deploy: SimplexLab/TorchJD@acd6d4e

Author: ValerianRey

stable/_sources/docs/autogram/index.rst.txt

@@ -1,9 +1,8 @@
 autogram
 ========
 
-
 .. automodule:: torchjd.autogram
-   :members:
+    :no-members:
 
 .. toctree::
     :hidden:

stable/_sources/docs/autojac/index.rst.txt

@@ -2,8 +2,7 @@ autojac
 =======
 
 .. automodule:: torchjd.autojac
-   :members:
-
+   :no-members:
 
 .. toctree::
     :hidden:

stable/_sources/examples/monitoring.rst.txt

@@ -49,7 +49,7 @@ they have a negative inner product).
     optimizer = SGD(params, lr=0.1)
     aggregator = UPGrad()
 
-    aggregator.weighting.register_forward_hook(print_weights)
+    aggregator.weighting.weighting.register_forward_hook(print_weights)
     aggregator.register_forward_hook(print_gd_similarity)
 
     inputs = torch.randn(8, 16, 10)  # 8 batches of 16 random input vectors of length 10

stable/_static/documentation_options.js

@@ -1,5 +1,5 @@
 const DOCUMENTATION_OPTIONS = {
-    VERSION: '0.8.0',
+    VERSION: '0.8.1',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'dirhtml',

stable/_static/styles/furo.css

@@ -8,10 +8,10 @@
         <link rel="prefetch" href="../../../_static/logo-light-mode.png" as="image">
         <link rel="prefetch" href="../../../_static/logo-dark-mode.png" as="image">
 
-    <link rel="shortcut icon" href="../../../_static/favicon.ico"><!-- Generated with Sphinx 8.2.3 and Furo 2025.09.25 -->
+    <link rel="shortcut icon" href="../../../_static/favicon.ico"><!-- Generated with Sphinx 8.2.3 and Furo 2025.12.19 -->
         <title>Aligned-MTL - TorchJD</title>
       <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=d111a655" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo.css?v=580074bf" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo.css?v=7bdb33bb" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-design.min.css?v=95c83b7e" />
     <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo-extensions.css?v=8dab3a3b" />
 
@@ -293,7 +293,7 @@
 <h1>Aligned-MTL<a class="headerlink" href="#aligned-mtl" title="Link to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchjd.aggregation.AlignedMTL">
-<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">AlignedMTL</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pref_vector</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.0/src/torchjd/aggregation/_aligned_mtl.py#L37-L59"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.AlignedMTL" title="Link to this definition">¶</a></dt>
+<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">AlignedMTL</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pref_vector</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.1/src/torchjd/aggregation/_aligned_mtl.py#L37-L59"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.AlignedMTL" title="Link to this definition">¶</a></dt>
 <dd><p><a class="reference internal" href="../#torchjd.aggregation.Aggregator" title="torchjd.aggregation._aggregator_bases.Aggregator"><code class="xref py py-class docutils literal notranslate"><span class="pre">Aggregator</span></code></a> as defined in Algorithm 1 of
 <a class="reference external" href="https://openaccess.thecvf.com/content/CVPR2023/papers/Senushkin_Independent_Component_Alignment_for_Multi-Task_Learning_CVPR_2023_paper.pdf">Independent Component Alignment for Multi-Task Learning</a>.</p>
 <dl class="field-list simple">
@@ -310,7 +310,7 @@ <h1>Aligned-MTL<a class="headerlink" href="#aligned-mtl" title="Link to this hea
 
 <dl class="py class">
 <dt class="sig sig-object py" id="torchjd.aggregation.AlignedMTLWeighting">
-<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">AlignedMTLWeighting</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pref_vector</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.0/src/torchjd/aggregation/_aligned_mtl.py#L62-L99"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.AlignedMTLWeighting" title="Link to this definition">¶</a></dt>
+<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">AlignedMTLWeighting</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pref_vector</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.1/src/torchjd/aggregation/_aligned_mtl.py#L62-L99"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.AlignedMTLWeighting" title="Link to this definition">¶</a></dt>
 <dd><p><a class="reference internal" href="../#torchjd.aggregation.Weighting" title="torchjd.aggregation._weighting_bases.Weighting"><code class="xref py py-class docutils literal notranslate"><span class="pre">Weighting</span></code></a> giving the weights of
 <a class="reference internal" href="#torchjd.aggregation.AlignedMTL" title="torchjd.aggregation.AlignedMTL"><code class="xref py py-class docutils literal notranslate"><span class="pre">AlignedMTL</span></code></a>.</p>
 <dl class="field-list simple">
@@ -372,7 +372,7 @@ <h1>Aligned-MTL<a class="headerlink" href="#aligned-mtl" title="Link to this hea
 
     </aside>
   </div>
-</div><script src="../../../_static/documentation_options.js?v=0c033e68"></script>
+</div><script src="../../../_static/documentation_options.js?v=1ec50272"></script>
     <script src="../../../_static/doctools.js?v=9bcbadda"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/scripts/furo.js?v=46bd48cc"></script>

stable/_static/styles/furo.css.map

@@ -8,10 +8,10 @@
         <link rel="prefetch" href="../../../_static/logo-light-mode.png" as="image">
         <link rel="prefetch" href="../../../_static/logo-dark-mode.png" as="image">
 
-    <link rel="shortcut icon" href="../../../_static/favicon.ico"><!-- Generated with Sphinx 8.2.3 and Furo 2025.09.25 -->
+    <link rel="shortcut icon" href="../../../_static/favicon.ico"><!-- Generated with Sphinx 8.2.3 and Furo 2025.12.19 -->
         <title>CAGrad - TorchJD</title>
       <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=d111a655" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo.css?v=580074bf" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo.css?v=7bdb33bb" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-design.min.css?v=95c83b7e" />
     <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo-extensions.css?v=8dab3a3b" />
 
@@ -293,7 +293,7 @@
 <h1>CAGrad<a class="headerlink" href="#cagrad" title="Link to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchjd.aggregation.CAGrad">
-<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">CAGrad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">c</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.0/src/torchjd/aggregation/_cagrad.py#L18-L47"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.CAGrad" title="Link to this definition">¶</a></dt>
+<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">CAGrad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">c</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.1/src/torchjd/aggregation/_cagrad.py#L18-L47"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.CAGrad" title="Link to this definition">¶</a></dt>
 <dd><p><a class="reference internal" href="../#torchjd.aggregation.Aggregator" title="torchjd.aggregation._aggregator_bases.Aggregator"><code class="xref py py-class docutils literal notranslate"><span class="pre">Aggregator</span></code></a> as defined in Algorithm 1 of
 <a class="reference external" href="https://arxiv.org/pdf/2110.14048.pdf">Conflict-Averse Gradient Descent for Multi-task Learning</a>.</p>
 <dl class="field-list simple">
@@ -315,7 +315,7 @@ <h1>CAGrad<a class="headerlink" href="#cagrad" title="Link to this heading">¶</
 
 <dl class="py class">
 <dt class="sig sig-object py" id="torchjd.aggregation.CAGradWeighting">
-<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">CAGradWeighting</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">c</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.0/src/torchjd/aggregation/_cagrad.py#L50-L103"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.CAGradWeighting" title="Link to this definition">¶</a></dt>
+<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">CAGradWeighting</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">c</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.1/src/torchjd/aggregation/_cagrad.py#L50-L103"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.CAGradWeighting" title="Link to this definition">¶</a></dt>
 <dd><p><a class="reference internal" href="../#torchjd.aggregation.Weighting" title="torchjd.aggregation._weighting_bases.Weighting"><code class="xref py py-class docutils literal notranslate"><span class="pre">Weighting</span></code></a> giving the weights of
 <a class="reference internal" href="#torchjd.aggregation.CAGrad" title="torchjd.aggregation.CAGrad"><code class="xref py py-class docutils literal notranslate"><span class="pre">CAGrad</span></code></a>.</p>
 <dl class="field-list simple">
@@ -386,7 +386,7 @@ <h1>CAGrad<a class="headerlink" href="#cagrad" title="Link to this heading">¶</
 
     </aside>
   </div>
-</div><script src="../../../_static/documentation_options.js?v=0c033e68"></script>
+</div><script src="../../../_static/documentation_options.js?v=1ec50272"></script>
     <script src="../../../_static/doctools.js?v=9bcbadda"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/scripts/furo.js?v=46bd48cc"></script>

stable/docs/aggregation/aligned_mtl/index.html

@@ -8,10 +8,10 @@
         <link rel="prefetch" href="../../../_static/logo-light-mode.png" as="image">
         <link rel="prefetch" href="../../../_static/logo-dark-mode.png" as="image">
 
-    <link rel="shortcut icon" href="../../../_static/favicon.ico"><!-- Generated with Sphinx 8.2.3 and Furo 2025.09.25 -->
+    <link rel="shortcut icon" href="../../../_static/favicon.ico"><!-- Generated with Sphinx 8.2.3 and Furo 2025.12.19 -->
         <title>ConFIG - TorchJD</title>
       <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=d111a655" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo.css?v=580074bf" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo.css?v=7bdb33bb" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-design.min.css?v=95c83b7e" />
     <link rel="stylesheet" type="text/css" href="../../../_static/styles/furo-extensions.css?v=8dab3a3b" />
 
@@ -293,7 +293,7 @@
 <h1>ConFIG<a class="headerlink" href="#config" title="Link to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchjd.aggregation.ConFIG">
-<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">ConFIG</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pref_vector</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.0/src/torchjd/aggregation/_config.py#L37-L74"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.ConFIG" title="Link to this definition">¶</a></dt>
+<em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">ConFIG</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pref_vector</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/v0.8.1/src/torchjd/aggregation/_config.py#L37-L74"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.ConFIG" title="Link to this definition">¶</a></dt>
 <dd><p><a class="reference internal" href="../#torchjd.aggregation.Aggregator" title="torchjd.aggregation._aggregator_bases.Aggregator"><code class="xref py py-class docutils literal notranslate"><span class="pre">Aggregator</span></code></a> as defined in Equation 2 of <a class="reference external" href="https://arxiv.org/pdf/2408.11104">ConFIG:
 Towards Conflict-free Training of Physics Informed Neural Networks</a>.</p>
 <dl class="field-list simple">
@@ -359,7 +359,7 @@ <h1>ConFIG<a class="headerlink" href="#config" title="Link to this heading">¶</
 
     </aside>
   </div>
-</div><script src="../../../_static/documentation_options.js?v=0c033e68"></script>
+</div><script src="../../../_static/documentation_options.js?v=1ec50272"></script>
     <script src="../../../_static/doctools.js?v=9bcbadda"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/scripts/furo.js?v=46bd48cc"></script>