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Changes since Teledyne
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Antoine Harlé
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commit
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185 changed files with 16668 additions and 484 deletions
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||||
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|
||||
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|
||||
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<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_0_" class="arrow" onclick="toggleFolder('0_')">▼</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacedataug.html" target="_self">dataug</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_0_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1Augmented__model.html" target="_self">Augmented_model</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_1_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1Data__augV5.html" target="_self">Data_augV5</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_2_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1Data__augV7.html" target="_self">Data_augV7</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1Higher__model.html" target="_self">Higher_model</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_4_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1RandAug.html" target="_self">RandAug</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_1_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_1_" class="arrow" onclick="toggleFolder('1_')">▼</span><span class="icona"><span class="icon">N</span></span><b>model</b></td><td class="desc"></td></tr>
|
||||
<tr id="row_1_0_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmodel_1_1LeNet.html" target="_self">LeNet</a></td><td class="desc">Basic CNN ## </td></tr>
|
||||
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|
||||
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|
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91
higher/doc/html/classdataug_1_1Augmented__model-members.html
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91
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<tr class="even"><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#ad4adbd067e1370602884983ed2f751fa">__getitem__</a>(self, key)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#a057f438ee15dcd93cb6040b7389e3785">__init__</a>(self, data_augmenter, model)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#af5fae5304c9d75f50ffc4ee1ac7db9ac">augment</a>(self, mode=True)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#aff7c48066b6c81cccfdab4bc68b696eb">eval</a>(self)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#ad49e8b4696636766d9f7a31aeb497182">forward</a>(self, x)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#a0452448f74cc24e6a9c3564a6d8bf5c7">is_augmenting</a>(self)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#a8604cb4a03363f3631b3321d531484e3">items</a>(self)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#a1b9db2dc8c0f15bcb8185d23bb126d5f">TF_names</a>(self)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#afec6a703c32dc59eb23e9ae23358be07">train</a>(self, mode=True)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html#a399dd88785d6f9f8f01a4d562ae1f015">update</a>(self, modules)</td><td class="entry"><a class="el" href="classdataug_1_1Augmented__model.html">dataug.Augmented_model</a></td><td class="entry"></td></tr>
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Public Member Functions</h2></td></tr>
|
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<tr class="memitem:a057f438ee15dcd93cb6040b7389e3785"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#a057f438ee15dcd93cb6040b7389e3785">__init__</a> (self, data_augmenter, model)</td></tr>
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<tr class="separator:a057f438ee15dcd93cb6040b7389e3785"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ad49e8b4696636766d9f7a31aeb497182"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#ad49e8b4696636766d9f7a31aeb497182">forward</a> (self, x)</td></tr>
|
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<tr class="separator:ad49e8b4696636766d9f7a31aeb497182"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:af5fae5304c9d75f50ffc4ee1ac7db9ac"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#af5fae5304c9d75f50ffc4ee1ac7db9ac">augment</a> (self, mode=True)</td></tr>
|
||||
<tr class="separator:af5fae5304c9d75f50ffc4ee1ac7db9ac"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:afec6a703c32dc59eb23e9ae23358be07"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#afec6a703c32dc59eb23e9ae23358be07">train</a> (self, mode=True)</td></tr>
|
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<tr class="separator:afec6a703c32dc59eb23e9ae23358be07"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aff7c48066b6c81cccfdab4bc68b696eb"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#aff7c48066b6c81cccfdab4bc68b696eb">eval</a> (self)</td></tr>
|
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<tr class="separator:aff7c48066b6c81cccfdab4bc68b696eb"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a8604cb4a03363f3631b3321d531484e3"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#a8604cb4a03363f3631b3321d531484e3">items</a> (self)</td></tr>
|
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<tr class="separator:a8604cb4a03363f3631b3321d531484e3"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a399dd88785d6f9f8f01a4d562ae1f015"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#a399dd88785d6f9f8f01a4d562ae1f015">update</a> (self, modules)</td></tr>
|
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<tr class="separator:a399dd88785d6f9f8f01a4d562ae1f015"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a0452448f74cc24e6a9c3564a6d8bf5c7"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#a0452448f74cc24e6a9c3564a6d8bf5c7">is_augmenting</a> (self)</td></tr>
|
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<tr class="separator:a0452448f74cc24e6a9c3564a6d8bf5c7"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a1b9db2dc8c0f15bcb8185d23bb126d5f"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#a1b9db2dc8c0f15bcb8185d23bb126d5f">TF_names</a> (self)</td></tr>
|
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<tr class="separator:a1b9db2dc8c0f15bcb8185d23bb126d5f"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ad4adbd067e1370602884983ed2f751fa"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#ad4adbd067e1370602884983ed2f751fa">__getitem__</a> (self, key)</td></tr>
|
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<tr class="separator:ad4adbd067e1370602884983ed2f751fa"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a875e90c6e69ec6bf1233a80ba97b1791"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html#a875e90c6e69ec6bf1233a80ba97b1791">__str__</a> (self)</td></tr>
|
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<tr class="separator:a875e90c6e69ec6bf1233a80ba97b1791"><td class="memSeparator" colspan="2"> </td></tr>
|
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</table>
|
||||
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><pre class="fragment">Wrapper for a Data Augmentation module and a model.
|
||||
|
||||
Attributes:
|
||||
_mods (nn.ModuleDict): A dictionary containing the modules.
|
||||
_data_augmentation (bool): Wether data augmentation should be used.
|
||||
</pre> </div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
|
||||
<a id="a057f438ee15dcd93cb6040b7389e3785"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a057f438ee15dcd93cb6040b7389e3785">◆ </a></span>__init__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.__init__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>data_augmenter</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>model</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Init Augmented Model.
|
||||
|
||||
By default, data augmentation will be performed.
|
||||
|
||||
Args:
|
||||
data_augmenter (nn.Module): Data augmentation module.
|
||||
model (nn.Module): Network.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<h2 class="groupheader">Member Function Documentation</h2>
|
||||
<a id="ad4adbd067e1370602884983ed2f751fa"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ad4adbd067e1370602884983ed2f751fa">◆ </a></span>__getitem__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.__getitem__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>key</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Access to the modules.
|
||||
Args:
|
||||
key (string): Name of the module to access.
|
||||
|
||||
Returns:
|
||||
nn.Module.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a875e90c6e69ec6bf1233a80ba97b1791"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a875e90c6e69ec6bf1233a80ba97b1791">◆ </a></span>__str__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.__str__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Name of the module
|
||||
|
||||
Returns:
|
||||
String containing the name of the module as well as the higher levels parameters.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="af5fae5304c9d75f50ffc4ee1ac7db9ac"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#af5fae5304c9d75f50ffc4ee1ac7db9ac">◆ </a></span>augment()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.augment </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>mode</em> = <code>True</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Set the augmentation mode.
|
||||
|
||||
Args:
|
||||
mode (bool): Wether to perform data augmentation on the forward pass. (default: True)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="aff7c48066b6c81cccfdab4bc68b696eb"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#aff7c48066b6c81cccfdab4bc68b696eb">◆ </a></span>eval()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.eval </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Set the module to evaluation mode.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="ad49e8b4696636766d9f7a31aeb497182"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ad49e8b4696636766d9f7a31aeb497182">◆ </a></span>forward()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.forward </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Main method of the Augmented model.
|
||||
|
||||
Perform the forward pass of both modules.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of data.
|
||||
|
||||
Returns:
|
||||
Tensor : Output of the networks. Should be logits.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a0452448f74cc24e6a9c3564a6d8bf5c7"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a0452448f74cc24e6a9c3564a6d8bf5c7">◆ </a></span>is_augmenting()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.is_augmenting </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Return wether data augmentation is applied.
|
||||
|
||||
Returns:
|
||||
bool : True if data augmentation is applied.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a8604cb4a03363f3631b3321d531484e3"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a8604cb4a03363f3631b3321d531484e3">◆ </a></span>items()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.items </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Return an iterable of the ModuleDict key/value pairs.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a1b9db2dc8c0f15bcb8185d23bb126d5f"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a1b9db2dc8c0f15bcb8185d23bb126d5f">◆ </a></span>TF_names()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.TF_names </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Get the transformations names used by the data augmentation module.
|
||||
|
||||
Returns:
|
||||
list : names of the transformations of the data augmentation module.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="afec6a703c32dc59eb23e9ae23358be07"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#afec6a703c32dc59eb23e9ae23358be07">◆ </a></span>train()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.train </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>mode</em> = <code>True</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Set the module training mode.
|
||||
|
||||
Args:
|
||||
mode (bool): Wether to learn the parameter of the module. (default: None)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a399dd88785d6f9f8f01a4d562ae1f015"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a399dd88785d6f9f8f01a4d562ae1f015">◆ </a></span>update()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Augmented_model.update </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>modules</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Update the module dictionnary.
|
||||
|
||||
The new dictionnary should keep the same structure.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<hr/>The documentation for this class was generated from the following file:<ul>
|
||||
<li>/home/antoineh/github/smart_augmentation/higher/smart_aug/dataug.py</li>
|
||||
</ul>
|
||||
</div><!-- contents -->
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<!-- start footer part -->
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<hr class="footer"/><address class="footer"><small>
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Generated by  <a href="http://www.doxygen.org/index.html">
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<img class="footer" src="doxygen.png" alt="doxygen"/>
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</a> 1.8.13
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90
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<li class="navelem"><a class="el" href="namespacedataug.html">dataug</a></li><li class="navelem"><a class="el" href="classdataug_1_1Data__augV5.html">Data_augV5</a></li> </ul>
|
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<div class="headertitle">
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<div class="title">dataug.Data_augV5 Class Reference</div> </div>
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Inheritance diagram for dataug.Data_augV5:</div>
|
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<div class="dyncontent">
|
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<div class="center"><img src="classdataug_1_1Data__augV5__inherit__graph.png" border="0" usemap="#dataug_8Data__augV5_inherit__map" alt="Inheritance graph"/></div>
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Collaboration diagram for dataug.Data_augV5:</div>
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<div class="dyncontent">
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|
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<center><span class="legend">[<a href="graph_legend.html">legend</a>]</span></center></div>
|
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<hr/>The documentation for this class was generated from the following file:<ul>
|
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<li>/home/antoineh/github/smart_augmentation/higher/smart_aug/dataug.py</li>
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</ul>
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90
higher/doc/html/classdataug_1_1Data__augV7.html
Normal file
90
higher/doc/html/classdataug_1_1Data__augV7.html
Normal file
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<tr class="even"><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html#a2586084ef45ef8e08aa310a5cdd07bfe">__getitem__</a>(self, key)</td><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html">dataug.Higher_model</a></td><td class="entry"></td></tr>
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<tr><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html#addbc61b8165d39818598c4cb969c2841">__init__</a>(self, model)</td><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html">dataug.Higher_model</a></td><td class="entry"></td></tr>
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<tr><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html#a1bd8bee3d758a2a0f54eb37ddea857c8">detach_</a>(self)</td><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html">dataug.Higher_model</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html#ad0d2caf5b673e5ea7179eb7e5603903c">forward</a>(self, x)</td><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html">dataug.Higher_model</a></td><td class="entry"></td></tr>
|
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<tr><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html#ab6a29e0bff528d896c17925793b1cbbb">get_diffopt</a>(self, opt, grad_callback=None, track_higher_grads=True)</td><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html">dataug.Higher_model</a></td><td class="entry"></td></tr>
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<tr class="even"><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html#a58dbc71a89657f1700c7c19f5e097e53">state_dict</a>(self)</td><td class="entry"><a class="el" href="classdataug_1_1Higher__model.html">dataug.Higher_model</a></td><td class="entry"></td></tr>
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345
higher/doc/html/classdataug_1_1Higher__model.html
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345
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<table class="memberdecls">
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Public Member Functions</h2></td></tr>
|
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<tr class="memitem:addbc61b8165d39818598c4cb969c2841"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Higher__model.html#addbc61b8165d39818598c4cb969c2841">__init__</a> (self, model)</td></tr>
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<tr class="separator:addbc61b8165d39818598c4cb969c2841"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ab6a29e0bff528d896c17925793b1cbbb"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Higher__model.html#ab6a29e0bff528d896c17925793b1cbbb">get_diffopt</a> (self, opt, grad_callback=None, track_higher_grads=True)</td></tr>
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<tr class="separator:ab6a29e0bff528d896c17925793b1cbbb"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ad0d2caf5b673e5ea7179eb7e5603903c"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Higher__model.html#ad0d2caf5b673e5ea7179eb7e5603903c">forward</a> (self, x)</td></tr>
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<tr class="separator:ad0d2caf5b673e5ea7179eb7e5603903c"><td class="memSeparator" colspan="2"> </td></tr>
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||||
<tr class="memitem:a1bd8bee3d758a2a0f54eb37ddea857c8"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Higher__model.html#a1bd8bee3d758a2a0f54eb37ddea857c8">detach_</a> (self)</td></tr>
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<tr class="separator:a1bd8bee3d758a2a0f54eb37ddea857c8"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a58dbc71a89657f1700c7c19f5e097e53"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Higher__model.html#a58dbc71a89657f1700c7c19f5e097e53">state_dict</a> (self)</td></tr>
|
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<tr class="separator:a58dbc71a89657f1700c7c19f5e097e53"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a2586084ef45ef8e08aa310a5cdd07bfe"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Higher__model.html#a2586084ef45ef8e08aa310a5cdd07bfe">__getitem__</a> (self, key)</td></tr>
|
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<tr class="separator:a2586084ef45ef8e08aa310a5cdd07bfe"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a662c66a8fc13fddd2f5fe21610801c41"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Higher__model.html#a662c66a8fc13fddd2f5fe21610801c41">__str__</a> (self)</td></tr>
|
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<tr class="separator:a662c66a8fc13fddd2f5fe21610801c41"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
</table>
|
||||
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><pre class="fragment">Model wrapper for higher gradient tracking.
|
||||
|
||||
Keep in memory the orginial model and it's functionnal, higher, version.
|
||||
|
||||
Might not be needed anymore if Higher implement detach for fmodel.
|
||||
|
||||
see : https://github.com/facebookresearch/higher
|
||||
|
||||
TODO: Get rid of the original model if not needed by user.
|
||||
|
||||
Attributes:
|
||||
_name (string): Name of the model.
|
||||
_mods (nn.ModuleDict): Models (Orginial and Higher version).
|
||||
</pre> </div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
|
||||
<a id="addbc61b8165d39818598c4cb969c2841"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#addbc61b8165d39818598c4cb969c2841">◆ </a></span>__init__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Higher_model.__init__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>model</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Init Higher_model.
|
||||
|
||||
Args:
|
||||
model (nn.Module): Network for which higher gradients can be tracked.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<h2 class="groupheader">Member Function Documentation</h2>
|
||||
<a id="a2586084ef45ef8e08aa310a5cdd07bfe"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a2586084ef45ef8e08aa310a5cdd07bfe">◆ </a></span>__getitem__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Higher_model.__getitem__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>key</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Access to modules
|
||||
Args:
|
||||
key (string): Name of the module to access.
|
||||
|
||||
Returns:
|
||||
nn.Module.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a662c66a8fc13fddd2f5fe21610801c41"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a662c66a8fc13fddd2f5fe21610801c41">◆ </a></span>__str__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Higher_model.__str__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Name of the module
|
||||
|
||||
Returns:
|
||||
String containing the name of the module.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a1bd8bee3d758a2a0f54eb37ddea857c8"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a1bd8bee3d758a2a0f54eb37ddea857c8">◆ </a></span>detach_()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Higher_model.detach_ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Detach from the graph.
|
||||
|
||||
Needed to limit the number of state kept in memory.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="ad0d2caf5b673e5ea7179eb7e5603903c"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ad0d2caf5b673e5ea7179eb7e5603903c">◆ </a></span>forward()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Higher_model.forward </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Main method of the model.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of data.
|
||||
|
||||
Returns:
|
||||
Tensor : Output of the network. Should be logits.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="ab6a29e0bff528d896c17925793b1cbbb"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ab6a29e0bff528d896c17925793b1cbbb">◆ </a></span>get_diffopt()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Higher_model.get_diffopt </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>opt</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>grad_callback</em> = <code>None</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>track_higher_grads</em> = <code>True</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Get a differentiable version of an Optimizer.
|
||||
|
||||
Higher/Differentiable optimizer required to be used for higher gradient tracking.
|
||||
Usage : diffopt.step(loss) == (opt.zero_grad, loss.backward, opt.step)
|
||||
|
||||
Be warry that if track_higher_grads is set to True, a new state of the model would be saved each time diffopt.step() is called.
|
||||
Thus increasing memory consumption. The detach_() method should be called to reset the gradient tape and prevent memory saturation.
|
||||
|
||||
Args:
|
||||
opt (torch.optim): Optimizer to make differentiable.
|
||||
grad_callback (fct(grads)=grads): Function applied to the list of gradients parameters (ex: clipping). (default: None)
|
||||
track_higher_grads (bool): Wether higher gradient are tracked. If True, the graph/states will be retained to allow backpropagation. (default: True)
|
||||
|
||||
Returns:
|
||||
(Higher.DifferentiableOptimizer): Differentiable version of the optimizer.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a58dbc71a89657f1700c7c19f5e097e53"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a58dbc71a89657f1700c7c19f5e097e53">◆ </a></span>state_dict()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.Higher_model.state_dict </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Returns a dictionary containing a whole state of the module.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<hr/>The documentation for this class was generated from the following file:<ul>
|
||||
<li>/home/antoineh/github/smart_augmentation/higher/smart_aug/dataug.py</li>
|
||||
</ul>
|
||||
</div><!-- contents -->
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<!-- start footer part -->
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<hr class="footer"/><address class="footer"><small>
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Generated by  <a href="http://www.doxygen.org/index.html">
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</a> 1.8.13
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||||
</small></address>
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||||
</body>
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</html>
|
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b4acd3c15e2d2c4b45736e420877c8d3
|
||||
90
higher/doc/html/classdataug_1_1RandAug.html
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|
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<td id="projectalign" style="padding-left: 0.5em;">
|
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<div id="projectname">My Project
|
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||||
<div id="nav-path" class="navpath">
|
||||
<ul>
|
||||
<li class="navelem"><a class="el" href="namespacedataug.html">dataug</a></li><li class="navelem"><a class="el" href="classdataug_1_1RandAug.html">RandAug</a></li> </ul>
|
||||
</div>
|
||||
</div><!-- top -->
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<div class="header">
|
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|
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<div class="title">dataug.RandAug Class Reference</div> </div>
|
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</div><!--header-->
|
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<div class="contents">
|
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<div class="dynheader">
|
||||
Inheritance diagram for dataug.RandAug:</div>
|
||||
<div class="dyncontent">
|
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<div class="center"><img src="classdataug_1_1RandAug__inherit__graph.png" border="0" usemap="#dataug_8RandAug_inherit__map" alt="Inheritance graph"/></div>
|
||||
<center><span class="legend">[<a href="graph_legend.html">legend</a>]</span></center></div>
|
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<div class="dynheader">
|
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Collaboration diagram for dataug.RandAug:</div>
|
||||
<div class="dyncontent">
|
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<div class="center"><img src="classdataug_1_1RandAug__coll__graph.png" border="0" usemap="#dataug_8RandAug_coll__map" alt="Collaboration graph"/></div>
|
||||
<center><span class="legend">[<a href="graph_legend.html">legend</a>]</span></center></div>
|
||||
<hr/>The documentation for this class was generated from the following file:<ul>
|
||||
<li>/home/antoineh/github/smart_augmentation/higher/smart_aug/dataug.py</li>
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</ul>
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2
higher/doc/html/classdataug_1_1RandAug__coll__graph.map
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||||
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|
||||
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|
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<td id="projectalign" style="padding-left: 0.5em;">
|
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<div id="projectname">My Project
|
||||
</div>
|
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|
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<div class="contents">
|
||||
<div class="qindex"><a class="qindex" href="#letter_a">a</a> | <a class="qindex" href="#letter_d">d</a> | <a class="qindex" href="#letter_h">h</a> | <a class="qindex" href="#letter_l">l</a> | <a class="qindex" href="#letter_r">r</a></div>
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||||
<tr><td rowspan="2" valign="bottom"><a name="letter_a"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  a  </div></td></tr></table>
|
||||
</td><td valign="top"><a class="el" href="classdataug_1_1Data__augV7.html">Data_augV7</a> (<a class="el" href="namespacedataug.html">dataug</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_l"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  l  </div></td></tr></table>
|
||||
</td><td></td></tr>
|
||||
<tr><td rowspan="2" valign="bottom"><a name="letter_h"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  h  </div></td></tr></table>
|
||||
</td><td></td></tr>
|
||||
<tr><td valign="top"><a class="el" href="classdataug_1_1Augmented__model.html">Augmented_model</a> (<a class="el" href="namespacedataug.html">dataug</a>)   </td><td valign="top"><a class="el" href="classmodel_1_1LeNet.html">LeNet</a> (model)   </td><td></td></tr>
|
||||
<tr><td rowspan="2" valign="bottom"><a name="letter_d"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  d  </div></td></tr></table>
|
||||
</td><td valign="top"><a class="el" href="classdataug_1_1Higher__model.html">Higher_model</a> (<a class="el" href="namespacedataug.html">dataug</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_r"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  r  </div></td></tr></table>
|
||||
</td><td></td></tr>
|
||||
<tr><td></td><td></td></tr>
|
||||
<tr><td valign="top"><a class="el" href="classdataug_1_1Data__augV5.html">Data_augV5</a> (<a class="el" href="namespacedataug.html">dataug</a>)   </td><td></td><td valign="top"><a class="el" href="classdataug_1_1RandAug.html">RandAug</a> (<a class="el" href="namespacedataug.html">dataug</a>)   </td><td></td></tr>
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89
higher/doc/html/classmodel_1_1LeNet-members.html
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<li class="navelem"><b>model</b></li><li class="navelem"><a class="el" href="classmodel_1_1LeNet.html">LeNet</a></li> </ul>
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<p>This is the complete list of members for <a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a>, including all inherited members.</p>
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<table class="directory">
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<tr class="even"><td class="entry"><a class="el" href="classmodel_1_1LeNet.html#a2eeeea3dffe0593eae0dc1b904d40133">__init__</a>(self, num_inp, num_out)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
|
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<tr><td class="entry"><a class="el" href="classmodel_1_1LeNet.html#aabd58c42bd5e22f708c735d2ca28db9f">__str__</a>(self)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
|
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<tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>conv1</b> (defined in <a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a>)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
|
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<tr bgcolor="#f0f0f0"><td class="entry"><b>conv2</b> (defined in <a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a>)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
|
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<tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fc1</b> (defined in <a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a>)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
|
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<tr bgcolor="#f0f0f0"><td class="entry"><b>fc2</b> (defined in <a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a>)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
|
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<tr class="even"><td class="entry"><a class="el" href="classmodel_1_1LeNet.html#a24f7f74722e95e8888513fe19f35f2bb">forward</a>(self, x)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
|
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<tr bgcolor="#f0f0f0"><td class="entry"><b>pool</b> (defined in <a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a>)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
|
||||
<tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>pool2</b> (defined in <a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a>)</td><td class="entry"><a class="el" href="classmodel_1_1LeNet.html">model.LeNet</a></td><td class="entry"></td></tr>
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</a> 1.8.13
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|
||||
</html>
|
||||
212
higher/doc/html/classmodel_1_1LeNet.html
Normal file
212
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Normal file
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<div id="nav-path" class="navpath">
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<ul>
|
||||
<li class="navelem"><b>model</b></li><li class="navelem"><a class="el" href="classmodel_1_1LeNet.html">LeNet</a></li> </ul>
|
||||
</div>
|
||||
</div><!-- top -->
|
||||
<div class="header">
|
||||
<div class="summary">
|
||||
<a href="#pub-methods">Public Member Functions</a> |
|
||||
<a href="#pub-attribs">Public Attributes</a> |
|
||||
<a href="classmodel_1_1LeNet-members.html">List of all members</a> </div>
|
||||
<div class="headertitle">
|
||||
<div class="title">model.LeNet Class Reference</div> </div>
|
||||
</div><!--header-->
|
||||
<div class="contents">
|
||||
|
||||
<p>Basic CNN ##.
|
||||
<a href="classmodel_1_1LeNet.html#details">More...</a></p>
|
||||
<div class="dynheader">
|
||||
Inheritance diagram for model.LeNet:</div>
|
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<div class="dyncontent">
|
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<div class="center"><img src="classmodel_1_1LeNet__inherit__graph.png" border="0" usemap="#model_8LeNet_inherit__map" alt="Inheritance graph"/></div>
|
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<center><span class="legend">[<a href="graph_legend.html">legend</a>]</span></center></div>
|
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<div class="dynheader">
|
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Collaboration diagram for model.LeNet:</div>
|
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<div class="dyncontent">
|
||||
<div class="center"><img src="classmodel_1_1LeNet__coll__graph.png" border="0" usemap="#model_8LeNet_coll__map" alt="Collaboration graph"/></div>
|
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<center><span class="legend">[<a href="graph_legend.html">legend</a>]</span></center></div>
|
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<table class="memberdecls">
|
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
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Public Member Functions</h2></td></tr>
|
||||
<tr class="memitem:a2eeeea3dffe0593eae0dc1b904d40133"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classmodel_1_1LeNet.html#a2eeeea3dffe0593eae0dc1b904d40133">__init__</a> (self, num_inp, num_out)</td></tr>
|
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<tr class="separator:a2eeeea3dffe0593eae0dc1b904d40133"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a24f7f74722e95e8888513fe19f35f2bb"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classmodel_1_1LeNet.html#a24f7f74722e95e8888513fe19f35f2bb">forward</a> (self, x)</td></tr>
|
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<tr class="separator:a24f7f74722e95e8888513fe19f35f2bb"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aabd58c42bd5e22f708c735d2ca28db9f"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classmodel_1_1LeNet.html#aabd58c42bd5e22f708c735d2ca28db9f">__str__</a> (self)</td></tr>
|
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<tr class="separator:aabd58c42bd5e22f708c735d2ca28db9f"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
</table><table class="memberdecls">
|
||||
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
|
||||
Public Attributes</h2></td></tr>
|
||||
<tr class="memitem:a6777d294c0e4afcd456a91a3da1ace5a"><td class="memItemLeft" align="right" valign="top"><a id="a6777d294c0e4afcd456a91a3da1ace5a"></a>
|
||||
 </td><td class="memItemRight" valign="bottom"><b>conv1</b></td></tr>
|
||||
<tr class="separator:a6777d294c0e4afcd456a91a3da1ace5a"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a54cb7a65b71143e02b713739928e7061"><td class="memItemLeft" align="right" valign="top"><a id="a54cb7a65b71143e02b713739928e7061"></a>
|
||||
 </td><td class="memItemRight" valign="bottom"><b>pool</b></td></tr>
|
||||
<tr class="separator:a54cb7a65b71143e02b713739928e7061"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ad13082d4d96bff3e22f5e950b6a677c2"><td class="memItemLeft" align="right" valign="top"><a id="ad13082d4d96bff3e22f5e950b6a677c2"></a>
|
||||
 </td><td class="memItemRight" valign="bottom"><b>conv2</b></td></tr>
|
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<tr class="separator:ad13082d4d96bff3e22f5e950b6a677c2"><td class="memSeparator" colspan="2"> </td></tr>
|
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<tr class="memitem:a137f85f153ae6f30d8b0f72dd447bf07"><td class="memItemLeft" align="right" valign="top"><a id="a137f85f153ae6f30d8b0f72dd447bf07"></a>
|
||||
 </td><td class="memItemRight" valign="bottom"><b>pool2</b></td></tr>
|
||||
<tr class="separator:a137f85f153ae6f30d8b0f72dd447bf07"><td class="memSeparator" colspan="2"> </td></tr>
|
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<tr class="memitem:a4a7664e9b9b12e4dc7a5d1c6ed227cef"><td class="memItemLeft" align="right" valign="top"><a id="a4a7664e9b9b12e4dc7a5d1c6ed227cef"></a>
|
||||
 </td><td class="memItemRight" valign="bottom"><b>fc1</b></td></tr>
|
||||
<tr class="separator:a4a7664e9b9b12e4dc7a5d1c6ed227cef"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aac7f47bfc62dc033a2230d177f698777"><td class="memItemLeft" align="right" valign="top"><a id="aac7f47bfc62dc033a2230d177f698777"></a>
|
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 </td><td class="memItemRight" valign="bottom"><b>fc2</b></td></tr>
|
||||
<tr class="separator:aac7f47bfc62dc033a2230d177f698777"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
</table>
|
||||
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><p>Basic CNN ##. </p>
|
||||
<pre class="fragment">Basic CNN.</pre> </div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
|
||||
<a id="a2eeeea3dffe0593eae0dc1b904d40133"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a2eeeea3dffe0593eae0dc1b904d40133">◆ </a></span>__init__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def model.LeNet.__init__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>num_inp</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>num_out</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Init LeNet.</pre>
|
||||
</div>
|
||||
</div>
|
||||
<h2 class="groupheader">Member Function Documentation</h2>
|
||||
<a id="aabd58c42bd5e22f708c735d2ca28db9f"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#aabd58c42bd5e22f708c735d2ca28db9f">◆ </a></span>__str__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def model.LeNet.__str__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Get name of model</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a24f7f74722e95e8888513fe19f35f2bb"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a24f7f74722e95e8888513fe19f35f2bb">◆ </a></span>forward()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def model.LeNet.forward </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em> </td>
|
||||
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|
||||
<pre class="fragment">Main method of LeNet</pre>
|
||||
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|
||||
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|
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<hr/>The documentation for this class was generated from the following file:<ul>
|
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Generated by  <a href="http://www.doxygen.org/index.html">
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2
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</small></address>
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</html>
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1596
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120
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|
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<html xmlns="http://www.w3.org/1999/xhtml">
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<head>
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<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
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<meta name="generator" content="Doxygen 1.8.13"/>
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<meta name="viewport" content="width=device-width, initial-scale=1"/>
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<title>My Project: Class Members</title>
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<link href="tabs.css" rel="stylesheet" type="text/css"/>
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<script type="text/javascript" src="jquery.js"></script>
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<script type="text/javascript" src="search/search.js"></script>
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<div id="projectname">My Project
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|
||||
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<div class="contents">
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<div class="textblock">Here is a list of all documented class members with links to the class documentation for each member:</div><ul>
|
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<li>__getitem__()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#ad4adbd067e1370602884983ed2f751fa">dataug.Augmented_model</a>
|
||||
, <a class="el" href="classdataug_1_1Higher__model.html#a2586084ef45ef8e08aa310a5cdd07bfe">dataug.Higher_model</a>
|
||||
</li>
|
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<li>__init__()
|
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: <a class="el" href="classdataug_1_1Augmented__model.html#a057f438ee15dcd93cb6040b7389e3785">dataug.Augmented_model</a>
|
||||
, <a class="el" href="classdataug_1_1Higher__model.html#addbc61b8165d39818598c4cb969c2841">dataug.Higher_model</a>
|
||||
, <a class="el" href="classmodel_1_1LeNet.html#a2eeeea3dffe0593eae0dc1b904d40133">model.LeNet</a>
|
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</li>
|
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<li>__str__()
|
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: <a class="el" href="classdataug_1_1Augmented__model.html#a875e90c6e69ec6bf1233a80ba97b1791">dataug.Augmented_model</a>
|
||||
, <a class="el" href="classdataug_1_1Higher__model.html#a662c66a8fc13fddd2f5fe21610801c41">dataug.Higher_model</a>
|
||||
, <a class="el" href="classmodel_1_1LeNet.html#aabd58c42bd5e22f708c735d2ca28db9f">model.LeNet</a>
|
||||
</li>
|
||||
<li>augment()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#af5fae5304c9d75f50ffc4ee1ac7db9ac">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>detach_()
|
||||
: <a class="el" href="classdataug_1_1Higher__model.html#a1bd8bee3d758a2a0f54eb37ddea857c8">dataug.Higher_model</a>
|
||||
</li>
|
||||
<li>eval()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#aff7c48066b6c81cccfdab4bc68b696eb">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>forward()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#ad49e8b4696636766d9f7a31aeb497182">dataug.Augmented_model</a>
|
||||
, <a class="el" href="classdataug_1_1Higher__model.html#ad0d2caf5b673e5ea7179eb7e5603903c">dataug.Higher_model</a>
|
||||
, <a class="el" href="classmodel_1_1LeNet.html#a24f7f74722e95e8888513fe19f35f2bb">model.LeNet</a>
|
||||
</li>
|
||||
<li>get_diffopt()
|
||||
: <a class="el" href="classdataug_1_1Higher__model.html#ab6a29e0bff528d896c17925793b1cbbb">dataug.Higher_model</a>
|
||||
</li>
|
||||
<li>is_augmenting()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a0452448f74cc24e6a9c3564a6d8bf5c7">dataug.Augmented_model</a>
|
||||
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|
||||
<li>items()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a8604cb4a03363f3631b3321d531484e3">dataug.Augmented_model</a>
|
||||
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|
||||
<li>state_dict()
|
||||
: <a class="el" href="classdataug_1_1Higher__model.html#a58dbc71a89657f1700c7c19f5e097e53">dataug.Higher_model</a>
|
||||
</li>
|
||||
<li>TF_names()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a1b9db2dc8c0f15bcb8185d23bb126d5f">dataug.Augmented_model</a>
|
||||
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|
||||
<li>train()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#afec6a703c32dc59eb23e9ae23358be07">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>update()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a399dd88785d6f9f8f01a4d562ae1f015">dataug.Augmented_model</a>
|
||||
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|
||||
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|
||||
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|
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<!-- start footer part -->
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<hr class="footer"/><address class="footer"><small>
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Generated by  <a href="http://www.doxygen.org/index.html">
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<img class="footer" src="doxygen.png" alt="doxygen"/>
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</a> 1.8.13
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</html>
|
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120
higher/doc/html/functions_func.html
Normal file
120
higher/doc/html/functions_func.html
Normal file
|
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@ -0,0 +1,120 @@
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<meta name="generator" content="Doxygen 1.8.13"/>
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|
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<td id="projectalign" style="padding-left: 0.5em;">
|
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|
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|
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|
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|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
<!-- end header part -->
|
||||
<!-- Generated by Doxygen 1.8.13 -->
|
||||
<script type="text/javascript">
|
||||
var searchBox = new SearchBox("searchBox", "search",false,'Search');
|
||||
</script>
|
||||
<script type="text/javascript" src="menudata.js"></script>
|
||||
<script type="text/javascript" src="menu.js"></script>
|
||||
<script type="text/javascript">
|
||||
$(function() {
|
||||
initMenu('',true,false,'search.php','Search');
|
||||
$(document).ready(function() { init_search(); });
|
||||
});
|
||||
</script>
|
||||
<div id="main-nav"></div>
|
||||
</div><!-- top -->
|
||||
<!-- window showing the filter options -->
|
||||
<div id="MSearchSelectWindow"
|
||||
onmouseover="return searchBox.OnSearchSelectShow()"
|
||||
onmouseout="return searchBox.OnSearchSelectHide()"
|
||||
onkeydown="return searchBox.OnSearchSelectKey(event)">
|
||||
</div>
|
||||
|
||||
<!-- iframe showing the search results (closed by default) -->
|
||||
<div id="MSearchResultsWindow">
|
||||
<iframe src="javascript:void(0)" frameborder="0"
|
||||
name="MSearchResults" id="MSearchResults">
|
||||
</iframe>
|
||||
</div>
|
||||
|
||||
<div class="contents">
|
||||
 <ul>
|
||||
<li>__getitem__()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#ad4adbd067e1370602884983ed2f751fa">dataug.Augmented_model</a>
|
||||
, <a class="el" href="classdataug_1_1Higher__model.html#a2586084ef45ef8e08aa310a5cdd07bfe">dataug.Higher_model</a>
|
||||
</li>
|
||||
<li>__init__()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a057f438ee15dcd93cb6040b7389e3785">dataug.Augmented_model</a>
|
||||
, <a class="el" href="classdataug_1_1Higher__model.html#addbc61b8165d39818598c4cb969c2841">dataug.Higher_model</a>
|
||||
, <a class="el" href="classmodel_1_1LeNet.html#a2eeeea3dffe0593eae0dc1b904d40133">model.LeNet</a>
|
||||
</li>
|
||||
<li>__str__()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a875e90c6e69ec6bf1233a80ba97b1791">dataug.Augmented_model</a>
|
||||
, <a class="el" href="classdataug_1_1Higher__model.html#a662c66a8fc13fddd2f5fe21610801c41">dataug.Higher_model</a>
|
||||
, <a class="el" href="classmodel_1_1LeNet.html#aabd58c42bd5e22f708c735d2ca28db9f">model.LeNet</a>
|
||||
</li>
|
||||
<li>augment()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#af5fae5304c9d75f50ffc4ee1ac7db9ac">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>detach_()
|
||||
: <a class="el" href="classdataug_1_1Higher__model.html#a1bd8bee3d758a2a0f54eb37ddea857c8">dataug.Higher_model</a>
|
||||
</li>
|
||||
<li>eval()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#aff7c48066b6c81cccfdab4bc68b696eb">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>forward()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#ad49e8b4696636766d9f7a31aeb497182">dataug.Augmented_model</a>
|
||||
, <a class="el" href="classdataug_1_1Higher__model.html#ad0d2caf5b673e5ea7179eb7e5603903c">dataug.Higher_model</a>
|
||||
, <a class="el" href="classmodel_1_1LeNet.html#a24f7f74722e95e8888513fe19f35f2bb">model.LeNet</a>
|
||||
</li>
|
||||
<li>get_diffopt()
|
||||
: <a class="el" href="classdataug_1_1Higher__model.html#ab6a29e0bff528d896c17925793b1cbbb">dataug.Higher_model</a>
|
||||
</li>
|
||||
<li>is_augmenting()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a0452448f74cc24e6a9c3564a6d8bf5c7">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>items()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a8604cb4a03363f3631b3321d531484e3">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>state_dict()
|
||||
: <a class="el" href="classdataug_1_1Higher__model.html#a58dbc71a89657f1700c7c19f5e097e53">dataug.Higher_model</a>
|
||||
</li>
|
||||
<li>TF_names()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a1b9db2dc8c0f15bcb8185d23bb126d5f">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>train()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#afec6a703c32dc59eb23e9ae23358be07">dataug.Augmented_model</a>
|
||||
</li>
|
||||
<li>update()
|
||||
: <a class="el" href="classdataug_1_1Augmented__model.html#a399dd88785d6f9f8f01a4d562ae1f015">dataug.Augmented_model</a>
|
||||
</li>
|
||||
</ul>
|
||||
</div><!-- contents -->
|
||||
<!-- start footer part -->
|
||||
<hr class="footer"/><address class="footer"><small>
|
||||
Generated by  <a href="http://www.doxygen.org/index.html">
|
||||
<img class="footer" src="doxygen.png" alt="doxygen"/>
|
||||
</a> 1.8.13
|
||||
</small></address>
|
||||
</body>
|
||||
</html>
|
||||
102
higher/doc/html/graph_legend.html
Normal file
102
higher/doc/html/graph_legend.html
Normal file
|
|
@ -0,0 +1,102 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html xmlns="http://www.w3.org/1999/xhtml">
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
||||
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
|
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<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1"/>
|
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<title>My Project: Graph Legend</title>
|
||||
<link href="tabs.css" rel="stylesheet" type="text/css"/>
|
||||
<script type="text/javascript" src="jquery.js"></script>
|
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<script type="text/javascript" src="dynsections.js"></script>
|
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<link href="search/search.css" rel="stylesheet" type="text/css"/>
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|
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<script type="text/javascript" src="search/search.js"></script>
|
||||
<link href="doxygen.css" rel="stylesheet" type="text/css" />
|
||||
</head>
|
||||
<body>
|
||||
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
|
||||
<div id="titlearea">
|
||||
<table cellspacing="0" cellpadding="0">
|
||||
<tbody>
|
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<tr style="height: 56px;">
|
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<td id="projectalign" style="padding-left: 0.5em;">
|
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<div id="projectname">My Project
|
||||
</div>
|
||||
</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
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</div>
|
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<!-- end header part -->
|
||||
<!-- Generated by Doxygen 1.8.13 -->
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<script type="text/javascript">
|
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var searchBox = new SearchBox("searchBox", "search",false,'Search');
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||||
</script>
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$(function() {
|
||||
initMenu('',true,false,'search.php','Search');
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$(document).ready(function() { init_search(); });
|
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});
|
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|
||||
<div id="main-nav"></div>
|
||||
</div><!-- top -->
|
||||
<!-- window showing the filter options -->
|
||||
<div id="MSearchSelectWindow"
|
||||
onmouseover="return searchBox.OnSearchSelectShow()"
|
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onmouseout="return searchBox.OnSearchSelectHide()"
|
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onkeydown="return searchBox.OnSearchSelectKey(event)">
|
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</div>
|
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|
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<!-- iframe showing the search results (closed by default) -->
|
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<div id="MSearchResultsWindow">
|
||||
<iframe src="javascript:void(0)" frameborder="0"
|
||||
name="MSearchResults" id="MSearchResults">
|
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</iframe>
|
||||
</div>
|
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|
||||
<div class="header">
|
||||
<div class="headertitle">
|
||||
<div class="title">Graph Legend</div> </div>
|
||||
</div><!--header-->
|
||||
<div class="contents">
|
||||
<p>This page explains how to interpret the graphs that are generated by doxygen.</p>
|
||||
<p>Consider the following example: </p><div class="fragment"><div class="line">/*! Invisible class because of truncation */</div><div class="line">class Invisible { };</div><div class="line"></div><div class="line">/*! Truncated class, inheritance relation is hidden */</div><div class="line">class Truncated : public Invisible { };</div><div class="line"></div><div class="line">/* Class not documented with doxygen comments */</div><div class="line">class Undocumented { };</div><div class="line"></div><div class="line">/*! Class that is inherited using public inheritance */</div><div class="line">class PublicBase : public Truncated { };</div><div class="line"></div><div class="line">/*! A template class */</div><div class="line">template<class T> class Templ { };</div><div class="line"></div><div class="line">/*! Class that is inherited using protected inheritance */</div><div class="line">class ProtectedBase { };</div><div class="line"></div><div class="line">/*! Class that is inherited using private inheritance */</div><div class="line">class PrivateBase { };</div><div class="line"></div><div class="line">/*! Class that is used by the Inherited class */</div><div class="line">class Used { };</div><div class="line"></div><div class="line">/*! Super class that inherits a number of other classes */</div><div class="line">class Inherited : public PublicBase,</div><div class="line"> protected ProtectedBase,</div><div class="line"> private PrivateBase,</div><div class="line"> public Undocumented,</div><div class="line"> public Templ<int></div><div class="line">{</div><div class="line"> private:</div><div class="line"> Used *m_usedClass;</div><div class="line">};</div></div><!-- fragment --><p> This will result in the following graph:</p>
|
||||
<center><div class="image">
|
||||
<img src="graph_legend.png"/>
|
||||
</div>
|
||||
</center><p>The boxes in the above graph have the following meaning: </p>
|
||||
<ul>
|
||||
<li>
|
||||
A filled gray box represents the struct or class for which the graph is generated. </li>
|
||||
<li>
|
||||
A box with a black border denotes a documented struct or class. </li>
|
||||
<li>
|
||||
A box with a gray border denotes an undocumented struct or class. </li>
|
||||
<li>
|
||||
A box with a red border denotes a documented struct or class forwhich not all inheritance/containment relations are shown. A graph is truncated if it does not fit within the specified boundaries. </li>
|
||||
</ul>
|
||||
<p>The arrows have the following meaning: </p>
|
||||
<ul>
|
||||
<li>
|
||||
A dark blue arrow is used to visualize a public inheritance relation between two classes. </li>
|
||||
<li>
|
||||
A dark green arrow is used for protected inheritance. </li>
|
||||
<li>
|
||||
A dark red arrow is used for private inheritance. </li>
|
||||
<li>
|
||||
A purple dashed arrow is used if a class is contained or used by another class. The arrow is labelled with the variable(s) through which the pointed class or struct is accessible. </li>
|
||||
<li>
|
||||
A yellow dashed arrow denotes a relation between a template instance and the template class it was instantiated from. The arrow is labelled with the template parameters of the instance. </li>
|
||||
</ul>
|
||||
</div><!-- contents -->
|
||||
<!-- start footer part -->
|
||||
<hr class="footer"/><address class="footer"><small>
|
||||
Generated by  <a href="http://www.doxygen.org/index.html">
|
||||
<img class="footer" src="doxygen.png" alt="doxygen"/>
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</a> 1.8.13
|
||||
</small></address>
|
||||
</body>
|
||||
</html>
|
||||
1
higher/doc/html/graph_legend.md5
Normal file
1
higher/doc/html/graph_legend.md5
Normal file
|
|
@ -0,0 +1 @@
|
|||
387ff8eb65306fa251338d3c9bd7bfff
|
||||
86
higher/doc/html/hierarchy.html
Normal file
86
higher/doc/html/hierarchy.html
Normal file
|
|
@ -0,0 +1,86 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html xmlns="http://www.w3.org/1999/xhtml">
|
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<head>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
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<meta http-equiv="X-UA-Compatible" content="IE=9"/>
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<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1"/>
|
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<title>My Project: Class Hierarchy</title>
|
||||
<link href="tabs.css" rel="stylesheet" type="text/css"/>
|
||||
<script type="text/javascript" src="jquery.js"></script>
|
||||
<script type="text/javascript" src="dynsections.js"></script>
|
||||
<link href="search/search.css" rel="stylesheet" type="text/css"/>
|
||||
<script type="text/javascript" src="search/searchdata.js"></script>
|
||||
<script type="text/javascript" src="search/search.js"></script>
|
||||
<link href="doxygen.css" rel="stylesheet" type="text/css" />
|
||||
</head>
|
||||
<body>
|
||||
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
|
||||
<div id="titlearea">
|
||||
<table cellspacing="0" cellpadding="0">
|
||||
<tbody>
|
||||
<tr style="height: 56px;">
|
||||
<td id="projectalign" style="padding-left: 0.5em;">
|
||||
<div id="projectname">My Project
|
||||
</div>
|
||||
</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
<!-- end header part -->
|
||||
<!-- Generated by Doxygen 1.8.13 -->
|
||||
<script type="text/javascript">
|
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var searchBox = new SearchBox("searchBox", "search",false,'Search');
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||||
</script>
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<script type="text/javascript" src="menudata.js"></script>
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||||
<script type="text/javascript" src="menu.js"></script>
|
||||
<script type="text/javascript">
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$(function() {
|
||||
initMenu('',true,false,'search.php','Search');
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||||
$(document).ready(function() { init_search(); });
|
||||
});
|
||||
</script>
|
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<div id="main-nav"></div>
|
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</div><!-- top -->
|
||||
<!-- window showing the filter options -->
|
||||
<div id="MSearchSelectWindow"
|
||||
onmouseover="return searchBox.OnSearchSelectShow()"
|
||||
onmouseout="return searchBox.OnSearchSelectHide()"
|
||||
onkeydown="return searchBox.OnSearchSelectKey(event)">
|
||||
</div>
|
||||
|
||||
<!-- iframe showing the search results (closed by default) -->
|
||||
<div id="MSearchResultsWindow">
|
||||
<iframe src="javascript:void(0)" frameborder="0"
|
||||
name="MSearchResults" id="MSearchResults">
|
||||
</iframe>
|
||||
</div>
|
||||
|
||||
<div class="header">
|
||||
<div class="headertitle">
|
||||
<div class="title">Class Hierarchy</div> </div>
|
||||
</div><!--header-->
|
||||
<div class="contents">
|
||||
<div class="textblock">
|
||||
<p><a href="inherits.html">Go to the graphical class hierarchy</a></p>
|
||||
This inheritance list is sorted roughly, but not completely, alphabetically:</div><div class="directory">
|
||||
<div class="levels">[detail level <span onclick="javascript:toggleLevel(1);">1</span><span onclick="javascript:toggleLevel(2);">2</span>]</div><table class="directory">
|
||||
<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_0_" class="arrow" onclick="toggleFolder('0_')">▼</span><span class="icona"><span class="icon">C</span></span><b>Module</b></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_0_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1Augmented__model.html" target="_self">dataug.Augmented_model</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_1_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1Data__augV5.html" target="_self">dataug.Data_augV5</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_2_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1Data__augV7.html" target="_self">dataug.Data_augV7</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1Higher__model.html" target="_self">dataug.Higher_model</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_4_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdataug_1_1RandAug.html" target="_self">dataug.RandAug</a></td><td class="desc"></td></tr>
|
||||
<tr id="row_0_5_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmodel_1_1LeNet.html" target="_self">model.LeNet</a></td><td class="desc">Basic CNN ## </td></tr>
|
||||
</table>
|
||||
</div><!-- directory -->
|
||||
</div><!-- contents -->
|
||||
<!-- start footer part -->
|
||||
<hr class="footer"/><address class="footer"><small>
|
||||
Generated by  <a href="http://www.doxygen.org/index.html">
|
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<img class="footer" src="doxygen.png" alt="doxygen"/>
|
||||
</a> 1.8.13
|
||||
</small></address>
|
||||
</body>
|
||||
</html>
|
||||
73
higher/doc/html/index.html
Normal file
73
higher/doc/html/index.html
Normal file
|
|
@ -0,0 +1,73 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html xmlns="http://www.w3.org/1999/xhtml">
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
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<meta http-equiv="X-UA-Compatible" content="IE=9"/>
|
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<meta name="generator" content="Doxygen 1.8.13"/>
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|
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<script type="text/javascript" src="search/search.js"></script>
|
||||
<link href="doxygen.css" rel="stylesheet" type="text/css" />
|
||||
</head>
|
||||
<body>
|
||||
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
|
||||
<div id="titlearea">
|
||||
<table cellspacing="0" cellpadding="0">
|
||||
<tbody>
|
||||
<tr style="height: 56px;">
|
||||
<td id="projectalign" style="padding-left: 0.5em;">
|
||||
<div id="projectname">My Project
|
||||
</div>
|
||||
</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
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87
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44
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var menudata={children:[
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{text:"Namespace Members",url:"namespacemembers.html",children:[
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{text:"f",url:"namespacemembers.html#index_f"},
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{text:"i",url:"namespacemembers.html#index_i"},
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{text:"p",url:"namespacemembers.html#index_p"},
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{text:"r",url:"namespacemembers.html#index_r"},
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|
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{text:"Functions",url:"functions_func.html"}]}]}]}
|
||||
137
higher/doc/html/namespacedatasets.html
Normal file
137
higher/doc/html/namespacedatasets.html
Normal file
|
|
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|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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onmouseover="return searchBox.OnSearchSelectShow()"
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</div><!-- top -->
|
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<div class="header">
|
||||
<div class="summary">
|
||||
<a href="#var-members">Variables</a> </div>
|
||||
<div class="headertitle">
|
||||
<div class="title">datasets Namespace Reference</div> </div>
|
||||
</div><!--header-->
|
||||
<div class="contents">
|
||||
<table class="memberdecls">
|
||||
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a>
|
||||
Variables</h2></td></tr>
|
||||
<tr class="memitem:a378bf954553e5a1f1292f5e2f76ec8fe"><td class="memItemLeft" align="right" valign="top"><a id="a378bf954553e5a1f1292f5e2f76ec8fe"></a>
|
||||
int </td><td class="memItemRight" valign="bottom"><b>BATCH_SIZE</b> = 300</td></tr>
|
||||
<tr class="separator:a378bf954553e5a1f1292f5e2f76ec8fe"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a1b6467c031c2ce8c5dd62e340eac1f98"><td class="memItemLeft" align="right" valign="top"><a id="a1b6467c031c2ce8c5dd62e340eac1f98"></a>
|
||||
int </td><td class="memItemRight" valign="bottom"><b>TEST_SIZE</b> = BATCH_SIZE</td></tr>
|
||||
<tr class="separator:a1b6467c031c2ce8c5dd62e340eac1f98"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a5726b73178bf908a459a1e9bf233e55c"><td class="memItemLeft" align="right" valign="top"><a id="a5726b73178bf908a459a1e9bf233e55c"></a>
|
||||
bool </td><td class="memItemRight" valign="bottom"><b>download_data</b> = False</td></tr>
|
||||
<tr class="separator:a5726b73178bf908a459a1e9bf233e55c"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a262c04f45d82620be0d4a8e3c9f159d0"><td class="memItemLeft" align="right" valign="top"><a id="a262c04f45d82620be0d4a8e3c9f159d0"></a>
|
||||
int </td><td class="memItemRight" valign="bottom"><b>num_workers</b> = 2</td></tr>
|
||||
<tr class="separator:a262c04f45d82620be0d4a8e3c9f159d0"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a3aa630da6a755f2ff14225b1afd2c7c8"><td class="memItemLeft" align="right" valign="top"><a id="a3aa630da6a755f2ff14225b1afd2c7c8"></a>
|
||||
bool </td><td class="memItemRight" valign="bottom"><b>pin_memory</b> = False</td></tr>
|
||||
<tr class="separator:a3aa630da6a755f2ff14225b1afd2c7c8"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:af74e1474d29bc3fc8867d7949905f078"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><b>transform</b></td></tr>
|
||||
<tr class="separator:af74e1474d29bc3fc8867d7949905f078"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a49e9e609d45f8da572fc0df8ce1680b7"><td class="memItemLeft" align="right" valign="top"><a id="a49e9e609d45f8da572fc0df8ce1680b7"></a>
|
||||
 </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedatasets.html#a49e9e609d45f8da572fc0df8ce1680b7">data_train</a> = torchvision.datasets.CIFAR10("../data", train=True, download=download_data, transform=transform)</td></tr>
|
||||
<tr class="memdesc:a49e9e609d45f8da572fc0df8ce1680b7"><td class="mdescLeft"> </td><td class="mdescRight">Classic Dataset ### Training data. <br /></td></tr>
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 </td><td class="memItemRight" valign="bottom"><b>data_test</b> = torchvision.datasets.CIFAR10("../data", train=False, download=download_data, transform=transform)</td></tr>
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 </td><td class="memItemRight" valign="bottom"><b>train_subset_indices</b> = range(int(len(<a class="el" href="namespacedatasets.html#a49e9e609d45f8da572fc0df8ce1680b7">data_train</a>)/2))</td></tr>
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<tr class="memitem:aecf7bbf6e45588bc160b044a9fff4b7f"><td class="memItemLeft" align="right" valign="top"><a id="aecf7bbf6e45588bc160b044a9fff4b7f"></a>
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 </td><td class="memItemRight" valign="bottom"><b>val_subset_indices</b> = range(int(len(<a class="el" href="namespacedatasets.html#a49e9e609d45f8da572fc0df8ce1680b7">data_train</a>)/2),len(<a class="el" href="namespacedatasets.html#a49e9e609d45f8da572fc0df8ce1680b7">data_train</a>))</td></tr>
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 </td><td class="memItemRight" valign="bottom"><b>dl_train</b> = torch.utils.data.DataLoader(<a class="el" href="namespacedatasets.html#a49e9e609d45f8da572fc0df8ce1680b7">data_train</a>, batch_size=BATCH_SIZE, shuffle=False, sampler=SubsetRandomSampler(train_subset_indices), num_workers=num_workers, pin_memory=pin_memory)</td></tr>
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 </td><td class="memItemRight" valign="bottom"><b>dl_val</b> = torch.utils.data.DataLoader(<a class="el" href="namespacedatasets.html#a49e9e609d45f8da572fc0df8ce1680b7">data_train</a>, batch_size=BATCH_SIZE, shuffle=False, sampler=SubsetRandomSampler(val_subset_indices), num_workers=num_workers, pin_memory=pin_memory)</td></tr>
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 </td><td class="memItemRight" valign="bottom"><b>dl_test</b> = torch.utils.data.DataLoader(data_test, batch_size=TEST_SIZE, shuffle=False, num_workers=num_workers, pin_memory=pin_memory)</td></tr>
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</table>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><pre class="fragment">Dataset definition.
|
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|
||||
MNIST / CIFAR10
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</pre> </div><h2 class="groupheader">Variable Documentation</h2>
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<a id="af74e1474d29bc3fc8867d7949905f078"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#af74e1474d29bc3fc8867d7949905f078">◆ </a></span>transform</h2>
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<td class="memname">datasets.transform</td>
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<b>Initial value:</b><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> = torchvision.transforms.Compose([</div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>  torchvision.transforms.ToTensor(),</div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>  <span class="comment">#torchvision.transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)), #CIFAR10</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> ])</div></div><!-- fragment -->
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<div class="title">dataug Namespace Reference</div> </div>
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Classes</h2></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Augmented__model.html">Augmented_model</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Data__augV5.html">Data_augV5</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Data__augV7.html">Data_augV7</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1Higher__model.html">Higher_model</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classdataug_1_1RandAug.html">RandAug</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
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</table><table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
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Functions</h2></td></tr>
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<tr class="memitem:a49f9aa79e56656aaaf631498ce639a77"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a49f9aa79e56656aaaf631498ce639a77">__init__</a> (self, TF_dict=TF.TF_dict, N_TF=1, mix_dist=0.0, fixed_prob=False, fixed_mag=True, shared_mag=True)</td></tr>
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<tr class="separator:a49f9aa79e56656aaaf631498ce639a77"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a5c200dee1df65ee57ff3cfe046367439"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a5c200dee1df65ee57ff3cfe046367439">forward</a> (self, x)</td></tr>
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<tr class="memitem:aac093b3b527fe9ab7aeb08d0a60a2375"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#aac093b3b527fe9ab7aeb08d0a60a2375">apply_TF</a> (self, x, sampled_TF)</td></tr>
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<tr class="memitem:ab896f408428568708381647ce1acbcb0"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#ab896f408428568708381647ce1acbcb0">adjust_param</a> (self, soft=False)</td></tr>
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<tr class="memitem:a7d57ec611fa1ed1479fa2219b0d83d3f"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a7d57ec611fa1ed1479fa2219b0d83d3f">loss_weight</a> (self)</td></tr>
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<tr class="memitem:afa0085b0b89464ab1103ca1cf631465a"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#afa0085b0b89464ab1103ca1cf631465a">reg_loss</a> (self, reg_factor=0.005)</td></tr>
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<tr class="memitem:a4fad5e8c4ce3185f6b3e51b05ba06fbf"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a4fad5e8c4ce3185f6b3e51b05ba06fbf">train</a> (self, mode=True)</td></tr>
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<tr class="memitem:a24108b035b3036f30165d37c57c25045"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a24108b035b3036f30165d37c57c25045">eval</a> (self)</td></tr>
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<tr class="memitem:a5c8accf01013ed35abd3484034181d24"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a5c8accf01013ed35abd3484034181d24">augment</a> (self, mode=True)</td></tr>
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<tr class="memitem:aa357c11aa23f0850bc1e1de17ce901b2"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#aa357c11aa23f0850bc1e1de17ce901b2">__getitem__</a> (self, key)</td></tr>
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<tr class="memitem:a5ce12566a63f79e8f79ff186d8b59820"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a5ce12566a63f79e8f79ff186d8b59820">__str__</a> (self)</td></tr>
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<tr class="memitem:a100bf720b9a794b1fb7b1a608e88c393"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a100bf720b9a794b1fb7b1a608e88c393">TF_prob</a> (self)</td></tr>
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<tr class="memitem:a28f3ce87c65716b74f18392c8846f557"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacedataug.html#a28f3ce87c65716b74f18392c8846f557">__init__</a> (self, TF_dict=TF.TF_dict, N_TF=1, mag=TF.PARAMETER_MAX)</td></tr>
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Variables</h2></td></tr>
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<tr class="memitem:a6f6b78392ea3335dfe8871c42bbfdefd"><td class="memItemLeft" align="right" valign="top"><a id="a6f6b78392ea3335dfe8871c42bbfdefd"></a>
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 </td><td class="memItemRight" valign="bottom"><b>mag</b></td></tr>
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</table>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><pre class="fragment">Data augmentation modules.
|
||||
|
||||
Features a custom implementaiton of RandAugment (RandAug), as well as a data augmentation modules allowing gradient propagation.
|
||||
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||||
Typical usage:
|
||||
|
||||
aug_model = Augmented_model(Data_AugV5, model)
|
||||
</pre> </div><h2 class="groupheader">Function Documentation</h2>
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<a id="aa357c11aa23f0850bc1e1de17ce901b2"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#aa357c11aa23f0850bc1e1de17ce901b2">◆ </a></span>__getitem__()</h2>
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<td>(</td>
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</div><div class="memdoc">
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<pre class="fragment">Access to the learnable parameters
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Args:
|
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key (string): Name of the learnable parameter to access.
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Returns:
|
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nn.Parameter.
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</pre>
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<a id="a49f9aa79e56656aaaf631498ce639a77"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#a49f9aa79e56656aaaf631498ce639a77">◆ </a></span>__init__() <span class="overload">[1/2]</span></h2>
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<td class="memname">def dataug.__init__ </td>
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<td>(</td>
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<td class="paramname"><em>self</em>, </td>
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<td class="paramname"><em>TF_dict</em> = <code>TF.TF_dict</code>, </td>
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|
||||
<td class="paramname"><em>N_TF</em> = <code>1</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>mix_dist</em> = <code>0.0</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>fixed_prob</em> = <code>False</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>fixed_mag</em> = <code>True</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>shared_mag</em> = <code>True</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Data augmentation module with learnable parameters.
|
||||
|
||||
Applies transformations (TF) to batch of data.
|
||||
Each TF is defined by a (name, probability of application, magnitude of distorsion) tuple which can be learned. For the full definiton of the TF, see transformations.py.
|
||||
The TF probabilities defines a distribution from which we sample the TF applied.
|
||||
|
||||
Be warry, that the order of sequential application of TF is not taken into account. See Data_augV7.
|
||||
|
||||
Attributes:
|
||||
_data_augmentation (bool): Wether TF will be applied during forward pass.
|
||||
_TF_dict (dict) : A dictionnary containing the data transformations (TF) to be applied.
|
||||
_TF (list) : List of TF names.
|
||||
_nb_tf (int) : Number of TF used.
|
||||
_N_seqTF (int) : Number of TF to be applied sequentially to each inputs
|
||||
_shared_mag (bool) : Wether to share a single magnitude parameters for all TF.
|
||||
_fixed_mag (bool): Wether to lock the TF magnitudes.
|
||||
_fixed_prob (bool): Wether to lock the TF probabilies.
|
||||
_samples (list): Sampled TF index during last forward pass.
|
||||
_mix_dist (bool): Wether we use a mix of an uniform distribution and the real distribution (TF probabilites). If False, only a uniform distribution is used.
|
||||
_fixed_mix (bool): Wether we lock the mix distribution factor.
|
||||
_params (nn.ParameterDict): Learnable parameters.
|
||||
_reg_tgt (Tensor): Target for the magnitude regularisation. Only used when _fixed_mag is set to false (ie. we learn the magnitudes).
|
||||
_reg_mask (list): Mask selecting the TF considered for the regularisation.
|
||||
</pre><pre class="fragment">Init Data_augv5.
|
||||
|
||||
Args:
|
||||
TF_dict (dict): A dictionnary containing the data transformations (TF) to be applied. (default: use all available TF from transformations.py)
|
||||
N_TF (int): Number of TF to be applied sequentially to each inputs. (default: 1)
|
||||
mix_dist (float): Proportion [0.0, 1.0] of the real distribution used for sampling/selection of the TF. Distribution = (1-mix_dist)*Uniform_distribution + mix_dist*Real_distribution. If None is given, try to learn this parameter. (default: 0)
|
||||
fixed_prob (bool): Wether to lock the TF probabilies. (default: False)
|
||||
fixed_mag (bool): Wether to lock the TF magnitudes. (default: True)
|
||||
shared_mag (bool): Wether to share a single magnitude parameters for all TF. (default: True)
|
||||
</pre><pre class="fragment">Data augmentation module with learnable parameters.
|
||||
|
||||
Applies transformations (TF) to batch of data.
|
||||
Each TF is defined by a (name, probability of application, magnitude of distorsion) tuple which can be learned. For the full definiton of the TF, see transformations.py.
|
||||
The TF probabilities defines a distribution from which we sample the TF applied.
|
||||
|
||||
Replace the use of TF by TF sets which are combinaisons of classic TF.
|
||||
|
||||
Attributes:
|
||||
_data_augmentation (bool): Wether TF will be applied during forward pass.
|
||||
_TF_dict (dict) : A dictionnary containing the data transformations (TF) to be applied.
|
||||
_TF (list) : List of TF names.
|
||||
_nb_tf (int) : Number of TF used.
|
||||
_N_seqTF (int) : Number of TF to be applied sequentially to each inputs
|
||||
_shared_mag (bool) : Wether to share a single magnitude parameters for all TF.
|
||||
_fixed_mag (bool): Wether to lock the TF magnitudes.
|
||||
_fixed_prob (bool): Wether to lock the TF probabilies.
|
||||
_samples (list): Sampled TF index during last forward pass.
|
||||
_mix_dist (bool): Wether we use a mix of an uniform distribution and the real distribution (TF probabilites). If False, only a uniform distribution is used.
|
||||
_fixed_mix (bool): Wether we lock the mix distribution factor.
|
||||
_params (nn.ParameterDict): Learnable parameters.
|
||||
_reg_tgt (Tensor): Target for the magnitude regularisation. Only used when _fixed_mag is set to false (ie. we learn the magnitudes).
|
||||
_reg_mask (list): Mask selecting the TF considered for the regularisation.
|
||||
</pre><pre class="fragment">Init Data_augv7.
|
||||
|
||||
Args:
|
||||
TF_dict (dict): A dictionnary containing the data transformations (TF) to be applied. (default: use all available TF from transformations.py)
|
||||
N_TF (int): Number of TF to be applied sequentially to each inputs. Minimum 2, otherwise prefer using Data_augV5. (default: 2)
|
||||
mix_dist (float): Proportion [0.0, 1.0] of the real distribution used for sampling/selection of the TF. Distribution = (1-mix_dist)*Uniform_distribution + mix_dist*Real_distribution. If None is given, try to learn this parameter. (default: 0)
|
||||
fixed_prob (bool): Wether to lock the TF probabilies. (default: False)
|
||||
fixed_mag (bool): Wether to lock the TF magnitudes. (default: True)
|
||||
shared_mag (bool): Wether to share a single magnitude parameters for all TF. (default: True)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a28f3ce87c65716b74f18392c8846f557"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a28f3ce87c65716b74f18392c8846f557">◆ </a></span>__init__() <span class="overload">[2/2]</span></h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.__init__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>TF_dict</em> = <code>TF.TF_dict</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>N_TF</em> = <code>1</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>mag</em> = <code>TF.PARAMETER_MAX</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">RandAugment implementation.
|
||||
|
||||
Applies transformations (TF) to batch of data.
|
||||
Each TF is defined by a (name, probability of application, magnitude of distorsion) tuple. For the full definiton of the TF, see transformations.py.
|
||||
The TF probabilities are ignored and, instead selected randomly.
|
||||
|
||||
Attributes:
|
||||
_data_augmentation (bool): Wether TF will be applied during forward pass.
|
||||
_TF_dict (dict) : A dictionnary containing the data transformations (TF) to be applied.
|
||||
_TF (list) : List of TF names.
|
||||
_nb_tf (int) : Number of TF used.
|
||||
_N_seqTF (int) : Number of TF to be applied sequentially to each inputs
|
||||
_shared_mag (bool) : Wether to share a single magnitude parameters for all TF. Should be True.
|
||||
_fixed_mag (bool): Wether to lock the TF magnitudes. Should be True.
|
||||
_params (nn.ParameterDict): Data augmentation parameters.
|
||||
</pre><pre class="fragment">Init RandAug.
|
||||
|
||||
Args:
|
||||
TF_dict (dict): A dictionnary containing the data transformations (TF) to be applied. (default: use all available TF from transformations.py)
|
||||
N_TF (int): Number of TF to be applied sequentially to each inputs. (default: 1)
|
||||
mag (float): Magnitude of the TF. Should be between [PARAMETER_MIN, PARAMETER_MAX] defined in transformations.py. (default: PARAMETER_MAX)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a5ce12566a63f79e8f79ff186d8b59820"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a5ce12566a63f79e8f79ff186d8b59820">◆ </a></span>__str__()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.__str__ </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Name of the module
|
||||
|
||||
Returns:
|
||||
String containing the name of the module as well as the higher levels parameters.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="ab896f408428568708381647ce1acbcb0"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ab896f408428568708381647ce1acbcb0">◆ </a></span>adjust_param()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.adjust_param </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>soft</em> = <code>False</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Enforce limitations to the learned parameters.
|
||||
|
||||
Ensure that the parameters value stays in the right intevals. This should be called after each update of those parameters.
|
||||
|
||||
Args:
|
||||
soft (bool): Wether to use a softmax function for TF probabilites. Not Recommended as it tends to lock the probabilities, preventing them to be learned. (default: False)
|
||||
</pre><pre class="fragment">Not used
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="aac093b3b527fe9ab7aeb08d0a60a2375"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#aac093b3b527fe9ab7aeb08d0a60a2375">◆ </a></span>apply_TF()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.apply_TF </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>sampled_TF</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Applies the sampled transformations.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of data.
|
||||
sampled_TF (Tensor): Indexes of the TF to be applied to each element of data.
|
||||
|
||||
Returns:
|
||||
Tensor: Batch of tranformed data.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a5c8accf01013ed35abd3484034181d24"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a5c8accf01013ed35abd3484034181d24">◆ </a></span>augment()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.augment </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>mode</em> = <code>True</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Set the augmentation mode.
|
||||
|
||||
Args:
|
||||
mode (bool): Wether to perform data augmentation on the forward pass. (default: True)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a24108b035b3036f30165d37c57c25045"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a24108b035b3036f30165d37c57c25045">◆ </a></span>eval()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.eval </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Set the module to evaluation mode.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a5c200dee1df65ee57ff3cfe046367439"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a5c200dee1df65ee57ff3cfe046367439">◆ </a></span>forward()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.forward </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Main method of the Data augmentation module.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of data.
|
||||
|
||||
Returns:
|
||||
Tensor : Batch of tranformed data.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a7d57ec611fa1ed1479fa2219b0d83d3f"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a7d57ec611fa1ed1479fa2219b0d83d3f">◆ </a></span>loss_weight()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.loss_weight </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Weights for the loss.
|
||||
Compute the weights for the loss of each inputs depending on wich TF was applied to them.
|
||||
Should be applied to the loss before reduction.
|
||||
|
||||
Do nottake into account the order of application of the TF. See Data_augV7.
|
||||
|
||||
Returns:
|
||||
Tensor : Loss weights.
|
||||
</pre><pre class="fragment">Weights for the loss.
|
||||
Compute the weights for the loss of each inputs depending on wich TF was applied to them.
|
||||
Should be applied to the loss before reduction.
|
||||
|
||||
Returns:
|
||||
Tensor : Loss weights.
|
||||
</pre><pre class="fragment">Not used
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="afa0085b0b89464ab1103ca1cf631465a"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#afa0085b0b89464ab1103ca1cf631465a">◆ </a></span>reg_loss()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.reg_loss </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>reg_factor</em> = <code>0.005</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Regularisation term used to learn the magnitudes.
|
||||
Use an L2 loss to encourage high magnitudes TF.
|
||||
|
||||
Args:
|
||||
reg_factor (float): Factor by wich the regularisation loss is multiplied. (default: 0.005)
|
||||
Returns:
|
||||
Tensor containing the regularisation loss value.
|
||||
</pre><pre class="fragment">Not used
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a100bf720b9a794b1fb7b1a608e88c393"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a100bf720b9a794b1fb7b1a608e88c393">◆ </a></span>TF_prob()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.TF_prob </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Gives an estimation of the individual TF probabilities.
|
||||
|
||||
Be warry that the probability returned isn't exact. The TF distribution isn't fully represented by those.
|
||||
Each probability should be taken individualy. They only represent the chance for a specific TF to be picked at least once.
|
||||
|
||||
Returms:
|
||||
Tensor containing the single TF probabilities of applications.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a4fad5e8c4ce3185f6b3e51b05ba06fbf"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a4fad5e8c4ce3185f6b3e51b05ba06fbf">◆ </a></span>train()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def dataug.train </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>self</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>mode</em> = <code>True</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Set the module training mode.
|
||||
|
||||
Args:
|
||||
mode (bool): Wether to learn the parameter of the module. None would not change mode. (default: None)
|
||||
</pre>
|
||||
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||||
0
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 <ul>
|
||||
<li>data_train
|
||||
: <a class="el" href="namespacedatasets.html#a49e9e609d45f8da572fc0df8ce1680b7">datasets</a>
|
||||
</li>
|
||||
<li>t0
|
||||
: <a class="el" href="namespacetest__dataug.html#acb183b445bf78adc1733ec99506191e8">test_dataug</a>
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||||
83
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<div id="projectname">My Project
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|
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|
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<div class="textblock">Here is a list of all documented namespaces with brief descriptions:</div><div class="directory">
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<table class="directory">
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<tr id="row_0_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacedatasets.html" target="_self">datasets</a></td><td class="desc"></td></tr>
|
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<tr id="row_1_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacedataug.html" target="_self">dataug</a></td><td class="desc"></td></tr>
|
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<tr id="row_2_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetest__dataug.html" target="_self">test_dataug</a></td><td class="desc"></td></tr>
|
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<tr id="row_3_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetrain__utils.html" target="_self">train_utils</a></td><td class="desc"></td></tr>
|
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<tr id="row_4_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetransformations.html" target="_self">transformations</a></td><td class="desc"></td></tr>
|
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<tr id="row_5_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceutils.html" target="_self">utils</a></td><td class="desc"></td></tr>
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188
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188
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|
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Variables</h2></td></tr>
|
||||
<tr class="memitem:abf9cdb5cbd8187b5bc3cfdebc5eb3f62"><td class="memItemLeft" align="right" valign="top"><a id="abf9cdb5cbd8187b5bc3cfdebc5eb3f62"></a>
|
||||
list </td><td class="memItemRight" valign="bottom"><b>tf_names</b></td></tr>
|
||||
<tr class="separator:abf9cdb5cbd8187b5bc3cfdebc5eb3f62"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:acc962540e9500d766908487f60477460"><td class="memItemLeft" align="right" valign="top"><a id="acc962540e9500d766908487f60477460"></a>
|
||||
 </td><td class="memItemRight" valign="bottom"><b>device</b> = torch.device('cuda')</td></tr>
|
||||
<tr class="separator:acc962540e9500d766908487f60477460"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a4216fd2bb9f315fe14acdd0c2f0ad9b7"><td class="memItemLeft" align="right" valign="top"><a id="a4216fd2bb9f315fe14acdd0c2f0ad9b7"></a>
|
||||
string </td><td class="memItemRight" valign="bottom"><b>device_name</b> = 'CPU'</td></tr>
|
||||
<tr class="separator:a4216fd2bb9f315fe14acdd0c2f0ad9b7"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a118af35f8451e22ae7de7f16378e05e0"><td class="memItemLeft" align="right" valign="top">dictionary </td><td class="memItemRight" valign="bottom"><b>tasks</b></td></tr>
|
||||
<tr class="separator:a118af35f8451e22ae7de7f16378e05e0"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ad805b5e40ca85f4ad1a05112e1bc3fee"><td class="memItemLeft" align="right" valign="top"><a id="ad805b5e40ca85f4ad1a05112e1bc3fee"></a>
|
||||
int </td><td class="memItemRight" valign="bottom"><b>n_inner_iter</b> = 1</td></tr>
|
||||
<tr class="separator:ad805b5e40ca85f4ad1a05112e1bc3fee"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a31dbfe21f649abd303b619d88977de0b"><td class="memItemLeft" align="right" valign="top"><a id="a31dbfe21f649abd303b619d88977de0b"></a>
|
||||
int </td><td class="memItemRight" valign="bottom"><b>epochs</b> = 200</td></tr>
|
||||
<tr class="separator:a31dbfe21f649abd303b619d88977de0b"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ad9efa472385803e79aac393e1d64df4f"><td class="memItemLeft" align="right" valign="top"><a id="ad9efa472385803e79aac393e1d64df4f"></a>
|
||||
int </td><td class="memItemRight" valign="bottom"><b>dataug_epoch_start</b> = 0</td></tr>
|
||||
<tr class="separator:ad9efa472385803e79aac393e1d64df4f"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a73e13dfcff6496be8bd69fb48cf38e95"><td class="memItemLeft" align="right" valign="top">dictionary </td><td class="memItemRight" valign="bottom"><b>optim_param</b></td></tr>
|
||||
<tr class="separator:a73e13dfcff6496be8bd69fb48cf38e95"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a670cb2a0efb71495503578e837f12a4b"><td class="memItemLeft" align="right" valign="top"><a id="a670cb2a0efb71495503578e837f12a4b"></a>
|
||||
 </td><td class="memItemRight" valign="bottom"><b>model</b> = <a class="el" href="classmodel_1_1LeNet.html">LeNet</a>(3,10)</td></tr>
|
||||
<tr class="separator:a670cb2a0efb71495503578e837f12a4b"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:acb183b445bf78adc1733ec99506191e8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetest__dataug.html#acb183b445bf78adc1733ec99506191e8">t0</a> = time.process_time()</td></tr>
|
||||
<tr class="memdesc:acb183b445bf78adc1733ec99506191e8"><td class="mdescLeft"> </td><td class="mdescRight">Classic ####. <a href="#acb183b445bf78adc1733ec99506191e8">More...</a><br /></td></tr>
|
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<tr class="memitem:ad6b12b3992524b48096dd0402e211f3a"><td class="memItemLeft" align="right" valign="top"><a id="ad6b12b3992524b48096dd0402e211f3a"></a>
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||||
 </td><td class="memItemRight" valign="bottom"><b>log</b> = train_classic(model=model, opt_param=optim_param, epochs=epochs, print_freq=1)</td></tr>
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 </td><td class="memItemRight" valign="bottom"><b>exec_time</b> = time.process_time() - <a class="el" href="namespacetest__dataug.html#acb183b445bf78adc1733ec99506191e8">t0</a></td></tr>
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list </td><td class="memItemRight" valign="bottom"><b>times</b> = [x["time"] for x in log]</td></tr>
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dictionary </td><td class="memItemRight" valign="bottom"><b>out</b> = {"Accuracy": max([x["acc"] for x in log]), "Time": (np.mean(times),np.std(times), exec_time), 'Optimizer': optim_param['Inner'], "Device": device_name, "Log": log}</td></tr>
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string </td><td class="memItemRight" valign="bottom"><b>filename</b> = "{}-{} epochs".format(str(model),epochs)</td></tr>
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<tr class="separator:a695283a4cc6068bac64d3b4aa13a1ecd"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a1101c845c13a87dfcd8ba2ded71b8614"><td class="memItemLeft" align="right" valign="top"><a id="a1101c845c13a87dfcd8ba2ded71b8614"></a>
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 </td><td class="memItemRight" valign="bottom"><b>f</b></td></tr>
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<tr class="separator:a1101c845c13a87dfcd8ba2ded71b8614"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ab749dc37c9d411e3884f0af475bd1ffa"><td class="memItemLeft" align="right" valign="top"><a id="ab749dc37c9d411e3884f0af475bd1ffa"></a>
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 </td><td class="memItemRight" valign="bottom"><b>indent</b></td></tr>
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<tr class="separator:ab749dc37c9d411e3884f0af475bd1ffa"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a5668e18ddfc99ac81a117fca40b52931"><td class="memItemLeft" align="right" valign="top"><a id="a5668e18ddfc99ac81a117fca40b52931"></a>
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 </td><td class="memItemRight" valign="bottom"><b>fig_name</b></td></tr>
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<tr class="separator:a5668e18ddfc99ac81a117fca40b52931"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a1df4692eeda704d1c0506016baf6f352"><td class="memItemLeft" align="right" valign="top"><a id="a1df4692eeda704d1c0506016baf6f352"></a>
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dictionary </td><td class="memItemRight" valign="bottom"><b>tf_dict</b> = {k: TF.TF_dict[k] for k in tf_names}</td></tr>
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<tr class="separator:a1df4692eeda704d1c0506016baf6f352"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a76160308860e7131db5ac78f5e0c1eeb"><td class="memItemLeft" align="right" valign="top"><a id="a76160308860e7131db5ac78f5e0c1eeb"></a>
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 </td><td class="memItemRight" valign="bottom"><b>aug_model</b> = <a class="el" href="classdataug_1_1Augmented__model.html">Augmented_model</a>(<a class="el" href="classdataug_1_1Data__augV7.html">Data_augV7</a>(TF_dict=tf_dict, N_TF=3, mix_dist=0.8, fixed_prob=False, fixed_mag=False, shared_mag=False), model).to(device)</td></tr>
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<tr class="separator:a76160308860e7131db5ac78f5e0c1eeb"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a57af326f9b98395f4e35abfbf47108f3"><td class="memItemLeft" align="right" valign="top"><a id="a57af326f9b98395f4e35abfbf47108f3"></a>
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 </td><td class="memItemRight" valign="bottom"><b>param_names</b></td></tr>
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<tr class="separator:a57af326f9b98395f4e35abfbf47108f3"><td class="memSeparator" colspan="2"> </td></tr>
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</table>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><pre class="fragment">Script to run experiment on smart augmentation.</pre> </div><h2 class="groupheader">Variable Documentation</h2>
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<a id="a73e13dfcff6496be8bd69fb48cf38e95"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#a73e13dfcff6496be8bd69fb48cf38e95">◆ </a></span>optim_param</h2>
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<div class="memproto">
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<td class="memname">dictionary test_dataug.optim_param</td>
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</tr>
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</table>
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</div><div class="memdoc">
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<b>Initial value:</b><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> = {</div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>  <span class="stringliteral">'Meta'</span>:{</div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>  <span class="stringliteral">'optim'</span>:<span class="stringliteral">'Adam'</span>,</div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>  <span class="stringliteral">'lr'</span>:1e-2, <span class="comment">#1e-2</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  },</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>  <span class="stringliteral">'Inner'</span>:{</div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  <span class="stringliteral">'optim'</span>: <span class="stringliteral">'SGD'</span>,</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  <span class="stringliteral">'lr'</span>:1e-2, <span class="comment">#1e-2</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  <span class="stringliteral">'momentum'</span>:0.9, <span class="comment">#0.9</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  }</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  }</div></div><!-- fragment -->
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</div>
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</div>
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<a id="acb183b445bf78adc1733ec99506191e8"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#acb183b445bf78adc1733ec99506191e8">◆ </a></span>t0</h2>
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<div class="memproto">
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<td class="memname">test_dataug.t0 = time.process_time()</td>
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</tr>
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</table>
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</div><div class="memdoc">
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<p>Classic ####. </p>
|
||||
<p>Augmented Dataset ####.</p>
|
||||
<p>Augmented Model #### </p>
|
||||
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</div>
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</div>
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<a id="a118af35f8451e22ae7de7f16378e05e0"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#a118af35f8451e22ae7de7f16378e05e0">◆ </a></span>tasks</h2>
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<div class="memproto">
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<tr>
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<td class="memname">dictionary test_dataug.tasks</td>
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</tr>
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</table>
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</div><div class="memdoc">
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||||
<b>Initial value:</b><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> = {</div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>  <span class="comment">#'classic',</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>  <span class="comment">#'aug_dataset', #Moved to old code</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>  <span class="stringliteral">'aug_model'</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  }</div></div><!-- fragment -->
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Generated by  <a href="http://www.doxygen.org/index.html">
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</a> 1.8.13
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higher/doc/html/namespacetrain__utils.html
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<div class="header">
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<a href="#func-members">Functions</a> </div>
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<div class="headertitle">
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<div class="title">train_utils Namespace Reference</div> </div>
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<table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
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Functions</h2></td></tr>
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<tr class="memitem:a3021b0f6d08103a5d6b30ec48bd257f4"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetrain__utils.html#a3021b0f6d08103a5d6b30ec48bd257f4">test</a> (model)</td></tr>
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<tr class="separator:a3021b0f6d08103a5d6b30ec48bd257f4"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a2743f44f4251820afaf234e17a1b8dd6"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetrain__utils.html#a2743f44f4251820afaf234e17a1b8dd6">compute_vaLoss</a> (model, dl_it, dl)</td></tr>
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<tr class="separator:a2743f44f4251820afaf234e17a1b8dd6"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a62ad8259931264e8b17ececfc96abadf"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetrain__utils.html#a62ad8259931264e8b17ececfc96abadf">train_classic</a> (model, opt_param, epochs=1, print_freq=1)</td></tr>
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<tr class="separator:a62ad8259931264e8b17ececfc96abadf"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a10789b14974c3f8232a458edd3af821b"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetrain__utils.html#a10789b14974c3f8232a458edd3af821b">run_dist_dataugV3</a> (model, opt_param, epochs=1, inner_it=1, dataug_epoch_start=0, print_freq=1, KLdiv=1, hp_opt=False, save_sample_freq=None)</td></tr>
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<tr class="separator:a10789b14974c3f8232a458edd3af821b"><td class="memSeparator" colspan="2"> </td></tr>
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</table>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><pre class="fragment">Utilities function for training.</pre> </div><h2 class="groupheader">Function Documentation</h2>
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<a id="a2743f44f4251820afaf234e17a1b8dd6"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#a2743f44f4251820afaf234e17a1b8dd6">◆ </a></span>compute_vaLoss()</h2>
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<div class="memproto">
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<td class="memname">def train_utils.compute_vaLoss </td>
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<td>(</td>
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||||
<td class="paramtype"> </td>
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||||
<td class="paramname"><em>model</em>, </td>
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</tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>dl_it</em>, </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>dl</em> </td>
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<td>)</td>
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</div><div class="memdoc">
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||||
<pre class="fragment">Evaluate a model on a batch of data.
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||||
|
||||
Args:
|
||||
model (nn.Module): Model to evaluate.
|
||||
dl_it (Iterator): Data loader iterator.
|
||||
dl (DataLoader): Data loader.
|
||||
|
||||
Returns:
|
||||
(Tensor) Loss on a single batch of data.
|
||||
</pre>
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</div>
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<a id="a10789b14974c3f8232a458edd3af821b"></a>
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<h2 class="memtitle"><span class="permalink"><a href="#a10789b14974c3f8232a458edd3af821b">◆ </a></span>run_dist_dataugV3()</h2>
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<div class="memitem">
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<td class="memname">def train_utils.run_dist_dataugV3 </td>
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<td>(</td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>model</em>, </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>opt_param</em>, </td>
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<tr>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>epochs</em> = <code>1</code>, </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>inner_it</em> = <code>1</code>, </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>dataug_epoch_start</em> = <code>0</code>, </td>
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<td></td>
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<td class="paramname"><em>print_freq</em> = <code>1</code>, </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>KLdiv</em> = <code>1</code>, </td>
|
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<td class="paramkey"></td>
|
||||
<td></td>
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<td class="paramtype"> </td>
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<td class="paramname"><em>hp_opt</em> = <code>False</code>, </td>
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<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>save_sample_freq</em> = <code>None</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
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<td></td><td></td>
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</tr>
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</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Training of an augmented model with higher.
|
||||
|
||||
This function is intended to be used with Augmented_model containing an Higher_model (see dataug.py).
|
||||
Ex : Augmented_model(Data_augV5(...), Higher_model(model))
|
||||
|
||||
Training loss can either be computed directly from augmented inputs (KLdiv=0).
|
||||
However, it is recommended to use the KLdiv loss computation, inspired from UDA, which combine original and augmented inputs to compute the loss (KLdiv>0).
|
||||
See : https://github.com/google-research/uda
|
||||
|
||||
Args:
|
||||
model (nn.Module): Augmented model to train.
|
||||
opt_param (dict): Dictionnary containing optimizers parameters.
|
||||
epochs (int): Number of epochs to perform. (default: 1)
|
||||
inner_it (int): Number of inner iteration before a meta-step. 0 inner iteration means there's no meta-step. (default: 1)
|
||||
dataug_epoch_start (int): Epoch when to start data augmentation. (default: 0)
|
||||
print_freq (int): Number of epoch between display of the state of training. If set to None, no display will be done. (default:1)
|
||||
KLdiv (float): Proportion of the KLdiv loss added to the supervised loss. If set to 0, the loss is classicly computed on augmented inputs. (default: 1)
|
||||
hp_opt (bool): Wether to learn inner optimizer parameters. (default: False)
|
||||
save_sample_freq (int): Number of epochs between saves of samples of data. If set to None, only one save would be done at the end of the training. (default: None)
|
||||
|
||||
Returns:
|
||||
(list) Logs of training. Each items is a dict containing results of an epoch.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a3021b0f6d08103a5d6b30ec48bd257f4"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a3021b0f6d08103a5d6b30ec48bd257f4">◆ </a></span>test()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def train_utils.test </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>model</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Evaluate a model on test data.
|
||||
|
||||
Args:
|
||||
model (nn.Module): Model to test.
|
||||
|
||||
Returns:
|
||||
(float, Tensor) Returns the accuracy and test loss of the model.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a62ad8259931264e8b17ececfc96abadf"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a62ad8259931264e8b17ececfc96abadf">◆ </a></span>train_classic()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def train_utils.train_classic </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>model</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>opt_param</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>epochs</em> = <code>1</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>print_freq</em> = <code>1</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Classic training of a model.
|
||||
|
||||
Args:
|
||||
model (nn.Module): Model to train.
|
||||
opt_param (dict): Dictionnary containing optimizers parameters.
|
||||
epochs (int): Number of epochs to perform. (default: 1)
|
||||
print_freq (int): Number of epoch between display of the state of training. If set to None, no display will be done. (default:1)
|
||||
|
||||
Returns:
|
||||
(list) Logs of training. Each items is a dict containing results of an epoch.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
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862
higher/doc/html/namespacetransformations.html
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<a href="#func-members">Functions</a> |
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<a href="#var-members">Variables</a> </div>
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<div class="headertitle">
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<div class="title">transformations Namespace Reference</div> </div>
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<div class="contents">
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<table class="memberdecls">
|
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
|
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Functions</h2></td></tr>
|
||||
<tr class="memitem:add0ba9b9fec4d378887b341e61b7c2fb"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#add0ba9b9fec4d378887b341e61b7c2fb">int_image</a> (<a class="el" href="namespacetransformations.html#aa0e40dced4103d3ff9d319d23b975e54">float_image</a>)</td></tr>
|
||||
<tr class="memdesc:add0ba9b9fec4d378887b341e61b7c2fb"><td class="mdescLeft"> </td><td class="mdescRight">Image type cast ##. <a href="#add0ba9b9fec4d378887b341e61b7c2fb">More...</a><br /></td></tr>
|
||||
<tr class="separator:add0ba9b9fec4d378887b341e61b7c2fb"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aa0e40dced4103d3ff9d319d23b975e54"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#aa0e40dced4103d3ff9d319d23b975e54">float_image</a> (<a class="el" href="namespacetransformations.html#add0ba9b9fec4d378887b341e61b7c2fb">int_image</a>)</td></tr>
|
||||
<tr class="separator:aa0e40dced4103d3ff9d319d23b975e54"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:acc25897f51cd3d3df0ed6e29e563046c"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#acc25897f51cd3d3df0ed6e29e563046c">rand_floats</a> (size, mag, maxval, minval=None)</td></tr>
|
||||
<tr class="memdesc:acc25897f51cd3d3df0ed6e29e563046c"><td class="mdescLeft"> </td><td class="mdescRight">Parameters utils ##. <a href="#acc25897f51cd3d3df0ed6e29e563046c">More...</a><br /></td></tr>
|
||||
<tr class="separator:acc25897f51cd3d3df0ed6e29e563046c"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ac49802d45ee247e10c3adfcc7cb86cbf"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#ac49802d45ee247e10c3adfcc7cb86cbf">invScale_rand_floats</a> (size, mag, maxval, minval)</td></tr>
|
||||
<tr class="separator:ac49802d45ee247e10c3adfcc7cb86cbf"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a380988bd0d3afb343b8b63fe52703180"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a380988bd0d3afb343b8b63fe52703180">zero_stack</a> (tensor, zero_pos)</td></tr>
|
||||
<tr class="separator:a380988bd0d3afb343b8b63fe52703180"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ac908826415e01ded574dccdd9373e868"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#ac908826415e01ded574dccdd9373e868">float_parameter</a> (level, maxval)</td></tr>
|
||||
<tr class="separator:ac908826415e01ded574dccdd9373e868"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a3b82d4e0c1638f26db9227dd391548d8"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a3b82d4e0c1638f26db9227dd391548d8">flipLR</a> (x)</td></tr>
|
||||
<tr class="memdesc:a3b82d4e0c1638f26db9227dd391548d8"><td class="mdescLeft"> </td><td class="mdescRight">Tranformations ##. <a href="#a3b82d4e0c1638f26db9227dd391548d8">More...</a><br /></td></tr>
|
||||
<tr class="separator:a3b82d4e0c1638f26db9227dd391548d8"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:afaf4841f6fad18e431c5bb1eca51390a"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#afaf4841f6fad18e431c5bb1eca51390a">flipUD</a> (x)</td></tr>
|
||||
<tr class="separator:afaf4841f6fad18e431c5bb1eca51390a"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a013eae7739ef034ed3d07bde95a76084"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a013eae7739ef034ed3d07bde95a76084">rotate</a> (x, angle)</td></tr>
|
||||
<tr class="separator:a013eae7739ef034ed3d07bde95a76084"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a6aeaef035ff9c1c0977e7ef49b7de735"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a6aeaef035ff9c1c0977e7ef49b7de735">translate</a> (x, translation)</td></tr>
|
||||
<tr class="separator:a6aeaef035ff9c1c0977e7ef49b7de735"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a9afae86f07c95502ab6aa79374f9418e"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a9afae86f07c95502ab6aa79374f9418e">shear</a> (x, shear)</td></tr>
|
||||
<tr class="separator:a9afae86f07c95502ab6aa79374f9418e"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a68fca7bf43a6ba94baad9d7145ee6093"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a68fca7bf43a6ba94baad9d7145ee6093">contrast</a> (x, contrast_factor)</td></tr>
|
||||
<tr class="separator:a68fca7bf43a6ba94baad9d7145ee6093"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:acb86ae3a568a9f88afe87cebe10af747"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#acb86ae3a568a9f88afe87cebe10af747">color</a> (x, color_factor)</td></tr>
|
||||
<tr class="separator:acb86ae3a568a9f88afe87cebe10af747"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a3612ce0d406daaf2506f204079497e41"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a3612ce0d406daaf2506f204079497e41">brightness</a> (x, brightness_factor)</td></tr>
|
||||
<tr class="separator:a3612ce0d406daaf2506f204079497e41"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a10a9e3221a2c76824d7d7f305b2aa9aa"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a10a9e3221a2c76824d7d7f305b2aa9aa">sharpeness</a> (x, sharpness_factor)</td></tr>
|
||||
<tr class="separator:a10a9e3221a2c76824d7d7f305b2aa9aa"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ab666bac350d962bc28e91ac91a04921b"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#ab666bac350d962bc28e91ac91a04921b">posterize</a> (x, bits)</td></tr>
|
||||
<tr class="separator:ab666bac350d962bc28e91ac91a04921b"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a0a93f2875e5a3d32f64581666ad03774"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a0a93f2875e5a3d32f64581666ad03774">solarize</a> (x, thresholds)</td></tr>
|
||||
<tr class="separator:a0a93f2875e5a3d32f64581666ad03774"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aef656b4360dd8029508a01df751ccbf5"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#aef656b4360dd8029508a01df751ccbf5">blend</a> (x, y, alpha)</td></tr>
|
||||
<tr class="separator:aef656b4360dd8029508a01df751ccbf5"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a439d5faa6aecf40097061f38d172da7a"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#a439d5faa6aecf40097061f38d172da7a">auto_contrast</a> (x)</td></tr>
|
||||
<tr class="separator:a439d5faa6aecf40097061f38d172da7a"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aa0b8ad06be9731533adce977214e044c"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetransformations.html#aa0b8ad06be9731533adce977214e044c">equalize</a> (x)</td></tr>
|
||||
<tr class="separator:aa0b8ad06be9731533adce977214e044c"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
</table><table class="memberdecls">
|
||||
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a>
|
||||
Variables</h2></td></tr>
|
||||
<tr class="memitem:a02f3400e169a6dfbdc63dc6d8907f525"><td class="memItemLeft" align="right" valign="top"><a id="a02f3400e169a6dfbdc63dc6d8907f525"></a>
|
||||
dictionary </td><td class="memItemRight" valign="bottom"><b>TF_no_mag</b> = {'Identity', 'FlipUD', 'FlipLR', 'Random', 'RandBlend'}</td></tr>
|
||||
<tr class="separator:a02f3400e169a6dfbdc63dc6d8907f525"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a9e58090c28b0b0e9adddaaf8dd7ae4a5"><td class="memItemLeft" align="right" valign="top"><a id="a9e58090c28b0b0e9adddaaf8dd7ae4a5"></a>
|
||||
dictionary </td><td class="memItemRight" valign="bottom"><b>TF_no_grad</b> = {'Solarize', 'Posterize', '=Solarize', '=Posterize'}</td></tr>
|
||||
<tr class="separator:a9e58090c28b0b0e9adddaaf8dd7ae4a5"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:af95bb9f754eba835acc504184ffbd5bd"><td class="memItemLeft" align="right" valign="top"><a id="af95bb9f754eba835acc504184ffbd5bd"></a>
|
||||
dictionary </td><td class="memItemRight" valign="bottom"><b>TF_ignore_mag</b> = TF_no_mag | TF_no_grad</td></tr>
|
||||
<tr class="separator:af95bb9f754eba835acc504184ffbd5bd"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a4f338dd8fd9c0cbcdbd0072ed3b2a519"><td class="memItemLeft" align="right" valign="top"><a id="a4f338dd8fd9c0cbcdbd0072ed3b2a519"></a>
|
||||
int </td><td class="memItemRight" valign="bottom"><b>PARAMETER_MAX</b> = 1</td></tr>
|
||||
<tr class="separator:a4f338dd8fd9c0cbcdbd0072ed3b2a519"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:af0e977475e691db60c155db65e8cd88b"><td class="memItemLeft" align="right" valign="top"><a id="af0e977475e691db60c155db65e8cd88b"></a>
|
||||
float </td><td class="memItemRight" valign="bottom"><b>PARAMETER_MIN</b> = 0.1</td></tr>
|
||||
<tr class="separator:af0e977475e691db60c155db65e8cd88b"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a550637c287bd6ab6df055f26b16daba1"><td class="memItemLeft" align="right" valign="top"><a id="a550637c287bd6ab6df055f26b16daba1"></a>
|
||||
dictionary </td><td class="memItemRight" valign="bottom"><b>TF_dict</b></td></tr>
|
||||
<tr class="separator:a550637c287bd6ab6df055f26b16daba1"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
</table>
|
||||
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><pre class="fragment">PyTorch implementation of some PIL image transformations.
|
||||
|
||||
Those implementation are thinked to take advantages of batched computation of PyTorch on GPU.
|
||||
|
||||
Based on Kornia library.
|
||||
See: https://github.com/kornia/kornia
|
||||
|
||||
And PIL.
|
||||
See:
|
||||
https://github.com/python-pillow/Pillow/blob/master/src/PIL/ImageOps.py
|
||||
https://github.com/python-pillow/Pillow/blob/9c78c3f97291bd681bc8637922d6a2fa9415916c/src/PIL/Image.py#L2818
|
||||
|
||||
Inspired from AutoAugment.
|
||||
See: https://github.com/tensorflow/models/blob/fc2056bce6ab17eabdc139061fef8f4f2ee763ec/research/autoaugment/augmentation_transforms.py
|
||||
</pre> </div><h2 class="groupheader">Function Documentation</h2>
|
||||
<a id="a439d5faa6aecf40097061f38d172da7a"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a439d5faa6aecf40097061f38d172da7a">◆ </a></span>auto_contrast()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.auto_contrast </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">NOT TESTED - EXTRA SLOW</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="aef656b4360dd8029508a01df751ccbf5"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#aef656b4360dd8029508a01df751ccbf5">◆ </a></span>blend()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.blend </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>y</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>alpha</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Creates a new images by interpolating between two input images, using a constant alpha.
|
||||
|
||||
x and y should have the same size.
|
||||
alpha should have the same batch size as the images.
|
||||
|
||||
Apply batch wise :
|
||||
out = image1 * (1.0 - alpha) + image2 * alpha
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
y (Tensor): Batch of images.
|
||||
alpha (Tensor): The interpolation alpha factor for each images.
|
||||
Returns:
|
||||
(Tensor): Batch of solarized images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a3612ce0d406daaf2506f204079497e41"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a3612ce0d406daaf2506f204079497e41">◆ </a></span>brightness()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.brightness </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>brightness_factor</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Adjust brightness of images.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
brightness_factor (Tensor): Brightness factor for each images.
|
||||
0.0 gives a black image. A factor of 1.0 gives the original image.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of adjusted images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="acb86ae3a568a9f88afe87cebe10af747"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#acb86ae3a568a9f88afe87cebe10af747">◆ </a></span>color()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.color </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>color_factor</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Adjust color of images.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
color_factor (Tensor): Color factor for each images.
|
||||
0.0 gives a black and white image. A factor of 1.0 gives the original image.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of adjusted images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a68fca7bf43a6ba94baad9d7145ee6093"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a68fca7bf43a6ba94baad9d7145ee6093">◆ </a></span>contrast()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.contrast </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>contrast_factor</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Adjust contast of images.
|
||||
|
||||
Args:
|
||||
x (FloatTensor): Batch of images.
|
||||
contrast_factor (FloatTensor): Contrast adjust factor per element in the batch.
|
||||
0 generates a compleatly black image, 1 does not modify the input image while any other non-negative number modify the brightness by this factor.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of adjusted images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="aa0b8ad06be9731533adce977214e044c"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#aa0b8ad06be9731533adce977214e044c">◆ </a></span>equalize()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.equalize </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">NOT WORKING</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a3b82d4e0c1638f26db9227dd391548d8"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a3b82d4e0c1638f26db9227dd391548d8">◆ </a></span>flipLR()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.flipLR </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Tranformations ##. </p>
|
||||
<pre class="fragment">Flip horizontaly/Left-Right images.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of fliped images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="afaf4841f6fad18e431c5bb1eca51390a"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#afaf4841f6fad18e431c5bb1eca51390a">◆ </a></span>flipUD()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.flipUD </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Flip vertically/Up-Down images.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of fliped images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="aa0e40dced4103d3ff9d319d23b975e54"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#aa0e40dced4103d3ff9d319d23b975e54">◆ </a></span>float_image()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.float_image </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>int_image</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Convert a int Tensor/Image to an float Tensor/Image.
|
||||
|
||||
Args:
|
||||
int_image (ByteTensor): Image tensor.
|
||||
|
||||
Returns:
|
||||
(FloatTensor) Converted tensor.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="ac908826415e01ded574dccdd9373e868"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ac908826415e01ded574dccdd9373e868">◆ </a></span>float_parameter()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.float_parameter </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>level</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>maxval</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Scale level between 0 and maxval.
|
||||
|
||||
Args:
|
||||
level (float): Level of the operation that will be between [PARAMETER_MIN, PARAMETER_MAX].
|
||||
maxval: Maximum value that the operation can have. This will be scaled to level/PARAMETER_MAX.
|
||||
Returns:
|
||||
A float that results from scaling `maxval` according to `level`.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="add0ba9b9fec4d378887b341e61b7c2fb"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#add0ba9b9fec4d378887b341e61b7c2fb">◆ </a></span>int_image()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.int_image </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>float_image</em></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Image type cast ##. </p>
|
||||
<pre class="fragment">Convert a float Tensor/Image to an int Tensor/Image.
|
||||
|
||||
Be warry that this transformation isn't bijective, each conversion will result in small loss of information.
|
||||
Granularity: 1/256 = 0.0039.
|
||||
|
||||
This will also result in the loss of the gradient associated to input as gradient cannot be tracked on int Tensor.
|
||||
|
||||
Args:
|
||||
float_image (FloatTensor): Image tensor.
|
||||
|
||||
Returns:
|
||||
(ByteTensor) Converted tensor.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="ac49802d45ee247e10c3adfcc7cb86cbf"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ac49802d45ee247e10c3adfcc7cb86cbf">◆ </a></span>invScale_rand_floats()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.invScale_rand_floats </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>size</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>mag</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>maxval</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>minval</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Generate a batch of random values.
|
||||
|
||||
Similar to rand_floats() except that the mag is used in an inversed scale.
|
||||
|
||||
Mag:[0,PARAMETER_MAX] => [PARAMETER_MAX, 0]
|
||||
|
||||
Args:
|
||||
size (int): Number of value to generate.
|
||||
mag (float): Level of the operation that will be between [PARAMETER_MIN, PARAMETER_MAX].
|
||||
maxval (float): Maximum value that can be generated. This will be scaled to mag/PARAMETER_MAX.
|
||||
minval (float): Minimum value that can be generated. (default: -maxval)
|
||||
|
||||
Returns:
|
||||
(Tensor) Generated batch of float values between [minval, maxval].
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="ab666bac350d962bc28e91ac91a04921b"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ab666bac350d962bc28e91ac91a04921b">◆ </a></span>posterize()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.posterize </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>bits</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Reduce the number of bits for each color channel.
|
||||
|
||||
Be warry that the cast to integers block the gradient propagation.
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
bits (Tensor): The number of bits to keep for each channel (1-8).
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of posterized images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="acc25897f51cd3d3df0ed6e29e563046c"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#acc25897f51cd3d3df0ed6e29e563046c">◆ </a></span>rand_floats()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.rand_floats </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>size</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>mag</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>maxval</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>minval</em> = <code>None</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
|
||||
<p>Parameters utils ##. </p>
|
||||
<pre class="fragment">Generate a batch of random values.
|
||||
|
||||
Args:
|
||||
size (int): Number of value to generate.
|
||||
mag (float): Level of the operation that will be between [PARAMETER_MIN, PARAMETER_MAX].
|
||||
maxval (float): Maximum value that can be generated. This will be scaled to mag/PARAMETER_MAX.
|
||||
minval (float): Minimum value that can be generated. (default: -maxval)
|
||||
|
||||
Returns:
|
||||
(Tensor) Generated batch of float values between [minval, maxval].
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a013eae7739ef034ed3d07bde95a76084"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a013eae7739ef034ed3d07bde95a76084">◆ </a></span>rotate()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.rotate </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>angle</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Rotate images.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
angle (Tensor): Angles (degrees) of rotation for each images.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of rotated images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a10a9e3221a2c76824d7d7f305b2aa9aa"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a10a9e3221a2c76824d7d7f305b2aa9aa">◆ </a></span>sharpeness()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.sharpeness </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>sharpness_factor</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Adjust sharpness of images.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
sharpness_factor (Tensor): Sharpness factor for each images.
|
||||
0.0 gives a black image. A factor of 1.0 gives the original image.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of adjusted images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a9afae86f07c95502ab6aa79374f9418e"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a9afae86f07c95502ab6aa79374f9418e">◆ </a></span>shear()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.shear </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>shear</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Shear images.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
shear (Tensor): Angle of shear for each images.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of skewed images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a0a93f2875e5a3d32f64581666ad03774"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a0a93f2875e5a3d32f64581666ad03774">◆ </a></span>solarize()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.solarize </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>thresholds</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Invert all pixel values above a threshold.
|
||||
|
||||
Be warry that the use of the inequality (x>tresholds) block the gradient propagation.
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
thresholds (Tensor): All pixels above this level are inverted
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of solarized images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a6aeaef035ff9c1c0977e7ef49b7de735"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a6aeaef035ff9c1c0977e7ef49b7de735">◆ </a></span>translate()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.translate </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>x</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>translation</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Translate images.
|
||||
|
||||
Args:
|
||||
x (Tensor): Batch of images.
|
||||
translation (Tensor): Distance (pixels) of translation for each images.
|
||||
|
||||
Returns:
|
||||
(Tensor): Batch of translated images.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a380988bd0d3afb343b8b63fe52703180"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a380988bd0d3afb343b8b63fe52703180">◆ </a></span>zero_stack()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def transformations.zero_stack </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>tensor</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>zero_pos</em> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Add a row of zeros to a Tensor.
|
||||
|
||||
This function is intended to be used with single row Tensor, thus returning a 2 dimension Tensor.
|
||||
|
||||
Args:
|
||||
tensor (Tensor): Tensor to be stacked with zeros.
|
||||
zero_pos (int): Wheter the zeros should be added before or after the Tensor. Either 0 or 1.
|
||||
|
||||
Returns:
|
||||
Stacked Tensor.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
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||||
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316
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<a href="#func-members">Functions</a> </div>
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<div class="title">utils Namespace Reference</div> </div>
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Functions</h2></td></tr>
|
||||
<tr class="memitem:aaf9c453130b45dce2d49276ec2a8b016"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceutils.html#aaf9c453130b45dce2d49276ec2a8b016">print_graph</a> (PyTorch_obj, fig_name='graph')</td></tr>
|
||||
<tr class="separator:aaf9c453130b45dce2d49276ec2a8b016"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a669b01f2e6565bb22c2d6e14de4a0406"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceutils.html#a669b01f2e6565bb22c2d6e14de4a0406">plot_resV2</a> (log, fig_name='res', param_names=None)</td></tr>
|
||||
<tr class="separator:a669b01f2e6565bb22c2d6e14de4a0406"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a88479ed8126ca655160ac16d90262d54"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceutils.html#a88479ed8126ca655160ac16d90262d54">plot_compare</a> (filenames, fig_name='res')</td></tr>
|
||||
<tr class="separator:a88479ed8126ca655160ac16d90262d54"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:ac48855b80376b93d7ce0c38104be7a3f"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceutils.html#ac48855b80376b93d7ce0c38104be7a3f">viz_sample_data</a> (imgs, labels, fig_name='data_sample', weight_labels=None)</td></tr>
|
||||
<tr class="separator:ac48855b80376b93d7ce0c38104be7a3f"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:a715e732754b790c8fb72f6e73e2e7a2e"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceutils.html#a715e732754b790c8fb72f6e73e2e7a2e">print_torch_mem</a> (add_info='')</td></tr>
|
||||
<tr class="separator:a715e732754b790c8fb72f6e73e2e7a2e"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
<tr class="memitem:aeb66bb0a666aba819993b695608ae02b"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceutils.html#aeb66bb0a666aba819993b695608ae02b">clip_norm</a> (tensors, max_norm, norm_type=2)</td></tr>
|
||||
<tr class="separator:aeb66bb0a666aba819993b695608ae02b"><td class="memSeparator" colspan="2"> </td></tr>
|
||||
</table>
|
||||
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
|
||||
<div class="textblock"><pre class="fragment">Utilties function.</pre> </div><h2 class="groupheader">Function Documentation</h2>
|
||||
<a id="aeb66bb0a666aba819993b695608ae02b"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#aeb66bb0a666aba819993b695608ae02b">◆ </a></span>clip_norm()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def utils.clip_norm </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>tensors</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>max_norm</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>norm_type</em> = <code>2</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Clips norm of passed tensors.
|
||||
The norm is computed over all tensors together, as if they were
|
||||
concatenated into a single vector. Clipped tensors are returned.
|
||||
|
||||
See: https://github.com/facebookresearch/higher/issues/18
|
||||
|
||||
Args:
|
||||
tensors (Iterable[Tensor]): an iterable of Tensors or a
|
||||
single Tensor to be normalized.
|
||||
max_norm (float or int): max norm of the gradients
|
||||
norm_type (float or int): type of the used p-norm. Can be ``'inf'`` for
|
||||
infinity norm.
|
||||
Returns:
|
||||
Clipped (List[Tensor]) tensors.
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a88479ed8126ca655160ac16d90262d54"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a88479ed8126ca655160ac16d90262d54">◆ </a></span>plot_compare()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def utils.plot_compare </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>filenames</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>fig_name</em> = <code>'res'</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Save a visual graph comparing trainings stats.
|
||||
|
||||
Args:
|
||||
filenames (list[Strings]): Relative paths to the logs (JSON files).
|
||||
fig_name (string): Relative path where to save the graph. (default: res)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a669b01f2e6565bb22c2d6e14de4a0406"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a669b01f2e6565bb22c2d6e14de4a0406">◆ </a></span>plot_resV2()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def utils.plot_resV2 </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>log</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>fig_name</em> = <code>'res'</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>param_names</em> = <code>None</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Save a visual graph of the logs.
|
||||
|
||||
Args:
|
||||
log (dict): Logs of the training generated by most of train_utils.
|
||||
fig_name (string): Relative path where to save the graph. (default: res)
|
||||
param_names (list): Labels for the parameters. (default: None)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="aaf9c453130b45dce2d49276ec2a8b016"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#aaf9c453130b45dce2d49276ec2a8b016">◆ </a></span>print_graph()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def utils.print_graph </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>PyTorch_obj</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>fig_name</em> = <code>'graph'</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Save the computational graph.
|
||||
|
||||
Args:
|
||||
PyTorch_obj (Tensor): End of the graph. Commonly, the loss tensor to get the whole graph.
|
||||
fig_name (string): Relative path where to save the graph. (default: graph)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="a715e732754b790c8fb72f6e73e2e7a2e"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#a715e732754b790c8fb72f6e73e2e7a2e">◆ </a></span>print_torch_mem()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def utils.print_torch_mem </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>add_info</em> = <code>''</code></td><td>)</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Print informations on PyTorch memory usage.
|
||||
|
||||
Args:
|
||||
add_info (string): Prefix added before the print. (default: None)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
<a id="ac48855b80376b93d7ce0c38104be7a3f"></a>
|
||||
<h2 class="memtitle"><span class="permalink"><a href="#ac48855b80376b93d7ce0c38104be7a3f">◆ </a></span>viz_sample_data()</h2>
|
||||
|
||||
<div class="memitem">
|
||||
<div class="memproto">
|
||||
<table class="memname">
|
||||
<tr>
|
||||
<td class="memname">def utils.viz_sample_data </td>
|
||||
<td>(</td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>imgs</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>labels</em>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>fig_name</em> = <code>'data_sample'</code>, </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="paramkey"></td>
|
||||
<td></td>
|
||||
<td class="paramtype"> </td>
|
||||
<td class="paramname"><em>weight_labels</em> = <code>None</code> </td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>)</td>
|
||||
<td></td><td></td>
|
||||
</tr>
|
||||
</table>
|
||||
</div><div class="memdoc">
|
||||
<pre class="fragment">Save data samples.
|
||||
|
||||
Args:
|
||||
imgs (Tensor): Batch of image to sample from. Intended to contain at least 25 images.
|
||||
labels (Tensor): Labels of the images.
|
||||
fig_name (string): Relative path where to save the graph. (default: data_sample)
|
||||
weight_labels (Tensor): Weights associated to each labels. (default: None)
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
</div><!-- contents -->
|
||||
<!-- start footer part -->
|
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<hr class="footer"/><address class="footer"><small>
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Generated by  <a href="http://www.doxygen.org/index.html">
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<img class="footer" src="doxygen.png" alt="doxygen"/>
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</a> 1.8.13
|
||||
</small></address>
|
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</body>
|
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</html>
|
||||
26
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higher/doc/html/search/all_2.html
Normal file
|
|
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|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
||||
<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<link rel="stylesheet" type="text/css" href="search.css"/>
|
||||
<script type="text/javascript" src="all_2.js"></script>
|
||||
<script type="text/javascript" src="search.js"></script>
|
||||
</head>
|
||||
<body class="SRPage">
|
||||
<div id="SRIndex">
|
||||
<div class="SRStatus" id="Loading">Loading...</div>
|
||||
<div id="SRResults"></div>
|
||||
<script type="text/javascript"><!--
|
||||
createResults();
|
||||
--></script>
|
||||
<div class="SRStatus" id="Searching">Searching...</div>
|
||||
<div class="SRStatus" id="NoMatches">No Matches</div>
|
||||
<script type="text/javascript"><!--
|
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document.getElementById("Loading").style.display="none";
|
||||
document.getElementById("NoMatches").style.display="none";
|
||||
var searchResults = new SearchResults("searchResults");
|
||||
searchResults.Search();
|
||||
--></script>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
5
higher/doc/html/search/all_2.js
Normal file
5
higher/doc/html/search/all_2.js
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
var searchData=
|
||||
[
|
||||
['blend',['blend',['../namespacetransformations.html#aef656b4360dd8029508a01df751ccbf5',1,'transformations']]],
|
||||
['brightness',['brightness',['../namespacetransformations.html#a3612ce0d406daaf2506f204079497e41',1,'transformations']]]
|
||||
];
|
||||
26
higher/doc/html/search/all_3.html
Normal file
26
higher/doc/html/search/all_3.html
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
||||
<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<link rel="stylesheet" type="text/css" href="search.css"/>
|
||||
<script type="text/javascript" src="all_3.js"></script>
|
||||
<script type="text/javascript" src="search.js"></script>
|
||||
</head>
|
||||
<body class="SRPage">
|
||||
<div id="SRIndex">
|
||||
<div class="SRStatus" id="Loading">Loading...</div>
|
||||
<div id="SRResults"></div>
|
||||
<script type="text/javascript"><!--
|
||||
createResults();
|
||||
--></script>
|
||||
<div class="SRStatus" id="Searching">Searching...</div>
|
||||
<div class="SRStatus" id="NoMatches">No Matches</div>
|
||||
<script type="text/javascript"><!--
|
||||
document.getElementById("Loading").style.display="none";
|
||||
document.getElementById("NoMatches").style.display="none";
|
||||
var searchResults = new SearchResults("searchResults");
|
||||
searchResults.Search();
|
||||
--></script>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
7
higher/doc/html/search/all_3.js
Normal file
7
higher/doc/html/search/all_3.js
Normal file
|
|
@ -0,0 +1,7 @@
|
|||
var searchData=
|
||||
[
|
||||
['clip_5fnorm',['clip_norm',['../namespaceutils.html#aeb66bb0a666aba819993b695608ae02b',1,'utils']]],
|
||||
['color',['color',['../namespacetransformations.html#acb86ae3a568a9f88afe87cebe10af747',1,'transformations']]],
|
||||
['compute_5fvaloss',['compute_vaLoss',['../namespacetrain__utils.html#a2743f44f4251820afaf234e17a1b8dd6',1,'train_utils']]],
|
||||
['contrast',['contrast',['../namespacetransformations.html#a68fca7bf43a6ba94baad9d7145ee6093',1,'transformations']]]
|
||||
];
|
||||
26
higher/doc/html/search/all_4.html
Normal file
26
higher/doc/html/search/all_4.html
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
||||
<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<link rel="stylesheet" type="text/css" href="search.css"/>
|
||||
<script type="text/javascript" src="all_4.js"></script>
|
||||
<script type="text/javascript" src="search.js"></script>
|
||||
</head>
|
||||
<body class="SRPage">
|
||||
<div id="SRIndex">
|
||||
<div class="SRStatus" id="Loading">Loading...</div>
|
||||
<div id="SRResults"></div>
|
||||
<script type="text/javascript"><!--
|
||||
createResults();
|
||||
--></script>
|
||||
<div class="SRStatus" id="Searching">Searching...</div>
|
||||
<div class="SRStatus" id="NoMatches">No Matches</div>
|
||||
<script type="text/javascript"><!--
|
||||
document.getElementById("Loading").style.display="none";
|
||||
document.getElementById("NoMatches").style.display="none";
|
||||
var searchResults = new SearchResults("searchResults");
|
||||
searchResults.Search();
|
||||
--></script>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
9
higher/doc/html/search/all_4.js
Normal file
9
higher/doc/html/search/all_4.js
Normal file
|
|
@ -0,0 +1,9 @@
|
|||
var searchData=
|
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[
|
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['data_5faugv5',['Data_augV5',['../classdataug_1_1Data__augV5.html',1,'dataug']]],
|
||||
['data_5faugv7',['Data_augV7',['../classdataug_1_1Data__augV7.html',1,'dataug']]],
|
||||
['data_5ftrain',['data_train',['../namespacedatasets.html#a49e9e609d45f8da572fc0df8ce1680b7',1,'datasets']]],
|
||||
['datasets',['datasets',['../namespacedatasets.html',1,'']]],
|
||||
['dataug',['dataug',['../namespacedataug.html',1,'']]],
|
||||
['detach_5f',['detach_',['../classdataug_1_1Higher__model.html#a1bd8bee3d758a2a0f54eb37ddea857c8',1,'dataug::Higher_model']]]
|
||||
];
|
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26
higher/doc/html/search/all_5.html
Normal file
26
higher/doc/html/search/all_5.html
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
||||
<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<link rel="stylesheet" type="text/css" href="search.css"/>
|
||||
<script type="text/javascript" src="all_5.js"></script>
|
||||
<script type="text/javascript" src="search.js"></script>
|
||||
</head>
|
||||
<body class="SRPage">
|
||||
<div id="SRIndex">
|
||||
<div class="SRStatus" id="Loading">Loading...</div>
|
||||
<div id="SRResults"></div>
|
||||
<script type="text/javascript"><!--
|
||||
createResults();
|
||||
--></script>
|
||||
<div class="SRStatus" id="Searching">Searching...</div>
|
||||
<div class="SRStatus" id="NoMatches">No Matches</div>
|
||||
<script type="text/javascript"><!--
|
||||
document.getElementById("Loading").style.display="none";
|
||||
document.getElementById("NoMatches").style.display="none";
|
||||
var searchResults = new SearchResults("searchResults");
|
||||
searchResults.Search();
|
||||
--></script>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
5
higher/doc/html/search/all_5.js
Normal file
5
higher/doc/html/search/all_5.js
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
var searchData=
|
||||
[
|
||||
['equalize',['equalize',['../namespacetransformations.html#aa0b8ad06be9731533adce977214e044c',1,'transformations']]],
|
||||
['eval',['eval',['../classdataug_1_1Augmented__model.html#aff7c48066b6c81cccfdab4bc68b696eb',1,'dataug.Augmented_model.eval()'],['../namespacedataug.html#a24108b035b3036f30165d37c57c25045',1,'dataug.eval()']]]
|
||||
];
|
||||
26
higher/doc/html/search/all_6.html
Normal file
26
higher/doc/html/search/all_6.html
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
||||
<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<link rel="stylesheet" type="text/css" href="search.css"/>
|
||||
<script type="text/javascript" src="all_6.js"></script>
|
||||
<script type="text/javascript" src="search.js"></script>
|
||||
</head>
|
||||
<body class="SRPage">
|
||||
<div id="SRIndex">
|
||||
<div class="SRStatus" id="Loading">Loading...</div>
|
||||
<div id="SRResults"></div>
|
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<script type="text/javascript"><!--
|
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createResults();
|
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--></script>
|
||||
<div class="SRStatus" id="Searching">Searching...</div>
|
||||
<div class="SRStatus" id="NoMatches">No Matches</div>
|
||||
<script type="text/javascript"><!--
|
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document.getElementById("Loading").style.display="none";
|
||||
document.getElementById("NoMatches").style.display="none";
|
||||
var searchResults = new SearchResults("searchResults");
|
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searchResults.Search();
|
||||
--></script>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
8
higher/doc/html/search/all_6.js
Normal file
8
higher/doc/html/search/all_6.js
Normal file
|
|
@ -0,0 +1,8 @@
|
|||
var searchData=
|
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[
|
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['fliplr',['flipLR',['../namespacetransformations.html#a3b82d4e0c1638f26db9227dd391548d8',1,'transformations']]],
|
||||
['flipud',['flipUD',['../namespacetransformations.html#afaf4841f6fad18e431c5bb1eca51390a',1,'transformations']]],
|
||||
['float_5fimage',['float_image',['../namespacetransformations.html#aa0e40dced4103d3ff9d319d23b975e54',1,'transformations']]],
|
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['float_5fparameter',['float_parameter',['../namespacetransformations.html#ac908826415e01ded574dccdd9373e868',1,'transformations']]],
|
||||
['forward',['forward',['../classdataug_1_1Higher__model.html#ad0d2caf5b673e5ea7179eb7e5603903c',1,'dataug.Higher_model.forward()'],['../classdataug_1_1Augmented__model.html#ad49e8b4696636766d9f7a31aeb497182',1,'dataug.Augmented_model.forward()'],['../classmodel_1_1LeNet.html#a24f7f74722e95e8888513fe19f35f2bb',1,'model.LeNet.forward()'],['../namespacedataug.html#a5c200dee1df65ee57ff3cfe046367439',1,'dataug.forward()']]]
|
||||
];
|
||||
26
higher/doc/html/search/all_7.html
Normal file
26
higher/doc/html/search/all_7.html
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
||||
<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<link rel="stylesheet" type="text/css" href="search.css"/>
|
||||
<script type="text/javascript" src="all_7.js"></script>
|
||||
<script type="text/javascript" src="search.js"></script>
|
||||
</head>
|
||||
<body class="SRPage">
|
||||
<div id="SRIndex">
|
||||
<div class="SRStatus" id="Loading">Loading...</div>
|
||||
<div id="SRResults"></div>
|
||||
<script type="text/javascript"><!--
|
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createResults();
|
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--></script>
|
||||
<div class="SRStatus" id="Searching">Searching...</div>
|
||||
<div class="SRStatus" id="NoMatches">No Matches</div>
|
||||
<script type="text/javascript"><!--
|
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document.getElementById("Loading").style.display="none";
|
||||
document.getElementById("NoMatches").style.display="none";
|
||||
var searchResults = new SearchResults("searchResults");
|
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searchResults.Search();
|
||||
--></script>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
4
higher/doc/html/search/all_7.js
Normal file
4
higher/doc/html/search/all_7.js
Normal file
|
|
@ -0,0 +1,4 @@
|
|||
var searchData=
|
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[
|
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['get_5fdiffopt',['get_diffopt',['../classdataug_1_1Higher__model.html#ab6a29e0bff528d896c17925793b1cbbb',1,'dataug::Higher_model']]]
|
||||
];
|
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26
higher/doc/html/search/all_8.html
Normal file
26
higher/doc/html/search/all_8.html
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
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<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
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<meta name="generator" content="Doxygen 1.8.13"/>
|
||||
<link rel="stylesheet" type="text/css" href="search.css"/>
|
||||
<script type="text/javascript" src="all_8.js"></script>
|
||||
<script type="text/javascript" src="search.js"></script>
|
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</head>
|
||||
<body class="SRPage">
|
||||
<div id="SRIndex">
|
||||
<div class="SRStatus" id="Loading">Loading...</div>
|
||||
<div id="SRResults"></div>
|
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<script type="text/javascript"><!--
|
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createResults();
|
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--></script>
|
||||
<div class="SRStatus" id="Searching">Searching...</div>
|
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<div class="SRStatus" id="NoMatches">No Matches</div>
|
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<script type="text/javascript"><!--
|
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document.getElementById("Loading").style.display="none";
|
||||
document.getElementById("NoMatches").style.display="none";
|
||||
var searchResults = new SearchResults("searchResults");
|
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searchResults.Search();
|
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--></script>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
4
higher/doc/html/search/all_8.js
Normal file
4
higher/doc/html/search/all_8.js
Normal file
|
|
@ -0,0 +1,4 @@
|
|||
var searchData=
|
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[
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['higher_5fmodel',['Higher_model',['../classdataug_1_1Higher__model.html',1,'dataug']]]
|
||||
];
|
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26
higher/doc/html/search/all_9.html
Normal file
26
higher/doc/html/search/all_9.html
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
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<html><head><title></title>
|
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<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
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<meta name="generator" content="Doxygen 1.8.13"/>
|
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<link rel="stylesheet" type="text/css" href="search.css"/>
|
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<script type="text/javascript" src="all_9.js"></script>
|
||||
<script type="text/javascript" src="search.js"></script>
|
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</head>
|
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<body class="SRPage">
|
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<div id="SRIndex">
|
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<div class="SRStatus" id="Loading">Loading...</div>
|
||||
<div id="SRResults"></div>
|
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<script type="text/javascript"><!--
|
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createResults();
|
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--></script>
|
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<div class="SRStatus" id="Searching">Searching...</div>
|
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<div class="SRStatus" id="NoMatches">No Matches</div>
|
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<script type="text/javascript"><!--
|
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document.getElementById("Loading").style.display="none";
|
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document.getElementById("NoMatches").style.display="none";
|
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var searchResults = new SearchResults("searchResults");
|
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searchResults.Search();
|
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--></script>
|
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</div>
|
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</body>
|
||||
</html>
|
||||
7
higher/doc/html/search/all_9.js
Normal file
7
higher/doc/html/search/all_9.js
Normal file
|
|
@ -0,0 +1,7 @@
|
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var searchData=
|
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[
|
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['int_5fimage',['int_image',['../namespacetransformations.html#add0ba9b9fec4d378887b341e61b7c2fb',1,'transformations']]],
|
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['invscale_5frand_5ffloats',['invScale_rand_floats',['../namespacetransformations.html#ac49802d45ee247e10c3adfcc7cb86cbf',1,'transformations']]],
|
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['is_5faugmenting',['is_augmenting',['../classdataug_1_1Augmented__model.html#a0452448f74cc24e6a9c3564a6d8bf5c7',1,'dataug::Augmented_model']]],
|
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['items',['items',['../classdataug_1_1Augmented__model.html#a8604cb4a03363f3631b3321d531484e3',1,'dataug::Augmented_model']]]
|
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|
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26
higher/doc/html/search/all_a.html
Normal file
26
higher/doc/html/search/all_a.html
Normal file
|
|
@ -0,0 +1,26 @@
|
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
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<meta name="generator" content="Doxygen 1.8.13"/>
|
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<link rel="stylesheet" type="text/css" href="search.css"/>
|
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<script type="text/javascript" src="all_a.js"></script>
|
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<script type="text/javascript" src="search.js"></script>
|
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</head>
|
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<body class="SRPage">
|
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<div id="SRIndex">
|
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<div class="SRStatus" id="Loading">Loading...</div>
|
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<div id="SRResults"></div>
|
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<script type="text/javascript"><!--
|
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|
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--></script>
|
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<div class="SRStatus" id="Searching">Searching...</div>
|
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<div class="SRStatus" id="NoMatches">No Matches</div>
|
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<script type="text/javascript"><!--
|
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document.getElementById("Loading").style.display="none";
|
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document.getElementById("NoMatches").style.display="none";
|
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var searchResults = new SearchResults("searchResults");
|
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searchResults.Search();
|
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--></script>
|
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</div>
|
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</body>
|
||||
</html>
|
||||
5
higher/doc/html/search/all_a.js
Normal file
5
higher/doc/html/search/all_a.js
Normal file
|
|
@ -0,0 +1,5 @@
|
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var searchData=
|
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[
|
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['lenet',['LeNet',['../classmodel_1_1LeNet.html',1,'model']]],
|
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['loss_5fweight',['loss_weight',['../namespacedataug.html#a7d57ec611fa1ed1479fa2219b0d83d3f',1,'dataug']]]
|
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];
|
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26
higher/doc/html/search/all_b.html
Normal file
26
higher/doc/html/search/all_b.html
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
|
||||
<html><head><title></title>
|
||||
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
|
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||||
<script type="text/javascript" src="search.js"></script>
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<div id="SRIndex">
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<div id="SRResults"></div>
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|
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|
||||
</body>
|
||||
</html>
|
||||
8
higher/doc/html/search/all_b.js
Normal file
8
higher/doc/html/search/all_b.js
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|
|
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|
|||
var searchData=
|
||||
[
|
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||||
['plot_5fresv2',['plot_resV2',['../namespaceutils.html#a669b01f2e6565bb22c2d6e14de4a0406',1,'utils']]],
|
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||||
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|
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26
higher/doc/html/search/all_c.html
Normal file
26
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|
|
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|
|||
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<div id="SRResults"></div>
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<script type="text/javascript"><!--
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<div class="SRStatus" id="Searching">Searching...</div>
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<div class="SRStatus" id="NoMatches">No Matches</div>
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|
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|
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|
||||
</html>
|
||||
8
higher/doc/html/search/all_c.js
Normal file
8
higher/doc/html/search/all_c.js
Normal file
|
|
@ -0,0 +1,8 @@
|
|||
var searchData=
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[
|
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|
||||
['randaug',['RandAug',['../classdataug_1_1RandAug.html',1,'dataug']]],
|
||||
['reg_5floss',['reg_loss',['../namespacedataug.html#afa0085b0b89464ab1103ca1cf631465a',1,'dataug']]],
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26
higher/doc/html/search/all_d.html
Normal file
26
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|
|
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|
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<div class="SRStatus" id="Searching">Searching...</div>
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<div class="SRStatus" id="NoMatches">No Matches</div>
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|
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|
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var searchResults = new SearchResults("searchResults");
|
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--></script>
|
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|
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</body>
|
||||
</html>
|
||||
7
higher/doc/html/search/all_d.js
Normal file
7
higher/doc/html/search/all_d.js
Normal file
|
|
@ -0,0 +1,7 @@
|
|||
var searchData=
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[
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['sharpeness',['sharpeness',['../namespacetransformations.html#a10a9e3221a2c76824d7d7f305b2aa9aa',1,'transformations']]],
|
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['shear',['shear',['../namespacetransformations.html#a9afae86f07c95502ab6aa79374f9418e',1,'transformations']]],
|
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['solarize',['solarize',['../namespacetransformations.html#a0a93f2875e5a3d32f64581666ad03774',1,'transformations']]],
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['state_5fdict',['state_dict',['../classdataug_1_1Higher__model.html#a58dbc71a89657f1700c7c19f5e097e53',1,'dataug::Higher_model']]]
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];
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26
higher/doc/html/search/all_e.html
Normal file
26
higher/doc/html/search/all_e.html
Normal file
|
|
@ -0,0 +1,26 @@
|
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
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<meta name="generator" content="Doxygen 1.8.13"/>
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<script type="text/javascript" src="search.js"></script>
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<body class="SRPage">
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<div id="SRIndex">
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<div class="SRStatus" id="Loading">Loading...</div>
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<div id="SRResults"></div>
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<script type="text/javascript"><!--
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<div class="SRStatus" id="Searching">Searching...</div>
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<div class="SRStatus" id="NoMatches">No Matches</div>
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<script type="text/javascript"><!--
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var searchResults = new SearchResults("searchResults");
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</body>
|
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</html>
|
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13
higher/doc/html/search/all_e.js
Normal file
13
higher/doc/html/search/all_e.js
Normal file
|
|
@ -0,0 +1,13 @@
|
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var searchData=
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[
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['test',['test',['../namespacetrain__utils.html#a3021b0f6d08103a5d6b30ec48bd257f4',1,'train_utils']]],
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['test_5fdataug',['test_dataug',['../namespacetest__dataug.html',1,'']]],
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['tf_5fprob',['TF_prob',['../namespacedataug.html#a100bf720b9a794b1fb7b1a608e88c393',1,'dataug']]],
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['transformations',['transformations',['../namespacetransformations.html',1,'']]],
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26
higher/doc/html/search/all_f.html
Normal file
26
higher/doc/html/search/all_f.html
Normal file
|
|
@ -0,0 +1,26 @@
|
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<div class="SRStatus" id="NoMatches">No Matches</div>
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|
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</html>
|
||||
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