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Philippe Tillet
2022-04-15 00:42:31 +00:00
parent 2a53636c23
commit 824d060dfb
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8
v1.1.2/getting-started/tutorials/01-vector-add.html
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@@ -322,12 +322,12 @@ for different problem sizes.</p>
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@@ -336,10 +336,10 @@ for different problem sizes.</p>
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12
v1.1.2/getting-started/tutorials/02-fused-softmax.html
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@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
<p class="sphx-glr-script-out">Out:</p>
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@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
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46
v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
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@@ -569,9 +569,9 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
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2
v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
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@@ -371,7 +371,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
<dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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48
v1.1.2/getting-started/tutorials/05-layer-norm.html
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@@ -194,36 +194,36 @@ to download the full example code</p>
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12
v1.1.2/getting-started/tutorials/sg_execution_times.html
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@@ -174,7 +174,7 @@
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