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Philippe Tillet
2021-07-31 05:36:03 +00:00
parent 9e4ac7e794
commit 551f68c481
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_sources/getting-started/tutorials/01-vector-add.rst.txt
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_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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54
_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -371,37 +371,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,12 +5,12 @@
Computation times
=================
**03:36.105** total execution time for **getting-started_tutorials** files:
**03:36.552** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:15.188 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:17.256 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.252 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.181 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:12.665 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.115 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+

8
getting-started/tutorials/01-vector-add.html
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@@ -305,13 +305,13 @@ for different problem sizes.</p>
<p class="sphx-glr-script-out">Out:</p>
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14
getting-started/tutorials/02-fused-softmax.html
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@@ -346,17 +346,17 @@ We will then compare its performance against (1) <code class="code docutils lite
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Note that our Triton kernel is not only faster than PyTorch’s CUDA kernel, it is also <strong>easier to read, understand and maintain</strong>.</p></li>
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54
getting-started/tutorials/03-matrix-multiplication.html
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@@ -476,42 +476,42 @@ tensor(True, device=&#39;cuda:0&#39;)
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8
getting-started/tutorials/sg_execution_times.html
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@@ -174,7 +174,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-getting-started-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline"></a></h1>
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