="o">=</span> <span class="n">data_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="n">data_buffer</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">batch</span>
<span class="k">while</span> <span class="n">curr_idx</span> <span class="ow">in</span> <span class="n">data_buffer</span><span class="p">:</span>
@@ -457,7 +460,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/data/dataset.html b/_modules/mxnet/gluon/data/dataset.html
index 50dfc4e..bf1f840 100644
--- a/_modules/mxnet/gluon/data/dataset.html
+++ b/_modules/mxnet/gluon/data/dataset.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -224,14 +224,12 @@
<span class="c1"># coding: utf-8</span>
<span class="c1"># pylint: disable=</span>
<span class="sd">"""Dataset container."""</span>
-<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'Dataset'</span><span class="p">,</span> <span class="s1">'SimpleDataset'</span><span class="p">,</span> <span class="s1">'ArrayDataset'</span><span class="p">,</span>
- <span class="s1">'RecordFileDataset'</span><span class="p">]</span>
+<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'Dataset'</span><span class="p">,</span> <span class="s1">'ArrayDataset'</span><span class="p">,</span> <span class="s1">'RecordFileDataset'</span><span class="p">]</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">recordio</span><span class="p">,</span> <span class="n">ndarray</span>
-
<div class="viewcode-block" id="Dataset"><a class="viewcode-back" href="../../../../api/python/gluon/data.html#mxnet.gluon.data.Dataset">[docs]</a><span class="k">class</span> <span class="nc">Dataset</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="sd">"""Abstract dataset class. All datasets should have this interface.</span>
@@ -244,106 +242,17 @@
<span class="k">raise</span> <span class="ne">NotImplementedError</span>
<span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">raise</span> <span class="ne">NotImplementedError</span>
-
-<div class="viewcode-block" id="Dataset.transform"><a class="viewcode-back" href="../../../../api/python/gluon/data.html#mxnet.gluon.data.Dataset.transform">[docs]</a> <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fn</span><span class="p">,</span> <span class="n">lazy</span><span class="o">=</span><span class="bp">True</span><span class="p">):</span>
- <span class="sd">"""Returns a new dataset with each sample transformed by the</span>
-<span class="sd"> transformer function `fn`.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> fn : callable</span>
-<span class="sd"> A transformer function that takes a sample as input and</span>
-<span class="sd"> returns the transformed sample.</span>
-<span class="sd"> lazy : bool, default True</span>
-<span class="sd"> If False, transforms all samples at once. Otherwise,</span>
-<span class="sd"> transforms each sample on demand. Note that if `fn`</span>
-<span class="sd"> is stochastic, you must set lazy to True or you will</span>
-<span class="sd"> get the same result on all epochs.</span>
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> Dataset</span>
-<span class="sd"> The transformed dataset.</span>
-<span class="sd"> """</span>
- <span class="n">trans</span> <span class="o">=</span> <span class="n">_LazyTransformDataset</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fn</span><span class="p">)</span>
- <span class="k">if</span> <span class="n">lazy</span><span class="p">:</span>
- <span class="k">return</span> <span class="n">trans</span>
- <span class="k">return</span> <span class="n">SimpleDataset</span><span class="p">([</span><span class="n">i</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">trans</span><span class="p">])</span></div>
-
-<div class="viewcode-block" id="Dataset.transform_first"><a class="viewcode-back" href="../../../../api/python/gluon/data.html#mxnet.gluon.data.Dataset.transform_first">[docs]</a> <span class="k">def</span> <span class="nf">transform_first</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fn</span><span class="p">,</span> <span class="n">lazy</span><span class="o">=</span><span class="bp">True</span><span class="p">):</span>
- <span class="sd">"""Returns a new dataset with the first element of each sample</span>
-<span class="sd"> transformed by the transformer function `fn`.</span>
-
-<span class="sd"> This is useful, for example, when you only want to transform data</span>
-<span class="sd"> while keeping label as is.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> fn : callable</span>
-<span class="sd"> A transformer function that takes the first elemtn of a sample</span>
-<span class="sd"> as input and returns the transformed element.</span>
-<span class="sd"> lazy : bool, default True</span>
-<span class="sd"> If False, transforms all samples at once. Otherwise,</span>
-<span class="sd"> transforms each sample on demand. Note that if `fn`</span>
-<span class="sd"> is stochastic, you must set lazy to True or you will</span>
-<span class="sd"> get the same result on all epochs.</span>
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> Dataset</span>
-<span class="sd"> The transformed dataset.</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="nf">base_fn</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">):</span>
- <span class="k">if</span> <span class="n">args</span><span class="p">:</span>
- <span class="k">return</span> <span class="p">(</span><span class="n">fn</span><span class="p">(</span><span class="n">x</span><span class="p">),)</span> <span class="o">+</span> <span class="n">args</span>
- <span class="k">return</span> <span class="n">fn</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">base_fn</span><span class="p">,</span> <span class="n">lazy</span><span class="p">)</span></div></div>
-
-
-<div class="viewcode-block" id="SimpleDataset"><a class="viewcode-back" href="../../../../api/python/gluon/data.html#mxnet.gluon.data.SimpleDataset">[docs]</a><span class="k">class</span> <span class="nc">SimpleDataset</span><span class="p">(</span><span class="n">Dataset</span><span class="p">):</span>
- <span class="sd">"""Simple Dataset wrapper for lists and arrays.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> data : dataset-like object</span>
-<span class="sd"> Any object that implements `len()` and `[]`.</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="n">data</span>
-
- <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span></div>
-
-
-<span class="k">class</span> <span class="nc">_LazyTransformDataset</span><span class="p">(</span><span class="n">Dataset</span><span class="p">):</span>
- <span class="sd">"""Lazily transformed dataset."""</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">fn</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="n">data</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_fn</span> <span class="o">=</span> <span class="n">fn</span>
-
- <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
- <span class="n">item</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">item</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fn</span><span class="p">(</span><span class="o">*</span><span class="n">item</span><span class="p">)</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fn</span><span class="p">(</span><span class="n">item</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">NotImplementedError</span></div>
<div class="viewcode-block" id="ArrayDataset"><a class="viewcode-back" href="../../../../api/python/gluon/data.html#mxnet.gluon.data.ArrayDataset">[docs]</a><span class="k">class</span> <span class="nc">ArrayDataset</span><span class="p">(</span><span class="n">Dataset</span><span class="p">):</span>
- <span class="sd">"""A dataset that combines multiple dataset-like objects, e.g.</span>
-<span class="sd"> Datasets, lists, arrays, etc.</span>
+ <span class="sd">"""A dataset of multiple arrays.</span>
-<span class="sd"> The i-th sample is defined as `(x1[i], x2[i], ...)`.</span>
+<span class="sd"> The i-th sample is `(x1[i], x2[i], ...)`.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
-<span class="sd"> *args : one or more dataset-like objects</span>
+<span class="sd"> *args : one or more arrays</span>
<span class="sd"> The data arrays.</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">):</span>
@@ -352,8 +261,8 @@
<span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">data</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">args</span><span class="p">):</span>
<span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">_length</span><span class="p">,</span> \
- <span class="s2">"All arrays must have the same length; array[0] has length </span><span class="si">%d</span><span class="s2"> "</span> \
- <span class="s2">"while array[</span><span class="si">%d</span><span class="s2">] has </span><span class="si">%d</span><span class="s2">."</span> <span class="o">%</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_length</span><span class="p">,</span> <span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</spa [...]
+ <span class="s2">"All arrays must have the same length. But the first has </span><span class="si">%s</span><span class="s2"> "</span> \
+ <span class="s2">"while the </span><span class="si">%d</span><span class="s2">-th has </span><span class="si">%d</span><span class="s2">."</span><span class="o">%</span><span class="p">(</span><span class="n">length</span><span class="p">,</span> <span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">.</span><span class="n">NDArray</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span>< [...]
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
@@ -387,42 +296,6 @@
<span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_record</span><span class="o">.</span><span class="n">keys</span><span class="p">)</span></div>
-
-<span class="n">apache_repo_url</span> <span class="o">=</span> <span class="s1">'https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/'</span>
-
-<span class="k">class</span> <span class="nc">_DownloadedDataset</span><span class="p">(</span><span class="n">Dataset</span><span class="p">):</span>
- <span class="sd">"""Base class for MNIST, cifar10, etc."""</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">repo_dir</span><span class="p">,</span> <span class="n">root</span><span class="p">,</span> <span class="n">transform</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_root</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">expanduser</span><span class="p">(</span><span class="n">root</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_repo_dir</span> <span class="o">=</span> <span class="n">repo_dir</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_transform</span> <span class="o">=</span> <span class="n">transform</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="bp">None</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_label</span> <span class="o">=</span> <span class="bp">None</span>
-
- <span class="n">repo_url</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'MXNET_GLUON_REPO'</span><span class="p">,</span> <span class="n">apache_repo_url</span><span class="p">)</span>
- <span class="k">if</span> <span class="n">repo_url</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">'/'</span><span class="p">:</span>
- <span class="n">repo_url</span> <span class="o">=</span> <span class="n">repo_url</span><span class="o">+</span><span class="s1">'/'</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_base_url</span> <span class="o">=</span> <span class="n">repo_url</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_root</span><span class="p">):</span>
- <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_root</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_get_data</span><span class="p">()</span>
-
- <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transform</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="p">[</span><span class="n">idx</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">_label</span><span class="p">[</span><span class="n">idx</span><span class="p">])</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span><span class="p">[</span><span class="n">idx</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">_label</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span>
-
- <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_label</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">_get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">raise</span> <span class="ne">NotImplementedError</span>
-
- <span class="k">def</span> <span class="nf">_get_url</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
- <span class="k">return</span> <span class="s1">'{base_url}gluon/dataset/{repo_dir}/{filename}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">base_url</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_base_url</span><span class="p">,</span>
- <span class="n">repo_dir</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_repo_dir</span><span class="p">,</span>
- <span class="n">filename</span><span class="o">=</span><span class="n">filename</span><span class="p">)</span>
</pre></div>
</div>
</div>
@@ -439,7 +312,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/data/sampler.html b/_modules/mxnet/gluon/data/sampler.html
index 9238705..3f5b6f1 100644
--- a/_modules/mxnet/gluon/data/sampler.html
+++ b/_modules/mxnet/gluon/data/sampler.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -358,7 +358,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/data/vision/datasets.html b/_modules/mxnet/gluon/data/vision/datasets.html
deleted file mode 100644
index 04806a4..0000000
--- a/_modules/mxnet/gluon/data/vision/datasets.html
+++ /dev/null
@@ -1,567 +0,0 @@
-<!DOCTYPE html>
-
-<html lang="en">
-<head>
-<meta charset="utf-8"/>
-<meta content="IE=edge" http-equiv="X-UA-Compatible"/>
-<meta content="width=device-width, initial-scale=1" name="viewport"/>
-<title>mxnet.gluon.data.vision.datasets — mxnet documentation</title>
-<link crossorigin="anonymous" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap.min.css" integrity="sha384-1q8mTJOASx8j1Au+a5WDVnPi2lkFfwwEAa8hDDdjZlpLegxhjVME1fgjWPGmkzs7" rel="stylesheet"/>
-<link href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css" rel="stylesheet"/>
-<link href="../../../../../_static/basic.css" rel="stylesheet" type="text/css">
-<link href="../../../../../_static/pygments.css" rel="stylesheet" type="text/css">
-<link href="../../../../../_static/mxnet.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT: '../../../../../',
- VERSION: '',
- COLLAPSE_INDEX: false,
- FILE_SUFFIX: '.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: ''
- };
- </script>
-<script src="https://code.jquery.com/jquery-1.11.1.min.js" type="text/javascript"></script>
-<script src="../../../../../_static/underscore.js" type="text/javascript"></script>
-<script src="../../../../../_static/searchtools_custom.js" type="text/javascript"></script>
-<script src="../../../../../_static/doctools.js" type="text/javascript"></script>
-<script src="../../../../../_static/selectlang.js" type="text/javascript"></script>
-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML" type="text/javascript"></script>
-<script type="text/javascript"> jQuery(function() { Search.loadIndex("/searchindex.js"); Search.init();}); </script>
-<script>
- (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
- (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new
- Date();a=s.createElement(o),
- m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
- })(window,document,'script','https://www.google-analytics.com/analytics.js','ga');
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- ga('create', 'UA-96378503-1', 'auto');
- ga('send', 'pageview');
-
- </script>
-<!-- -->
-<!-- <script type="text/javascript" src="../../../../../_static/jquery.js"></script> -->
-<!-- -->
-<!-- <script type="text/javascript" src="../../../../../_static/underscore.js"></script> -->
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-<!-- <script type="text/javascript" src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script> -->
-<!-- -->
-<link href="../../../../index.html" rel="up" title="Module code">
-<link href="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet-icon.png" rel="icon" type="image/png"/>
-</link></link></link></head>
-<body background="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet-background-compressed.jpeg" role="document">
-<div class="content-block"><div class="navbar navbar-fixed-top">
-<div class="container" id="navContainer">
-<div class="innder" id="header-inner">
-<h1 id="logo-wrap">
-<a href="../../../../../" id="logo"><img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet_logo.png"/></a>
-</h1>
-<nav class="nav-bar" id="main-nav">
-<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
-<span id="dropdown-menu-position-anchor">
-<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
-<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
-<li><a class="main-nav-link" href="../../../../../gluon/index.html">About</a></li>
-<li><a class="main-nav-link" href="http://gluon.mxnet.io">Tutorials</a></li>
-</ul>
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-<h1>Source code for mxnet.gluon.data.vision.datasets</h1><div class="highlight"><pre>
-<span></span># Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License. You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied. See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# coding: utf-8
-# pylint: disable=
-"""Dataset container."""
-__all__ = ['MNIST', 'FashionMNIST', 'CIFAR10', 'CIFAR100',
- 'ImageRecordDataset', 'ImageFolderDataset']
-
-import os
-import gzip
-import tarfile
-import struct
-import warnings
-import numpy as np
-
-from .. import dataset
-from ...utils import download, check_sha1
-from .... import nd, image, recordio
-
-
-<div class="viewcode-block" id="MNIST"><a class="viewcode-back" href="../../../../../api/python/gluon/data.html#mxnet.gluon.data.vision.datasets.MNIST">[docs]</a>class MNIST(dataset._DownloadedDataset):
- """MNIST handwritten digits dataset from http://yann.lecun.com/exdb/mnist
-
- Each sample is an image (in 3D NDArray) with shape (28, 28, 1).
-
- Parameters
- ----------
- root : str, default '~/.mxnet/datasets/mnist'
- Path to temp folder for storing data.
- train : bool, default True
- Whether to load the training or testing set.
- transform : function, default None
- A user defined callback that transforms each sample. For example:
- ::
-
- transform=lambda data, label: (data.astype(np.float32)/255, label)
-
- """
- def __init__(self, root=os.path.join('~', '.mxnet', 'datasets', 'mnist'),
- train=True, transform=None):
- self._train = train
- self._train_data = ('train-images-idx3-ubyte.gz',
- '6c95f4b05d2bf285e1bfb0e7960c31bd3b3f8a7d')
- self._train_label = ('train-labels-idx1-ubyte.gz',
- '2a80914081dc54586dbdf242f9805a6b8d2a15fc')
- self._test_data = ('t10k-images-idx3-ubyte.gz',
- 'c3a25af1f52dad7f726cce8cacb138654b760d48')
- self._test_label = ('t10k-labels-idx1-ubyte.gz',
- '763e7fa3757d93b0cdec073cef058b2004252c17')
- super(MNIST, self).__init__('mnist', root, transform)
-
- def _get_data(self):
- if self._train:
- data, label = self._train_data, self._train_label
- else:
- data, label = self._test_data, self._test_label
-
- data_file = download(self._get_url(data[0]),
- path=self._root,
- sha1_hash=data[1])
- label_file = download(self._get_url(label[0]),
- path=self._root,
- sha1_hash=label[1])
-
- with gzip.open(label_file, 'rb') as fin:
- struct.unpack(">II", fin.read(8))
- label = np.fromstring(fin.read(), dtype=np.uint8).astype(np.int32)
-
- with gzip.open(data_file, 'rb') as fin:
- struct.unpack(">IIII", fin.read(16))
- data = np.fromstring(fin.read(), dtype=np.uint8)
- data = data.reshape(len(label), 28, 28, 1)
-
- self._data = nd.array(data, dtype=data.dtype)
- self._label = label</div>
-
-
-<div class="viewcode-block" id="FashionMNIST"><a class="viewcode-back" href="../../../../../api/python/gluon/data.html#mxnet.gluon.data.vision.datasets.FashionMNIST">[docs]</a>class FashionMNIST(MNIST):
- """A dataset of Zalando's article images consisting of fashion products,
- a drop-in replacement of the original MNIST dataset from
- https://github.com/zalandoresearch/fashion-mnist
-
- Each sample is an image (in 3D NDArray) with shape (28, 28, 1).
-
- Parameters
- ----------
- root : str, default '~/.mxnet/datasets/fashion-mnist'
- Path to temp folder for storing data.
- train : bool, default True
- Whether to load the training or testing set.
- transform : function, default None
- A user defined callback that transforms each sample. For example:
- ::
-
- transform=lambda data, label: (data.astype(np.float32)/255, label)
-
- """
- def __init__(self, root=os.path.join('~', '.mxnet', 'datasets', 'fashion-mnist'),
- train=True, transform=None):
- self._train = train
- self._train_data = ('train-images-idx3-ubyte.gz',
- '0cf37b0d40ed5169c6b3aba31069a9770ac9043d')
- self._train_label = ('train-labels-idx1-ubyte.gz',
- '236021d52f1e40852b06a4c3008d8de8aef1e40b')
- self._test_data = ('t10k-images-idx3-ubyte.gz',
- '626ed6a7c06dd17c0eec72fa3be1740f146a2863')
- self._test_label = ('t10k-labels-idx1-ubyte.gz',
- '17f9ab60e7257a1620f4ad76bbbaf857c3920701')
- super(MNIST, self).__init__('fashion-mnist', root, transform) # pylint: disable=bad-super-call</div>
-
-
-<div class="viewcode-block" id="CIFAR10"><a class="viewcode-back" href="../../../../../api/python/gluon/data.html#mxnet.gluon.data.vision.datasets.CIFAR10">[docs]</a>class CIFAR10(dataset._DownloadedDataset):
- """CIFAR10 image classification dataset from https://www.cs.toronto.edu/~kriz/cifar.html
-
- Each sample is an image (in 3D NDArray) with shape (32, 32, 1).
-
- Parameters
- ----------
- root : str, default '~/.mxnet/datasets/cifar10'
- Path to temp folder for storing data.
- train : bool, default True
- Whether to load the training or testing set.
- transform : function, default None
- A user defined callback that transforms each sample. For example:
- ::
-
- transform=lambda data, label: (data.astype(np.float32)/255, label)
-
- """
- def __init__(self, root=os.path.join('~', '.mxnet', 'datasets', 'cifar10'),
- train=True, transform=None):
- self._train = train
- self._archive_file = ('cifar-10-binary.tar.gz', 'fab780a1e191a7eda0f345501ccd62d20f7ed891')
- self._train_data = [('data_batch_1.bin', 'aadd24acce27caa71bf4b10992e9e7b2d74c2540'),
- ('data_batch_2.bin', 'c0ba65cce70568cd57b4e03e9ac8d2a5367c1795'),
- ('data_batch_3.bin', '1dd00a74ab1d17a6e7d73e185b69dbf31242f295'),
- ('data_batch_4.bin', 'aab85764eb3584312d3c7f65fd2fd016e36a258e'),
- ('data_batch_5.bin', '26e2849e66a845b7f1e4614ae70f4889ae604628')]
- self._test_data = [('test_batch.bin', '67eb016db431130d61cd03c7ad570b013799c88c')]
- super(CIFAR10, self).__init__('cifar10', root, transform)
-
- def _read_batch(self, filename):
- with open(filename, 'rb') as fin:
- data = np.fromstring(fin.read(), dtype=np.uint8).reshape(-1, 3072+1)
-
- return data[:, 1:].reshape(-1, 3, 32, 32).transpose(0, 2, 3, 1), \
- data[:, 0].astype(np.int32)
-
- def _get_data(self):
- if any(not os.path.exists(path) or not check_sha1(path, sha1)
- for path, sha1 in ((os.path.join(self._root, name), sha1)
- for name, sha1 in self._train_data + self._test_data)):
- filename = download(self._get_url(self._archive_file[0]),
- path=self._root,
- sha1_hash=self._archive_file[1])
-
- with tarfile.open(filename) as tar:
- tar.extractall(self._root)
-
- if self._train:
- data_files = self._train_data
- else:
- data_files = self._test_data
- data, label = zip(*(self._read_batch(os.path.join(self._root, name))
- for name, _ in data_files))
- data = np.concatenate(data)
- label = np.concatenate(label)
-
- self._data = nd.array(data, dtype=data.dtype)
- self._label = label</div>
-
-
-<div class="viewcode-block" id="CIFAR100"><a class="viewcode-back" href="../../../../../api/python/gluon/data.html#mxnet.gluon.data.vision.datasets.CIFAR100">[docs]</a>class CIFAR100(CIFAR10):
- """CIFAR100 image classification dataset from https://www.cs.toronto.edu/~kriz/cifar.html
-
- Each sample is an image (in 3D NDArray) with shape (32, 32, 1).
-
- Parameters
- ----------
- root : str, default '~/.mxnet/datasets/cifar100'
- Path to temp folder for storing data.
- fine_label : bool, default False
- Whether to load the fine-grained (100 classes) or coarse-grained (20 super-classes) labels.
- train : bool, default True
- Whether to load the training or testing set.
- transform : function, default None
- A user defined callback that transforms each sample. For example:
- ::
-
- transform=lambda data, label: (data.astype(np.float32)/255, label)
-
- """
- def __init__(self, root=os.path.join('~', '.mxnet', 'datasets', 'cifar100'),
- fine_label=False, train=True, transform=None):
- self._train = train
- self._archive_file = ('cifar-100-binary.tar.gz', 'a0bb982c76b83111308126cc779a992fa506b90b')
- self._train_data = [('train.bin', 'e207cd2e05b73b1393c74c7f5e7bea451d63e08e')]
- self._test_data = [('test.bin', '8fb6623e830365ff53cf14adec797474f5478006')]
- self._fine_label = fine_label
- super(CIFAR10, self).__init__('cifar100', root, transform) # pylint: disable=bad-super-call
-
- def _read_batch(self, filename):
- with open(filename, 'rb') as fin:
- data = np.fromstring(fin.read(), dtype=np.uint8).reshape(-1, 3072+2)
-
- return data[:, 2:].reshape(-1, 3, 32, 32).transpose(0, 2, 3, 1), \
- data[:, 0+self._fine_label].astype(np.int32)</div>
-
-
-<div class="viewcode-block" id="ImageRecordDataset"><a class="viewcode-back" href="../../../../../api/python/gluon/data.html#mxnet.gluon.data.vision.datasets.ImageRecordDataset">[docs]</a>class ImageRecordDataset(dataset.RecordFileDataset):
- """A dataset wrapping over a RecordIO file containing images.
-
- Each sample is an image and its corresponding label.
-
- Parameters
- ----------
- filename : str
- Path to rec file.
- flag : {0, 1}, default 1
- If 0, always convert images to greyscale.
-
- If 1, always convert images to colored (RGB).
- transform : function, default None
- A user defined callback that transforms each sample. For example:
- ::
-
- transform=lambda data, label: (data.astype(np.float32)/255, label)
-
- """
- def __init__(self, filename, flag=1, transform=None):
- super(ImageRecordDataset, self).__init__(filename)
- self._flag = flag
- self._transform = transform
-
- def __getitem__(self, idx):
- record = super(ImageRecordDataset, self).__getitem__(idx)
- header, img = recordio.unpack(record)
- if self._transform is not None:
- return self._transform(image.imdecode(img, self._flag), header.label)
- return image.imdecode(img, self._flag), header.label</div>
-
-
-<div class="viewcode-block" id="ImageFolderDataset"><a class="viewcode-back" href="../../../../../api/python/gluon/data.html#mxnet.gluon.data.vision.datasets.ImageFolderDataset">[docs]</a>class ImageFolderDataset(dataset.Dataset):
- """A dataset for loading image files stored in a folder structure like::
-
- root/car/0001.jpg
- root/car/xxxa.jpg
- root/car/yyyb.jpg
- root/bus/123.jpg
- root/bus/023.jpg
- root/bus/wwww.jpg
-
- Parameters
- ----------
- root : str
- Path to root directory.
- flag : {0, 1}, default 1
- If 0, always convert loaded images to greyscale (1 channel).
- If 1, always convert loaded images to colored (3 channels).
- transform : callable, default None
- A function that takes data and label and transforms them:
- ::
-
- transform = lambda data, label: (data.astype(np.float32)/255, label)
-
- Attributes
- ----------
- synsets : list
- List of class names. `synsets[i]` is the name for the integer label `i`
- items : list of tuples
- List of all images in (filename, label) pairs.
- """
- def __init__(self, root, flag=1, transform=None):
- self._root = os.path.expanduser(root)
- self._flag = flag
- self._transform = transform
- self._exts = ['.jpg', '.jpeg', '.png']
- self._list_images(self._root)
-
- def _list_images(self, root):
- self.synsets = []
- self.items = []
-
- for folder in sorted(os.listdir(root)):
- path = os.path.join(root, folder)
- if not os.path.isdir(path):
- warnings.warn('Ignoring %s, which is not a directory.'%path, stacklevel=3)
- continue
- label = len(self.synsets)
- self.synsets.append(folder)
- for filename in sorted(os.listdir(path)):
- filename = os.path.join(path, filename)
- ext = os.path.splitext(filename)[1]
- if ext.lower() not in self._exts:
- warnings.warn('Ignoring %s of type %s. Only support %s'%(
- filename, ext, ', '.join(self._exts)))
- continue
- self.items.append((filename, label))
-
- def __getitem__(self, idx):
- img = image.imread(self.items[idx][0], self._flag)
- label = self.items[idx][1]
- if self._transform is not None:
- return self._transform(img, label)
- return img, label
-
- def __len__(self):
- return len(self.items)</div>
-</pre></div>
-</div>
-</div>
-<div aria-label="main navigation" class="sphinxsidebar rightsidebar" role="navigation">
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-<div class="container">
-<div>
-<img height="60" src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/apache_incubator_logo.png"/>
-<p>
- Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
- </p>
-<p>
- "Copyright © 2017-2018, The Apache Software Foundation
- Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
- </p>
-</div>
-</div>
-</div>
-</div> <!-- pagename != index -->
-</div>
-<script crossorigin="anonymous" integrity="sha384-0mSbJDEHialfmuBBQP6A4Qrprq5OVfW37PRR3j5ELqxss1yVqOtnepnHVP9aJ7xS" src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js"></script>
-<script src="../../../../../_static/js/sidebar.js" type="text/javascript"></script>
-<script src="../../../../../_static/js/search.js" type="text/javascript"></script>
-<script src="../../../../../_static/js/navbar.js" type="text/javascript"></script>
-<script src="../../../../../_static/js/clipboard.min.js" type="text/javascript"></script>
-<script src="../../../../../_static/js/copycode.js" type="text/javascript"></script>
-<script src="../../../../../_static/js/page.js" type="text/javascript"></script>
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- $('body').ready(function () {
- $('body').css('visibility', 'visible');
- });
- </script>
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\ No newline at end of file
diff --git a/_modules/mxnet/gluon/loss.html b/_modules/mxnet/gluon/loss.html
index d444792..234573d 100644
--- a/_modules/mxnet/gluon/loss.html
+++ b/_modules/mxnet/gluon/loss.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -435,8 +435,8 @@
<span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">pred</span><span class="p">,</span> <span class="n">label</span><span class="p">,</span> <span class="n">sample_weight</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
<span class="n">label</span> <span class="o">=</span> <span class="n">_reshape_like</span><span class="p">(</span><span class="n">F</span><span class="p">,</span> <span class="n">label</span><span class="p">,</span> <span class="n">pred</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_from_sigmoid</span><span class="p">:</span>
- <span class="c1"># We use the stable formula: max(x, 0) - x * z + log(1 + exp(-abs(x)))</span>
- <span class="n">loss</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">pred</span><span class="p">)</span> <span class="o">-</span> <span class="n">pred</span> <span class="o">*</span> <span class="n">label</span> <span class="o">+</span> <span class="n">F</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="o">-</span><span class="n" [...]
+ <span class="n">max_val</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="o">-</span><span class="n">pred</span><span class="p">)</span>
+ <span class="n">loss</span> <span class="o">=</span> <span class="n">pred</span> <span class="o">-</span> <span class="n">pred</span><span class="o">*</span><span class="n">label</span> <span class="o">+</span> <span class="n">max_val</span> <span class="o">+</span> <span class="n">F</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">F</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">- [...]
<span class="k">else</span><span class="p">:</span>
<span class="n">loss</span> <span class="o">=</span> <span class="o">-</span><span class="p">(</span><span class="n">F</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">pred</span><span class="o">+</span><span class="mf">1e-12</span><span class="p">)</span><span class="o">*</span><span class="n">label</span> <span class="o">+</span> <span class="n">F</span><span class="o">.</span><span class="n">log</span><span class="p">(</span>< [...]
<span class="n">loss</span> <span class="o">=</span> <span class="n">_apply_weighting</span><span class="p">(</span><span class="n">F</span><span class="p">,</span> <span class="n">loss</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_weight</span><span class="p">,</span> <span class="n">sample_weight</span><span class="p">)</span>
@@ -825,8 +825,8 @@
<span class="sd"> L = \sum_i \log(1 + \exp(- {pred}_i \cdot {label}_i))</span>
<span class="sd"> where `pred` is the classifier prediction and `label` is the target tensor</span>
-<span class="sd"> containing values -1 or 1 (0 or 1 if `label_format` is binary).</span>
-<span class="sd"> `pred` and `label` can have arbitrary shape as long as they have the same number of elements.</span>
+<span class="sd"> containing values -1 or 1. `pred` and `label` can have arbitrary shape as</span>
+<span class="sd"> long as they have the same number of elements.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
@@ -834,15 +834,12 @@
<span class="sd"> Global scalar weight for loss.</span>
<span class="sd"> batch_axis : int, default 0</span>
<span class="sd"> The axis that represents mini-batch.</span>
-<span class="sd"> label_format : str, default 'signed'</span>
-<span class="sd"> Can be either 'signed' or 'binary'. If the label_format is 'signed', all label values should</span>
-<span class="sd"> be either -1 or 1. If the label_format is 'binary', all label values should be either</span>
-<span class="sd"> 0 or 1.</span>
+
<span class="sd"> Inputs:</span>
<span class="sd"> - **pred**: prediction tensor with arbitrary shape.</span>
-<span class="sd"> - **label**: truth tensor with values -1/1 (label_format is 'signed')</span>
-<span class="sd"> or 0/1 (label_format is 'binary'). Must have the same size as pred.</span>
+<span class="sd"> - **label**: truth tensor with values -1 or 1. Must have the same size</span>
+<span class="sd"> as pred.</span>
<span class="sd"> - **sample_weight**: element-wise weighting tensor. Must be broadcastable</span>
<span class="sd"> to the same shape as pred. For example, if pred has shape (64, 10)</span>
<span class="sd"> and you want to weigh each sample in the batch separately,</span>
@@ -852,19 +849,12 @@
<span class="sd"> - **loss**: loss tensor with shape (batch_size,). Dimenions other than</span>
<span class="sd"> batch_axis are averaged out.</span>
<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">weight</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">batch_axis</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">label_format</span><span class="o">=</span><span class="s1">'signed'</span><span class="p">,</span> <span class="o">**</spa [...]
+ <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">weight</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">batch_axis</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="nb">super</span><span class="p">(</span><span class="n">LogisticLoss</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">weight</span><span class="p">,</span> <span class="n">batch_axis</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_label_format</span> <span class="o">=</span> <span class="n">label_format</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_label_format</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"signed"</span><span class="p">,</span> <span class="s2">"binary"</span><span class="p">]:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"label_format can only be signed or binary, recieved </span><span class="si">%s</span><span class="s2">."</span>
- <span class="o">%</span> <span class="n">label_format</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">pred</span><span class="p">,</span> <span class="n">label</span><span class="p">,</span> <span class="n">sample_weight</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
<span class="n">label</span> <span class="o">=</span> <span class="n">_reshape_like</span><span class="p">(</span><span class="n">F</span><span class="p">,</span> <span class="n">label</span><span class="p">,</span> <span class="n">pred</span><span class="p">)</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_label_format</span> <span class="o">==</span> <span class="s1">'signed'</span><span class="p">:</span>
- <span class="n">label</span> <span class="o">=</span> <span class="p">(</span><span class="n">label</span> <span class="o">+</span> <span class="mf">1.0</span><span class="p">)</span> <span class="o">/</span> <span class="mf">2.0</span> <span class="c1"># Transform label to be either 0 or 1</span>
- <span class="c1"># Use a stable formula in computation</span>
- <span class="n">loss</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">pred</span><span class="p">)</span> <span class="o">-</span> <span class="n">pred</span> <span class="o">*</span> <span class="n">label</span> <span class="o">+</span> <span class="n">F</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="o">-</span><span class="n">F</ [...]
+ <span class="n">loss</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">F</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="n">pred</span> <span class="o">*</span> <span class="n">label</span><span class="p">))</span>
<span class="n">loss</span> <span class="o">=</span> <span class="n">_apply_weighting</span><span class="p">(</span><span class="n">F</span><span class="p">,</span> <span class="n">loss</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_weight</span><span class="p">,</span> <span class="n">sample_weight</span><span class="p">)</span>
<span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">loss</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_batch_axis</span><span class="p">,</span> <span class="n">exclude</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span></div>
@@ -928,7 +918,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/model_zoo/vision.html b/_modules/mxnet/gluon/model_zoo/vision.html
index e221871..9344f4b 100644
--- a/_modules/mxnet/gluon/model_zoo/vision.html
+++ b/_modules/mxnet/gluon/model_zoo/vision.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -234,7 +234,6 @@
<span class="sd">- `SqueezeNet`_</span>
<span class="sd">- `VGG`_</span>
<span class="sd">- `MobileNet`_</span>
-<span class="sd">- `MobileNetV2`_</span>
<span class="sd">You can construct a model with random weights by calling its constructor:</span>
@@ -246,8 +245,8 @@
<span class="sd"> squeezenet = vision.squeezenet1_0()</span>
<span class="sd"> densenet = vision.densenet_161()</span>
-<span class="sd">We provide pre-trained models for all the listed models.</span>
-<span class="sd">These models can constructed by passing ``pretrained=True``:</span>
+<span class="sd">We provide pre-trained models for all the models except ResNet V2.</span>
+<span class="sd">These can constructed by passing ``pretrained=True``:</span>
<span class="sd">.. code::</span>
@@ -255,6 +254,7 @@
<span class="sd"> resnet18 = vision.resnet18_v1(pretrained=True)</span>
<span class="sd"> alexnet = vision.alexnet(pretrained=True)</span>
+<span class="sd">Pretrained models are converted from torchvision.</span>
<span class="sd">All pre-trained models expect input images normalized in the same way,</span>
<span class="sd">i.e. mini-batches of 3-channel RGB images of shape (N x 3 x H x W),</span>
<span class="sd">where N is the batch size, and H and W are expected to be at least 224.</span>
@@ -276,7 +276,6 @@
<span class="sd">.. _SqueezeNet: https://arxiv.org/abs/1602.07360</span>
<span class="sd">.. _VGG: https://arxiv.org/abs/1409.1556</span>
<span class="sd">.. _MobileNet: https://arxiv.org/abs/1704.04861</span>
-<span class="sd">.. _MobileNetV2: https://arxiv.org/abs/1801.04381</span>
<span class="sd">"""</span>
<span class="kn">from</span> <span class="nn">.alexnet</span> <span class="kn">import</span> <span class="o">*</span>
@@ -293,7 +292,6 @@
<span class="kn">from</span> <span class="nn">.mobilenet</span> <span class="kn">import</span> <span class="o">*</span>
-
<div class="viewcode-block" id="get_model"><a class="viewcode-back" href="../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.get_model">[docs]</a><span class="k">def</span> <span class="nf">get_model</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">"""Returns a pre-defined model by name</span>
@@ -344,16 +342,12 @@
<span class="s1">'mobilenet1.0'</span><span class="p">:</span> <span class="n">mobilenet1_0</span><span class="p">,</span>
<span class="s1">'mobilenet0.75'</span><span class="p">:</span> <span class="n">mobilenet0_75</span><span class="p">,</span>
<span class="s1">'mobilenet0.5'</span><span class="p">:</span> <span class="n">mobilenet0_5</span><span class="p">,</span>
- <span class="s1">'mobilenet0.25'</span><span class="p">:</span> <span class="n">mobilenet0_25</span><span class="p">,</span>
- <span class="s1">'mobilenetv2_1.0'</span><span class="p">:</span> <span class="n">mobilenet_v2_1_0</span><span class="p">,</span>
- <span class="s1">'mobilenetv2_0.75'</span><span class="p">:</span> <span class="n">mobilenet_v2_0_75</span><span class="p">,</span>
- <span class="s1">'mobilenetv2_0.5'</span><span class="p">:</span> <span class="n">mobilenet_v2_0_5</span><span class="p">,</span>
- <span class="s1">'mobilenetv2_0.25'</span><span class="p">:</span> <span class="n">mobilenet_v2_0_25</span>
+ <span class="s1">'mobilenet0.25'</span><span class="p">:</span> <span class="n">mobilenet0_25</span>
<span class="p">}</span>
<span class="n">name</span> <span class="o">=</span> <span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
<span class="k">if</span> <span class="n">name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">models</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
- <span class="s1">'Model </span><span class="si">%s</span><span class="s1"> is not supported. Available options are</span><span class="se">\n\t</span><span class="si">%s</span><span class="s1">'</span> <span class="o">%</span> <span class="p">(</span>
+ <span class="s1">'Model </span><span class="si">%s</span><span class="s1"> is not supported. Available options are</span><span class="se">\n\t</span><span class="si">%s</span><span class="s1">'</span><span class="o">%</span><span class="p">(</span>
<span class="n">name</span><span class="p">,</span> <span class="s1">'</span><span class="se">\n\t</span><span class="s1">'</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="nb">sorted</span><span class="p">(</span><span class="n">models</span><span class="o">.</span><span class="n">keys</span><span class="p">()))))</span>
<span class="k">return</span> <span class="n">models</span><span class="p">[</span><span class="n">name</span><span class="p">](</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
</pre></div>
@@ -372,7 +366,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/model_zoo/vision/alexnet.html b/_modules/mxnet/gluon/model_zoo/vision/alexnet.html
index f0bda97..e77abdf 100644
--- a/_modules/mxnet/gluon/model_zoo/vision/alexnet.html
+++ b/_modules/mxnet/gluon/model_zoo/vision/alexnet.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -226,8 +226,6 @@
<span class="sd">"""Alexnet, implemented in Gluon."""</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'AlexNet'</span><span class="p">,</span> <span class="s1">'alexnet'</span><span class="p">]</span>
-<span class="kn">import</span> <span class="nn">os</span>
-
<span class="kn">from</span> <span class="nn">....context</span> <span class="kn">import</span> <span class="n">cpu</span>
<span class="kn">from</span> <span class="nn">...block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">nn</span>
@@ -273,8 +271,7 @@
<span class="k">return</span> <span class="n">x</span></div>
<span class="c1"># Constructor</span>
-<div class="viewcode-block" id="alexnet"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.alexnet">[docs]</a><span class="k">def</span> <span class="nf">alexnet</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</span><span class="p">(),</span>
- <span class="n">root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'models'</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="alexnet"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.alexnet">[docs]</a><span class="k">def</span> <span class="nf">alexnet</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</span><span class="p">(),</span> <span class="n">root</span><s [...]
<span class="sa">r</span><span class="sd">"""AlexNet model from the `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.</span>
<span class="sd"> Parameters</span>
@@ -307,7 +304,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/model_zoo/vision/densenet.html b/_modules/mxnet/gluon/model_zoo/vision/densenet.html
index bbb268b..511ac02 100644
--- a/_modules/mxnet/gluon/model_zoo/vision/densenet.html
+++ b/_modules/mxnet/gluon/model_zoo/vision/densenet.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -226,12 +226,10 @@
<span class="sd">"""DenseNet, implemented in Gluon."""</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'DenseNet'</span><span class="p">,</span> <span class="s1">'densenet121'</span><span class="p">,</span> <span class="s1">'densenet161'</span><span class="p">,</span> <span class="s1">'densenet169'</span><span class="p">,</span> <span class="s1">'densenet201'</span><span class="p">]</span>
-<span class="kn">import</span> <span class="nn">os</span>
-
<span class="kn">from</span> <span class="nn">....context</span> <span class="kn">import</span> <span class="n">cpu</span>
<span class="kn">from</span> <span class="nn">...block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">nn</span>
-<span class="kn">from</span> <span class="nn">...contrib.nn</span> <span class="kn">import</span> <span class="n">HybridConcurrent</span><span class="p">,</span> <span class="n">Identity</span>
+<span class="kn">from</span> <span class="nn">..custom_layers</span> <span class="kn">import</span> <span class="n">HybridConcurrent</span><span class="p">,</span> <span class="n">Identity</span>
<span class="c1"># Helpers</span>
<span class="k">def</span> <span class="nf">_make_dense_block</span><span class="p">(</span><span class="n">num_layers</span><span class="p">,</span> <span class="n">bn_size</span><span class="p">,</span> <span class="n">growth_rate</span><span class="p">,</span> <span class="n">dropout</span><span class="p">,</span> <span class="n">stage_index</span><span class="p">):</span>
@@ -252,7 +250,7 @@
<span class="k">if</span> <span class="n">dropout</span><span class="p">:</span>
<span class="n">new_features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">dropout</span><span class="p">))</span>
- <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
+ <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Identity</span><span class="p">())</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">new_features</span><span class="p">)</span>
@@ -327,8 +325,7 @@
<span class="c1"># Constructor</span>
-<span class="k">def</span> <span class="nf">get_densenet</span><span class="p">(</span><span class="n">num_layers</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</span><span class="p">(),</span>
- <span class="n">root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'models'</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">get_densenet</span><span class="p">(</span><span class="n">num_layers</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</span><span class="p">(),</span> <span class="n">root</span><span class="o">=</span><span class="s1">'~/.mxnet/models'</span><span class="p">,</span> <span class="o"> [...]
<span class="sa">r</span><span class="sd">"""Densenet-BC model from the</span>
<span class="sd"> `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_ paper.</span>
@@ -425,7 +422,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/model_zoo/vision/inception.html b/_modules/mxnet/gluon/model_zoo/vision/inception.html
index 561abd1..06f78ba 100644
--- a/_modules/mxnet/gluon/model_zoo/vision/inception.html
+++ b/_modules/mxnet/gluon/model_zoo/vision/inception.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -226,12 +226,10 @@
<span class="sd">"""Inception, implemented in Gluon."""</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'Inception3'</span><span class="p">,</span> <span class="s1">'inception_v3'</span><span class="p">]</span>
-<span class="kn">import</span> <span class="nn">os</span>
-
<span class="kn">from</span> <span class="nn">....context</span> <span class="kn">import</span> <span class="n">cpu</span>
<span class="kn">from</span> <span class="nn">...block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">nn</span>
-<span class="kn">from</span> <span class="nn">...contrib.nn</span> <span class="kn">import</span> <span class="n">HybridConcurrent</span>
+<span class="kn">from</span> <span class="nn">..custom_layers</span> <span class="kn">import</span> <span class="n">HybridConcurrent</span>
<span class="c1"># Helpers</span>
<span class="k">def</span> <span class="nf">_make_basic_conv</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
@@ -257,7 +255,7 @@
<span class="k">return</span> <span class="n">out</span>
<span class="k">def</span> <span class="nf">_make_A</span><span class="p">(</span><span class="n">pool_features</span><span class="p">,</span> <span class="n">prefix</span><span class="p">):</span>
- <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
+ <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
<span class="k">with</span> <span class="n">out</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">64</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">None</span><span class="p">,</span> <span class="bp">None</span><span class="p">)))</span>
@@ -273,7 +271,7 @@
<span class="k">return</span> <span class="n">out</span>
<span class="k">def</span> <span class="nf">_make_B</span><span class="p">(</span><span class="n">prefix</span><span class="p">):</span>
- <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
+ <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
<span class="k">with</span> <span class="n">out</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">384</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="bp">None</span><span class="p">)))</span>
@@ -285,7 +283,7 @@
<span class="k">return</span> <span class="n">out</span>
<span class="k">def</span> <span class="nf">_make_C</span><span class="p">(</span><span class="n">channels_7x7</span><span class="p">,</span> <span class="n">prefix</span><span class="p">):</span>
- <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
+ <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
<span class="k">with</span> <span class="n">out</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">192</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">None</span><span class="p">,</span> <span class="bp">None</span><span class="p">)))</span>
@@ -304,7 +302,7 @@
<span class="k">return</span> <span class="n">out</span>
<span class="k">def</span> <span class="nf">_make_D</span><span class="p">(</span><span class="n">prefix</span><span class="p">):</span>
- <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
+ <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
<span class="k">with</span> <span class="n">out</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">192</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">None</span><span class="p">,</span> <span class="bp">None</span><span class="p">),</span>
@@ -318,7 +316,7 @@
<span class="k">return</span> <span class="n">out</span>
<span class="k">def</span> <span class="nf">_make_E</span><span class="p">(</span><span class="n">prefix</span><span class="p">):</span>
- <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
+ <span class="n">out</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="n">prefix</span><span class="p">)</span>
<span class="k">with</span> <span class="n">out</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">320</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">None</span><span class="p">,</span> <span class="bp">None</span><span class="p">)))</span>
@@ -327,7 +325,7 @@
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">branch_3x3</span><span class="p">)</span>
<span class="n">branch_3x3</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">384</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">None</span><span class="p">,</span> <span class="bp">None</span><span class="p">)))</span>
- <span class="n">branch_3x3_split</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
+ <span class="n">branch_3x3_split</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
<span class="n">branch_3x3_split</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">384</span><span class="p">,</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="bp">None</span><span class="p">,</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">))))</span>
<span class="n">branch_3x3_split</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
@@ -339,7 +337,7 @@
<span class="n">branch_3x3dbl</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">448</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">None</span><span class="p">,</span> <span class="bp">None</span><span class="p">),</span>
<span class="p">(</span><span class="mi">384</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="bp">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span>
- <span class="n">branch_3x3dbl_split</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
+ <span class="n">branch_3x3dbl_split</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
<span class="n">branch_3x3dbl</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">branch_3x3dbl_split</span><span class="p">)</span>
<span class="n">branch_3x3dbl_split</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_branch</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span>
<span class="p">(</span><span class="mi">384</span><span class="p">,</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="bp">None</span><span class="p">,</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">))))</span>
@@ -404,8 +402,7 @@
<span class="k">return</span> <span class="n">x</span></div>
<span class="c1"># Constructor</span>
-<div class="viewcode-block" id="inception_v3"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.inception_v3">[docs]</a><span class="k">def</span> <span class="nf">inception_v3</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</span><span class="p">(),</span>
- <span class="n">root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'models'</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="inception_v3"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.inception_v3">[docs]</a><span class="k">def</span> <span class="nf">inception_v3</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</span><span class="p">(),</span> <span class="n [...]
<span class="sa">r</span><span class="sd">"""Inception v3 model from</span>
<span class="sd"> `"Rethinking the Inception Architecture for Computer Vision"</span>
<span class="sd"> <http://arxiv.org/abs/1512.00567>`_ paper.</span>
@@ -440,7 +437,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/model_zoo/vision/mobilenet.html b/_modules/mxnet/gluon/model_zoo/vision/mobilenet.html
index eb44567..1490258 100644
--- a/_modules/mxnet/gluon/model_zoo/vision/mobilenet.html
+++ b/_modules/mxnet/gluon/model_zoo/vision/mobilenet.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -223,71 +223,25 @@
<span class="c1"># coding: utf-8</span>
<span class="c1"># pylint: disable= arguments-differ</span>
-<span class="sd">"""MobileNet and MobileNetV2, implemented in Gluon."""</span>
-<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'MobileNet'</span><span class="p">,</span> <span class="s1">'MobileNetV2'</span><span class="p">,</span> <span class="s1">'mobilenet1_0'</span><span class="p">,</span> <span class="s1">'mobilenet_v2_1_0'</span><span class="p">,</span> <span class="s1">'mobilenet0_75'</span><span class="p">,</span>
- <span class="s1">'mobilenet_v2_0_75'</span><span class="p">,</span> <span class="s1">'mobilenet0_5'</span><span class="p">,</span> <span class="s1">'mobilenet_v2_0_5'</span><span class="p">,</span> <span class="s1">'mobilenet0_25'</span><span class="p">,</span>
- <span class="s1">'mobilenet_v2_0_25'</span><span class="p">,</span> <span class="s1">'get_mobilenet'</span><span class="p">,</span> <span class="s1">'get_mobilenet_v2'</span><span class="p">]</span>
-
-<span class="n">__modify__</span> <span class="o">=</span> <span class="s1">'dwSun'</span>
-<span class="n">__modified_date__</span> <span class="o">=</span> <span class="s1">'18/01/31'</span>
+<span class="sd">"""MobileNet, implemented in Gluon."""</span>
+<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'MobileNet'</span><span class="p">,</span> <span class="s1">'mobilenet1_0'</span><span class="p">,</span> <span class="s1">'mobilenet0_75'</span><span class="p">,</span> <span class="s1">'mobilenet0_5'</span><span class="p">,</span> <span class="s1">'mobilenet0_25'</span><span class="p">,</span>
+ <span class="s1">'get_mobilenet'</span><span class="p">]</span>
-<span class="kn">import</span> <span class="nn">os</span>
-
-<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="kn">from</span> <span class="nn">....context</span> <span class="kn">import</span> <span class="n">cpu</span>
<span class="kn">from</span> <span class="nn">...block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
-
+<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="c1"># Helpers</span>
-<span class="c1"># pylint: disable= too-many-arguments</span>
-<span class="k">def</span> <span class="nf">_add_conv</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">channels</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">kernel</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</s [...]
+<span class="k">def</span> <span class="nf">_add_conv</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">channels</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">kernel</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</s [...]
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">channels</span><span class="p">,</span> <span class="n">kernel</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">pad</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="n">nu [...]
- <span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="bp">True</span><span class="p">))</span>
- <span class="k">if</span> <span class="n">active</span><span class="p">:</span>
- <span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="s1">'relu'</span><span class="p">))</span>
-
+ <span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="bp">False</span><span class="p">))</span>
+ <span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="s1">'relu'</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">_add_conv_dw</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">dw_channels</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">stride</span><span class="p">):</span>
<span class="n">_add_conv</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">channels</span><span class="o">=</span><span class="n">dw_channels</span><span class="p">,</span> <span class="n">kernel</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="n">stride</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span c [...]
<span class="n">_add_conv</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">channels</span><span class="o">=</span><span class="n">channels</span><span class="p">)</span>
-<span class="k">class</span> <span class="nc">LinearBottleneck</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""LinearBottleneck used in MobileNetV2 model from the</span>
-<span class="sd"> `"Inverted Residuals and Linear Bottlenecks:</span>
-<span class="sd"> Mobile Networks for Classification, Detection and Segmentation"</span>
-<span class="sd"> <https://arxiv.org/abs/1801.04381>`_ paper.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> in_channels : int</span>
-<span class="sd"> Number of input channels.</span>
-<span class="sd"> channels : int</span>
-<span class="sd"> Number of output channels.</span>
-<span class="sd"> t : int</span>
-<span class="sd"> Layer expansion ratio.</span>
-<span class="sd"> stride : int</span>
-<span class="sd"> stride</span>
-<span class="sd"> """</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">in_channels</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">LinearBottleneck</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">use_shortcut</span> <span class="o">=</span> <span class="n">stride</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">and</span> <span class="n">in_channels</span> <span class="o">==</span> <span class="n">channels</span>
- <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">out</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">HybridSequential</span><span class="p">()</span>
-
- <span class="n">_add_conv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">,</span> <span class="n">in_channels</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
- <span class="n">_add_conv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">,</span> <span class="n">in_channels</span> <span class="o">*</span> <span class="n">t</span><span class="p">,</span> <span class="n">kernel</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="n">stride</span><span class="p">,</span>
- <span class="n">pad</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">num_group</span><span class="o">=</span><span class="n">in_channels</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
- <span class="n">_add_conv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">active</span><span class="o">=</span><span class="bp">False</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
- <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_shortcut</span><span class="p">:</span>
- <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">elemwise_add</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">out</span>
-
-
<span class="c1"># Net</span>
<div class="viewcode-block" id="MobileNet"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.MobileNet">[docs]</a><span class="k">class</span> <span class="nc">MobileNet</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""MobileNet model from the</span>
@@ -303,17 +257,14 @@
<span class="sd"> classes : int, default 1000</span>
<span class="sd"> Number of classes for the output layer.</span>
<span class="sd"> """</span>
-
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">multiplier</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">classes</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="nb">super</span><span class="p">(</span><span class="n">MobileNet</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">HybridSequential</span><span class="p">(</span><span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
<span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
- <span class="n">_add_conv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="n">channels</span><span class="o">=</span><span class="nb">int</span><span class="p">(</span><span class="mi">32</span> <span class="o">*</span> <span class="n">multiplier</span><span class="p">),</span> <span class="n">kernel</span><span class="o">=</span><span class="mi">3</span><span class="p">, [...]
- <span class="n">dw_channels</span> <span class="o">=</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span> <span class="o">*</span> <span class="n">multiplier</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">32</span><span class="p">,</span> <span class="mi">64</span><span class="p">]</span> <span class="o">+</span> <sp [...]
- <span class="o">+</span> <span class="p">[</span><span class="mi">256</span><span class="p">]</span> <span class="o">*</span> <span class="mi">2</span> <span class="o">+</span> <span class="p">[</span><span class="mi">512</span><span class="p">]</span> <span class="o">*</span> <span class="mi">6</span> <span class="o">+</span> <span class="p">[</span><span class="mi">1024</span><span class="p">]]</span>
- <span class="n">channels</span> <span class="o">=</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span> <span class="o">*</span> <span class="n">multiplier</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">64</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="mi">128</span><span [...]
- <span class="o">+</span> <span class="p">[</span><span class="mi">512</span><span class="p">]</span> <span class="o">*</span> <span class="mi">6</span> <span class="o">+</span> <span class="p">[</span><span class="mi">1024</span><span class="p">]</span> <span class="o">*</span> <span class="mi">2</span><span class="p">]</span>
+ <span class="n">_add_conv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="n">channels</span><span class="o">=</span><span class="nb">int</span><span class="p">(</span><span class="mi">32</span><span class="o">*</span><span class="n">multiplier</span><span class="p">),</span> <span class="n">kernel</span><span class="o">=</span><span class="mi">3</span><span class="p">,</ [...]
+ <span class="n">dw_channels</span> <span class="o">=</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span><span class="o">*</span><span class="n">multiplier</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">32</span><span class="p">,</span> <span class="mi">64</span><span class="p">]</span><span class="o">+</span><span c [...]
+ <span class="n">channels</span> <span class="o">=</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span><span class="o">*</span><span class="n">multiplier</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">64</span><span class="p">]</span><span class="o">+</span><span class="p">[</span><span class="mi">128</span><span clas [...]
<span class="n">strides</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="mi">3</span> <span class="o">+</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="mi">5</span> <span class="o">+</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</sp [...]
<span class="k">for</span> <span class="n">dwc</span><span class="p">,</span> <span class="n">c</span><span class="p">,</span> <span class="n">s</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">dw_channels</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">strides</span><span class="p">):</span>
<span class="n">_add_conv_dw</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="n">dw_channels</span><span class="o">=</span><span class="n">dwc</span><span class="p">,</span> <span class="n">channels</span><span class="o">=</span><span class="n">c</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="n">s</span><span class="p" [...]
@@ -327,62 +278,8 @@
<span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="k">return</span> <span class="n">x</span></div>
-
-<div class="viewcode-block" id="MobileNetV2"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.MobileNetV2">[docs]</a><span class="k">class</span> <span class="nc">MobileNetV2</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""MobileNetV2 model from the</span>
-<span class="sd"> `"Inverted Residuals and Linear Bottlenecks:</span>
-<span class="sd"> Mobile Networks for Classification, Detection and Segmentation"</span>
-<span class="sd"> <https://arxiv.org/abs/1801.04381>`_ paper.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> multiplier : float, default 1.0</span>
-<span class="sd"> The width multiplier for controling the model size. The actual number of channels</span>
-<span class="sd"> is equal to the original channel size multiplied by this multiplier.</span>
-<span class="sd"> classes : int, default 1000</span>
-<span class="sd"> Number of classes for the output layer.</span>
-<span class="sd"> """</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">multiplier</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">classes</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">MobileNetV2</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">HybridSequential</span><span class="p">(</span><span class="n">prefix</span><span class="o">=</span><span class="s1">'features_'</span><span class="p">)</span>
- <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
- <span class="n">_add_conv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="mi">32</span> <span class="o">*</span> <span class="n">multiplier</span><span class="p">),</span> <span class="n">kernel</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
- <span class="n">stride</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
-
- <span class="n">in_channels_group</span> <span class="o">=</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span> <span class="o">*</span> <span class="n">multiplier</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">32</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="mi">16</spa [...]
- <span class="o">+</span> <span class="p">[</span><span class="mi">32</span><span class="p">]</span> <span class="o">*</span> <span class="mi">3</span> <span class="o">+</span> <span class="p">[</span><span class="mi">64</span><span class="p">]</span> <span class="o">*</span> <span class="mi">4</span> <span class="o">+</span> <span class="p">[</span><span class="mi">96</span><span class="p">]</span> <span class="o">*</span> <span class="mi">3</span> <s [...]
- <span class="n">channels_group</span> <span class="o">=</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span> <span class="o">*</span> <span class="n">multiplier</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">16</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="mi">24</span>< [...]
- <span class="o">+</span> <span class="p">[</span><span class="mi">64</span><span class="p">]</span> <span class="o">*</span> <span class="mi">4</span> <span class="o">+</span> <span class="p">[</span><span class="mi">96</span><span class="p">]</span> <span class="o">*</span> <span class="mi">3</span> <span class="o">+</span> <span class="p">[</span><span class="mi">160</span><span class="p">]</span> <span class="o">*</span> <span class="mi">3</span> <spa [...]
- <span class="n">ts</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="mi">6</span><span class="p">]</span> <span class="o">*</span> <span class="mi">16</span>
- <span class="n">strides</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="mi">2</span> <span class="o">+</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="mi">6</span> <span class="o">+</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</sp [...]
-
- <span class="k">for</span> <span class="n">in_c</span><span class="p">,</span> <span class="n">c</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">s</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">in_channels_group</span><span class="p">,</span> <span class="n">channels_group</span><span class="p">,</span> <span class="n">ts</span><span class="p">,</span> <span class="n">str [...]
- <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">LinearBottleneck</span><span class="p">(</span><span class="n">in_channels</span><span class="o">=</span><span class="n">in_c</span><span class="p">,</span> <span class="n">channels</span><span class="o">=</span><span class="n">c</span><span class="p">,</span>
- <span class="n">t</span><span class="o">=</span><span class="n">t</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="n">s</span><span class="p">))</span>
-
- <span class="n">last_channels</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">1280</span> <span class="o">*</span> <span class="n">multiplier</span><span class="p">)</span> <span class="k">if</span> <span class="n">multiplier</span> <span class="o">></span> <span class="mf">1.0</span> <span class="k">else</span> <span class="mi">1280</span>
- <span class="n">_add_conv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="n">last_channels</span><span class="p">)</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">GlobalAvgPool2D</span><span class="p">())</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">output</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">HybridSequential</span><span class="p">(</span><span class="n">prefix</span><span class="o">=</span><span class="s1">'output_'</span><span class="p">)</span>
- <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="o">.</span><span class="n">add</span><span class="p">(</span>
- <span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">classes</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">use_bias</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">'pred_'</span><span class="p">),</span>
- <span class="n">nn</span><span class="o">.</span><span class="n">Flatten</span><span class="p">()</span>
- <span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
- <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
- <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">x</span></div>
-
-
<span class="c1"># Constructor</span>
-<div class="viewcode-block" id="get_mobilenet"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.get_mobilenet">[docs]</a><span class="k">def</span> <span class="nf">get_mobilenet</span><span class="p">(</span><span class="n">multiplier</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span [...]
- <span class="n">root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'models'</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="get_mobilenet"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.get_mobilenet">[docs]</a><span class="k">def</span> <span class="nf">get_mobilenet</span><span class="p">(</span><span class="n">multiplier</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span [...]
<span class="sa">r</span><span class="sd">"""MobileNet model from the</span>
<span class="sd"> `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"</span>
<span class="sd"> <https://arxiv.org/abs/1704.04861>`_ paper.</span>
@@ -401,49 +298,14 @@
<span class="sd"> Location for keeping the model parameters.</span>
<span class="sd"> """</span>
<span class="n">net</span> <span class="o">=</span> <span class="n">MobileNet</span><span class="p">(</span><span class="n">multiplier</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
- <span class="k">if</span> <span class="n">pretrained</span><span class="p">:</span>
- <span class="kn">from</span> <span class="nn">..model_store</span> <span class="kn">import</span> <span class="n">get_model_file</span>
- <span class="n">version_suffix</span> <span class="o">=</span> <span class="s1">'{0:.2f}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">multiplier</span><span class="p">)</span>
- <span class="k">if</span> <span class="n">version_suffix</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">'1.00'</span><span class="p">,</span> <span class="s1">'0.50'</span><span class="p">):</span>
- <span class="n">version_suffix</span> <span class="o">=</span> <span class="n">version_suffix</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
- <span class="n">net</span><span class="o">.</span><span class="n">load_params</span><span class="p">(</span>
- <span class="n">get_model_file</span><span class="p">(</span><span class="s1">'mobilenet</span><span class="si">%s</span><span class="s1">'</span> <span class="o">%</span> <span class="n">version_suffix</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="n">root</span><span class="p">),</span> <span class="n">ctx</span><span class="o">=</span><span class="n">ctx</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">net</span></div>
-
-
-<div class="viewcode-block" id="get_mobilenet_v2"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.get_mobilenet_v2">[docs]</a><span class="k">def</span> <span class="nf">get_mobilenet_v2</span><span class="p">(</span><span class="n">multiplier</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</sp [...]
- <span class="n">root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'models'</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""MobileNetV2 model from the</span>
-<span class="sd"> `"Inverted Residuals and Linear Bottlenecks:</span>
-<span class="sd"> Mobile Networks for Classification, Detection and Segmentation"</span>
-<span class="sd"> <https://arxiv.org/abs/1801.04381>`_ paper.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> multiplier : float</span>
-<span class="sd"> The width multiplier for controling the model size. Only multipliers that are no</span>
-<span class="sd"> less than 0.25 are supported. The actual number of channels is equal to the original</span>
-<span class="sd"> channel size multiplied by this multiplier.</span>
-<span class="sd"> pretrained : bool, default False</span>
-<span class="sd"> Whether to load the pretrained weights for model.</span>
-<span class="sd"> ctx : Context, default CPU</span>
-<span class="sd"> The context in which to load the pretrained weights.</span>
-<span class="sd"> root : str, default '~/.mxnet/models'</span>
-<span class="sd"> Location for keeping the model parameters.</span>
-<span class="sd"> """</span>
- <span class="n">net</span> <span class="o">=</span> <span class="n">MobileNetV2</span><span class="p">(</span><span class="n">multiplier</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
<span class="k">if</span> <span class="n">pretrained</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">..model_store</span> <span class="kn">import</span> <span class="n">get_model_file</span>
<span class="n">version_suffix</span> <span class="o">=</span> <span class="s1">'{0:.2f}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">multiplier</span><span class="p">)</span>
<span class="k">if</span> <span class="n">version_suffix</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">'1.00'</span><span class="p">,</span> <span class="s1">'0.50'</span><span class="p">):</span>
<span class="n">version_suffix</span> <span class="o">=</span> <span class="n">version_suffix</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
- <span class="n">net</span><span class="o">.</span><span class="n">load_params</span><span class="p">(</span>
- <span class="n">get_model_file</span><span class="p">(</span><span class="s1">'mobilenetv2_</span><span class="si">%s</span><span class="s1">'</span> <span class="o">%</span> <span class="n">version_suffix</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="n">root</span><span class="p">),</span> <span class="n">ctx</span><span class="o">=</span><span class="n">ctx</span><span class="p">)</span>
+ <span class="n">net</span><span class="o">.</span><span class="n">load_params</span><span class="p">(</span><span class="n">get_model_file</span><span class="p">(</span><span class="s1">'mobilenet</span><span class="si">%s</span><span class="s1">'</span><span class="o">%</span><span class="n">version_suffix</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="n">root</span><span class="p">),</span> <span class="n">ctx</span><span class="o [...]
<span class="k">return</span> <span class="n">net</span></div>
-
<div class="viewcode-block" id="mobilenet1_0"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.mobilenet1_0">[docs]</a><span class="k">def</span> <span class="nf">mobilenet1_0</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""MobileNet model from the</span>
<span class="sd"> `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"</span>
@@ -458,23 +320,6 @@
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">get_mobilenet</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="mobilenet_v2_1_0"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.mobilenet_v2_1_0">[docs]</a><span class="k">def</span> <span class="nf">mobilenet_v2_1_0</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""MobileNetV2 model from the</span>
-<span class="sd"> `"Inverted Residuals and Linear Bottlenecks:</span>
-<span class="sd"> Mobile Networks for Classification, Detection and Segmentation"</span>
-<span class="sd"> <https://arxiv.org/abs/1801.04381>`_ paper.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> pretrained : bool, default False</span>
-<span class="sd"> Whether to load the pretrained weights for model.</span>
-<span class="sd"> ctx : Context, default CPU</span>
-<span class="sd"> The context in which to load the pretrained weights.</span>
-<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">get_mobilenet_v2</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
-
<div class="viewcode-block" id="mobilenet0_75"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.mobilenet0_75">[docs]</a><span class="k">def</span> <span class="nf">mobilenet0_75</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""MobileNet model from the</span>
<span class="sd"> `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"</span>
@@ -489,23 +334,6 @@
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">get_mobilenet</span><span class="p">(</span><span class="mf">0.75</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="mobilenet_v2_0_75"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.mobilenet_v2_0_75">[docs]</a><span class="k">def</span> <span class="nf">mobilenet_v2_0_75</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""MobileNetV2 model from the</span>
-<span class="sd"> `"Inverted Residuals and Linear Bottlenecks:</span>
-<span class="sd"> Mobile Networks for Classification, Detection and Segmentation"</span>
-<span class="sd"> <https://arxiv.org/abs/1801.04381>`_ paper.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> pretrained : bool, default False</span>
-<span class="sd"> Whether to load the pretrained weights for model.</span>
-<span class="sd"> ctx : Context, default CPU</span>
-<span class="sd"> The context in which to load the pretrained weights.</span>
-<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">get_mobilenet_v2</span><span class="p">(</span><span class="mf">0.75</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
-
<div class="viewcode-block" id="mobilenet0_5"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.mobilenet0_5">[docs]</a><span class="k">def</span> <span class="nf">mobilenet0_5</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""MobileNet model from the</span>
<span class="sd"> `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"</span>
@@ -520,23 +348,6 @@
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">get_mobilenet</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="mobilenet_v2_0_5"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.mobilenet_v2_0_5">[docs]</a><span class="k">def</span> <span class="nf">mobilenet_v2_0_5</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""MobileNetV2 model from the</span>
-<span class="sd"> `"Inverted Residuals and Linear Bottlenecks:</span>
-<span class="sd"> Mobile Networks for Classification, Detection and Segmentation"</span>
-<span class="sd"> <https://arxiv.org/abs/1801.04381>`_ paper.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> pretrained : bool, default False</span>
-<span class="sd"> Whether to load the pretrained weights for model.</span>
-<span class="sd"> ctx : Context, default CPU</span>
-<span class="sd"> The context in which to load the pretrained weights.</span>
-<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">get_mobilenet_v2</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
-
<div class="viewcode-block" id="mobilenet0_25"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.mobilenet0_25">[docs]</a><span class="k">def</span> <span class="nf">mobilenet0_25</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""MobileNet model from the</span>
<span class="sd"> `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"</span>
@@ -550,22 +361,6 @@
<span class="sd"> The context in which to load the pretrained weights.</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">get_mobilenet</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
-
-<div class="viewcode-block" id="mobilenet_v2_0_25"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.mobilenet_v2_0_25">[docs]</a><span class="k">def</span> <span class="nf">mobilenet_v2_0_25</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""MobileNetV2 model from the</span>
-<span class="sd"> `"Inverted Residuals and Linear Bottlenecks:</span>
-<span class="sd"> Mobile Networks for Classification, Detection and Segmentation"</span>
-<span class="sd"> <https://arxiv.org/abs/1801.04381>`_ paper.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> pretrained : bool, default False</span>
-<span class="sd"> Whether to load the pretrained weights for model.</span>
-<span class="sd"> ctx : Context, default CPU</span>
-<span class="sd"> The context in which to load the pretrained weights.</span>
-<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">get_mobilenet_v2</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
</pre></div>
</div>
</div>
@@ -582,7 +377,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/model_zoo/vision/resnet.html b/_modules/mxnet/gluon/model_zoo/vision/resnet.html
index a386bc4..32220c7 100644
--- a/_modules/mxnet/gluon/model_zoo/vision/resnet.html
+++ b/_modules/mxnet/gluon/model_zoo/vision/resnet.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -233,8 +233,6 @@
<span class="s1">'resnet18_v2'</span><span class="p">,</span> <span class="s1">'resnet34_v2'</span><span class="p">,</span> <span class="s1">'resnet50_v2'</span><span class="p">,</span> <span class="s1">'resnet101_v2'</span><span class="p">,</span> <span class="s1">'resnet152_v2'</span><span class="p">,</span>
<span class="s1">'get_resnet'</span><span class="p">]</span>
-<span class="kn">import</span> <span class="nn">os</span>
-
<span class="kn">from</span> <span class="nn">....context</span> <span class="kn">import</span> <span class="n">cpu</span>
<span class="kn">from</span> <span class="nn">...block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">nn</span>
@@ -310,10 +308,10 @@
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">downsample</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">in_channels</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</spa [...]
<span class="nb">super</span><span class="p">(</span><span class="n">BottleneckV1</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">body</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">HybridSequential</span><span class="p">(</span><span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">channels</span><span class="o">//</span><span class="mi">4</span><span class="p">,</span> <span class="n">kernel_size</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n" [...]
+ <span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">channels</span><span class="o">//</span><span class="mi">4</span><span class="p">,</span> <span class="n">kernel_size</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n" [...]
<span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm</span><span class="p">())</span>
<span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="s1">'relu'</span><span class="p">))</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_conv3x3</span><span class="p">(</span><span class="n">channels</span><span class="o">//</span><span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">channels</span><span class="o">//</span><span class="mi">4</span><span class="p">))</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_conv3x3</span><span class="p">(</span><span class="n">channels</span><span class="o">//</span><span class="mi">4</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">channels</span><span class="o">//</span><span class="mi">4</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm</span><span class="p">())</span>
<span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="s1">'relu'</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class [...]
@@ -457,9 +455,10 @@
<span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">HybridSequential</span><span class="p">(</span><span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
<span class="k">if</span> <span class="n">thumbnail</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_conv3x3</span><span class="p">(</span><span class="n">channels</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_conv3x3</span><span class="p">(</span><span class="n">channels</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">channels</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class [...]
+ <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">channels</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class [...]
+ <span class="n">in_channels</span><span class="o">=</span><span class="mi">3</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm</span><span class="p">())</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="s1">'relu'</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">MaxPool2D</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
@@ -513,9 +512,10 @@
<span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">HybridSequential</span><span class="p">(</span><span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">center</span><span class="o">=</span><span class="bp">False</span><span class="p">))</span>
<span class="k">if</span> <span class="n">thumbnail</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_conv3x3</span><span class="p">(</span><span class="n">channels</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_conv3x3</span><span class="p">(</span><span class="n">channels</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">channels</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class [...]
+ <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">channels</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class [...]
+ <span class="n">in_channels</span><span class="o">=</span><span class="mi">3</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm</span><span class="p">())</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="s1">'relu'</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">MaxPool2D</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
@@ -561,8 +561,7 @@
<span class="c1"># Constructor</span>
-<div class="viewcode-block" id="get_resnet"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.get_resnet">[docs]</a><span class="k">def</span> <span class="nf">get_resnet</span><span class="p">(</span><span class="n">version</span><span class="p">,</span> <span class="n">num_layers</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span clas [...]
- <span class="n">root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'models'</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="get_resnet"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.get_resnet">[docs]</a><span class="k">def</span> <span class="nf">get_resnet</span><span class="p">(</span><span class="n">version</span><span class="p">,</span> <span class="n">num_layers</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span clas [...]
<span class="sa">r</span><span class="sd">"""ResNet V1 model from `"Deep Residual Learning for Image Recognition"</span>
<span class="sd"> <http://arxiv.org/abs/1512.03385>`_ paper.</span>
<span class="sd"> ResNet V2 model from `"Identity Mappings in Deep Residual Networks"</span>
@@ -756,7 +755,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/model_zoo/vision/squeezenet.html b/_modules/mxnet/gluon/model_zoo/vision/squeezenet.html
index 3b7bcbb..cb4708e 100644
--- a/_modules/mxnet/gluon/model_zoo/vision/squeezenet.html
+++ b/_modules/mxnet/gluon/model_zoo/vision/squeezenet.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -226,19 +226,17 @@
<span class="sd">"""SqueezeNet, implemented in Gluon."""</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'SqueezeNet'</span><span class="p">,</span> <span class="s1">'squeezenet1_0'</span><span class="p">,</span> <span class="s1">'squeezenet1_1'</span><span class="p">]</span>
-<span class="kn">import</span> <span class="nn">os</span>
-
<span class="kn">from</span> <span class="nn">....context</span> <span class="kn">import</span> <span class="n">cpu</span>
<span class="kn">from</span> <span class="nn">...block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">nn</span>
-<span class="kn">from</span> <span class="nn">...contrib.nn</span> <span class="kn">import</span> <span class="n">HybridConcurrent</span>
+<span class="kn">from</span> <span class="nn">..custom_layers</span> <span class="kn">import</span> <span class="n">HybridConcurrent</span>
<span class="c1"># Helpers</span>
<span class="k">def</span> <span class="nf">_make_fire</span><span class="p">(</span><span class="n">squeeze_channels</span><span class="p">,</span> <span class="n">expand1x1_channels</span><span class="p">,</span> <span class="n">expand3x3_channels</span><span class="p">):</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">HybridSequential</span><span class="p">(</span><span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_fire_conv</span><span class="p">(</span><span class="n">squeeze_channels</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
- <span class="n">paths</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
+ <span class="n">paths</span> <span class="o">=</span> <span class="n">HybridConcurrent</span><span class="p">(</span><span class="n">concat_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
<span class="n">paths</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_fire_conv</span><span class="p">(</span><span class="n">expand1x1_channels</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
<span class="n">paths</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">_make_fire_conv</span><span class="p">(</span><span class="n">expand3x3_channels</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
<span class="n">out</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">paths</span><span class="p">)</span>
@@ -315,8 +313,7 @@
<span class="k">return</span> <span class="n">x</span></div>
<span class="c1"># Constructor</span>
-<span class="k">def</span> <span class="nf">get_squeezenet</span><span class="p">(</span><span class="n">version</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</span><span class="p">(),</span>
- <span class="n">root</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'.mxnet'</span><span class="p">,</span> <span class="s1">'models'</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">get_squeezenet</span><span class="p">(</span><span class="n">version</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</span><span class="p">(),</span> <span class="n">root</span><span class="o">=</span><span class="s1">'~/.mxnet/models'</span><span class="p">,</span> <span class="o">* [...]
<span class="sa">r</span><span class="sd">"""SqueezeNet model from the `"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters</span>
<span class="sd"> and <0.5MB model size" <https://arxiv.org/abs/1602.07360>`_ paper.</span>
<span class="sd"> SqueezeNet 1.1 model from the `official SqueezeNet repo</span>
@@ -388,7 +385,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/model_zoo/vision/vgg.html b/_modules/mxnet/gluon/model_zoo/vision/vgg.html
index 378cfbb..c17996a 100644
--- a/_modules/mxnet/gluon/model_zoo/vision/vgg.html
+++ b/_modules/mxnet/gluon/model_zoo/vision/vgg.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
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+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
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-<li><a href="../../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
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+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
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@@ -230,8 +230,6 @@
<span class="s1">'vgg11_bn'</span><span class="p">,</span> <span class="s1">'vgg13_bn'</span><span class="p">,</span> <span class="s1">'vgg16_bn'</span><span class="p">,</span> <span class="s1">'vgg19_bn'</span><span class="p">,</span>
<span class="s1">'get_vgg'</span><span class="p">]</span>
-<span class="kn">import</span> <span class="nn">os</span>
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<span class="kn">from</span> <span class="nn">....context</span> <span class="kn">import</span> <span class="n">cpu</span>
<span class="kn">from</span> <span class="nn">....initializer</span> <span class="kn">import</span> <span class="n">Xavier</span>
<span class="kn">from</span> <span class="nn">...block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
@@ -299,8 +297,7 @@
<span class="c1"># Constructors</span>
-<div class="viewcode-block" id="get_vgg"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.get_vgg">[docs]</a><span class="k">def</span> <span class="nf">get_vgg</span><span class="p">(</span><span class="n">num_layers</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</spa [...]
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+<div class="viewcode-block" id="get_vgg"><a class="viewcode-back" href="../../../../../api/python/gluon/model_zoo.html#mxnet.gluon.model_zoo.vision.get_vgg">[docs]</a><span class="k">def</span> <span class="nf">get_vgg</span><span class="p">(</span><span class="n">num_layers</span><span class="p">,</span> <span class="n">pretrained</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">ctx</span><span class="o">=</span><span class="n">cpu</spa [...]
<span class="sa">r</span><span class="sd">"""VGG model from the `"Very Deep Convolutional Networks for Large-Scale Image Recognition"</span>
<span class="sd"> <https://arxiv.org/abs/1409.1556>`_ paper.</span>
@@ -467,7 +464,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
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-<h1>Source code for mxnet.gluon.nn.activations</h1><div class="highlight"><pre>
-<span></span><span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span>
-<span class="c1"># or more contributor license agreements. See the NOTICE file</span>
-<span class="c1"># distributed with this work for additional information</span>
-<span class="c1"># regarding copyright ownership. The ASF licenses this file</span>
-<span class="c1"># to you under the Apache License, Version 2.0 (the</span>
-<span class="c1"># "License"); you may not use this file except in compliance</span>
-<span class="c1"># with the License. You may obtain a copy of the License at</span>
-<span class="c1">#</span>
-<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
-<span class="c1">#</span>
-<span class="c1"># Unless required by applicable law or agreed to in writing,</span>
-<span class="c1"># software distributed under the License is distributed on an</span>
-<span class="c1"># "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span>
-<span class="c1"># KIND, either express or implied. See the License for the</span>
-<span class="c1"># specific language governing permissions and limitations</span>
-<span class="c1"># under the License.</span>
-
-<span class="c1"># coding: utf-8</span>
-<span class="c1"># pylint: disable= arguments-differ</span>
-<span class="sd">"""Basic neural network layers."""</span>
-<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'Activation'</span><span class="p">,</span> <span class="s1">'LeakyReLU'</span><span class="p">,</span> <span class="s1">'PReLU'</span><span class="p">,</span> <span class="s1">'ELU'</span><span class="p">,</span> <span class="s1">'SELU'</span><span class="p">,</span> <span class="s1">'Swish'</span><span class="p">]</span>
-
-<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">initializer</span>
-<span class="kn">from</span> <span class="nn">..block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
-
-
-<div class="viewcode-block" id="Activation"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.Activation">[docs]</a><span class="k">class</span> <span class="nc">Activation</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""Applies an activation function to input.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> activation : str</span>
-<span class="sd"> Name of activation function to use.</span>
-<span class="sd"> See :func:`~mxnet.ndarray.Activation` for available choices.</span>
-
-
-<span class="sd"> Inputs:</span>
-<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
-
-<span class="sd"> Outputs:</span>
-<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">activation</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_act_type</span> <span class="o">=</span> <span class="n">activation</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">Activation</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">_alias</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_act_type</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">act_type</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_act_type</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'fwd'</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="n">s</span> <span class="o">=</span> <span class="s1">'{name}({_act_type})'</span>
- <span class="k">return</span> <span class="n">s</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
- <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="vm">__dict__</span><span class="p">)</span></div>
-
-
-<div class="viewcode-block" id="LeakyReLU"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.LeakyReLU">[docs]</a><span class="k">class</span> <span class="nc">LeakyReLU</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""Leaky version of a Rectified Linear Unit.</span>
-
-<span class="sd"> It allows a small gradient when the unit is not active</span>
-
-<span class="sd"> .. math::</span>
-
-<span class="sd"> f\left(x\right) = \left\{</span>
-<span class="sd"> \begin{array}{lr}</span>
-<span class="sd"> \alpha x & : x \lt 0 \\</span>
-<span class="sd"> x & : x \geq 0 \\</span>
-<span class="sd"> \end{array}</span>
-<span class="sd"> \right.\\</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> alpha : float</span>
-<span class="sd"> slope coefficient for the negative half axis. Must be >= 0.</span>
-
-
-<span class="sd"> Inputs:</span>
-<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
-
-<span class="sd"> Outputs:</span>
-<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="k">assert</span> <span class="n">alpha</span> <span class="o">>=</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"Slope coefficient for LeakyReLU must be no less than 0."</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">LeakyReLU</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span> <span class="o">=</span> <span class="n">alpha</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">LeakyReLU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">act_type</span><span class="o">=</span><span class="s1">'leaky'</span><span class="p">,</span> <span class="n">slope</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span><span class="p">,</span> <span class="n">name</span><span [...]
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="n">s</span> <span class="o">=</span> <span class="s1">'{name}({alpha})'</span>
- <span class="k">return</span> <span class="n">s</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
- <span class="n">alpha</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span><span class="p">)</span></div>
-
-
-<div class="viewcode-block" id="PReLU"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.PReLU">[docs]</a><span class="k">class</span> <span class="nc">PReLU</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""Parametric leaky version of a Rectified Linear Unit.</span>
-<span class="sd"> <https://arxiv.org/abs/1502.01852>`_ paper.</span>
-
-<span class="sd"> It learns a gradient when the unit is not active</span>
-
-<span class="sd"> .. math::</span>
-
-<span class="sd"> f\left(x\right) = \left\{</span>
-<span class="sd"> \begin{array}{lr}</span>
-<span class="sd"> \alpha x & : x \lt 0 \\</span>
-<span class="sd"> x & : x \geq 0 \\</span>
-<span class="sd"> \end{array}</span>
-<span class="sd"> \right.\\</span>
-
-<span class="sd"> where alpha is a learned parameter.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> alpha_initializer : Initializer</span>
-<span class="sd"> Initializer for the `embeddings` matrix.</span>
-
-
-<span class="sd"> Inputs:</span>
-<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
-
-<span class="sd"> Outputs:</span>
-<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">alpha_initializer</span><span class="o">=</span><span class="n">initializer</span><span class="o">.</span><span class="n">Constant</span><span class="p">(</span><span class="mf">0.25</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">PReLU</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">name_scope</span><span class="p">():</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">alpha</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'alpha'</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,),</span> <span class="n">init</span><span cl [...]
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">alpha</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">LeakyReLU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">gamma</span><span class="o">=</span><span class="n">alpha</span><span class="p">,</span> <span class="n">act_type</span><span class="o">=</span><span class="s1">'prelu'</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'fwd'</span><span [...]
-
-
-<div class="viewcode-block" id="ELU"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.ELU">[docs]</a><span class="k">class</span> <span class="nc">ELU</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""</span>
-<span class="sd"> Exponential Linear Unit (ELU)</span>
-<span class="sd"> "Fast and Accurate Deep Network Learning by Exponential Linear Units", Clevert et al, 2016</span>
-<span class="sd"> https://arxiv.org/abs/1511.07289</span>
-<span class="sd"> Published as a conference paper at ICLR 2016</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> alpha : float</span>
-<span class="sd"> The alpha parameter as described by Clevert et al, 2016</span>
-
-
-<span class="sd"> Inputs:</span>
-<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
-
-<span class="sd"> Outputs:</span>
-<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">ELU</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span> <span class="o">=</span> <span class="n">alpha</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">x</span> <span class="o">></span> <span class="mi">0</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span> <span class="o">*</span> <span class="p">(</span><span class="n">F</span><span class="o">.</span><span class="n">exp</span> [...]
-
-
-<div class="viewcode-block" id="SELU"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.SELU">[docs]</a><span class="k">class</span> <span class="nc">SELU</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""</span>
-<span class="sd"> Scaled Exponential Linear Unit (SELU)</span>
-<span class="sd"> "Self-Normalizing Neural Networks", Klambauer et al, 2017</span>
-<span class="sd"> https://arxiv.org/abs/1706.02515</span>
-
-
-<span class="sd"> Inputs:</span>
-<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
-
-<span class="sd"> Outputs:</span>
-<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">SELU</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_scale</span> <span class="o">=</span> <span class="mf">1.0507009873554804934193349852946</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span> <span class="o">=</span> <span class="mf">1.6732632423543772848170429916717</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_scale</span> <span class="o">*</span> <span class="n">F</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">x</span> <span class="o">></span> <span class="mi">0</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span> <span class="o"> [...]
-
-
-<div class="viewcode-block" id="Swish"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.Swish">[docs]</a><span class="k">class</span> <span class="nc">Swish</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""</span>
-<span class="sd"> Swish Activation function</span>
-<span class="sd"> https://arxiv.org/pdf/1710.05941.pdf</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> beta : float</span>
-<span class="sd"> swish(x) = x * sigmoid(beta*x)</span>
-
-
-<span class="sd"> Inputs:</span>
-<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
-
-<span class="sd"> Outputs:</span>
-<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
-<span class="sd"> """</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">Swish</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_beta</span> <span class="o">=</span> <span class="n">beta</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">x</span> <span class="o">*</span> <span class="n">F</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_beta</span> <span class="o">*</span> <span class="n">x</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'fwd'</span><span class="p">)</span></div>
-</pre></div>
-</div>
-</div>
-<div aria-label="main navigation" class="sphinxsidebar rightsidebar" role="navigation">
-<div class="sphinxsidebarwrapper">
-</div>
-</div>
-</div><div class="footer">
-<div class="section-disclaimer">
-<div class="container">
-<div>
-<img height="60" src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/apache_incubator_logo.png"/>
-<p>
- Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
- </p>
-<p>
- "Copyright © 2017-2018, The Apache Software Foundation
- Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
- </p>
-</div>
-</div>
-</div>
-</div> <!-- pagename != index -->
-</div>
-<script crossorigin="anonymous" integrity="sha384-0mSbJDEHialfmuBBQP6A4Qrprq5OVfW37PRR3j5ELqxss1yVqOtnepnHVP9aJ7xS" src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js"></script>
-<script src="../../../../_static/js/sidebar.js" type="text/javascript"></script>
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-<script src="../../../../_static/js/page.js" type="text/javascript"></script>
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- $('body').ready(function () {
- $('body').css('visibility', 'visible');
- });
- </script>
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\ No newline at end of file
diff --git a/_modules/mxnet/gluon/nn/basic_layers.html b/_modules/mxnet/gluon/nn/basic_layers.html
index d38759e..af2f255 100644
--- a/_modules/mxnet/gluon/nn/basic_layers.html
+++ b/_modules/mxnet/gluon/nn/basic_layers.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -224,12 +224,12 @@
<span class="c1"># coding: utf-8</span>
<span class="c1"># pylint: disable= arguments-differ</span>
<span class="sd">"""Basic neural network layers."""</span>
-<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'Sequential'</span><span class="p">,</span> <span class="s1">'HybridSequential'</span><span class="p">,</span> <span class="s1">'Dense'</span><span class="p">,</span> <span class="s1">'Dropout'</span><span class="p">,</span> <span class="s1">'Embedding'</span><span class="p">,</span>
- <span class="s1">'BatchNorm'</span><span class="p">,</span> <span class="s1">'InstanceNorm'</span><span class="p">,</span> <span class="s1">'Flatten'</span><span class="p">,</span> <span class="s1">'Lambda'</span><span class="p">,</span> <span class="s1">'HybridLambda'</span><span class="p">]</span>
+<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'Sequential'</span><span class="p">,</span> <span class="s1">'HybridSequential'</span><span class="p">,</span> <span class="s1">'Dense'</span><span class="p">,</span> <span class="s1">'Activation'</span><span class="p">,</span>
+ <span class="s1">'Dropout'</span><span class="p">,</span> <span class="s1">'BatchNorm'</span><span class="p">,</span> <span class="s1">'LeakyReLU'</span><span class="p">,</span> <span class="s1">'Embedding'</span><span class="p">,</span> <span class="s1">'Flatten'</span><span class="p">,</span>
+ <span class="s1">'Lambda'</span><span class="p">,</span> <span class="s1">'HybridLambda'</span><span class="p">]</span>
<span class="kn">import</span> <span class="nn">warnings</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
-<span class="kn">from</span> <span class="nn">.activations</span> <span class="kn">import</span> <span class="n">Activation</span>
<span class="kn">from</span> <span class="nn">..block</span> <span class="kn">import</span> <span class="n">Block</span><span class="p">,</span> <span class="n">HybridBlock</span>
<span class="kn">from</span> <span class="nn">..utils</span> <span class="kn">import</span> <span class="n">_indent</span>
<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">nd</span><span class="p">,</span> <span class="n">sym</span>
@@ -296,7 +296,7 @@
<span class="sd"> Example::</span>
-<span class="sd"> net = nn.HybridSequential()</span>
+<span class="sd"> net = nn.Sequential()</span>
<span class="sd"> # use net's name_scope to give child Blocks appropriate names.</span>
<span class="sd"> with net.name_scope():</span>
<span class="sd"> net.add(nn.Dense(10, activation='relu'))</span>
@@ -422,6 +422,38 @@
<span class="n">layout</span><span class="o">=</span><span class="s1">'{0} -> {1}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">if</span> <span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">else</span> <span class="bp">None</span><span class="p"> [...]
+<div class="viewcode-block" id="Activation"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.Activation">[docs]</a><span class="k">class</span> <span class="nc">Activation</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
+ <span class="sa">r</span><span class="sd">"""Applies an activation function to input.</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> activation : str</span>
+<span class="sd"> Name of activation function to use.</span>
+<span class="sd"> See :func:`~mxnet.ndarray.Activation` for available choices.</span>
+
+
+<span class="sd"> Inputs:</span>
+<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
+
+<span class="sd"> Outputs:</span>
+<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
+<span class="sd"> """</span>
+ <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">activation</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_act_type</span> <span class="o">=</span> <span class="n">activation</span>
+ <span class="nb">super</span><span class="p">(</span><span class="n">Activation</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+ <span class="k">def</span> <span class="nf">_alias</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_act_type</span>
+
+ <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+ <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">act_type</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_act_type</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'fwd'</span><span class="p">)</span>
+
+ <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="n">s</span> <span class="o">=</span> <span class="s1">'{name}({_act_type})'</span>
+ <span class="k">return</span> <span class="n">s</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
+ <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="vm">__dict__</span><span class="p">)</span></div>
+
+
<div class="viewcode-block" id="Dropout"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.Dropout">[docs]</a><span class="k">class</span> <span class="nc">Dropout</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
<span class="sd">"""Applies Dropout to the input.</span>
@@ -482,10 +514,6 @@
<span class="sd"> When the next layer is linear (also e.g. `nn.relu`),</span>
<span class="sd"> this can be disabled since the scaling</span>
<span class="sd"> will be done by the next layer.</span>
-<span class="sd"> use_global_stats: bool, default False</span>
-<span class="sd"> If True, use global moving statistics instead of local batch-norm. This will force</span>
-<span class="sd"> change batch-norm into a scale shift operator.</span>
-<span class="sd"> If False, use local batch-norm.</span>
<span class="sd"> beta_initializer: str or `Initializer`, default 'zeros'</span>
<span class="sd"> Initializer for the beta weight.</span>
<span class="sd"> gamma_initializer: str or `Initializer`, default 'ones'</span>
@@ -507,12 +535,12 @@
<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">momentum</span><span class="o">=</span><span class="mf">0.9</span><span class="p">,</span> <span class="n">epsilon</span><span class="o">=</span><span class="mf">1e-5</span><span class="p">,</span> <span class="n">center</span><span cl [...]
- <span class="n">use_global_stats</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">beta_initializer</span><span class="o">=</span><span class="s1">'zeros'</span><span class="p">,</span> <span class="n">gamma_initializer</span><span class="o">=</span><span class="s1">'ones'</span><span class="p">,</span>
+ <span class="n">beta_initializer</span><span class="o">=</span><span class="s1">'zeros'</span><span class="p">,</span> <span class="n">gamma_initializer</span><span class="o">=</span><span class="s1">'ones'</span><span class="p">,</span>
<span class="n">running_mean_initializer</span><span class="o">=</span><span class="s1">'zeros'</span><span class="p">,</span> <span class="n">running_variance_initializer</span><span class="o">=</span><span class="s1">'ones'</span><span class="p">,</span>
<span class="n">in_channels</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="nb">super</span><span class="p">(</span><span class="n">BatchNorm</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'axis'</span><span class="p">:</span> <span class="n">axis</span><span class="p">,</span> <span class="s1">'eps'</span><span class="p">:</span> <span class="n">epsilon</span><span class="p">,</span> <span class="s1">'momentum'</span><span class="p">:</span> <span class="n">momentum</span><span class="p">,</span>
- <span class="s1">'fix_gamma'</span><span class="p">:</span> <span class="ow">not</span> <span class="n">scale</span><span class="p">,</span> <span class="s1">'use_global_stats'</span><span class="p">:</span> <span class="n">use_global_stats</span><span class="p">}</span>
+ <span class="s1">'fix_gamma'</span><span class="p">:</span> <span class="ow">not</span> <span class="n">scale</span><span class="p">}</span>
<span class="k">if</span> <span class="n">in_channels</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">in_channels</span> <span class="o">=</span> <span class="n">in_channels</span>
@@ -554,6 +582,46 @@
<span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_kwargs</span><span class="o">.</span><span class="n">items</span><span class="p">()]))</span></div>
+<div class="viewcode-block" id="LeakyReLU"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.LeakyReLU">[docs]</a><span class="k">class</span> <span class="nc">LeakyReLU</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
+ <span class="sa">r</span><span class="sd">"""Leaky version of a Rectified Linear Unit.</span>
+
+<span class="sd"> It allows a small gradient when the unit is not active</span>
+
+<span class="sd"> .. math::</span>
+
+<span class="sd"> f\left(x\right) = \left\{</span>
+<span class="sd"> \begin{array}{lr}</span>
+<span class="sd"> \alpha x & : x \lt 0 \\</span>
+<span class="sd"> x & : x \geq 0 \\</span>
+<span class="sd"> \end{array}</span>
+<span class="sd"> \right.\\</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> alpha : float</span>
+<span class="sd"> slope coefficient for the negative half axis. Must be >= 0.</span>
+
+
+<span class="sd"> Inputs:</span>
+<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
+
+<span class="sd"> Outputs:</span>
+<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
+<span class="sd"> """</span>
+ <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+ <span class="k">assert</span> <span class="n">alpha</span> <span class="o">>=</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"Slope coefficient for LeakyReLU must be no less than 0."</span>
+ <span class="nb">super</span><span class="p">(</span><span class="n">LeakyReLU</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span> <span class="o">=</span> <span class="n">alpha</span>
+
+ <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+ <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">LeakyReLU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">act_type</span><span class="o">=</span><span class="s1">'leaky'</span><span class="p">,</span> <span class="n">slope</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span><span class="p">,</span> <span class="n">name</span><span [...]
+
+ <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="n">s</span> <span class="o">=</span> <span class="s1">'{name}({alpha})'</span>
+ <span class="k">return</span> <span class="n">s</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
+ <span class="n">alpha</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_alpha</span><span class="p">)</span></div>
+
+
<div class="viewcode-block" id="Embedding"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.Embedding">[docs]</a><span class="k">class</span> <span class="nc">Embedding</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""Turns non-negative integers (indexes/tokens) into dense vectors</span>
<span class="sd"> of fixed size. eg. [[4], [20]] -> [[0.25, 0.1], [0.6, -0.2]]</span>
@@ -614,97 +682,6 @@
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span></div>
-<div class="viewcode-block" id="InstanceNorm"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.InstanceNorm">[docs]</a><span class="k">class</span> <span class="nc">InstanceNorm</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""</span>
-<span class="sd"> Applies instance normalization to the n-dimensional input array.</span>
-<span class="sd"> This operator takes an n-dimensional input array where (n>2) and normalizes</span>
-<span class="sd"> the input using the following formula:</span>
-
-<span class="sd"> .. math::</span>
-
-<span class="sd"> out = \frac{x - mean[data]}{ \sqrt{Var[data]} + \epsilon} * gamma + beta</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> axis : int, default 1</span>
-<span class="sd"> The axis that should be normalized. This is typically the channels</span>
-<span class="sd"> (C) axis. For instance, after a `Conv2D` layer with `layout='NCHW'`,</span>
-<span class="sd"> set `axis=1` in `InstanceNorm`. If `layout='NHWC'`, then set `axis=3`.</span>
-<span class="sd"> epsilon: float, default 1e-5</span>
-<span class="sd"> Small float added to variance to avoid dividing by zero.</span>
-<span class="sd"> center: bool, default True</span>
-<span class="sd"> If True, add offset of `beta` to normalized tensor.</span>
-<span class="sd"> If False, `beta` is ignored.</span>
-<span class="sd"> scale: bool, default True</span>
-<span class="sd"> If True, multiply by `gamma`. If False, `gamma` is not used.</span>
-<span class="sd"> When the next layer is linear (also e.g. `nn.relu`),</span>
-<span class="sd"> this can be disabled since the scaling</span>
-<span class="sd"> will be done by the next layer.</span>
-<span class="sd"> beta_initializer: str or `Initializer`, default 'zeros'</span>
-<span class="sd"> Initializer for the beta weight.</span>
-<span class="sd"> gamma_initializer: str or `Initializer`, default 'ones'</span>
-<span class="sd"> Initializer for the gamma weight.</span>
-<span class="sd"> in_channels : int, default 0</span>
-<span class="sd"> Number of channels (feature maps) in input data. If not specified,</span>
-<span class="sd"> initialization will be deferred to the first time `forward` is called</span>
-<span class="sd"> and `in_channels` will be inferred from the shape of input data.</span>
-
-
-<span class="sd"> Inputs:</span>
-<span class="sd"> - **data**: input tensor with arbitrary shape.</span>
-
-<span class="sd"> Outputs:</span>
-<span class="sd"> - **out**: output tensor with the same shape as `data`.</span>
-
-<span class="sd"> References</span>
-<span class="sd"> ----------</span>
-<span class="sd"> `Instance Normalization: The Missing Ingredient for Fast Stylization</span>
-<span class="sd"> <https://arxiv.org/abs/1607.08022>`_</span>
-
-<span class="sd"> Examples</span>
-<span class="sd"> --------</span>
-<span class="sd"> >>> # Input of shape (2,1,2)</span>
-<span class="sd"> >>> x = mx.nd.array([[[ 1.1, 2.2]],</span>
-<span class="sd"> ... [[ 3.3, 4.4]]])</span>
-<span class="sd"> >>> # Instance normalization is calculated with the above formula</span>
-<span class="sd"> >>> layer = InstanceNorm()</span>
-<span class="sd"> >>> layer.initialize(ctx=mx.cpu(0))</span>
-<span class="sd"> >>> layer(x)</span>
-<span class="sd"> [[[-0.99998355 0.99998331]]</span>
-<span class="sd"> [[-0.99998319 0.99998361]]]</span>
-<span class="sd"> <NDArray 2x1x2 @cpu(0)></span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">epsilon</span><span class="o">=</span><span class="mf">1e-5</span><span class="p">,</span> <span class="n">center</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span> <span class="n">scale</span><span clas [...]
- <span class="n">beta_initializer</span><span class="o">=</span><span class="s1">'zeros'</span><span class="p">,</span> <span class="n">gamma_initializer</span><span class="o">=</span><span class="s1">'ones'</span><span class="p">,</span>
- <span class="n">in_channels</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">InstanceNorm</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'eps'</span><span class="p">:</span> <span class="n">epsilon</span><span class="p">,</span> <span class="s1">'axis'</span><span class="p">:</span> <span class="n">axis</span><span class="p">}</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_axis</span> <span class="o">=</span> <span class="n">axis</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_epsilon</span> <span class="o">=</span> <span class="n">epsilon</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">gamma</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'gamma'</span><span class="p">,</span> <span class="n">grad_req</span><span class="o">=</span><span class="s1">'write'</span> <span class="k">if</span> <span class="n">scale</span> <span class="k">else</spa [...]
- <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="n">in_channels</span><span class="p">,),</span> <span class="n">init</span><span class="o">=</span><span class="n">gamma_initializer</span><span class="p">,</span>
- <span class="n">allow_deferred_init</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">beta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'beta'</span><span class="p">,</span> <span class="n">grad_req</span><span class="o">=</span><span class="s1">'write'</span> <span class="k">if</span> <span class="n">center</span> <span class="k">else</span [...]
- <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="n">in_channels</span><span class="p">,),</span> <span class="n">init</span><span class="o">=</span><span class="n">beta_initializer</span><span class="p">,</span>
- <span class="n">allow_deferred_init</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">gamma</span><span class="p">,</span> <span class="n">beta</span><span class="p">):</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_axis</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">InstanceNorm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">gamma</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span>
- <span class="n">name</span><span class="o">=</span><span class="s1">'fwd'</span><span class="p">,</span> <span class="n">eps</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_epsilon</span><span class="p">)</span>
- <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_axis</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">InstanceNorm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">gamma</span><span class="p">,</span> <span class="n">beta</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'fwd'</span><span class="p">,</span>
- <span class="n">eps</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_epsilon</span><span class="p">)</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_axis</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="n">s</span> <span class="o">=</span> <span class="s1">'{name}({content}'</span>
- <span class="n">in_channels</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gamma</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
- <span class="n">s</span> <span class="o">+=</span> <span class="s1">', in_channels={0}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">in_channels</span><span class="p">)</span>
- <span class="n">s</span> <span class="o">+=</span> <span class="s1">')'</span>
- <span class="k">return</span> <span class="n">s</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
- <span class="n">content</span><span class="o">=</span><span class="s1">', '</span><span class="o">.</span><span class="n">join</span><span class="p">([</span><span class="s1">'='</span><span class="o">.</span><span class="n">join</span><span class="p">([</span><span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="o">.</span><span class="fm">__repr__</span><span class="p">()])</span>
- <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_kwargs</span><span class="o">.</span><span class="n">items</span><span class="p">()]))</span></div>
-
<div class="viewcode-block" id="Lambda"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.Lambda">[docs]</a><span class="k">class</span> <span class="nc">Lambda</span><span class="p">(</span><span class="n">Block</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""Wraps an operator or an expression as a Block object.</span>
@@ -751,6 +728,7 @@
<div class="viewcode-block" id="HybridLambda"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.HybridLambda">[docs]</a><span class="k">class</span> <span class="nc">HybridLambda</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
<span class="sa">r</span><span class="sd">"""Wraps an operator or an expression as a HybridBlock object.</span>
+
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> function : str or function</span>
@@ -808,7 +786,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/nn/conv_layers.html b/_modules/mxnet/gluon/nn/conv_layers.html
index 577cb74..b118309 100644
--- a/_modules/mxnet/gluon/nn/conv_layers.html
+++ b/_modules/mxnet/gluon/nn/conv_layers.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -229,13 +229,12 @@
<span class="s1">'MaxPool1D'</span><span class="p">,</span> <span class="s1">'MaxPool2D'</span><span class="p">,</span> <span class="s1">'MaxPool3D'</span><span class="p">,</span>
<span class="s1">'AvgPool1D'</span><span class="p">,</span> <span class="s1">'AvgPool2D'</span><span class="p">,</span> <span class="s1">'AvgPool3D'</span><span class="p">,</span>
<span class="s1">'GlobalMaxPool1D'</span><span class="p">,</span> <span class="s1">'GlobalMaxPool2D'</span><span class="p">,</span> <span class="s1">'GlobalMaxPool3D'</span><span class="p">,</span>
- <span class="s1">'GlobalAvgPool1D'</span><span class="p">,</span> <span class="s1">'GlobalAvgPool2D'</span><span class="p">,</span> <span class="s1">'GlobalAvgPool3D'</span><span class="p">,</span>
- <span class="s1">'ReflectionPad2D'</span><span class="p">]</span>
+ <span class="s1">'GlobalAvgPool1D'</span><span class="p">,</span> <span class="s1">'GlobalAvgPool2D'</span><span class="p">,</span> <span class="s1">'GlobalAvgPool3D'</span><span class="p">]</span>
<span class="kn">from</span> <span class="nn">..block</span> <span class="kn">import</span> <span class="n">HybridBlock</span>
<span class="kn">from</span> <span class="nn">...</span> <span class="kn">import</span> <span class="n">symbol</span>
<span class="kn">from</span> <span class="nn">...base</span> <span class="kn">import</span> <span class="n">numeric_types</span>
-<span class="kn">from</span> <span class="nn">.activations</span> <span class="kn">import</span> <span class="n">Activation</span>
+<span class="kn">from</span> <span class="nn">.basic_layers</span> <span class="kn">import</span> <span class="n">Activation</span>
<span class="k">def</span> <span class="nf">_infer_weight_shape</span><span class="p">(</span><span class="n">op_name</span><span class="p">,</span> <span class="n">data_shape</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">):</span>
@@ -1179,15 +1178,14 @@
<div class="viewcode-block" id="GlobalMaxPool2D"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.GlobalMaxPool2D">[docs]</a><span class="k">class</span> <span class="nc">GlobalMaxPool2D</span><span class="p">(</span><span class="n">_Pooling</span><span class="p">):</span>
<span class="sd">"""Global max pooling operation for spatial data."""</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="s1">'NCHW'</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="k">assert</span> <span class="n">layout</span> <span class="o">==</span> <span class="s1">'NCHW'</span><span class="p">,</span> <span class="s2">"Only supports NCHW layout for now"</span>
+ <span class="k">assert</span> <span class="n">layout</span> <span class="o">==</span> <span class="s1">'NCHW'</span><span class="p">,</span> <span class="s2">"Only supports NCW layout for now"</span>
<span class="nb">super</span><span class="p">(</span><span class="n">GlobalMaxPool2D</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
<span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="bp">None</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="bp">True</span><span class="p">,</span> <span class="bp">True</span><span class="p">,</span> <span class="s1">'max'</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
-
<div class="viewcode-block" id="GlobalMaxPool3D"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.GlobalMaxPool3D">[docs]</a><span class="k">class</span> <span class="nc">GlobalMaxPool3D</span><span class="p">(</span><span class="n">_Pooling</span><span class="p">):</span>
<span class="sd">"""Global max pooling operation for 3D data."""</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="s1">'NCDHW'</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="k">assert</span> <span class="n">layout</span> <span class="o">==</span> <span class="s1">'NCDHW'</span><span class="p">,</span> <span class="s2">"Only supports NCDHW layout for now"</span>
+ <span class="k">assert</span> <span class="n">layout</span> <span class="o">==</span> <span class="s1">'NCDHW'</span><span class="p">,</span> <span class="s2">"Only supports NCW layout for now"</span>
<span class="nb">super</span><span class="p">(</span><span class="n">GlobalMaxPool3D</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
<span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="bp">None</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="bp">True</span><span class="p">,</span> <span class="bp">True</span><span class="p">,</span> <span class="s1">'max'</span><span class="p">,</span> <span class="o">**</span><span class="n">k [...]
@@ -1203,7 +1201,7 @@
<div class="viewcode-block" id="GlobalAvgPool2D"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.GlobalAvgPool2D">[docs]</a><span class="k">class</span> <span class="nc">GlobalAvgPool2D</span><span class="p">(</span><span class="n">_Pooling</span><span class="p">):</span>
<span class="sd">"""Global average pooling operation for spatial data."""</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="s1">'NCHW'</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="k">assert</span> <span class="n">layout</span> <span class="o">==</span> <span class="s1">'NCHW'</span><span class="p">,</span> <span class="s2">"Only supports NCHW layout for now"</span>
+ <span class="k">assert</span> <span class="n">layout</span> <span class="o">==</span> <span class="s1">'NCHW'</span><span class="p">,</span> <span class="s2">"Only supports NCW layout for now"</span>
<span class="nb">super</span><span class="p">(</span><span class="n">GlobalAvgPool2D</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
<span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="bp">None</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="bp">True</span><span class="p">,</span> <span class="bp">True</span><span class="p">,</span> <span class="s1">'avg'</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
@@ -1211,48 +1209,9 @@
<div class="viewcode-block" id="GlobalAvgPool3D"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.GlobalAvgPool3D">[docs]</a><span class="k">class</span> <span class="nc">GlobalAvgPool3D</span><span class="p">(</span><span class="n">_Pooling</span><span class="p">):</span>
<span class="sd">"""Global max pooling operation for 3D data."""</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="s1">'NCDHW'</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="k">assert</span> <span class="n">layout</span> <span class="o">==</span> <span class="s1">'NCDHW'</span><span class="p">,</span> <span class="s2">"Only supports NCDHW layout for now"</span>
+ <span class="k">assert</span> <span class="n">layout</span> <span class="o">==</span> <span class="s1">'NCDHW'</span><span class="p">,</span> <span class="s2">"Only supports NCW layout for now"</span>
<span class="nb">super</span><span class="p">(</span><span class="n">GlobalAvgPool3D</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
<span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="bp">None</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="bp">True</span><span class="p">,</span> <span class="bp">True</span><span class="p">,</span> <span class="s1">'avg'</span><span class="p">,</span> <span class="o">**</span><span class="n">k [...]
-
-
-<div class="viewcode-block" id="ReflectionPad2D"><a class="viewcode-back" href="../../../../api/python/gluon/nn.html#mxnet.gluon.nn.ReflectionPad2D">[docs]</a><span class="k">class</span> <span class="nc">ReflectionPad2D</span><span class="p">(</span><span class="n">HybridBlock</span><span class="p">):</span>
- <span class="sa">r</span><span class="sd">"""Pads the input tensor using the reflection of the input boundary.</span>
-
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> padding: int</span>
-<span class="sd"> An integer padding size</span>
-
-
-<span class="sd"> Inputs:</span>
-<span class="sd"> - **data**: input tensor with the shape :math:`(N, C, H_{in}, W_{in})`.</span>
-
-<span class="sd"> Outputs:</span>
-<span class="sd"> - **out**: output tensor with the shape :math:`(N, C, H_{out}, W_{out})`, where</span>
-
-<span class="sd"> .. math::</span>
-
-<span class="sd"> H_{out} = H_{in} + 2 \cdot padding</span>
-
-<span class="sd"> W_{out} = W_{in} + 2 \cdot padding</span>
-
-
-<span class="sd"> Examples</span>
-<span class="sd"> --------</span>
-<span class="sd"> >>> m = nn.ReflectionPad2D(3)</span>
-<span class="sd"> >>> input = mx.nd.random.normal(shape=(16, 3, 224, 224))</span>
-<span class="sd"> >>> output = m(input)</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">ReflectionPad2D</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">padding</span><span class="p">,</span> <span class="n">numeric_types</span><span class="p">):</span>
- <span class="n">padding</span> <span class="o">=</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">padding</span><span [...]
- <span class="k">assert</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">padding</span><span class="p">)</span> <span class="o">==</span> <span class="mi">8</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_padding</span> <span class="o">=</span> <span class="n">padding</span>
-
- <span class="k">def</span> <span class="nf">hybrid_forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">F</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">pad</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">'reflect'</span><span class="p">,</span> <span class="n">pad_width</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_padding</span><span class="p">)</span></div>
</pre></div>
</div>
</div>
@@ -1269,7 +1228,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/parameter.html b/_modules/mxnet/gluon/parameter.html
index 25e9aa6..498ccde 100644
--- a/_modules/mxnet/gluon/parameter.html
+++ b/_modules/mxnet/gluon/parameter.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -323,7 +323,7 @@
<span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="n">s</span> <span class="o">=</span> <span class="s1">'Parameter {name} (shape={shape}, dtype={dtype})'</span>
- <span class="k">return</span> <span class="n">s</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class=" [...]
+ <span class="k">return</span> <span class="n">s</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="vm">__dict__</span><span class="p">)</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">grad_req</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
@@ -896,7 +896,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/rnn/rnn_cell.html b/_modules/mxnet/gluon/rnn/rnn_cell.html
index af0688f..85d47bc 100644
--- a/_modules/mxnet/gluon/rnn/rnn_cell.html
+++ b/_modules/mxnet/gluon/rnn/rnn_cell.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -1133,7 +1133,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/rnn/rnn_layer.html b/_modules/mxnet/gluon/rnn/rnn_layer.html
index c60253b..e6d2e22 100644
--- a/_modules/mxnet/gluon/rnn/rnn_layer.html
+++ b/_modules/mxnet/gluon/rnn/rnn_layer.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -739,7 +739,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/trainer.html b/_modules/mxnet/gluon/trainer.html
index a0ce376..7572396 100644
--- a/_modules/mxnet/gluon/trainer.html
+++ b/_modules/mxnet/gluon/trainer.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
<span id="dropdown-menu-position-anchor">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Gluon <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu">
@@ -81,12 +82,11 @@
<span id="dropdown-menu-position-anchor-docs">
<a aria-expanded="true" aria-haspopup="true" class="main-nav-link dropdown-toggle" data-toggle="dropdown" href="#" role="button">Docs <span class="caret"></span></a>
<ul class="dropdown-menu navbar-menu" id="package-dropdown-menu-docs">
-<li><a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
<li><a class="main-nav-link" href="../../../faq/index.html">FAQ</a></li>
<li><a class="main-nav-link" href="../../../architecture/index.html">Architecture</a></li>
-<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example">Examples</a></li>
-<li><a class="main-nav-link" href="../../../api/python/gluon/model_zoo.html">Gluon Model Zoo</a></li>
-</li></ul>
+<li><a class="main-nav-link" href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example">Examples</a></li>
+<li><a class="main-nav-link" href="../../../model_zoo/index.html">Model Zoo</a></li>
+</ul>
</span>
<a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a>
<span id="dropdown-menu-position-anchor-community">
@@ -95,10 +95,10 @@
<li><a class="main-nav-link" href="../../../community/index.html">Community</a></li>
<li><a class="main-nav-link" href="../../../community/contribute.html">Contribute</a></li>
<li><a class="main-nav-link" href="../../../community/powered_by.html">Powered By</a></li>
-<li><a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a></li>
</ul>
</span>
-<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.1.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a> [...]
+<a class="main-nav-link" href="http://discuss.mxnet.io">Discuss</a>
+<span id="dropdown-menu-position-anchor-version" style="position: relative"><a href="#" class="main-nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="true">Versions(1.0.0)<span class="caret"></span></a><ul id="package-dropdown-menu" class="dropdown-menu"><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a class="main-nav-link" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</ [...]
<script> function getRootPath(){ return "../../../" } </script>
<div class="burgerIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button">☰</a>
@@ -136,13 +136,13 @@
<li><a href="../../../tutorials/index.html" tabindex="-1">Tutorials</a></li>
<li><a href="../../../faq/index.html" tabindex="-1">FAQ</a></li>
<li><a href="../../../architecture/index.html" tabindex="-1">Architecture</a></li>
-<li><a href="https://github.com/apache/incubator-mxnet/tree/1.1.0/example" tabindex="-1">Examples</a></li>
-<li><a href="../../../api/python/gluon/model_zoo.html" tabindex="-1">Gluon Model Zoo</a></li>
+<li><a href="https://github.com/apache/incubator-mxnet/tree/1.0.0/example" tabindex="-1">Examples</a></li>
+<li><a href="../../../model_zoo/index.html" tabindex="-1">Model Zoo</a></li>
</ul>
</li>
<li><a href="../../../architecture/index.html">Architecture</a></li>
<li><a class="main-nav-link" href="https://github.com/dmlc/mxnet">Github</a></li>
-<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.1.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.1.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/1.0.0/index.html>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://m [...]
+<li id="dropdown-menu-position-anchor-version-mobile" class="dropdown-submenu" style="position: relative"><a href="#" tabindex="-1">Versions(1.0.0)</a><ul class="dropdown-menu"><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/>1.0.0</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.1/index.html>0.12.1</a></li><li><a tabindex="-1" href=https://mxnet.incubator.apache.org/versions/0.12.0/index.html>0.12.0</a></li><li><a tabindex="-1" href=https:/ [...]
</div>
<div class="plusIcon dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button"><span aria-hidden="true" class="glyphicon glyphicon-plus"></span></a>
@@ -222,7 +222,7 @@
<span class="c1"># under the License.</span>
<span class="c1"># coding: utf-8</span>
-<span class="c1"># pylint: disable=line-too-long</span>
+<span class="c1"># pylint: disable=</span>
<span class="sd">"""Parameter optimizer."""</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'Trainer'</span><span class="p">]</span>
@@ -240,7 +240,7 @@
<span class="sd"> The set of parameters to optimize.</span>
<span class="sd"> optimizer : str or Optimizer</span>
<span class="sd"> The optimizer to use. See</span>
-<span class="sd"> `help <https://mxnet.incubator.apache.org/api/python/optimization/optimization.html#the-mxnet-optimizer-package>`_</span>
+<span class="sd"> `help <https://mxnet.incubator.apache.org/api/python/optimization.html#the-mxnet-optimizer-package>`_</span>
<span class="sd"> on Optimizer for a list of available optimizers.</span>
<span class="sd"> optimizer_params : dict</span>
<span class="sd"> Key-word arguments to be passed to optimizer constructor. For example,</span>
@@ -258,7 +258,7 @@
<span class="sd"> Properties</span>
<span class="sd"> ----------</span>
-<span class="sd"> learning_rate : float</span>
+<span class="sd"> learning_rate: float</span>
<span class="sd"> The current learning rate of the optimizer. Given an Optimizer object</span>
<span class="sd"> optimizer, its learning rate can be accessed as optimizer.learning_rate.</span>
<span class="sd"> """</span>
@@ -429,9 +429,6 @@
<span class="sd"> fname : str</span>
<span class="sd"> Path to input states file.</span>
<span class="sd"> """</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_kv_initialized</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_init_kvstore</span><span class="p">()</span>
-
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_update_on_kvstore</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_kvstore</span><span class="o">.</span><span class="n">load_optimizer_states</span><span class="p">(</span><span class="n">fname</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_optimizer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_kvstore</span><span class="o">.</span><span class="n">_updater</span><span class="o">.</span><span class="n">optimizer</span>
@@ -458,7 +455,7 @@
Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <strong>sponsored by the <i>Apache Incubator</i></strong>. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, [...]
</p>
<p>
- "Copyright © 2017-2018, The Apache Software Foundation
+ "Copyright © 2017, The Apache Software Foundation
Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."
</p>
</div>
diff --git a/_modules/mxnet/gluon/utils.html b/_modules/mxnet/gluon/utils.html
index d991dd4..1dc6fd7 100644
--- a/_modules/mxnet/gluon/utils.html
+++ b/_modules/mxnet/gluon/utils.html
@@ -60,6 +60,7 @@
</h1>
<nav class="nav-bar" id="main-nav">
<a class="main-nav-link" href="../../../install/index.html">Install</a>
+<a class="main-nav-link" href="../../../tutorials/index.html">Tutorials</a>
... 548674 lines suppressed ...
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