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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 3b546a8db..2f3b91271 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 e31e42bad..431c619a8 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 eed2a35e6..3b20bc6d6 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 3b7b846ba..debcf9058 100644
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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 090b8a17a..635a6a5bf 100644
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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 23aeee474..4b5354835 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,8 +234,8 @@ 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   63.999998   63.999998
+    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
@@ -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  47.167 seconds)
+   **Total running time of the script:** ( 1 minutes  43.396 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 ee6868b08..669f26208 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,16 +278,16 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  546.133347      546.133347   186.181817
+    0     256.0  546.133347      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  812.359066      406.179533   198.834951
+    93  12160.0  812.359066      406.179533   198.936606
     94  12288.0  812.429770      415.661740   199.197579
-    95  12416.0  812.498981      412.149375   198.755369
-    96  12544.0  810.925276      412.971190   199.012395
+    95  12416.0  812.498981      412.149375   198.854847
+    96  12544.0  810.925276      412.971190   199.111113
     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  30.809 seconds)
+   **Total running time of the script:** ( 3 minutes  29.369 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 de8709881..ebed76410 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  ...   2.978909              2.978909
+    0    256.0   2.730667  ...   3.276800              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  35.389441             34.028308
     5    896.0  39.025776  ...  40.140799             39.025776
-    6   1024.0  49.932191  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  47.396572             47.396572
+    6   1024.0  51.150050  ...  53.773130             52.428801
+    7   1152.0  45.242181  ...  48.161033             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  68.147202             67.305878
+    9   1408.0  64.138541  ...  69.009825             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  ...  71.626943             71.257735
+    13  1920.0  68.776119  ...  71.626943             70.892307
     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             77.057651
-    17  2432.0  71.305746  ...  85.915795             75.522751
-    18  2560.0  78.019048  ...  82.956960             81.512437
-    19  2688.0  83.737433  ...  90.102270             88.836198
-    20  2816.0  80.026067  ...  84.197315             83.233226
-    21  2944.0  81.967162  ...  83.198715             83.337844
-    22  3072.0  81.943708  ...  87.924073             86.845249
-    23  3200.0  79.900126  ...  96.385543             95.522391
-    24  3328.0  83.613586  ...  85.196803             84.298943
-    25  3456.0  81.849303  ...  91.615417             85.676480
-    26  3584.0  84.825838  ...  91.470385             95.249353
-    27  3712.0  84.088676  ...  88.561477             84.910620
-    28  3840.0  85.070769  ...  91.473945             85.796739
-    29  3968.0  88.938731  ...  92.337443             87.159957
-    30  4096.0  93.596744  ...  92.916396             86.396995
+    15  2176.0  83.155572  ...  87.876193             86.367588
+    16  2304.0  68.446623  ...  78.064941             77.307030
+    17  2432.0  71.305746  ...  86.179335             75.320281
+    18  2560.0  77.926278  ...  82.539044             81.310171
+    19  2688.0  83.369354  ...  90.532356             89.676257
+    20  2816.0  79.587973  ...  83.392363             83.153880
+    21  2944.0  81.967162  ...  83.337844             82.102191
+    22  3072.0  81.355034  ...  87.112467             88.750943
+    23  3200.0  84.880639  ...  96.676741             95.238096
+    24  3328.0  82.748617  ...  85.297742             84.101981
+    25  3456.0  82.688790  ...  91.615417             89.679166
+    26  3584.0  87.466332  ...  88.066008             95.960933
+    27  3712.0  81.548851  ...  87.629253             87.552452
+    28  3840.0  81.079177  ...  85.996889             90.058629
+    29  3968.0  86.849777  ...  91.609561             85.093402
+    30  4096.0  92.948562  ...  86.816123             86.592080
 
     [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:** ( 7 minutes  11.839 seconds)
+   **Total running time of the script:** ( 7 minutes  9.656 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 2abbb6d1d..94cda6ab9 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  0.293 seconds)
+   **Total running time of the script:** ( 0 minutes  0.280 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 0739b4f70..bfd3c5fdf 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,28 +40,28 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  585.142849  277.694907  481.882344
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  668.734716  334.367358  520.126988
+    2    2048.0  668.734716  334.367358  528.516136
     3    2560.0  694.237267  365.714281  512.000013
     4    3072.0  712.347810  378.092307  501.551037
     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  428.651163
     8    5120.0  688.403381  397.669909  422.268057
-    9    5632.0  704.000002  395.228063  417.185184
+    9    5632.0  704.000002  396.969169  417.185184
     10   6144.0  697.191505  402.885254  411.313806
     11   6656.0  705.271522  400.360920  400.360920
     12   7168.0  690.891575  396.844306  387.459443
-    13   7680.0  678.895043  392.587863  387.634072
-    14   8192.0  633.198054  393.609605  371.308771
+    13   7680.0  682.666656  393.846167  387.634072
+    14   8192.0  639.375598  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  564.965524  408.578556  382.803739
     19  10752.0  547.872604  411.559798  381.445676
     20  11264.0  533.207081  406.826188  373.134567
-    21  11776.0  520.486200  409.599991  377.587162
-    22  12288.0  514.680630  413.911572  383.251457
-    23  12800.0  504.433489  410.420828  377.163903
+    21  11776.0  520.486200  409.599991  378.345375
+    22  12288.0  514.680630  414.784810  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
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  31.924 seconds)
+   **Total running time of the script:** ( 5 minutes  32.086 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 f7b9921d5..4fef02825 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  0.071 seconds)
+   **Total running time of the script:** ( 0 minutes  0.072 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 7db38fb6e..3e41924f7 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  0.254 seconds)
+   **Total running time of the script:** ( 0 minutes  0.261 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 fdefcf10a..154b5c78e 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
 =================
-**18:02.357** total execution time for **getting-started_tutorials** files:
+**17:55.119** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:11.839 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:09.656 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:31.924 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:32.086 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.809 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:29.369 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:47.167 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.396 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.293 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.280 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.254 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.261 | 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_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 9129a3a28..cc847358d 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -326,8 +326,8 @@ 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   63.999998   63.999998
+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
@@ -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  47.167 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.396 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 2571b241c..0fe05a9ea 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,16 +371,16 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  546.133347      546.133347   186.181817
+0     256.0  546.133347      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  812.359066      406.179533   198.834951
+93  12160.0  812.359066      406.179533   198.936606
 94  12288.0  812.429770      415.661740   199.197579
-95  12416.0  812.498981      412.149375   198.755369
-96  12544.0  810.925276      412.971190   199.012395
+95  12416.0  812.498981      412.149375   198.854847
+96  12544.0  810.925276      412.971190   199.111113
 97  12672.0  811.007961      412.097543   199.167004
 
 [98 rows x 4 columns]
@@ -394,7 +394,7 @@ 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  30.809 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  29.369 seconds)</p>
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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 2a33fac73..b6952561b 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
@@ -567,42 +567,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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-6   1024.0  49.932191  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  47.396572             47.396572
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-9   1408.0  64.138541  ...  68.147202             67.305878
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 11  1664.0  62.929456  ...  63.372618             62.492442
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-13  1920.0  69.120002  ...  71.626943             71.257735
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-15  2176.0  83.500614  ...  87.494120             85.998493
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-17  2432.0  71.305746  ...  85.915795             75.522751
-18  2560.0  78.019048  ...  82.956960             81.512437
-19  2688.0  83.737433  ...  90.102270             88.836198
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-21  2944.0  81.967162  ...  83.198715             83.337844
-22  3072.0  81.943708  ...  87.924073             86.845249
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-24  3328.0  83.613586  ...  85.196803             84.298943
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-28  3840.0  85.070769  ...  91.473945             85.796739
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-30  4096.0  93.596744  ...  92.916396             86.396995
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+21  2944.0  81.967162  ...  83.337844             82.102191
+22  3072.0  81.355034  ...  87.112467             88.750943
+23  3200.0  84.880639  ...  96.676741             95.238096
+24  3328.0  82.748617  ...  85.297742             84.101981
+25  3456.0  82.688790  ...  91.615417             89.679166
+26  3584.0  87.466332  ...  88.066008             95.960933
+27  3712.0  81.548851  ...  87.629253             87.552452
+28  3840.0  81.079177  ...  85.996889             90.058629
+29  3968.0  86.849777  ...  91.609561             85.093402
+30  4096.0  92.948562  ...  86.816123             86.592080
 
 [31 rows x 5 columns]
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diff --git a/master/getting-started/tutorials/04-low-memory-dropout.html b/master/getting-started/tutorials/04-low-memory-dropout.html
index a09f6b467..e02154854 100644
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@@ -374,7 +374,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index 63ddfec35..118324994 100644
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index 7d45d1570..583d4f8c9 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 bcabbc748..1bc93c7ad 100644
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diff --git a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
index a314f083f..b5f3490e3 100644
--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -237,7 +237,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  341.333321
+    6      262144.0  384.000001  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  38.377 seconds)
+   **Total running time of the script:** ( 1 minutes  32.414 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 ed0d117e9..2858ad2c9 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     6.756288
+    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  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      411.722274   198.655991
-    96  12544.0  812.566838      412.546756   198.815254
-    97  12672.0  812.633240      412.097543   198.971549
+    93  12160.0  814.058574      406.603966   199.038365
+    94  12288.0  814.111783      416.101597   199.298541
+    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   199.167004
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  22.011 seconds)
+   **Total running time of the script:** ( 3 minutes  18.646 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 65ff3d4b7..6a4338741 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   3.276800              2.978909
+    0    256.0   2.978909  ...   3.276800              3.276800
     1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  32.768000  ...  34.028308             34.028308
+    4    768.0  32.768000  ...  35.389441             34.028308
     5    896.0  39.025776  ...  39.025776             39.025776
-    6   1024.0  51.150050  ...  52.428801             52.428801
+    6   1024.0  51.150050  ...  53.773130             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.888887
-    9   1408.0  64.138541  ...  67.305878             67.305878
-    10  1536.0  80.430545  ...  79.526831             79.526831
-    11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.512412             72.047592
-    13  1920.0  69.467336  ...  70.892307             70.530615
-    14  2048.0  74.235468  ...  77.314362             76.959706
-    15  2176.0  83.500614  ...  86.367588             85.632545
-    16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  83.614477             84.877538
-    18  2560.0  77.833728  ...  81.512437             81.108913
-    19  2688.0  83.552988  ...  89.464755             89.888756
-    20  2816.0  81.067298  ...  83.233226             82.602666
-    21  2944.0  82.102191  ...  82.784108             82.921853
-    22  3072.0  81.707223  ...  86.315709             88.197981
-    23  3200.0  84.210524  ...  94.955488             95.451158
-    24  3328.0  82.653612  ...  82.275764             84.695641
-    25  3456.0  80.945348  ...  91.046379             91.097818
-    26  3584.0  85.106854  ...  90.367227             96.475743
-    27  3712.0  85.528545  ...  87.783251             87.475786
-    28  3840.0  82.716526  ...  86.400002             91.701494
-    29  3968.0  85.811488  ...  91.678389             83.690893
-    30  4096.0  93.792965  ...  89.418872             87.324485
+    8   1280.0  51.200001  ...  56.888887             56.109587
+    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  ...  70.530615             70.172588
+    14  2048.0  73.908442  ...  77.314362             76.959706
+    15  2176.0  83.500614  ...  85.632545             85.269692
+    16  2304.0  68.251065  ...  76.319081             76.809875
+    17  2432.0  71.305746  ...  74.918570             83.366361
+    18  2560.0  78.019048  ...  81.310171             81.108913
+    19  2688.0  83.369354  ...  90.316801             89.464755
+    20  2816.0  79.733474  ...  82.135981             83.392363
+    21  2944.0  82.784108  ...  81.967162             81.832567
+    22  3072.0  81.648313  ...  85.662786             88.750943
+    23  3200.0  79.701121  ...  91.822093             91.298148
+    24  3328.0  80.798314  ...  84.101981             85.602017
+    25  3456.0  81.766291  ...  90.994998             90.994998
+    26  3584.0  84.825838  ...  87.124679             94.947616
+    27  3712.0  85.309435  ...  87.475786             88.640059
+    28  3840.0  84.744825  ...  91.968402             86.197974
+    29  3968.0  92.864488  ...  83.866153             90.859224
+    30  4096.0  86.202781  ...  86.844210             91.741443
 
     [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  24.601 seconds)
+   **Total running time of the script:** ( 5 minutes  14.452 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 b83c2a48c..7e03ed673 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   99.497980  311.088617
-    1    1536.0  351.085717  133.083026  338.201833
-    2    2048.0  423.724127  162.217818  327.679984
-    3    2560.0  461.954908  182.857144  325.079368
-    4    3072.0  511.999982  191.501303  319.168834
-    5    3584.0  554.941930  208.271186  309.410081
-    6    4096.0  568.231237  220.412561  299.707322
-    7    4608.0  498.162157  231.849059  286.507772
-    8    5120.0  525.128191  242.845844  283.787523
-    9    5632.0  538.517949  243.107920  291.310338
-    10   6144.0  544.118087  248.661056  285.214712
-    11   6656.0  527.207907  256.000009  286.793541
-    12   7168.0  507.469040  262.243907  288.160801
-    13   7680.0  482.513091  260.707203  273.471806
+    1    1536.0  351.085717  133.083026  341.333333
+    2    2048.0  423.724127  162.217818  336.657521
+    3    2560.0  461.954908  182.857144  330.322572
+    4    3072.0  515.580429  191.501303  320.556515
+    5    3584.0  554.941930  208.271186  308.301075
+    6    4096.0  568.231237  220.412561  297.890900
+    7    4608.0  498.162157  231.849059  287.251954
+    8    5120.0  525.128191  242.845844  284.444444
+    9    5632.0  538.517949  243.545956  291.310338
+    10   6144.0  544.118087  248.661056  286.322318
+    11   6656.0  527.207907  256.410903  286.279570
+    12   7168.0  507.469040  262.243907  288.644296
+    13   7680.0  482.513091  260.707203  277.172933
     14   8192.0  460.440290  269.326017  286.600589
     15   8704.0  416.958106  267.815384  284.987724
-    16   9216.0  428.651187  272.729961  289.507855
-    17   9728.0  438.857162  280.615388  289.308559
-    18  10240.0  447.650282  286.433562  288.112552
-    19  10752.0  429.364408  245.994291  290.267711
-    20  11264.0  429.104745  245.091565  286.069848
-    21  11776.0  421.826879  248.569911  288.686414
-    22  12288.0  420.102570  254.453844  295.207195
-    23  12800.0  415.696898  253.047766  288.450715
+    16   9216.0  428.651187  273.066667  289.507855
+    17   9728.0  438.857162  280.615388  288.950501
+    18  10240.0  447.650282  286.433562  290.153487
+    19  10752.0  430.079980  246.464170  290.267711
+    20  11264.0  429.786952  245.091565  285.767446
+    21  11776.0  421.198220  249.447482  288.686414
+    22  12288.0  420.102570  254.673582  294.911986
+    23  12800.0  415.135142  253.465340  290.084977
     24  13312.0  412.775186  252.759501  290.179836
-    25  13824.0  405.098897  256.991469  292.571423
-    26  14336.0  397.761846  254.673567  286.481278
-    27  14848.0  383.999990  257.293872  289.246765
-    28  15360.0  374.253788  257.610071  285.546077
-    29  15872.0  367.336555  262.708969  291.229369
+    25  13824.0  405.098897  257.190689  292.829653
+    26  14336.0  398.222222  254.673567  286.481278
+    27  14848.0  384.414233  257.293872  289.246765
+    28  15360.0  374.253788  257.790220  287.550706
+    29  15872.0  367.336555  262.708969  291.006885
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.501 seconds)
+   **Total running time of the script:** ( 2 minutes  11.836 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 3f805d53f..67d54eb5e 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
 =================
-**12:36.500** total execution time for **getting-started_tutorials** files:
+**12:17.359** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.601 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:14.452 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.011 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:18.646 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.501 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.836 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:38.377 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:32.414 | 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 4f9d42f24..5ee382f24 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -327,7 +327,7 @@ for different problem sizes.</p>
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  341.333321
+6      262144.0  384.000001  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  38.377 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  32.414 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 b44b31568..36c327096 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     6.756288
+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  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
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-94  12288.0  814.111783      415.661740   198.995960
-95  12416.0  812.498981      411.722274   198.655991
-96  12544.0  812.566838      412.546756   198.815254
-97  12672.0  812.633240      412.097543   198.971549
+93  12160.0  814.058574      406.603966   199.038365
+94  12288.0  814.111783      416.101597   199.298541
+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   199.167004
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.011 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  18.646 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 b6d510914..bd3a17363 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   2.730667  ...   3.276800              2.978909
+0    256.0   2.978909  ...   3.276800              3.276800
 1    384.0   7.372800  ...   8.507077              8.507077
 2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
-4    768.0  32.768000  ...  34.028308             34.028308
+4    768.0  32.768000  ...  35.389441             34.028308
 5    896.0  39.025776  ...  39.025776             39.025776
-6   1024.0  51.150050  ...  52.428801             52.428801
+6   1024.0  51.150050  ...  53.773130             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
-8   1280.0  51.200001  ...  56.888887             56.888887
-9   1408.0  64.138541  ...  67.305878             67.305878
-10  1536.0  80.430545  ...  79.526831             79.526831
-11  1664.0  63.372618  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  72.512412             72.047592
-13  1920.0  69.467336  ...  70.892307             70.530615
-14  2048.0  74.235468  ...  77.314362             76.959706
-15  2176.0  83.500614  ...  86.367588             85.632545
-16  2304.0  68.251065  ...  76.809875             76.563695
-17  2432.0  71.305746  ...  83.614477             84.877538
-18  2560.0  77.833728  ...  81.512437             81.108913
-19  2688.0  83.552988  ...  89.464755             89.888756
-20  2816.0  81.067298  ...  83.233226             82.602666
-21  2944.0  82.102191  ...  82.784108             82.921853
-22  3072.0  81.707223  ...  86.315709             88.197981
-23  3200.0  84.210524  ...  94.955488             95.451158
-24  3328.0  82.653612  ...  82.275764             84.695641
-25  3456.0  80.945348  ...  91.046379             91.097818
-26  3584.0  85.106854  ...  90.367227             96.475743
-27  3712.0  85.528545  ...  87.783251             87.475786
-28  3840.0  82.716526  ...  86.400002             91.701494
-29  3968.0  85.811488  ...  91.678389             83.690893
-30  4096.0  93.792965  ...  89.418872             87.324485
+8   1280.0  51.200001  ...  56.888887             56.109587
+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  ...  70.530615             70.172588
+14  2048.0  73.908442  ...  77.314362             76.959706
+15  2176.0  83.500614  ...  85.632545             85.269692
+16  2304.0  68.251065  ...  76.319081             76.809875
+17  2432.0  71.305746  ...  74.918570             83.366361
+18  2560.0  78.019048  ...  81.310171             81.108913
+19  2688.0  83.369354  ...  90.316801             89.464755
+20  2816.0  79.733474  ...  82.135981             83.392363
+21  2944.0  82.784108  ...  81.967162             81.832567
+22  3072.0  81.648313  ...  85.662786             88.750943
+23  3200.0  79.701121  ...  91.822093             91.298148
+24  3328.0  80.798314  ...  84.101981             85.602017
+25  3456.0  81.766291  ...  90.994998             90.994998
+26  3584.0  84.825838  ...  87.124679             94.947616
+27  3712.0  85.309435  ...  87.475786             88.640059
+28  3840.0  84.744825  ...  91.968402             86.197974
+29  3968.0  92.864488  ...  83.866153             90.859224
+30  4096.0  86.202781  ...  86.844210             91.741443
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  24.601 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  14.452 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.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">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
index 12b20c2ba..80bb98b3a 100644
--- a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
+++ b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
@@ -371,7 +371,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
 </dd>
 </dl>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.010 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.011 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.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">04-low-memory-dropout.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 8cf7ed7d3..987788c9e 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -195,35 +195,35 @@ to download the full example code</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
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 0    1024.0  311.088617   99.497980  311.088617
-1    1536.0  351.085717  133.083026  338.201833
-2    2048.0  423.724127  162.217818  327.679984
-3    2560.0  461.954908  182.857144  325.079368
-4    3072.0  511.999982  191.501303  319.168834
-5    3584.0  554.941930  208.271186  309.410081
-6    4096.0  568.231237  220.412561  299.707322
-7    4608.0  498.162157  231.849059  286.507772
-8    5120.0  525.128191  242.845844  283.787523
-9    5632.0  538.517949  243.107920  291.310338
-10   6144.0  544.118087  248.661056  285.214712
-11   6656.0  527.207907  256.000009  286.793541
-12   7168.0  507.469040  262.243907  288.160801
-13   7680.0  482.513091  260.707203  273.471806
+1    1536.0  351.085717  133.083026  341.333333
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