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@@ -237,10 +237,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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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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**Total running time of the script:** ( 0 minutes 11.001 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -302,15 +302,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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N Triton Torch (native) Torch (jit)
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N Triton Torch (native) Torch (jit)
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0 256.0 512.000001 546.133347 186.181817
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0 256.0 512.000001 546.133347 186.181817
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@@ -328,7 +328,7 @@ In the above plot, we can see that:
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**Total running time of the script:** ( 1 minutes 12.589 seconds)
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**Total running time of the script:** ( 1 minutes 12.597 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -463,36 +463,36 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
|||||||
matmul-performance:
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matmul-performance:
|
||||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
M cuBLAS ... Triton Triton (+ LeakyReLU)
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||||||
0 256.0 2.978909 ... 2.978909 2.978909
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0 256.0 2.978909 ... 2.978909 2.978909
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||||||
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|
||||||
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|
||||||
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24 3328.0 82.369902 ... 84.596116 87.051143
|
||||||
25 3456.0 79.273916 ... 80.460651 79.040756
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25 3456.0 79.508447 ... 83.980802 84.864807
|
||||||
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||||||
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||||||
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|
||||||
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|
||||||
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|
||||||
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|
||||||
[31 rows x 5 columns]
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[31 rows x 5 columns]
|
||||||
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|
||||||
@@ -502,7 +502,7 @@ 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:** ( 1 minutes 59.549 seconds)
|
**Total running time of the script:** ( 1 minutes 57.433 seconds)
|
||||||
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|
||||||
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|
||||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||||
|
@@ -5,14 +5,14 @@
|
|||||||
|
|
||||||
Computation times
|
Computation times
|
||||||
=================
|
=================
|
||||||
**03:23.342** total execution time for **getting-started_tutorials** files:
|
**03:21.216** total execution time for **getting-started_tutorials** files:
|
||||||
|
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 01:59.549 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 01:57.433 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.589 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.597 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.019 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.001 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.185 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.185 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
|
@@ -326,10 +326,10 @@ for different problem sizes.</p>
|
|||||||
3 32768.0 76.800002 76.800002
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|
||||||
4 65536.0 127.999995 127.999995
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4 65536.0 127.999995 127.999995
|
||||||
5 131072.0 219.428568 219.428568
|
5 131072.0 219.428568 219.428568
|
||||||
6 262144.0 341.333321 341.333321
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6 262144.0 341.333321 384.000001
|
||||||
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7 524288.0 472.615390 472.615390
|
||||||
8 1048576.0 614.400016 614.400016
|
8 1048576.0 614.400016 614.400016
|
||||||
9 2097152.0 722.823517 722.823517
|
9 2097152.0 702.171410 722.823517
|
||||||
10 4194304.0 780.190482 780.190482
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||||||
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||||||
12 16777216.0 833.084721 833.084721
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12 16777216.0 833.084721 833.084721
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||||||
@@ -338,7 +338,7 @@ for different problem sizes.</p>
|
|||||||
15 134217728.0 851.577704 850.656574
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15 134217728.0 851.577704 850.656574
|
||||||
</pre></div>
|
</pre></div>
|
||||||
</div>
|
</div>
|
||||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.019 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.001 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-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>
|
||||||
|
@@ -388,15 +388,15 @@ We will then compare its performance against (1) <code class="code docutils lite
|
|||||||
N Triton Torch (native) Torch (jit)
|
N Triton Torch (native) Torch (jit)
|
||||||
0 256.0 512.000001 546.133347 186.181817
|
0 256.0 512.000001 546.133347 186.181817
|
||||||
1 384.0 585.142862 585.142862 153.600004
|
1 384.0 585.142862 585.142862 153.600004
|
||||||
2 512.0 630.153853 606.814814 154.566038
|
2 512.0 655.360017 585.142849 154.566038
|
||||||
3 640.0 682.666684 640.000002 160.000000
|
3 640.0 660.645170 640.000002 160.000000
|
||||||
4 768.0 702.171410 664.216187 163.839992
|
4 768.0 702.171410 664.216187 163.839992
|
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.. ... ... ... ...
|
.. ... ... ... ...
|
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93 12160.0 812.359066 406.179533 198.733401
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93 12160.0 812.359066 406.179533 199.038365
|
||||||
94 12288.0 812.429770 416.101597 199.096718
|
94 12288.0 812.429770 415.661740 199.298541
|
||||||
95 12416.0 810.840807 412.149375 198.655991
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95 12416.0 810.840807 412.149375 198.854847
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||||||
96 12544.0 810.925276 412.546756 198.913776
|
96 12544.0 810.925276 412.971190 199.209928
|
||||||
97 12672.0 811.007961 412.097543 198.873965
|
97 12672.0 811.007961 412.097543 199.167004
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[98 rows x 4 columns]
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[98 rows x 4 columns]
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</pre></div>
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</pre></div>
|
||||||
@@ -409,7 +409,7 @@ 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>
|
Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
|
||||||
</ul>
|
</ul>
|
||||||
</div></blockquote>
|
</div></blockquote>
|
||||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.589 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.597 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">
|
||||||
<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/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>
|
<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>
|
||||||
|
@@ -568,41 +568,41 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
|||||||
<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:
|
||||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||||
0 256.0 2.978909 ... 2.978909 2.978909
|
0 256.0 2.978909 ... 2.978909 2.978909
|
||||||
1 384.0 7.372800 ... 8.507077 8.507077
|
1 384.0 7.372800 ... 8.507077 7.899428
|
||||||
2 512.0 14.563555 ... 16.384000 16.384000
|
2 512.0 14.563555 ... 16.384000 16.384000
|
||||||
3 640.0 22.260869 ... 24.380953 24.380953
|
3 640.0 22.260869 ... 24.380953 24.380953
|
||||||
4 768.0 32.768000 ... 34.028308 34.028308
|
4 768.0 32.768000 ... 34.028308 34.028308
|
||||||
5 896.0 39.025776 ... 39.025776 35.994954
|
5 896.0 39.025776 ... 39.025776 39.025776
|
||||||
6 1024.0 49.932191 ... 52.428801 52.428801
|
6 1024.0 49.932191 ... 52.428801 52.428801
|
||||||
7 1152.0 44.566925 ... 46.656000 46.656000
|
7 1152.0 44.566925 ... 46.656000 46.656000
|
||||||
8 1280.0 51.200001 ... 56.888887 56.888887
|
8 1280.0 51.200001 ... 56.109587 56.109587
|
||||||
9 1408.0 64.138541 ... 63.392744 62.664092
|
9 1408.0 64.138541 ... 62.664092 62.664092
|
||||||
10 1536.0 80.430545 ... 76.933564 75.296679
|
10 1536.0 80.430545 ... 75.296679 75.296679
|
||||||
11 1664.0 63.372618 ... 62.061463 62.061463
|
11 1664.0 63.372618 ... 62.061463 62.061463
|
||||||
12 1792.0 72.983276 ... 62.441243 62.441243
|
12 1792.0 72.983276 ... 62.441243 62.441243
|
||||||
13 1920.0 69.120002 ... 70.530615 70.172588
|
13 1920.0 69.120002 ... 67.434145 70.172588
|
||||||
14 2048.0 73.908442 ... 74.898285 74.565406
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14 2048.0 73.908442 ... 74.565406 74.565406
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15 2176.0 83.500614 ... 81.143743 78.916269
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15 2176.0 83.155572 ... 80.494588 81.143743
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16 2304.0 68.056616 ... 73.501144 72.828879
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16 2304.0 68.251065 ... 73.501144 73.501144
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17 2432.0 71.125224 ... 82.388456 81.433227
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17 2432.0 71.305746 ... 71.852848 82.147552
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18 2560.0 77.833728 ... 77.283019 75.851852
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18 2560.0 77.649287 ... 76.560748 75.676673
|
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19 2688.0 81.752274 ... 83.369354 80.708630
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19 2688.0 83.922689 ... 79.524227 83.737433
|
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20 2816.0 83.392363 ... 79.587973 78.584162
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20 2816.0 80.617762 ... 79.011245 77.330158
|
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21 2944.0 79.865439 ... 78.605729 77.747321
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21 2944.0 81.832567 ... 77.626218 77.747321
|
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22 3072.0 80.890151 ... 83.638266 83.025078
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22 3072.0 82.540970 ... 83.638266 84.135370
|
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23 3200.0 81.528664 ... 90.140846 86.603520
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23 3200.0 84.321474 ... 89.260810 88.642656
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24 3328.0 83.034941 ... 87.262177 82.558825
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24 3328.0 82.369902 ... 84.596116 87.051143
|
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25 3456.0 79.273916 ... 80.460651 79.040756
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25 3456.0 79.508447 ... 83.980802 84.864807
|
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26 3584.0 87.466332 ... 93.080114 85.876512
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26 3584.0 84.905939 ... 86.707226 91.007486
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27 3712.0 85.091436 ... 82.698613 81.950243
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27 3712.0 85.822459 ... 79.853993 84.017953
|
||||||
28 3840.0 81.019778 ... 86.063813 86.197974
|
28 3840.0 84.874902 ... 87.355452 82.778440
|
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29 3968.0 93.219206 ... 87.850207 86.973584
|
29 3968.0 88.167587 ... 80.278903 80.703662
|
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30 4096.0 93.727466 ... 84.894196 90.018600
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30 4096.0 93.596744 ... 89.181212 89.062862
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[31 rows x 5 columns]
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 59.549 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 57.433 seconds)</p>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
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<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>
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<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>
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<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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<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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<p><strong>03:23.342</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<p><strong>03:21.216</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<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>
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<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>
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<td><p>01:59.549</p></td>
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<td><p>01:57.433</p></td>
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<td><p>0.0 MB</p></td>
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<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>
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<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>
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<td><p>01:12.589</p></td>
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<td><p>0.0 MB</p></td>
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<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>
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<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>
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<td><p>00:11.019</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="04-low-memory-dropout.html#sphx-glr-getting-started-tutorials-04-low-memory-dropout-py"><span class="std std-ref">Low-Memory Dropout</span></a> (<code class="docutils literal notranslate"><span class="pre">04-low-memory-dropout.py</span></code>)</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="04-low-memory-dropout.html#sphx-glr-getting-started-tutorials-04-low-memory-dropout-py"><span class="std std-ref">Low-Memory Dropout</span></a> (<code class="docutils literal notranslate"><span class="pre">04-low-memory-dropout.py</span></code>)</p></td>
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