[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: c24d43c3d9203b5bc4a3756159b70958
+config: bce1be3691c7f89ed1b8fc62439dfb46
 tags: 645f666f9bcd5a90fca523b33c5a78b7

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

@@ -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
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     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  36.291 seconds)
+   **Total running time of the script:** ( 1 minutes  43.473 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  546.133347      546.133347   190.511628
+    0     256.0  512.000001      546.133347   188.321838
-    1     384.0  585.142862      585.142862   153.600004
+    1     384.0  614.400016      585.142862   153.600004
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+    2     512.0  655.360017      606.814814   154.566038
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+    3     640.0  706.206879      640.000002   160.000000
-    4     768.0  722.823517      664.216187   163.839992
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      405.755985   198.936606
+    93  12160.0  815.765209      406.179533   198.936606
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+    95  12416.0  814.163950      412.149375   198.755369
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+    96  12544.0  814.214963      412.971190   199.012395
-    97  12672.0  814.265046      412.516771   199.069228
+    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  20.551 seconds)
+   **Total running time of the script:** ( 3 minutes  21.420 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              3.276800
+    0    256.0   2.730667  ...   2.978909              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             16.384000
+    2    512.0  14.563555  ...  16.384000             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  40.140799             39.025776
+    5    896.0  39.025776  ...  40.140799             39.025776
     6   1024.0  49.932191  ...  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             79.526831
-    11  1664.0  62.929456  ...  62.492442             62.061463
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     12  1792.0  72.512412  ...  72.047592             72.047592
-    13  1920.0  69.120002  ...  70.172588             70.530615
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-    14  2048.0  73.584279  ...  76.959706             76.608294
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-    15  2176.0  83.155572  ...  86.367588             85.269692
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-    16  2304.0  68.446623  ...  77.057651             76.076024
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-    17  2432.0  71.305746  ...  84.367759             85.134737
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-    18  2560.0  78.019048  ...  80.908642             80.709358
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-    19  2688.0  83.369354  ...  89.676257             89.254248
+    19  2688.0  83.369354  ...  89.254248             89.676257
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-    22  3072.0  81.825298  ...  88.612060             88.473602
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-    23  3200.0  84.880639  ...  95.096582             95.096582
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-    25  3456.0  78.655188  ...  85.950501             88.400840
+    25  3456.0  80.300370  ...  82.435141             88.497878
-    26  3584.0  87.296493  ...  97.628001             98.268190
+    26  3584.0  83.177979  ...  88.586589             94.947616
-    27  3712.0  80.757757  ...  88.326564             85.822459
+    27  3712.0  85.675250  ...  89.035062             87.170458
-    28  3840.0  83.027026  ...  91.059692             84.613126
+    28  3840.0  78.433173  ...  84.355978             91.511791
-    29  3968.0  90.724116  ...  87.347124             90.791620
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-    30  4096.0  86.313653  ...  86.424811             91.056800
+    30  4096.0  93.077479  ...  86.480498             83.365047
 
     [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  56.072 seconds)
+   **Total running time of the script:** ( 6 minutes  1.040 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

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

@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
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+    0    1024.0  307.200008   98.303995  307.200008
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-    6    4096.0  568.231237  221.905193  301.546004
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-    7    4608.0  504.986315  232.336141  287.999990
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-    13   7680.0  482.513091  267.130429  284.444450
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-    14   8192.0  463.698115  269.326017  282.482757
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-    15   8704.0  417.791980  264.425310  282.673891
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-    16   9216.0  431.157889  274.762727  291.031570
+    16   9216.0  431.157889  272.729961  289.129410
-    17   9728.0  439.683593  281.630872  290.027323
+    17   9728.0  439.683593  280.278512  290.027323
-    18  10240.0  446.025405  286.100109  289.811322
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-    20  11264.0  425.056596  243.765566  283.371073
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-    21  11776.0  423.089806  249.888595  289.129414
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-    22  12288.0  421.302872  254.673582  295.207195
+    22  12288.0  419.504980  254.673582  294.323369
-    23  12800.0  414.574901  254.515329  290.909089
+    23  12800.0  414.016170  253.674644  288.180121
-    24  13312.0  414.381327  253.561895  289.129403
+    24  13312.0  411.181478  252.759501  289.916513
-    25  13824.0  406.090579  257.790206  293.088338
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-    26  14336.0  394.116833  256.381525  290.349381
+    26  14336.0  393.215988  254.485198  286.719986
-    27  14848.0  385.245405  255.999999  287.844912
+    27  14848.0  385.245405  257.665934  289.246765
-    28  15360.0  376.932517  262.751252  291.184839
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-    29  15872.0  370.913333  262.166551  291.118085
+    29  15872.0  370.913333  261.806182  289.899545
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.560 seconds)
+   **Total running time of the script:** ( 2 minutes  12.002 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
 =================
-**13:04.956** total execution time for **getting-started_tutorials** files:
+**13:18.417** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:56.072 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:01.040 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:20.551 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.420 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.560 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.002 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:36.291 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.473 | 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 |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+

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

@@ -335,12 +335,12 @@ for different problem sizes.</p>
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 14   67108864.0  847.448255  848.362445
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 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  36.291 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.473 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  546.133347      546.133347   190.511628
+0     256.0  512.000001      546.133347   188.321838
-1     384.0  585.142862      585.142862   153.600004
+1     384.0  614.400016      585.142862   153.600004
-2     512.0  655.360017      585.142849   156.038096
+2     512.0  655.360017      606.814814   154.566038
-3     640.0  682.666684      640.000002   160.000000
+3     640.0  706.206879      640.000002   160.000000
-4     768.0  722.823517      664.216187   163.839992
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      405.755985   198.936606
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-94  12288.0  814.111783      415.661740   198.995960
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 [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  20.551 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.420 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              3.276800
+0    256.0   2.730667  ...   2.978909              2.978909
 1    384.0   7.372800  ...   8.507077              8.507077
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