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diff --git a/master/_images/sphx_glr_05-layer-norm_thumb.png b/master/_images/sphx_glr_05-layer-norm_thumb.png
index d11b18494..b9b382252 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 ba45476ba..1c58c0773 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -237,22 +237,22 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
     vector-add-performance:
                size      Triton       Torch
-    0        4096.0    4.363636    9.600000
-    1        8192.0    9.600000   19.200000
-    2       16384.0   19.200000   38.400001
-    3       32768.0   38.400001   76.800002
-    4       65536.0   76.800002  127.999995
-    5      131072.0  139.636363  219.428568
-    6      262144.0  236.307695  341.333321
+    0        4096.0    4.800000    9.600000
+    1        8192.0   10.666666   19.200000
+    2       16384.0   17.454545   38.400001
+    3       32768.0   38.400001   63.999998
+    4       65536.0   69.818181  127.999995
+    5      131072.0  127.999995  219.428568
+    6      262144.0  219.428568  384.000001
     7      524288.0  341.333321  472.615390
     8     1048576.0  472.615390  614.400016
     9     2097152.0  599.414644  702.171410
-    10    4194304.0  702.171410  780.190482
-    11    8388608.0  768.000002  812.429770
+    10    4194304.0  712.347810  780.190482
+    11    8388608.0  774.047204  812.429770
     12   16777216.0  809.086412  833.084721
     13   33554432.0  831.323480  842.004273
     14   67108864.0  841.103727  848.362445
-    15  134217728.0  846.080710  850.656574
+    15  134217728.0  845.625825  850.656574
 
 
 
@@ -260,7 +260,7 @@ 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  35.628 seconds)
+   **Total running time of the script:** ( 1 minutes  38.714 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 59a6be126..1eb644167 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   190.511628
+    0     256.0  546.133347      546.133347   192.752942
     1     384.0  585.142862      585.142862   151.703707
-    2     512.0  655.360017      585.142849   154.566038
-    3     640.0  682.666684      640.000002   158.759699
-    4     768.0  722.823517      646.736871   162.754967
+    2     512.0  655.360017      606.814814   156.038096
+    3     640.0  682.666684      640.000002   160.000000
+    4     768.0  722.823517      646.736871   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      405.755985   198.429370
-    94  12288.0  814.111783      415.661740   198.794749
-    95  12416.0  814.163950      412.149375   198.358474
-    96  12544.0  814.214963      412.971190   198.520274
-    97  12672.0  814.265046      412.097543   198.679085
+    93  12160.0  814.058574      405.755985   198.834951
+    94  12288.0  815.800825      415.661740   199.096718
+    95  12416.0  814.163950      412.149375   198.705656
+    96  12544.0  814.214963      412.971190   198.913776
+    97  12672.0  814.265046      412.097543   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  26.881 seconds)
+   **Total running time of the script:** ( 3 minutes  26.814 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 3d6bc9e4d..d01b78c47 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,36 +459,36 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
     0    256.0   2.730667  ...   3.276800              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             15.420235
+    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  ...  35.389441             34.028308
     5    896.0  37.971025  ...  40.140799             40.140799
-    6   1024.0  49.932191  ...  53.773130             52.428801
-    7   1152.0  44.566925  ...  48.161033             47.396572
-    8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  69.009825             69.009825
+    6   1024.0  49.932191  ...  53.773130             53.773130
+    7   1152.0  45.242181  ...  48.161033             47.396572
+    8   1280.0  51.200001  ...  58.514284             57.690139
+    9   1408.0  64.138541  ...  69.009825             68.147202
     10  1536.0  79.526831  ...  80.430545             80.430545
-    11  1664.0  62.929456  ...  62.929456             62.929456
-    12  1792.0  72.512412  ...  63.142831             62.790080
-    13  1920.0  69.120002  ...  71.626943             71.257735
-    14  2048.0  73.262953  ...  78.033565             77.672296
+    11  1664.0  63.372618  ...  63.372618             62.929456
+    12  1792.0  72.983276  ...  63.142831             62.790080
+    13  1920.0  68.776119  ...  71.257735             71.257735
+    14  2048.0  73.584279  ...  78.033565             77.672296
     15  2176.0  83.155572  ...  87.115360             86.739860
-    16  2304.0  68.446623  ...  77.810656             77.057651
-    17  2432.0  71.125224  ...  75.320281             75.118889
-    18  2560.0  77.833728  ...  81.920002             82.125311
-    19  2688.0  83.552988  ...  90.102270             90.316801
-    20  2816.0  79.879498  ...  84.197315             83.552120
-    21  2944.0  78.854483  ...  82.509987             83.617504
-    22  3072.0  82.420822  ...  89.593522             89.877939
-    23  3200.0  84.432717  ...  96.385543             95.096582
-    24  3328.0  82.275764  ...  84.003845             84.695641
-    25  3456.0  82.099354  ...  91.407671             91.824110
-    26  3584.0  82.377818  ...  91.380335             93.370085
-    27  3712.0  84.730571  ...  89.594031             83.876864
-    28  3840.0  84.615146  ...  92.545605             85.663823
-    29  3968.0  90.859224  ...  85.932350             86.726322
-    30  4096.0  93.825748  ...  86.037005             88.475759
+    16  2304.0  68.446623  ...  77.810656             77.558029
+    17  2432.0  71.125224  ...  75.522751             75.118889
+    18  2560.0  77.833728  ...  82.125311             81.715711
+    19  2688.0  83.552988  ...  90.316801             89.888756
+    20  2816.0  80.173175  ...  83.873477             83.392363
+    21  2944.0  81.034195  ...  84.040530             82.237674
+    22  3072.0  82.301023  ...  89.310890             89.030036
+    23  3200.0  82.156612  ...  96.385543             96.822991
+    24  3328.0  83.516586  ...  85.500351             85.703924
+    25  3456.0  81.683457  ...  86.226274             86.783176
+    26  3584.0  87.211821  ...  98.808123             99.408944
+    27  3712.0  84.159518  ...  86.641231             88.248537
+    28  3840.0  79.391241  ...  85.136259             91.247522
+    29  3968.0  87.097744  ...  91.472214             84.797731
+    30  4096.0  93.401342  ...  84.096318             86.092193
 
     [31 rows x 5 columns]
 
@@ -498,7 +498,7 @@ 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  4.629 seconds)
+   **Total running time of the script:** ( 6 minutes  4.871 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..ecccf6a53 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  0.016 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 a0e620e61..8a6d50f27 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-backward:
               N      Triton       Torch        Apex
-    0    1024.0  356.173905   99.497980  315.076934
-    1    1536.0  405.098894  134.050910  341.333333
-    2    2048.0  491.520012  159.067963  321.254900
-    3    2560.0  458.507457  182.314537  326.808501
-    4    3072.0  519.211251  191.501303  319.168834
-    5    3584.0  554.941930  207.768111  308.301075
-    6    4096.0  561.737163  220.907859  296.096389
-    7    4608.0  500.416301  232.336141  291.031570
-    8    5120.0  527.381977  243.809526  289.811322
-    9    5632.0  540.671974  244.426754  291.310338
+    0    1024.0  361.411758   99.902435  315.076934
+    1    1536.0  405.098894  134.540150  344.523365
+    2    2048.0  491.520012  159.584422  323.368435
+    3    2560.0  458.507457  182.857144  325.079368
+    4    3072.0  519.211251  191.999993  320.556515
+    5    3584.0  554.941930  208.271186  310.527060
+    6    4096.0  568.231237  221.405403  301.546004
+    7    4608.0  502.690905  232.336141  287.251954
+    8    5120.0  527.381977  243.809526  286.433562
+    9    5632.0  542.843364  244.647957  291.939522
     10   6144.0  550.208948  251.202731  287.438593
-    11   6656.0  532.479975  255.590406  286.279570
-    12   7168.0  510.480705  253.360829  277.470965
-    13   7680.0  486.332448  266.743841  284.884090
-    14   8192.0  468.114289  258.354805  278.087683
-    15   8704.0  414.476194  267.472468  284.987724
-    16   9216.0  430.319054  272.394084  289.887291
-    17   9728.0  438.033784  279.942444  288.950501
-    18  10240.0  443.610086  287.102804  290.153487
-    19  10752.0  427.231788  246.699797  289.941565
-    20  11264.0  427.071098  245.760001  286.069848
-    21  11776.0  419.323436  249.667843  288.686414
-    22  12288.0  415.369018  254.673582  294.617366
-    23  12800.0  410.695192  254.094291  288.180121
-    24  13312.0  410.125805  252.360194  289.129403
-    25  13824.0  404.112047  257.190689  291.799461
-    26  14336.0  396.844280  256.000002  288.886653
-    27  14848.0  386.080180  257.665934  288.544136
-    28  15360.0  378.869469  258.332158  285.989131
-    29  15872.0  372.000001  261.626369  290.120338
+    11   6656.0  532.479975  255.590406  286.793541
+    12   7168.0  510.480705  253.734520  277.470965
+    13   7680.0  487.619051  266.358392  284.884090
+    14   8192.0  468.114289  258.354805  278.481578
+    15   8704.0  415.300208  267.815384  285.377055
+    16   9216.0  431.157889  272.394084  289.887291
+    17   9728.0  438.033784  280.278512  289.308559
+    18  10240.0  442.810829  287.438599  290.496460
+    19  10752.0  426.525614  246.935876  289.941565
+    20  11264.0  427.071098  245.536784  286.069848
+    21  11776.0  419.323436  249.447482  288.686414
+    22  12288.0  415.954875  254.893699  294.617366
+    23  12800.0  411.244989  254.094291  289.538159
+    24  13312.0  410.652963  252.559690  289.391298
+    25  13824.0  404.604870  257.190689  292.056329
+    26  14336.0  396.387109  256.190622  289.129416
+    27  14848.0  386.080180  257.665934  288.777966
+    28  15360.0  379.649845  258.513318  286.656296
+    29  15872.0  372.000001  261.806182  290.341468
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  13.230 seconds)
+   **Total running time of the script:** ( 2 minutes  12.229 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.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 6167c20c6..2ce31744f 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**13:20.380** total execution time for **getting-started_tutorials** files:
+**13:22.644** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.629 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.871 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:26.881 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:26.814 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:13.230 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.229 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:35.628 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:38.714 | 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``)       | 00:00.016 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 55684c0fc..3fa7cdd1d 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -327,25 +327,25 @@ for different problem sizes.</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
            size      Triton       Torch
-0        4096.0    4.363636    9.600000
-1        8192.0    9.600000   19.200000
-2       16384.0   19.200000   38.400001
-3       32768.0   38.400001   76.800002
-4       65536.0   76.800002  127.999995
-5      131072.0  139.636363  219.428568
-6      262144.0  236.307695  341.333321
+0        4096.0    4.800000    9.600000
+1        8192.0   10.666666   19.200000
+2       16384.0   17.454545   38.400001
+3       32768.0   38.400001   63.999998
+4       65536.0   69.818181  127.999995
+5      131072.0  127.999995  219.428568
+6      262144.0  219.428568  384.000001
 7      524288.0  341.333321  472.615390
 8     1048576.0  472.615390  614.400016
 9     2097152.0  599.414644  702.171410
-10    4194304.0  702.171410  780.190482
-11    8388608.0  768.000002  812.429770
+10    4194304.0  712.347810  780.190482
+11    8388608.0  774.047204  812.429770
 12   16777216.0  809.086412  833.084721
 13   33554432.0  831.323480  842.004273
 14   67108864.0  841.103727  848.362445
-15  134217728.0  846.080710  850.656574
+15  134217728.0  845.625825  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  35.628 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.714 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 b6a354481..1536ca1e7 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -369,17 +369,17 @@ 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  546.133347      546.133347   192.752942
 1     384.0  585.142862      585.142862   151.703707
-2     512.0  655.360017      585.142849   154.566038
-3     640.0  682.666684      640.000002   158.759699
-4     768.0  722.823517      646.736871   162.754967
+2     512.0  655.360017      606.814814   156.038096
+3     640.0  682.666684      640.000002   160.000000
+4     768.0  722.823517      646.736871   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      405.755985   198.429370
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 [98 rows x 4 columns]
 </pre></div>
@@ -392,7 +392,7 @@ 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 08a444fa5..3140fdd9c 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
@@ -565,41 +565,41 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
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-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
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-6   1024.0  49.932191  ...  53.773130             52.428801
-7   1152.0  44.566925  ...  48.161033             47.396572
-8   1280.0  51.200001  ...  57.690139             57.690139
-9   1408.0  64.138541  ...  69.009825             69.009825
+6   1024.0  49.932191  ...  53.773130             53.773130
+7   1152.0  45.242181  ...  48.161033             47.396572
+8   1280.0  51.200001  ...  58.514284             57.690139
+9   1408.0  64.138541  ...  69.009825             68.147202
 10  1536.0  79.526831  ...  80.430545             80.430545
-11  1664.0  62.929456  ...  62.929456             62.929456
-12  1792.0  72.512412  ...  63.142831             62.790080
-13  1920.0  69.120002  ...  71.626943             71.257735
-14  2048.0  73.262953  ...  78.033565             77.672296
+11  1664.0  63.372618  ...  63.372618             62.929456
+12  1792.0  72.983276  ...  63.142831             62.790080
+13  1920.0  68.776119  ...  71.257735             71.257735
+14  2048.0  73.584279  ...  78.033565             77.672296
 15  2176.0  83.155572  ...  87.115360             86.739860
-16  2304.0  68.446623  ...  77.810656             77.057651
-17  2432.0  71.125224  ...  75.320281             75.118889
-18  2560.0  77.833728  ...  81.920002             82.125311
-19  2688.0  83.552988  ...  90.102270             90.316801
-20  2816.0  79.879498  ...  84.197315             83.552120
-21  2944.0  78.854483  ...  82.509987             83.617504
-22  3072.0  82.420822  ...  89.593522             89.877939
-23  3200.0  84.432717  ...  96.385543             95.096582
-24  3328.0  82.275764  ...  84.003845             84.695641
-25  3456.0  82.099354  ...  91.407671             91.824110
-26  3584.0  82.377818  ...  91.380335             93.370085
-27  3712.0  84.730571  ...  89.594031             83.876864
-28  3840.0  84.615146  ...  92.545605             85.663823
-29  3968.0  90.859224  ...  85.932350             86.726322
-30  4096.0  93.825748  ...  86.037005             88.475759
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+17  2432.0  71.125224  ...  75.522751             75.118889
+18  2560.0  77.833728  ...  82.125311             81.715711
+19  2688.0  83.552988  ...  90.316801             89.888756
+20  2816.0  80.173175  ...  83.873477             83.392363
+21  2944.0  81.034195  ...  84.040530             82.237674
+22  3072.0  82.301023  ...  89.310890             89.030036
+23  3200.0  82.156612  ...  96.385543             96.822991
+24  3328.0  83.516586  ...  85.500351             85.703924
+25  3456.0  81.683457  ...  86.226274             86.783176
+26  3584.0  87.211821  ...  98.808123             99.408944
+27  3712.0  84.159518  ...  86.641231             88.248537
+28  3840.0  79.391241  ...  85.136259             91.247522
+29  3968.0  87.097744  ...  91.472214             84.797731
+30  4096.0  93.401342  ...  84.096318             86.092193
 
 [31 rows x 5 columns]
 </pre></div>
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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 4584a3714..084f0735b 100644
--- a/master/getting-started/tutorials/04-low-memory-dropout.html
+++ b/master/getting-started/tutorials/04-low-memory-dropout.html
@@ -372,7 +372,7 @@ 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 30d362e91..783607cc5 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
+++ b/master/getting-started/tutorials/05-layer-norm.html
@@ -194,36 +194,36 @@ to download the full example code</p>
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+2    2048.0  491.520012  159.584422  323.368435
+3    2560.0  458.507457  182.857144  325.079368
+4    3072.0  519.211251  191.999993  320.556515
+5    3584.0  554.941930  208.271186  310.527060
+6    4096.0  568.231237  221.405403  301.546004
+7    4608.0  502.690905  232.336141  287.251954
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+9    5632.0  542.843364  244.647957  291.939522
 10   6144.0  550.208948  251.202731  287.438593
-11   6656.0  532.479975  255.590406  286.279570
-12   7168.0  510.480705  253.360829  277.470965
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-14   8192.0  468.114289  258.354805  278.087683
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-16   9216.0  430.319054  272.394084  289.887291
-17   9728.0  438.033784  279.942444  288.950501
-18  10240.0  443.610086  287.102804  290.153487
-19  10752.0  427.231788  246.699797  289.941565
-20  11264.0  427.071098  245.760001  286.069848
-21  11776.0  419.323436  249.667843  288.686414
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-24  13312.0  410.125805  252.360194  289.129403
-25  13824.0  404.112047  257.190689  291.799461
-26  14336.0  396.844280  256.000002  288.886653
-27  14848.0  386.080180  257.665934  288.544136
-28  15360.0  378.869469  258.332158  285.989131
-29  15872.0  372.000001  261.626369  290.120338
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+15   8704.0  415.300208  267.815384  285.377055
+16   9216.0  431.157889  272.394084  289.887291
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+18  10240.0  442.810829  287.438599  290.496460
+19  10752.0  426.525614  246.935876  289.941565
+20  11264.0  427.071098  245.536784  286.069848
+21  11776.0  419.323436  249.447482  288.686414
+22  12288.0  415.954875  254.893699  294.617366
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+25  13824.0  404.604870  257.190689  292.056329
+26  14336.0  396.387109  256.190622  289.129416
+27  14848.0  386.080180  257.665934  288.777966
+28  15360.0  379.649845  258.513318  286.656296
+29  15872.0  372.000001  261.806182  290.341468
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diff --git a/master/getting-started/tutorials/sg_execution_times.html b/master/getting-started/tutorials/sg_execution_times.html
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diff --git a/v1.1.2/_images/sphx_glr_01-vector-add_thumb.png b/v1.1.2/_images/sphx_glr_01-vector-add_thumb.png
index 7f158397f..209f6328c 100644
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diff --git a/v1.1.2/_images/sphx_glr_02-fused-softmax_001.png b/v1.1.2/_images/sphx_glr_02-fused-softmax_001.png
index 2b33fc404..0e550778f 100644
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diff --git a/v1.1.2/_images/sphx_glr_02-fused-softmax_thumb.png b/v1.1.2/_images/sphx_glr_02-fused-softmax_thumb.png
index 5aaa71e9d..2d1b637b2 100644
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diff --git a/v1.1.2/_images/sphx_glr_03-matrix-multiplication_001.png b/v1.1.2/_images/sphx_glr_03-matrix-multiplication_001.png
index 620bc6246..d9f23eeb5 100644
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index df879f6b9..77ba7f329 100644
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diff --git a/v1.1.2/_images/sphx_glr_05-layer-norm_001.png b/v1.1.2/_images/sphx_glr_05-layer-norm_001.png
index c95cb802f..fb03cc88c 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 c1defd85e..07449808d 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 70c02fe1d..b6caf4d71 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   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  341.333321  341.333321
@@ -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  46.221 seconds)
+   **Total running time of the script:** ( 1 minutes  43.041 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 1f809e7b1..ac7619262 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  585.142862      585.142862   151.703707
     2     512.0  655.360017      585.142849   156.038096
     3     640.0  682.666684      640.000002   158.759699
-    4     768.0  722.823517      646.736871   162.754967
+    4     768.0  722.823517      646.736871   163.839992
     ..      ...         ...             ...          ...
     93  12160.0  812.359066      405.755985   198.530610
-    94  12288.0  814.111783      415.661740   198.794749
+    94  12288.0  814.111783      415.222812   198.895304
     95  12416.0  812.498981      412.149375   198.457532
-    96  12544.0  812.566838      412.971190   198.618504
-    97  12672.0  812.633240      412.097543   198.776477
+    96  12544.0  812.566838      412.971190   198.716830
+    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  22.095 seconds)
+   **Total running time of the script:** ( 3 minutes  22.770 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 15cf8220c..7f6a6d48b 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
@@ -462,12 +462,12 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   3.276800              2.978909
+    0    256.0   2.730667  ...   2.978909              2.978909
     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  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  39.025776             37.971025
+    5    896.0  37.971025  ...  39.025776             39.025776
     6   1024.0  49.932191  ...  52.428801             52.428801
     7   1152.0  44.566925  ...  46.656000             46.656000
     8   1280.0  51.200001  ...  56.888887             56.888887
@@ -477,22 +477,22 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     12  1792.0  72.983276  ...  72.047592             71.588687
     13  1920.0  68.776119  ...  70.172588             70.172588
     14  2048.0  73.908442  ...  76.959706             76.608294
-    15  2176.0  83.155572  ...  85.998493             85.269692
+    15  2176.0  83.155572  ...  85.632545             85.632545
     16  2304.0  68.251065  ...  76.563695             76.319081
-    17  2432.0  71.125224  ...  82.874527             83.614477
-    18  2560.0  77.833728  ...  81.108913             80.908642
-    19  2688.0  83.552988  ...  90.102270             89.676257
-    20  2816.0  84.035084  ...  83.233226             83.233226
-    21  2944.0  82.102191  ...  82.784108             82.784108
-    22  3072.0  81.707223  ...  88.612060             88.820552
-    23  3200.0  84.936964  ...  95.309011             94.955488
-    24  3328.0  82.939284  ...  84.795401             83.857070
-    25  3456.0  81.108217  ...  84.864807             88.400840
-    26  3584.0  86.540320  ...  97.734120             98.483450
-    27  3712.0  82.491612  ...  86.942857             88.483034
-    28  3840.0  81.798814  ...  84.614136             91.549669
-    29  3968.0  85.811488  ...  91.403695             83.805851
-    30  4096.0  93.466385  ...  82.441739             83.261615
+    17  2432.0  71.125224  ...  74.818811             81.669953
+    18  2560.0  77.833728  ...  80.709358             80.908642
+    19  2688.0  83.186525  ...  89.676257             89.888756
+    20  2816.0  80.173175  ...  83.074685             82.916747
+    21  2944.0  81.832567  ...  82.237674             82.237674
+    22  3072.0  81.707223  ...  89.310890             88.335577
+    23  3200.0  84.432717  ...  95.380032             94.955488
+    24  3328.0  82.939284  ...  81.346098             81.162679
+    25  3456.0  82.519518  ...  85.767626             90.382926
+    26  3584.0  87.381330  ...  98.808123             90.458141
+    27  3712.0  81.615477  ...  88.640059             84.017953
+    28  3840.0  84.228485  ...  92.159996             84.354966
+    29  3968.0  90.388098  ...  87.976885             90.994735
+    30  4096.0  86.592080  ...  87.495257             90.260743
 
     [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  25.787 seconds)
+   **Total running time of the script:** ( 5 minutes  25.557 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 fe8dcd6a8..19f01770c 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  307.200008   99.497980  311.088617
+    0    1024.0  307.200008   99.497980  315.076934
     1    1536.0  351.085717  134.050910  344.523365
     2    2048.0  423.724127  159.067963  332.108094
     3    2560.0  458.507457  182.314537  330.322572
     4    3072.0  515.580429  191.501303  316.429186
-    5    3584.0  544.405080  207.768111  311.652167
-    6    4096.0  564.965515  220.907859  298.796351
-    7    4608.0  498.162157  232.336141  288.751954
-    8    5120.0  527.381977  243.809526  289.129408
+    5    3584.0  547.872604  207.768111  310.527060
+    6    4096.0  568.231237  220.412561  298.796351
+    7    4608.0  500.416301  232.336141  289.507855
+    8    5120.0  529.655159  243.326731  289.129408
     9    5632.0  540.671974  244.426754  291.310338
-    10   6144.0  548.163546  250.775512  286.879370
+    10   6144.0  550.208948  250.775512  287.438593
     11   6656.0  536.053693  255.590406  286.793541
-    12   7168.0  516.612607  253.360829  277.470965
+    12   7168.0  516.612607  253.734520  277.470965
     13   7680.0  488.912481  266.743841  284.884090
-    14   8192.0  463.698115  258.354805  278.087683
-    15   8704.0  416.958106  267.472468  284.987724
-    16   9216.0  431.157889  272.394084  289.887291
+    14   8192.0  464.794337  258.354805  278.087683
+    15   8704.0  416.958106  267.472468  285.377055
+    16   9216.0  431.157889  272.059034  289.887291
     17   9728.0  439.683593  279.942444  288.950501
-    18  10240.0  446.836366  287.102804  290.153487
-    19  10752.0  430.079980  246.699797  289.941565
-    20  11264.0  429.786952  245.313973  286.069848
-    21  11776.0  420.571432  249.447482  288.981596
-    22  12288.0  418.909088  254.453844  294.323369
+    18  10240.0  446.836366  287.102804  290.496460
+    19  10752.0  430.079980  246.464170  289.941565
+    20  11264.0  430.471331  245.313973  286.069848
+    21  11776.0  419.946507  249.227509  288.981596
+    22  12288.0  418.314886  254.453844  294.323369
     23  12800.0  414.016170  253.884294  288.721817
-    24  13312.0  411.181478  252.360194  289.391298
-    25  13824.0  404.112047  256.991469  291.799461
+    24  13312.0  411.711355  252.459903  289.129403
+    25  13824.0  404.604870  256.991469  291.799461
     26  14336.0  395.021816  255.809666  289.129416
-    27  14848.0  384.829370  257.479779  289.012175
-    28  15360.0  376.932517  258.332158  287.775181
-    29  15872.0  369.832994  261.626369  290.562936
+    27  14848.0  385.245405  257.479779  289.012175
+    28  15360.0  376.547496  258.332158  287.550706
+    29  15872.0  369.474279  261.446802  290.562936
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.638 seconds)
+   **Total running time of the script:** ( 2 minutes  10.802 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 4a7536dfb..7bdd8e298 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
 =================
-**12:45.752** total execution time for **getting-started_tutorials** files:
+**12:42.179** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:25.787 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:25.557 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.095 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.770 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.638 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:10.802 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.221 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.041 | 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 029434784..01d1b28c6 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,7 +324,7 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   76.800002
+3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  341.333321  341.333321
@@ -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  46.221 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.041 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 a31ba7742..f92ee6686 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  585.142862      585.142862   151.703707
 2     512.0  655.360017      585.142849   156.038096
 3     640.0  682.666684      640.000002   158.759699
-4     768.0  722.823517      646.736871   162.754967
+4     768.0  722.823517      646.736871   163.839992
 ..      ...         ...             ...          ...
 93  12160.0  812.359066      405.755985   198.530610
-94  12288.0  814.111783      415.661740   198.794749
+94  12288.0  814.111783      415.222812   198.895304
 95  12416.0  812.498981      412.149375   198.457532
-96  12544.0  812.566838      412.971190   198.618504
-97  12672.0  812.633240      412.097543   198.776477
+96  12544.0  812.566838      412.971190   198.716830
+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  22.095 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.770 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 24b5550a4..91b177f6c 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,12 +568,12 @@ 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)
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-5    896.0  37.971025  ...  39.025776             37.971025
+5    896.0  37.971025  ...  39.025776             39.025776
 6   1024.0  49.932191  ...  52.428801             52.428801
 7   1152.0  44.566925  ...  46.656000             46.656000
 8   1280.0  51.200001  ...  56.888887             56.888887
@@ -583,27 +583,27 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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 13  1920.0  68.776119  ...  70.172588             70.172588
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-15  2176.0  83.155572  ...  85.998493             85.269692
+15  2176.0  83.155572  ...  85.632545             85.632545
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-17  2432.0  71.125224  ...  82.874527             83.614477
-18  2560.0  77.833728  ...  81.108913             80.908642
-19  2688.0  83.552988  ...  90.102270             89.676257
-20  2816.0  84.035084  ...  83.233226             83.233226
-21  2944.0  82.102191  ...  82.784108             82.784108
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-24  3328.0  82.939284  ...  84.795401             83.857070
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-27  3712.0  82.491612  ...  86.942857             88.483034
-28  3840.0  81.798814  ...  84.614136             91.549669
-29  3968.0  85.811488  ...  91.403695             83.805851
-30  4096.0  93.466385  ...  82.441739             83.261615
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+23  3200.0  84.432717  ...  95.380032             94.955488
+24  3328.0  82.939284  ...  81.346098             81.162679
+25  3456.0  82.519518  ...  85.767626             90.382926
+26  3584.0  87.381330  ...  98.808123             90.458141
+27  3712.0  81.615477  ...  88.640059             84.017953
+28  3840.0  84.228485  ...  92.159996             84.354966
+29  3968.0  90.388098  ...  87.976885             90.994735
+30  4096.0  86.592080  ...  87.495257             90.260743
 
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-28  15360.0  376.932517  258.332158  287.775181
-29  15872.0  369.832994  261.626369  290.562936
+27  14848.0  385.245405  257.479779  289.012175
+28  15360.0  376.547496  258.332158  287.550706
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