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Philippe Tillet
2021-07-28 10:15:45 +00:00
parent cfaad88904
commit 040ec5e252
19 changed files with 84 additions and 82 deletions
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_sources/getting-started/installation.rst.txt
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@@ -8,6 +8,8 @@ Binary Distributions
You can install the latest stable release of Triton from pip: You can install the latest stable release of Triton from pip:
.. code-block:: bash
pip install triton pip install triton
Binary wheels are available for CPython 3.6-3.9 and PyPy 3.6-3.7. Binary wheels are available for CPython 3.6-3.9 and PyPy 3.6-3.7.

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_sources/getting-started/tutorials/01-vector-add.rst.txt
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py: .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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_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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@@ -411,7 +411,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
.. rst-class:: sphx-glr-timing .. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 11.538 seconds) **Total running time of the script:** ( 2 minutes 8.651 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

8
_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,12 +5,12 @@
Computation times Computation times
================= =================
**03:30.696** total execution time for **getting-started_tutorials** files: **03:27.823** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:11.538 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:08.651 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.179 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.191 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.979 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.980 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+

6
getting-started/installation.html
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@@ -186,9 +186,9 @@
<div class="section" id="binary-distributions"> <div class="section" id="binary-distributions">
<h2>Binary Distributions<a class="headerlink" href="#binary-distributions" title="Permalink to this headline"></a></h2> <h2>Binary Distributions<a class="headerlink" href="#binary-distributions" title="Permalink to this headline"></a></h2>
<p>You can install the latest stable release of Triton from pip:</p> <p>You can install the latest stable release of Triton from pip:</p>
<blockquote> <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install triton
<div><p>pip install triton</p> </pre></div>
</div></blockquote> </div>
<p>Binary wheels are available for CPython 3.6-3.9 and PyPy 3.6-3.7.</p> <p>Binary wheels are available for CPython 3.6-3.9 and PyPy 3.6-3.7.</p>
<p>And the latest nightly release:</p> <p>And the latest nightly release:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install -U --pre triton <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install -U --pre triton

6
getting-started/tutorials/01-vector-add.html
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<div class="sphx-glr-download sphx-glr-download-python docutils container"> <div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/62d97d49a32414049819dd8bb8378080/01-vector-add.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">01-vector-add.py</span></code></a></p> <p><a class="reference download internal" download="" href="../../_downloads/62d97d49a32414049819dd8bb8378080/01-vector-add.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">01-vector-add.py</span></code></a></p>

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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
<p class="sphx-glr-script-out">Out:</p> <p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance: <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
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@@ -370,7 +370,7 @@ This means that – when temporary data is too large to fit entirely in the GPU
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> 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>
</ul> </ul>
</div></blockquote> </div></blockquote>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.179 seconds)</p> <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.191 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py"> <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
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52
getting-started/tutorials/03-matrix-multiplication.html
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@@ -476,42 +476,42 @@ tensor(True, device=&#39;cuda:0&#39;)
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance: <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
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