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diff --git a/master/_images/sphx_glr_05-layer-norm_thumb.png b/master/_images/sphx_glr_05-layer-norm_thumb.png
index 94f734638..9fc3bb4a8 100644
Binary files a/master/_images/sphx_glr_05-layer-norm_thumb.png and b/master/_images/sphx_glr_05-layer-norm_thumb.png differ
diff --git a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
index 180ad65cb..2890b60e1 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/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   31.999999
-    3       32768.0   76.800002   76.800002
+    2       16384.0   38.400001   38.400001
+    3       32768.0   63.999998   63.999998
     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  46.974 seconds)
+   **Total running time of the script:** ( 1 minutes  37.409 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
diff --git a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
index 886fb7414..0fd832aae 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,16 +278,16 @@ 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      585.142862   151.703707
-    2     512.0  655.360017      606.814814   156.038096
-    3     640.0  682.666684      640.000002   160.000000
-    4     768.0  722.823517      646.736871   163.839992
+    0     256.0  512.000001      546.133347   186.181817
+    1     384.0  585.142862      585.142862   153.600004
+    2     512.0  655.360017      606.814814   154.566038
+    3     640.0  682.666684      620.606056   160.000000
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
     93  12160.0  814.058574      405.755985   198.936606
-    94  12288.0  814.111783      415.222812   199.197579
-    95  12416.0  814.163950      412.149375   198.954424
-    96  12544.0  814.214963      412.971190   199.111113
+    94  12288.0  815.800825      415.661740   199.298541
+    95  12416.0  814.163950      411.722274   198.854847
+    96  12544.0  814.214963      412.546756   199.061730
     97  12672.0  814.265046      412.097543   199.167004
 
     [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  28.936 seconds)
+   **Total running time of the script:** ( 3 minutes  27.320 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
diff --git a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
index 0dafb2782..2fd2fbd86 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/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
-    1    384.0   7.372800  ...   7.899428              8.507077
-    2    512.0  14.563555  ...  16.384000             16.384000
+    0    256.0   2.730667  ...   2.978909              2.978909
+    1    384.0   7.372800  ...   7.899428              7.899428
+    2    512.0  14.563555  ...  15.420235             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  ...  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  ...  58.514284             57.690139
-    9   1408.0  64.138541  ...  69.009825             69.009825
-    10  1536.0  79.526831  ...  80.430545             80.430545
+    4    768.0  32.768000  ...  34.028308             34.028308
+    5    896.0  37.971025  ...  41.321411             40.140799
+    6   1024.0  49.932191  ...  53.773130             52.428801
+    7   1152.0  44.566925  ...  48.161033             47.396572
+    8   1280.0  51.200001  ...  57.690139             57.690139
+    9   1408.0  64.138541  ...  69.009825             68.147202
+    10  1536.0  80.430545  ...  80.430545             79.526831
     11  1664.0  62.929456  ...  63.372618             62.929456
-    12  1792.0  72.983276  ...  63.142831             62.790080
-    13  1920.0  68.776119  ...  71.626943             71.257735
-    14  2048.0  73.584279  ...  78.398206             78.033565
+    12  1792.0  72.983276  ...  63.499573             62.790080
+    13  1920.0  69.120002  ...  71.626943             70.892307
+    14  2048.0  73.262953  ...  78.033565             78.033565
     15  2176.0  83.155572  ...  87.115360             86.739860
-    16  2304.0  68.446623  ...  77.810656             77.558029
-    17  2432.0  71.125224  ...  75.726318             75.320281
-    18  2560.0  77.833728  ...  82.125311             81.715711
-    19  2688.0  83.369354  ...  90.532356             90.748936
-    20  2816.0  80.916902  ...  83.552120             83.552120
-    21  2944.0  82.373605  ...  83.617504             83.617504
-    22  3072.0  81.707223  ...  87.651868             89.593522
-    23  3200.0  85.219705  ...  96.385543             96.385543
-    24  3328.0  82.275764  ...  86.011103             85.703924
-    25  3456.0  81.890873  ...  92.455926             92.138932
-    26  3584.0  86.623693  ...  89.290361             94.250936
-    27  3712.0  85.675250  ...  88.092894             84.874549
-    28  3840.0  84.679936  ...  92.468225             85.136259
-    29  3968.0  90.724116  ...  84.974886             90.522206
-    30  4096.0  90.996029  ...  87.438257             92.309303
+    16  2304.0  68.446623  ...  77.558029             77.307030
+    17  2432.0  71.125224  ...  75.726318             74.918570
+    18  2560.0  77.833728  ...  82.331658             81.715711
+    19  2688.0  83.369354  ...  91.404957             91.185232
+    20  2816.0  79.733474  ...  83.873477             83.392363
+    21  2944.0  82.102191  ...  83.758038             84.182483
+    22  3072.0  81.296638  ...  88.473602             87.516392
+    23  3200.0  79.750779  ...  96.168294             95.952022
+    24  3328.0  82.939284  ...  86.528001             85.602017
+    25  3456.0  82.688790  ...  92.455926             86.689860
+    26  3584.0  86.291162  ...  88.152348             94.250936
+    27  3712.0  85.675250  ...  87.706180             87.246590
+    28  3840.0  81.079177  ...  86.875096             91.398346
+    29  3968.0  87.035620  ...  89.525997             84.917596
+    30  4096.0  88.243079  ...  85.161847             91.616198
 
     [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  10.290 seconds)
+   **Total running time of the script:** ( 6 minutes  2.101 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index d1778b13a..8c652cdd2 100644
--- a/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/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  0.013 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index 2c0fa303f..b529603a8 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/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   99.902435  315.076934
-    1    1536.0  409.599994  134.050910  344.523365
-    2    2048.0  496.484863  159.067963  323.368435
-    3    2560.0  461.954908  182.857144  325.079368
-    4    3072.0  519.211251  191.501303  320.556515
-    5    3584.0  554.941930  207.768111  310.527060
-    6    4096.0  564.965515  220.907859  301.546004
-    7    4608.0  502.690905  232.336141  287.251954
-    8    5120.0  529.655159  243.809526  286.433562
-    9    5632.0  542.843364  244.869560  291.310338
-    10   6144.0  550.208948  251.202731  287.438593
-    11   6656.0  534.260858  256.000009  286.793541
-    12   7168.0  510.480705  253.734520  277.919225
-    13   7680.0  487.619051  266.743841  285.325090
-    14   8192.0  468.114289  258.354805  278.087683
-    15   8704.0  415.300208  267.815384  285.377055
-    16   9216.0  430.319054  272.059034  290.267724
-    17   9728.0  438.033784  279.942444  288.950501
-    18  10240.0  445.217381  287.438599  290.840246
-    19  10752.0  427.231788  246.935876  289.941565
-    20  11264.0  427.746848  245.536784  286.372873
-    21  11776.0  419.323436  249.447482  288.981596
-    22  12288.0  415.954875  254.673582  294.323369
-    23  12800.0  410.695192  254.094291  289.811310
-    24  13312.0  410.125805  252.559690  289.391298
-    25  13824.0  404.604870  257.190689  291.799461
-    26  14336.0  396.844280  256.000002  289.129416
-    27  14848.0  386.080180  257.665934  289.012175
-    28  15360.0  378.869469  258.332158  287.550706
-    29  15872.0  372.363640  261.626369  290.562936
+    0    1024.0  356.173905   98.303995  296.096389
+    1    1536.0  409.599994  132.604320  341.333333
+    2    2048.0  491.520012  161.684218  336.657521
+    3    2560.0  461.954908  182.857144  330.322572
+    4    3072.0  519.211251  191.501303  319.168834
+    5    3584.0  558.545477  207.768111  310.527060
+    6    4096.0  564.965515  220.907859  298.796351
+    7    4608.0  502.690905  232.825259  288.751954
+    8    5120.0  529.655159  243.326731  285.767451
+    9    5632.0  545.032265  242.236559  290.060087
+    10   6144.0  550.208948  251.202731  288.563606
+    11   6656.0  530.710976  255.182111  285.257135
+    12   7168.0  512.000004  251.877006  276.134819
+    13   7680.0  483.779539  263.690977  276.756754
+    14   8192.0  465.895721  267.130429  278.876591
+    15   8704.0  414.476194  266.448988  283.440968
+    16   9216.0  428.651187  270.396088  287.625496
+    17   9728.0  438.445087  281.630872  289.667485
+    18  10240.0  444.412281  286.433562  288.112552
+    19  10752.0  427.940303  246.699797  290.267711
+    20  11264.0  427.071098  243.985547  284.564206
+    21  11776.0  421.826879  249.447482  288.981596
+    22  12288.0  418.314886  254.015505  294.323369
+    23  12800.0  413.458944  253.256381  289.538159
+    24  13312.0  409.075539  252.559690  290.443638
+    25  13824.0  403.620451  257.590056  292.056329
+    26  14336.0  400.074432  255.051144  288.160801
+    27  14848.0  384.414233  257.665934  289.717061
+    28  15360.0  378.092318  259.971797  288.225185
+    29  15872.0  370.913333  262.166551  290.562936
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  14.494 seconds)
+   **Total running time of the script:** ( 2 minutes  14.528 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
diff --git a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index 92749a117..0b2b55de4 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**13:40.705** total execution time for **getting-started_tutorials** files:
+**13:21.371** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:10.290 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:02.101 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:28.936 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:27.320 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:14.494 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:14.528 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.974 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:37.409 | 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``)       | 00:00.013 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 81d7d3d19..e835e2b4e 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/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   31.999999
-3       32768.0   76.800002   76.800002
+2       16384.0   38.400001   38.400001
+3       32768.0   63.999998   63.999998
 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  46.974 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  37.409 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>
diff --git a/master/getting-started/tutorials/02-fused-softmax.html b/master/getting-started/tutorials/02-fused-softmax.html
index a8bdae170..c9d9c6998 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -369,16 +369,16 @@ 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
-1     384.0  585.142862      585.142862   151.703707
-2     512.0  655.360017      606.814814   156.038096
-3     640.0  682.666684      640.000002   160.000000
-4     768.0  722.823517      646.736871   163.839992
+0     256.0  512.000001      546.133347   186.181817
+1     384.0  585.142862      585.142862   153.600004
+2     512.0  655.360017      606.814814   154.566038
+3     640.0  682.666684      620.606056   160.000000
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
 93  12160.0  814.058574      405.755985   198.936606
-94  12288.0  814.111783      415.222812   199.197579
-95  12416.0  814.163950      412.149375   198.954424
-96  12544.0  814.214963      412.971190   199.111113
+94  12288.0  815.800825      415.661740   199.298541
+95  12416.0  814.163950      411.722274   198.854847
+96  12544.0  814.214963      412.546756   199.061730
 97  12672.0  814.265046      412.097543   199.167004
 
 [98 rows x 4 columns]
@@ -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  28.936 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  27.320 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>
diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index 454f2879a..b6a38270f 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
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-12  1792.0  72.983276  ...  63.142831             62.790080
-13  1920.0  68.776119  ...  71.626943             71.257735
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-26  3584.0  86.623693  ...  89.290361             94.250936
-27  3712.0  85.675250  ...  88.092894             84.874549
-28  3840.0  84.679936  ...  92.468225             85.136259
-29  3968.0  90.724116  ...  84.974886             90.522206
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diff --git a/v1.1.2/_images/sphx_glr_02-fused-softmax_001.png b/v1.1.2/_images/sphx_glr_02-fused-softmax_001.png
index 9ff608ec9..5349c5294 100644
Binary files a/v1.1.2/_images/sphx_glr_02-fused-softmax_001.png and b/v1.1.2/_images/sphx_glr_02-fused-softmax_001.png differ
diff --git a/v1.1.2/_images/sphx_glr_02-fused-softmax_thumb.png b/v1.1.2/_images/sphx_glr_02-fused-softmax_thumb.png
index 9084a0024..223dee4a0 100644
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diff --git a/v1.1.2/_images/sphx_glr_03-matrix-multiplication_001.png b/v1.1.2/_images/sphx_glr_03-matrix-multiplication_001.png
index 5f3f46130..a38125810 100644
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diff --git a/v1.1.2/_images/sphx_glr_03-matrix-multiplication_thumb.png b/v1.1.2/_images/sphx_glr_03-matrix-multiplication_thumb.png
index 8b5505ce3..218cf6fb5 100644
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diff --git a/v1.1.2/_images/sphx_glr_05-layer-norm_001.png b/v1.1.2/_images/sphx_glr_05-layer-norm_001.png
index 83179e979..a05e82462 100644
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diff --git a/v1.1.2/_images/sphx_glr_05-layer-norm_thumb.png b/v1.1.2/_images/sphx_glr_05-layer-norm_thumb.png
index 16a315846..be4e9dc68 100644
Binary files a/v1.1.2/_images/sphx_glr_05-layer-norm_thumb.png and b/v1.1.2/_images/sphx_glr_05-layer-norm_thumb.png differ
diff --git a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
index 1add2fd4a..c41c22193 100644
--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,10 +234,10 @@ 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   63.999998   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
+    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  702.171410
@@ -254,7 +254,7 @@ 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  40.524 seconds)
+   **Total running time of the script:** ( 1 minutes  43.506 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
index 54fc04a1b..0a06e860c 100644
--- a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ 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      512.000001   188.321838
+    0     256.0  512.000001      546.133347   190.511628
     1     384.0  585.142862      585.142862   151.703707
-    2     512.0  655.360017      606.814814   154.566038
+    2     512.0  655.360017      606.814814   156.038096
     3     640.0  682.666684      640.000002   160.000000
-    4     768.0  722.823517      664.216187   162.754967
+    4     768.0  722.823517      646.736871   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   199.038365
-    94  12288.0  814.111783      415.661740   199.197579
-    95  12416.0  812.498981      411.722274   198.904612
-    96  12544.0  812.566838      412.546756   199.012395
-    97  12672.0  812.633240      412.097543   199.167004
+    93  12160.0  812.359066      405.755985   198.631953
+    94  12288.0  814.111783      415.661740   198.895304
+    95  12416.0  812.498981      412.149375   198.655991
+    96  12544.0  812.566838      412.971190   198.716830
+    97  12672.0  812.633240      412.097543   198.873965
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  22.390 seconds)
+   **Total running time of the script:** ( 3 minutes  23.965 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
index 9e132677d..e235d1b50 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ 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
-    1    384.0   7.372800  ...   8.507077              7.899428
+    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
     3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  31.597714  ...  34.028308             34.028308
+    4    768.0  32.768000  ...  34.028308             34.028308
     5    896.0  37.971025  ...  39.025776             39.025776
     6   1024.0  49.932191  ...  52.428801             52.428801
-    7   1152.0  45.242181  ...  46.656000             46.656000
+    7   1152.0  44.566925  ...  46.656000             46.656000
     8   1280.0  51.200001  ...  56.888887             56.888887
-    9   1408.0  64.138541  ...  67.305878             67.305878
-    10  1536.0  80.430545  ...  79.526831             79.526831
-    11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  71.588687             71.588687
-    13  1920.0  69.120002  ...  70.172588             70.172588
+    9   1408.0  64.138541  ...  67.305878             65.684049
+    10  1536.0  80.430545  ...  79.526831             78.643199
+    11  1664.0  62.929456  ...  62.492442             62.061463
+    12  1792.0  72.983276  ...  72.047592             71.588687
+    13  1920.0  68.776119  ...  70.172588             70.172588
     14  2048.0  73.908442  ...  76.959706             76.608294
-    15  2176.0  83.155572  ...  85.998493             85.269692
-    16  2304.0  68.251065  ...  76.319081             76.563695
-    17  2432.0  71.305746  ...  74.918570             83.864074
-    18  2560.0  77.833728  ...  81.310171             80.908642
-    19  2688.0  83.186525  ...  90.102270             89.254248
-    20  2816.0  82.135981  ...  83.074685             83.392363
-    21  2944.0  80.902653  ...  82.646820             82.509987
-    22  3072.0  81.589488  ...  87.787755             86.447489
-    23  3200.0  80.604535  ...  95.952022             94.814812
-    24  3328.0  82.939284  ...  82.181847             81.901361
-    25  3456.0  81.518272  ...  86.596744             90.180725
-    26  3584.0  87.211821  ...  98.375705             96.579370
-    27  3712.0  82.491612  ...  88.679403             81.153437
-    28  3840.0  84.744825  ...  92.313853             84.355978
-    29  3968.0  92.723355  ...  85.271796             88.744681
-    30  4096.0  89.090569  ...  92.884244             86.202781
+    15  2176.0  83.155572  ...  85.998493             85.632545
+    16  2304.0  68.251065  ...  76.563695             76.319081
+    17  2432.0  71.125224  ...  82.147552             83.366361
+    18  2560.0  77.833728  ...  81.310171             80.313727
+    19  2688.0  83.737433  ...  89.254248             89.676257
+    20  2816.0  82.916747  ...  83.552120             82.446516
+    21  2944.0  82.102191  ...  82.237674             82.102191
+    22  3072.0  82.661468  ...  88.060814             88.335577
+    23  3200.0  84.544253  ...  95.380032             94.814812
+    24  3328.0  82.939284  ...  84.298943             84.496824
+    25  3456.0  80.061141  ...  81.353753             81.192449
+    26  3584.0  87.296493  ...  97.205829             96.943817
+    27  3712.0  80.692524  ...  86.867254             82.118659
+    28  3840.0  80.197243  ...  89.043476             91.322872
+    29  3968.0  85.993854  ...  91.609561             83.922926
+    30  4096.0  93.760204  ...  90.443212             87.267706
 
     [31 rows x 5 columns]
 
@@ -502,7 +502,7 @@ 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  17.895 seconds)
+   **Total running time of the script:** ( 6 minutes  1.444 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index 4683e306e..63f0498f7 100644
--- a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -238,7 +238,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.010 seconds)
+   **Total running time of the script:** ( 0 minutes  0.114 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index 058abbb3c..1a84df01a 100644
--- a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/v1.1.2/_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  307.200008   99.497980  315.076934
-    1    1536.0  347.773587  133.083026  338.201833
-    2    2048.0  423.724127  161.684218  325.509933
-    3    2560.0  458.507457  182.314537  325.079368
-    4    3072.0  515.580429  190.511624  316.429186
-    5    3584.0  551.384634  208.271186  310.527060
-    6    4096.0  568.231237  220.907859  299.707322
-    7    4608.0  498.162157  231.364016  286.507772
-    8    5120.0  527.381977  242.366855  284.444444
-    9    5632.0  540.671974  242.671458  288.820505
-    10   6144.0  540.131844  249.925419  285.767458
-    11   6656.0  528.953642  256.000009  285.257135
-    12   7168.0  508.970395  255.240352  277.470965
-    13   7680.0  485.052616  266.358392  283.569230
-    14   8192.0  461.521112  260.753323  276.134828
-    15   8704.0  416.958106  265.433292  282.291896
-    16   9216.0  427.822068  269.736580  286.693456
-    17   9728.0  438.857162  282.996365  291.112221
-    18  10240.0  445.217381  286.433562  290.496460
-    19  10752.0  423.724151  245.760009  290.267711
-    20  11264.0  428.424741  243.765566  284.864065
-    21  11776.0  424.360356  249.667843  288.981596
-    22  12288.0  420.701865  253.578674  294.617366
-    23  12800.0  416.260178  254.304635  290.909089
-    24  13312.0  412.775186  253.360814  291.237929
-    25  13824.0  405.098897  257.990666  292.571423
-    26  14336.0  400.540153  252.802351  287.438588
-    27  14848.0  383.586664  260.110958  292.811844
-    28  15360.0  378.869469  261.076480  290.267715
-    29  15872.0  369.116300  261.267482  289.239176
+    1    1536.0  351.085717  134.050910  344.523365
+    2    2048.0  427.408686  159.067963  332.108094
+    3    2560.0  458.507457  182.857144  330.322572
+    4    3072.0  519.211251  191.501303  316.429186
+    5    3584.0  551.384634  207.768111  310.527060
+    6    4096.0  568.231237  220.907859  298.796351
+    7    4608.0  498.162157  232.336141  289.507855
+    8    5120.0  529.655159  243.326731  289.811322
+    9    5632.0  540.671974  244.426754  291.310338
+    10   6144.0  550.208948  251.202731  287.438593
+    11   6656.0  534.260858  256.000009  286.279570
+    12   7168.0  516.612607  253.734520  277.919225
+    13   7680.0  488.912481  266.743841  280.547947
+    14   8192.0  463.698115  258.354805  278.481578
+    15   8704.0  416.958106  267.472468  285.377055
+    16   9216.0  430.319054  272.394084  290.267724
+    17   9728.0  437.213490  280.278512  288.950501
+    18  10240.0  446.836366  287.102804  290.153487
+    19  10752.0  430.079980  246.464170  289.941565
+    20  11264.0  430.471331  245.536784  286.069848
+    21  11776.0  421.198220  249.007923  288.686414
+    22  12288.0  418.314886  254.453844  294.323369
+    23  12800.0  414.574901  253.465340  289.538159
+    24  13312.0  412.775186  252.559690  289.129403
+    25  13824.0  404.604870  256.792581  291.799461
+    26  14336.0  395.930964  256.190622  289.129416
+    27  14848.0  386.918555  257.479779  289.012175
+    28  15360.0  376.547496  258.332158  287.326580
+    29  15872.0  369.116300  261.626369  290.784741
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.224 seconds)
+   **Total running time of the script:** ( 2 minutes  13.521 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index b6c1c4777..5a47e7fb0 100644
--- a/v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**12:33.042** total execution time for **getting-started_tutorials** files:
+**13:22.551** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:17.895 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:01.444 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.390 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.965 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.224 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:13.521 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.524 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.506 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.010 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.114 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/v1.1.2/getting-started/tutorials/01-vector-add.html b/v1.1.2/getting-started/tutorials/01-vector-add.html
index c67d5f38b..89d030544 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,10 +324,10 @@ 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   63.999998   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
+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  702.171410
@@ -339,7 +339,7 @@ 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  40.524 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.506 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>
diff --git a/v1.1.2/getting-started/tutorials/02-fused-softmax.html b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
index 5e1a5af90..870b9678d 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,17 +374,17 @@ 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      512.000001   188.321838
+0     256.0  512.000001      546.133347   190.511628
 1     384.0  585.142862      585.142862   151.703707
-2     512.0  655.360017      606.814814   154.566038
+2     512.0  655.360017      606.814814   156.038096
 3     640.0  682.666684      640.000002   160.000000
-4     768.0  722.823517      664.216187   162.754967
+4     768.0  722.823517      646.736871   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   199.038365
-94  12288.0  814.111783      415.661740   199.197579
-95  12416.0  812.498981      411.722274   198.904612
-96  12544.0  812.566838      412.546756   199.012395
-97  12672.0  812.633240      412.097543   199.167004
+93  12160.0  812.359066      405.755985   198.631953
+94  12288.0  814.111783      415.661740   198.895304
+95  12416.0  812.498981      412.149375   198.655991
+96  12544.0  812.566838      412.971190   198.716830
+97  12672.0  812.633240      412.097543   198.873965
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ 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>
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 <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">
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diff --git a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
index eb37cc474..ef4b28f06 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,42 +568,42 @@ 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
-1    384.0   7.372800  ...   8.507077              7.899428
+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
 3    640.0  22.260869  ...  24.380953             24.380953
-4    768.0  31.597714  ...  34.028308             34.028308
+4    768.0  32.768000  ...  34.028308             34.028308
 5    896.0  37.971025  ...  39.025776             39.025776
 6   1024.0  49.932191  ...  52.428801             52.428801
-7   1152.0  45.242181  ...  46.656000             46.656000
+7   1152.0  44.566925  ...  46.656000             46.656000
 8   1280.0  51.200001  ...  56.888887             56.888887
-9   1408.0  64.138541  ...  67.305878             67.305878
-10  1536.0  80.430545  ...  79.526831             79.526831
-11  1664.0  63.372618  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  71.588687             71.588687
-13  1920.0  69.120002  ...  70.172588             70.172588
+9   1408.0  64.138541  ...  67.305878             65.684049
+10  1536.0  80.430545  ...  79.526831             78.643199
+11  1664.0  62.929456  ...  62.492442             62.061463
+12  1792.0  72.983276  ...  72.047592             71.588687
+13  1920.0  68.776119  ...  70.172588             70.172588
 14  2048.0  73.908442  ...  76.959706             76.608294
-15  2176.0  83.155572  ...  85.998493             85.269692
-16  2304.0  68.251065  ...  76.319081             76.563695
-17  2432.0  71.305746  ...  74.918570             83.864074
-18  2560.0  77.833728  ...  81.310171             80.908642
-19  2688.0  83.186525  ...  90.102270             89.254248
-20  2816.0  82.135981  ...  83.074685             83.392363
-21  2944.0  80.902653  ...  82.646820             82.509987
-22  3072.0  81.589488  ...  87.787755             86.447489
-23  3200.0  80.604535  ...  95.952022             94.814812
-24  3328.0  82.939284  ...  82.181847             81.901361
-25  3456.0  81.518272  ...  86.596744             90.180725
-26  3584.0  87.211821  ...  98.375705             96.579370
-27  3712.0  82.491612  ...  88.679403             81.153437
-28  3840.0  84.744825  ...  92.313853             84.355978
-29  3968.0  92.723355  ...  85.271796             88.744681
-30  4096.0  89.090569  ...  92.884244             86.202781
+15  2176.0  83.155572  ...  85.998493             85.632545
+16  2304.0  68.251065  ...  76.563695             76.319081
+17  2432.0  71.125224  ...  82.147552             83.366361
+18  2560.0  77.833728  ...  81.310171             80.313727
+19  2688.0  83.737433  ...  89.254248             89.676257
+20  2816.0  82.916747  ...  83.552120             82.446516
+21  2944.0  82.102191  ...  82.237674             82.102191
+22  3072.0  82.661468  ...  88.060814             88.335577
+23  3200.0  84.544253  ...  95.380032             94.814812
+24  3328.0  82.939284  ...  84.298943             84.496824
+25  3456.0  80.061141  ...  81.353753             81.192449
+26  3584.0  87.296493  ...  97.205829             96.943817
+27  3712.0  80.692524  ...  86.867254             82.118659
+28  3840.0  80.197243  ...  89.043476             91.322872
+29  3968.0  85.993854  ...  91.609561             83.922926
+30  4096.0  93.760204  ...  90.443212             87.267706
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
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 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.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">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
index 12b20c2ba..1be593830 100644
--- a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
+++ b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
@@ -371,7 +371,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
 </dd>
 </dl>
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diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index daa825305..7cff1c87c 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -195,35 +195,35 @@ to download the full example code</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
           N      Triton       Torch        Apex
 0    1024.0  307.200008   99.497980  315.076934
-1    1536.0  347.773587  133.083026  338.201833
-2    2048.0  423.724127  161.684218  325.509933
-3    2560.0  458.507457  182.314537  325.079368
-4    3072.0  515.580429  190.511624  316.429186
-5    3584.0  551.384634  208.271186  310.527060
-6    4096.0  568.231237  220.907859  299.707322
-7    4608.0  498.162157  231.364016  286.507772
-8    5120.0  527.381977  242.366855  284.444444
-9    5632.0  540.671974  242.671458  288.820505
-10   6144.0  540.131844  249.925419  285.767458
-11   6656.0  528.953642  256.000009  285.257135
-12   7168.0  508.970395  255.240352  277.470965
-13   7680.0  485.052616  266.358392  283.569230
-14   8192.0  461.521112  260.753323  276.134828
-15   8704.0  416.958106  265.433292  282.291896
-16   9216.0  427.822068  269.736580  286.693456
-17   9728.0  438.857162  282.996365  291.112221
-18  10240.0  445.217381  286.433562  290.496460
-19  10752.0  423.724151  245.760009  290.267711
-20  11264.0  428.424741  243.765566  284.864065
-21  11776.0  424.360356  249.667843  288.981596
-22  12288.0  420.701865  253.578674  294.617366
-23  12800.0  416.260178  254.304635  290.909089
-24  13312.0  412.775186  253.360814  291.237929
-25  13824.0  405.098897  257.990666  292.571423
-26  14336.0  400.540153  252.802351  287.438588
-27  14848.0  383.586664  260.110958  292.811844
-28  15360.0  378.869469  261.076480  290.267715
-29  15872.0  369.116300  261.267482  289.239176
+1    1536.0  351.085717  134.050910  344.523365
+2    2048.0  427.408686  159.067963  332.108094
+3    2560.0  458.507457  182.857144  330.322572
+4    3072.0  519.211251  191.501303  316.429186
+5    3584.0  551.384634  207.768111  310.527060
+6    4096.0  568.231237  220.907859  298.796351
+7    4608.0  498.162157  232.336141  289.507855
+8    5120.0  529.655159  243.326731  289.811322
+9    5632.0  540.671974  244.426754  291.310338
+10   6144.0  550.208948  251.202731  287.438593
+11   6656.0  534.260858  256.000009  286.279570
+12   7168.0  516.612607  253.734520  277.919225
+13   7680.0  488.912481  266.743841  280.547947
+14   8192.0  463.698115  258.354805  278.481578
+15   8704.0  416.958106  267.472468  285.377055
+16   9216.0  430.319054  272.394084  290.267724
+17   9728.0  437.213490  280.278512  288.950501
+18  10240.0  446.836366  287.102804  290.153487
+19  10752.0  430.079980  246.464170  289.941565
+20  11264.0  430.471331  245.536784  286.069848
+21  11776.0  421.198220  249.007923  288.686414
+22  12288.0  418.314886  254.453844  294.323369
+23  12800.0  414.574901  253.465340  289.538159
+24  13312.0  412.775186  252.559690  289.129403
+25  13824.0  404.604870  256.792581  291.799461
+26  14336.0  395.930964  256.190622  289.129416
+27  14848.0  386.918555  257.479779  289.012175
+28  15360.0  376.547496  258.332158  287.326580
+29  15872.0  369.116300  261.626369  290.784741
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 <div class="line-block">
@@ -477,7 +477,7 @@ to download the full example code</p>
 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-05-layer-norm-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.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">05-layer-norm.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/sg_execution_times.html b/v1.1.2/getting-started/tutorials/sg_execution_times.html
index 0c1ede6bc..5ac118560 100644
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@@ -174,7 +174,7 @@
             
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 <table class="docutils align-default">
 <colgroup>
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