[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: 9c050d74773aa57b90cd2af2159283a5
+config: eac485c17911d9cfbfb6f06e61db588a
 tags: 645f666f9bcd5a90fca523b33c5a78b7

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

@@ -235,10 +235,10 @@ 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   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  384.000001  384.000001
+    6      262144.0  341.333321  384.000001
     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  41.422 seconds)
+   **Total running time of the script:** ( 1 minutes  43.089 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  814.058574      406.179533   198.834951
+    93  12160.0  814.058574      406.179533   198.631953
-    94  12288.0  815.800825      415.222812   199.197579
+    94  12288.0  814.111783      415.661740   198.895304
-    95  12416.0  814.163950      412.149375   198.755369
+    95  12416.0  814.163950      412.577363   198.457532
-    96  12544.0  814.214963      412.971190   199.012395
+    96  12544.0  814.214963      412.971190   198.716830
-    97  12672.0  814.265046      412.097543   198.971549
+    97  12672.0  814.265046      412.097543   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  18.383 seconds)
+   **Total running time of the script:** ( 3 minutes  21.816 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
+    0    256.0   2.978909  ...   2.978909              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
+    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
+    5    896.0  39.025776  ...  39.025776             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  80.430545  ...  79.526831             78.643199
     11  1664.0  62.929456  ...  62.492442             62.061463
-    12  1792.0  72.512412  ...  72.047592             71.588687
+    12  1792.0  72.983276  ...  71.588687             72.047592
     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
+    15  2176.0  83.155572  ...  85.998493             85.632545
-    16  2304.0  68.643310  ...  76.319081             76.319081
+    16  2304.0  68.446623  ...  76.319081             76.319081
-    17  2432.0  71.305746  ...  74.719317             85.134737
+    17  2432.0  71.305746  ...  84.621881             84.115159
-    18  2560.0  78.019048  ...  80.709358             80.511054
+    18  2560.0  78.019048  ...  81.108913             80.709358
-    19  2688.0  83.552988  ...  89.888756             89.676257
+    19  2688.0  83.004501  ...  89.464755             89.464755
-    20  2816.0  82.916747  ...  83.392363             82.135981
+    20  2816.0  82.916747  ...  82.759409             82.290955
-    21  2944.0  82.237674  ...  82.646820             82.921853
+    21  2944.0  81.298583  ...  82.509987             82.646820
-    22  3072.0  81.707223  ...  86.978653             84.010539
+    22  3072.0  81.825298  ...  84.135370             89.030036
-    23  3200.0  84.993363  ...  88.033012             94.048494
+    23  3200.0  84.488448  ...  94.955488             94.604578
-    24  3328.0  79.990330  ...  84.003845             84.496824
+    24  3328.0  82.939284  ...  81.346098             83.905938
-    25  3456.0  81.600781  ...  85.585527             90.281712
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-    26  3584.0  87.381330  ...  98.591437             95.654673
+    26  3584.0  87.296493  ...  97.947050             90.276496
-    27  3712.0  84.159518  ...  87.475786             85.418853
+    27  3712.0  84.159518  ...  87.018592             85.748791
-    28  3840.0  83.781816  ...  91.473945             84.582788
+    28  3840.0  84.874902  ...  92.313853             84.552479
-    29  3968.0  90.724116  ...  85.093402             90.455103
+    29  3968.0  92.302520  ...  85.152783             91.028675
-    30  4096.0  86.313653  ...  87.438257             91.678778
+    30  4096.0  86.703957  ...  85.434583             91.211502
 
     [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  59.778 seconds)
+   **Total running time of the script:** ( 6 minutes  1.969 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  0.481 seconds)
+   **Total running time of the script:** ( 0 minutes  0.479 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  423.724127  161.684218  334.367350
+    2    2048.0  420.102553  161.154101  334.367350
-    3    2560.0  458.507457  181.775141  326.808501
+    3    2560.0  458.507457  181.238943  330.322572
-    4    3072.0  511.999982  192.501302  319.168834
+    4    3072.0  511.999982  191.999993  320.556515
-    5    3584.0  551.384634  208.271186  310.527060
+    5    3584.0  551.384634  207.768111  310.527060
-    6    4096.0  568.231237  220.412561  293.444785
+    6    4096.0  564.965515  220.412561  297.890900
-    7    4608.0  507.302750  232.825259  291.031570
+    7    4608.0  504.986315  232.825259  286.507772
-    8    5120.0  531.948056  242.845844  287.102804
+    8    5120.0  529.655159  242.845844  285.104413
-    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  286.879370
+    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  260.654538  286.242939
-    13   7680.0  479.999983  262.564106  279.696505
+    13   7680.0  479.999983  262.190612  278.850215
-    14   8192.0  462.607053  267.493874  284.526763
+    14   8192.0  463.698115  267.130429  284.939124
-    15   8704.0  418.629245  267.815384  285.377055
+    15   8704.0  417.791980  267.815384  284.987724
-    16   9216.0  432.000001  272.729961  289.129410
+    16   9216.0  431.157889  272.394084  288.751954
-    17   9728.0  439.683593  280.615388  290.027323
+    17   9728.0  438.857162  280.278512  290.027323
-    18  10240.0  450.109870  286.767793  290.496460
+    18  10240.0  449.287041  286.767793  290.153487
-    19  10752.0  427.940303  247.172406  290.922209
+    19  10752.0  426.525614  247.172406  290.594591
-    20  11264.0  427.071098  245.760001  286.676558
+    20  11264.0  427.071098  245.536784  286.676558
-    21  11776.0  423.089806  249.667843  288.981596
+    21  11776.0  423.089806  249.778170  288.981596
-    22  12288.0  419.504980  254.673582  294.323369
+    22  12288.0  419.504980  254.673582  294.176573
-    23  12800.0  414.016170  253.674644  289.811310
+    23  12800.0  414.016170  253.465340  289.538159
-    24  13312.0  411.181478  252.759501  290.179836
+    24  13312.0  411.181478  252.759501  289.916513
-    25  13824.0  404.604870  257.190689  292.313649
+    25  13824.0  404.112047  257.190689  292.056329
-    26  14336.0  393.440813  254.485198  286.959121
+    26  14336.0  393.215988  254.485198  286.719986
-    27  14848.0  385.245405  257.665934  289.246765
+    27  14848.0  384.829370  257.665934  289.012175
-    28  15360.0  373.874218  257.970599  287.326580
+    28  15360.0  373.495460  257.970599  287.326580
-    29  15872.0  371.274849  261.806182  290.120338
+    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  10.738 seconds)
+   **Total running time of the script:** ( 2 minutes  12.779 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
 =================
-**13:10.803** total execution time for **getting-started_tutorials** files:
+**13:20.131** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :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_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:01.969 | 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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.816 | 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_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.779 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.089 | 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 |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.479 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+

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

@@ -325,10 +325,10 @@ 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   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  384.000001  384.000001
+6      262144.0  341.333321  384.000001
 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  41.422 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.089 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
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.834951
+93  12160.0  814.058574      406.179533   198.631953
-94  12288.0  815.800825      415.222812   199.197579
+94  12288.0  814.111783      415.661740   198.895304
-95  12416.0  814.163950      412.149375   198.755369
+95  12416.0  814.163950      412.577363   198.457532
-96  12544.0  814.214963      412.971190   199.012395
+96  12544.0  814.214963      412.971190   198.716830
-97  12672.0  814.265046      412.097543   198.971549
+97  12672.0  814.265046      412.097543   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  18.383 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.816 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
+0    256.0   2.978909  ...   2.978909              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
+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
+5    896.0  39.025776  ...  39.025776             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
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 14  2048.0  73.262953  ...  76.608294             76.608294
-15  2176.0  83.155572  ...  85.998493             85.269692
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-16  2304.0  68.643310  ...  76.319081             76.319081
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+23  3200.0  84.488448  ...  94.955488             94.604578
-24  3328.0  79.990330  ...  84.003845             84.496824
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master/getting-started/tutorials/04-low-memory-dropout.html

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