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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 b7fdee920..c4edc2a9c 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 927da13db..ac8d6ba95 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 0a446246f..906292bf1 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 1b602038f..9a230f36e 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 07f0566c1..44985e7b8 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 fa0804601..085f80c15 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 44a823284..60d588e01 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,7 +235,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   76.800002   76.800002
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  384.000001  384.000001
@@ -245,7 +245,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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  45.454 seconds)
+   **Total running time of the script:** ( 1 minutes  50.498 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 447e4ca60..112ab1e77 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  546.133347      546.133347   188.321838
-    1     384.0  614.400016      585.142862   151.703707
-    2     512.0  655.360017      606.814814   156.038096
-    3     640.0  706.206879      640.000002   158.759699
+    0     256.0  546.133347      546.133347   190.511628
+    1     384.0  614.400016      585.142862   153.600004
+    2     512.0  655.360017      606.814814   154.566038
+    3     640.0  706.206879      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.834951
-    94  12288.0  812.429770      415.661740   199.197579
-    95  12416.0  812.498981      412.149375   198.854847
-    96  12544.0  810.925276      412.546756   199.012395
-    97  12672.0  811.007961      412.097543   199.167004
+    93  12160.0  812.359066      406.179533   198.530610
+    94  12288.0  812.429770      415.222812   198.794749
+    95  12416.0  812.498981      412.149375   198.556711
+    96  12544.0  810.925276      412.546756   198.716830
+    97  12672.0  811.007961      412.097543   198.776477
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  32.151 seconds)
+   **Total running time of the script:** ( 3 minutes  32.107 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 986738073..b6fc001ed 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   2.978909              2.978909
+    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  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  44.566925  ...  47.396572             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  69.009825             68.147202
+    9   1408.0  64.138541  ...  68.147202             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             70.892307
+    13  1920.0  69.120002  ...  71.626943             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.155572  ...  87.876193             85.998493
-    16  2304.0  68.446623  ...  78.064941             76.809875
-    17  2432.0  71.305746  ...  85.393507             83.614477
-    18  2560.0  78.019048  ...  82.022525             81.512437
-    19  2688.0  83.737433  ...  90.748936             89.676257
-    20  2816.0  80.173175  ...  84.035084             80.099554
-    21  2944.0  82.921853  ...  83.337844             82.102191
-    22  3072.0  81.825298  ...  88.890270             88.060814
-    23  3200.0  83.989503  ...  97.116842             93.704243
-    24  3328.0  83.226931  ...  85.398926             84.397770
-    25  3456.0  82.099354  ...  91.615417             91.097818
-    26  3584.0  85.715344  ...  90.367227             91.563533
-    27  3712.0  85.896254  ...  88.797643             83.456425
-    28  3840.0  85.005380  ...  93.523887             84.485870
-    29  3968.0  92.512459  ...  84.679120             91.266964
-    30  4096.0  86.480498  ...  86.536250             92.214171
+    15  2176.0  83.500614  ...  87.876193             86.367588
+    16  2304.0  68.446623  ...  78.064941             77.307030
+    17  2432.0  71.305746  ...  86.711310             85.653855
+    18  2560.0  78.019048  ...  82.956960             81.715711
+    19  2688.0  83.922689  ...  90.316801             90.102270
+    20  2816.0  79.587973  ...  83.873477             83.873477
+    21  2944.0  81.832567  ...  83.617504             82.921853
+    22  3072.0  81.707223  ...  90.164177             88.197981
+    23  3200.0  82.262212  ...  97.190583             95.238096
+    24  3328.0  82.843841  ...  85.196803             84.200347
+    25  3456.0  79.430113  ...  85.133652             82.604067
+    26  3584.0  87.381330  ...  99.244365             91.563533
+    27  3712.0  84.874549  ...  82.902362             86.044224
+    28  3840.0  84.550462  ...  93.405401             84.809814
+    29  3968.0  92.512459  ...  84.975809             90.859224
+    30  4096.0  86.313653  ...  93.792965             90.321484
 
     [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  43.164 seconds)
+   **Total running time of the script:** ( 6 minutes  38.502 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index 8c9a98e09..45e07c485 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  481.882344
+    0    1024.0  606.814814  277.694907  468.114273
     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  518.481028
-    4    3072.0  702.171410  378.092307  501.551037
+    2    2048.0  682.666643  334.367358  520.126988
+    3    2560.0  694.237267  365.714281  512.000013
+    4    3072.0  712.347810  378.092307  496.484863
     5    3584.0  725.873439  384.859062  451.527536
-    6    4096.0  728.177767  383.251446  445.823133
-    7    4608.0  670.254540  396.387087  426.173427
-    8    5120.0  688.403381  397.669909  424.455959
-    9    5632.0  698.542675  396.969169  411.470331
-    10   6144.0  702.171410  404.543206  411.313806
+    6    4096.0  728.177767  381.023256  455.111095
+    7    4608.0  670.254540  394.267384  426.173427
+    8    5120.0  688.403381  397.669909  422.268057
+    9    5632.0  704.000002  395.228063  415.262685
+    10   6144.0  697.191505  402.885254  409.600010
     11   6656.0  700.631610  400.360920  400.360920
-    12   7168.0  686.754468  382.293315  384.859062
+    12   7168.0  690.891575  396.844306  387.459443
     13   7680.0  678.895043  393.846167  386.415087
-    14   8192.0  642.509816  392.431125  374.491442
-    15   8704.0  624.502255  391.191007  379.465939
-    16   9216.0  604.327881  405.098894  382.010363
-    17   9728.0  585.142883  408.524944  383.369452
-    18  10240.0  564.965524  410.626555  382.803739
-    19  10752.0  546.133312  411.559798  380.601764
-    20  11264.0  531.634232  396.969169  367.804077
-    21  11776.0  520.486200  410.492372  377.587162
-    22  12288.0  513.336807  413.911572  383.251457
-    23  12800.0  504.433489  410.420828  377.163903
-    24  13312.0  494.180982  408.030638  376.976995
-    25  13824.0  481.882350  412.656711  379.389355
-    26  14336.0  471.967074  398.914774  371.158581
-    27  14848.0  461.297068  406.794504  375.304904
-    28  15360.0  454.269882  406.887417  377.511515
-    29  15872.0  447.098578  408.940410  376.225175
+    14   8192.0  636.271854  393.609605  371.308771
+    15   8704.0  627.315309  389.005597  381.545190
+    16   9216.0  606.814809  407.337026  383.999986
+    17   9728.0  587.350922  409.599987  383.369452
+    18  10240.0  564.965524  408.578556  382.803739
+    19  10752.0  547.872604  411.559798  381.445676
+    20  11264.0  533.207081  406.826188  373.134567
+    21  11776.0  520.486200  409.599991  377.587162
+    22  12288.0  514.680630  413.911572  383.251457
+    23  12800.0  504.433489  410.420828  376.470582
+    24  13312.0  494.180982  405.699062  376.976995
+    25  13824.0  482.934503  411.888257  379.389355
+    26  14336.0  471.967074  406.695045  374.185964
+    27  14848.0  461.297068  408.192434  375.304904
+    28  15360.0  454.269882  406.214870  378.092307
+    29  15872.0  447.887117  406.974373  376.225175
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  39.791 seconds)
+   **Total running time of the script:** ( 5 minutes  38.270 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 4268b93ae..36407fd0c 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
 =================
-**17:40.655** total execution time for **getting-started_tutorials** files:
+**17:39.472** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:43.164 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:38.502 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:39.791 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:38.270 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.151 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.107 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.454 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:50.498 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.073 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index adcd58a5c..e219613fd 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -327,7 +327,7 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   76.800002   76.800002
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  384.000001  384.000001
@@ -337,12 +337,12 @@ for different problem sizes.</p>
 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
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.454 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  50.498 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 3874344c4..a70907821 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,17 +371,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  546.133347      546.133347   188.321838
-1     384.0  614.400016      585.142862   151.703707
-2     512.0  655.360017      606.814814   156.038096
-3     640.0  706.206879      640.000002   158.759699
+0     256.0  546.133347      546.133347   190.511628
+1     384.0  614.400016      585.142862   153.600004
+2     512.0  655.360017      606.814814   154.566038
+3     640.0  706.206879      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.834951
-94  12288.0  812.429770      415.661740   199.197579
-95  12416.0  812.498981      412.149375   198.854847
-96  12544.0  810.925276      412.546756   199.012395
-97  12672.0  811.007961      412.097543   199.167004
+93  12160.0  812.359066      406.179533   198.530610
+94  12288.0  812.429770      415.222812   198.794749
+95  12416.0  812.498981      412.149375   198.556711
+96  12544.0  810.925276      412.546756   198.716830
+97  12672.0  811.007961      412.097543   198.776477
 
 [98 rows x 4 columns]
 </pre></div>
@@ -394,7 +394,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  32.151 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  32.107 seconds)</p>
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diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index fe9335a94..b5c19b4fd 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
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-0    256.0   2.978909  ...   2.978909              2.978909
+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  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  44.566925  ...  47.396572             47.396572
 8   1280.0  51.200001  ...  57.690139             57.690139
-9   1408.0  64.138541  ...  69.009825             68.147202
+9   1408.0  64.138541  ...  68.147202             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             70.892307
+13  1920.0  69.120002  ...  71.626943             71.257735
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-15  2176.0  83.155572  ...  87.876193             85.998493
-16  2304.0  68.446623  ...  78.064941             76.809875
-17  2432.0  71.305746  ...  85.393507             83.614477
-18  2560.0  78.019048  ...  82.022525             81.512437
-19  2688.0  83.737433  ...  90.748936             89.676257
-20  2816.0  80.173175  ...  84.035084             80.099554
-21  2944.0  82.921853  ...  83.337844             82.102191
-22  3072.0  81.825298  ...  88.890270             88.060814
-23  3200.0  83.989503  ...  97.116842             93.704243
-24  3328.0  83.226931  ...  85.398926             84.397770
-25  3456.0  82.099354  ...  91.615417             91.097818
-26  3584.0  85.715344  ...  90.367227             91.563533
-27  3712.0  85.896254  ...  88.797643             83.456425
-28  3840.0  85.005380  ...  93.523887             84.485870
-29  3968.0  92.512459  ...  84.679120             91.266964
-30  4096.0  86.480498  ...  86.536250             92.214171
+15  2176.0  83.500614  ...  87.876193             86.367588
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+19  2688.0  83.922689  ...  90.316801             90.102270
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+22  3072.0  81.707223  ...  90.164177             88.197981
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+24  3328.0  82.843841  ...  85.196803             84.200347
+25  3456.0  79.430113  ...  85.133652             82.604067
+26  3584.0  87.381330  ...  99.244365             91.563533
+27  3712.0  84.874549  ...  82.902362             86.044224
+28  3840.0  84.550462  ...  93.405401             84.809814
+29  3968.0  92.512459  ...  84.975809             90.859224
+30  4096.0  86.313653  ...  93.792965             90.321484
 
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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 896b6ce63..b7b903af3 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
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@@ -196,36 +196,36 @@ to download the full example code</p>
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-14   8192.0  642.509816  392.431125  374.491442
-15   8704.0  624.502255  391.191007  379.465939
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-18  10240.0  564.965524  410.626555  382.803739
-19  10752.0  546.133312  411.559798  380.601764
-20  11264.0  531.634232  396.969169  367.804077
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-23  12800.0  504.433489  410.420828  377.163903
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-25  13824.0  481.882350  412.656711  379.389355
-26  14336.0  471.967074  398.914774  371.158581
-27  14848.0  461.297068  406.794504  375.304904
-28  15360.0  454.269882  406.887417  377.511515
-29  15872.0  447.098578  408.940410  376.225175
+14   8192.0  636.271854  393.609605  371.308771
+15   8704.0  627.315309  389.005597  381.545190
+16   9216.0  606.814809  407.337026  383.999986
+17   9728.0  587.350922  409.599987  383.369452
+18  10240.0  564.965524  408.578556  382.803739
+19  10752.0  547.872604  411.559798  381.445676
+20  11264.0  533.207081  406.826188  373.134567
+21  11776.0  520.486200  409.599991  377.587162
+22  12288.0  514.680630  413.911572  383.251457
+23  12800.0  504.433489  410.420828  376.470582
+24  13312.0  494.180982  405.699062  376.976995
+25  13824.0  482.934503  411.888257  379.389355
+26  14336.0  471.967074  406.695045  374.185964
+27  14848.0  461.297068  408.192434  375.304904
+28  15360.0  454.269882  406.214870  378.092307
+29  15872.0  447.887117  406.974373  376.225175
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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 530bc87ef..9bcb1114a 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 29fcc3acf..39974cccc 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 c5a07b6fd..542a28cb5 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
@@ -232,8 +232,8 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     vector-add-performance:
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
-    1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   31.999999
+    1        8192.0   15.999999   19.200000
+    2       16384.0   38.400001   38.400001
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  38.029 seconds)
+   **Total running time of the script:** ( 1 minutes  46.040 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 40b95c2af..87d90bcb6 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   192.752942
+    0     256.0  512.000001      546.133347   186.181817
     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   163.839992
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   199.038365
-    94  12288.0  814.111783      415.661740   199.298541
-    95  12416.0  812.498981      412.577363   198.954424
-    96  12544.0  812.566838      412.971190   199.111113
-    97  12672.0  812.633240      412.097543   199.264875
+    93  12160.0  814.058574      406.179533   198.834951
+    94  12288.0  814.111783      415.661740   199.096718
+    95  12416.0  812.498981      412.149375   198.755369
+    96  12544.0  812.566838      412.971190   199.012395
+    97  12672.0  812.633240      412.097543   199.069228
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  18.031 seconds)
+   **Total running time of the script:** ( 3 minutes  22.897 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 329f0bfed..9f4014393 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  ...   3.276800              2.978909
+    0    256.0   2.730667  ...   2.978909              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
     5    896.0  39.025776  ...  40.140799             39.025776
     6   1024.0  51.150050  ...  53.773130             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  ...  80.430545             79.526831
-    11  1664.0  62.929456  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.530615             70.530615
+    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  ...  72.047592             71.588687
+    13  1920.0  69.120002  ...  70.530615             70.172588
     14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.500614  ...  86.367588             85.632545
+    15  2176.0  83.155572  ...  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  ...  81.310171             80.511054
-    19  2688.0  83.369354  ...  89.888756             89.254248
-    20  2816.0  81.067298  ...  83.552120             82.602666
-    21  2944.0  82.237674  ...  82.373605             81.967162
-    22  3072.0  81.121923  ...  88.335577             88.473602
-    23  3200.0  84.768213  ...  95.238096             94.814812
-    24  3328.0  83.905938  ...  84.496824             84.596116
-    25  3456.0  78.502012  ...  85.223646             85.858966
-    26  3584.0  87.169547  ...  98.483450             90.273669
-    27  3712.0  81.548851  ...  86.044224             86.791782
-    28  3840.0  84.809814  ...  92.083268             86.197974
-    29  3968.0  93.112506  ...  83.980685             91.198760
-    30  4096.0  87.495257  ...  93.336389             86.313653
+    17  2432.0  71.305746  ...  74.918570             84.877538
+    18  2560.0  77.833728  ...  81.310171             81.108913
+    19  2688.0  83.737433  ...  89.888756             89.044730
+    20  2816.0  79.879498  ...  83.074685             82.446516
+    21  2944.0  82.921853  ...  82.646820             83.060049
+    22  3072.0  81.707223  ...  87.516392             88.060814
+    23  3200.0  80.402009  ...  93.841640             92.219022
+    24  3328.0  81.530349  ...  84.895397             84.397770
+    25  3456.0  81.932484  ...  85.043848             88.497878
+    26  3584.0  86.457107  ...  98.808123             93.176571
+    27  3712.0  81.615477  ...  86.716441             87.399253
+    28  3840.0  83.027026  ...  90.909991             87.355452
+    29  3968.0  88.873953  ...  84.097346             90.054568
+    30  4096.0  92.820009  ...  88.534120             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  16.961 seconds)
+   **Total running time of the script:** ( 5 minutes  56.082 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index 3a385a5bb..66faa2e59 100644
--- a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -238,7 +238,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.011 seconds)
+   **Total running time of the script:** ( 0 minutes  0.130 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index a4e48571a..8f52aaccc 100644
--- a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  311.088617   99.497980  311.088617
-    1    1536.0  351.085717  133.565214  341.333333
-    2    2048.0  423.724127  162.217818  338.979315
+    0    1024.0  307.200008   99.096776  307.200008
+    1    1536.0  351.085717  133.083026  338.201833
+    2    2048.0  423.724127  162.217818  334.367350
     3    2560.0  461.954908  182.857144  330.322572
-    4    3072.0  511.999982  191.501303  316.429186
-    5    3584.0  554.941930  208.271186  310.527060
+    4    3072.0  515.580429  191.501303  320.556515
+    5    3584.0  551.384634  208.271186  308.301075
     6    4096.0  568.231237  220.412561  297.890900
-    7    4608.0  498.162157  231.849059  290.267724
-    8    5120.0  525.128191  242.845844  287.102804
-    9    5632.0  538.517949  243.545956  290.683877
-    10   6144.0  544.118087  248.661056  286.879370
-    11   6656.0  527.207907  256.410903  286.793541
-    12   7168.0  507.469040  262.243907  288.160801
-    13   7680.0  482.513091  260.707203  277.590365
-    14   8192.0  460.440290  268.957600  286.809636
+    7    4608.0  498.162157  231.849059  287.251954
+    8    5120.0  525.128191  242.845844  283.787523
+    9    5632.0  538.517949  243.545956  291.310338
+    10   6144.0  544.118087  248.661056  286.322318
+    11   6656.0  527.207907  256.000009  286.279570
+    12   7168.0  505.976473  262.243907  288.160801
+    13   7680.0  482.513091  260.707203  277.172933
+    14   8192.0  460.440290  268.957600  286.600589
     15   8704.0  416.958106  267.815384  285.377055
-    16   9216.0  428.651187  272.729961  289.507855
-    17   9728.0  438.857162  280.615388  288.950501
-    18  10240.0  447.650282  286.767793  290.496460
+    16   9216.0  428.651187  273.066667  289.507855
+    17   9728.0  438.857162  280.278512  288.950501
+    18  10240.0  447.650282  286.767793  290.153487
     19  10752.0  430.079980  246.464170  290.267711
-    20  11264.0  429.104745  245.091565  286.069848
-    21  11776.0  421.198220  249.227509  288.686414
-    22  12288.0  420.102570  254.673582  295.207195
-    23  12800.0  415.696898  253.465340  288.180121
-    24  13312.0  412.775186  252.759501  290.179836
+    20  11264.0  429.104745  245.202718  285.767446
+    21  11776.0  421.198220  249.447482  288.686414
+    22  12288.0  420.102570  254.453844  295.207195
+    23  12800.0  415.135142  253.465340  288.180121
+    24  13312.0  412.242569  252.759501  290.179836
     25  13824.0  405.098897  257.190689  292.571423
-    26  14336.0  398.222222  254.673567  286.481278
-    27  14848.0  384.414233  257.293872  289.246765
-    28  15360.0  374.253788  257.790220  288.000007
-    29  15872.0  366.982663  262.890274  291.006885
+    26  14336.0  397.761846  254.862216  286.481278
+    27  14848.0  383.999990  257.108233  289.246765
+    28  15360.0  374.634130  257.610071  288.000007
+    29  15872.0  366.982663  262.890274  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.847 seconds)
+   **Total running time of the script:** ( 2 minutes  12.430 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 ebd432163..dda6b7e4f 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
 =================
-**12:24.878** total execution time for **getting-started_tutorials** files:
+**13:17.580** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:16.961 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:56.082 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:18.031 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.897 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.847 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.430 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:38.029 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.040 | 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 |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.130 | 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 8a897abe1..f8ff53a41 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -322,8 +322,8 @@ for different problem sizes.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
-1        8192.0   19.200000   19.200000
-2       16384.0   38.400001   31.999999
+1        8192.0   15.999999   19.200000
+2       16384.0   38.400001   38.400001
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
@@ -339,7 +339,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.029 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.040 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 86a4439aa..168d9e3ea 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   192.752942
+0     256.0  512.000001      546.133347   186.181817
 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   163.839992
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   199.038365
-94  12288.0  814.111783      415.661740   199.298541
-95  12416.0  812.498981      412.577363   198.954424
-96  12544.0  812.566838      412.971190   199.111113
-97  12672.0  812.633240      412.097543   199.264875
+93  12160.0  814.058574      406.179533   198.834951
+94  12288.0  814.111783      415.661740   199.096718
+95  12416.0  812.498981      412.149375   198.755369
+96  12544.0  812.566838      412.971190   199.012395
+97  12672.0  812.633240      412.097543   199.069228
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  18.031 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.897 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 540fdc270..0bcb4e621 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  ...   3.276800              2.978909
+0    256.0   2.730667  ...   2.978909              2.978909
 1    384.0   7.372800  ...   8.507077              8.507077
 2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  34.028308             34.028308
 5    896.0  39.025776  ...  40.140799             39.025776
 6   1024.0  51.150050  ...  53.773130             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  ...  80.430545             79.526831
-11  1664.0  62.929456  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  72.047592             71.588687
-13  1920.0  69.120002  ...  70.530615             70.530615
+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  ...  72.047592             71.588687
+13  1920.0  69.120002  ...  70.530615             70.172588
 14  2048.0  73.908442  ...  77.314362             76.959706
-15  2176.0  83.500614  ...  86.367588             85.632545
+15  2176.0  83.155572  ...  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  ...  81.310171             80.511054
-19  2688.0  83.369354  ...  89.888756             89.254248
-20  2816.0  81.067298  ...  83.552120             82.602666
-21  2944.0  82.237674  ...  82.373605             81.967162
-22  3072.0  81.121923  ...  88.335577             88.473602
-23  3200.0  84.768213  ...  95.238096             94.814812
-24  3328.0  83.905938  ...  84.496824             84.596116
-25  3456.0  78.502012  ...  85.223646             85.858966
-26  3584.0  87.169547  ...  98.483450             90.273669
-27  3712.0  81.548851  ...  86.044224             86.791782
-28  3840.0  84.809814  ...  92.083268             86.197974
-29  3968.0  93.112506  ...  83.980685             91.198760
-30  4096.0  87.495257  ...  93.336389             86.313653
+17  2432.0  71.305746  ...  74.918570             84.877538
+18  2560.0  77.833728  ...  81.310171             81.108913
+19  2688.0  83.737433  ...  89.888756             89.044730
+20  2816.0  79.879498  ...  83.074685             82.446516
+21  2944.0  82.921853  ...  82.646820             83.060049
+22  3072.0  81.707223  ...  87.516392             88.060814
+23  3200.0  80.402009  ...  93.841640             92.219022
+24  3328.0  81.530349  ...  84.895397             84.397770
+25  3456.0  81.932484  ...  85.043848             88.497878
+26  3584.0  86.457107  ...  98.808123             93.176571
+27  3712.0  81.615477  ...  86.716441             87.399253
+28  3840.0  83.027026  ...  90.909991             87.355452
+29  3968.0  88.873953  ...  84.097346             90.054568
+30  4096.0  92.820009  ...  88.534120             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  16.961 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  56.082 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
index 80bb98b3a..d08f8018e 100644
--- a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
+++ b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
@@ -371,7 +371,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
 </dd>
 </dl>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.011 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.130 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">04-low-memory-dropout.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 014263d57..ba6769525 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -194,36 +194,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
           N      Triton       Torch        Apex
-0    1024.0  311.088617   99.497980  311.088617
-1    1536.0  351.085717  133.565214  341.333333
-2    2048.0  423.724127  162.217818  338.979315
+0    1024.0  307.200008   99.096776  307.200008
+1    1536.0  351.085717  133.083026  338.201833
+2    2048.0  423.724127  162.217818  334.367350
 3    2560.0  461.954908  182.857144  330.322572
-4    3072.0  511.999982  191.501303  316.429186
-5    3584.0  554.941930  208.271186  310.527060
+4    3072.0  515.580429  191.501303  320.556515
+5    3584.0  551.384634  208.271186  308.301075
 6    4096.0  568.231237  220.412561  297.890900
-7    4608.0  498.162157  231.849059  290.267724
-8    5120.0  525.128191  242.845844  287.102804
-9    5632.0  538.517949  243.545956  290.683877
-10   6144.0  544.118087  248.661056  286.879370
-11   6656.0  527.207907  256.410903  286.793541
-12   7168.0  507.469040  262.243907  288.160801
-13   7680.0  482.513091  260.707203  277.590365
-14   8192.0  460.440290  268.957600  286.809636
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