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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 d0bfa8563..b562b6e0c 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 98f3477e6..0fc67f6e2 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,17 +235,17 @@ 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   76.800002   76.800002
+    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
+    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  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  842.004273
+    13   33554432.0  842.004273  843.811163
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  40.635 seconds)
+   **Total running time of the script:** ( 1 minutes  45.983 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 7926904a9..20028afe5 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/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   192.752942
+    0     256.0  512.000001      546.133347   190.511628
     1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
     3     640.0  706.206879      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.530610
-    94  12288.0  814.111783      415.661740   198.895304
-    95  12416.0  814.163950      412.149375   198.457532
-    96  12544.0  814.214963      412.971190   198.618504
-    97  12672.0  814.265046      411.679167   198.776477
+    93  12160.0  814.058574      405.755985   198.834951
+    94  12288.0  814.111783      415.661740   199.096718
+    95  12416.0  814.163950      411.722274   198.755369
+    96  12544.0  814.214963      412.971190   198.913776
+    97  12672.0  814.265046      412.097543   199.069228
 
     [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  21.561 seconds)
+   **Total running time of the script:** ( 3 minutes  22.256 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 28182621f..6fae87b75 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   2.978909  ...   3.276800              3.276800
-    1    384.0   7.372800  ...   7.899428              7.899428
-    2    512.0  14.563555  ...  16.384000             16.384000
+    0    256.0   2.978909  ...   3.276800              2.978909
+    1    384.0   7.372800  ...   8.507077              7.899428
+    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  39.025776  ...  40.140799             39.025776
-    6   1024.0  51.150050  ...  52.428801             52.428801
+    6   1024.0  51.150050  ...  53.773130             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             78.643199
-    11  1664.0  62.929456  ...  62.492442             62.061463
-    12  1792.0  72.512412  ...  72.047592             72.047592
-    13  1920.0  68.776119  ...  70.172588             69.818184
-    14  2048.0  73.262953  ...  76.608294             76.260072
-    15  2176.0  83.155572  ...  85.998493             85.269692
-    16  2304.0  68.446623  ...  76.319081             76.319081
-    17  2432.0  71.487187  ...  74.918570             84.621881
-    18  2560.0  77.833728  ...  81.108913             80.908642
-    19  2688.0  83.737433  ...  89.888756             89.676257
-    20  2816.0  82.290955  ...  82.916747             82.602666
-    21  2944.0  82.102191  ...  79.865439             82.921853
-    22  3072.0  81.355034  ...  87.516392             86.184329
-    23  3200.0  83.224970  ...  90.909090             89.260810
-    24  3328.0  80.798314  ...  83.226931             84.596116
-    25  3456.0  82.266905  ...  90.382926             90.994998
-    26  3584.0  84.111686  ...  92.600816             94.448944
-    27  3712.0  85.528545  ...  85.163978             88.170647
-    28  3840.0  80.197243  ...  86.197974             91.473945
-    29  3968.0  85.991957  ...  90.791620             85.093402
-    30  4096.0  92.852115  ...  82.493991             82.241256
+    10  1536.0  79.526831  ...  79.526831             78.643199
+    11  1664.0  62.929456  ...  62.492442             62.492442
+    12  1792.0  72.983276  ...  72.047592             72.047592
+    13  1920.0  69.467336  ...  70.172588             69.818184
+    14  2048.0  73.262953  ...  76.608294             76.608294
+    15  2176.0  83.500614  ...  86.367588             85.632545
+    16  2304.0  68.446623  ...  76.809875             76.809875
+    17  2432.0  71.396351  ...  83.614477             85.393507
+    18  2560.0  78.019048  ...  81.108913             80.709358
+    19  2688.0  83.737433  ...  89.676257             89.676257
+    20  2816.0  82.135981  ...  82.916747             82.916747
+    21  2944.0  82.237674  ...  82.237674             82.102191
+    22  3072.0  80.089253  ...  88.473602             88.335577
+    23  3200.0  83.116885  ...  95.238096             95.380032
+    24  3328.0  82.369902  ...  84.003845             84.200347
+    25  3456.0  80.220468  ...  86.503829             87.536988
+    26  3584.0  86.457107  ...  98.268190             98.268190
+    27  3712.0  80.757757  ...  87.783251             84.946722
+    28  3840.0  83.027026  ...  90.574940             84.613126
+    29  3968.0  87.976885  ...  85.212248             87.035620
+    30  4096.0  91.992956  ...  92.755862             86.092193
 
     [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  0.809 seconds)
+   **Total running time of the script:** ( 6 minutes  2.552 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 7338e7590..9164abb9a 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  0.493 seconds)
+   **Total running time of the script:** ( 0 minutes  0.483 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 3b27be0b2..5a94641fa 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  311.088617   98.303995  307.200008
-    1    1536.0  347.773587  134.050910  344.523365
-    2    2048.0  420.102553  161.684218  334.367350
-    3    2560.0  455.111129  181.775141  328.556154
-    4    3072.0  511.999982  192.501302  321.956335
-    5    3584.0  547.872604  208.271186  311.652167
-    6    4096.0  568.231237  220.412561  297.890900
-    7    4608.0  504.986315  233.316456  287.251954
-    8    5120.0  527.381977  242.845844  285.104413
-    9    5632.0  545.032265  243.545956  289.438969
-    10   6144.0  546.133354  248.661056  286.322318
-    11   6656.0  534.260858  256.000009  286.279570
-    12   7168.0  505.976473  260.654538  286.242939
-    13   7680.0  482.513091  262.564106  279.272719
-    14   8192.0  463.698115  267.493874  284.526763
-    15   8704.0  418.629245  267.815384  284.987724
-    16   9216.0  432.845409  272.394084  288.751954
-    17   9728.0  438.857162  280.446849  290.027323
-    18  10240.0  449.287041  286.767793  290.840246
-    19  10752.0  426.525614  247.172406  290.922209
-    20  11264.0  427.071098  245.760001  286.676558
-    21  11776.0  423.724129  249.888595  288.981596
-    22  12288.0  420.102570  254.673582  294.617366
-    23  12800.0  413.458944  253.674644  288.450715
-    24  13312.0  411.711355  252.759501  289.916513
-    25  13824.0  405.594132  257.390218  292.056329
-    26  14336.0  395.021816  254.297107  286.719986
-    27  14848.0  386.498925  257.665934  289.246765
-    28  15360.0  373.117425  257.970599  287.326580
-    29  15872.0  371.274849  261.806182  289.899545
+    0    1024.0  307.200008   99.902435  311.088617
+    1    1536.0  351.085717  133.083026  341.333333
+    2    2048.0  423.724127  159.067963  321.254900
+    3    2560.0  451.764698  182.857144  323.368411
+    4    3072.0  515.580429  191.501303  319.168834
+    5    3584.0  551.384634  208.271186  310.527060
+    6    4096.0  568.231237  220.412561  299.707322
+    7    4608.0  504.986315  232.825259  286.507772
+    8    5120.0  531.948056  244.294240  286.433562
+    9    5632.0  542.843364  244.869560  291.939522
+    10   6144.0  552.269672  251.631408  288.000001
+    11   6656.0  537.858601  255.590406  286.793541
+    12   7168.0  516.612607  254.485198  278.368936
+    13   7680.0  487.619051  266.743841  284.884090
+    14   8192.0  467.002371  257.003920  276.912679
+    15   8704.0  418.629245  267.815384  286.158893
+    16   9216.0  432.000001  273.404206  289.887291
+    17   9728.0  442.181815  280.615388  289.667485
+    18  10240.0  448.467168  287.102804  290.840246
+    19  10752.0  428.651173  246.464170  289.616170
+    20  11264.0  427.746848  246.432094  286.980888
+    21  11776.0  421.826879  249.888595  288.981596
+    22  12288.0  417.131525  254.893699  294.617366
+    23  12800.0  415.696898  253.674644  290.359162
+    24  13312.0  410.125805  252.559690  289.653667
+    25  13824.0  402.640783  257.190689  292.056329
+    26  14336.0  396.387109  255.240352  289.129416
+    27  14848.0  383.174202  257.293872  287.844912
+    28  15360.0  374.253788  258.513318  286.879376
+    29  15872.0  368.402336  262.347108  290.120338
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.386 seconds)
+   **Total running time of the script:** ( 2 minutes  11.369 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 6a63c36a7..0b0f5d66a 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
 =================
-**13:15.884** total execution time for **getting-started_tutorials** files:
+**13:22.642** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:00.809 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:02.552 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.561 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.256 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.386 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.369 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.635 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.983 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.493 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.483 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 719b3824f..004842ed2 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -325,22 +325,22 @@ 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   76.800002   76.800002
+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
+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  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  842.004273
+13   33554432.0  842.004273  843.811163
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.635 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.983 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 86475d43c..27a51d20c 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/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   192.752942
+0     256.0  512.000001      546.133347   190.511628
 1     384.0  614.400016      585.142862   153.600004
 2     512.0  655.360017      606.814814   154.566038
 3     640.0  706.206879      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.530610
-94  12288.0  814.111783      415.661740   198.895304
-95  12416.0  814.163950      412.149375   198.457532
-96  12544.0  814.214963      412.971190   198.618504
-97  12672.0  814.265046      411.679167   198.776477
+93  12160.0  814.058574      405.755985   198.834951
+94  12288.0  814.111783      415.661740   199.096718
+95  12416.0  814.163950      411.722274   198.755369
+96  12544.0  814.214963      412.971190   198.913776
+97  12672.0  814.265046      412.097543   199.069228
 
 [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  21.561 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.256 seconds)</p>
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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 75d30cccc..9c1babf81 100644
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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 904121a75..cc7663e0d 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 9665625cc..fda038b13 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 b1135d12a..b96058e7b 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 aad2602e0..56a0d3289 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 541cee634..4dfcef403 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 7decc7d14..eff912038 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
@@ -233,18 +233,18 @@ 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   38.400001
-    3       32768.0   63.999998   63.999998
+    2       16384.0   31.999999   38.400001
+    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  384.000001
+    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  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  843.811163
+    13   33554432.0  842.004273  842.004273
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -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  42.564 seconds)
+   **Total running time of the script:** ( 1 minutes  40.495 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 c544c2a01..5b1bd6d36 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
@@ -286,16 +286,16 @@ 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
+    0     256.0  512.000001      546.133347   190.511628
     1     384.0  585.142862      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
     3     640.0  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.834951
+    93  12160.0  814.058574      406.179533   198.936606
     94  12288.0  814.111783      415.661740   199.197579
-    95  12416.0  812.498981      412.149375   198.755369
-    96  12544.0  812.566838      412.971190   198.913776
+    95  12416.0  812.498981      412.577363   198.755369
+    96  12544.0  812.566838      412.971190   199.012395
     97  12672.0  812.633240      412.097543   199.069228
 
     [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  23.367 seconds)
+   **Total running time of the script:** ( 3 minutes  23.196 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 4131740d9..de50b2141 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
@@ -462,7 +462,7 @@ 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  ...   3.276800              2.978909
+    0    256.0   2.978909  ...   3.276800              3.276800
     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
@@ -476,23 +476,23 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     11  1664.0  62.929456  ...  62.492442             62.061463
     12  1792.0  72.512412  ...  72.047592             71.588687
     13  1920.0  68.776119  ...  70.172588             70.172588
-    14  2048.0  73.584279  ...  76.608294             76.959706
-    15  2176.0  83.500614  ...  85.632545             84.909907
-    16  2304.0  68.446623  ...  76.809875             76.076024
-    17  2432.0  71.125224  ...  85.134737             84.115159
-    18  2560.0  78.019048  ...  80.709358             80.313727
-    19  2688.0  83.552988  ...  89.464755             88.836198
-    20  2816.0  82.290955  ...  83.233226             82.602666
-    21  2944.0  82.102191  ...  82.646820             82.646820
-    22  3072.0  81.825298  ...  88.197981             88.060814
-    23  3200.0  84.656085  ...  95.238096             94.674553
-    24  3328.0  83.034941  ...  82.275764             81.162679
-    25  3456.0  81.683457  ...  89.579522             91.200871
-    26  3584.0  87.127323  ...  90.458141             94.548254
-    27  3712.0  85.455380  ...  88.092894             91.481080
-    28  3840.0  82.041542  ...  87.148936             91.097196
-    29  3968.0  85.869991  ...  90.522206             87.913500
-    30  4096.0  92.755862  ...  81.991628             90.018600
+    14  2048.0  73.584279  ...  76.959706             76.608294
+    15  2176.0  83.500614  ...  85.998493             85.269692
+    16  2304.0  68.544825  ...  77.057651             76.076024
+    17  2432.0  71.305746  ...  84.877538             84.877538
+    18  2560.0  78.019048  ...  80.709358             80.908642
+    19  2688.0  83.004501  ...  89.676257             89.044730
+    20  2816.0  83.074685  ...  82.995641             83.233226
+    21  2944.0  82.509987  ...  81.564701             82.237674
+    22  3072.0  82.003045  ...  88.335577             86.845249
+    23  3200.0  82.262212  ...  91.954023             92.086332
+    24  3328.0  80.527177  ...  84.895397             84.995628
+    25  3456.0  82.773682  ...  91.200871             90.892410
+    26  3584.0  84.825838  ...  91.656871             94.947616
+    27  3712.0  85.601834  ...  88.955788             86.791782
+    28  3840.0  80.255442  ...  86.265212             91.549669
+    29  3968.0  88.040360  ...  91.130650             84.797731
+    30  4096.0  93.531519  ...  88.243079             86.258181
 
     [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  27.871 seconds)
+   **Total running time of the script:** ( 5 minutes  29.403 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.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 bb674049a..7e6982f4c 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
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  307.200008   98.303995  303.407414
-    1    1536.0  351.085717  134.050910  341.333333
-    2    2048.0  423.724127  161.684218  334.367350
-    3    2560.0  465.454542  181.238943  328.556154
-    4    3072.0  511.999982  191.999993  320.556515
-    5    3584.0  551.384634  207.768111  310.527060
-    6    4096.0  568.231237  220.412561  298.796351
+    0    1024.0  311.088617   98.303995  307.200008
+    1    1536.0  351.085717  134.540150  341.333333
+    2    2048.0  423.724127  161.684218  325.509933
+    3    2560.0  465.454542  181.775141  326.808501
+    4    3072.0  515.580429  192.501302  320.556515
+    5    3584.0  554.941930  208.271186  310.527060
+    6    4096.0  571.534884  220.412561  299.707322
     7    4608.0  498.162157  232.825259  287.251954
-    8    5120.0  527.381977  242.845844  285.104413
-    9    5632.0  540.671974  243.107920  290.683877
-    10   6144.0  544.118087  248.242431  286.322318
+    8    5120.0  527.381977  242.845844  287.775181
+    9    5632.0  540.671974  243.545956  289.438969
+    10   6144.0  544.118087  248.661056  286.879370
     11   6656.0  532.479975  256.000009  285.767438
     12   7168.0  507.469040  260.654538  286.242939
-    13   7680.0  479.999983  262.190612  274.694491
-    14   8192.0  463.698115  266.767970  284.939124
-    15   8704.0  416.958106  267.472468  284.212242
-    16   9216.0  429.483477  272.059034  288.751954
-    17   9728.0  437.213490  280.615388  289.667485
-    18  10240.0  449.287041  286.433562  287.438599
-    19  10752.0  428.651173  247.172406  290.922209
-    20  11264.0  429.104745  245.536784  286.980888
-    21  11776.0  423.724129  249.667843  288.981596
+    13   7680.0  479.999983  262.564106  278.850215
+    14   8192.0  463.698115  267.130429  284.939124
+    15   8704.0  416.958106  267.472468  284.599455
+    16   9216.0  429.483477  272.729961  288.751954
+    17   9728.0  437.213490  280.278512  290.027323
+    18  10240.0  449.287041  286.433562  290.153487
+    19  10752.0  428.651173  246.935876  290.922209
+    20  11264.0  429.104745  245.536784  286.676558
+    21  11776.0  423.724129  249.888595  288.981596
     22  12288.0  420.102570  254.673582  294.323369
-    23  12800.0  414.574901  253.256381  289.538159
-    24  13312.0  411.711355  252.559690  289.916513
+    23  12800.0  414.574901  253.674644  288.180121
+    24  13312.0  411.711355  252.959629  290.179836
     25  13824.0  405.098897  257.390218  292.056329
-    26  14336.0  395.021816  254.297107  286.719986
-    27  14848.0  385.662341  257.665934  289.246765
-    28  15360.0  373.874218  257.790220  287.102804
-    29  15872.0  369.832994  261.806182  289.899545
+    26  14336.0  395.021816  254.297107  286.839504
+    27  14848.0  386.080180  257.665934  289.246765
+    28  15360.0  373.495460  257.970599  286.322325
+    29  15872.0  370.192407  261.626369  289.899545
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  13.380 seconds)
+   **Total running time of the script:** ( 2 minutes  12.617 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 a2df78e22..93b95e323 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
 =================
-**12:47.192** total execution time for **getting-started_tutorials** files:
+**12:45.723** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:27.871 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:29.403 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.367 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.196 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:13.380 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.617 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.564 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.495 | 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``)       | 00:00.011 | 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 6f26bb209..4d750071f 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,23 +323,23 @@ 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   38.400001
-3       32768.0   63.999998   63.999998
+2       16384.0   31.999999   38.400001
+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  384.000001
+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  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  843.811163
+13   33554432.0  842.004273  842.004273
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  42.564 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.495 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 6bb60bf53..f361c0b3a 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,16 +374,16 @@ 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
+0     256.0  512.000001      546.133347   190.511628
 1     384.0  585.142862      585.142862   153.600004
 2     512.0  655.360017      606.814814   154.566038
 3     640.0  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.834951
+93  12160.0  814.058574      406.179533   198.936606
 94  12288.0  814.111783      415.661740   199.197579
-95  12416.0  812.498981      412.149375   198.755369
-96  12544.0  812.566838      412.971190   198.913776
+95  12416.0  812.498981      412.577363   198.755369
+96  12544.0  812.566838      412.971190   199.012395
 97  12672.0  812.633240      412.097543   199.069228
 
 [98 rows x 4 columns]
@@ -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>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.367 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.196 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">
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+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
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-14  2048.0  73.584279  ...  76.608294             76.959706
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