[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: 01fd3208581800c33b1bfbbe059acfe5
+config: 6652bf2efe5c4422cc1b6d7b8757f15f
 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   76.800002
+    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
@@ -245,7 +245,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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  842.906750
+    13   33554432.0  842.004273  843.811163
     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  44.030 seconds)
+   **Total running time of the script:** ( 1 minutes  40.829 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   186.181817
     1     384.0  614.400016      585.142862   153.600004
-    2     512.0  655.360017      606.814814   154.566038
+    2     512.0  655.360017      606.814814   156.038096
     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   198.936606
+    93  12160.0  814.058574      406.179533   199.140227
-    94  12288.0  814.111783      415.661740   199.298541
+    94  12288.0  814.111783      415.222812   199.399583
-    95  12416.0  814.163950      412.149375   198.854847
+    95  12416.0  814.163950      412.149375   198.954424
-    96  12544.0  814.214963      412.971190   199.012395
+    96  12544.0  814.214963      412.971190   199.209928
-    97  12672.0  814.265046      412.097543   199.069228
+    97  12672.0  814.265046      412.097543   199.264875
 
     [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  20.262 seconds)
+   **Total running time of the script:** ( 3 minutes  21.705 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   2.978909  ...   2.978909              2.978909
+    0    256.0   2.978909  ...   3.276800              2.978909
-    1    384.0   7.372800  ...   8.507077              7.899428
+    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             15.420235
+    2    512.0  14.563555  ...  16.384000             16.384000
-    3    640.0  22.260869  ...  24.380953             24.380953
+    3    640.0  23.272727  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  39.025776  ...  39.025776             39.025776
+    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  79.526831  ...  79.526831             79.526831
+    10  1536.0  80.430545  ...  79.526831             78.643199
-    11  1664.0  62.929456  ...  62.929456             62.492442
+    11  1664.0  62.929456  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.047592             71.588687
+    12  1792.0  72.512412  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.172588             69.818184
+    13  1920.0  68.776119  ...  70.530615             69.818184
-    14  2048.0  73.262953  ...  76.608294             76.260072
+    14  2048.0  73.584279  ...  76.608294             76.608294
-    15  2176.0  83.155572  ...  85.998493             85.632545
+    15  2176.0  83.500614  ...  85.998493             85.632545
-    16  2304.0  68.251065  ...  77.057651             76.809875
+    16  2304.0  68.643310  ...  76.809875             76.563695
-    17  2432.0  71.487187  ...  84.877538             84.367759
+    17  2432.0  71.487187  ...  83.119713             85.134737
-    18  2560.0  78.019048  ...  81.108913             80.511054
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-    19  2688.0  83.186525  ...  90.102270             89.044736
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-    20  2816.0  81.674548  ...  82.759409             82.759409
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-    21  2944.0  82.921853  ...  81.832567             81.967162
+    21  2944.0  82.102191  ...  82.509987             82.784108
-    22  3072.0  81.707223  ...  88.060814             88.750943
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-    23  3200.0  80.503145  ...  87.791493             91.888011
+    23  3200.0  84.993363  ...  95.665176             94.674553
-    24  3328.0  79.901550  ...  84.895397             84.695641
+    24  3328.0  82.939284  ...  83.130825             84.596116
-    25  3456.0  81.849303  ...  91.407671             91.200871
+    25  3456.0  81.766291  ...  91.097818             84.597660
-    26  3584.0  84.427601  ...  90.458141             96.579370
+    26  3584.0  84.905939  ...  93.759530             87.296493
-    27  3712.0  85.748791  ...  86.980708             87.170458
+    27  3712.0  84.159518  ...  86.341700             86.867254
-    28  3840.0  79.334289  ...  91.777595             84.292684
+    28  3840.0  84.874902  ...  92.236860             84.552479
-    29  3968.0  90.859224  ...  84.915752             90.994735
+    29  3968.0  92.302520  ...  84.098250             90.791620
-    30  4096.0  86.424811  ...  84.735086             91.678778
+    30  4096.0  86.426548  ...  85.434583             91.180520
 
     [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  59.250 seconds)
+   **Total running time of the script:** ( 6 minutes  6.796 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  0.482 seconds)
+   **Total running time of the script:** ( 0 minutes  0.496 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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

@@ -42,32 +42,32 @@ Layer Normalization
     1    1536.0  347.773587  134.540150  344.523365
     2    2048.0  423.724127  161.684218  325.509933
     3    2560.0  458.507457  181.775141  326.808501
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     5    3584.0  551.384634  208.271186  311.652167
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-    8    5120.0  529.655159  242.845844  288.450695
+    8    5120.0  529.655159  242.845844  284.444444
-    9    5632.0  545.032265  243.545956  289.438969
+    9    5632.0  545.032265  243.545956  290.060087
-    10   6144.0  546.133354  248.661056  286.879370
+    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  262.564106  278.850215
+    13   7680.0  481.253256  262.564106  279.272719
-    14   8192.0  463.698115  267.130429  285.352682
+    14   8192.0  462.607053  267.130429  284.939124
-    15   8704.0  417.791980  267.815384  284.987724
+    15   8704.0  417.791980  267.815384  285.377055
-    16   9216.0  431.157889  272.729961  288.751954
+    16   9216.0  431.157889  272.394084  288.751954
-    17   9728.0  438.857162  280.278512  290.027323
+    17   9728.0  439.683593  280.615388  290.027323
-    18  10240.0  450.109870  286.433562  290.153487
+    18  10240.0  450.109870  286.767793  290.496460
-    19  10752.0  427.231788  246.935876  290.922209
+    19  10752.0  426.525614  247.172406  290.594591
-    20  11264.0  426.397479  245.760001  286.676558
+    20  11264.0  427.071098  245.760001  286.676558
-    21  11776.0  422.457417  249.888595  288.981596
+    21  11776.0  423.089806  249.667843  288.981596
-    22  12288.0  419.504980  254.673582  294.323369
+    22  12288.0  419.504980  254.893699  294.323369
-    23  12800.0  414.016170  253.674644  288.450715
+    23  12800.0  414.016170  253.674644  289.538159
-    24  13312.0  411.181478  252.959629  290.179836
+    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
+    26  14336.0  393.665895  254.485198  286.719986
-    27  14848.0  385.245405  257.665934  289.246765
+    27  14848.0  384.829370  257.665934  289.246765
-    28  15360.0  373.874218  257.790220  286.211174
+    28  15360.0  373.874218  257.970599  286.433562
-    29  15872.0  371.274849  261.626369  290.120338
+    29  15872.0  371.274849  261.986243  289.679087
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.441 seconds)
+   **Total running time of the script:** ( 2 minutes  12.368 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
 =================
-**13:16.466** total execution time for **getting-started_tutorials** files:
+**13:22.195** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:59.250 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:06.796 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:20.262 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.705 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.441 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.368 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.030 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.829 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.482 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.496 | 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   76.800002
+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
@@ -335,12 +335,12 @@ for different problem sizes.</p>
 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  842.906750
+13   33554432.0  842.004273  843.811163
 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  44.030 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.829 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   186.181817
 1     384.0  614.400016      585.142862   153.600004
-2     512.0  655.360017      606.814814   154.566038
+2     512.0  655.360017      606.814814   156.038096
 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   198.936606
+93  12160.0  814.058574      406.179533   199.140227
-94  12288.0  814.111783      415.661740   199.298541
+94  12288.0  814.111783      415.222812   199.399583
-95  12416.0  814.163950      412.149375   198.854847
+95  12416.0  814.163950      412.149375   198.954424
-96  12544.0  814.214963      412.971190   199.012395
+96  12544.0  814.214963      412.971190   199.209928
-97  12672.0  814.265046      412.097543   199.069228
+97  12672.0  814.265046      412.097543   199.264875
 
 [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  20.262 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.705 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   2.978909  ...   2.978909              2.978909
+0    256.0   2.978909  ...   3.276800              2.978909
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+1    384.0   7.372800  ...   8.507077              8.507077
-2    512.0  14.563555  ...  16.384000             15.420235
+2    512.0  14.563555  ...  16.384000             16.384000
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+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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