[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: 956ebdf863b4bcdc6d83c6236bf829bb
+config: 450f101380eaf48378e1ad74a6cdb220
 tags: 645f666f9bcd5a90fca523b33c5a78b7

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

@@ -234,14 +234,14 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   31.999999
+    2       16384.0   31.999999   31.999999
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  341.333321  341.333321
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
-    9     2097152.0  722.823517  702.171410
+    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
@@ -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  41.611 seconds)
+   **Total running time of the script:** ( 1 minutes  46.703 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt

@@ -279,16 +279,16 @@ 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
-    1     384.0  585.142862      558.545450   151.703707
+    1     384.0  585.142862      585.142862   151.703707
     2     512.0  655.360017      606.814814   154.566038
-    3     640.0  682.666684      640.000002   158.759699
+    3     640.0  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      405.755985   198.733401
-    94  12288.0  814.111783      415.661740   198.895304
-    95  12416.0  814.163950      411.722274   198.556711
-    96  12544.0  814.214963      412.971190   198.716830
-    97  12672.0  814.265046      411.679167   198.873965
+    93  12160.0  814.058574      405.755985   199.038365
+    94  12288.0  814.111783      415.222812   199.298541
+    95  12416.0  814.163950      412.149375   198.954424
+    96  12544.0  814.214963      412.546756   199.111113
+    97  12672.0  814.265046      411.679167   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  25.996 seconds)
+   **Total running time of the script:** ( 3 minutes  28.363 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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

@@ -457,38 +457,38 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
  .. code-block:: none
 
     matmul-performance:
-             M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   3.276800              3.276800
-    1    384.0   7.372800  ...   7.899428              8.507077
-    2    512.0  14.563555  ...  16.384000             16.384000
-    3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  32.768000  ...  35.389441             34.028308
-    5    896.0  37.971025  ...  41.321411             40.140799
-    6   1024.0  49.932191  ...  53.773130             53.773130
-    7   1152.0  45.242181  ...  48.161033             47.396572
-    8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  68.147202             68.147202
-    10  1536.0  79.526831  ...  79.526831             80.430545
-    11  1664.0  62.929456  ...  63.372618             63.372618
-    12  1792.0  72.983276  ...  63.499573             63.142831
-    13  1920.0  68.776119  ...  71.257735             70.892307
-    14  2048.0  73.262953  ...  78.033565             77.672296
-    15  2176.0  83.155572  ...  87.494120             86.739860
-    16  2304.0  68.446623  ...  78.064941             77.558029
-    17  2432.0  71.305746  ...  75.522751             75.320281
-    18  2560.0  77.833728  ...  82.331658             82.125311
-    19  2688.0  84.108772  ...  90.748936             90.532356
-    20  2816.0  83.233226  ...  83.873477             83.873477
-    21  2944.0  81.967162  ...  83.899046             84.182483
-    22  3072.0  81.707223  ...  88.890270             89.877939
-    23  3200.0  84.656085  ...  96.385543             96.240602
-    24  3328.0  83.226931  ...  84.995628             84.795401
-    25  3456.0  82.773682  ...  92.033756             89.779026
-    26  3584.0  86.540320  ...  95.148565             96.372338
-    27  3712.0  84.301560  ...  87.629253             88.248537
-    28  3840.0  81.079177  ...  88.050954             91.777595
-    29  3968.0  87.913500  ...  91.575185             84.915752
-    30  4096.0  92.500158  ...  88.011627             88.011627
+             M     cuBLAS  ...      Triton  Triton (+ LeakyReLU)
+    0    256.0   2.730667  ...    3.276800              2.978909
+    1    384.0   7.372800  ...    7.899428              8.507077
+    2    512.0  14.563555  ...   15.420235             15.420235
+    3    640.0  22.260869  ...   24.380953             24.380953
+    4    768.0  32.768000  ...   35.389441             34.028308
+    5    896.0  37.971025  ...   40.140799             40.140799
+    6   1024.0  49.932191  ...   53.773130             53.773130
+    7   1152.0  45.242181  ...   48.161033             47.396572
+    8   1280.0  51.200001  ...   57.690139             57.690139
+    9   1408.0  64.138541  ...   69.009825             67.305878
+    10  1536.0  79.526831  ...   80.430545             79.526831
+    11  1664.0  63.372618  ...   63.372618             62.929456
+    12  1792.0  72.983276  ...   63.142831             62.790080
+    13  1920.0  68.776119  ...   71.257735             70.892307
+    14  2048.0  73.908442  ...   78.398206             78.033565
+    15  2176.0  83.155572  ...   87.115360             86.739860
+    16  2304.0  68.251065  ...   78.064941             77.558029
+    17  2432.0  71.305746  ...   75.726318             75.320281
+    18  2560.0  77.833728  ...   82.539044             82.125311
+    19  2688.0  83.552988  ...   91.625737             90.748936
+    20  2816.0  79.587973  ...   82.290955             84.197315
+    21  2944.0  81.232324  ...   83.477440             83.899046
+    22  3072.0  81.121923  ...   89.451983             89.735509
+    23  3200.0  84.656085  ...   96.240602             96.096095
+    24  3328.0  83.905938  ...   83.323259             82.939284
+    25  3456.0  82.519518  ...   86.876687             92.033756
+    26  3584.0  87.808000  ...  100.017124             99.354022
+    27  3712.0  84.874549  ...   88.561477             88.797643
+    28  3840.0  84.292684  ...   92.159996             85.597527
+    29  3968.0  91.816356  ...   87.976885             90.589410
+    30  4096.0  87.552332  ...   94.519528             88.011627
 
     [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  14.105 seconds)
+   **Total running time of the script:** ( 6 minutes  48.929 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  0.012 seconds)
+   **Total running time of the script:** ( 0 minutes  0.323 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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

@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  361.411758   97.912354  303.407414
     1    1536.0  409.599994  134.540150  341.333333
-    2    2048.0  496.484863  161.154101  334.367350
+    2    2048.0  491.520012  161.154101  334.367350
     3    2560.0  461.954908  181.238943  330.322572
     4    3072.0  519.211251  192.501302  323.368415
-    5    3584.0  558.545477  208.271186  311.652167
-    6    4096.0  564.965515  220.907859  296.990947
-    7    4608.0  500.416301  232.336141  287.251954
-    8    5120.0  527.381977  242.366855  284.444444
-    9    5632.0  540.671974  243.107920  289.438969
-    10   6144.0  546.133354  248.661056  286.879370
-    11   6656.0  527.207907  256.000009  285.257135
+    5    3584.0  554.941930  208.271186  311.652167
+    6    4096.0  561.737163  220.907859  297.890900
+    7    4608.0  502.690905  232.825259  287.251954
+    8    5120.0  525.128191  242.366855  284.444444
+    9    5632.0  542.843364  243.107920  290.060087
+    10   6144.0  544.118087  248.661056  286.879370
+    11   6656.0  527.207907  256.000009  285.767438
     12   7168.0  503.017523  260.260201  284.821192
-    13   7680.0  483.779539  262.938666  280.121579
+    13   7680.0  482.513091  262.938666  280.121579
     14   8192.0  463.698115  266.406514  284.526763
-    15   8704.0  414.476194  267.815384  284.987724
-    16   9216.0  426.996150  271.724806  287.999990
+    15   8704.0  414.476194  267.472468  284.987724
+    16   9216.0  428.651187  271.724806  287.999990
     17   9728.0  437.213490  280.615388  290.027323
     18  10240.0  446.025405  286.433562  290.153487
-    19  10752.0  429.364408  246.935876  290.267711
+    19  10752.0  428.651173  246.935876  290.267711
     20  11264.0  426.397479  245.536784  286.980888
-    21  11776.0  420.571432  249.667843  289.277383
+    21  11776.0  420.571432  249.888595  288.981596
     22  12288.0  416.542386  254.673582  294.617366
-    23  12800.0  410.695192  253.884294  287.910035
-    24  13312.0  409.075539  252.959629  290.443638
-    25  13824.0  405.098897  257.390218  291.799461
-    26  14336.0  394.568805  254.862216  287.198654
-    27  14848.0  386.498925  257.852379  289.717061
-    28  15360.0  380.433442  257.790220  288.000007
-    29  15872.0  370.552519  261.806182  290.120338
+    23  12800.0  410.695192  254.094291  289.811310
+    24  13312.0  409.075539  253.160074  290.443638
+    25  13824.0  404.604870  257.390218  292.056329
+    26  14336.0  394.116833  255.051144  286.959121
+    27  14848.0  385.662341  257.852379  289.952797
+    28  15360.0  380.433442  257.970599  287.550706
+    29  15872.0  370.192407  261.806182  290.341468
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  14.046 seconds)
+   **Total running time of the script:** ( 2 minutes  14.282 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
 =================
-**13:35.769** total execution time for **getting-started_tutorials** files:
+**14:18.601** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:14.105 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:48.929 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:25.996 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:28.363 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:14.046 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:14.282 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.611 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.703 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.323 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+

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

@@ -324,14 +324,14 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   38.400001   31.999999
+2       16384.0   31.999999   31.999999
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  341.333321  341.333321
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
-9     2097152.0  722.823517  702.171410
+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
@@ -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  41.611 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.703 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

@@ -370,16 +370,16 @@ We will then compare its performance against (1) <code class="code docutils lite
 <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
-1     384.0  585.142862      558.545450   151.703707
+1     384.0  585.142862      585.142862   151.703707
 2     512.0  655.360017      606.814814   154.566038
-3     640.0  682.666684      640.000002   158.759699
+3     640.0  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      405.755985   198.733401
-94  12288.0  814.111783      415.661740   198.895304
-95  12416.0  814.163950      411.722274   198.556711
-96  12544.0  814.214963      412.971190   198.716830
-97  12672.0  814.265046      411.679167   198.873965
+93  12160.0  814.058574      405.755985   199.038365
+94  12288.0  814.111783      415.222812   199.298541
+95  12416.0  814.163950      412.149375   198.954424
+96  12544.0  814.214963      412.546756   199.111113
+97  12672.0  814.265046      411.679167   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  25.996 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  28.363 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

@@ -563,43 +563,43 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <img alt="03 matrix multiplication" class="sphx-glr-single-img" src="../../_images/sphx_glr_03-matrix-multiplication_001.png" />
 <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  ...   3.276800              3.276800
-1    384.0   7.372800  ...   7.899428              8.507077
-2    512.0  14.563555  ...  16.384000             16.384000
-3    640.0  22.260869  ...  24.380953             24.380953
-4    768.0  32.768000  ...  35.389441             34.028308
-5    896.0  37.971025  ...  41.321411             40.140799
-6   1024.0  49.932191  ...  53.773130             53.773130
-7   1152.0  45.242181  ...  48.161033             47.396572
-8   1280.0  51.200001  ...  57.690139             57.690139
-9   1408.0  64.138541  ...  68.147202             68.147202
-10  1536.0  79.526831  ...  79.526831             80.430545
-11  1664.0  62.929456  ...  63.372618             63.372618
-12  1792.0  72.983276  ...  63.499573             63.142831
-13  1920.0  68.776119  ...  71.257735             70.892307
-14  2048.0  73.262953  ...  78.033565             77.672296
-15  2176.0  83.155572  ...  87.494120             86.739860
-16  2304.0  68.446623  ...  78.064941             77.558029
-17  2432.0  71.305746  ...  75.522751             75.320281
-18  2560.0  77.833728  ...  82.331658             82.125311
-19  2688.0  84.108772  ...  90.748936             90.532356
-20  2816.0  83.233226  ...  83.873477             83.873477
-21  2944.0  81.967162  ...  83.899046             84.182483
-22  3072.0  81.707223  ...  88.890270             89.877939
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