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Binary files a/master/_images/sphx_glr_01-vector-add_thumb.png and b/master/_images/sphx_glr_01-vector-add_thumb.png differ
diff --git a/master/_images/sphx_glr_02-fused-softmax_001.png b/master/_images/sphx_glr_02-fused-softmax_001.png
index a27bb4594..cfaf4ff23 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 bf9bbdb05..8a41f4754 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 1f5ca049c..41d731736 100644
Binary files a/master/_images/sphx_glr_03-matrix-multiplication_001.png and b/master/_images/sphx_glr_03-matrix-multiplication_001.png differ
diff --git a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png
index f2d774ce7..eb1daaf95 100644
Binary files a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png and b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png differ
diff --git a/master/_images/sphx_glr_05-layer-norm_001.png b/master/_images/sphx_glr_05-layer-norm_001.png
index 8d3009a04..ec97685c4 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 352b2cf57..1a806dcdf 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 ce48bb3bd..c5eca82bf 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -233,19 +233,19 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     vector-add-performance:
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
-    1        8192.0   15.999999   15.999999
+    1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   76.800002   76.800002
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  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  843.811163
+    13   33554432.0  842.004273  842.004273
     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  44.974 seconds)
+   **Total running time of the script:** ( 1 minutes  44.131 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 74daa423d..da9efca04 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -279,16 +279,16 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
     0     256.0  546.133347      546.133347   188.321838
-    1     384.0  614.400016      585.142862   153.600004
+    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   162.754967
+    4     768.0  722.823517      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.733401
-    94  12288.0  812.429770      415.661740   198.995960
-    95  12416.0  812.498981      412.149375   198.655991
-    96  12544.0  810.925276      412.546756   198.864492
-    97  12672.0  811.007961      412.097543   198.971549
+    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
 
     [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  30.087 seconds)
+   **Total running time of the script:** ( 3 minutes  32.289 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 b356e0923..a205d64f7 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   2.978909  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              7.899428
-    2    512.0  14.563555  ...  16.384000             15.420235
+    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
+    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
     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  ...  73.943582             59.625589
-    13  1920.0  69.467336  ...  71.626943             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  ...  71.257735             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.155572  ...  87.304326             85.998493
+    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             85.653855
-    18  2560.0  77.833728  ...  82.956960             81.715711
-    19  2688.0  83.369354  ...  90.102270             89.464755
-    20  2816.0  80.099554  ...  84.687779             83.873477
-    21  2944.0  82.237674  ...  83.337844             82.102191
-    22  3072.0  81.589488  ...  89.877939             88.335577
-    23  3200.0  84.210524  ...  95.808380             93.841640
-    24  3328.0  84.003845  ...  85.398926             84.895397
-    25  3456.0  81.766291  ...  92.033756             91.200871
-    26  3584.0  86.125852  ...  92.220917             94.647779
-    27  3712.0  85.309435  ...  89.035062             82.287760
-    28  3840.0  84.485870  ...  92.817458             88.686451
-    29  3968.0  92.372393  ...  85.033178             90.724116
-    30  4096.0  86.202781  ...  92.820009             88.563330
+    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
 
     [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  33.939 seconds)
+   **Total running time of the script:** ( 6 minutes  36.792 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 59fa0250d..2e4f353ac 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  468.114273
+    0    1024.0  585.142849  277.694907  481.882344
     1    1536.0  630.153868  323.368435  511.999982
-    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  496.484863
-    5    3584.0  725.873439  384.859062  448.000001
-    6    4096.0  728.177767  381.023256  455.111095
-    7    4608.0  670.254540  394.267384  426.173427
-    8    5120.0  688.403381  397.669909  422.268057
-    9    5632.0  704.000002  395.228063  415.262685
-    10   6144.0  697.191505  402.885254  409.600010
-    11   6656.0  705.271522  400.360920  400.360920
-    12   7168.0  690.891575  396.844306  387.459443
-    13   7680.0  678.895043  393.846167  386.415087
-    14   8192.0  636.271854  393.609605  371.308771
-    15   8704.0  627.315309  389.005597  380.502740
+    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
+    5    3584.0  725.873439  384.859062  455.111115
+    6    4096.0  736.359542  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
+    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
+    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  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  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  447.887117  406.974373  376.225175
+    17   9728.0  587.350922  409.599987  382.427505
+    18  10240.0  564.965524  409.600010  382.803739
+    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
+    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
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  35.450 seconds)
+   **Total running time of the script:** ( 5 minutes  38.038 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 ccacba688..d78c6a14f 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  0.075 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/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index 5cd3c300a..046cfc3b2 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,18 +5,18 @@
 
 Computation times
 =================
-**17:24.547** total execution time for **getting-started_tutorials** files:
+**17:31.345** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:33.939 | 0.0 MB |
+| :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_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:35.450 | 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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.087 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.974 | 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_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.075 | 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_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 8f2ec281e..6c78b50d9 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -325,24 +325,24 @@ for different problem sizes.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
-1        8192.0   15.999999   15.999999
+1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   76.800002   76.800002
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  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  843.811163
+13   33554432.0  842.004273  842.004273
 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  44.974 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  44.131 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 f62bc6775..4ed1f1e3b 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -372,16 +372,16 @@ 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  546.133347      546.133347   188.321838
-1     384.0  614.400016      585.142862   153.600004
+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   162.754967
+4     768.0  722.823517      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.733401
-94  12288.0  812.429770      415.661740   198.995960
-95  12416.0  812.498981      412.149375   198.655991
-96  12544.0  810.925276      412.546756   198.864492
-97  12672.0  811.007961      412.097543   198.971549
+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
 
 [98 rows x 4 columns]
 </pre></div>
@@ -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  30.087 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  32.289 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index 47e0771e8..edbcf8120 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
 <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  ...   2.978909              2.978909
-1    384.0   7.372800  ...   8.507077              7.899428
-2    512.0  14.563555  ...  16.384000             15.420235
+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
+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
 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  ...  73.943582             59.625589
-13  1920.0  69.467336  ...  71.626943             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  ...  71.257735             71.257735
 14  2048.0  73.908442  ...  78.398206             77.314362
-15  2176.0  83.155572  ...  87.304326             85.998493
+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             85.653855
-18  2560.0  77.833728  ...  82.956960             81.715711
-19  2688.0  83.369354  ...  90.102270             89.464755
-20  2816.0  80.099554  ...  84.687779             83.873477
-21  2944.0  82.237674  ...  83.337844             82.102191
-22  3072.0  81.589488  ...  89.877939             88.335577
-23  3200.0  84.210524  ...  95.808380             93.841640
-24  3328.0  84.003845  ...  85.398926             84.895397
-25  3456.0  81.766291  ...  92.033756             91.200871
-26  3584.0  86.125852  ...  92.220917             94.647779
-27  3712.0  85.309435  ...  89.035062             82.287760
-28  3840.0  84.485870  ...  92.817458             88.686451
-29  3968.0  92.372393  ...  85.033178             90.724116
-30  4096.0  86.202781  ...  92.820009             88.563330
+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
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes  33.939 seconds)</p>
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 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
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diff --git a/master/getting-started/tutorials/05-layer-norm.html b/master/getting-started/tutorials/05-layer-norm.html
index 7f00d2467..b922ac515 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
+++ b/master/getting-started/tutorials/05-layer-norm.html
@@ -196,36 +196,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm:
           N      Triton       Torch        Apex
-0    1024.0  585.142849  277.694907  468.114273
+0    1024.0  585.142849  277.694907  481.882344
 1    1536.0  630.153868  323.368435  511.999982
-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  496.484863
-5    3584.0  725.873439  384.859062  448.000001
-6    4096.0  728.177767  381.023256  455.111095
-7    4608.0  670.254540  394.267384  426.173427
-8    5120.0  688.403381  397.669909  422.268057
-9    5632.0  704.000002  395.228063  415.262685
-10   6144.0  697.191505  402.885254  409.600010
-11   6656.0  705.271522  400.360920  400.360920
-12   7168.0  690.891575  396.844306  387.459443
-13   7680.0  678.895043  393.846167  386.415087
-14   8192.0  636.271854  393.609605  371.308771
-15   8704.0  627.315309  389.005597  380.502740
+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
+5    3584.0  725.873439  384.859062  455.111115
+6    4096.0  736.359542  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
+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
+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  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  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  447.887117  406.974373  376.225175
+17   9728.0  587.350922  409.599987  382.427505
+18  10240.0  564.965524  409.600010  382.803739
+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
+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
 </pre></div>
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@@ -543,7 +543,7 @@ to download the full example code</p>
 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  35.450 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  38.038 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-05-layer-norm-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.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">05-layer-norm.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index dda14229f..0921e530d 100644
--- a/master/getting-started/tutorials/06-fused-attention.html
+++ b/master/getting-started/tutorials/06-fused-attention.html
@@ -548,7 +548,7 @@ to download the full example code</p>
 <span class="c1"># bench_flash_attention.run(save_path=&#39;.&#39;, print_data=True)</span>
 </pre></div>
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 <p><a class="reference download internal" download="" href="../../_downloads/54a35f6ec55f9746935b9566fb6bb1df/06-fused-attention.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">06-fused-attention.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/sg_execution_times.html b/master/getting-started/tutorials/sg_execution_times.html
index f8480712e..8f6f17705 100644
--- a/master/getting-started/tutorials/sg_execution_times.html
+++ b/master/getting-started/tutorials/sg_execution_times.html
@@ -174,7 +174,7 @@
             
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 <tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
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+<td><p>03:32.289</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="01-vector-add.html#sphx-glr-getting-started-tutorials-01-vector-add-py"><span class="std std-ref">Vector Addition</span></a> (<code class="docutils literal notranslate"><span class="pre">01-vector-add.py</span></code>)</p></td>
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+<td><p>01:44.131</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="06-fused-attention.html#sphx-glr-getting-started-tutorials-06-fused-attention-py"><span class="std std-ref">Fused Attention</span></a> (<code class="docutils literal notranslate"><span class="pre">06-fused-attention.py</span></code>)</p></td>
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index 030628249..0ea140a78 100644
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diff --git a/v1.1.2/_images/sphx_glr_05-layer-norm_001.png b/v1.1.2/_images/sphx_glr_05-layer-norm_001.png
index c35023937..58958cff4 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 35e149ae0..d77e67e3a 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 efba1d1d8..276c7c18e 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
@@ -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   76.800002   76.800002
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  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
     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  843.811163
+    13   33554432.0  842.004273  842.004273
     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  38.916 seconds)
+   **Total running time of the script:** ( 1 minutes  40.326 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 b9b3a8a53..b19e92692 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   188.321838
+    0     256.0  512.000001      546.133347   190.511628
     1     384.0  614.400016      585.142862   153.600004
-    2     512.0  655.360017      606.814814   154.566038
+    2     512.0  655.360017      585.142849   156.038096
     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      405.755985   198.936606
-    94  12288.0  814.111783      415.222812   199.197579
-    95  12416.0  812.498981      411.296057   198.954424
-    96  12544.0  812.566838      412.546756   199.012395
-    97  12672.0  812.633240      412.097543   199.264875
+    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
 
     [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  22.641 seconds)
+   **Total running time of the script:** ( 3 minutes  22.377 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 ef4edb5b7..e5ba72e59 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
@@ -470,29 +470,29 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     5    896.0  39.025776  ...  40.140799             39.025776
     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  ...  70.530615             70.530615
+    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  ...  70.172588             70.530615
     14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.500614  ...  85.998493             85.269692
+    15  2176.0  83.500614  ...  86.367588             85.269692
     16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  74.918570             84.115159
-    18  2560.0  78.019048  ...  81.108913             80.709358
-    19  2688.0  83.737433  ...  89.676257             90.102270
-    20  2816.0  81.369790  ...  82.290955             82.916747
-    21  2944.0  81.967162  ...  79.865439             82.509987
-    22  3072.0  82.661468  ...  87.651868             86.315709
-    23  3200.0  79.012346  ...  89.887639             95.380032
-    24  3328.0  83.323259  ...  84.895397             85.602017
-    25  3456.0  82.604067  ...  90.281712             90.994998
-    26  3584.0  83.954614  ...  92.600816             97.100854
-    27  3712.0  85.528545  ...  89.997611             87.322855
-    28  3840.0  80.313725  ...  86.130841             91.172297
-    29  3968.0  85.810547  ...  91.403695             83.692683
-    30  4096.0  93.531519  ...  83.416859             86.258181
+    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
 
     [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  23.225 seconds)
+   **Total running time of the script:** ( 5 minutes  19.704 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 3205d93c5..c1ac25fc3 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   99.096776  307.200008
-    1    1536.0  354.461542  133.083026  338.201833
-    2    2048.0  423.724127  162.217818  325.509933
-    3    2560.0  461.954908  182.857144  328.556154
-    4    3072.0  519.211251  190.511624  317.793096
-    5    3584.0  551.384634  208.271186  309.410081
-    6    4096.0  568.231237  220.412561  302.473845
-    7    4608.0  498.162157  231.364016  287.251954
-    8    5120.0  529.655159  242.366855  284.444444
-    9    5632.0  540.671974  242.671458  290.060087
-    10   6144.0  544.118087  250.349744  286.879370
-    11   6656.0  534.260858  254.775119  285.257135
-    12   7168.0  512.000004  252.988236  277.024148
-    13   7680.0  481.253256  262.564106  276.341823
-    14   8192.0  462.607053  265.686491  281.270376
-    15   8704.0  416.958106  264.425310  283.056921
-    16   9216.0  428.651187  271.724806  289.507855
-    17   9728.0  438.033784  281.291575  290.027323
-    18  10240.0  447.650282  285.104413  288.112552
-    19  10752.0  430.797982  245.994291  290.594591
-    20  11264.0  429.786952  243.545956  283.966395
-    21  11776.0  424.998497  248.569911  288.391833
-    22  12288.0  421.302872  252.709503  293.737063
-    23  12800.0  415.696898  254.094291  290.909089
-    24  13312.0  412.242569  252.959629  291.503659
-    25  13824.0  403.130022  257.590056  291.799461
-    26  14336.0  396.844280  251.325065  284.585606
-    27  14848.0  381.942121  257.479779  289.012175
-    28  15360.0  376.547496  260.155264  289.583654
-    29  15872.0  366.982663  263.071829  291.452168
+    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
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  10.519 seconds)
+   **Total running time of the script:** ( 2 minutes  11.098 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 ad83fd4a8..4c3d08c2e 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
 =================
-**12:35.312** total execution time for **getting-started_tutorials** files:
+**12:33.515** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.225 | 0.0 MB |
+| :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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.641 | 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_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:10.519 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:38.916 | 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_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 147226193..8ff7cc84b 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
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-3       32768.0   76.800002   76.800002
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  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
 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  843.811163
+13   33554432.0  842.004273  842.004273
 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  38.916 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.326 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 3e6444814..1bbdb62a0 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   188.321838
+0     256.0  512.000001      546.133347   190.511628
 1     384.0  614.400016      585.142862   153.600004
-2     512.0  655.360017      606.814814   154.566038
+2     512.0  655.360017      585.142849   156.038096
 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      405.755985   198.936606
-94  12288.0  814.111783      415.222812   199.197579
-95  12416.0  812.498981      411.296057   198.954424
-96  12544.0  812.566838      412.546756   199.012395
-97  12672.0  812.633240      412.097543   199.264875
+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
 
 [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  22.641 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.377 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 668ed726f..18d5d2768 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -576,34 +576,34 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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-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
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+11  1664.0  62.929456  ...  62.061463             62.061463
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 14  2048.0  73.908442  ...  77.314362             76.959706
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-21  2944.0  81.967162  ...  79.865439             82.509987
-22  3072.0  82.661468  ...  87.651868             86.315709
-23  3200.0  79.012346  ...  89.887639             95.380032
-24  3328.0  83.323259  ...  84.895397             85.602017
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-26  3584.0  83.954614  ...  92.600816             97.100854
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-28  3840.0  80.313725  ...  86.130841             91.172297
-29  3968.0  85.810547  ...  91.403695             83.692683
-30  4096.0  93.531519  ...  83.416859             86.258181
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 [31 rows x 5 columns]
 </pre></div>
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-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  23.225 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  19.704 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/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 7420a54f7..288d7dd07 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -194,36 +194,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
           N      Triton       Torch        Apex
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