[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: fac42f8be60f9ffe3d7a8c0c4f4d1f95
+config: 956ebdf863b4bcdc6d83c6236bf829bb
 tags: 645f666f9bcd5a90fca523b33c5a78b7

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

@@ -234,8 +234,8 @@ 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   31.999999   38.400001
+    2       16384.0   38.400001   31.999999
-    3       32768.0   76.800002   63.999998
+    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
@@ -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  40.129 seconds)
+   **Total running time of the script:** ( 1 minutes  41.611 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   186.181817
+    0     256.0  512.000001      546.133347   188.321838
     1     384.0  585.142862      558.545450   151.703707
-    2     512.0  655.360017      585.142849   154.566038
+    2     512.0  655.360017      606.814814   154.566038
     3     640.0  682.666684      640.000002   158.759699
-    4     768.0  722.823517      646.736871   163.839992
+    4     768.0  722.823517      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      405.755985   199.038365
+    93  12160.0  814.058574      405.755985   198.733401
-    94  12288.0  814.111783      415.661740   199.197579
+    94  12288.0  814.111783      415.661740   198.895304
-    95  12416.0  814.163950      412.149375   198.954424
+    95  12416.0  814.163950      411.722274   198.556711
-    96  12544.0  814.214963      412.546756   199.012395
+    96  12544.0  814.214963      412.971190   198.716830
-    97  12672.0  814.265046      411.679167   199.167004
+    97  12672.0  814.265046      411.679167   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  22.121 seconds)
+   **Total running time of the script:** ( 3 minutes  25.996 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  ...   3.276800              3.276800
     1    384.0   7.372800  ...   7.899428              8.507077
-    2    512.0  14.563555  ...  15.420235             15.420235
+    2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  31.597714  ...  35.389441             34.028308
+    4    768.0  32.768000  ...  35.389441             34.028308
-    5    896.0  37.971025  ...  40.140799             40.140799
+    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  80.430545  ...  80.430545             80.430545
+    10  1536.0  79.526831  ...  79.526831             80.430545
-    11  1664.0  62.929456  ...  63.372618             62.929456
+    11  1664.0  62.929456  ...  63.372618             63.372618
     12  1792.0  72.983276  ...  63.499573             63.142831
-    13  1920.0  69.120002  ...  71.626943             71.257735
+    13  1920.0  68.776119  ...  71.257735             70.892307
-    14  2048.0  73.584279  ...  78.033565             77.672296
+    14  2048.0  73.262953  ...  78.033565             77.672296
-    15  2176.0  83.155572  ...  87.115360             86.739860
+    15  2176.0  83.155572  ...  87.494120             86.739860
-    16  2304.0  68.251065  ...  77.810656             77.558029
+    16  2304.0  68.446623  ...  78.064941             77.558029
-    17  2432.0  71.305746  ...  75.320281             75.320281
+    17  2432.0  71.305746  ...  75.522751             75.320281
-    18  2560.0  77.833728  ...  82.539044             82.125311
+    18  2560.0  77.833728  ...  82.331658             82.125311
-    19  2688.0  83.922689  ...  90.966561             90.532356
+    19  2688.0  84.108772  ...  90.748936             90.532356
-    20  2816.0  83.233226  ...  84.035084             83.552120
+    20  2816.0  83.233226  ...  83.873477             83.873477
-    21  2944.0  82.102191  ...  83.337844             84.182483
+    21  2944.0  81.967162  ...  83.899046             84.182483
-    22  3072.0  81.005868  ...  90.020831             89.451983
+    22  3072.0  81.707223  ...  88.890270             89.877939
-    23  3200.0  84.880639  ...  96.385543             95.238096
+    23  3200.0  84.656085  ...  96.385543             96.240602
-    24  3328.0  83.905938  ...  84.995628             85.297742
+    24  3328.0  83.226931  ...  84.995628             84.795401
-    25  3456.0  81.108217  ...  86.689860             89.380896
+    25  3456.0  82.773682  ...  92.033756             89.779026
-    26  3584.0  86.540320  ...  99.244365             99.684470
+    26  3584.0  86.540320  ...  95.148565             96.372338
-    27  3712.0  82.287760  ...  85.163978             86.942857
+    27  3712.0  84.301560  ...  87.629253             88.248537
-    28  3840.0  84.842346  ...  87.355452             92.468225
+    28  3840.0  81.079177  ...  88.050954             91.777595
-    29  3968.0  87.097744  ...  92.163097             84.504108
+    29  3968.0  87.913500  ...  91.575185             84.915752
-    30  4096.0  93.271527  ...  93.077479             87.324485
+    30  4096.0  92.500158  ...  88.011627             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:** ( 5 minutes  49.071 seconds)
+   **Total running time of the script:** ( 6 minutes  14.105 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
-    0    1024.0  361.411758   97.523810  303.407414
+    0    1024.0  361.411758   97.912354  303.407414
-    1    1536.0  405.098894  134.050910  341.333333
+    1    1536.0  409.599994  134.540150  341.333333
-    2    2048.0  491.520012  160.627450  334.367350
+    2    2048.0  496.484863  161.154101  334.367350
-    3    2560.0  461.954908  180.705883  330.322572
+    3    2560.0  461.954908  181.238943  330.322572
-    4    3072.0  515.580429  191.999993  323.368415
+    4    3072.0  519.211251  192.501302  323.368415
-    5    3584.0  558.545477  207.768111  310.527060
+    5    3584.0  558.545477  208.271186  311.652167
-    6    4096.0  564.965515  220.907859  297.890900
+    6    4096.0  564.965515  220.907859  296.990947
-    7    4608.0  502.690905  232.825259  287.251954
+    7    4608.0  500.416301  232.336141  287.251954
-    8    5120.0  525.128191  242.366855  285.104413
+    8    5120.0  527.381977  242.366855  284.444444
     9    5632.0  540.671974  243.107920  289.438969
-    10   6144.0  544.118087  248.661056  286.322318
+    10   6144.0  546.133354  248.661056  286.879370
-    11   6656.0  525.473708  256.000009  285.767438
+    11   6656.0  527.207907  256.000009  285.257135
-    12   7168.0  503.017523  259.867079  284.821192
+    12   7168.0  503.017523  260.260201  284.821192
     13   7680.0  483.779539  262.938666  280.121579
-    14   8192.0  463.698115  266.406514  284.115618
+    14   8192.0  463.698115  266.406514  284.526763
-    15   8704.0  414.476194  267.472468  284.987724
+    15   8704.0  414.476194  267.815384  284.987724
-    16   9216.0  426.996150  271.391419  287.999990
+    16   9216.0  426.996150  271.724806  287.999990
-    17   9728.0  437.213490  280.615388  289.667485
+    17   9728.0  437.213490  280.615388  290.027323
-    18  10240.0  446.836366  286.100109  289.811322
+    18  10240.0  446.025405  286.433562  290.153487
-    19  10752.0  429.364408  246.699797  290.267711
+    19  10752.0  429.364408  246.935876  290.267711
-    20  11264.0  427.071098  245.313973  286.980888
+    20  11264.0  426.397479  245.536784  286.980888
-    21  11776.0  420.571432  249.667843  288.981596
+    21  11776.0  420.571432  249.667843  289.277383
     22  12288.0  416.542386  254.673582  294.617366
-    23  12800.0  411.244989  253.884294  289.811310
+    23  12800.0  410.695192  253.884294  287.910035
-    24  13312.0  409.599999  252.959629  290.443638
+    24  13312.0  409.075539  252.959629  290.443638
-    25  13824.0  405.098897  257.290415  292.056329
+    25  13824.0  405.098897  257.390218  291.799461
-    26  14336.0  395.021816  255.051144  286.719986
+    26  14336.0  394.568805  254.862216  287.198654
-    27  14848.0  386.080180  257.852379  289.246765
+    27  14848.0  386.498925  257.852379  289.717061
-    28  15360.0  380.041240  257.790220  286.879376
+    28  15360.0  380.433442  257.790220  288.000007
-    29  15872.0  370.913333  261.626369  289.679087
+    29  15872.0  370.552519  261.806182  290.120338
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.654 seconds)
+   **Total running time of the script:** ( 2 minutes  14.046 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
 =================
-**13:02.987** total execution time for **getting-started_tutorials** files:
+**13:35.769** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:49.071 | 0.0 MB |
+| :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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.121 | 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_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.654 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.129 | 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_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+

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

@@ -324,8 +324,8 @@ 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   31.999999   38.400001
+2       16384.0   38.400001   31.999999
-3       32768.0   76.800002   63.999998
+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
@@ -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  40.129 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.611 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   186.181817
+0     256.0  512.000001      546.133347   188.321838
 1     384.0  585.142862      558.545450   151.703707
-2     512.0  655.360017      585.142849   154.566038
+2     512.0  655.360017      606.814814   154.566038
 3     640.0  682.666684      640.000002   158.759699
-4     768.0  722.823517      646.736871   163.839992
+4     768.0  722.823517      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      405.755985   199.038365
+93  12160.0  814.058574      405.755985   198.733401
-94  12288.0  814.111783      415.661740   199.197579
+94  12288.0  814.111783      415.661740   198.895304
-95  12416.0  814.163950      412.149375   198.954424
+95  12416.0  814.163950      411.722274   198.556711
-96  12544.0  814.214963      412.546756   199.012395
+96  12544.0  814.214963      412.971190   198.716830
-97  12672.0  814.265046      411.679167   199.167004
+97  12672.0  814.265046      411.679167   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  22.121 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  25.996 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  ...   3.276800              3.276800
 1    384.0   7.372800  ...   7.899428              8.507077
-2    512.0  14.563555  ...  15.420235             15.420235
+2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
-4    768.0  31.597714  ...  35.389441             34.028308
+4    768.0  32.768000  ...  35.389441             34.028308
-5    896.0  37.971025  ...  40.140799             40.140799
+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  80.430545  ...  80.430545             80.430545
+10  1536.0  79.526831  ...  79.526831             80.430545
-11  1664.0  62.929456  ...  63.372618             62.929456
+11  1664.0  62.929456  ...  63.372618             63.372618
 12  1792.0  72.983276  ...  63.499573             63.142831
-13  1920.0  69.120002  ...  71.626943             71.257735
+13  1920.0  68.776119  ...  71.257735             70.892307
-14  2048.0  73.584279  ...  78.033565             77.672296
+14  2048.0  73.262953  ...  78.033565             77.672296
-15  2176.0  83.155572  ...  87.115360             86.739860
+15  2176.0  83.155572  ...  87.494120             86.739860
-16  2304.0  68.251065  ...  77.810656             77.558029
+16  2304.0  68.446623  ...  78.064941             77.558029
-17  2432.0  71.305746  ...  75.320281             75.320281
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-20  2816.0  83.233226  ...  84.035084             83.552120
+20  2816.0  83.233226  ...  83.873477             83.873477
-21  2944.0  82.102191  ...  83.337844             84.182483
+21  2944.0  81.967162  ...  83.899046             84.182483
-22  3072.0  81.005868  ...  90.020831             89.451983
+22  3072.0  81.707223  ...  88.890270             89.877939
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