[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: e6932efcd3b2847d50e0103383dfb529
+config: 9c050d74773aa57b90cd2af2159283a5
 tags: 645f666f9bcd5a90fca523b33c5a78b7

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

@@ -235,7 +235,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the 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   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  384.000001  384.000001
@@ -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  40.274 seconds)
+   **Total running time of the script:** ( 1 minutes  41.422 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   190.511628
+    0     256.0  512.000001      546.133347   188.321838
     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   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.733401
-    94  12288.0  814.111783      415.661740   198.995960
-    95  12416.0  814.163950      412.149375   198.556711
-    96  12544.0  814.214963      413.396498   198.913776
-    97  12672.0  814.265046      412.097543   198.873965
+    93  12160.0  814.058574      406.179533   198.834951
+    94  12288.0  815.800825      415.222812   199.197579
+    95  12416.0  814.163950      412.149375   198.755369
+    96  12544.0  814.214963      412.971190   199.012395
+    97  12672.0  814.265046      412.097543   198.971549
 
     [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  23.079 seconds)
+   **Total running time of the script:** ( 3 minutes  18.383 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  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  15.420235             16.384000
-    3    640.0  22.260869  ...  24.380953             24.380953
+    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             16.384000
+    3    640.0  23.272727  ...  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  ...  52.428801             52.428801
+    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  80.430545  ...  79.526831             78.643199
     11  1664.0  62.929456  ...  62.492442             62.061463
     12  1792.0  72.512412  ...  72.047592             71.588687
-    13  1920.0  68.776119  ...  70.172588             70.172588
-    14  2048.0  73.262953  ...  76.608294             76.260072
-    15  2176.0  83.155572  ...  85.998493             85.632545
-    16  2304.0  68.643310  ...  76.563695             76.319081
-    17  2432.0  71.487187  ...  84.621881             85.134737
-    18  2560.0  78.019048  ...  81.310171             81.108913
-    19  2688.0  83.369354  ...  89.254248             89.464755
-    20  2816.0  81.218262  ...  82.135981             83.392363
-    21  2944.0  82.102191  ...  82.509987             82.373605
-    22  3072.0  81.707223  ...  86.845249             84.135370
-    23  3200.0  84.880639  ...  87.795257             90.780140
-    24  3328.0  79.990330  ...  84.101981             84.596116
-    25  3456.0  81.600781  ...  90.943675             84.775569
-    26  3584.0  85.715344  ...  93.661869             95.047985
-    27  3712.0  81.615477  ...  88.365630             83.982636
-    28  3840.0  82.592983  ...  87.286505             91.322872
-    29  3968.0  86.973584  ...  90.926929             83.982489
-    30  4096.0  92.500158  ...  88.417474             85.271746
+    13  1920.0  69.120002  ...  70.172588             70.172588
+    14  2048.0  73.262953  ...  76.608294             76.608294
+    15  2176.0  83.155572  ...  85.998493             85.269692
+    16  2304.0  68.643310  ...  76.319081             76.319081
+    17  2432.0  71.305746  ...  74.719317             85.134737
+    18  2560.0  78.019048  ...  80.709358             80.511054
+    19  2688.0  83.552988  ...  89.888756             89.676257
+    20  2816.0  82.916747  ...  83.392363             82.135981
+    21  2944.0  82.237674  ...  82.646820             82.921853
+    22  3072.0  81.707223  ...  86.978653             84.010539
+    23  3200.0  84.993363  ...  88.033012             94.048494
+    24  3328.0  79.990330  ...  84.003845             84.496824
+    25  3456.0  81.600781  ...  85.585527             90.281712
+    26  3584.0  87.381330  ...  98.591437             95.654673
+    27  3712.0  84.159518  ...  87.475786             85.418853
+    28  3840.0  83.781816  ...  91.473945             84.582788
+    29  3968.0  90.724116  ...  85.093402             90.455103
+    30  4096.0  86.313653  ...  87.438257             91.678778
 
     [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:** ( 6 minutes  4.120 seconds)
+   **Total running time of the script:** ( 5 minutes  59.778 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

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

@@ -39,35 +39,35 @@ Layer Normalization
     layer-norm-backward:
               N      Triton       Torch        Apex
     0    1024.0  311.088617   98.303995  307.200008
-    1    1536.0  347.773587  134.050910  341.333333
-    2    2048.0  420.102553  161.684218  325.509933
+    1    1536.0  347.773587  134.540150  341.333333
+    2    2048.0  423.724127  161.684218  334.367350
     3    2560.0  458.507457  181.775141  326.808501
     4    3072.0  511.999982  192.501302  319.168834
     5    3584.0  551.384634  208.271186  310.527060
-    6    4096.0  564.965515  220.412561  298.796351
-    7    4608.0  504.986315  232.825259  287.251954
-    8    5120.0  529.655159  242.845844  287.102804
-    9    5632.0  542.843364  243.545956  289.438969
-    10   6144.0  546.133354  248.661056  286.879370
-    11   6656.0  532.479975  256.000009  285.767438
+    6    4096.0  568.231237  220.412561  293.444785
+    7    4608.0  507.302750  232.825259  291.031570
+    8    5120.0  531.948056  242.845844  287.102804
+    9    5632.0  545.032265  243.545956  289.438969
+    10   6144.0  548.163546  248.661056  286.879370
+    11   6656.0  534.260858  256.000009  285.767438
     12   7168.0  507.469040  260.654538  286.242939
-    13   7680.0  479.999983  262.190612  278.850215
-    14   8192.0  462.607053  267.130429  284.939124
-    15   8704.0  417.791980  267.815384  284.599455
-    16   9216.0  431.157889  272.394084  288.751954
-    17   9728.0  439.683593  280.278512  290.027323
-    18  10240.0  449.287041  286.433562  290.153487
-    19  10752.0  427.231788  247.172406  290.922209
+    13   7680.0  479.999983  262.564106  279.696505
+    14   8192.0  462.607053  267.493874  284.526763
+    15   8704.0  418.629245  267.815384  285.377055
+    16   9216.0  432.000001  272.729961  289.129410
+    17   9728.0  439.683593  280.615388  290.027323
+    18  10240.0  450.109870  286.767793  290.496460
+    19  10752.0  427.940303  247.172406  290.922209
     20  11264.0  427.071098  245.760001  286.676558
     21  11776.0  423.089806  249.667843  288.981596
-    22  12288.0  419.504980  254.893699  294.323369
-    23  12800.0  414.016170  253.674644  288.180121
-    24  13312.0  411.181478  252.759501  289.916513
-    25  13824.0  404.604870  257.190689  292.056329
-    26  14336.0  393.215988  254.485198  286.719986
+    22  12288.0  419.504980  254.673582  294.323369
+    23  12800.0  414.016170  253.674644  289.811310
+    24  13312.0  411.181478  252.759501  290.179836
+    25  13824.0  404.604870  257.190689  292.313649
+    26  14336.0  393.440813  254.485198  286.959121
     27  14848.0  385.245405  257.665934  289.246765
-    28  15360.0  373.874218  257.970599  286.211174
-    29  15872.0  371.274849  261.806182  289.679087
+    28  15360.0  373.874218  257.970599  287.326580
+    29  15872.0  371.274849  261.806182  290.120338
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.351 seconds)
+   **Total running time of the script:** ( 2 minutes  10.738 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
 =================
-**13:20.304** total execution time for **getting-started_tutorials** files:
+**13:10.803** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.120 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:59.778 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.079 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:18.383 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.351 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:10.738 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.274 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.422 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.481 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+

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

@@ -325,7 +325,7 @@ 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   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  384.000001  384.000001
@@ -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  40.274 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.422 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   190.511628
+0     256.0  512.000001      546.133347   188.321838
 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   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.733401
-94  12288.0  814.111783      415.661740   198.995960
-95  12416.0  814.163950      412.149375   198.556711
-96  12544.0  814.214963      413.396498   198.913776
-97  12672.0  814.265046      412.097543   198.873965
+93  12160.0  814.058574      406.179533   198.834951
+94  12288.0  815.800825      415.222812   199.197579
+95  12416.0  814.163950      412.149375   198.755369
+96  12544.0  814.214963      412.971190   199.012395
+97  12672.0  814.265046      412.097543   198.971549
 
 [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  23.079 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  18.383 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  ...   2.978909              2.978909
-1    384.0   7.372800  ...   8.507077              8.507077
-2    512.0  14.563555  ...  15.420235             16.384000
-3    640.0  22.260869  ...  24.380953             24.380953
+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             16.384000
+3    640.0  23.272727  ...  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  ...  52.428801             52.428801
+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
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-28  3840.0  82.592983  ...  87.286505             91.322872
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+22  3072.0  81.707223  ...  86.978653             84.010539
+23  3200.0  84.993363  ...  88.033012             94.048494
+24  3328.0  79.990330  ...  84.003845             84.496824
+25  3456.0  81.600781  ...  85.585527             90.281712
+26  3584.0  87.381330  ...  98.591437             95.654673
+27  3712.0  84.159518  ...  87.475786             85.418853
+28  3840.0  83.781816  ...  91.473945             84.582788
+29  3968.0  90.724116  ...  85.093402             90.455103
+30  4096.0  86.313653  ...  87.438257             91.678778
 
 [31 rows x 5 columns]
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