[GH-PAGES] Updated website

master/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 8eee1d5fd8e47ad721214965971ced11
+config: d87e0e91ea31c1a946fae22fbba13feb
 tags: 645f666f9bcd5a90fca523b33c5a78b7

master/_sources/getting-started/tutorials/01-vector-add.rst.txt

@@ -238,7 +238,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  384.000001
+    6      262144.0  341.333321  341.333321
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  41.632 seconds)
+   **Total running time of the script:** ( 1 minutes  40.635 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt

@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   188.321838
+    0     256.0  512.000001      546.133347   192.752942
     1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
     3     640.0  706.206879      640.000002   160.000000
-    4     768.0  722.823517      664.216187   161.684218
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.834951
-    94  12288.0  814.111783      415.222812   199.096718
-    95  12416.0  814.163950      412.149375   198.655991
-    96  12544.0  814.214963      412.971190   198.913776
-    97  12672.0  814.265046      412.097543   199.069228
+    93  12160.0  814.058574      406.179533   198.530610
+    94  12288.0  814.111783      415.661740   198.895304
+    95  12416.0  814.163950      412.149375   198.457532
+    96  12544.0  814.214963      412.971190   198.618504
+    97  12672.0  814.265046      411.679167   198.776477
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  20.741 seconds)
+   **Total running time of the script:** ( 3 minutes  21.561 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt

@@ -458,37 +458,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     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  ...  16.384000             15.420235
-    3    640.0  22.260869  ...  24.380953             23.272727
+    0    256.0   2.978909  ...   3.276800              3.276800
+    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  37.971025  ...  39.025776             39.025776
-    6   1024.0  49.932191  ...  52.428801             52.428801
+    5    896.0  39.025776  ...  40.140799             39.025776
+    6   1024.0  51.150050  ...  52.428801             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
     8   1280.0  51.200001  ...  56.888887             56.888887
     9   1408.0  64.138541  ...  67.305878             66.485074
-    10  1536.0  79.526831  ...  79.526831             78.643199
-    11  1664.0  62.929456  ...  62.929456             62.492442
-    12  1792.0  72.983276  ...  72.512412             72.047592
-    13  1920.0  69.467336  ...  70.172588             70.172588
+    10  1536.0  80.430545  ...  79.526831             78.643199
+    11  1664.0  62.929456  ...  62.492442             62.061463
+    12  1792.0  72.512412  ...  72.047592             72.047592
+    13  1920.0  68.776119  ...  70.172588             69.818184
     14  2048.0  73.262953  ...  76.608294             76.260072
-    15  2176.0  83.155572  ...  85.998493             85.632545
-    16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.487187  ...  84.877538             84.877538
-    18  2560.0  77.833728  ...  80.908642             80.709358
-    19  2688.0  83.552988  ...  89.888756             89.254248
-    20  2816.0  83.074685  ...  82.602666             82.290955
-    21  2944.0  82.102191  ...  82.102191             82.237674
-    22  3072.0  82.301023  ...  88.542777             88.335577
-    23  3200.0  83.989503  ...  95.380032             94.955488
-    24  3328.0  83.226931  ...  84.695641             84.795401
-    25  3456.0  80.220468  ...  84.156124             88.497878
-    26  3584.0  82.189576  ...  89.646457             93.370085
-    27  3712.0  85.748791  ...  86.264806             93.014284
-    28  3840.0  81.859361  ...  87.355452             91.398346
-    29  3968.0  85.991957  ...  91.369474             84.094627
-    30  4096.0  93.466385  ...  87.381330             84.254693
+    15  2176.0  83.155572  ...  85.998493             85.269692
+    16  2304.0  68.446623  ...  76.319081             76.319081
+    17  2432.0  71.487187  ...  74.918570             84.621881
+    18  2560.0  77.833728  ...  81.108913             80.908642
+    19  2688.0  83.737433  ...  89.888756             89.676257
+    20  2816.0  82.290955  ...  82.916747             82.602666
+    21  2944.0  82.102191  ...  79.865439             82.921853
+    22  3072.0  81.355034  ...  87.516392             86.184329
+    23  3200.0  83.224970  ...  90.909090             89.260810
+    24  3328.0  80.798314  ...  83.226931             84.596116
+    25  3456.0  82.266905  ...  90.382926             90.994998
+    26  3584.0  84.111686  ...  92.600816             94.448944
+    27  3712.0  85.528545  ...  85.163978             88.170647
+    28  3840.0  80.197243  ...  86.197974             91.473945
+    29  3968.0  85.991957  ...  90.791620             85.093402
+    30  4096.0  92.852115  ...  82.493991             82.241256
 
     [31 rows x 5 columns]
 
@@ -498,7 +498,7 @@ 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:** ( 5 minutes  54.058 seconds)
+   **Total running time of the script:** ( 6 minutes  0.809 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt

@@ -240,7 +240,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.497 seconds)
+   **Total running time of the script:** ( 0 minutes  0.493 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

master/_sources/getting-started/tutorials/05-layer-norm.rst.txt

@@ -38,35 +38,35 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  307.200008   98.303995  303.407414
-    1    1536.0  347.773587  134.540150  341.333333
+    0    1024.0  311.088617   98.303995  307.200008
+    1    1536.0  347.773587  134.050910  344.523365
     2    2048.0  420.102553  161.684218  334.367350
-    3    2560.0  455.111129  181.775141  330.322572
-    4    3072.0  511.999982  192.501302  320.556515
-    5    3584.0  547.872604  207.768111  311.652167
-    6    4096.0  564.965515  220.412561  297.890900
-    7    4608.0  507.302750  232.825259  286.507772
+    3    2560.0  455.111129  181.775141  328.556154
+    4    3072.0  511.999982  192.501302  321.956335
+    5    3584.0  547.872604  208.271186  311.652167
+    6    4096.0  568.231237  220.412561  297.890900
+    7    4608.0  504.986315  233.316456  287.251954
     8    5120.0  527.381977  242.845844  285.104413
-    9    5632.0  542.843364  243.545956  290.060087
-    10   6144.0  546.133354  248.661056  286.879370
-    11   6656.0  534.260858  256.000009  285.767438
+    9    5632.0  545.032265  243.545956  289.438969
+    10   6144.0  546.133354  248.661056  286.322318
+    11   6656.0  534.260858  256.000009  286.279570
     12   7168.0  505.976473  260.654538  286.242939
-    13   7680.0  482.513091  262.564106  278.850215
-    14   8192.0  462.607053  267.130429  284.939124
-    15   8704.0  418.629245  267.815384  285.377055
+    13   7680.0  482.513091  262.564106  279.272719
+    14   8192.0  463.698115  267.493874  284.526763
+    15   8704.0  418.629245  267.815384  284.987724
     16   9216.0  432.845409  272.394084  288.751954
-    17   9728.0  439.683593  280.615388  289.667485
-    18  10240.0  449.287041  286.433562  290.153487
-    19  10752.0  425.821771  246.935876  290.922209
-    20  11264.0  427.071098  245.536784  286.676558
-    21  11776.0  423.089806  249.667843  288.981596
-    22  12288.0  420.102570  254.453844  294.323369
-    23  12800.0  414.016170  253.465340  288.180121
-    24  13312.0  412.242569  252.759501  289.916513
+    17   9728.0  438.857162  280.446849  290.027323
+    18  10240.0  449.287041  286.767793  290.840246
+    19  10752.0  426.525614  247.172406  290.922209
+    20  11264.0  427.071098  245.760001  286.676558
+    21  11776.0  423.724129  249.888595  288.981596
+    22  12288.0  420.102570  254.673582  294.617366
+    23  12800.0  413.458944  253.674644  288.450715
+    24  13312.0  411.711355  252.759501  289.916513
     25  13824.0  405.594132  257.390218  292.056329
-    26  14336.0  394.568805  254.485198  286.719986
-    27  14848.0  386.080180  257.479779  289.246765
-    28  15360.0  373.495460  257.790220  287.550706
+    26  14336.0  395.021816  254.297107  286.719986
+    27  14848.0  386.498925  257.665934  289.246765
+    28  15360.0  373.117425  257.970599  287.326580
     29  15872.0  371.274849  261.806182  289.899545
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.350 seconds)
+   **Total running time of the script:** ( 2 minutes  12.386 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

master/_sources/getting-started/tutorials/sg_execution_times.rst.txt

@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**13:09.277** total execution time for **getting-started_tutorials** files:
+**13:15.884** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:54.058 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:00.809 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:20.741 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.561 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.350 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.386 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.632 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.635 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.497 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.493 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+

master/getting-started/tutorials/01-vector-add.html

@@ -328,7 +328,7 @@ for different problem sizes.</p>
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  384.000001
+6      262144.0  341.333321  341.333321
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
@@ -340,7 +340,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.632 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.635 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>

master/getting-started/tutorials/02-fused-softmax.html

@@ -369,17 +369,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <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:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   188.321838
+0     256.0  512.000001      546.133347   192.752942
 1     384.0  614.400016      585.142862   153.600004
 2     512.0  655.360017      606.814814   154.566038
 3     640.0  706.206879      640.000002   160.000000
-4     768.0  722.823517      664.216187   161.684218
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.834951
-94  12288.0  814.111783      415.222812   199.096718
-95  12416.0  814.163950      412.149375   198.655991
-96  12544.0  814.214963      412.971190   198.913776
-97  12672.0  814.265046      412.097543   199.069228
+93  12160.0  814.058574      406.179533   198.530610
+94  12288.0  814.111783      415.661740   198.895304
+95  12416.0  814.163950      412.149375   198.457532
+96  12544.0  814.214963      412.971190   198.618504
+97  12672.0  814.265046      411.679167   198.776477
 
 [98 rows x 4 columns]
 </pre></div>
@@ -392,7 +392,7 @@ 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> ( 3 minutes  20.741 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.561 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>

master/getting-started/tutorials/03-matrix-multiplication.html

@@ -564,42 +564,42 @@ 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  ...  16.384000             15.420235
-3    640.0  22.260869  ...  24.380953             23.272727
+0    256.0   2.978909  ...   3.276800              3.276800
+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  37.971025  ...  39.025776             39.025776
-6   1024.0  49.932191  ...  52.428801             52.428801
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+6   1024.0  51.150050  ...  52.428801             52.428801
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 8   1280.0  51.200001  ...  56.888887             56.888887
 9   1408.0  64.138541  ...  67.305878             66.485074
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-12  1792.0  72.983276  ...  72.512412             72.047592
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+13  1920.0  68.776119  ...  70.172588             69.818184
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-15  2176.0  83.155572  ...  85.998493             85.632545
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-17  2432.0  71.487187  ...  84.877538             84.877538
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-21  2944.0  82.102191  ...  82.102191             82.237674
-22  3072.0  82.301023  ...  88.542777             88.335577
-23  3200.0  83.989503  ...  95.380032             94.955488
-24  3328.0  83.226931  ...  84.695641             84.795401
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-26  3584.0  82.189576  ...  89.646457             93.370085
-27  3712.0  85.748791  ...  86.264806             93.014284
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