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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 44d48c45a..a73ece81c 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 92c434658..ffb0fff08 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_001.png b/master/_images/sphx_glr_03-matrix-multiplication_001.png
index 988b238bc..bdb49b4d5 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png
index 03f0c010d..7e039795b 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 6cdbb1542..42bc642ef 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 d079849f5..6539e3cec 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 5e6a05ae5..7a3db5bff 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,10 +235,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   76.800002
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  341.333321
+    6      262144.0  384.000001  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
@@ -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  34.873 seconds)
+   **Total running time of the script:** ( 1 minutes  50.221 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 2523c8aef..619ced0ea 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
+    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   163.839992
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.755985   198.834951
-    94  12288.0  812.429770      415.661740   199.096718
-    95  12416.0  812.498981      411.722274   198.755369
-    96  12544.0  810.925276      413.396498   199.012395
-    97  12672.0  812.633240      412.097543   199.167004
+    93  12160.0  812.359066      406.179533   198.530610
+    94  12288.0  812.429770      416.101597   198.895304
+    95  12416.0  812.498981      412.149375   198.556711
+    96  12544.0  810.925276      412.971190   198.716830
+    97  12672.0  812.633240      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  27.507 seconds)
+   **Total running time of the script:** ( 3 minutes  32.174 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 d7b980e05..7820634d5 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   3.276800              3.276800
-    1    384.0   7.372800  ...   7.899428              7.899428
+    0    256.0   2.730667  ...   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  51.150050  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  47.396572             47.396572
+    7   1152.0  45.242181  ...  48.161033             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  68.147202             67.305878
+    9   1408.0  64.138541  ...  69.009825             67.305878
     10  1536.0  80.430545  ...  81.355034             79.526831
-    11  1664.0  62.492442  ...  63.372618             62.492442
+    11  1664.0  62.929456  ...  63.372618             62.492442
     12  1792.0  72.512412  ...  73.460287             59.467852
     13  1920.0  69.120002  ...  71.626943             71.257735
-    14  2048.0  73.584279  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.876193             86.367588
-    16  2304.0  68.251065  ...  78.064941             77.307030
-    17  2432.0  71.305746  ...  86.179335             85.653855
-    18  2560.0  77.833728  ...  82.331658             81.920002
-    19  2688.0  83.552988  ...  91.404957             89.464755
-    20  2816.0  79.879498  ...  84.360174             83.873477
-    21  2944.0  82.237674  ...  81.431424             83.337844
-    22  3072.0  81.589488  ...  89.030036             88.612060
-    23  3200.0  84.993363  ...  96.822991             95.808380
-    24  3328.0  82.891535  ...  85.602017             84.101981
-    25  3456.0  80.300370  ...  91.771848             86.596744
-    26  3584.0  85.633710  ...  90.458141             95.451583
-    27  3712.0  83.247783  ...  86.829501             87.552452
-    28  3840.0  81.019778  ...  88.971840             91.853823
-    29  3968.0  85.753071  ...  85.600795             89.988156
-    30  4096.0  88.651075  ...  88.768339             89.299883
+    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             77.307030
+    17  2432.0  71.305746  ...  86.711310             85.393507
+    18  2560.0  77.833728  ...  82.125311             81.512437
+    19  2688.0  83.922689  ...  90.316801             90.316801
+    20  2816.0  79.733474  ...  84.360174             83.074685
+    21  2944.0  81.967162  ...  83.198715             82.373605
+    22  3072.0  82.241254  ...  89.593522             88.750943
+    23  3200.0  84.544253  ...  96.969694             95.238096
+    24  3328.0  83.034941  ...  85.398926             84.298943
+    25  3456.0  82.015834  ...  91.511426             90.790053
+    26  3584.0  85.715344  ...  94.349836             97.734120
+    27  3712.0  85.455380  ...  86.940496             87.284705
+    28  3840.0  83.120631  ...  92.778524             85.629632
+    29  3968.0  90.791620  ...  86.266483             90.054568
+    30  4096.0  91.678778  ...  92.852115             88.330190
 
     [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  20.627 seconds)
+   **Total running time of the script:** ( 7 minutes  4.446 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..3072fe438 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  0.284 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 5939f6c63..e55d236e4 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  585.142849  277.694907  481.882344
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  668.734716  337.814445  520.126988
-    3    2560.0  694.237267  362.477870  518.481028
-    4    3072.0  702.171410  375.206126  501.551037
+    2    2048.0  668.734716  334.367358  520.126988
+    3    2560.0  694.237267  365.714281  512.000013
+    4    3072.0  712.347810  378.092307  501.551037
     5    3584.0  725.873439  384.859062  455.111115
-    6    4096.0  728.177767  383.251446  451.972420
-    7    4608.0  670.254540  396.387087  421.302872
+    6    4096.0  728.177767  381.023256  455.111095
+    7    4608.0  670.254540  396.387087  428.651163
     8    5120.0  688.403381  397.669909  422.268057
-    9    5632.0  704.000002  398.725657  413.357796
-    10   6144.0  702.171410  402.885254  411.313806
-    11   6656.0  700.631610  400.360920  400.360920
-    12   7168.0  690.891575  383.571898  381.023265
-    13   7680.0  678.895043  392.587863  386.415087
-    14   8192.0  636.271854  390.095241  375.564460
-    15   8704.0  627.315309  392.292962  380.502740
-    16   9216.0  609.322328  403.989025  381.023249
-    17   9728.0  587.350922  408.524944  382.427505
-    18  10240.0  566.920437  408.578556  382.803739
-    19  10752.0  547.872604  412.546760  379.761601
-    20  11264.0  531.634232  396.096702  369.311483
-    21  11776.0  521.927959  408.711507  378.345375
-    22  12288.0  514.007840  413.911572  383.251457
-    23  12800.0  504.433489  410.420828  377.163903
-    24  13312.0  494.180982  404.159395  376.310952
-    25  13824.0  481.882350  409.600016  378.739711
-    26  14336.0  471.967074  400.307157  369.961287
-    27  14848.0  461.297068  404.027214  375.304904
+    9    5632.0  704.000002  396.969169  417.185184
+    10   6144.0  697.191505  402.885254  411.313806
+    11   6656.0  705.271522  400.360920  400.360920
+    12   7168.0  690.891575  396.844306  387.459443
+    13   7680.0  678.895043  392.587863  387.634072
+    14   8192.0  633.198054  393.609605  371.308771
+    15   8704.0  627.315309  389.005597  380.502740
+    16   9216.0  606.814809  407.337026  383.999986
+    17   9728.0  587.350922  409.599987  383.369452
+    18  10240.0  564.965524  408.578556  382.803739
+    19  10752.0  547.872604  411.559798  381.445676
+    20  11264.0  533.207081  406.826188  373.134567
+    21  11776.0  520.486200  409.599991  377.587162
+    22  12288.0  514.680630  414.784810  383.251457
+    23  12800.0  504.433489  410.420828  376.470582
+    24  13312.0  494.180982  405.699062  376.310952
+    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  447.098578  408.940410  376.783377
+    29  15872.0  447.098578  406.974373  376.225175
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  29.729 seconds)
+   **Total running time of the script:** ( 5 minutes  24.707 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
diff --git a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
index 4fef02825..b1397b3d3 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.072 seconds)
+   **Total running time of the script:** ( 0 minutes  0.073 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
index 297ebf116..09b1a0d13 100644
--- a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
+++ b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.010 seconds)
+   **Total running time of the script:** ( 0 minutes  0.267 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.py:
diff --git a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index 744a392d0..93a8dbfb9 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**16:52.830** total execution time for **getting-started_tutorials** files:
+**17:52.172** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:20.627 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:04.446 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:29.729 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:24.707 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:27.507 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.174 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:34.873 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:50.221 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.284 | 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_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.267 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.073 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 0a4a20324..6d7d31136 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -327,10 +327,10 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   76.800002
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  341.333321
+6      262144.0  384.000001  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
@@ -342,7 +342,7 @@ 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  34.873 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  50.221 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 f56a295d2..ed3008f5b 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)
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-1     384.0  614.400016      585.142862   151.703707
+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   163.839992
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.755985   198.834951
-94  12288.0  812.429770      415.661740   199.096718
-95  12416.0  812.498981      411.722274   198.755369
-96  12544.0  810.925276      413.396498   199.012395
-97  12672.0  812.633240      412.097543   199.167004
+93  12160.0  812.359066      406.179533   198.530610
+94  12288.0  812.429770      416.101597   198.895304
+95  12416.0  812.498981      412.149375   198.556711
+96  12544.0  810.925276      412.971190   198.716830
+97  12672.0  812.633240      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>
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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 3b98315b4..8e070b2e1 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
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 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
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-1    384.0   7.372800  ...   7.899428              7.899428
+0    256.0   2.730667  ...   2.978909              3.276800
+1    384.0   7.372800  ...   8.507077              8.507077
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 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  35.389441             34.028308
 5    896.0  39.025776  ...  40.140799             39.025776
 6   1024.0  51.150050  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  47.396572             47.396572
+7   1152.0  45.242181  ...  48.161033             47.396572
 8   1280.0  51.200001  ...  57.690139             57.690139
-9   1408.0  64.138541  ...  68.147202             67.305878
+9   1408.0  64.138541  ...  69.009825             67.305878
 10  1536.0  80.430545  ...  81.355034             79.526831
-11  1664.0  62.492442  ...  63.372618             62.492442
+11  1664.0  62.929456  ...  63.372618             62.492442
 12  1792.0  72.512412  ...  73.460287             59.467852
 13  1920.0  69.120002  ...  71.626943             71.257735
-14  2048.0  73.584279  ...  78.398206             77.314362
-15  2176.0  83.500614  ...  87.876193             86.367588
-16  2304.0  68.251065  ...  78.064941             77.307030
-17  2432.0  71.305746  ...  86.179335             85.653855
-18  2560.0  77.833728  ...  82.331658             81.920002
-19  2688.0  83.552988  ...  91.404957             89.464755
-20  2816.0  79.879498  ...  84.360174             83.873477
-21  2944.0  82.237674  ...  81.431424             83.337844
-22  3072.0  81.589488  ...  89.030036             88.612060
-23  3200.0  84.993363  ...  96.822991             95.808380
-24  3328.0  82.891535  ...  85.602017             84.101981
-25  3456.0  80.300370  ...  91.771848             86.596744
-26  3584.0  85.633710  ...  90.458141             95.451583
-27  3712.0  83.247783  ...  86.829501             87.552452
-28  3840.0  81.019778  ...  88.971840             91.853823
-29  3968.0  85.753071  ...  85.600795             89.988156
-30  4096.0  88.651075  ...  88.768339             89.299883
+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             77.307030
+17  2432.0  71.305746  ...  86.711310             85.393507
+18  2560.0  77.833728  ...  82.125311             81.512437
+19  2688.0  83.922689  ...  90.316801             90.316801
+20  2816.0  79.733474  ...  84.360174             83.074685
+21  2944.0  81.967162  ...  83.198715             82.373605
+22  3072.0  82.241254  ...  89.593522             88.750943
+23  3200.0  84.544253  ...  96.969694             95.238096
+24  3328.0  83.034941  ...  85.398926             84.298943
+25  3456.0  82.015834  ...  91.511426             90.790053
+26  3584.0  85.715344  ...  94.349836             97.734120
+27  3712.0  85.455380  ...  86.940496             87.284705
+28  3840.0  83.120631  ...  92.778524             85.629632
+29  3968.0  90.791620  ...  86.266483             90.054568
+30  4096.0  91.678778  ...  92.852115             88.330190
 
 [31 rows x 5 columns]
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 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/04-low-memory-dropout.html b/master/getting-started/tutorials/04-low-memory-dropout.html
index ff3f3aec8..807cf0f0c 100644
--- a/master/getting-started/tutorials/04-low-memory-dropout.html
+++ b/master/getting-started/tutorials/04-low-memory-dropout.html
@@ -374,7 +374,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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diff --git a/master/getting-started/tutorials/05-layer-norm.html b/master/getting-started/tutorials/05-layer-norm.html
index a272ac0b1..1eaa6fd5c 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
+++ b/master/getting-started/tutorials/05-layer-norm.html
@@ -198,34 +198,34 @@ to download the full example code</p>
           N      Triton       Torch        Apex
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 1    1536.0  630.153868  323.368435  511.999982
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-4    3072.0  702.171410  375.206126  501.551037
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+4    3072.0  712.347810  378.092307  501.551037
 5    3584.0  725.873439  384.859062  455.111115
-6    4096.0  728.177767  383.251446  451.972420
-7    4608.0  670.254540  396.387087  421.302872
+6    4096.0  728.177767  381.023256  455.111095
+7    4608.0  670.254540  396.387087  428.651163
 8    5120.0  688.403381  397.669909  422.268057
-9    5632.0  704.000002  398.725657  413.357796
-10   6144.0  702.171410  402.885254  411.313806
-11   6656.0  700.631610  400.360920  400.360920
-12   7168.0  690.891575  383.571898  381.023265
-13   7680.0  678.895043  392.587863  386.415087
-14   8192.0  636.271854  390.095241  375.564460
-15   8704.0  627.315309  392.292962  380.502740
-16   9216.0  609.322328  403.989025  381.023249
-17   9728.0  587.350922  408.524944  382.427505
-18  10240.0  566.920437  408.578556  382.803739
-19  10752.0  547.872604  412.546760  379.761601
-20  11264.0  531.634232  396.096702  369.311483
-21  11776.0  521.927959  408.711507  378.345375
-22  12288.0  514.007840  413.911572  383.251457
-23  12800.0  504.433489  410.420828  377.163903
-24  13312.0  494.180982  404.159395  376.310952
-25  13824.0  481.882350  409.600016  378.739711
-26  14336.0  471.967074  400.307157  369.961287
-27  14848.0  461.297068  404.027214  375.304904
+9    5632.0  704.000002  396.969169  417.185184
+10   6144.0  697.191505  402.885254  411.313806
+11   6656.0  705.271522  400.360920  400.360920
+12   7168.0  690.891575  396.844306  387.459443
+13   7680.0  678.895043  392.587863  387.634072
+14   8192.0  633.198054  393.609605  371.308771
+15   8704.0  627.315309  389.005597  380.502740
+16   9216.0  606.814809  407.337026  383.999986
+17   9728.0  587.350922  409.599987  383.369452
+18  10240.0  564.965524  408.578556  382.803739
+19  10752.0  547.872604  411.559798  381.445676
+20  11264.0  533.207081  406.826188  373.134567
+21  11776.0  520.486200  409.599991  377.587162
+22  12288.0  514.680630  414.784810  383.251457
+23  12800.0  504.433489  410.420828  376.470582
+24  13312.0  494.180982  405.699062  376.310952
+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
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-29  15872.0  447.098578  408.940410  376.783377
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diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index 118324994..b3b671026 100644
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diff --git a/master/searchindex.js b/master/searchindex.js
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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 66fc96204..698d3d721 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 e0adb525d..7ef00ad01 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 b44795042..658bb3d26 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
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  41.742 seconds)
+   **Total running time of the script:** ( 1 minutes  44.952 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 61b5fdb66..1ac0f9e1e 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
@@ -287,16 +287,16 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
     0     256.0  512.000001      546.133347   188.321838
-    1     384.0  614.400016      585.142862   153.600004
+    1     384.0  585.142862      585.142862   151.703707
     2     512.0  655.360017      606.814814   154.566038
-    3     640.0  682.666684      640.000002   160.000000
-    4     768.0  722.823517      664.216187   162.754967
+    3     640.0  682.666684      640.000002   158.759699
+    4     768.0  722.823517      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.834951
-    94  12288.0  814.111783      416.101597   199.197579
-    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
+    93  12160.0  812.359066      406.179533   198.631953
+    94  12288.0  814.111783      415.661740   198.995960
+    95  12416.0  812.498981      411.296057   198.556711
+    96  12544.0  812.566838      412.971190   198.766042
+    97  12672.0  812.633240      411.679167   198.971549
 
     [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  23.052 seconds)
+   **Total running time of the script:** ( 3 minutes  22.346 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 00998e39c..9cbbb1de5 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
@@ -472,27 +472,27 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     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             79.526831
+    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  83.155572  ...  86.367588             85.632545
-    16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  74.918570             84.115159
-    18  2560.0  78.019048  ...  81.512437             80.908642
-    19  2688.0  83.186525  ...  89.464755             90.102270
-    20  2816.0  79.879498  ...  83.552120             82.602666
-    21  2944.0  81.100130  ...  82.102191             82.102191
-    22  3072.0  82.661468  ...  87.313963             86.579673
-    23  3200.0  84.656085  ...  95.952022             94.604578
-    24  3328.0  82.891535  ...  84.397770             84.003845
-    25  3456.0  81.849303  ...  91.511426             90.994998
-    26  3584.0  85.308722  ...  90.458141             96.579370
-    27  3712.0  85.528545  ...  88.015279             86.641231
-    28  3840.0  81.079177  ...  84.290672             91.209894
-    29  3968.0  85.871877  ...  91.130650             83.406657
-    30  4096.0  93.142072  ...  91.428970             89.299883
+    12  1792.0  72.512412  ...  71.588687             71.588687
+    13  1920.0  69.120002  ...  70.530615             70.530615
+    14  2048.0  73.908442  ...  76.959706             76.959706
+    15  2176.0  83.500614  ...  85.998493             85.269692
+    16  2304.0  68.446623  ...  76.319081             76.563695
+    17  2432.0  71.305746  ...  74.918570             84.367759
+    18  2560.0  78.019048  ...  81.310171             81.108913
+    19  2688.0  83.461070  ...  89.044730             89.888756
+    20  2816.0  83.392363  ...  81.981598             82.602666
+    21  2944.0  81.967162  ...  80.251257             81.967162
+    22  3072.0  81.825298  ...  88.060814             87.924073
+    23  3200.0  84.656085  ...  95.665176             95.238096
+    24  3328.0  83.226931  ...  84.795401             84.596116
+    25  3456.0  82.266905  ...  91.355888             90.841203
+    26  3584.0  83.876297  ...  93.661869             86.958797
+    27  3712.0  84.946722  ...  85.970176             87.552452
+    28  3840.0  82.747472  ...  86.265212             91.625518
+    29  3968.0  86.114283  ...  90.994735             83.807647
+    30  4096.0  92.563952  ...  85.434583             85.271746
 
     [31 rows x 5 columns]
 
@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  23.909 seconds)
+   **Total running time of the script:** ( 5 minutes  59.817 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..63f0498f7 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  0.114 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 2aa3ef882..9e74d8df4 100644
--- a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  311.088617   99.096776  311.088617
-    1    1536.0  351.085717  133.083026  341.333333
-    2    2048.0  423.724127  162.217818  336.657521
-    3    2560.0  461.954908  182.857144  330.322572
-    4    3072.0  515.580429  191.501303  320.556515
-    5    3584.0  554.941930  208.271186  308.301075
-    6    4096.0  568.231237  220.412561  297.890900
-    7    4608.0  498.162157  231.849059  287.251954
-    8    5120.0  525.128191  242.845844  283.787523
-    9    5632.0  538.517949  243.107920  291.310338
-    10   6144.0  544.118087  248.661056  286.322318
-    11   6656.0  527.207907  256.000009  286.793541
-    12   7168.0  505.976473  262.243907  288.644296
-    13   7680.0  481.253256  260.707203  276.756754
-    14   8192.0  460.440290  269.326017  287.018988
-    15   8704.0  416.958106  267.472468  284.987724
-    16   9216.0  428.651187  273.066667  289.507855
-    17   9728.0  438.857162  280.615388  288.950501
-    18  10240.0  447.650282  286.767793  290.153487
-    19  10752.0  430.079980  246.699797  290.267711
-    20  11264.0  429.786952  245.091565  285.767446
-    21  11776.0  421.826879  249.447482  288.686414
-    22  12288.0  420.102570  254.453844  294.911986
-    23  12800.0  415.696898  253.465340  290.084977
-    24  13312.0  412.242569  252.759501  290.179836
-    25  13824.0  405.098897  257.190689  292.829653
-    26  14336.0  397.761846  254.862216  286.481278
-    27  14848.0  384.414233  257.293872  289.246765
-    28  15360.0  374.253788  257.790220  288.000007
-    29  15872.0  367.336555  262.890274  291.229369
+    0    1024.0  311.088617   99.497980  303.407414
+    1    1536.0  351.085717  134.540150  341.333333
+    2    2048.0  423.724127  161.684218  325.509933
+    3    2560.0  465.454542  182.857144  332.108113
+    4    3072.0  515.580429  191.501303  315.076914
+    5    3584.0  551.384634  207.768111  308.301075
+    6    4096.0  568.231237  220.412561  300.623865
+    7    4608.0  500.416301  231.849059  292.571431
+    8    5120.0  525.128191  242.845844  288.450695
+    9    5632.0  542.843364  242.236559  287.591490
+    10   6144.0  548.163546  249.925419  288.000001
+    11   6656.0  537.858601  254.369423  284.748652
+    12   7168.0  510.480705  254.862216  278.368936
+    13   7680.0  482.513091  262.190612  276.341823
+    14   8192.0  462.607053  267.130429  280.068380
+    15   8704.0  416.127506  265.096445  283.056921
+    16   9216.0  429.483477  272.394084  288.375482
+    17   9728.0  436.396262  281.630872  290.027323
+    18  10240.0  446.025405  285.435547  288.789653
+    19  10752.0  432.966444  246.935876  290.922209
+    20  11264.0  429.104745  244.869560  287.285864
+    21  11776.0  422.457417  249.667843  288.981596
+    22  12288.0  420.102570  254.234486  294.617366
+    23  12800.0  416.824953  253.256381  288.180121
+    24  13312.0  411.181478  250.972500  288.346556
+    25  13824.0  405.594132  257.091040  292.056329
+    26  14336.0  400.074432  255.051144  287.678923
+    27  14848.0  383.999990  255.816222  287.380642
+    28  15360.0  373.495460  259.422943  286.656296
+    29  15872.0  370.192407  262.347108  290.120338
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.919 seconds)
+   **Total running time of the script:** ( 2 minutes  10.468 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 30bf534f0..45728b4b0 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
 =================
-**12:40.633** total execution time for **getting-started_tutorials** files:
+**13:17.697** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.909 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:59.817 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.052 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.346 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.919 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:10.468 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.742 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.952 | 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``)       | 00:00.114 | 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 458b4fcb9..c0401e659 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -339,7 +339,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.742 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  44.952 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 179eafdbf..d273f2130 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -375,16 +375,16 @@ We will then compare its performance against (1) <code class="code docutils lite
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
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-1     384.0  614.400016      585.142862   153.600004
+1     384.0  585.142862      585.142862   151.703707
 2     512.0  655.360017      606.814814   154.566038
-3     640.0  682.666684      640.000002   160.000000
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+4     768.0  722.823517      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.834951
-94  12288.0  814.111783      416.101597   199.197579
-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
+93  12160.0  812.359066      406.179533   198.631953
+94  12288.0  814.111783      415.661740   198.995960
+95  12416.0  812.498981      411.296057   198.556711
+96  12544.0  812.566838      412.971190   198.766042
+97  12672.0  812.633240      411.679167   198.971549
 
 [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  23.052 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.346 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 509a23ab9..51ec5a12f 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -578,32 +578,32 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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 8   1280.0  51.200001  ...  56.888887             56.109587
 9   1408.0  64.138541  ...  67.305878             66.485074
-10  1536.0  80.430545  ...  79.526831             79.526831
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-12  1792.0  72.512412  ...  72.047592             71.588687
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-16  2304.0  68.251065  ...  76.809875             76.563695
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 [31 rows x 5 columns]
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 </div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  59.817 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">
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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..1be593830 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>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.114 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 02c89439c..4e8aaafaa 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:
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