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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 f5c8db163..52e60d5a7 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 189d565c5..7308f8334 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 2af54bbac..8fd17cf13 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 08d934c07..c72552dda 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 e37c49f6a..ededd5c4d 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 0797e18f7..c5f756cff 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 31e7ce85f..018ebaee6 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,17 +235,17 @@ 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  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
-    9     2097152.0  722.823517  722.823517
+    9     2097152.0  722.823517  702.171410
     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  46.290 seconds)
+   **Total running time of the script:** ( 1 minutes  46.276 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 87700d217..3329baa01 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  546.133347      546.133347   188.321838
-    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
+    0     256.0  546.133347      512.000001   190.511628
+    1     384.0  614.400016      585.142862   151.703707
+    2     512.0  655.360017      585.142849   153.121496
+    3     640.0  706.206879      640.000002   158.759699
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   199.038365
-    94  12288.0  812.429770      416.101597   199.298541
-    95  12416.0  812.498981      412.149375   198.854847
-    96  12544.0  810.925276      412.546756   199.209928
-    97  12672.0  811.007961      412.097543   199.264875
+    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   198.963085
+    97  12672.0  811.007961      412.516771   199.069228
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  32.806 seconds)
+   **Total running time of the script:** ( 3 minutes  30.609 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 e187ff92e..9f2d69da6 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              8.507077
-    2    512.0  14.563555  ...  15.420235             16.384000
+    0    256.0   2.730667  ...   2.978909              3.276800
+    1    384.0   7.372800  ...   8.507077              7.899428
+    2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  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             48.161033
+    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             62.929456
-    12  1792.0  72.983276  ...  73.460287             59.467852
-    13  1920.0  69.120002  ...  71.257735             71.257735
-    14  2048.0  73.908442  ...  78.033565             77.314362
-    15  2176.0  83.500614  ...  87.876193             85.998493
-    16  2304.0  68.251065  ...  78.064941             77.057651
-    17  2432.0  71.305746  ...  86.179335             75.320281
-    18  2560.0  78.019048  ...  82.331658             81.310171
-    19  2688.0  83.369354  ...  90.316801             89.464755
-    20  2816.0  80.026067  ...  84.687779             83.712490
-    21  2944.0  81.967162  ...  82.784108             82.102191
-    22  3072.0  82.661468  ...  89.735509             88.612060
-    23  3200.0  84.768213  ...  88.888888             95.952022
-    24  3328.0  82.748617  ...  85.602017             83.954863
-    25  3456.0  82.773682  ...  88.304015             91.200871
-    26  3584.0  87.296493  ...  98.916823             97.100854
-    27  3712.0  83.247783  ...  88.404730             87.552452
-    28  3840.0  83.465663  ...  92.661918             84.582788
-    29  3968.0  89.789505  ...  88.744681             87.159957
-    30  4096.0  93.760204  ...  89.837839             89.359338
+    10  1536.0  80.430545  ...  80.430545             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
+    14  2048.0  73.908442  ...  78.398206             77.314362
+    15  2176.0  83.500614  ...  87.876193             86.367588
+    16  2304.0  68.251065  ...  77.810656             77.307030
+    17  2432.0  71.305746  ...  84.367759             75.320281
+    18  2560.0  78.019048  ...  82.539044             81.310171
+    19  2688.0  83.552988  ...  90.316801             89.254248
+    20  2816.0  79.154642  ...  83.873477             83.712490
+    21  2944.0  82.784108  ...  83.617504             83.337844
+    22  3072.0  81.707223  ...  86.978653             88.750943
+    23  3200.0  82.262212  ...  92.086332             87.611228
+    24  3328.0  81.622783  ...  83.808259             82.181847
+    25  3456.0  81.849303  ...  88.207407             90.281712
+    26  3584.0  86.874778  ...  98.483450             98.483450
+    27  3712.0  81.615477  ...  89.114488             87.629253
+    28  3840.0  81.919998  ...  88.121115             90.389865
+    29  3968.0  86.973584  ...  91.954739             86.053553
+    30  4096.0  93.401342  ...  83.106955             88.709668
 
     [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  37.769 seconds)
+   **Total running time of the script:** ( 6 minutes  37.352 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index d1778b13a..1644ef41a 100644
--- a/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -240,7 +240,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.012 seconds)
+   **Total running time of the script:** ( 0 minutes  0.014 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 8841b12d6..53d85f1fc 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  585.142849  277.694907  468.114273
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  668.734716  334.367358  520.126988
-    3    2560.0  694.237267  365.714281  518.481028
-    4    3072.0  712.347810  378.092307  496.484863
-    5    3584.0  725.873439  384.859062  451.527536
-    6    4096.0  728.177767  381.023256  455.111095
-    7    4608.0  670.254540  394.267384  421.302872
-    8    5120.0  688.403381  397.669909  424.455959
-    9    5632.0  704.000002  395.228063  411.470331
-    10   6144.0  697.191505  402.885254  409.600010
-    11   6656.0  700.631610  398.861429  400.360920
-    12   7168.0  690.891575  396.844306  387.459443
-    13   7680.0  678.895043  393.846167  386.415087
-    14   8192.0  639.375598  393.609605  372.363633
-    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
+    2    2048.0  668.734716  337.814445  520.126988
+    3    2560.0  694.237267  362.477870  512.000013
+    4    3072.0  712.347810  376.643666  501.551037
+    5    3584.0  725.873439  384.859062  455.111115
+    6    4096.0  728.177767  381.023256  451.972420
+    7    4608.0  670.254540  396.387087  428.651163
+    8    5120.0  688.403381  395.748783  422.268057
+    9    5632.0  704.000002  396.969169  415.262685
+    10   6144.0  707.223041  402.885254  409.600010
+    11   6656.0  700.631610  400.360920  400.360920
+    12   7168.0  682.666672  386.154893  384.859062
+    13   7680.0  678.895043  388.860771  387.634072
+    14   8192.0  648.871301  390.095241  375.564460
+    15   8704.0  624.502255  387.922008  380.502740
+    16   9216.0  606.814809  406.214877  382.010363
+    17   9728.0  587.350922  408.524944  382.427505
+    18  10240.0  566.920437  409.600010  382.803739
+    19  10752.0  547.872604  410.577576  380.601764
+    20  11264.0  533.207081  399.609756  370.069806
     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  411.122660  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  446.312810  406.974373  376.783377
+    22  12288.0  516.031509  413.911572  383.251457
+    23  12800.0  504.433489  409.599981  376.470582
+    24  13312.0  494.180982  403.393936  376.976995
+    25  13824.0  482.934503  411.888257  379.389355
+    26  14336.0  471.967074  401.709294  374.797384
+    27  14848.0  461.297068  407.492270  374.712936
+    28  15360.0  454.269882  406.887417  378.092307
+    29  15872.0  447.098578  406.323209  376.225175
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  39.762 seconds)
+   **Total running time of the script:** ( 5 minutes  37.670 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
diff --git a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
index 4fef02825..b1397b3d3 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.072 seconds)
+   **Total running time of the script:** ( 0 minutes  0.073 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index 88ed3abb2..b70826bff 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**17:36.721** total execution time for **getting-started_tutorials** files:
+**17:32.005** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:37.769 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:37.352 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:39.762 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:37.670 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.806 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.609 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.290 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.276 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.073 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.014 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 75c4a7479..0d38c72f4 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -327,22 +327,22 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   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
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
-9     2097152.0  722.823517  722.823517
+9     2097152.0  722.823517  702.171410
 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  46.290 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.276 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 6a6923b9d..bc4d67a88 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,17 +371,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  546.133347      546.133347   188.321838
-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
+0     256.0  546.133347      512.000001   190.511628
+1     384.0  614.400016      585.142862   151.703707
+2     512.0  655.360017      585.142849   153.121496
+3     640.0  706.206879      640.000002   158.759699
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   199.038365
-94  12288.0  812.429770      416.101597   199.298541
-95  12416.0  812.498981      412.149375   198.854847
-96  12544.0  810.925276      412.546756   199.209928
-97  12672.0  811.007961      412.097543   199.264875
+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
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+97  12672.0  811.007961      412.516771   199.069228
 
 [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>
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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 6db01b4a0..efb98c579 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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 <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              8.507077
-2    512.0  14.563555  ...  15.420235             16.384000
+0    256.0   2.730667  ...   2.978909              3.276800
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+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             48.161033
+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             62.929456
-12  1792.0  72.983276  ...  73.460287             59.467852
-13  1920.0  69.120002  ...  71.257735             71.257735
-14  2048.0  73.908442  ...  78.033565             77.314362
-15  2176.0  83.500614  ...  87.876193             85.998493
-16  2304.0  68.251065  ...  78.064941             77.057651
-17  2432.0  71.305746  ...  86.179335             75.320281
-18  2560.0  78.019048  ...  82.331658             81.310171
-19  2688.0  83.369354  ...  90.316801             89.464755
-20  2816.0  80.026067  ...  84.687779             83.712490
-21  2944.0  81.967162  ...  82.784108             82.102191
-22  3072.0  82.661468  ...  89.735509             88.612060
-23  3200.0  84.768213  ...  88.888888             95.952022
-24  3328.0  82.748617  ...  85.602017             83.954863
-25  3456.0  82.773682  ...  88.304015             91.200871
-26  3584.0  87.296493  ...  98.916823             97.100854
-27  3712.0  83.247783  ...  88.404730             87.552452
-28  3840.0  83.465663  ...  92.661918             84.582788
-29  3968.0  89.789505  ...  88.744681             87.159957
-30  4096.0  93.760204  ...  89.837839             89.359338
+10  1536.0  80.430545  ...  80.430545             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
+14  2048.0  73.908442  ...  78.398206             77.314362
+15  2176.0  83.500614  ...  87.876193             86.367588
+16  2304.0  68.251065  ...  77.810656             77.307030
+17  2432.0  71.305746  ...  84.367759             75.320281
+18  2560.0  78.019048  ...  82.539044             81.310171
+19  2688.0  83.552988  ...  90.316801             89.254248
+20  2816.0  79.154642  ...  83.873477             83.712490
+21  2944.0  82.784108  ...  83.617504             83.337844
+22  3072.0  81.707223  ...  86.978653             88.750943
+23  3200.0  82.262212  ...  92.086332             87.611228
+24  3328.0  81.622783  ...  83.808259             82.181847
+25  3456.0  81.849303  ...  88.207407             90.281712
+26  3584.0  86.874778  ...  98.483450             98.483450
+27  3712.0  81.615477  ...  89.114488             87.629253
+28  3840.0  81.919998  ...  88.121115             90.389865
+29  3968.0  86.973584  ...  91.954739             86.053553
+30  4096.0  93.401342  ...  83.106955             88.709668
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes  37.769 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">
 <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/master/getting-started/tutorials/04-low-memory-dropout.html b/master/getting-started/tutorials/04-low-memory-dropout.html
index ff3f3aec8..f50242a92 100644
--- a/master/getting-started/tutorials/04-low-memory-dropout.html
+++ b/master/getting-started/tutorials/04-low-memory-dropout.html
@@ -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/05-layer-norm.html b/master/getting-started/tutorials/05-layer-norm.html
index 745e7f70f..361c38335 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
+++ b/master/getting-started/tutorials/05-layer-norm.html
@@ -198,34 +198,34 @@ to download the full example code</p>
           N      Triton       Torch        Apex
 0    1024.0  585.142849  277.694907  468.114273
 1    1536.0  630.153868  323.368435  511.999982
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-4    3072.0  712.347810  378.092307  496.484863
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-9    5632.0  704.000002  395.228063  411.470331
-10   6144.0  697.191505  402.885254  409.600010
-11   6656.0  700.631610  398.861429  400.360920
-12   7168.0  690.891575  396.844306  387.459443
-13   7680.0  678.895043  393.846167  386.415087
-14   8192.0  639.375598  393.609605  372.363633
-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
+2    2048.0  668.734716  337.814445  520.126988
+3    2560.0  694.237267  362.477870  512.000013
+4    3072.0  712.347810  376.643666  501.551037
+5    3584.0  725.873439  384.859062  455.111115
+6    4096.0  728.177767  381.023256  451.972420
+7    4608.0  670.254540  396.387087  428.651163
+8    5120.0  688.403381  395.748783  422.268057
+9    5632.0  704.000002  396.969169  415.262685
+10   6144.0  707.223041  402.885254  409.600010
+11   6656.0  700.631610  400.360920  400.360920
+12   7168.0  682.666672  386.154893  384.859062
+13   7680.0  678.895043  388.860771  387.634072
+14   8192.0  648.871301  390.095241  375.564460
+15   8704.0  624.502255  387.922008  380.502740
+16   9216.0  606.814809  406.214877  382.010363
+17   9728.0  587.350922  408.524944  382.427505
+18  10240.0  566.920437  409.600010  382.803739
+19  10752.0  547.872604  410.577576  380.601764
+20  11264.0  533.207081  399.609756  370.069806
 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  411.122660  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  446.312810  406.974373  376.783377
+22  12288.0  516.031509  413.911572  383.251457
+23  12800.0  504.433489  409.599981  376.470582
+24  13312.0  494.180982  403.393936  376.976995
+25  13824.0  482.934503  411.888257  379.389355
+26  14336.0  471.967074  401.709294  374.797384
+27  14848.0  461.297068  407.492270  374.712936
+28  15360.0  454.269882  406.887417  378.092307
+29  15872.0  447.098578  406.323209  376.225175
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 <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>
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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 118324994..b3b671026 100644
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@@ -543,7 +543,7 @@ to download the full example code</p>
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index 62f82e326..3bfd9ca08 100644
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index ac86c634f..ea0b61981 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 7c0066910..79804fd3b 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 5983e2640..a9ef0d50f 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
@@ -234,7 +234,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   76.800002   76.800002
+    3       32768.0   63.999998   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  341.333321  384.000001
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  42.563 seconds)
+   **Total running time of the script:** ( 1 minutes  41.931 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 f55dff8e6..e7e212d6d 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      585.142849   154.566038
+    2     512.0  655.360017      606.814814   154.566038
     3     640.0  682.666684      640.000002   160.000000
-    4     768.0  722.823517      664.216187   163.839992
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.603966   199.038365
-    94  12288.0  814.111783      416.101597   199.298541
-    95  12416.0  814.163950      413.006241   198.854847
-    96  12544.0  812.566838      412.971190   199.111113
-    97  12672.0  812.633240      412.516771   199.167004
+    93  12160.0  812.359066      406.179533   198.936606
+    94  12288.0  814.111783      415.661740   199.197579
+    95  12416.0  812.498981      412.149375   198.655991
+    96  12544.0  812.566838      412.546756   199.111113
+    97  12672.0  812.633240      412.097543   199.069228
 
     [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  22.469 seconds)
+   **Total running time of the script:** ( 3 minutes  21.826 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 c76561aab..316d87332 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  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              7.899428
+    0    256.0   2.978909  ...   2.978909              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  ...  34.028308             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  ...  46.656000             46.656000
-    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  ...  71.588687             71.588687
-    13  1920.0  68.776119  ...  70.172588             70.530615
-    14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.155572  ...  86.367588             85.269692
+    5    896.0  39.025776  ...  39.025776             39.025776
+    6   1024.0  51.150050  ...  52.428801             52.428801
+    7   1152.0  45.242181  ...  47.396572             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  ...  62.061463             62.061463
+    12  1792.0  72.512412  ...  72.047592             71.588687
+    13  1920.0  69.120002  ...  70.172588             70.172588
+    14  2048.0  73.908442  ...  76.959706             76.959706
+    15  2176.0  83.500614  ...  85.998493             85.269692
     16  2304.0  68.446623  ...  76.809875             76.563695
     17  2432.0  71.305746  ...  74.918570             84.877538
-    18  2560.0  77.833728  ...  81.310171             81.108913
-    19  2688.0  83.552988  ...  90.102270             88.732296
-    20  2816.0  82.602666  ...  83.712490             82.759409
-    21  2944.0  81.967162  ...  82.578347             82.646820
-    22  3072.0  82.062468  ...  87.651868             86.579673
-    23  3200.0  84.544253  ...  89.887639             94.674553
-    24  3328.0  83.226931  ...  81.346098             83.710812
-    25  3456.0  82.688790  ...  90.180725             91.097818
-    26  3584.0  85.430303  ...  92.505546             97.522120
-    27  3712.0  85.528545  ...  85.672957             87.552452
-    28  3840.0  84.292684  ...  87.148936             91.022218
-    29  3968.0  86.973584  ...  90.656713             84.856701
-    30  4096.0  93.531519  ...  83.416859             87.267706
+    18  2560.0  77.833728  ...  81.310171             80.313727
+    19  2688.0  83.922689  ...  89.676257             88.422041
+    20  2816.0  80.617762  ...  83.392363             83.233226
+    21  2944.0  82.373605  ...  82.373605             81.298583
+    22  3072.0  82.540970  ...  88.335577             88.060814
+    23  3200.0  83.769634  ...  95.096582             94.674553
+    24  3328.0  84.003845  ...  83.516586             84.003845
+    25  3456.0  82.015834  ...  89.183149             84.597660
+    26  3584.0  86.043434  ...  97.416461             96.579370
+    27  3712.0  81.548851  ...  88.797643             84.946722
+    28  3840.0  83.908951  ...  91.097196             85.930069
+    29  3968.0  91.301109  ...  86.175099             89.068569
+    30  4096.0  88.534120  ...  93.206754             89.240508
 
     [31 rows x 5 columns]
 
@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  27.557 seconds)
+   **Total running time of the script:** ( 5 minutes  21.527 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 cccbc609c..8513c1fa7 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   99.497980  307.200008
-    1    1536.0  351.085717  135.032961  344.523365
-    2    2048.0  427.408686  159.584422  323.368435
-    3    2560.0  461.954908  182.857144  326.808501
-    4    3072.0  515.580429  192.501302  316.429186
-    5    3584.0  554.941930  208.271186  308.301075
-    6    4096.0  568.231237  219.919464  297.890900
-    7    4608.0  500.416301  233.316456  291.031570
-    8    5120.0  527.381977  240.941184  285.104413
-    9    5632.0  538.517949  243.985547  289.438969
-    10   6144.0  546.133354  249.081070  286.322318
-    11   6656.0  525.473708  256.000009  285.767438
-    12   7168.0  512.000004  259.475119  284.821192
-    13   7680.0  485.052616  263.690977  277.172933
-    14   8192.0  463.698115  266.406514  284.939124
-    15   8704.0  417.791980  267.472468  285.767450
-    16   9216.0  431.157889  272.059034  289.507855
-    17   9728.0  439.683593  280.278512  290.027323
-    18  10240.0  446.836366  287.102804  290.496460
-    19  10752.0  430.797982  246.229020  290.594591
-    20  11264.0  429.786952  246.882202  288.204696
-    21  11776.0  422.457417  248.788725  287.804473
-    22  12288.0  420.701865  254.453844  294.029924
-    23  12800.0  416.260178  253.256381  287.910035
-    24  13312.0  411.711355  252.161013  289.916513
-    25  13824.0  406.588243  256.991469  292.313649
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-    28  15360.0  376.547496  258.332158  286.656296
-    29  15872.0  366.982663  262.527914  290.562936
+    0    1024.0  311.088617   98.303995  303.407414
+    1    1536.0  351.085717  134.540150  338.201833
+    2    2048.0  423.724127  161.154101  323.368435
+    3    2560.0  465.454542  180.705883  326.808501
+    4    3072.0  515.580429  191.999993  320.556515
+    5    3584.0  554.941930  208.271186  311.652167
+    6    4096.0  568.231237  220.412561  298.796351
+    7    4608.0  500.416301  232.825259  286.507772
+    8    5120.0  527.381977  241.889751  283.133649
+    9    5632.0  540.671974  243.107920  290.683877
+    10   6144.0  544.118087  248.661056  286.322318
+    11   6656.0  532.479975  256.000009  286.279570
+    12   7168.0  507.469040  259.867079  285.767449
+    13   7680.0  481.253256  262.564106  276.341823
+    14   8192.0  463.698115  264.970349  284.115618
+    15   8704.0  416.958106  267.815384  284.987724
+    16   9216.0  430.319054  270.727053  287.251954
+    17   9728.0  438.857162  280.278512  289.667485
+    18  10240.0  447.650282  286.100109  288.112552
+    19  10752.0  432.241202  246.229020  289.941565
+    20  11264.0  429.786952  245.760001  286.980888
+    21  11776.0  423.089806  248.788725  288.391833
+    22  12288.0  419.504980  254.453844  294.764603
+    23  12800.0  414.016170  253.047766  288.450715
+    24  13312.0  411.711355  252.161013  290.443638
+    25  13824.0  406.090579  256.792581  292.056329
+    26  14336.0  394.116833  254.485198  287.198654
+    27  14848.0  384.414233  257.665934  290.188916
+    28  15360.0  375.015246  257.790220  285.104419
+    29  15872.0  366.629453  261.986243  290.784741
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.866 seconds)
+   **Total running time of the script:** ( 2 minutes  11.478 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 059107f1a..bf5312e97 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
 =================
-**12:44.465** total execution time for **getting-started_tutorials** files:
+**12:36.772** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:27.557 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:21.527 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.469 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.826 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.866 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.478 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.563 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.931 | 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 82c1c39f6..2b54116bc 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,7 +324,7 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   76.800002   76.800002
+3       32768.0   63.999998   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  341.333321  384.000001
@@ -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  42.563 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.931 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 d0ee98945..a172492af 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      585.142849   154.566038
+2     512.0  655.360017      606.814814   154.566038
 3     640.0  682.666684      640.000002   160.000000
-4     768.0  722.823517      664.216187   163.839992
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.603966   199.038365
-94  12288.0  814.111783      416.101597   199.298541
-95  12416.0  814.163950      413.006241   198.854847
-96  12544.0  812.566838      412.971190   199.111113
-97  12672.0  812.633240      412.516771   199.167004
+93  12160.0  812.359066      406.179533   198.936606
+94  12288.0  814.111783      415.661740   199.197579
+95  12416.0  812.498981      412.149375   198.655991
+96  12544.0  812.566838      412.546756   199.111113
+97  12672.0  812.633240      412.097543   199.069228
 
 [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  22.469 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.826 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 88728bf24..19ce8af31 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  ...   2.978909              2.978909
-1    384.0   7.372800  ...   8.507077              7.899428
+0    256.0   2.978909  ...   2.978909              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
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-5    896.0  39.025776  ...  40.140799             39.025776
-6   1024.0  49.932191  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  46.656000             46.656000
-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  ...  71.588687             71.588687
-13  1920.0  68.776119  ...  70.172588             70.530615
-14  2048.0  73.908442  ...  77.314362             76.959706
-15  2176.0  83.155572  ...  86.367588             85.269692
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+7   1152.0  45.242181  ...  47.396572             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  ...  62.061463             62.061463
+12  1792.0  72.512412  ...  72.047592             71.588687
+13  1920.0  69.120002  ...  70.172588             70.172588
+14  2048.0  73.908442  ...  76.959706             76.959706
+15  2176.0  83.500614  ...  85.998493             85.269692
 16  2304.0  68.446623  ...  76.809875             76.563695
 17  2432.0  71.305746  ...  74.918570             84.877538
-18  2560.0  77.833728  ...  81.310171             81.108913
-19  2688.0  83.552988  ...  90.102270             88.732296
-20  2816.0  82.602666  ...  83.712490             82.759409
-21  2944.0  81.967162  ...  82.578347             82.646820
-22  3072.0  82.062468  ...  87.651868             86.579673
-23  3200.0  84.544253  ...  89.887639             94.674553
-24  3328.0  83.226931  ...  81.346098             83.710812
-25  3456.0  82.688790  ...  90.180725             91.097818
-26  3584.0  85.430303  ...  92.505546             97.522120
-27  3712.0  85.528545  ...  85.672957             87.552452
-28  3840.0  84.292684  ...  87.148936             91.022218
-29  3968.0  86.973584  ...  90.656713             84.856701
-30  4096.0  93.531519  ...  83.416859             87.267706
+18  2560.0  77.833728  ...  81.310171             80.313727
+19  2688.0  83.922689  ...  89.676257             88.422041
+20  2816.0  80.617762  ...  83.392363             83.233226
+21  2944.0  82.373605  ...  82.373605             81.298583
+22  3072.0  82.540970  ...  88.335577             88.060814
+23  3200.0  83.769634  ...  95.096582             94.674553
+24  3328.0  84.003845  ...  83.516586             84.003845
+25  3456.0  82.015834  ...  89.183149             84.597660
+26  3584.0  86.043434  ...  97.416461             96.579370
+27  3712.0  81.548851  ...  88.797643             84.946722
+28  3840.0  83.908951  ...  91.097196             85.930069
+29  3968.0  91.301109  ...  86.175099             89.068569
+30  4096.0  88.534120  ...  93.206754             89.240508
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  27.557 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  21.527 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 af79ca7b0..78b785649 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
-0    1024.0  311.088617   99.497980  307.200008
-1    1536.0  351.085717  135.032961  344.523365
-2    2048.0  427.408686  159.584422  323.368435
-3    2560.0  461.954908  182.857144  326.808501
-4    3072.0  515.580429  192.501302  316.429186
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-6    4096.0  568.231237  219.919464  297.890900
-7    4608.0  500.416301  233.316456  291.031570
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