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Advantages_Data_Types.html

@@ -15151,10 +15151,10 @@ <h1 id="Why-%CE%A6ML-has-Precision-Management">Why &#934;<sub>ML</sub> has Preci
 
 
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-<pre>2024-06-13 16:53:42.407497: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
-2024-06-13 16:53:42.446326: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+<pre>2024-06-25 09:00:04.150154: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
+2024-06-25 09:00:04.188498: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
 To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
-2024-06-13 16:53:43.206714: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
+2024-06-25 09:00:04.903992: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
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Autodiff.html

@@ -15187,7 +15187,7 @@ <h1 id="Automatic-Differentiation-in-%CE%A6ML">Automatic Differentiation in &#93
 
 
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-<pre>/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/phiml/math/_functional.py:509: RuntimeWarning: Using torch for gradient computation because numpy does not support jacobian()
+<pre>/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/phiml/math/_functional.py:628: RuntimeWarning: Using torch for gradient computation because numpy does not support jacobian()
   warnings.warn(f&#34;Using {math.default_backend()} for gradient computation because {key.backend} does not support jacobian()&#34;, RuntimeWarning)
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Convert.html

@@ -15617,7 +15617,7 @@ <h2 id="Converting-Tensors">Converting Tensors<a class="anchor-link" href="#Conv
 
 
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-<pre>2024-06-13 16:53:56.941256: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
+<pre>2024-06-25 09:00:16.586042: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
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Introduction.html

@@ -15349,7 +15349,7 @@ <h2 id="Usage-without-%CE%A6ML's-Tensors">Usage without &#934;<sub>ML</sub>'s Te
 
 
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-<pre>2024-06-13 16:54:30.927689: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
+<pre>2024-06-25 09:00:48.088226: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
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N_Dimensional.html

@@ -15250,7 +15250,7 @@ <h2 id="Grids">Grids<a class="anchor-link" href="#Grids">&#182;</a></h2><p>Grids
 
 
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-<pre><span class="ansi-blue-intense-fg">(0.408, 0.310, 0.455, 0.482, 0.471)</span> along <span class="ansi-green-intense-fg">xˢ</span></pre>
+<pre><span class="ansi-blue-intense-fg">(0.502, 0.604, 0.692, 0.670, 0.683)</span> along <span class="ansi-green-intense-fg">xˢ</span></pre>
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@@ -15289,7 +15289,7 @@ <h2 id="Grids">Grids<a class="anchor-link" href="#Grids">&#182;</a></h2><p>Grids
 
 
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-<pre><span class="ansi-green-intense-fg">(xˢ=3, yˢ=3)</span> <span class="ansi-blue-intense-fg">0.473 ± 0.142</span> <span class="ansi-white-fg">(3e-01...7e-01)</span></pre>
+<pre><span class="ansi-green-intense-fg">(xˢ=3, yˢ=3)</span> <span class="ansi-blue-intense-fg">0.530 ± 0.120</span> <span class="ansi-white-fg">(3e-01...7e-01)</span></pre>
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@@ -15328,7 +15328,7 @@ <h2 id="Grids">Grids<a class="anchor-link" href="#Grids">&#182;</a></h2><p>Grids
 
 
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-<pre><span class="ansi-green-intense-fg">(xˢ=16, yˢ=16, zˢ=16)</span> <span class="ansi-blue-intense-fg">0.499 ± 0.117</span> <span class="ansi-white-fg">(2e-01...9e-01)</span></pre>
+<pre><span class="ansi-green-intense-fg">(xˢ=16, yˢ=16, zˢ=16)</span> <span class="ansi-blue-intense-fg">0.497 ± 0.118</span> <span class="ansi-white-fg">(1e-01...9e-01)</span></pre>
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@@ -15479,7 +15479,7 @@ <h2 id="Grids">Grids<a class="anchor-link" href="#Grids">&#182;</a></h2><p>Grids
 
 
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-<pre><span class="ansi-blue-intense-fg">((2.1267273+0j), (-0.35348907+0.54668784j), (-0.081032336-0.08557317j), (-0.081032336+0.08557317j), (-0.35348907-0.54668784j))</span> along <span class="ansi-green-intense-fg">xˢ</span> <span class="ansi-yellow-intense-fg">complex64</span></pre>
+<pre><span class="ansi-blue-intense-fg">((3.1512234+0j), (-0.6513391+0.20013374j), (0.14631796-0.08255504j), (0.14631796+0.08255504j), (-0.6513391-0.20013374j))</span> along <span class="ansi-green-intense-fg">xˢ</span> <span class="ansi-yellow-intense-fg">complex64</span></pre>
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@@ -15518,7 +15518,7 @@ <h2 id="Grids">Grids<a class="anchor-link" href="#Grids">&#182;</a></h2><p>Grids
 
 
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-<pre><span class="ansi-green-intense-fg">(xˢ=3, yˢ=3)</span> <span class="ansi-yellow-intense-fg">complex64</span> <span class="ansi-blue-intense-fg">|...| &lt; 4.2608747482299805</span></pre>
+<pre><span class="ansi-green-intense-fg">(xˢ=3, yˢ=3)</span> <span class="ansi-yellow-intense-fg">complex64</span> <span class="ansi-blue-intense-fg">|...| &lt; 4.765630722045898</span></pre>
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@@ -15557,7 +15557,7 @@ <h2 id="Grids">Grids<a class="anchor-link" href="#Grids">&#182;</a></h2><p>Grids
 
 
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-<pre><span class="ansi-green-intense-fg">(xˢ=16, yˢ=16, zˢ=16)</span> <span class="ansi-yellow-intense-fg">complex64</span> <span class="ansi-blue-intense-fg">|...| &lt; 2044.6807861328125</span></pre>
+<pre><span class="ansi-green-intense-fg">(xˢ=16, yˢ=16, zˢ=16)</span> <span class="ansi-yellow-intense-fg">complex64</span> <span class="ansi-blue-intense-fg">|...| &lt; 2037.5850830078125</span></pre>
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@@ -15672,7 +15672,7 @@ <h2 id="Dimensions-as-Components">Dimensions as Components<a class="anchor-link"
 
 
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-<pre><span class="ansi-green-intense-fg">(othersⁱ=4, pointsⁱ=4)</span> <span class="ansi-blue-intense-fg">0.346 ± 0.278</span> <span class="ansi-white-fg">(0e+00...9e-01)</span></pre>
+<pre><span class="ansi-green-intense-fg">(othersⁱ=4, pointsⁱ=4)</span> <span class="ansi-blue-intense-fg">0.365 ± 0.302</span> <span class="ansi-white-fg">(0e+00...8e-01)</span></pre>
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@@ -15711,7 +15711,7 @@ <h2 id="Dimensions-as-Components">Dimensions as Components<a class="anchor-link"
 
 
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-<pre><span class="ansi-green-intense-fg">(othersⁱ=4, pointsⁱ=4)</span> <span class="ansi-blue-intense-fg">0.358 ± 0.233</span> <span class="ansi-white-fg">(0e+00...6e-01)</span></pre>
+<pre><span class="ansi-green-intense-fg">(othersⁱ=4, pointsⁱ=4)</span> <span class="ansi-blue-intense-fg">0.252 ± 0.176</span> <span class="ansi-white-fg">(0e+00...5e-01)</span></pre>
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@@ -15750,7 +15750,7 @@ <h2 id="Dimensions-as-Components">Dimensions as Components<a class="anchor-link"
 
 
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-<pre><span class="ansi-green-intense-fg">(othersⁱ=4, pointsⁱ=4)</span> <span class="ansi-blue-intense-fg">0.486 ± 0.370</span> <span class="ansi-white-fg">(0e+00...1e+00)</span></pre>
+<pre><span class="ansi-green-intense-fg">(othersⁱ=4, pointsⁱ=4)</span> <span class="ansi-blue-intense-fg">0.577 ± 0.360</span> <span class="ansi-white-fg">(0e+00...9e-01)</span></pre>
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Non_Uniform.html

@@ -15188,7 +15188,7 @@ <h1 id="Non-uniform-Tensors">Non-uniform Tensors<a class="anchor-link" href="#No
 
 
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-<pre><span class="ansi-green-intense-fg">(xˢ=</span><span class="ansi-blue-intense-fg">(4, 5)</span><span class="ansi-green-intense-fg"> along </span><span class="ansi-green-intense-fg">sᶜ</span><span class="ansi-green-intense-fg"> </span><span class="ansi-yellow-intense-fg">int64</span><span class="ansi-green-intense-fg">, yˢ=2, sᶜ=2)</span> non-uniform</pre>
+<pre><span class="ansi-green-intense-fg">(xˢ=</span><span class="ansi-blue-intense-fg">(4, 5)</span><span class="ansi-green-intense-fg"> along </span><span class="ansi-green-intense-fg">sᶜ</span><span class="ansi-green-intense-fg"> </span><span class="ansi-yellow-intense-fg">int64</span><span class="ansi-green-intense-fg">, yˢ=2, sᶜ=2)</span> <span class="ansi-blue-intense-fg">0.556 ± 0.497</span> <span class="ansi-white-fg">(0e+00...1e+00)</span></pre>
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@@ -15538,7 +15538,7 @@ <h1 id="Non-uniform-Tensors">Non-uniform Tensors<a class="anchor-link" href="#No
 
 
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-<pre><span class="ansi-green-intense-fg">(xˢ=</span><span class="ansi-blue-intense-fg">(4, 5)</span><span class="ansi-green-intense-fg"> along </span><span class="ansi-green-intense-fg">sᶜ</span><span class="ansi-green-intense-fg"> </span><span class="ansi-yellow-intense-fg">int64</span><span class="ansi-green-intense-fg">, yˢ=</span><span class="ansi-blue-intense-fg">(2, 1)</span><span class="ansi-green-intense-fg"> along </span><span class="ansi-green-intense-fg">s2ᶜ</span><span class="ansi-green-intense-fg"> </span><span class="ansi-yellow-intense-fg">int64</span><span class="ansi-green-intense-fg">, sᶜ=2, s2ᶜ=2)</span> non-uniform</pre>
+<pre><span class="ansi-green-intense-fg">(xˢ=</span><span class="ansi-blue-intense-fg">(4, 5)</span><span class="ansi-green-intense-fg"> along </span><span class="ansi-green-intense-fg">sᶜ</span><span class="ansi-green-intense-fg"> </span><span class="ansi-yellow-intense-fg">int64</span><span class="ansi-green-intense-fg">, yˢ=</span><span class="ansi-blue-intense-fg">(2, 1)</span><span class="ansi-green-intense-fg"> along </span><span class="ansi-green-intense-fg">s2ᶜ</span><span class="ansi-green-intense-fg"> </span><span class="ansi-yellow-intense-fg">int64</span><span class="ansi-green-intense-fg">, sᶜ=2, s2ᶜ=2)</span> <span class="ansi-blue-intense-fg">0.556 ± 0.497</span> <span class="ansi-white-fg">(0e+00...1e+00)</span></pre>
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@@ -15589,7 +15589,7 @@ <h1 id="Non-uniform-Tensors">Non-uniform Tensors<a class="anchor-link" href="#No
 
 
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-<pre><span class="ansi-blue-intense-fg">0.5</span></pre>
+<pre><span class="ansi-blue-intense-fg">0.5555556</span></pre>
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@@ -15629,7 +15629,7 @@ <h1 id="Non-uniform-Tensors">Non-uniform Tensors<a class="anchor-link" href="#No
 
 
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-<pre>Cannot compute std along non-uniform dims (s2ᶜ=2). shape=(xˢ=<span class="ansi-blue-intense-fg">(4, 5)</span> along <span class="ansi-green-intense-fg">sᶜ</span> <span class="ansi-yellow-intense-fg">int64</span>, yˢ=<span class="ansi-blue-intense-fg">(2, 1)</span> along <span class="ansi-green-intense-fg">s2ᶜ</span> <span class="ansi-yellow-intense-fg">int64</span>, sᶜ=2, s2ᶜ=2)
+<pre>Cannot merge shapes [(xˢ=4, yˢ=2), (xˢ=4, yˢ=1)] because dimension &#39;y&#39; exists with different sizes.
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