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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 9e1626aa2..0ff43fe9d 100644
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diff --git a/master/_images/sphx_glr_02-fused-softmax_thumb.png b/master/_images/sphx_glr_02-fused-softmax_thumb.png
index 0101bd046..fa5f0aeed 100644
Binary files a/master/_images/sphx_glr_02-fused-softmax_thumb.png and b/master/_images/sphx_glr_02-fused-softmax_thumb.png differ
diff --git a/master/_images/sphx_glr_03-matrix-multiplication_001.png b/master/_images/sphx_glr_03-matrix-multiplication_001.png
index 2648798af..2f628b596 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 4fa4430e2..5ed216bd6 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 1e4c802c1..44b1cdd3f 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 85f5d87f5..60f191b39 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 f611b5b69..4372be1f9 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,18 +234,18 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   38.400001
+    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
-    6      262144.0  341.333321  384.000001
+    6      262144.0  384.000001  341.333321
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  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  39.539 seconds)
+   **Total running time of the script:** ( 1 minutes  47.038 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 ed1eb3f61..d027ac6ad 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   186.181817
-    1     384.0  614.400016      585.142862   151.703707
+    0     256.0  546.133347      546.133347   184.089886
+    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   163.839992
+    3     640.0  706.206879      640.000002   159.377446
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.530610
-    94  12288.0  812.429770      415.661740   198.794749
-    95  12416.0  812.498981      411.722274   198.457532
-    96  12544.0  812.566838      412.971190   198.667643
-    97  12672.0  811.007961      412.097543   198.776477
+    93  12160.0  812.359066      406.179533   198.834951
+    94  12288.0  812.429770      416.101597   199.096718
+    95  12416.0  812.498981      412.149375   198.755369
+    96  12544.0  810.925276      412.546756   199.012395
+    97  12672.0  811.007961      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  31.277 seconds)
+   **Total running time of the script:** ( 3 minutes  30.681 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 fb1b54c3b..c2754d7fc 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -470,26 +470,26 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     8   1280.0  51.200001  ...  57.690139             57.690139
     9   1408.0  64.138541  ...  69.009825             68.147202
     10  1536.0  80.430545  ...  81.355034             79.526831
-    11  1664.0  63.372618  ...  63.822072             62.492442
-    12  1792.0  72.983276  ...  73.460287             59.467852
-    13  1920.0  69.120002  ...  71.257735             71.257735
+    11  1664.0  62.929456  ...  63.372618             62.492442
+    12  1792.0  72.512412  ...  73.460287             59.467852
+    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  ...  86.179335             84.877538
-    18  2560.0  78.019048  ...  82.539044             81.715711
-    19  2688.0  83.186525  ...  90.102270             89.888756
-    20  2816.0  79.733474  ...  83.712490             82.446516
-    21  2944.0  81.564701  ...  83.477440             82.102191
-    22  3072.0  82.540970  ...  88.890270             88.060814
-    23  3200.0  83.879425  ...  96.240602             94.814812
-    24  3328.0  83.226931  ...  83.613586             84.795401
-    25  3456.0  82.604067  ...  90.180725             91.097818
-    26  3584.0  86.958797  ...  99.463928             93.661869
-    27  3712.0  83.247783  ...  89.433611             85.970176
-    28  3840.0  84.228485  ...  92.545605             84.423387
-    29  3968.0  91.266964  ...  86.327507             86.175099
-    30  4096.0  91.867031  ...  93.858555             86.285908
+    15  2176.0  83.500614  ...  87.876193             86.367588
+    16  2304.0  68.446623  ...  77.558029             77.307030
+    17  2432.0  71.305746  ...  86.711310             85.653855
+    18  2560.0  77.833728  ...  82.331658             81.715711
+    19  2688.0  83.369354  ...  90.532356             89.044730
+    20  2816.0  80.026067  ...  84.197315             83.074685
+    21  2944.0  79.993635  ...  83.060049             81.564701
+    22  3072.0  82.301023  ...  88.473602             84.638425
+    23  3200.0  84.321474  ...  96.530922             95.380032
+    24  3328.0  83.130825  ...  85.703924             81.162679
+    25  3456.0  82.688790  ...  86.318594             89.281913
+    26  3584.0  86.958797  ...  98.375705             98.591437
+    27  3712.0  84.230479  ...  88.326564             87.976522
+    28  3840.0  80.960466  ...  84.842346             89.839159
+    29  3968.0  87.004591  ...  92.372393             83.922926
+    30  4096.0  93.206754  ...  82.393504             87.154371
 
     [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  38.626 seconds)
+   **Total running time of the script:** ( 6 minutes  41.839 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 67dbee906..2fbe5d3c1 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:
               N      Triton       Torch        Apex
-    0    1024.0  585.142849  277.694907  481.882344
+    0    1024.0  585.142849  277.694907  468.114273
     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  496.484863
-    5    3584.0  725.873439  384.859062  455.111115
-    6    4096.0  728.177767  381.023256  455.111095
-    7    4608.0  670.254540  396.387087  423.724136
-    8    5120.0  688.403381  397.669909  420.102563
-    9    5632.0  704.000002  398.725657  411.470331
-    10   6144.0  697.191505  402.885254  409.600010
+    2    2048.0  682.666643  334.367358  520.126988
+    3    2560.0  694.237267  365.714281  512.000013
+    4    3072.0  712.347810  378.092307  491.520012
+    5    3584.0  725.873439  384.859062  451.527536
+    6    4096.0  728.177767  381.023256  445.823133
+    7    4608.0  670.254540  394.267384  423.724136
+    8    5120.0  688.403381  397.669909  424.455959
+    9    5632.0  698.542675  395.228063  411.470331
+    10   6144.0  702.171410  402.885254  411.313806
     11   6656.0  700.631610  398.861429  400.360920
-    12   7168.0  690.891575  394.116833  387.459443
-    13   7680.0  678.895043  393.846167  385.203746
-    14   8192.0  636.271854  391.259714  372.363633
-    15   8704.0  627.315309  391.191007  380.502740
-    16   9216.0  606.814809  403.989025  381.023249
+    12   7168.0  690.891575  396.844306  387.459443
+    13   7680.0  678.895043  393.846167  387.634072
+    14   8192.0  636.271854  393.609605  371.308771
+    15   8704.0  627.315309  389.005597  380.502740
+    16   9216.0  606.814809  407.337026  383.999986
     17   9728.0  587.350922  409.599987  383.369452
-    18  10240.0  566.920437  408.578556  382.803739
+    18  10240.0  564.965524  408.578556  382.803739
     19  10752.0  547.872604  411.559798  381.445676
-    20  11264.0  533.207081  400.497785  370.069806
-    21  11776.0  520.486200  409.599991  378.345375
-    22  12288.0  514.680630  413.911572  383.251457
-    23  12800.0  504.433489  410.420828  377.163903
-    24  13312.0  494.180982  406.473303  378.316177
-    25  13824.0  481.882350  410.359948  378.739711
-    26  14336.0  471.967074  402.414053  375.410805
-    27  14848.0  461.297068  406.099164  375.304904
-    28  15360.0  454.269882  406.214870  377.511515
-    29  15872.0  447.098578  408.282944  376.225175
+    20  11264.0  533.207081  406.826188  373.134567
+    21  11776.0  520.486200  409.599991  377.587162
+    22  12288.0  513.336807  413.911572  383.251457
+    23  12800.0  504.433489  410.420828  376.470582
+    24  13312.0  494.180982  405.699062  376.976995
+    25  13824.0  482.934503  411.888257  379.389355
+    26  14336.0  471.967074  406.695045  374.185964
+    27  14848.0  461.297068  408.192434  375.304904
+    28  15360.0  454.269882  406.214870  378.092307
+    29  15872.0  447.098578  406.974373  376.783377
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  36.228 seconds)
+   **Total running time of the script:** ( 5 minutes  40.160 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 4fef02825..b1397b3d3 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.072 seconds)
+   **Total running time of the script:** ( 0 minutes  0.073 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
index 297ebf116..b183968b2 100644
--- a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
+++ b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.010 seconds)
+   **Total running time of the script:** ( 0 minutes  0.013 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.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 7a6a3939f..ccfb2fb9a 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
 =================
-**17:25.764** total execution time for **getting-started_tutorials** files:
+**17:39.814** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:38.626 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:41.839 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:36.228 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:40.160 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:31.277 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.681 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:39.539 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:47.038 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 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_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.013 | 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_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 eb5c368cc..20fb0169b 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -326,23 +326,23 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   38.400001   38.400001
+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
-6      262144.0  341.333321  384.000001
+6      262144.0  384.000001  341.333321
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  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  39.539 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  47.038 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 27a77f963..c3198f706 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)
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index 96f333e3c..6792f5201 100644
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index c200f9138..7739bff5f 100644
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index 118324994..b3b671026 100644
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--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -234,7 +234,7 @@ 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   76.800002
+    3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  341.333321  341.333321
@@ -244,7 +244,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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  842.906750
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  42.417 seconds)
+   **Total running time of the script:** ( 1 minutes  43.820 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 bdb1917e0..53ad3d439 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
@@ -290,13 +290,13 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     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   162.754967
+    4     768.0  722.823517      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.936606
-    94  12288.0  812.429770      415.661740   199.096718
-    95  12416.0  814.163950      412.149375   198.854847
-    96  12544.0  812.566838      412.546756   199.012395
-    97  12672.0  812.633240      412.097543   199.069228
+    93  12160.0  812.359066      406.179533   198.834951
+    94  12288.0  814.111783      415.661740   198.995960
+    95  12416.0  812.498981      411.296057   198.755369
+    96  12544.0  812.566838      412.971190   199.012395
+    97  12672.0  812.633240      412.097543   198.971549
 
     [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  23.539 seconds)
+   **Total running time of the script:** ( 3 minutes  24.302 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 d48d53b9a..d9806f087 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   2.978909  ...   3.276800              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
+    0    256.0   2.730667  ...   2.978909              2.978909
+    1    384.0   7.372800  ...   7.899428              7.899428
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  40.140799             39.025776
+    5    896.0  39.025776  ...  40.140799             39.025776
     6   1024.0  51.150050  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  47.396572             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  ...  80.430545             79.526831
     11  1664.0  62.929456  ...  62.492442             62.061463
     12  1792.0  72.983276  ...  72.512412             72.047592
     13  1920.0  69.120002  ...  70.530615             70.530615
-    14  2048.0  73.908442  ...  76.959706             76.959706
-    15  2176.0  83.500614  ...  85.998493             85.269692
-    16  2304.0  68.251065  ...  76.809875             76.563695
+    14  2048.0  73.908442  ...  77.314362             76.959706
+    15  2176.0  83.500614  ...  85.998493             85.632545
+    16  2304.0  68.251065  ...  76.809875             76.809875
     17  2432.0  71.305746  ...  74.719317             84.877538
-    18  2560.0  77.833728  ...  81.310171             81.108913
-    19  2688.0  83.369354  ...  89.044730             88.422041
-    20  2816.0  78.868366  ...  83.074685             83.074685
-    21  2944.0  80.380696  ...  82.646820             82.921853
-    22  3072.0  81.943708  ...  83.146995             88.335577
-    23  3200.0  84.099871  ...  95.808380             94.814812
-    24  3328.0  83.710812  ...  84.995628             84.546440
-    25  3456.0  81.683457  ...  90.079964             89.183149
-    26  3584.0  84.229877  ...  90.367227             97.100854
-    27  3712.0  85.528545  ...  88.404730             87.094458
-    28  3840.0  82.716526  ...  86.332554             91.322872
-    29  3968.0  85.750244  ...  91.130650             85.751184
-    30  4096.0  93.466385  ...  92.309303             87.267706
+    18  2560.0  77.833728  ...  81.108913             80.511054
+    19  2688.0  83.369354  ...  89.676257             89.254248
+    20  2816.0  79.154642  ...  83.552120             82.916747
+    21  2944.0  81.967162  ...  82.646820             82.441740
+    22  3072.0  82.540970  ...  89.593522             86.712254
+    23  3200.0  80.503145  ...  91.756271             93.158662
+    24  3328.0  82.275764  ...  84.795401             85.602017
+    25  3456.0  82.688790  ...  91.046379             88.400840
+    26  3584.0  87.381330  ...  97.522120             98.160909
+    27  3712.0  84.159518  ...  88.326564             83.040189
+    28  3840.0  84.164384  ...  92.159996             85.333335
+    29  3968.0  92.723355  ...  84.038524             91.130650
+    30  4096.0  87.495257  ...  86.536250             91.992956
 
     [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  24.435 seconds)
+   **Total running time of the script:** ( 5 minutes  23.071 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 508551ba1..89958667e 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   98.303995  307.200008
-    1    1536.0  354.461542  135.032961  341.333333
-    2    2048.0  423.724127  160.104230  323.368435
-    3    2560.0  461.954908  180.705883  326.808501
-    4    3072.0  519.211251  191.999993  319.168834
-    5    3584.0  551.384634  208.776702  309.410081
-    6    4096.0  568.231237  220.907859  300.623865
-    7    4608.0  500.416301  232.825259  292.571431
-    8    5120.0  527.381977  244.294240  289.129408
-    9    5632.0  545.032265  244.869560  291.310338
-    10   6144.0  550.208948  251.202731  288.563606
-    11   6656.0  539.675652  256.410903  286.793541
-    12   7168.0  512.000004  253.734520  277.470965
-    13   7680.0  491.519996  267.130429  284.884090
-    14   8192.0  463.698115  259.377306  280.467910
-    15   8704.0  416.958106  267.130429  285.377055
-    16   9216.0  430.319054  273.742580  289.887291
-    17   9728.0  438.033784  280.615388  288.950501
-    18  10240.0  446.836366  286.767793  289.811322
-    19  10752.0  431.518385  246.699797  289.941565
-    20  11264.0  430.471331  245.313973  285.465683
-    21  11776.0  421.826879  249.227509  289.277383
-    22  12288.0  418.909088  254.893699  294.617366
-    23  12800.0  414.574901  253.674644  289.811310
-    24  13312.0  412.242569  252.559690  290.179836
-    25  13824.0  404.604870  257.190689  292.313649
-    26  14336.0  398.683664  256.000002  289.129416
-    27  14848.0  382.351933  257.479779  289.012175
-    28  15360.0  377.704925  258.151252  288.000007
-    29  15872.0  368.046389  261.806182  289.899545
+    0    1024.0  311.088617   93.801531  292.571431
+    1    1536.0  351.085717  135.529409  344.523365
+    2    2048.0  423.724127  161.684218  325.509933
+    3    2560.0  461.954908  183.402991  330.322572
+    4    3072.0  519.211251  191.999993  317.793096
+    5    3584.0  551.384634  208.271186  309.410081
+    6    4096.0  564.965515  220.907859  301.546004
+    7    4608.0  500.416301  233.316456  292.571431
+    8    5120.0  529.655159  242.845844  287.775181
+    9    5632.0  536.380957  243.545956  290.683877
+    10   6144.0  544.118087  250.349744  286.322318
+    11   6656.0  534.260858  255.182111  284.748652
+    12   7168.0  510.480705  255.619613  278.820105
+    13   7680.0  486.332448  265.208635  280.975614
+    14   8192.0  460.440290  266.046015  282.482757
+    15   8704.0  417.791980  264.425310  283.826081
+    16   9216.0  428.651187  270.065931  286.879380
+    17   9728.0  438.857162  281.971008  288.593329
+    18  10240.0  446.025405  286.100109  289.129408
+    19  10752.0  429.364408  246.699797  290.267711
+    20  11264.0  429.104745  245.091565  286.372873
+    21  11776.0  423.724129  248.569911  288.097854
+    22  12288.0  420.701865  252.493141  294.323369
+    23  12800.0  415.135142  253.465340  287.640454
+    24  13312.0  411.711355  253.160074  290.707920
+    25  13824.0  406.588243  257.790206  292.571423
+    26  14336.0  396.844280  254.109315  287.438588
+    27  14848.0  386.080180  256.737757  290.662311
+    28  15360.0  373.874218  259.422943  289.811315
+    29  15872.0  370.913333  263.071829  291.452168
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.851 seconds)
+   **Total running time of the script:** ( 2 minutes  11.781 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 3440746bc..49a3c7987 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
 =================
-**12:42.252** total execution time for **getting-started_tutorials** files:
+**12:42.984** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.435 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.071 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.539 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:24.302 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.851 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.781 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.417 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.820 | 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 e805d337d..550a5b45c 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,7 +324,7 @@ 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   76.800002
+3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  341.333321  341.333321
@@ -334,12 +334,12 @@ for different problem sizes.</p>
 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  842.906750
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  42.417 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.820 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 1add24135..c90db956c 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -378,13 +378,13 @@ We will then compare its performance against (1) <code class="code docutils lite
 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   162.754967
+4     768.0  722.823517      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.936606
-94  12288.0  812.429770      415.661740   199.096718
-95  12416.0  814.163950      412.149375   198.854847
-96  12544.0  812.566838      412.546756   199.012395
-97  12672.0  812.633240      412.097543   199.069228
+93  12160.0  812.359066      406.179533   198.834951
+94  12288.0  814.111783      415.661740   198.995960
+95  12416.0  812.498981      411.296057   198.755369
+96  12544.0  812.566838      412.971190   199.012395
+97  12672.0  812.633240      412.097543   198.971549
 
 [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  23.539 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  24.302 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 291abaf43..cc42107ae 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,42 +568,42 @@ 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   2.730667  ...   2.978909              2.978909
+1    384.0   7.372800  ...   7.899428              7.899428
 2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  34.028308             34.028308
-5    896.0  37.971025  ...  40.140799             39.025776
+5    896.0  39.025776  ...  40.140799             39.025776
 6   1024.0  51.150050  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  47.396572             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  ...  80.430545             79.526831
 11  1664.0  62.929456  ...  62.492442             62.061463
 12  1792.0  72.983276  ...  72.512412             72.047592
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