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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 6a9244488..36780fbff 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 1720420d4..652e2b49f 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -238,14 +238,14 @@ 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  384.000001  384.000001
+    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  45.396 seconds)
+   **Total running time of the script:** ( 1 minutes  41.086 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 29d809967..1ace07c92 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   188.321838
+    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   199.038365
-    94  12288.0  814.111783      415.661740   199.298541
-    95  12416.0  814.163950      412.149375   198.854847
-    96  12544.0  814.214963      412.971190   199.111113
-    97  12672.0  814.265046      412.097543   199.167004
+    93  12160.0  815.765209      406.179533   198.834951
+    94  12288.0  814.111783      415.661740   199.096718
+    95  12416.0  814.163950      412.149375   198.655991
+    96  12544.0  814.214963      413.183734   198.913776
+    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  21.032 seconds)
+   **Total running time of the script:** ( 3 minutes  20.138 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 5e6ca32d4..fee670401 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             15.420235
+    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  ...  40.140799             39.025776
-    6   1024.0  49.932191  ...  52.428801             52.428801
+    5    896.0  39.025776  ...  40.140799             39.025776
+    6   1024.0  51.150050  ...  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             65.684049
-    10  1536.0  80.430545  ...  79.526831             78.643199
+    9   1408.0  64.138541  ...  67.305878             66.485074
+    10  1536.0  80.430545  ...  79.526831             79.526831
     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  ...  76.959706             76.608294
-    15  2176.0  83.500614  ...  86.367588             85.269692
-    16  2304.0  68.643310  ...  77.057651             76.809875
-    17  2432.0  71.487187  ...  84.367759             84.877538
-    18  2560.0  78.019048  ...  80.709358             80.511054
-    19  2688.0  83.004501  ...  89.888756             89.254248
-    20  2816.0  80.767055  ...  82.916747             81.521884
-    21  2944.0  81.698415  ...  82.237674             82.921853
-    22  3072.0  82.661468  ...  88.612060             87.516392
-    23  3200.0  82.051282  ...  94.814812             94.534716
-    24  3328.0  83.226931  ...  84.895397             84.496824
-    25  3456.0  81.108217  ...  91.200871             85.722029
-    26  3584.0  82.189576  ...  93.370085             95.047985
-    27  3712.0  82.491612  ...  88.092894             89.114488
-    28  3840.0  82.716526  ...  89.620748             86.670843
-    29  3968.0  85.934238  ...  91.062642             86.114283
-    30  4096.0  93.012976  ...  92.691803             88.243079
+    12  1792.0  72.983276  ...  71.588687             72.047592
+    13  1920.0  69.467336  ...  70.530615             70.530615
+    14  2048.0  73.584279  ...  76.959706             76.260072
+    15  2176.0  83.155572  ...  85.632545             85.632545
+    16  2304.0  68.446623  ...  76.319081             76.319081
+    17  2432.0  71.305746  ...  74.521127             84.877538
+    18  2560.0  78.019048  ...  81.310171             81.108913
+    19  2688.0  83.461070  ...  89.044730             89.464755
+    20  2816.0  81.521884  ...  82.446516             82.602666
+    21  2944.0  82.237674  ...  82.373605             82.921853
+    22  3072.0  82.181572  ...  88.750943             89.451983
+    23  3200.0  84.544253  ...  95.380032             95.096582
+    24  3328.0  83.130825  ...  83.905938             84.397770
+    25  3456.0  78.578525  ...  88.790274             90.382926
+    26  3584.0  87.211821  ...  98.483450             92.505546
+    27  3712.0  84.159518  ...  87.056508             85.751096
+    28  3840.0  85.005380  ...  92.390975             85.597527
+    29  3968.0  92.372393  ...  84.155345             88.809270
+    30  4096.0  86.370931  ...  92.627833             88.185107
 
     [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  7.784 seconds)
+   **Total running time of the script:** ( 6 minutes  2.945 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 36fdd5db6..734355ed6 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  0.489 seconds)
+   **Total running time of the script:** ( 0 minutes  0.484 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 0dc679ac7..5166f63dd 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  307.200008   98.303995  307.200008
+    0    1024.0  311.088617   98.303995  307.200008
     1    1536.0  347.773587  134.540150  341.333333
-    2    2048.0  420.102553  161.684218  334.367350
-    3    2560.0  458.507457  181.775141  330.322572
-    4    3072.0  511.999982  192.501302  320.556515
+    2    2048.0  420.102553  161.684218  325.509933
+    3    2560.0  458.507457  181.775141  326.808501
+    4    3072.0  511.999982  192.501302  317.793096
     5    3584.0  551.384634  208.271186  311.652167
-    6    4096.0  564.965515  220.412561  297.890900
-    7    4608.0  507.302750  232.825259  286.507772
-    8    5120.0  531.948056  242.845844  285.104413
-    9    5632.0  545.032265  243.545956  289.438969
-    10   6144.0  548.163546  248.661056  285.767458
+    6    4096.0  564.965515  220.412561  295.207204
+    7    4608.0  507.302750  232.825259  291.799469
+    8    5120.0  529.655159  242.845844  289.811322
+    9    5632.0  542.843364  243.545956  288.820505
+    10   6144.0  548.163546  248.661056  286.322318
     11   6656.0  534.260858  256.000009  285.767438
     12   7168.0  507.469040  260.654538  286.242939
-    13   7680.0  479.999983  262.190612  275.104486
-    14   8192.0  462.607053  267.130429  284.939124
-    15   8704.0  418.629245  267.472468  284.599455
-    16   9216.0  432.000001  272.394084  288.751954
-    17   9728.0  440.513191  280.615388  290.027323
-    18  10240.0  450.109870  286.433562  287.775181
-    19  10752.0  427.231788  247.172406  290.922209
-    20  11264.0  427.071098  245.536784  286.676558
-    21  11776.0  423.089806  249.667843  288.686414
-    22  12288.0  419.504980  254.453844  294.323369
-    23  12800.0  414.016170  253.465340  289.538159
-    24  13312.0  411.181478  252.759501  289.916513
+    13   7680.0  479.999983  262.564106  275.104486
+    14   8192.0  463.698115  267.130429  284.939124
+    15   8704.0  417.791980  267.815384  284.987724
+    16   9216.0  431.157889  272.394084  289.129410
+    17   9728.0  439.683593  280.278512  290.027323
+    18  10240.0  450.109870  286.433562  290.153487
+    19  10752.0  426.525614  247.172406  290.922209
+    20  11264.0  427.071098  245.760001  286.676558
+    21  11776.0  423.089806  249.888595  288.981596
+    22  12288.0  420.102570  254.673582  294.323369
+    23  12800.0  414.016170  253.674644  288.180121
+    24  13312.0  411.181478  252.959629  289.916513
     25  13824.0  404.604870  257.190689  292.056329
     26  14336.0  393.665895  254.485198  286.719986
-    27  14848.0  385.662341  257.665934  289.246765
-    28  15360.0  373.874218  257.970599  287.102804
-    29  15872.0  371.274849  261.986243  289.899545
+    27  14848.0  385.245405  257.665934  289.246765
+    28  15360.0  373.495460  257.970599  286.211174
+    29  15872.0  371.637071  261.626369  289.899545
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.249 seconds)
+   **Total running time of the script:** ( 2 minutes  11.317 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 87b1b88ca..d3b967a4b 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
 =================
-**13:26.950** total execution time for **getting-started_tutorials** files:
+**13:15.970** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:07.784 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:02.945 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.032 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:20.138 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.249 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.317 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.396 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.086 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.489 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.484 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index b853f3978..05cae9e84 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -328,19 +328,19 @@ 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  384.000001  384.000001
+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  45.396 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.086 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 98616456c..b1c5ab54f 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   188.321838
+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   199.038365
-94  12288.0  814.111783      415.661740   199.298541
-95  12416.0  814.163950      412.149375   198.854847
-96  12544.0  814.214963      412.971190   199.111113
-97  12672.0  814.265046      412.097543   199.167004
+93  12160.0  815.765209      406.179533   198.834951
+94  12288.0  814.111783      415.661740   199.096718
+95  12416.0  814.163950      412.149375   198.655991
+96  12544.0  814.214963      413.183734   198.913776
+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  21.032 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  20.138 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 ece672e91..aa4ea16dd 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)
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-2    512.0  14.563555  ...  16.384000             15.420235
+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  ...  40.140799             39.025776
-6   1024.0  49.932191  ...  52.428801             52.428801
+5    896.0  39.025776  ...  40.140799             39.025776
+6   1024.0  51.150050  ...  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             65.684049
-10  1536.0  80.430545  ...  79.526831             78.643199
+9   1408.0  64.138541  ...  67.305878             66.485074
+10  1536.0  80.430545  ...  79.526831             79.526831
 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  ...  76.959706             76.608294
-15  2176.0  83.500614  ...  86.367588             85.269692
-16  2304.0  68.643310  ...  77.057651             76.809875
-17  2432.0  71.487187  ...  84.367759             84.877538
-18  2560.0  78.019048  ...  80.709358             80.511054
-19  2688.0  83.004501  ...  89.888756             89.254248
-20  2816.0  80.767055  ...  82.916747             81.521884
-21  2944.0  81.698415  ...  82.237674             82.921853
-22  3072.0  82.661468  ...  88.612060             87.516392
-23  3200.0  82.051282  ...  94.814812             94.534716
-24  3328.0  83.226931  ...  84.895397             84.496824
-25  3456.0  81.108217  ...  91.200871             85.722029
-26  3584.0  82.189576  ...  93.370085             95.047985
-27  3712.0  82.491612  ...  88.092894             89.114488
-28  3840.0  82.716526  ...  89.620748             86.670843
-29  3968.0  85.934238  ...  91.062642             86.114283
-30  4096.0  93.012976  ...  92.691803             88.243079
+12  1792.0  72.983276  ...  71.588687             72.047592
+13  1920.0  69.467336  ...  70.530615             70.530615
+14  2048.0  73.584279  ...  76.959706             76.260072
+15  2176.0  83.155572  ...  85.632545             85.632545
+16  2304.0  68.446623  ...  76.319081             76.319081
+17  2432.0  71.305746  ...  74.521127             84.877538
+18  2560.0  78.019048  ...  81.310171             81.108913
+19  2688.0  83.461070  ...  89.044730             89.464755
+20  2816.0  81.521884  ...  82.446516             82.602666
+21  2944.0  82.237674  ...  82.373605             82.921853
+22  3072.0  82.181572  ...  88.750943             89.451983
+23  3200.0  84.544253  ...  95.380032             95.096582
+24  3328.0  83.130825  ...  83.905938             84.397770
+25  3456.0  78.578525  ...  88.790274             90.382926
+26  3584.0  87.211821  ...  98.483450             92.505546
+27  3712.0  84.159518  ...  87.056508             85.751096
+28  3840.0  85.005380  ...  92.390975             85.597527
+29  3968.0  92.372393  ...  84.155345             88.809270
+30  4096.0  86.370931  ...  92.627833             88.185107
 
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           N      Triton       Torch        Apex
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 1    1536.0  347.773587  134.540150  341.333333
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-8    5120.0  531.948056  242.845844  285.104413
-9    5632.0  545.032265  243.545956  289.438969
-10   6144.0  548.163546  248.661056  285.767458
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-15   8704.0  418.629245  267.472468  284.599455
-16   9216.0  432.000001  272.394084  288.751954
-17   9728.0  440.513191  280.615388  290.027323
-18  10240.0  450.109870  286.433562  287.775181
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-20  11264.0  427.071098  245.536784  286.676558
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+19  10752.0  426.525614  247.172406  290.922209
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-29  15872.0  371.274849  261.986243  289.899545
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+28  15360.0  373.495460  257.970599  286.211174
+29  15872.0  371.637071  261.626369  289.899545
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index c98c5dfa6..16342940f 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 bbe679f00..d2ce77cc2 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 42fa2fdf7..8f9b324b3 100644
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index 26e898aef..1d0d0af8a 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 faa5533c0..7834dc7e3 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 2d351850b..d2120ba3e 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 9f760adcf..ea19fbe04 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
@@ -233,11 +233,11 @@ 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   76.800002   76.800002
+    2       16384.0   31.999999   31.999999
+    3       32768.0   63.999998   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  384.000001
+    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
@@ -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  41.915 seconds)
+   **Total running time of the script:** ( 1 minutes  46.424 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 3d5c9f1c7..03c723f78 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   190.511628
+    0     256.0  512.000001      546.133347   188.321838
     1     384.0  614.400016      585.142862   153.600004
-    2     512.0  655.360017      606.814814   154.566038
+    2     512.0  655.360017      606.814814   156.038096
     3     640.0  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.631953
-    94  12288.0  814.111783      415.661740   198.995960
-    95  12416.0  812.498981      412.149375   198.556711
-    96  12544.0  812.566838      412.971190   198.815254
-    97  12672.0  812.633240      412.097543   198.873965
+    93  12160.0  814.058574      406.179533   199.140227
+    94  12288.0  814.111783      415.222812   199.399583
+    95  12416.0  812.498981      412.149375   198.954424
+    96  12544.0  812.566838      412.971190   199.209928
+    97  12672.0  812.633240      412.097543   199.264875
 
     [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  23.388 seconds)
+   **Total running time of the script:** ( 3 minutes  24.515 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 82f25261d..d1cd4efc6 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
@@ -475,24 +475,24 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     10  1536.0  80.430545  ...  79.526831             79.526831
     11  1664.0  62.929456  ...  62.492442             62.061463
     12  1792.0  72.512412  ...  72.512412             71.588687
-    13  1920.0  69.120002  ...  70.172588             70.172588
+    13  1920.0  69.467336  ...  70.172588             70.172588
     14  2048.0  73.908442  ...  76.608294             76.959706
-    15  2176.0  83.500614  ...  86.367588             85.632545
-    16  2304.0  68.643310  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  85.134737             84.115159
-    18  2560.0  77.283019  ...  81.108913             80.908642
+    15  2176.0  83.500614  ...  86.367588             85.269692
+    16  2304.0  68.251065  ...  76.563695             76.563695
+    17  2432.0  71.487187  ...  84.367759             84.367759
+    18  2560.0  78.019048  ...  81.310171             81.108913
     19  2688.0  83.369354  ...  89.888756             89.676257
-    20  2816.0  83.074685  ...  83.074685             82.446516
-    21  2944.0  81.967162  ...  81.698415             81.967162
-    22  3072.0  82.301023  ...  88.750943             87.787755
-    23  3200.0  82.368085  ...  91.954023             91.822093
-    24  3328.0  80.798314  ...  84.101981             85.602017
-    25  3456.0  81.766291  ...  91.511426             91.097818
-    26  3584.0  84.033077  ...  91.563533             94.548254
-    27  3712.0  85.528545  ...  86.264806             87.284705
-    28  3840.0  85.005380  ...  91.701494             85.169042
-    29  3968.0  92.267631  ...  83.865247             90.724116
-    30  4096.0  86.426548  ...  87.097813             89.478485
+    20  2816.0  83.392363  ...  83.074685             82.602666
+    21  2944.0  81.967162  ...  78.174165             82.921853
+    22  3072.0  82.540970  ...  88.612060             88.473602
+    23  3200.0  84.600132  ...  95.665176             95.096582
+    24  3328.0  83.130825  ...  81.438120             83.808259
+    25  3456.0  81.849303  ...  90.586029             91.200871
+    26  3584.0  86.665439  ...  90.459560             94.448944
+    27  3712.0  85.528545  ...  87.246590             88.758185
+    28  3840.0  84.940091  ...  91.663490             84.228485
+    29  3968.0  92.302520  ...  83.921126             90.623049
+    30  4096.0  87.666706  ...  84.838860             91.491294
 
     [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  27.265 seconds)
+   **Total running time of the script:** ( 5 minutes  26.730 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index 4683e306e..3a385a5bb 100644
--- a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -238,7 +238,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.010 seconds)
+   **Total running time of the script:** ( 0 minutes  0.011 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 23cae1aeb..251c63d39 100644
--- a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -39,35 +39,35 @@ Layer Normalization
     layer-norm-backward:
               N      Triton       Torch        Apex
     0    1024.0  311.088617   98.303995  307.200008
-    1    1536.0  354.461542  134.540150  344.523365
-    2    2048.0  423.724127  161.684218  334.367350
-    3    2560.0  465.454542  181.238943  330.322572
-    4    3072.0  511.999982  192.501302  320.556515
+    1    1536.0  351.085717  134.540150  341.333333
+    2    2048.0  423.724127  161.684218  325.509933
+    3    2560.0  465.454542  181.238943  326.808501
+    4    3072.0  515.580429  192.501302  317.793096
     5    3584.0  551.384634  208.271186  311.652167
-    6    4096.0  568.231237  220.412561  298.796351
-    7    4608.0  500.416301  232.825259  286.507772
-    8    5120.0  525.128191  242.845844  285.104413
-    9    5632.0  542.843364  243.545956  290.060087
-    10   6144.0  544.118087  248.661056  286.879370
-    11   6656.0  530.710976  256.000009  285.767438
+    6    4096.0  568.231237  220.412561  295.207204
+    7    4608.0  500.416301  232.825259  291.031570
+    8    5120.0  527.381977  242.845844  287.775181
+    9    5632.0  542.843364  243.545956  289.438969
+    10   6144.0  544.118087  248.661056  286.322318
+    11   6656.0  532.479975  256.000009  286.279570
     12   7168.0  505.976473  260.654538  286.242939
-    13   7680.0  481.253256  262.564106  278.850215
-    14   8192.0  462.607053  267.130429  284.939124
+    13   7680.0  481.253256  262.564106  279.272719
+    14   8192.0  463.698115  267.130429  284.526763
     15   8704.0  417.791980  267.472468  284.987724
     16   9216.0  430.319054  272.394084  288.751954
-    17   9728.0  438.857162  280.615388  290.027323
+    17   9728.0  438.857162  280.278512  289.667485
     18  10240.0  447.650282  286.433562  290.153487
-    19  10752.0  428.651173  246.935876  290.922209
-    20  11264.0  429.786952  245.760001  286.676558
-    21  11776.0  423.089806  249.667843  288.686414
-    22  12288.0  420.102570  254.453844  294.617366
-    23  12800.0  415.135142  253.465340  288.180121
-    24  13312.0  412.242569  252.759501  289.916513
-    25  13824.0  406.090579  257.190689  292.056329
+    19  10752.0  428.651173  247.172406  290.922209
+    20  11264.0  429.104745  245.760001  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  253.674644  288.180121
+    24  13312.0  412.775186  252.959629  289.916513
+    25  13824.0  406.090579  257.290415  292.056329
     26  14336.0  395.930964  254.485198  286.959121
-    27  14848.0  386.918555  257.479779  289.481735
-    28  15360.0  373.117425  257.790220  287.550706
-    29  15872.0  370.192407  261.806182  289.899545
+    27  14848.0  386.498925  257.665934  289.481735
+    28  15360.0  373.495460  257.970599  286.211174
+    29  15872.0  370.192407  261.626369  290.120338
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.428 seconds)
+   **Total running time of the script:** ( 2 minutes  13.353 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 eeaf18016..cb08bfe2e 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
 =================
-**12:45.006** total execution time for **getting-started_tutorials** files:
+**12:51.033** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:27.265 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:26.730 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.388 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:24.515 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.428 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:13.353 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.915 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.424 | 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 b25f01646..1cde66204 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,11 +323,11 @@ 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   76.800002   76.800002
+2       16384.0   31.999999   31.999999
+3       32768.0   63.999998   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  384.000001
+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
@@ -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  41.915 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.424 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 5ba6b2390..22408cadf 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   190.511628
+0     256.0  512.000001      546.133347   188.321838
 1     384.0  614.400016      585.142862   153.600004
-2     512.0  655.360017      606.814814   154.566038
+2     512.0  655.360017      606.814814   156.038096
 3     640.0  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.631953
-94  12288.0  814.111783      415.661740   198.995960
-95  12416.0  812.498981      412.149375   198.556711
-96  12544.0  812.566838      412.971190   198.815254
-97  12672.0  812.633240      412.097543   198.873965
+93  12160.0  814.058574      406.179533   199.140227
+94  12288.0  814.111783      415.222812   199.399583
+95  12416.0  812.498981      412.149375   198.954424
+96  12544.0  812.566838      412.971190   199.209928
+97  12672.0  812.633240      412.097543   199.264875
 
 [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>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.388 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  24.515 seconds)</p>
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