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Binary files a/master/_images/sphx_glr_01-vector-add_thumb.png and b/master/_images/sphx_glr_01-vector-add_thumb.png differ
diff --git a/master/_images/sphx_glr_02-fused-softmax_001.png b/master/_images/sphx_glr_02-fused-softmax_001.png
index f184451ef..bdc70d334 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 44040880d..889f2110a 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 dc6117cf1..493c06d25 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 d31a64114..49b88174b 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 f732a337c..9a19e91ab 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 861e3992c..775be3526 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 3d28c2612..ec26edccf 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,11 +234,11 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   38.400001
+    2       16384.0   31.999999   38.400001
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  384.000001
+    6      262144.0  384.000001  341.333321
     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  47.895 seconds)
+   **Total running time of the script:** ( 1 minutes  41.469 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 e93c01b80..7ecac3093 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   186.181817
+    0     256.0  546.133347      546.133347   188.321838
     1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
     3     640.0  706.206879      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.834951
-    94  12288.0  812.429770      415.661740   199.197579
-    95  12416.0  812.498981      412.149375   198.655991
-    96  12544.0  810.925276      412.971190   198.913776
-    97  12672.0  811.007961      411.679167   198.971549
+    93  12160.0  812.359066      406.179533   199.038365
+    94  12288.0  812.429770      415.661740   199.298541
+    95  12416.0  812.498981      412.149375   198.954424
+    96  12544.0  812.566838      412.546756   199.111113
+    97  12672.0  811.007961      412.097543   199.264875
 
     [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  31.309 seconds)
+   **Total running time of the script:** ( 3 minutes  28.831 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 23153e86e..ecb5d685e 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
-    2    512.0  14.563555  ...  16.384000             15.420235
+    0    256.0   2.978909  ...   3.276800              2.978909
+    1    384.0   7.372800  ...   8.507077              8.507077
+    2    512.0  14.563555  ...  15.420235             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  44.566925  ...  48.161033             47.396572
+    7   1152.0  44.566925  ...  48.161033             48.161033
     8   1280.0  51.200001  ...  57.690139             57.690139
     9   1408.0  64.138541  ...  69.009825             68.147202
     10  1536.0  80.430545  ...  81.355034             79.526831
-    11  1664.0  63.372618  ...  63.372618             62.492442
-    12  1792.0  72.983276  ...  73.943582             59.467852
-    13  1920.0  69.467336  ...  71.257735             71.257735
-    14  2048.0  73.584279  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.876193             86.367588
+    11  1664.0  63.372618  ...  63.372618             62.929456
+    12  1792.0  72.983276  ...  73.460287             59.467852
+    13  1920.0  68.776119  ...  71.257735             71.257735
+    14  2048.0  73.908442  ...  78.398206             77.314362
+    15  2176.0  83.500614  ...  87.494120             86.367588
     16  2304.0  68.251065  ...  78.064941             77.307030
-    17  2432.0  71.305746  ...  86.444504             84.621881
-    18  2560.0  78.019048  ...  82.331658             81.108913
-    19  2688.0  83.369354  ...  90.966561             89.464755
-    20  2816.0  79.587973  ...  84.197315             83.074685
-    21  2944.0  81.967162  ...  83.060049             82.784108
-    22  3072.0  82.420822  ...  87.924073             85.019675
-    23  3200.0  84.768213  ...  96.458178             95.238096
-    24  3328.0  83.905938  ...  85.096096             84.298943
-    25  3456.0  82.604067  ...  91.304157             87.442050
-    26  3584.0  87.211821  ...  98.375705             91.656871
-    27  3712.0  84.874549  ...  89.035062             86.044224
-    28  3840.0  84.744825  ...  93.484358             84.484863
-    29  3968.0  92.582651  ...  84.976733             91.472214
-    30  4096.0  86.256445  ...  88.475759             90.230403
+    17  2432.0  71.305746  ...  85.915795             83.864074
+    18  2560.0  78.019048  ...  82.747477             81.715711
+    19  2688.0  83.922689  ...  91.185232             89.254248
+    20  2816.0  80.026067  ...  83.712490             83.074685
+    21  2944.0  82.102191  ...  82.921853             82.784108
+    22  3072.0  81.884457  ...  89.310890             88.612060
+    23  3200.0  83.879425  ...  96.096095             93.704243
+    24  3328.0  84.101981  ...  85.602017             85.806075
+    25  3456.0  81.435930  ...  90.687926             90.994998
+    26  3584.0  87.042978  ...  93.273228             96.683219
+    27  3712.0  85.822459  ...  88.876645             87.094458
+    28  3840.0  81.798814  ...  88.050954             88.971840
+    29  3968.0  92.758598  ...  85.871877             91.301109
+    30  4096.0  86.536250  ...  87.041329             91.304576
 
     [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  18.355 seconds)
+   **Total running time of the script:** ( 6 minutes  32.425 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 61fba4b52..a037620bd 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  585.142849  277.694907  468.114273
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  668.734716  334.367358  520.126988
-    3    2560.0  694.237267  362.477870  512.000013
-    4    3072.0  712.347810  378.092307  496.484863
-    5    3584.0  725.873439  384.859062  455.111115
-    6    4096.0  728.177767  381.023256  442.810792
-    7    4608.0  670.254540  394.267384  426.173427
-    8    5120.0  688.403381  397.669909  426.666652
-    9    5632.0  698.542675  395.228063  409.599997
-    10   6144.0  702.171410  402.885254  411.313806
-    11   6656.0  700.631610  398.861429  400.360920
-    12   7168.0  686.754468  394.116833  387.459443
-    13   7680.0  678.895043  392.587863  386.415087
-    14   8192.0  633.198054  387.786968  369.216905
-    15   8704.0  624.502255  387.922008  379.465939
-    16   9216.0  604.327881  406.214877  383.002605
-    17   9728.0  585.142883  408.524944  383.369452
-    18  10240.0  564.965524  409.600010  382.803739
-    19  10752.0  546.133312  410.577576  381.445676
-    20  11264.0  531.634232  406.826188  374.686074
-    21  11776.0  520.486200  409.599991  376.831982
+    2    2048.0  682.666643  334.367358  520.126988
+    3    2560.0  694.237267  365.714281  518.481028
+    4    3072.0  712.347810  378.092307  501.551037
+    5    3584.0  725.873439  384.859062  451.527536
+    6    4096.0  728.177767  381.023256  455.111095
+    7    4608.0  670.254540  394.267384  421.302872
+    8    5120.0  688.403381  397.669909  424.455959
+    9    5632.0  698.542675  395.228063  411.470331
+    10   6144.0  697.191505  402.885254  411.313806
+    11   6656.0  700.631610  400.360920  400.360920
+    12   7168.0  690.891575  396.844306  387.459443
+    13   7680.0  678.895043  393.846167  386.415087
+    14   8192.0  639.375598  393.609605  372.363633
+    15   8704.0  624.502255  389.005597  380.502740
+    16   9216.0  604.327881  407.337026  383.002605
+    17   9728.0  585.142883  409.599987  383.369452
+    18  10240.0  564.965524  408.578556  382.803739
+    19  10752.0  546.133312  411.559798  381.445676
+    20  11264.0  533.207081  406.826188  373.134567
+    21  11776.0  520.486200  409.599991  377.587162
     22  12288.0  516.031509  413.911572  383.251457
-    23  12800.0  504.433489  409.599981  376.470582
+    23  12800.0  504.433489  410.420828  376.470582
     24  13312.0  494.180982  405.699062  376.976995
-    25  13824.0  481.882350  412.656711  379.389355
-    26  14336.0  471.967074  405.975225  372.969090
-    27  14848.0  461.297068  406.794504  375.304904
-    28  15360.0  454.269882  406.887417  377.511515
-    29  15872.0  447.098578  406.974373  376.225175
+    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  33.735 seconds)
+   **Total running time of the script:** ( 5 minutes  36.947 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 ccacba688..efacddf68 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -390,7 +390,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.075 seconds)
+   **Total running time of the script:** ( 0 minutes  0.077 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 228c0d6c8..297ebf116 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  0.011 seconds)
+   **Total running time of the script:** ( 0 minutes  0.010 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 98c6d068e..d1d076918 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**17:11.392** total execution time for **getting-started_tutorials** files:
+**17:19.771** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:18.355 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:32.425 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:33.735 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:36.947 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:31.309 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:28.831 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:47.895 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.469 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.075 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.077 | 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``)       | 00:00.011 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 0480ab608..deee4a0cc 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -326,11 +326,11 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   38.400001   38.400001
+2       16384.0   31.999999   38.400001
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  384.000001
+6      262144.0  384.000001  341.333321
 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  47.895 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.469 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 7c12bee62..21ff77c69 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  512.000001      546.133347   186.181817
+0     256.0  546.133347      546.133347   188.321838
 1     384.0  614.400016      585.142862   153.600004
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 4     768.0  722.823517      664.216187   162.754967
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 [98 rows x 4 columns]
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@@ -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>
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 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
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diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index c7cdad87f..eaca46ac6 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
@@ -567,42 +567,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.730667  ...   3.276800              3.276800
-1    384.0   7.372800  ...   7.899428              7.899428
-2    512.0  14.563555  ...  16.384000             15.420235
+0    256.0   2.978909  ...   3.276800              2.978909
+1    384.0   7.372800  ...   8.507077              8.507077
+2    512.0  14.563555  ...  15.420235             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
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-7   1152.0  44.566925  ...  48.161033             47.396572
+7   1152.0  44.566925  ...  48.161033             48.161033
 8   1280.0  51.200001  ...  57.690139             57.690139
 9   1408.0  64.138541  ...  69.009825             68.147202
 10  1536.0  80.430545  ...  81.355034             79.526831
-11  1664.0  63.372618  ...  63.372618             62.492442
-12  1792.0  72.983276  ...  73.943582             59.467852
-13  1920.0  69.467336  ...  71.257735             71.257735
-14  2048.0  73.584279  ...  78.398206             77.314362
-15  2176.0  83.500614  ...  87.876193             86.367588
+11  1664.0  63.372618  ...  63.372618             62.929456
+12  1792.0  72.983276  ...  73.460287             59.467852
+13  1920.0  68.776119  ...  71.257735             71.257735
+14  2048.0  73.908442  ...  78.398206             77.314362
+15  2176.0  83.500614  ...  87.494120             86.367588
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-17  2432.0  71.305746  ...  86.444504             84.621881
-18  2560.0  78.019048  ...  82.331658             81.108913
-19  2688.0  83.369354  ...  90.966561             89.464755
-20  2816.0  79.587973  ...  84.197315             83.074685
-21  2944.0  81.967162  ...  83.060049             82.784108
-22  3072.0  82.420822  ...  87.924073             85.019675
-23  3200.0  84.768213  ...  96.458178             95.238096
-24  3328.0  83.905938  ...  85.096096             84.298943
-25  3456.0  82.604067  ...  91.304157             87.442050
-26  3584.0  87.211821  ...  98.375705             91.656871
-27  3712.0  84.874549  ...  89.035062             86.044224
-28  3840.0  84.744825  ...  93.484358             84.484863
-29  3968.0  92.582651  ...  84.976733             91.472214
-30  4096.0  86.256445  ...  88.475759             90.230403
+17  2432.0  71.305746  ...  85.915795             83.864074
+18  2560.0  78.019048  ...  82.747477             81.715711
+19  2688.0  83.922689  ...  91.185232             89.254248
+20  2816.0  80.026067  ...  83.712490             83.074685
+21  2944.0  82.102191  ...  82.921853             82.784108
+22  3072.0  81.884457  ...  89.310890             88.612060
+23  3200.0  83.879425  ...  96.096095             93.704243
+24  3328.0  84.101981  ...  85.602017             85.806075
+25  3456.0  81.435930  ...  90.687926             90.994998
+26  3584.0  87.042978  ...  93.273228             96.683219
+27  3712.0  85.822459  ...  88.876645             87.094458
+28  3840.0  81.798814  ...  88.050954             88.971840
+29  3968.0  92.758598  ...  85.871877             91.301109
+30  4096.0  86.536250  ...  87.041329             91.304576
 
 [31 rows x 5 columns]
 </pre></div>
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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 cb6b3e40a..1fc83ad00 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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-14   8192.0  633.198054  387.786968  369.216905
-15   8704.0  624.502255  387.922008  379.465939
-16   9216.0  604.327881  406.214877  383.002605
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+11   6656.0  700.631610  400.360920  400.360920
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+13   7680.0  678.895043  393.846167  386.415087
+14   8192.0  639.375598  393.609605  372.363633
+15   8704.0  624.502255  389.005597  380.502740
+16   9216.0  604.327881  407.337026  383.002605
+17   9728.0  585.142883  409.599987  383.369452
+18  10240.0  564.965524  408.578556  382.803739
+19  10752.0  546.133312  411.559798  381.445676
+20  11264.0  533.207081  406.826188  373.134567
+21  11776.0  520.486200  409.599991  377.587162
 22  12288.0  516.031509  413.911572  383.251457
-23  12800.0  504.433489  409.599981  376.470582
+23  12800.0  504.433489  410.420828  376.470582
 24  13312.0  494.180982  405.699062  376.976995
-25  13824.0  481.882350  412.656711  379.389355
-26  14336.0  471.967074  405.975225  372.969090
-27  14848.0  461.297068  406.794504  375.304904
-28  15360.0  454.269882  406.887417  377.511515
-29  15872.0  447.098578  406.974373  376.225175
+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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 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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 <p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.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">05-layer-norm.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index dda14229f..99c20fc98 100644
--- a/master/getting-started/tutorials/06-fused-attention.html
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@@ -548,7 +548,7 @@ to download the full example code</p>
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diff --git a/master/getting-started/tutorials/07-libdevice-function.html b/master/getting-started/tutorials/07-libdevice-function.html
index fb23af6bd..e8648e0b7 100644
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+++ b/master/getting-started/tutorials/07-libdevice-function.html
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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 af9e0440d..1d894bea3 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 abf16c530..775c10297 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 22b800914..bbf73a22d 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
@@ -233,18 +233,18 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   31.999999   38.400001
-    3       32768.0   76.800002   76.800002
+    2       16384.0   38.400001   38.400001
+    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  341.333321  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  843.811163
+    13   33554432.0  842.004273  842.004273
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  46.992 seconds)
+   **Total running time of the script:** ( 1 minutes  45.533 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 803b0d4da..2d96ed4d8 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
@@ -286,8 +286,8 @@ 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
+    0     256.0  512.000001      546.133347   186.181817
+    1     384.0  585.142862      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
     3     640.0  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
@@ -295,8 +295,8 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     93  12160.0  814.058574      406.179533   198.530610
     94  12288.0  814.111783      415.661740   198.895304
     95  12416.0  812.498981      412.149375   198.457532
-    96  12544.0  812.566838      412.971190   198.716830
-    97  12672.0  812.633240      412.097543   198.873965
+    96  12544.0  812.566838      412.546756   198.716830
+    97  12672.0  812.633240      412.097543   198.776477
 
     [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  23.548 seconds)
+   **Total running time of the script:** ( 3 minutes  23.377 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 d0e75a3dc..b4e18bb23 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   2.978909              3.276800
+    0    256.0   2.730667  ...   2.978909              2.978909
     1    384.0   7.372800  ...   7.899428              7.899428
-    2    512.0  14.563555  ...  16.384000             16.384000
+    2    512.0  14.563555  ...  16.384000             15.420235
     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
+    6   1024.0  51.150050  ...  52.428801             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
     8   1280.0  51.200001  ...  56.888887             56.888887
     9   1408.0  64.138541  ...  67.305878             67.305878
-    10  1536.0  80.430545  ...  79.526831             78.643199
-    11  1664.0  62.929456  ...  62.061463             62.061463
-    12  1792.0  72.512412  ...  59.310944             71.588687
-    13  1920.0  69.120002  ...  70.530615             70.530615
-    14  2048.0  73.908442  ...  76.959706             76.959706
-    15  2176.0  83.155572  ...  86.367588             85.269692
-    16  2304.0  68.251065  ...  76.809875             76.319081
-    17  2432.0  71.305746  ...  82.388456             84.877538
-    18  2560.0  77.833728  ...  81.310171             81.108913
-    19  2688.0  83.552988  ...  89.044730             89.464755
-    20  2816.0  79.733474  ...  83.712490             82.446516
-    21  2944.0  81.698415  ...  81.832567             82.102191
-    22  3072.0  82.062468  ...  88.612060             89.170242
-    23  3200.0  82.262212  ...  93.704243             94.395283
-    24  3328.0  84.003845  ...  84.101981             83.905938
-    25  3456.0  79.508447  ...  84.775569             91.304157
-    26  3584.0  87.042978  ...  90.365811             97.522120
-    27  3712.0  85.601834  ...  87.208507             87.552452
-    28  3840.0  80.960466  ...  88.900318             90.095313
-    29  3968.0  88.873953  ...  85.271796             87.723894
-    30  4096.0  93.498941  ...  93.336389             86.258181
+    10  1536.0  80.430545  ...  79.526831             79.526831
+    11  1664.0  63.372618  ...  62.492442             62.061463
+    12  1792.0  72.983276  ...  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
+    16  2304.0  68.251065  ...  76.319081             76.319081
+    17  2432.0  71.305746  ...  74.918570             84.877538
+    18  2560.0  78.019048  ...  80.908642             81.108913
+    19  2688.0  83.186525  ...  89.464755             89.254248
+    20  2816.0  79.879498  ...  82.602666             82.602666
+    21  2944.0  82.921853  ...  82.784108             82.921853
+    22  3072.0  81.825298  ...  88.473602             89.310890
+    23  3200.0  82.901554  ...  94.674553             94.117647
+    24  3328.0  83.226931  ...  84.200347             83.905938
+    25  3456.0  80.380430  ...  91.097818             86.596744
+    26  3584.0  84.745889  ...  94.250936             94.947616
+    27  3712.0  81.548851  ...  87.706180             86.754095
+    28  3840.0  82.654712  ...  90.723546             86.030338
+    29  3968.0  91.816356  ...  85.211320             91.130650
+    30  4096.0  86.258181  ...  93.239129             89.240508
 
     [31 rows x 5 columns]
 
@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  24.620 seconds)
+   **Total running time of the script:** ( 5 minutes  26.200 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index 2d90278e0..d685cd0ca 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
@@ -41,33 +41,33 @@ Layer Normalization
     0    1024.0  311.088617   99.096776  311.088617
     1    1536.0  351.085717  133.083026  338.201833
     2    2048.0  423.724127  162.217818  325.509933
-    3    2560.0  461.954908  182.857144  326.808501
+    3    2560.0  461.954908  182.857144  325.079368
     4    3072.0  515.580429  191.501303  317.793096
-    5    3584.0  554.941930  208.271186  308.301075
-    6    4096.0  568.231237  220.412561  294.323343
-    7    4608.0  498.162157  231.849059  291.799469
-    8    5120.0  525.128191  242.845844  288.450695
-    9    5632.0  538.517949  243.326741  290.683877
-    10   6144.0  544.118087  248.661056  285.767458
-    11   6656.0  527.207907  256.000009  286.279570
-    12   7168.0  507.469040  262.243907  288.644296
-    13   7680.0  482.513091  260.707203  273.066660
-    14   8192.0  460.440290  269.326017  286.600589
-    15   8704.0  416.958106  267.815384  284.987724
-    16   9216.0  428.651187  273.066667  289.507855
+    5    3584.0  554.941930  208.271186  309.410081
+    6    4096.0  568.231237  220.412561  298.796351
+    7    4608.0  498.162157  231.849059  286.507772
+    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  261.844750  288.160801
+    13   7680.0  481.253256  260.707203  277.172933
+    14   8192.0  460.440290  268.957600  286.600589
+    15   8704.0  416.958106  267.472468  285.377055
+    16   9216.0  428.651187  272.729961  289.507855
     17   9728.0  439.683593  280.278512  288.950501
     18  10240.0  447.650282  286.433562  290.153487
-    19  10752.0  430.079980  246.699797  290.267711
-    20  11264.0  429.786952  245.091565  285.767446
-    21  11776.0  421.198220  249.447482  288.686414
+    19  10752.0  430.079980  246.229020  290.267711
+    20  11264.0  429.104745  245.091565  285.767446
+    21  11776.0  421.198220  249.007923  288.539048
     22  12288.0  420.102570  254.453844  295.207195
-    23  12800.0  415.696898  253.465340  288.180121
-    24  13312.0  412.242569  252.759501  290.179836
+    23  12800.0  415.135142  253.256381  289.811310
+    24  13312.0  412.242569  252.559690  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  257.108233  289.246765
-    28  15360.0  374.634130  257.610071  286.433562
-    29  15872.0  367.336555  262.708969  291.229369
+    26  14336.0  397.761846  254.673567  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  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.443 seconds)
+   **Total running time of the script:** ( 2 minutes  12.171 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 c7c440312..aab6334b6 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
 =================
-**12:47.614** total execution time for **getting-started_tutorials** files:
+**12:47.292** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.620 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:26.200 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.548 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.377 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.443 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.171 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.992 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.533 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.011 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/v1.1.2/getting-started/tutorials/01-vector-add.html b/v1.1.2/getting-started/tutorials/01-vector-add.html
index 027e10ba7..f9a2ca1a9 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,23 +323,23 @@ for different problem sizes.</p>
            size      Triton       Torch
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 1        8192.0   19.200000   19.200000
-2       16384.0   31.999999   38.400001
-3       32768.0   76.800002   76.800002
+2       16384.0   38.400001   38.400001
+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  341.333321  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
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 11    8388608.0  812.429770  812.429770
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+13   33554432.0  842.004273  842.004273
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.992 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.533 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 122393485..b58520db0 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,8 +374,8 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   188.321838
-1     384.0  614.400016      585.142862   153.600004
+0     256.0  512.000001      546.133347   186.181817
+1     384.0  585.142862      585.142862   153.600004
 2     512.0  655.360017      606.814814   154.566038
 3     640.0  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
@@ -383,8 +383,8 @@ We will then compare its performance against (1) <code class="code docutils lite
 93  12160.0  814.058574      406.179533   198.530610
 94  12288.0  814.111783      415.661740   198.895304
 95  12416.0  812.498981      412.149375   198.457532
-96  12544.0  812.566838      412.971190   198.716830
-97  12672.0  812.633240      412.097543   198.873965
+96  12544.0  812.566838      412.546756   198.716830
+97  12672.0  812.633240      412.097543   198.776477
 
 [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  23.548 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.377 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 6a2adf5d0..d3c029ee0 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,42 +568,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.978909  ...   2.978909              3.276800
+0    256.0   2.730667  ...   2.978909              2.978909
 1    384.0   7.372800  ...   7.899428              7.899428
-2    512.0  14.563555  ...  16.384000             16.384000
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 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
+6   1024.0  51.150050  ...  52.428801             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
 8   1280.0  51.200001  ...  56.888887             56.888887
 9   1408.0  64.138541  ...  67.305878             67.305878
-10  1536.0  80.430545  ...  79.526831             78.643199
-11  1664.0  62.929456  ...  62.061463             62.061463
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-14  2048.0  73.908442  ...  76.959706             76.959706
-15  2176.0  83.155572  ...  86.367588             85.269692
-16  2304.0  68.251065  ...  76.809875             76.319081
-17  2432.0  71.305746  ...  82.388456             84.877538
-18  2560.0  77.833728  ...  81.310171             81.108913
-19  2688.0  83.552988  ...  89.044730             89.464755
-20  2816.0  79.733474  ...  83.712490             82.446516
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-23  3200.0  82.262212  ...  93.704243             94.395283
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-26  3584.0  87.042978  ...  90.365811             97.522120
-27  3712.0  85.601834  ...  87.208507             87.552452
-28  3840.0  80.960466  ...  88.900318             90.095313
-29  3968.0  88.873953  ...  85.271796             87.723894
-30  4096.0  93.498941  ...  93.336389             86.258181
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+11  1664.0  63.372618  ...  62.492442             62.061463
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+15  2176.0  83.500614  ...  86.367588             85.632545
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+17  2432.0  71.305746  ...  74.918570             84.877538
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+23  3200.0  82.901554  ...  94.674553             94.117647
+24  3328.0  83.226931  ...  84.200347             83.905938
+25  3456.0  80.380430  ...  91.097818             86.596744
+26  3584.0  84.745889  ...  94.250936             94.947616
+27  3712.0  81.548851  ...  87.706180             86.754095
+28  3840.0  82.654712  ...  90.723546             86.030338
+29  3968.0  91.816356  ...  85.211320             91.130650
+30  4096.0  86.258181  ...  93.239129             89.240508
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  24.620 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  26.200 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 6060c238d..1dc801cdf 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -197,33 +197,33 @@ to download the full example code</p>
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