Deploying to gh-pages from @ 8f700b1 🚀

post/2024-05-28-cuda_5.4/index.html

@@ -180,12 +180,11 @@ <h2 id="eager_garbage_collection"><a href="#eager_garbage_collection" class="hea
 n_feature &#61; 1000
 X &#61; rand&#40;n_feature, n_obs&#41;
 y &#61; rand&#40;1, n_obs&#41;
-train_data &#61; DataLoader&#40;&#40;X, y&#41; |&lt; gpu; batchsize &#61; 2048, shuffle&#61;false&#41;
+train_data &#61; DataLoader&#40;&#40;X, y&#41; |&gt; gpu; batchsize &#61; 2048, shuffle&#61;false&#41;
 
-model &#61; Dense&#40;n_feature, &gt;&#41; |&lt; gpu
-loss&#40;m, _x, _y&#41; &#61; Flux.Losses.mse&#40;m&#40;_x&#41;, _&gt;&#41;
+model &#61; Dense&#40;n_feature, 1&#41; |&gt; gpu
+loss&#40;m, _x, _y&#41; &#61; Flux.Losses.mse&#40;m&#40;_x&#41;, _y&#41;
 opt_state &#61; Flux.setup&#40;Flux.Adam&#40;&#41;, model&#41;
-Flux.train&#33;&#40;loss, model, train_data, opt_state&#41;
 for epoch in 1:100
   Flux.train&#33;&#40;loss, model, train_data, opt_state&#41;
 end</code></pre>

post/index.xml

@@ -55,10 +55,9 @@ using MLUtils: DataLoadern_obs = 300_000
 n_feature = 1000
 X = rand(n_feature, n_obs)
 y = rand(1, n_obs)
-train_data = DataLoader((X, y) |< gpu; batchsize = 2048, shuffle=false)model = Dense(n_feature, >) |< gpu
-loss(m, _x, _y) = Flux.Losses.mse(m(_x), _>)
+train_data = DataLoader((X, y) |> gpu; batchsize = 2048, shuffle=false)model = Dense(n_feature, 1) |> gpu
+loss(m, _x, _y) = Flux.Losses.mse(m(_x), _y)
 opt_state = Flux.setup(Flux.Adam(), model)
-Flux.train!(loss, model, train_data, opt_state)
 for epoch in 1:100
   Flux.train!(loss, model, train_data, opt_state)
 end</code></pre>

sitemap.xml

@@ -3,55 +3,55 @@
 
 <url>
     <loc>https://juliagpu.org/post/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>
 <url>
     <loc>https://juliagpu.org/rocm/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>
 <url>
     <loc>https://juliagpu.org/learn/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>
 <url>
     <loc>https://juliagpu.org/404/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>
 <url>
     <loc>https://juliagpu.org/cuda/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>
 <url>
     <loc>https://juliagpu.org/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>
 <url>
     <loc>https://juliagpu.org/oneapi/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>
 <url>
     <loc>https://juliagpu.org/metal/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>
 <url>
     <loc>https://juliagpu.org/other/index.html</loc>
-    <lastmod>2024-05-28</lastmod>
+    <lastmod>2024-05-31</lastmod>
     <changefreq>monthly</changefreq>
     <priority>0.5</priority>
 </url>