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diff --git a/master/_images/sphx_glr_02-fused-softmax_001.png b/master/_images/sphx_glr_02-fused-softmax_001.png
index cfaf4ff23..c75d8bab8 100644
Binary files a/master/_images/sphx_glr_02-fused-softmax_001.png and b/master/_images/sphx_glr_02-fused-softmax_001.png differ
diff --git a/master/_images/sphx_glr_02-fused-softmax_thumb.png b/master/_images/sphx_glr_02-fused-softmax_thumb.png
index 8a41f4754..771502b28 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_001.png b/master/_images/sphx_glr_03-matrix-multiplication_001.png
index 41d731736..c084cb525 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png
index eb1daaf95..10c3640bb 100644
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diff --git a/master/_images/sphx_glr_05-layer-norm_001.png b/master/_images/sphx_glr_05-layer-norm_001.png
index ec97685c4..e1436cd2e 100644
Binary files a/master/_images/sphx_glr_05-layer-norm_001.png and b/master/_images/sphx_glr_05-layer-norm_001.png differ
diff --git a/master/_images/sphx_glr_05-layer-norm_thumb.png b/master/_images/sphx_glr_05-layer-norm_thumb.png
index 1a806dcdf..6c7d393ee 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 c5eca82bf..d74fe5da0 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,10 +235,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   63.999998
+    3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  341.333321
+    6      262144.0  341.333321  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
@@ -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  44.131 seconds)
+   **Total running time of the script:** ( 1 minutes  42.421 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 da9efca04..331a4ce7a 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  546.133347      546.133347   188.321838
+    0     256.0  546.133347      546.133347   186.181817
     1     384.0  614.400016      585.142862   151.703707
     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   163.839992
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.333344   198.936606
-    94  12288.0  812.429770      415.222812   199.096718
-    95  12416.0  812.498981      411.722274   198.904612
-    96  12544.0  810.925276      412.971190   199.012395
-    97  12672.0  811.007961      412.097543   199.167004
+    93  12160.0  812.359066      405.755985   198.936606
+    94  12288.0  812.429770      415.661740   199.096718
+    95  12416.0  812.498981      411.722274   198.655991
+    96  12544.0  810.925276      412.971190   198.913776
+    97  12672.0  811.007961      412.097543   198.971549
 
     [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  32.289 seconds)
+   **Total running time of the script:** ( 3 minutes  32.935 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 a205d64f7..597b1de01 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   3.276800              2.978909
+    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
+    2    512.0  14.563555  ...  16.384000             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             39.025776
     6   1024.0  49.932191  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  48.161033             47.396572
+    7   1152.0  45.242181  ...  47.396572             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  69.009825             68.147202
+    9   1408.0  64.138541  ...  68.147202             67.305878
     10  1536.0  80.430545  ...  81.355034             79.526831
     11  1664.0  62.929456  ...  63.372618             62.492442
     12  1792.0  72.512412  ...  73.460287             59.467852
-    13  1920.0  69.120002  ...  71.257735             71.257735
+    13  1920.0  69.120002  ...  71.626943             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
     15  2176.0  83.500614  ...  87.494120             85.998493
-    16  2304.0  68.446623  ...  78.064941             77.307030
-    17  2432.0  71.305746  ...  86.444504             83.614477
-    18  2560.0  77.833728  ...  82.747477             80.908642
-    19  2688.0  83.369354  ...  90.316801             89.359378
-    20  2816.0  80.026067  ...  83.712490             83.074685
-    21  2944.0  82.102191  ...  83.337844             82.784108
-    22  3072.0  81.707223  ...  89.735509             88.335577
-    23  3200.0  84.880639  ...  96.676741             95.665176
-    24  3328.0  83.130825  ...  84.596116             84.496824
-    25  3456.0  82.266905  ...  91.928814             91.200871
-    26  3584.0  83.101104  ...  93.224874             90.367227
-    27  3712.0  85.019017  ...  89.194055             82.287760
-    28  3840.0  84.550462  ...  91.587578             84.582788
-    29  3968.0  87.850207  ...  85.690965             90.054568
-    30  4096.0  86.370931  ...  85.981029             91.867031
+    16  2304.0  68.446623  ...  77.558029             77.307030
+    17  2432.0  71.305746  ...  86.179335             85.653855
+    18  2560.0  77.833728  ...  82.539044             81.715711
+    19  2688.0  83.369354  ...  91.185232             89.254248
+    20  2816.0  79.443003  ...  84.523664             83.233226
+    21  2944.0  82.373605  ...  83.337844             82.784108
+    22  3072.0  81.707223  ...  89.310890             88.890270
+    23  3200.0  84.656085  ...  96.969694             95.808380
+    24  3328.0  81.530349  ...  84.795401             84.397770
+    25  3456.0  81.435930  ...  89.380896             91.304157
+    26  3584.0  87.042978  ...  99.244365             98.375705
+    27  3712.0  85.019017  ...  87.706180             87.629253
+    28  3840.0  81.859361  ...  86.265212             90.352941
+    29  3968.0  85.811488  ...  91.954739             84.856701
+    30  4096.0  93.206754  ...  86.816123             84.599893
 
     [31 rows x 5 columns]
 
@@ -499,7 +499,7 @@ 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  36.792 seconds)
+   **Total running time of the script:** ( 6 minutes  41.087 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..f0aa2598c 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  0.011 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 2e4f353ac..32632232f 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -42,32 +42,32 @@ Layer Normalization
     1    1536.0  630.153868  323.368435  511.999982
     2    2048.0  668.734716  337.814445  520.126988
     3    2560.0  694.237267  362.477870  518.481028
-    4    3072.0  712.347810  378.092307  506.721668
+    4    3072.0  702.171410  375.206126  501.551037
     5    3584.0  725.873439  384.859062  455.111115
-    6    4096.0  736.359542  381.023256  455.111095
+    6    4096.0  728.177767  381.023256  455.111095
     7    4608.0  670.254540  396.387087  426.173427
-    8    5120.0  688.403381  397.669909  426.666652
-    9    5632.0  704.000002  396.969169  411.470331
+    8    5120.0  688.403381  397.669909  424.455959
+    9    5632.0  698.542675  398.725657  413.357796
     10   6144.0  702.171410  402.885254  411.313806
-    11   6656.0  700.631610  400.360920  400.360920
-    12   7168.0  690.891575  388.772874  384.859062
+    11   6656.0  700.631610  400.360920  398.861429
+    12   7168.0  690.891575  382.293315  382.293315
     13   7680.0  678.895043  392.587863  386.415087
-    14   8192.0  633.198054  393.609605  377.729113
-    15   8704.0  624.502255  390.095225  380.502740
-    16   9216.0  606.814809  407.337026  383.999986
-    17   9728.0  587.350922  409.599987  382.427505
-    18  10240.0  564.965524  409.600010  382.803739
+    14   8192.0  642.509816  392.431125  376.643677
+    15   8704.0  627.315309  392.292962  380.502740
+    16   9216.0  606.814809  403.989025  383.999986
+    17   9728.0  589.575753  408.524944  382.427505
+    18  10240.0  566.920437  408.578556  381.911416
     19  10752.0  547.872604  411.559798  380.601764
-    20  11264.0  531.634232  403.185684  371.595879
-    21  11776.0  520.486200  410.492372  377.587162
-    22  12288.0  514.680630  413.911572  382.505826
+    20  11264.0  531.634232  396.969169  369.311483
+    21  11776.0  520.486200  408.711507  376.831982
+    22  12288.0  513.336807  413.911572  382.505826
     23  12800.0  504.433489  410.420828  377.163903
-    24  13312.0  494.180982  407.250459  377.645399
-    25  13824.0  481.882350  411.888257  379.389355
-    26  14336.0  471.967074  403.830973  372.969090
-    27  14848.0  460.403127  406.794504  375.304904
-    28  15360.0  454.269882  406.214870  377.511515
-    29  15872.0  447.098578  408.282944  376.225175
+    24  13312.0  494.180982  404.927765  376.310952
+    25  13824.0  481.882350  411.122660  379.389355
+    26  14336.0  471.967074  400.307157  373.576536
+    27  14848.0  460.403127  404.715511  374.712936
+    28  15360.0  454.269882  406.887417  378.674888
+    29  15872.0  447.887117  407.627589  376.225175
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  38.038 seconds)
+   **Total running time of the script:** ( 5 minutes  40.350 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
diff --git a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
index d78c6a14f..59412ecd7 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -390,7 +390,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.073 seconds)
+   **Total running time of the script:** ( 0 minutes  0.071 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.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 046cfc3b2..2aba9ab6b 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**17:31.345** total execution time for **getting-started_tutorials** files:
+**17:36.885** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:36.792 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:41.087 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:38.038 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:40.350 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.289 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.935 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.131 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.421 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.073 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.071 | 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``)       | 00:00.011 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 6c78b50d9..e5c8bfe06 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -327,10 +327,10 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   63.999998
+3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  341.333321
+6      262144.0  341.333321  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
@@ -342,7 +342,7 @@ 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  44.131 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  42.421 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 4ed1f1e3b..2ce6ff602 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,17 +371,17 @@ 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  546.133347      546.133347   188.321838
+0     256.0  546.133347      546.133347   186.181817
 1     384.0  614.400016      585.142862   151.703707
 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   163.839992
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.333344   198.936606
-94  12288.0  812.429770      415.222812   199.096718
-95  12416.0  812.498981      411.722274   198.904612
-96  12544.0  810.925276      412.971190   199.012395
-97  12672.0  811.007961      412.097543   199.167004
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diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index edbcf8120..e0cda4673 100644
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--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,17 +234,17 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   63.999998
+    3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  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
 
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  40.326 seconds)
+   **Total running time of the script:** ( 1 minutes  44.518 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 b19e92692..c7ab9c6c3 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
@@ -287,16 +287,16 @@ 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
-    1     384.0  614.400016      585.142862   153.600004
-    2     512.0  655.360017      585.142849   156.038096
+    1     384.0  585.142862      585.142862   151.703707
+    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   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      405.333344   199.038365
-    94  12288.0  814.111783      415.222812   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      411.679167   199.264875
+    93  12160.0  814.058574      405.755985   198.530610
+    94  12288.0  814.111783      415.661740   198.895304
+    95  12416.0  812.498981      411.296057   198.556711
+    96  12544.0  812.566838      412.971190   198.815254
+    97  12672.0  812.633240      412.097543   198.873965
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  22.377 seconds)
+   **Total running time of the script:** ( 3 minutes  22.299 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 e5ba72e59..6edee1201 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
@@ -462,8 +462,8 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   3.276800              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
+    0    256.0   2.978909  ...   3.276800              3.276800
+    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
@@ -474,25 +474,25 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     9   1408.0  64.138541  ...  67.305878             66.485074
     10  1536.0  80.430545  ...  79.526831             78.643199
     11  1664.0  62.929456  ...  62.061463             62.061463
-    12  1792.0  72.512412  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.172588             70.530615
+    12  1792.0  72.512412  ...  71.588687             71.588687
+    13  1920.0  69.120002  ...  70.530615             70.530615
     14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.500614  ...  86.367588             85.269692
-    16  2304.0  68.251065  ...  76.809875             76.563695
+    15  2176.0  83.500614  ...  86.367588             85.632545
+    16  2304.0  68.446623  ...  76.809875             76.076024
     17  2432.0  71.305746  ...  74.918570             84.367759
-    18  2560.0  77.833728  ...  80.709358             80.908642
-    19  2688.0  83.186525  ...  88.836198             89.149366
-    20  2816.0  79.733474  ...  82.916747             82.446516
-    21  2944.0  82.237674  ...  82.102191             81.832567
-    22  3072.0  81.589488  ...  88.473602             88.473602
-    23  3200.0  84.656085  ...  92.485553             95.238096
-    24  3328.0  83.516586  ...  84.101981             84.695641
-    25  3456.0  81.518272  ...  89.480098             90.892410
-    26  3584.0  87.636833  ...  93.661869             96.424013
-    27  3712.0  85.528545  ...  84.766519             87.361037
-    28  3840.0  82.654712  ...  87.080314             91.097196
-    29  3968.0  86.973584  ...  91.266964             84.856701
-    30  4096.0  93.466385  ...  89.359338             87.267706
+    18  2560.0  77.833728  ...  81.512437             80.511054
+    19  2688.0  83.922689  ...  88.836198             89.254248
+    20  2816.0  79.587973  ...  82.916747             83.233226
+    21  2944.0  81.967162  ...  79.737653             82.646820
+    22  3072.0  82.540970  ...  87.381335             87.246694
+    23  3200.0  82.368085  ...  91.822093             93.430660
+    24  3328.0  79.901550  ...  84.895397             85.096096
+    25  3456.0  82.099354  ...  90.994998             88.595129
+    26  3584.0  86.540320  ...  93.661869             95.047985
+    27  3712.0  81.682211  ...  92.326568             87.514102
+    28  3840.0  80.139129  ...  84.550462             91.625518
+    29  3968.0  85.811488  ...  91.266964             83.606668
+    30  4096.0  93.792965  ...  91.304576             87.267706
 
     [31 rows x 5 columns]
 
@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  19.704 seconds)
+   **Total running time of the script:** ( 5 minutes  22.782 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 c1ac25fc3..9a7980552 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  311.088617   94.160917  292.571431
-    1    1536.0  351.085717  135.032961  341.333333
-    2    2048.0  427.408686  161.684218  323.368435
-    3    2560.0  465.454542  183.677138  326.808501
-    4    3072.0  519.211251  191.999993  317.793096
-    5    3584.0  554.941930  207.768111  310.527060
-    6    4096.0  568.231237  220.412561  299.707322
-    7    4608.0  500.416301  233.316456  287.999990
-    8    5120.0  531.948056  242.845844  288.450695
-    9    5632.0  542.843364  241.371422  287.591490
-    10   6144.0  540.131844  250.775512  288.000001
-    11   6656.0  532.479975  256.000009  286.279570
-    12   7168.0  510.480705  256.764187  281.558103
-    13   7680.0  483.779539  262.938666  280.547947
-    14   8192.0  461.521112  262.493992  276.134828
-    15   8704.0  416.127506  264.760452  282.673891
-    16   9216.0  429.483477  270.065931  286.507772
-    17   9728.0  438.033784  280.278512  289.308559
-    18  10240.0  445.217381  285.435547  289.811322
-    19  10752.0  430.797982  246.229020  290.594591
-    20  11264.0  428.424741  245.983625  286.980888
-    21  11776.0  423.724129  249.447482  288.981596
-    22  12288.0  421.302872  253.360821  294.323369
-    23  12800.0  414.574901  253.047766  288.993430
-    24  13312.0  410.652963  251.763593  290.048115
-    25  13824.0  403.620451  256.792581  291.799461
-    26  14336.0  396.844280  252.988236  285.767449
-    27  14848.0  380.311643  257.108233  289.246765
-    28  15360.0  376.932517  259.605636  288.225185
-    29  15872.0  368.758973  264.349752  292.122692
+    0    1024.0  311.088617   99.096776  303.407414
+    1    1536.0  351.085717  135.529409  341.333333
+    2    2048.0  427.408686  160.104230  323.368435
+    3    2560.0  465.454542  182.314537  330.322572
+    4    3072.0  519.211251  192.501302  319.168834
+    5    3584.0  554.941930  208.776702  310.527060
+    6    4096.0  571.534884  220.412561  300.623865
+    7    4608.0  502.690905  233.316456  290.267724
+    8    5120.0  527.381977  241.414550  286.433562
+    9    5632.0  540.671974  241.803217  288.820505
+    10   6144.0  538.160602  250.775512  288.000001
+    11   6656.0  528.953642  256.000009  285.257135
+    12   7168.0  510.480705  250.775516  274.373205
+    13   7680.0  481.253256  264.068761  280.121579
+    14   8192.0  461.521112  265.686491  281.673345
+    15   8704.0  416.958106  264.425310  282.673891
+    16   9216.0  431.157889  271.391419  287.625496
+    17   9728.0  438.857162  280.615388  288.593329
+    18  10240.0  445.217381  286.433562  288.450695
+    19  10752.0  429.364408  246.935876  290.267711
+    20  11264.0  429.104745  243.765566  284.264977
+    21  11776.0  421.826879  249.227509  288.686414
+    22  12288.0  421.905564  253.578674  294.617366
+    23  12800.0  416.260178  253.465340  288.180121
+    24  13312.0  410.125805  252.360194  289.653667
+    25  13824.0  407.087128  257.190689  291.799461
+    26  14336.0  398.222222  251.692749  284.115601
+    27  14848.0  385.245405  255.266469  286.687039
+    28  15360.0  376.163261  260.522978  289.583654
+    29  15872.0  370.552519  263.618003  292.122692
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.098 seconds)
+   **Total running time of the script:** ( 2 minutes  11.871 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 4c3d08c2e..e3b5d54cb 100644
--- a/v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**12:33.515** total execution time for **getting-started_tutorials** files:
+**12:41.480** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:19.704 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:22.782 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.377 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.299 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.098 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.871 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.326 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.518 | 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 8ff7cc84b..f2dde043c 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,22 +324,22 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   63.999998
+3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  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  40.326 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  44.518 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 1bbdb62a0..99d5b70d3 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -375,16 +375,16 @@ 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   190.511628
-1     384.0  614.400016      585.142862   153.600004
-2     512.0  655.360017      585.142849   156.038096
+1     384.0  585.142862      585.142862   151.703707
+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   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      405.333344   199.038365
-94  12288.0  814.111783      415.222812   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      411.679167   199.264875
+93  12160.0  814.058574      405.755985   198.530610
+94  12288.0  814.111783      415.661740   198.895304
+95  12416.0  812.498981      411.296057   198.556711
+96  12544.0  812.566838      412.971190   198.815254
+97  12672.0  812.633240      412.097543   198.873965
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.377 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.299 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/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
index 18d5d2768..9daa75ad2 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,8 +568,8 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.978909  ...   3.276800              2.978909
-1    384.0   7.372800  ...   8.507077              8.507077
+0    256.0   2.978909  ...   3.276800              3.276800
+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
@@ -580,30 +580,30 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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