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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 52e60d5a7..e24386cc4 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 7308f8334..e41b71c7c 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 8fd17cf13..5945406a0 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 c72552dda..2f15385fd 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 ededd5c4d..d59837a37 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 c5f756cff..05255746a 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 018ebaee6..49004d98d 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   63.999998   63.999998
+    3       32768.0   63.999998   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  384.000001
+    6      262144.0  341.333321  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
-    9     2097152.0  722.823517  702.171410
+    9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  842.004273
+    13   33554432.0  842.004273  843.811163
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  46.276 seconds)
+   **Total running time of the script:** ( 1 minutes  49.928 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 3329baa01..020cf3a05 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      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
+    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
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.936606
+    93  12160.0  812.359066      406.179533   198.834951
     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
+    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  30.609 seconds)
+   **Total running time of the script:** ( 3 minutes  30.792 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 9f2d69da6..bb773de44 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   2.978909              3.276800
-    1    384.0   7.372800  ...   8.507077              7.899428
+    0    256.0   2.978909  ...   2.978909              3.276800
+    1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  35.389441             34.028308
-    5    896.0  37.971025  ...  40.140799             39.025776
+    5    896.0  39.025776  ...  40.140799             39.025776
     6   1024.0  49.932191  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  48.161033             47.396572
+    7   1152.0  45.242181  ...  48.161033             48.161033
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  69.009825             68.147202
-    10  1536.0  80.430545  ...  80.430545             79.526831
+    9   1408.0  64.138541  ...  69.009825             67.305878
+    10  1536.0  80.430545  ...  81.355034             79.526831
     11  1664.0  62.929456  ...  63.372618             62.492442
     12  1792.0  72.512412  ...  73.460287             59.467852
-    13  1920.0  69.120002  ...  71.626943             71.257735
+    13  1920.0  68.776119  ...  71.257735             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
+    16  2304.0  68.446623  ...  77.810656             77.307030
+    17  2432.0  71.305746  ...  86.711310             85.653855
+    18  2560.0  77.833728  ...  82.956960             81.108913
+    19  2688.0  83.369354  ...  90.316801             90.102270
+    20  2816.0  79.587973  ...  84.687779             83.153880
+    21  2944.0  81.967162  ...  83.617504             81.967162
+    22  3072.0  81.707223  ...  90.020831             88.060814
+    23  3200.0  83.879425  ...  95.238096             87.673110
+    24  3328.0  83.226931  ...  82.748617             84.895397
+    25  3456.0  81.353753  ...  88.207407             91.200871
+    26  3584.0  87.296493  ...  99.354022             97.628001
+    27  3712.0  82.421427  ...  89.353616             83.247783
+    28  3840.0  83.339866  ...  91.398346             86.840987
+    29  3968.0  86.849777  ...  92.302520             84.066569
+    30  4096.0  93.077479  ...  83.055527             82.340585
 
     [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  37.352 seconds)
+   **Total running time of the script:** ( 7 minutes  16.663 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 1644ef41a..edbf188ee 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  0.014 seconds)
+   **Total running time of the script:** ( 0 minutes  0.279 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 53d85f1fc..cf401b478 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  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
+    2    2048.0  668.734716  334.367358  528.516136
+    3    2560.0  694.237267  365.714281  518.481028
+    4    3072.0  712.347810  378.092307  501.551037
+    5    3584.0  725.873439  384.859062  458.751978
+    6    4096.0  728.177767  381.023256  458.293714
+    7    4608.0  670.254540  396.387087  426.173427
+    8    5120.0  688.403381  397.669909  426.666652
+    9    5632.0  698.542675  395.228063  413.357796
+    10   6144.0  702.171410  402.885254  411.313806
+    11   6656.0  700.631610  400.360920  398.861429
+    12   7168.0  690.891575  396.844306  387.459443
+    13   7680.0  678.895043  392.587863  387.634072
+    14   8192.0  639.375598  393.609605  373.424507
+    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  382.427505
+    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  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
+    22  12288.0  514.680630  413.911572  383.251457
+    23  12800.0  504.433489  410.420828  376.470582
+    24  13312.0  494.180982  405.699062  376.310952
+    25  13824.0  481.882350  411.888257  379.389355
+    26  14336.0  470.997935  406.695045  374.185964
+    27  14848.0  460.403127  408.192434  374.712936
+    28  15360.0  454.269882  406.214870  378.092307
+    29  15872.0  447.887117  406.974373  376.225175
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  37.670 seconds)
+   **Total running time of the script:** ( 5 minutes  37.042 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 b1397b3d3..8ea794afc 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  0.073 seconds)
+   **Total running time of the script:** ( 0 minutes  0.078 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
index 297ebf116..7db38fb6e 100644
--- a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
+++ b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.010 seconds)
+   **Total running time of the script:** ( 0 minutes  0.254 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.py:
diff --git a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index b70826bff..445f72e13 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
 =================
-**17:32.005** total execution time for **getting-started_tutorials** files:
+**18:15.037** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :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_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:16.663 | 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_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:37.042 | 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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.792 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:49.928 | 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``)       | 00:00.279 | 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``)       | 00:00.254 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.078 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 0d38c72f4..d11c7dfd4 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   63.999998   63.999998
+3       32768.0   63.999998   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  384.000001
+6      262144.0  341.333321  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
-9     2097152.0  722.823517  702.171410
+9     2097152.0  722.823517  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  842.004273
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  49.928 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 bc4d67a88..c6792130d 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      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
+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
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.936606
+93  12160.0  812.359066      406.179533   198.834951
 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
+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>
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 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
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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 efb98c579..9b9196c4c 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   2.730667  ...   2.978909              3.276800
-1    384.0   7.372800  ...   8.507077              7.899428
+0    256.0   2.978909  ...   2.978909              3.276800
+1    384.0   7.372800  ...   8.507077              8.507077
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 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  35.389441             34.028308
-5    896.0  37.971025  ...  40.140799             39.025776
+5    896.0  39.025776  ...  40.140799             39.025776
 6   1024.0  49.932191  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  48.161033             47.396572
+7   1152.0  45.242181  ...  48.161033             48.161033
 8   1280.0  51.200001  ...  57.690139             57.690139
-9   1408.0  64.138541  ...  69.009825             68.147202
-10  1536.0  80.430545  ...  80.430545             79.526831
+9   1408.0  64.138541  ...  69.009825             67.305878
+10  1536.0  80.430545  ...  81.355034             79.526831
 11  1664.0  62.929456  ...  63.372618             62.492442
 12  1792.0  72.512412  ...  73.460287             59.467852
-13  1920.0  69.120002  ...  71.626943             71.257735
+13  1920.0  68.776119  ...  71.257735             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
+16  2304.0  68.446623  ...  77.810656             77.307030
+17  2432.0  71.305746  ...  86.711310             85.653855
+18  2560.0  77.833728  ...  82.956960             81.108913
+19  2688.0  83.369354  ...  90.316801             90.102270
+20  2816.0  79.587973  ...  84.687779             83.153880
+21  2944.0  81.967162  ...  83.617504             81.967162
+22  3072.0  81.707223  ...  90.020831             88.060814
+23  3200.0  83.879425  ...  95.238096             87.673110
+24  3328.0  83.226931  ...  82.748617             84.895397
+25  3456.0  81.353753  ...  88.207407             91.200871
+26  3584.0  87.296493  ...  99.354022             97.628001
+27  3712.0  82.421427  ...  89.353616             83.247783
+28  3840.0  83.339866  ...  91.398346             86.840987
+29  3968.0  86.849777  ...  92.302520             84.066569
+30  4096.0  93.077479  ...  83.055527             82.340585
 
 [31 rows x 5 columns]
 </pre></div>
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-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes  37.352 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/04-low-memory-dropout.html b/master/getting-started/tutorials/04-low-memory-dropout.html
index f50242a92..4d3b4cd90 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>
 </dd>
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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 361c38335..b304b83f8 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  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
+2    2048.0  668.734716  334.367358  528.516136
+3    2560.0  694.237267  365.714281  518.481028
+4    3072.0  712.347810  378.092307  501.551037
+5    3584.0  725.873439  384.859062  458.751978
+6    4096.0  728.177767  381.023256  458.293714
+7    4608.0  670.254540  396.387087  426.173427
+8    5120.0  688.403381  397.669909  426.666652
+9    5632.0  698.542675  395.228063  413.357796
+10   6144.0  702.171410  402.885254  411.313806
+11   6656.0  700.631610  400.360920  398.861429
+12   7168.0  690.891575  396.844306  387.459443
+13   7680.0  678.895043  392.587863  387.634072
+14   8192.0  639.375598  393.609605  373.424507
+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  382.427505
+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  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
+22  12288.0  514.680630  413.911572  383.251457
+23  12800.0  504.433489  410.420828  376.470582
+24  13312.0  494.180982  405.699062  376.310952
+25  13824.0  481.882350  411.888257  379.389355
+26  14336.0  470.997935  406.695045  374.185964
+27  14848.0  460.403127  408.192434  374.712936
+28  15360.0  454.269882  406.214870  378.092307
+29  15872.0  447.887117  406.974373  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 b3b671026..28809b9cb 100644
--- a/master/getting-started/tutorials/06-fused-attention.html
+++ b/master/getting-started/tutorials/06-fused-attention.html
@@ -543,7 +543,7 @@ to download the full example code</p>
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diff --git a/master/getting-started/tutorials/07-libdevice-function.html b/master/getting-started/tutorials/07-libdevice-function.html
index e8648e0b7..de5f352a2 100644
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+++ b/master/getting-started/tutorials/07-libdevice-function.html
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 <p><a class="reference download internal" download="" href="../../_downloads/3ff29f967ace7985da24aab10352fc76/07-libdevice-function.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">07-libdevice-function.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 28031296d..428295cb2 100644
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index ea0b61981..4d219e202 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 79804fd3b..436922108 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 a9ef0d50f..342c72319 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   63.999998   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  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  41.931 seconds)
+   **Total running time of the script:** ( 1 minutes  45.823 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 e7e212d6d..17389e7f2 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   190.511628
+    0     256.0  512.000001      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  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    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
+    93  12160.0  814.058574      406.179533   198.631953
+    94  12288.0  814.111783      416.101597   198.995960
+    95  12416.0  812.498981      412.149375   198.556711
+    96  12544.0  812.566838      412.971190   198.815254
+    97  12672.0  812.633240      412.097543   198.873965
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  21.826 seconds)
+   **Total running time of the script:** ( 3 minutes  23.673 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 316d87332..c62441a9c 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
+    0    256.0   2.978909  ...   3.276800              2.978909
+    1    384.0   7.372800  ...   7.899428              7.899428
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
     5    896.0  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             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
+    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             56.109587
+    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  ...  70.530615             70.172588
+    14  2048.0  73.908442  ...  77.314362             76.959706
+    15  2176.0  83.500614  ...  86.367588             85.269692
+    16  2304.0  68.251065  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  74.719317             84.877538
+    18  2560.0  78.019048  ...  80.908642             81.108913
+    19  2688.0  82.913785  ...  89.254248             88.011732
+    20  2816.0  79.587973  ...  82.602666             81.981598
+    21  2944.0  81.564701  ...  81.034195             82.102191
+    22  3072.0  81.943708  ...  88.473602             87.112467
+    23  3200.0  82.901554  ...  95.522391             95.238096
+    24  3328.0  82.939284  ...  84.200347             84.745492
+    25  3456.0  82.688790  ...  83.893412             88.449333
+    26  3584.0  87.042978  ...  97.734120             98.160909
+    27  3712.0  84.159518  ...  87.208507             89.674457
+    28  3840.0  85.070769  ...  91.247522             84.164384
+    29  3968.0  91.232846  ...  84.856701             91.130650
+    30  4096.0  86.592080  ...  84.573239             90.871857
 
     [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  21.527 seconds)
+   **Total running time of the script:** ( 5 minutes  27.659 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 8513c1fa7..bc97c8f8a 100644
--- a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  311.088617   98.303995  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
+    0    1024.0  311.088617   99.096776  311.088617
+    1    1536.0  351.085717  133.083026  338.201833
+    2    2048.0  423.724127  162.217818  325.509933
+    3    2560.0  461.954908  182.857144  326.808501
+    4    3072.0  511.999982  191.501303  317.793096
+    5    3584.0  554.941930  208.271186  308.301075
+    6    4096.0  568.231237  220.412561  294.323343
+    7    4608.0  498.162157  231.849059  291.031570
+    8    5120.0  525.128191  242.845844  287.102804
+    9    5632.0  538.517949  243.545956  291.310338
     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
+    11   6656.0  527.207907  256.000009  286.793541
+    12   7168.0  507.469040  261.844750  288.644296
+    13   7680.0  482.513091  260.707203  277.172933
+    14   8192.0  460.440290  268.957600  286.183409
+    15   8704.0  416.958106  267.472468  284.987724
+    16   9216.0  428.651187  272.729961  289.507855
+    17   9728.0  438.857162  280.278512  288.950501
+    18  10240.0  447.650282  286.433562  289.811322
+    19  10752.0  430.079980  246.464170  290.267711
+    20  11264.0  429.104745  245.091565  285.767446
+    21  11776.0  421.198220  249.447482  288.686414
+    22  12288.0  420.102570  254.453844  294.911986
+    23  12800.0  415.135142  253.465340  288.180121
+    24  13312.0  412.242569  252.559690  290.179836
+    25  13824.0  405.098897  257.390218  292.571423
+    26  14336.0  397.761846  254.673567  286.481278
+    27  14848.0  383.999990  257.293872  289.246765
+    28  15360.0  374.253788  257.610071  286.433562
+    29  15872.0  366.982663  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.478 seconds)
+   **Total running time of the script:** ( 2 minutes  12.337 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 bf5312e97..15b2f2cfe 100644
--- a/v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**12:36.772** total execution time for **getting-started_tutorials** files:
+**12:49.502** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :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_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:27.659 | 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_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.673 | 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_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.337 | 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_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.823 | 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 2b54116bc..1f4ce96ee 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,7 +324,7 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   76.800002
+3       32768.0   63.999998   63.999998
 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  41.931 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.823 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 a172492af..96a998c32 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   190.511628
+0     256.0  512.000001      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  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-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
+93  12160.0  814.058574      406.179533   198.631953
+94  12288.0  814.111783      416.101597   198.995960
+95  12416.0  812.498981      412.149375   198.556711
+96  12544.0  812.566838      412.971190   198.815254
+97  12672.0  812.633240      412.097543   198.873965
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.826 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.673 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 19ce8af31..a70e27a36 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,42 +568,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.978909  ...   2.978909              2.978909
-1    384.0   7.372800  ...   8.507077              8.507077
+0    256.0   2.978909  ...   3.276800              2.978909
+1    384.0   7.372800  ...   7.899428              7.899428
 2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  34.028308             34.028308
 5    896.0  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             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
+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             56.109587
+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  ...  70.530615             70.172588
+14  2048.0  73.908442  ...  77.314362             76.959706
+15  2176.0  83.500614  ...  86.367588             85.269692
+16  2304.0  68.251065  ...  76.809875             76.563695
+17  2432.0  71.305746  ...  74.719317             84.877538
+18  2560.0  78.019048  ...  80.908642             81.108913
+19  2688.0  82.913785  ...  89.254248             88.011732
+20  2816.0  79.587973  ...  82.602666             81.981598
+21  2944.0  81.564701  ...  81.034195             82.102191
+22  3072.0  81.943708  ...  88.473602             87.112467
+23  3200.0  82.901554  ...  95.522391             95.238096
+24  3328.0  82.939284  ...  84.200347             84.745492
+25  3456.0  82.688790  ...  83.893412             88.449333
+26  3584.0  87.042978  ...  97.734120             98.160909
+27  3712.0  84.159518  ...  87.208507             89.674457
+28  3840.0  85.070769  ...  91.247522             84.164384
+29  3968.0  91.232846  ...  84.856701             91.130650
+30  4096.0  86.592080  ...  84.573239             90.871857
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  21.527 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  27.659 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 78b785649..54e41d159 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   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
+0    1024.0  311.088617   99.096776  311.088617
+1    1536.0  351.085717  133.083026  338.201833
+2    2048.0  423.724127  162.217818  325.509933
+3    2560.0  461.954908  182.857144  326.808501
+4    3072.0  511.999982  191.501303  317.793096
+5    3584.0  554.941930  208.271186  308.301075
+6    4096.0  568.231237  220.412561  294.323343
+7    4608.0  498.162157  231.849059  291.031570
+8    5120.0  525.128191  242.845844  287.102804
+9    5632.0  538.517949  243.545956  291.310338
 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
+11   6656.0  527.207907  256.000009  286.793541
+12   7168.0  507.469040  261.844750  288.644296
+13   7680.0  482.513091  260.707203  277.172933
+14   8192.0  460.440290  268.957600  286.183409
+15   8704.0  416.958106  267.472468  284.987724
+16   9216.0  428.651187  272.729961  289.507855
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