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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 b5ee67e62..93488c33c 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 4d7a6dc78..ef43a0339 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -240,19 +240,19 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    4.800000    9.600000
     1        8192.0    9.600000   19.200000
     2       16384.0   17.454545   38.400001
-    3       32768.0   34.909091   63.999998
+    3       32768.0   34.909091   76.800002
     4       65536.0   69.818181  127.999995
     5      131072.0  139.636363  219.428568
-    6      262144.0  236.307695  384.000001
+    6      262144.0  219.428568  341.333321
     7      524288.0  361.411758  472.615390
     8     1048576.0  472.615390  614.400016
     9     2097152.0  599.414644  702.171410
-    10    4194304.0  712.347810  780.190482
-    11    8388608.0  774.047204  812.429770
+    10    4194304.0  702.171410  780.190482
+    11    8388608.0  768.000002  812.429770
     12   16777216.0  812.429770  833.084721
     13   33554432.0  831.323480  842.004273
     14   67108864.0  841.103727  848.362445
-    15  134217728.0  846.080710  850.656574
+    15  134217728.0  845.625825  850.656574
 
 
 
@@ -260,7 +260,7 @@ 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  38.540 seconds)
+   **Total running time of the script:** ( 1 minutes  34.363 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 198a43b0b..f3cd48bdf 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -279,16 +279,16 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
     0     256.0  512.000001      546.133347   188.321838
-    1     384.0  585.142862      585.142862   151.703707
-    2     512.0  655.360017      585.142849   156.038096
-    3     640.0  682.666684      640.000002   160.000000
+    1     384.0  585.142862      585.142862   149.853661
+    2     512.0  655.360017      585.142849   154.566038
+    3     640.0  682.666684      640.000002   158.759699
     4     768.0  722.823517      646.736871   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      405.755985   198.834951
-    94  12288.0  814.111783      415.222812   199.096718
-    95  12416.0  814.163950      412.149375   198.755369
-    96  12544.0  814.214963      412.971190   198.913776
-    97  12672.0  814.265046      412.097543   199.069228
+    93  12160.0  814.058574      405.755985   198.733401
+    94  12288.0  814.111783      415.661740   198.895304
+    95  12416.0  814.163950      412.149375   198.655991
+    96  12544.0  814.214963      412.971190   198.815254
+    97  12672.0  814.265046      412.097543   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  26.985 seconds)
+   **Total running time of the script:** ( 3 minutes  26.378 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 700627d15..f1dcfd64b 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,36 +459,36 @@ 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  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             16.384000
+    1    384.0   7.372800  ...   7.899428              7.899428
+    2    512.0  14.563555  ...  15.420235             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  35.389441             34.028308
     5    896.0  37.971025  ...  40.140799             40.140799
-    6   1024.0  49.932191  ...  53.773130             53.773130
-    7   1152.0  45.242181  ...  48.161033             47.396572
-    8   1280.0  51.200001  ...  58.514284             57.690139
-    9   1408.0  64.138541  ...  69.009825             68.147202
-    10  1536.0  80.430545  ...  80.430545             80.430545
+    6   1024.0  49.932191  ...  53.773130             52.428801
+    7   1152.0  44.566925  ...  47.396572             47.396572
+    8   1280.0  51.200001  ...  57.690139             57.690139
+    9   1408.0  64.138541  ...  68.147202             68.147202
+    10  1536.0  79.526831  ...  80.430545             80.430545
     11  1664.0  62.929456  ...  63.372618             62.929456
-    12  1792.0  72.983276  ...  63.499573             63.142831
-    13  1920.0  69.467336  ...  71.257735             71.257735
+    12  1792.0  72.983276  ...  63.142831             63.142831
+    13  1920.0  69.120002  ...  71.626943             70.892307
     14  2048.0  73.908442  ...  78.398206             78.033565
-    15  2176.0  83.155572  ...  87.115360             86.739860
-    16  2304.0  68.446623  ...  77.810656             77.307030
-    17  2432.0  71.125224  ...  75.522751             75.118889
-    18  2560.0  77.833728  ...  82.331658             81.715711
-    19  2688.0  83.552988  ...  90.102270             90.748936
-    20  2816.0  79.587973  ...  83.552120             83.552120
-    21  2944.0  82.237674  ...  82.646820             82.784108
-    22  3072.0  82.181572  ...  89.310890             87.246694
-    23  3200.0  78.817733  ...  96.240602             96.096095
-    24  3328.0  82.939284  ...  85.602017             85.806075
-    25  3456.0  78.655188  ...  92.086311             90.994998
-    26  3584.0  83.101104  ...  90.276496             95.249353
-    27  3712.0  85.675250  ...  85.091436             89.114488
-    28  3840.0  79.562590  ...  91.322872             85.136259
-    29  3968.0  93.076994  ...  79.133552             85.510815
-    30  4096.0  87.666706  ...  92.723821             87.267706
+    15  2176.0  83.155572  ...  87.115360             86.367588
+    16  2304.0  68.251065  ...  77.307030             77.307030
+    17  2432.0  71.125224  ...  75.522751             75.320281
+    18  2560.0  77.833728  ...  82.125311             81.715711
+    19  2688.0  82.106182  ...  90.966561             90.102270
+    20  2816.0  80.026067  ...  79.806423             83.392363
+    21  2944.0  81.166173  ...  83.337844             83.060049
+    22  3072.0  80.316458  ...  88.750943             87.246694
+    23  3200.0  79.651524  ...  96.168294             96.676741
+    24  3328.0  83.034941  ...  85.602017             82.843841
+    25  3456.0  79.430113  ...  92.033756             84.508982
+    26  3584.0  84.905939  ...  88.236146             94.548254
+    27  3712.0  85.455380  ...  85.565182             84.946722
+    28  3840.0  84.744825  ...  92.895423             85.533390
+    29  3968.0  91.472214  ...  84.856701             92.093539
+    30  4096.0  86.591209  ...  94.121827             86.035284
 
     [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  12.272 seconds)
+   **Total running time of the script:** ( 6 minutes  11.287 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..1644ef41a 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  0.014 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 3af0558be..25220739d 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  491.520012  159.067963  332.108094
-    3    2560.0  461.954908  182.857144  330.322572
-    4    3072.0  519.211251  191.501303  317.793096
-    5    3584.0  554.941930  207.768111  310.527060
-    6    4096.0  561.737163  220.907859  299.707322
-    7    4608.0  502.690905  232.336141  288.751954
-    8    5120.0  527.381977  243.809526  289.129408
-    9    5632.0  540.671974  244.869560  291.310338
-    10   6144.0  550.208948  251.202731  287.438593
-    11   6656.0  532.479975  255.590406  286.793541
-    12   7168.0  510.480705  253.360829  277.470965
-    13   7680.0  487.619051  266.743841  285.325090
-    14   8192.0  468.114289  258.354805  278.087683
-    15   8704.0  414.476194  267.815384  285.377055
+    0    1024.0  356.173905   99.902435  315.076934
+    1    1536.0  405.098894  134.050910  344.523365
+    2    2048.0  491.520012  159.067963  334.367350
+    3    2560.0  458.507457  182.314537  330.322572
+    4    3072.0  519.211251  191.501303  321.956335
+    5    3584.0  554.941930  207.768111  309.410081
+    6    4096.0  568.231237  220.907859  299.707322
+    7    4608.0  502.690905  232.336141  287.251954
+    8    5120.0  527.381977  243.809526  286.433562
+    9    5632.0  540.671974  244.426754  291.939522
+    10   6144.0  550.208948  251.202731  288.000001
+    11   6656.0  530.710976  255.590406  286.793541
+    12   7168.0  510.480705  253.734520  277.470965
+    13   7680.0  487.619051  266.358392  284.884090
+    14   8192.0  468.114289  258.354805  278.481578
+    15   8704.0  414.476194  267.472468  285.377055
     16   9216.0  431.157889  272.394084  289.887291
-    17   9728.0  438.857162  279.942444  288.950501
-    18  10240.0  442.810829  287.438599  290.496460
+    17   9728.0  438.033784  279.942444  288.950501
+    18  10240.0  442.810829  287.102804  290.153487
     19  10752.0  427.231788  246.699797  289.941565
-    20  11264.0  427.071098  245.536784  286.069848
-    21  11776.0  419.946507  249.667843  288.981596
-    22  12288.0  415.369018  254.673582  294.323369
-    23  12800.0  410.695192  254.094291  288.450715
-    24  13312.0  410.652963  252.559690  289.391298
-    25  13824.0  404.604870  257.190689  292.056329
-    26  14336.0  396.844280  256.000002  288.886653
-    27  14848.0  386.080180  257.665934  288.544136
-    28  15360.0  378.869469  258.513318  287.326580
-    29  15872.0  371.637071  261.626369  290.120338
+    20  11264.0  427.071098  245.760001  286.069848
+    21  11776.0  419.946507  249.447482  288.686414
+    22  12288.0  415.369018  254.673582  294.617366
+    23  12800.0  410.695192  253.884294  287.910035
+    24  13312.0  410.125805  252.559690  289.129403
+    25  13824.0  404.112047  257.190689  292.056329
+    26  14336.0  396.844280  256.000002  289.129416
+    27  14848.0  385.662341  257.479779  288.777966
+    28  15360.0  378.869469  258.332158  288.225185
+    29  15872.0  372.000001  261.806182  290.562936
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  14.616 seconds)
+   **Total running time of the script:** ( 2 minutes  12.415 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 cfe6e5971..7a94f34ff 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
 =================
-**13:32.426** total execution time for **getting-started_tutorials** files:
+**13:24.457** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:12.272 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:11.287 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:26.985 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:26.378 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:14.616 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.415 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:38.540 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:34.363 | 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``)       | 00:00.014 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 34ab162ed..12012d0fc 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -330,22 +330,22 @@ for different problem sizes.</p>
 0        4096.0    4.800000    9.600000
 1        8192.0    9.600000   19.200000
 2       16384.0   17.454545   38.400001
-3       32768.0   34.909091   63.999998
+3       32768.0   34.909091   76.800002
 4       65536.0   69.818181  127.999995
 5      131072.0  139.636363  219.428568
-6      262144.0  236.307695  384.000001
+6      262144.0  219.428568  341.333321
 7      524288.0  361.411758  472.615390
 8     1048576.0  472.615390  614.400016
 9     2097152.0  599.414644  702.171410
-10    4194304.0  712.347810  780.190482
-11    8388608.0  774.047204  812.429770
+10    4194304.0  702.171410  780.190482
+11    8388608.0  768.000002  812.429770
 12   16777216.0  812.429770  833.084721
 13   33554432.0  831.323480  842.004273
 14   67108864.0  841.103727  848.362445
-15  134217728.0  846.080710  850.656574
+15  134217728.0  845.625825  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.540 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  34.363 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 fa6be1e62..acab82545 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -370,16 +370,16 @@ We will then compare its performance against (1) <code class="code docutils lite
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
 0     256.0  512.000001      546.133347   188.321838
-1     384.0  585.142862      585.142862   151.703707
-2     512.0  655.360017      585.142849   156.038096
-3     640.0  682.666684      640.000002   160.000000
+1     384.0  585.142862      585.142862   149.853661
+2     512.0  655.360017      585.142849   154.566038
+3     640.0  682.666684      640.000002   158.759699
 4     768.0  722.823517      646.736871   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      405.755985   198.834951
-94  12288.0  814.111783      415.222812   199.096718
-95  12416.0  814.163950      412.149375   198.755369
-96  12544.0  814.214963      412.971190   198.913776
-97  12672.0  814.265046      412.097543   199.069228
+93  12160.0  814.058574      405.755985   198.733401
+94  12288.0  814.111783      415.661740   198.895304
+95  12416.0  814.163950      412.149375   198.655991
+96  12544.0  814.214963      412.971190   198.815254
+97  12672.0  814.265046      412.097543   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  26.985 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  26.378 seconds)</p>
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-13  1920.0  69.467336  ...  71.257735             71.257735
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index 10b0c0cbd..090e5a704 100644
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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 196018c63..7b5fb0573 100644
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index 9c654c0d6..4b3b4921c 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 20ef39754..58bf40ee1 100644
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index 89a8b075c..4afacaaa5 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 d95db6776..872f30755 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 36a18b951..131272ad3 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 6da703f04..9450c27dc 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
@@ -237,7 +237,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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  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  45.701 seconds)
+   **Total running time of the script:** ( 1 minutes  39.333 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 075cc6c10..ada19f6be 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      546.133347   192.752942
+    0     256.0  512.000001      546.133347   186.181817
     1     384.0  585.142862      585.142862   151.703707
-    2     512.0  655.360017      585.142849   156.038096
-    3     640.0  682.666684      640.000002   160.000000
+    2     512.0  655.360017      606.814814   156.038096
+    3     640.0  682.666684      640.000002   158.759699
     4     768.0  722.823517      646.736871   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.755985   198.834951
-    94  12288.0  814.111783      415.661740   198.995960
-    95  12416.0  812.498981      412.149375   198.755369
-    96  12544.0  812.566838      412.971190   198.913776
-    97  12672.0  812.633240      412.097543   199.069228
+    93  12160.0  812.359066      406.179533   199.038365
+    94  12288.0  814.111783      415.661740   199.298541
+    95  12416.0  812.498981      411.722274   198.954424
+    96  12544.0  812.566838      412.971190   199.111113
+    97  12672.0  812.633240      412.097543   199.167004
 
     [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  22.745 seconds)
+   **Total running time of the script:** ( 3 minutes  21.436 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 3a86bba5a..0a8ca77d8 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  ...   2.978909              2.978909
+    0    256.0   2.730667  ...   3.276800              2.978909
     1    384.0   7.372800  ...   7.899428              7.899428
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
     5    896.0  37.971025  ...  40.140799             39.025776
-    6   1024.0  51.150050  ...  53.773130             52.428801
+    6   1024.0  49.932191  ...  52.428801             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
     8   1280.0  51.200001  ...  56.888887             56.888887
-    9   1408.0  64.138541  ...  67.305878             67.305878
+    9   1408.0  64.138541  ...  67.305878             66.485074
     10  1536.0  80.430545  ...  79.526831             79.526831
     11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.512412  ...  72.047592             71.588687
+    12  1792.0  72.983276  ...  59.154861             71.588687
     13  1920.0  69.120002  ...  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  ...  76.563695             76.563695
-    17  2432.0  71.125224  ...  82.874527             84.115159
-    18  2560.0  77.833728  ...  81.310171             80.511054
-    19  2688.0  83.737433  ...  89.676257             89.044730
-    20  2816.0  83.552120  ...  83.074685             82.602666
-    21  2944.0  82.237674  ...  82.784108             82.784108
-    22  3072.0  81.825298  ...  87.651868             86.845249
-    23  3200.0  82.156612  ...  89.761569             88.275863
-    24  3328.0  79.548391  ...  80.527177             83.710812
-    25  3456.0  81.683457  ...  91.511426             91.097818
-    26  3584.0  85.552231  ...  90.549237             96.683219
-    27  3712.0  85.455380  ...  88.248537             88.640059
-    28  3840.0  82.778440  ...  87.252072             88.971840
-    29  3968.0  93.076994  ...  84.094627             91.335278
-    30  4096.0  86.590337  ...  86.480498             92.182504
+    16  2304.0  68.251065  ...  76.563695             76.319081
+    17  2432.0  71.305746  ...  84.877538             84.621881
+    18  2560.0  77.833728  ...  81.310171             80.709358
+    19  2688.0  83.737433  ...  89.464755             89.888756
+    20  2816.0  83.552120  ...  83.712490             82.916747
+    21  2944.0  81.967162  ...  80.902653             82.102191
+    22  3072.0  82.062468  ...  88.197981             87.924073
+    23  3200.0  84.544253  ...  95.380032             94.955488
+    24  3328.0  82.939284  ...  84.695641             81.162679
+    25  3456.0  80.061141  ...  82.183044             87.632137
+    26  3584.0  87.254137  ...  90.460980             94.349836
+    27  3712.0  85.601834  ...  89.194055             91.313847
+    28  3840.0  84.100380  ...  84.972723             88.686451
+    29  3968.0  93.148045  ...  79.236324             80.971427
+    30  4096.0  91.647477  ...  83.390136             89.181212
 
     [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  23.977 seconds)
+   **Total running time of the script:** ( 5 minutes  18.978 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 37319e223..92316c27d 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   99.902435  315.076934
-    1    1536.0  351.085717  134.050910  344.523365
-    2    2048.0  423.724127  159.067963  334.367350
-    3    2560.0  458.507457  182.314537  330.322572
-    4    3072.0  515.580429  191.501303  321.956335
-    5    3584.0  547.872604  208.271186  309.410081
-    6    4096.0  568.231237  220.907859  300.623865
-    7    4608.0  500.416301  232.336141  287.251954
-    8    5120.0  527.381977  243.809526  286.433562
-    9    5632.0  542.843364  244.869560  291.939522
-    10   6144.0  548.163546  251.202731  288.000001
-    11   6656.0  534.260858  256.000009  286.793541
-    12   7168.0  516.612607  253.734520  277.919225
-    13   7680.0  490.212752  266.743841  284.444450
-    14   8192.0  464.794337  258.694729  278.481578
-    15   8704.0  416.958106  267.472468  284.987724
-    16   9216.0  431.157889  272.394084  289.887291
-    17   9728.0  439.683593  280.278512  288.950501
-    18  10240.0  446.836366  287.438599  289.811322
-    19  10752.0  430.079980  246.935876  289.941565
-    20  11264.0  430.471331  245.536784  286.069848
-    21  11776.0  420.571432  249.447482  288.981596
-    22  12288.0  418.909088  254.673582  294.323369
-    23  12800.0  414.016170  254.094291  289.811310
-    24  13312.0  411.181478  252.360194  289.129403
-    25  13824.0  404.604870  257.190689  291.799461
-    26  14336.0  395.475867  256.190622  289.129416
-    27  14848.0  384.829370  257.479779  289.012175
-    28  15360.0  377.318326  258.332158  288.225185
-    29  15872.0  369.832994  261.626369  290.562936
+    0    1024.0  307.200008   98.303995  303.407414
+    1    1536.0  351.085717  133.565214  338.201833
+    2    2048.0  423.724127  158.554837  321.254900
+    3    2560.0  458.507457  180.705883  328.556154
+    4    3072.0  515.580429  190.020625  321.956335
+    5    3584.0  551.384634  206.769233  310.527060
+    6    4096.0  568.231237  221.905193  301.546004
+    7    4608.0  498.162157  232.825259  287.251954
+    8    5120.0  527.381977  241.414550  283.787523
+    9    5632.0  542.843364  242.671458  288.820505
+    10   6144.0  548.163546  250.775512  285.767458
+    11   6656.0  532.479975  255.182111  285.257135
+    12   7168.0  508.970395  253.360829  275.692317
+    13   7680.0  481.253256  264.447629  279.272719
+    14   8192.0  459.364487  258.354805  273.827300
+    15   8704.0  415.300208  266.789264  284.599455
+    16   9216.0  428.651187  270.396088  286.879380
+    17   9728.0  438.033784  282.311967  290.388056
+    18  10240.0  447.650282  284.774046  287.775181
+    19  10752.0  431.518385  247.409390  291.250566
+    20  11264.0  427.746848  242.671458  283.966395
+    21  11776.0  423.089806  251.221344  291.064881
+    22  12288.0  418.314886  254.015505  294.029924
+    23  12800.0  416.824953  254.304635  288.450715
+    24  13312.0  411.711355  252.360194  289.653667
+    25  13824.0  405.594132  257.790206  292.056329
+    26  14336.0  396.844280  254.297107  286.481278
+    27  14848.0  387.760604  258.600868  290.188916
+    28  15360.0  375.397138  260.155264  289.583654
+    29  15872.0  368.758973  263.253636  292.796308
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.766 seconds)
+   **Total running time of the script:** ( 2 minutes  11.437 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 23e462c17..d381102af 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
 =================
-**12:44.201** total execution time for **getting-started_tutorials** files:
+**12:31.196** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.977 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:18.978 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.745 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.436 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.766 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.437 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.701 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:39.333 | 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 d03566d0d..ee26e0ca6 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -327,7 +327,7 @@ for different problem sizes.</p>
 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  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  45.701 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  39.333 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 d744dcab7..76ed6132b 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      546.133347   192.752942
+0     256.0  512.000001      546.133347   186.181817
 1     384.0  585.142862      585.142862   151.703707
-2     512.0  655.360017      585.142849   156.038096
-3     640.0  682.666684      640.000002   160.000000
+2     512.0  655.360017      606.814814   156.038096
+3     640.0  682.666684      640.000002   158.759699
 4     768.0  722.823517      646.736871   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.755985   198.834951
-94  12288.0  814.111783      415.661740   198.995960
-95  12416.0  812.498981      412.149375   198.755369
-96  12544.0  812.566838      412.971190   198.913776
-97  12672.0  812.633240      412.097543   199.069228
+93  12160.0  812.359066      406.179533   199.038365
+94  12288.0  814.111783      415.661740   199.298541
+95  12416.0  812.498981      411.722274   198.954424
+96  12544.0  812.566838      412.971190   199.111113
+97  12672.0  812.633240      412.097543   199.167004
 
 [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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-0    256.0   2.730667  ...   2.978909              2.978909
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 4    768.0  32.768000  ...  34.028308             34.028308
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-6   1024.0  51.150050  ...  53.773130             52.428801
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 7   1152.0  45.242181  ...  46.656000             46.656000
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-9   1408.0  64.138541  ...  67.305878             67.305878
+9   1408.0  64.138541  ...  67.305878             66.485074
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 11  1664.0  63.372618  ...  62.492442             62.061463
-12  1792.0  72.512412  ...  72.047592             71.588687
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 13  1920.0  69.120002  ...  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  ...  76.563695             76.563695
-17  2432.0  71.125224  ...  82.874527             84.115159
-18  2560.0  77.833728  ...  81.310171             80.511054
-19  2688.0  83.737433  ...  89.676257             89.044730
-20  2816.0  83.552120  ...  83.074685             82.602666
-21  2944.0  82.237674  ...  82.784108             82.784108
-22  3072.0  81.825298  ...  87.651868             86.845249
-23  3200.0  82.156612  ...  89.761569             88.275863
-24  3328.0  79.548391  ...  80.527177             83.710812
-25  3456.0  81.683457  ...  91.511426             91.097818
-26  3584.0  85.552231  ...  90.549237             96.683219
-27  3712.0  85.455380  ...  88.248537             88.640059
-28  3840.0  82.778440  ...  87.252072             88.971840
-29  3968.0  93.076994  ...  84.094627             91.335278
-30  4096.0  86.590337  ...  86.480498             92.182504
+16  2304.0  68.251065  ...  76.563695             76.319081
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+26  3584.0  87.254137  ...  90.460980             94.349836
+27  3712.0  85.601834  ...  89.194055             91.313847
+28  3840.0  84.100380  ...  84.972723             88.686451
+29  3968.0  93.148045  ...  79.236324             80.971427
+30  4096.0  91.647477  ...  83.390136             89.181212
 
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-15   8704.0  416.958106  267.472468  284.987724
-16   9216.0  431.157889  272.394084  289.887291
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-19  10752.0  430.079980  246.935876  289.941565
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-24  13312.0  411.181478  252.360194  289.129403
-25  13824.0  404.604870  257.190689  291.799461
-26  14336.0  395.475867  256.190622  289.129416
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+5    3584.0  551.384634  206.769233  310.527060
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+9    5632.0  542.843364  242.671458  288.820505
+10   6144.0  548.163546  250.775512  285.767458
+11   6656.0  532.479975  255.182111  285.257135
+12   7168.0  508.970395  253.360829  275.692317
+13   7680.0  481.253256  264.447629  279.272719
+14   8192.0  459.364487  258.354805  273.827300
+15   8704.0  415.300208  266.789264  284.599455
+16   9216.0  428.651187  270.396088  286.879380
+17   9728.0  438.033784  282.311967  290.388056
+18  10240.0  447.650282  284.774046  287.775181
+19  10752.0  431.518385  247.409390  291.250566
+20  11264.0  427.746848  242.671458  283.966395
+21  11776.0  423.089806  251.221344  291.064881
+22  12288.0  418.314886  254.015505  294.029924
+23  12800.0  416.824953  254.304635  288.450715
+24  13312.0  411.711355  252.360194  289.653667
+25  13824.0  405.594132  257.790206  292.056329
+26  14336.0  396.844280  254.297107  286.481278
+27  14848.0  387.760604  258.600868  290.188916
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