build based on 9c3b615

previews/PR2492/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.11.0","generation_timestamp":"2024-10-11T02:33:30","documenter_version":"1.7.0"}}
+{"documenter":{"julia_version":"1.11.0","generation_timestamp":"2024-10-11T02:42:06","documenter_version":"1.7.0"}}

previews/PR2492/guide/gpu/index.html

@@ -223,4 +223,4 @@
 Epoch 3: Loss 0.012763695
 ...</code></pre><p>Remember that in order to run it on multiple GPUs you have to run from CLI <code>mpiexecjl --project=. -n &lt;np&gt; julia &lt;filename&gt;.jl</code>, where  <code>&lt;np&gt;</code> is the number of processes that you want to use. The number of processes usually corresponds to the number of gpus.</p><p>By default <code>MPI.jl</code> MPI installation is CUDA-unaware so if you want to run it in CUDA-aware mode, read more <a href="https://juliaparallel.org/MPI.jl/stable/usage/#CUDA-aware-MPI-support">here</a> on custom installation and rebuilding <code>MPI.jl</code>.  Then test if your MPI is CUDA-aware by</p><pre><code class="language-julia-repl hljs">julia&gt; import Pkg
 julia&gt; Pkg.test(&quot;MPI&quot;; test_args=[&quot;--backend=CUDA&quot;])</code></pre><p>If it is, set your local preference as below</p><pre><code class="language-julia-repl hljs">julia&gt; using Preferences
-julia&gt; set_preferences!(&quot;Flux&quot;, &quot;FluxDistributedMPICUDAAware&quot; =&gt; true)</code></pre><div class="admonition is-warning"><header class="admonition-header">Known shortcomings</header><div class="admonition-body"><p>We don&#39;t run CUDA-aware tests so you&#39;re running it at own risk.</p></div></div></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../models/recurrence/">« Recurrence</a><a class="docs-footer-nextpage" href="../saving/">Saving &amp; Loading »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 11 October 2024 02:33">Friday 11 October 2024</span>. Using Julia version 1.11.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+julia&gt; set_preferences!(&quot;Flux&quot;, &quot;FluxDistributedMPICUDAAware&quot; =&gt; true)</code></pre><div class="admonition is-warning"><header class="admonition-header">Known shortcomings</header><div class="admonition-body"><p>We don&#39;t run CUDA-aware tests so you&#39;re running it at own risk.</p></div></div></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../models/recurrence/">« Recurrence</a><a class="docs-footer-nextpage" href="../saving/">Saving &amp; Loading »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 11 October 2024 02:42">Friday 11 October 2024</span>. Using Julia version 1.11.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

previews/PR2492/guide/models/basics/index.html

@@ -108,4 +108,4 @@
   return Affine(W, b)
 end
 
-Affine(3 =&gt; 1, bias=false) |&gt; gpu</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../overview/">« Fitting a Line</a><a class="docs-footer-nextpage" href="../custom_layers/">Custom Layers »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 11 October 2024 02:33">Friday 11 October 2024</span>. Using Julia version 1.11.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+Affine(3 =&gt; 1, bias=false) |&gt; gpu</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../overview/">« Fitting a Line</a><a class="docs-footer-nextpage" href="../custom_layers/">Custom Layers »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 11 October 2024 02:42">Friday 11 October 2024</span>. Using Julia version 1.11.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

previews/PR2492/guide/models/custom_layers/index.html

@@ -104,4 +104,4 @@
   # rms over all the mse
   ŷs = model(x)
   return sqrt(mean(Flux.mse(y, ŷ) for (y, ŷ) in zip(ys, ŷs)))
-end</code></pre><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>This <code>Split</code> layer is available from the <a href="https://github.com/FluxML/Fluxperimental.jl">Fluxperimental.jl</a> package.</p></div></div></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../basics/">« Gradients and Layers</a><a class="docs-footer-nextpage" href="../../training/training/">Training »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 11 October 2024 02:33">Friday 11 October 2024</span>. Using Julia version 1.11.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+end</code></pre><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>This <code>Split</code> layer is available from the <a href="https://github.com/FluxML/Fluxperimental.jl">Fluxperimental.jl</a> package.</p></div></div></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../basics/">« Gradients and Layers</a><a class="docs-footer-nextpage" href="../../training/training/">Training »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 11 October 2024 02:42">Friday 11 October 2024</span>. Using Julia version 1.11.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

previews/PR2492/guide/models/overview/index.html

@@ -56,4 +56,4 @@
 
 julia> y_test
 1×5 Matrix{Int64}:
- 26  30  34  38  42</code></pre><p>The predictions are good. Here&#39;s how we got there. </p><p>First, we gathered real-world data into the variables <code>x_train</code>, <code>y_train</code>, <code>x_test</code>, and <code>y_test</code>. The <code>x_*</code> data defines inputs, and the <code>y_*</code> data defines outputs. The <code>*_train</code> data is for training the model, and the <code>*_test</code> data is for verifying the model. Our data was based on the function <code>4x + 2</code>.</p><p>Then, we built a single input, single output predictive model, <code>predict = Dense(1 =&gt; 1)</code>. The initial predictions weren&#39;t accurate, because we had not trained the model yet.</p><p>After building the model, we trained it with <code>train!(loss, predict, data, opt)</code>. The loss function is first, followed by the model itself, the training data, and the <code>Descent</code> optimiser provided by Flux. We ran the training step once, and observed that the parameters changed and the loss went down. Then, we ran the <code>train!</code> many times to finish the training process.</p><p>After we trained the model, we verified it with the test data to verify the results. </p><p>This overall flow represents how Flux works. Let&#39;s drill down a bit to understand what&#39;s going on inside the individual layers of Flux.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../quickstart/">« Quick Start</a><a class="docs-footer-nextpage" href="../basics/">Gradients and Layers »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 11 October 2024 02:33">Friday 11 October 2024</span>. Using Julia version 1.11.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+ 26  30  34  38  42</code></pre><p>The predictions are good. Here&#39;s how we got there. </p><p>First, we gathered real-world data into the variables <code>x_train</code>, <code>y_train</code>, <code>x_test</code>, and <code>y_test</code>. The <code>x_*</code> data defines inputs, and the <code>y_*</code> data defines outputs. The <code>*_train</code> data is for training the model, and the <code>*_test</code> data is for verifying the model. Our data was based on the function <code>4x + 2</code>.</p><p>Then, we built a single input, single output predictive model, <code>predict = Dense(1 =&gt; 1)</code>. The initial predictions weren&#39;t accurate, because we had not trained the model yet.</p><p>After building the model, we trained it with <code>train!(loss, predict, data, opt)</code>. The loss function is first, followed by the model itself, the training data, and the <code>Descent</code> optimiser provided by Flux. We ran the training step once, and observed that the parameters changed and the loss went down. Then, we ran the <code>train!</code> many times to finish the training process.</p><p>After we trained the model, we verified it with the test data to verify the results. </p><p>This overall flow represents how Flux works. Let&#39;s drill down a bit to understand what&#39;s going on inside the individual layers of Flux.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../quickstart/">« Quick Start</a><a class="docs-footer-nextpage" href="../basics/">Gradients and Layers »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 11 October 2024 02:42">Friday 11 October 2024</span>. Using Julia version 1.11.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>