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@@ -234,7 +234,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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6 262144.0 341.333321 384.000001
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@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 11.005 seconds)
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**Total running time of the script:** ( 0 minutes 11.026 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
|
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@@ -306,11 +306,11 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
|
||||
3 640.0 682.666684 640.000002 160.000000
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4 768.0 702.171410 664.216187 163.839992
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.. ... ... ... ...
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95 12416.0 810.840807 412.149375 198.954424
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93 12160.0 812.359066 405.755985 198.936606
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94 12288.0 812.429770 415.661740 199.197579
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96 12544.0 810.925276 412.971190 199.111113
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97 12672.0 811.007961 412.097543 199.069228
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[98 rows x 4 columns]
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@@ -328,7 +328,7 @@ In the above plot, we can see that:
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 1 minutes 12.592 seconds)
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**Total running time of the script:** ( 1 minutes 12.593 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
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@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
||||
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||||
matmul-performance:
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 256.0 2.730667 ... 3.276800 2.978909
|
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1 384.0 7.372800 ... 8.507077 7.899428
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1 384.0 7.372800 ... 7.899428 7.899428
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6 1024.0 49.932191 ... 52.428801 52.428801
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|
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10 1536.0 79.526831 ... 76.106321 76.106321
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11 1664.0 62.929456 ... 62.492442 62.061463
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13 1920.0 69.467336 ... 70.530615 70.530615
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9 1408.0 64.138541 ... 65.684049 58.621246
|
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10 1536.0 79.526831 ... 75.296679 75.296679
|
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11 1664.0 63.372618 ... 62.492442 62.492442
|
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12 1792.0 72.983276 ... 69.810085 69.810085
|
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13 1920.0 69.467336 ... 67.434145 70.530615
|
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14 2048.0 73.908442 ... 75.234154 74.898285
|
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|
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20 2816.0 82.446516 ... 79.443003 77.882512
|
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|
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22 3072.0 80.890151 ... 83.886078 83.514905
|
||||
23 3200.0 81.321474 ... 89.260810 88.642656
|
||||
24 3328.0 82.939284 ... 86.841126 84.200347
|
||||
25 3456.0 81.932484 ... 80.702267 85.043848
|
||||
26 3584.0 87.296493 ... 92.126428 85.392267
|
||||
27 3712.0 85.163978 ... 82.084920 87.018592
|
||||
28 3840.0 85.070769 ... 87.632333 88.332269
|
||||
29 3968.0 92.864488 ... 84.038524 83.980685
|
||||
30 4096.0 93.727466 ... 86.424811 85.271746
|
||||
15 2176.0 83.500614 ... 80.173899 79.855747
|
||||
16 2304.0 68.446623 ... 73.501144 73.275679
|
||||
17 2432.0 71.305746 ... 80.041209 80.041209
|
||||
18 2560.0 77.649287 ... 76.560748 76.382283
|
||||
19 2688.0 81.752274 ... 81.752274 82.823267
|
||||
20 2816.0 83.552120 ... 79.298560 78.301990
|
||||
21 2944.0 83.060049 ... 80.122235 78.605729
|
||||
22 3072.0 82.540970 ... 83.025078 82.540970
|
||||
23 3200.0 81.424937 ... 86.253369 88.275863
|
||||
24 3328.0 83.419811 ... 82.088138 84.496824
|
||||
25 3456.0 81.766291 ... 85.133652 83.545665
|
||||
26 3584.0 85.715344 ... 95.553020 94.349836
|
||||
27 3712.0 80.627396 ... 89.035062 88.718781
|
||||
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|
||||
29 3968.0 86.173193 ... 87.472354 87.409694
|
||||
30 4096.0 93.531519 ... 89.837839 86.816123
|
||||
|
||||
[31 rows x 5 columns]
|
||||
|
||||
@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 2 minutes 6.363 seconds)
|
||||
**Total running time of the script:** ( 2 minutes 19.830 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||
|
@@ -5,12 +5,12 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**03:29.960** total execution time for **getting-started_tutorials** files:
|
||||
**03:43.449** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:06.363 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:19.830 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.592 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.593 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.005 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.026 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -322,7 +322,7 @@ for different problem sizes.</p>
|
||||
0 4096.0 9.600000 9.600000
|
||||
1 8192.0 19.200000 19.200000
|
||||
2 16384.0 38.400001 38.400001
|
||||
3 32768.0 63.999998 63.999998
|
||||
3 32768.0 63.999998 76.800002
|
||||
4 65536.0 127.999995 127.999995
|
||||
5 131072.0 219.428568 219.428568
|
||||
6 262144.0 341.333321 384.000001
|
||||
@@ -337,7 +337,7 @@ for different problem sizes.</p>
|
||||
15 134217728.0 851.577704 850.656574
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.005 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.026 seconds)</p>
|
||||
<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">
|
||||
<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>
|
||||
|
@@ -391,11 +391,11 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
3 640.0 682.666684 640.000002 160.000000
|
||||
4 768.0 702.171410 664.216187 163.839992
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 406.179533 199.038365
|
||||
94 12288.0 812.429770 415.661740 199.298541
|
||||
95 12416.0 810.840807 412.149375 198.954424
|
||||
96 12544.0 810.925276 412.971190 199.209928
|
||||
97 12672.0 809.389265 412.097543 199.264875
|
||||
93 12160.0 812.359066 405.755985 198.936606
|
||||
94 12288.0 812.429770 415.661740 199.197579
|
||||
95 12416.0 810.840807 412.149375 198.755369
|
||||
96 12544.0 810.925276 412.971190 199.111113
|
||||
97 12672.0 811.007961 412.097543 199.069228
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -408,7 +408,7 @@ 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>
|
||||
</ul>
|
||||
</div></blockquote>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.592 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.593 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-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.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">02-fused-softmax.py</span></code></a></p>
|
||||
|
@@ -566,42 +566,42 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 256.0 2.730667 ... 3.276800 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 7.899428
|
||||
2 512.0 14.563555 ... 15.420235 15.420235
|
||||
0 256.0 2.730667 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 7.899428 7.899428
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
5 896.0 39.025776 ... 40.140799 39.025776
|
||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
||||
6 1024.0 49.932191 ... 52.428801 52.428801
|
||||
7 1152.0 44.566925 ... 46.656000 46.656000
|
||||
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||
9 1408.0 64.138541 ... 64.902096 64.138541
|
||||
10 1536.0 79.526831 ... 76.106321 76.106321
|
||||
11 1664.0 62.929456 ... 62.492442 62.061463
|
||||
12 1792.0 72.983276 ... 70.246402 69.810085
|
||||
13 1920.0 69.467336 ... 70.530615 70.530615
|
||||
9 1408.0 64.138541 ... 65.684049 58.621246
|
||||
10 1536.0 79.526831 ... 75.296679 75.296679
|
||||
11 1664.0 63.372618 ... 62.492442 62.492442
|
||||
12 1792.0 72.983276 ... 69.810085 69.810085
|
||||
13 1920.0 69.467336 ... 67.434145 70.530615
|
||||
14 2048.0 73.908442 ... 75.234154 74.898285
|
||||
15 2176.0 83.500614 ... 80.173899 78.302130
|
||||
16 2304.0 68.251065 ... 73.275679 73.275679
|
||||
17 2432.0 71.125224 ... 81.669953 81.908060
|
||||
18 2560.0 77.649287 ... 76.740048 76.560748
|
||||
19 2688.0 83.004501 ... 80.708630 83.552988
|
||||
20 2816.0 82.446516 ... 79.443003 77.882512
|
||||
21 2944.0 81.967162 ... 80.122235 78.979452
|
||||
22 3072.0 80.890151 ... 83.886078 83.514905
|
||||
23 3200.0 81.321474 ... 89.260810 88.642656
|
||||
24 3328.0 82.939284 ... 86.841126 84.200347
|
||||
25 3456.0 81.932484 ... 80.702267 85.043848
|
||||
26 3584.0 87.296493 ... 92.126428 85.392267
|
||||
27 3712.0 85.163978 ... 82.084920 87.018592
|
||||
28 3840.0 85.070769 ... 87.632333 88.332269
|
||||
29 3968.0 92.864488 ... 84.038524 83.980685
|
||||
30 4096.0 93.727466 ... 86.424811 85.271746
|
||||
15 2176.0 83.500614 ... 80.173899 79.855747
|
||||
16 2304.0 68.446623 ... 73.501144 73.275679
|
||||
17 2432.0 71.305746 ... 80.041209 80.041209
|
||||
18 2560.0 77.649287 ... 76.560748 76.382283
|
||||
19 2688.0 81.752274 ... 81.752274 82.823267
|
||||
20 2816.0 83.552120 ... 79.298560 78.301990
|
||||
21 2944.0 83.060049 ... 80.122235 78.605729
|
||||
22 3072.0 82.540970 ... 83.025078 82.540970
|
||||
23 3200.0 81.424937 ... 86.253369 88.275863
|
||||
24 3328.0 83.419811 ... 82.088138 84.496824
|
||||
25 3456.0 81.766291 ... 85.133652 83.545665
|
||||
26 3584.0 85.715344 ... 95.553020 94.349836
|
||||
27 3712.0 80.627396 ... 89.035062 88.718781
|
||||
28 3840.0 85.333335 ... 87.011801 84.679936
|
||||
29 3968.0 86.173193 ... 87.472354 87.409694
|
||||
30 4096.0 93.531519 ... 89.837839 86.816123
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 6.363 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 19.830 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.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">03-matrix-multiplication.py</span></code></a></p>
|
||||
|
@@ -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>
|
||||
<p><strong>03:29.960</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>03:43.449</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
||||
<colgroup>
|
||||
<col style="width: 85%" />
|
||||
@@ -183,15 +183,15 @@
|
||||
</colgroup>
|
||||
<tbody>
|
||||
<tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
|
||||
<td><p>02:06.363</p></td>
|
||||
<td><p>02:19.830</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><td><p><a class="reference internal" href="02-fused-softmax.html#sphx-glr-getting-started-tutorials-02-fused-softmax-py"><span class="std std-ref">Fused Softmax</span></a> (<code class="docutils literal notranslate"><span class="pre">02-fused-softmax.py</span></code>)</p></td>
|
||||
<td><p>01:12.592</p></td>
|
||||
<td><p>01:12.593</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-odd"><td><p><a class="reference internal" href="01-vector-add.html#sphx-glr-getting-started-tutorials-01-vector-add-py"><span class="std std-ref">Vector Addition</span></a> (<code class="docutils literal notranslate"><span class="pre">01-vector-add.py</span></code>)</p></td>
|
||||
<td><p>00:11.005</p></td>
|
||||
<td><p>00:11.026</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
|