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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 53cebd1f7..94f734638 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 05abc50ad..180ad65cb 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,7 +234,7 @@ 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
+    2       16384.0   31.999999   31.999999
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
@@ -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  48.582 seconds)
+   **Total running time of the script:** ( 1 minutes  46.974 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 57944f812..886fb7414 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  546.133347      546.133347   188.321838
+    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   158.759699
-    4     768.0  722.823517      646.736871   162.754967
+    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
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.834951
-    94  12288.0  814.111783      415.661740   199.096718
-    95  12416.0  814.163950      412.149375   198.755369
-    96  12544.0  814.214963      412.971190   198.913776
+    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
     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  28.316 seconds)
+   **Total running time of the script:** ( 3 minutes  28.936 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 c8ade882f..0dafb2782 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  ...   3.276800              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             15.420235
+    1    384.0   7.372800  ...   7.899428              8.507077
+    2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  35.389441             34.028308
-    5    896.0  37.971025  ...  41.321411             40.140799
+    5    896.0  37.971025  ...  40.140799             40.140799
     6   1024.0  49.932191  ...  53.773130             53.773130
-    7   1152.0  44.566925  ...  48.161033             47.396572
-    8   1280.0  51.200001  ...  57.690139             57.690139
+    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  80.430545  ...  80.430545             80.430545
-    11  1664.0  63.372618  ...  63.372618             62.929456
-    12  1792.0  72.983276  ...  63.142831             63.142831
-    13  1920.0  69.120002  ...  71.626943             70.892307
+    10  1536.0  79.526831  ...  80.430545             80.430545
+    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
     15  2176.0  83.155572  ...  87.115360             86.739860
-    16  2304.0  68.251065  ...  77.810656             77.558029
+    16  2304.0  68.446623  ...  77.810656             77.558029
     17  2432.0  71.125224  ...  75.726318             75.320281
-    18  2560.0  77.833728  ...  81.920002             81.512437
-    19  2688.0  83.369354  ...  91.404957             90.748936
-    20  2816.0  83.392363  ...  83.712490             83.873477
-    21  2944.0  81.967162  ...  83.477440             82.373605
-    22  3072.0  78.752578  ...  88.612060             87.246694
-    23  3200.0  79.601989  ...  96.096095             95.952022
-    24  3328.0  84.003845  ...  85.196803             85.703924
-    25  3456.0  81.683457  ...  92.350019             92.508971
-    26  3584.0  84.745889  ...  88.412386             94.250936
-    27  3712.0  85.675250  ...  87.706180             87.399253
-    28  3840.0  83.465663  ...  88.332269             91.777595
-    29  3968.0  88.040360  ...  91.678389             86.788006
-    30  4096.0  93.531519  ...  83.156833             86.593830
+    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
 
     [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  8.669 seconds)
+   **Total running time of the script:** ( 6 minutes  10.290 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.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 c24ea634c..2c0fa303f 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  361.411758   99.902435  315.076934
     1    1536.0  409.599994  134.050910  344.523365
-    2    2048.0  491.520012  159.067963  334.367350
-    3    2560.0  458.507457  182.857144  330.322572
-    4    3072.0  522.893629  191.501303  321.956335
-    5    3584.0  554.941930  207.768111  309.410081
-    6    4096.0  564.965515  220.907859  299.707322
+    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  287.102804
-    9    5632.0  542.843364  244.426754  291.939522
-    10   6144.0  552.269672  251.202731  288.000001
-    11   6656.0  532.479975  255.590406  286.793541
-    12   7168.0  512.000004  253.734520  277.919225
-    13   7680.0  487.619051  266.743841  284.444450
-    14   8192.0  468.114289  258.694729  278.481578
-    15   8704.0  414.476194  267.815384  285.377055
-    16   9216.0  429.483477  272.394084  290.267724
-    17   9728.0  438.033784  280.278512  288.950501
-    18  10240.0  444.412281  287.102804  290.153487
-    19  10752.0  426.525614  246.699797  289.941565
-    20  11264.0  427.071098  245.536784  286.372873
-    21  11776.0  418.702211  249.667843  288.981596
-    22  12288.0  415.369018  254.893699  294.323369
-    23  12800.0  410.695192  254.094291  289.538159
-    24  13312.0  409.599999  252.559690  289.391298
-    25  13824.0  404.112047  257.190689  292.056329
-    26  14336.0  396.387109  256.190622  288.886653
-    27  14848.0  385.662341  257.665934  288.777966
-    28  15360.0  378.869469  258.513318  287.775181
-    29  15872.0  372.000001  261.626369  290.341468
+    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
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  13.855 seconds)
+   **Total running time of the script:** ( 2 minutes  14.494 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 6ea993d7e..92749a117 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
 =================
-**13:39.434** total execution time for **getting-started_tutorials** files:
+**13:40.705** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:08.669 | 0.0 MB |
+| :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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:28.316 | 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_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:13.855 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:48.582 | 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_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index e4c1da286..81d7d3d19 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -324,7 +324,7 @@ 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
+2       16384.0   31.999999   31.999999
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
@@ -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  48.582 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.974 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 d89556b6e..a8bdae170 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  546.133347      546.133347   188.321838
+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   158.759699
-4     768.0  722.823517      646.736871   162.754967
+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
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.834951
-94  12288.0  814.111783      415.661740   199.096718
-95  12416.0  814.163950      412.149375   198.755369
-96  12544.0  814.214963      412.971190   198.913776
+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
 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  28.316 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  28.936 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 1f95d819d..454f2879a 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
@@ -565,41 +565,41 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <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              8.507077
-2    512.0  14.563555  ...  16.384000             15.420235
+1    384.0   7.372800  ...   7.899428              8.507077
+2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  35.389441             34.028308
-5    896.0  37.971025  ...  41.321411             40.140799
+5    896.0  37.971025  ...  40.140799             40.140799
 6   1024.0  49.932191  ...  53.773130             53.773130
-7   1152.0  44.566925  ...  48.161033             47.396572
-8   1280.0  51.200001  ...  57.690139             57.690139
+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  80.430545  ...  80.430545             80.430545
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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 ec8647035..9ff608ec9 100644
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index 236886dd9..9084a0024 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 0c775a83b..5f3f46130 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
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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 dfba649ec..83179e979 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 0fd190e1c..16a315846 100644
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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 da4348d03..1add2fd4a 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
@@ -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  43.477 seconds)
+   **Total running time of the script:** ( 1 minutes  40.524 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 b05bb898a..54fc04a1b 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   190.511628
+    0     256.0  512.000001      512.000001   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   158.759699
-    4     768.0  722.823517      646.736871   162.754967
+    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  812.359066      405.755985   198.834951
-    94  12288.0  814.111783      415.661740   199.096718
-    95  12416.0  812.498981      412.149375   198.755369
-    96  12544.0  812.566838      412.971190   199.012395
+    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
 
     [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  24.818 seconds)
+   **Total running time of the script:** ( 3 minutes  22.390 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 45da5e07e..9e132677d 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
-    1    384.0   7.372800  ...   7.899428              7.899428
+    0    256.0   2.730667  ...   3.276800              2.978909
+    1    384.0   7.372800  ...   8.507077              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  ...  39.025776             37.971025
+    4    768.0  31.597714  ...  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  44.566925  ...  46.656000             46.656000
+    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
     10  1536.0  80.430545  ...  79.526831             79.526831
     11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.047592             71.588687
-    13  1920.0  68.776119  ...  70.172588             70.172588
+    12  1792.0  72.983276  ...  71.588687             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  ...  85.134737             83.366361
-    18  2560.0  77.649287  ...  80.709358             80.313727
-    19  2688.0  83.186525  ...  89.676257             89.044730
-    20  2816.0  84.035084  ...  83.233226             83.233226
-    21  2944.0  80.380696  ...  83.060049             82.921853
-    22  3072.0  82.420822  ...  87.516392             89.100084
-    23  3200.0  79.601989  ...  93.841640             91.168092
-    24  3328.0  82.275764  ...  84.795401             84.496824
-    25  3456.0  81.683457  ...  91.200871             90.994998
-    26  3584.0  84.905939  ...  91.470385             94.448944
-    27  3712.0  85.675250  ...  88.404730             87.706180
-    28  3840.0  81.019778  ...  87.217666             91.549669
-    29  3968.0  86.053553  ...  91.816356             83.807647
-    30  4096.0  94.386588  ...  86.424811             85.217605
+    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
 
     [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  35.509 seconds)
+   **Total running time of the script:** ( 5 minutes  17.895 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 3a385a5bb..4683e306e 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  0.011 seconds)
+   **Total running time of the script:** ( 0 minutes  0.010 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 f7879b3ce..058abbb3c 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   99.497980  311.088617
-    1    1536.0  347.773587  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  519.211251  191.501303  321.956335
-    5    3584.0  551.384634  207.768111  308.301075
-    6    4096.0  564.965515  220.907859  299.707322
-    7    4608.0  498.162157  232.336141  287.251954
-    8    5120.0  527.381977  243.326731  286.433562
-    9    5632.0  540.671974  244.426754  291.310338
-    10   6144.0  550.208948  251.202731  286.879370
-    11   6656.0  534.260858  255.590406  286.793541
-    12   7168.0  516.612607  253.734520  277.919225
-    13   7680.0  488.912481  266.743841  284.884090
-    14   8192.0  463.698115  258.354805  278.087683
-    15   8704.0  416.127506  267.815384  285.377055
-    16   9216.0  429.483477  272.394084  290.267724
-    17   9728.0  437.213490  279.942444  288.950501
-    18  10240.0  446.836366  287.438599  290.496460
-    19  10752.0  430.079980  246.935876  289.941565
-    20  11264.0  430.471331  245.536784  286.069848
-    21  11776.0  421.198220  249.447482  288.686414
-    22  12288.0  418.314886  254.453844  294.617366
-    23  12800.0  414.016170  254.094291  288.450715
-    24  13312.0  412.242569  252.360194  289.129403
-    25  13824.0  404.604870  256.991469  291.799461
-    26  14336.0  395.930964  255.904799  289.129416
-    27  14848.0  386.498925  257.479779  289.012175
-    28  15360.0  376.547496  258.332158  287.775181
-    29  15872.0  369.116300  261.806182  290.784741
+    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
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.572 seconds)
+   **Total running time of the script:** ( 2 minutes  12.224 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 9a0a58198..b6c1c4777 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
 =================
-**12:56.386** total execution time for **getting-started_tutorials** files:
+**12:33.042** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:35.509 | 0.0 MB |
+| :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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:24.818 | 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_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.572 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.477 | 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_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.011 | 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 |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
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 18e8627ec..c67d5f38b 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -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  43.477 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.524 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 aa31ecd0c..5e1a5af90 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   190.511628
+0     256.0  512.000001      512.000001   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   158.759699
-4     768.0  722.823517      646.736871   162.754967
+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  812.359066      405.755985   198.834951
-94  12288.0  814.111783      415.661740   199.096718
-95  12416.0  812.498981      412.149375   198.755369
-96  12544.0  812.566838      412.971190   199.012395
+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
 
 [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  24.818 seconds)</p>
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index e713f237c..eb37cc474 100644
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+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
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