[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: 4e6a6a46ebd09a395d46365c942efe4a
+config: e6932efcd3b2847d50e0103383dfb529
 tags: 645f666f9bcd5a90fca523b33c5a78b7

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

@@ -235,17 +235,17 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   76.800002   76.800002
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  384.000001
+    6      262144.0  384.000001  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  843.811163
+    13   33554432.0  842.004273  842.004273
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -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  42.825 seconds)
+   **Total running time of the script:** ( 1 minutes  40.274 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   190.511628
     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  815.765209      406.179533   198.631953
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-    95  12416.0  814.163950      412.149375   198.457532
+    95  12416.0  814.163950      412.149375   198.556711
-    96  12544.0  814.214963      412.971190   198.716830
+    96  12544.0  814.214963      413.396498   198.913776
-    97  12672.0  814.265046      411.679167   198.679085
+    97  12672.0  814.265046      412.097543   198.873965
 
     [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  22.274 seconds)
+   **Total running time of the script:** ( 3 minutes  23.079 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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

@@ -458,9 +458,9 @@ 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   2.978909  ...   2.978909              2.978909
+    0    256.0   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              8.192000
+    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             16.384000
+    2    512.0  14.563555  ...  15.420235             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
@@ -468,27 +468,27 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     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
+    10  1536.0  80.430545  ...  79.526831             78.643199
     11  1664.0  62.929456  ...  62.492442             62.061463
-    12  1792.0  72.512412  ...  71.588687             72.047592
+    12  1792.0  72.512412  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.172588             70.172588
+    13  1920.0  68.776119  ...  70.172588             70.172588
-    14  2048.0  73.908442  ...  76.959706             76.260072
+    14  2048.0  73.262953  ...  76.608294             76.260072
-    15  2176.0  83.155572  ...  85.998493             85.998493
+    15  2176.0  83.155572  ...  85.998493             85.632545
-    16  2304.0  68.643310  ...  76.809875             76.076024
+    16  2304.0  68.643310  ...  76.563695             76.319081
-    17  2432.0  71.125224  ...  84.877538             85.134737
+    17  2432.0  71.487187  ...  84.621881             85.134737
-    18  2560.0  78.019048  ...  80.908642             81.108913
+    18  2560.0  78.019048  ...  81.310171             81.108913
-    19  2688.0  82.642823  ...  89.995386             89.464755
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-    20  2816.0  83.074685  ...  83.552120             82.680963
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-    26  3584.0  87.466332  ...  97.734120             98.160909
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-    27  3712.0  79.917877  ...  86.942857             89.035062
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-    28  3840.0  84.292684  ...  91.473945             86.467555
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+    30  4096.0  92.500158  ...  88.417474             85.271746
 
     [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  8.357 seconds)
+   **Total running time of the script:** ( 6 minutes  4.120 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  0.489 seconds)
+   **Total running time of the script:** ( 0 minutes  0.481 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.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  134.540150  341.333333
+    1    1536.0  347.773587  134.050910  341.333333
-    2    2048.0  420.102553  161.684218  334.367350
+    2    2048.0  420.102553  161.684218  325.509933
-    3    2560.0  458.507457  181.775141  330.322572
+    3    2560.0  458.507457  181.775141  326.808501
-    4    3072.0  511.999982  192.501302  320.556515
+    4    3072.0  511.999982  192.501302  319.168834
-    5    3584.0  547.872604  208.271186  311.652167
+    5    3584.0  551.384634  208.271186  310.527060
-    6    4096.0  568.231237  220.412561  297.890900
+    6    4096.0  564.965515  220.412561  298.796351
-    7    4608.0  504.986315  232.825259  286.507772
+    7    4608.0  504.986315  232.825259  287.251954
-    8    5120.0  529.655159  242.845844  285.104413
+    8    5120.0  529.655159  242.845844  287.102804
-    9    5632.0  545.032265  243.545956  289.438969
+    9    5632.0  542.843364  243.545956  289.438969
-    10   6144.0  548.163546  248.661056  285.767458
+    10   6144.0  546.133354  248.661056  286.879370
-    11   6656.0  534.260858  256.000009  285.767438
+    11   6656.0  532.479975  256.000009  285.767438
-    12   7168.0  507.469040  260.457220  286.242939
+    12   7168.0  507.469040  260.654538  286.242939
-    13   7680.0  481.253256  262.190612  275.104486
+    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  438.857162  280.615388  290.027323
+    17   9728.0  439.683593  280.278512  290.027323
-    18  10240.0  449.287041  286.433562  287.438599
+    18  10240.0  449.287041  286.433562  290.153487
-    19  10752.0  427.231788  247.172406  290.594591
+    19  10752.0  427.231788  247.172406  290.922209
     20  11264.0  427.071098  245.760001  286.676558
-    21  11776.0  422.457417  249.667843  288.686414
+    21  11776.0  423.089806  249.667843  288.981596
-    22  12288.0  419.504980  254.453844  294.029924
+    22  12288.0  419.504980  254.893699  294.323369
-    23  12800.0  414.016170  253.256381  289.538159
+    23  12800.0  414.016170  253.674644  288.180121
     24  13312.0  411.181478  252.759501  289.916513
-    25  13824.0  404.112047  257.190689  292.056329
+    25  13824.0  404.604870  257.190689  292.056329
     26  14336.0  393.215988  254.485198  286.719986
     27  14848.0  385.245405  257.665934  289.246765
-    28  15360.0  373.495460  257.970599  287.102804
+    28  15360.0  373.874218  257.970599  286.211174
-    29  15872.0  371.637071  261.806182  289.899545
+    29  15872.0  371.274849  261.806182  289.679087
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.324 seconds)
+   **Total running time of the script:** ( 2 minutes  12.351 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
 =================
-**13:26.269** total execution time for **getting-started_tutorials** files:
+**13:20.304** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:08.357 | 0.0 MB |
+| :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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.274 | 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_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.324 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.825 | 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_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.489 | 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

@@ -325,22 +325,22 @@ for different problem sizes.</p>
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 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   76.800002   76.800002
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  384.000001
+6      262144.0  384.000001  384.000001
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 9     2097152.0  722.823517  722.823517
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 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
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+13   33554432.0  842.004273  842.004273
 14   67108864.0  847.448255  848.362445
 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  42.825 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.274 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   190.511628
 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
 ..      ...         ...             ...          ...
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+93  12160.0  814.058574      406.179533   198.733401
-94  12288.0  815.800825      415.661740   198.895304
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-95  12416.0  814.163950      412.149375   198.457532
+95  12416.0  814.163950      412.149375   198.556711
-96  12544.0  814.214963      412.971190   198.716830
+96  12544.0  814.214963      413.396498   198.913776
-97  12672.0  814.265046      411.679167   198.679085
+97  12672.0  814.265046      412.097543   198.873965
 
 [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  22.274 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.079 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

@@ -564,9 +564,9 @@ 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   2.978909  ...   2.978909              2.978909
+0    256.0   2.730667  ...   2.978909              2.978909
-1    384.0   7.372800  ...   8.507077              8.192000
+1    384.0   7.372800  ...   8.507077              8.507077
-2    512.0  14.563555  ...  16.384000             16.384000
+2    512.0  14.563555  ...  15.420235             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
@@ -574,32 +574,32 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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 8   1280.0  51.200001  ...  56.888887             56.888887
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-10  1536.0  79.526831  ...  79.526831             78.643199
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-12  1792.0  72.512412  ...  71.588687             72.047592
+12  1792.0  72.512412  ...  72.047592             71.588687
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+13  1920.0  68.776119  ...  70.172588             70.172588
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