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Philippe Tillet
2021-07-28 06:19:22 +00:00
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_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -216,20 +216,20 @@ We can now run the decorated function above. Pass `show_plots=True` to see the p
vector-add-performance: vector-add-performance:
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_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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softmax-performance: softmax-performance:
N Triton Torch (native) Torch (jit) N Triton Torch (native) Torch (jit)
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.. rst-class:: sphx-glr-timing .. rst-class:: sphx-glr-timing
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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
matmul-performance: matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU) M cuBLAS ... Triton Triton (+ LeakyReLU)
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10 1408.0 64.138541 ... 65.684049 58.621246 10 1408.0 64.138541 ... 64.902096 64.902096
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28 3712.0 85.528545 ... 83.526206 88.561477 28 3712.0 84.301560 ... 82.902362 80.692524
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[32 rows x 5 columns] [32 rows x 5 columns]
@@ -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 16.809 seconds) **Total running time of the script:** ( 2 minutes 7.920 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

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_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,12 +5,12 @@
Computation times Computation times
================= =================
**03:36.008** total execution time for **getting-started_tutorials** files: **03:27.125** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:16.809 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:07.920 | 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_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.194 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.008 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.011 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+

10
getting-started/tutorials/01-vector-add.html
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@@ -305,25 +305,25 @@ for different problem sizes.</p>
<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>vector-add-performance: <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
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4 65536.0 127.999995 127.999995 4 65536.0 127.999995 127.999995
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py"> <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
<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>

16
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:
N Triton Torch (native) Torch (jit) N Triton Torch (native) Torch (jit)
0 256.0 512.000001 546.133347 264.258068 0 256.0 512.000001 546.133347 282.482752
1 384.0 585.142862 585.142862 267.130429 1 384.0 585.142862 585.142862 267.130429
2 512.0 630.153853 606.814814 264.258068 2 512.0 655.360017 606.814814 264.258068
3 640.0 682.666684 640.000002 265.974036 3 640.0 682.666684 640.000002 269.473696
4 768.0 702.171410 664.216187 273.066663 4 768.0 702.171410 664.216187 273.066663
.. ... ... ... ... .. ... ... ... ...
93 12160.0 812.359066 406.179533 329.483481 93 12160.0 812.359066 405.755985 329.204728
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</pre></div> </pre></div>
@@ -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>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.191 seconds)</p> <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.194 seconds)</p>
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50
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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