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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 0ff43fe9d..b1b255e68 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 fa5f0aeed..e0bd464c1 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 2f628b596..f92fc62cb 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 5ed216bd6..dbe242b9d 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 44b1cdd3f..531956e5d 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 60f191b39..03bae916a 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 4372be1f9..082682d88 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   31.999999   31.999999
+    2       16384.0   38.400001   38.400001
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  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  47.038 seconds)
+   **Total running time of the script:** ( 1 minutes  40.502 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 d027ac6ad..218901431 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   184.089886
-    1     384.0  614.400016      585.142862   153.600004
+    0     256.0  546.133347      546.133347   186.181817
+    1     384.0  614.400016      585.142862   151.703707
     2     512.0  655.360017      606.814814   154.566038
-    3     640.0  706.206879      640.000002   159.377446
+    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      416.101597   199.096718
-    95  12416.0  812.498981      412.149375   198.755369
-    96  12544.0  810.925276      412.546756   199.012395
-    97  12672.0  811.007961      412.097543   199.167004
+    93  12160.0  812.359066      406.179533   199.140227
+    94  12288.0  812.429770      415.661740   199.399583
+    95  12416.0  812.498981      411.296057   198.954424
+    96  12544.0  810.925276      412.971190   199.209928
+    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  30.681 seconds)
+   **Total running time of the script:** ( 3 minutes  30.017 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 c2754d7fc..3c8f55879 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  ...   8.507077              8.507077
+    0    256.0   2.730667  ...   2.978909              2.978909
+    1    384.0   7.372800  ...   8.507077              7.899428
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  35.389441             34.028308
     5    896.0  39.025776  ...  40.140799             39.025776
     6   1024.0  49.932191  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  48.161033             47.396572
+    7   1152.0  45.242181  ...  47.775747             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  69.009825             68.147202
+    9   1408.0  64.138541  ...  68.147202             67.305878
     10  1536.0  80.430545  ...  81.355034             79.526831
     11  1664.0  62.929456  ...  63.372618             62.492442
     12  1792.0  72.512412  ...  73.460287             59.467852
-    13  1920.0  69.120002  ...  71.626943             71.257735
+    13  1920.0  68.776119  ...  71.257735             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.876193             86.367588
-    16  2304.0  68.446623  ...  77.558029             77.307030
-    17  2432.0  71.305746  ...  86.711310             85.653855
-    18  2560.0  77.833728  ...  82.331658             81.715711
-    19  2688.0  83.369354  ...  90.532356             89.044730
-    20  2816.0  80.026067  ...  84.197315             83.074685
-    21  2944.0  79.993635  ...  83.060049             81.564701
-    22  3072.0  82.301023  ...  88.473602             84.638425
-    23  3200.0  84.321474  ...  96.530922             95.380032
-    24  3328.0  83.130825  ...  85.703924             81.162679
-    25  3456.0  82.688790  ...  86.318594             89.281913
-    26  3584.0  86.958797  ...  98.375705             98.591437
-    27  3712.0  84.230479  ...  88.326564             87.976522
-    28  3840.0  80.960466  ...  84.842346             89.839159
-    29  3968.0  87.004591  ...  92.372393             83.922926
-    30  4096.0  93.206754  ...  82.393504             87.154371
+    15  2176.0  83.155572  ...  87.876193             86.367588
+    16  2304.0  68.446623  ...  77.810656             77.307030
+    17  2432.0  71.305746  ...  86.711310             83.864074
+    18  2560.0  78.019048  ...  82.747477             81.920002
+    19  2688.0  83.737433  ...  90.316801             89.044730
+    20  2816.0  79.587973  ...  83.312714             83.233226
+    21  2944.0  81.967162  ...  82.784108             82.784108
+    22  3072.0  78.534123  ...  89.170242             85.792579
+    23  3200.0  79.701121  ...  96.822991             95.096582
+    24  3328.0  82.843841  ...  85.096096             81.530349
+    25  3456.0  80.945348  ...  89.579522             81.352463
+    26  3584.0  87.466332  ...  97.416461             98.699661
+    27  3712.0  82.559787  ...  88.955779             88.015279
+    28  3840.0  83.497171  ...  89.043476             89.912191
+    29  3968.0  87.976885  ...  87.315873             90.121079
+    30  4096.0  87.552332  ...  85.460934             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  41.839 seconds)
+   **Total running time of the script:** ( 7 minutes  0.527 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..b834e2cca 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  0.292 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 2fbe5d3c1..a235a8661 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm:
               N      Triton       Torch        Apex
-    0    1024.0  585.142849  277.694907  468.114273
+    0    1024.0  585.142849  277.694907  481.882344
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  682.666643  334.367358  520.126988
-    3    2560.0  694.237267  365.714281  512.000013
-    4    3072.0  712.347810  378.092307  491.520012
-    5    3584.0  725.873439  384.859062  451.527536
-    6    4096.0  728.177767  381.023256  445.823133
-    7    4608.0  670.254540  394.267384  423.724136
-    8    5120.0  688.403381  397.669909  424.455959
-    9    5632.0  698.542675  395.228063  411.470331
-    10   6144.0  702.171410  402.885254  411.313806
-    11   6656.0  700.631610  398.861429  400.360920
-    12   7168.0  690.891575  396.844306  387.459443
-    13   7680.0  678.895043  393.846167  387.634072
-    14   8192.0  636.271854  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  513.336807  413.911572  383.251457
-    23  12800.0  504.433489  410.420828  376.470582
-    24  13312.0  494.180982  405.699062  376.976995
-    25  13824.0  482.934503  411.888257  379.389355
-    26  14336.0  471.967074  406.695045  374.185964
-    27  14848.0  461.297068  408.192434  375.304904
-    28  15360.0  454.269882  406.214870  378.092307
-    29  15872.0  447.098578  406.974373  376.783377
+    2    2048.0  682.666643  337.814445  520.126988
+    3    2560.0  694.237267  362.477870  518.481028
+    4    3072.0  712.347810  378.092307  501.551037
+    5    3584.0  725.873439  384.859062  458.751978
+    6    4096.0  728.177767  381.023256  455.111095
+    7    4608.0  670.254540  396.387087  426.173427
+    8    5120.0  688.403381  397.669909  422.268057
+    9    5632.0  704.000002  396.969169  413.357796
+    10   6144.0  697.191505  402.885254  409.600010
+    11   6656.0  705.271522  400.360920  400.360920
+    12   7168.0  690.891575  392.767108  386.154893
+    13   7680.0  678.895043  392.587863  386.415087
+    14   8192.0  636.271854  391.259714  373.424507
+    15   8704.0  627.315309  390.095225  380.502740
+    16   9216.0  606.814809  406.214877  383.999986
+    17   9728.0  587.350922  408.524944  382.427505
+    18  10240.0  566.920437  408.578556  382.803739
+    19  10752.0  546.133312  410.577576  380.601764
+    20  11264.0  533.207081  396.969169  371.595879
+    21  11776.0  520.486200  409.599991  378.345375
+    22  12288.0  514.680630  413.042029  383.251457
+    23  12800.0  504.433489  410.420828  377.163903
+    24  13312.0  494.180982  406.473303  377.645399
+    25  13824.0  482.934503  410.359948  378.739711
+    26  14336.0  471.967074  398.222208  373.576536
+    27  14848.0  461.297068  404.027214  374.712936
+    28  15360.0  454.269882  406.887417  378.092307
+    29  15872.0  447.098578  408.940410  377.343238
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  40.160 seconds)
+   **Total running time of the script:** ( 5 minutes  33.832 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
diff --git a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
index b1397b3d3..4fef02825 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.073 seconds)
+   **Total running time of the script:** ( 0 minutes  0.072 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 b183968b2..5905127a2 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  0.013 seconds)
+   **Total running time of the script:** ( 0 minutes  0.251 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 ccfb2fb9a..85dc68999 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
 =================
-**17:39.814** total execution time for **getting-started_tutorials** files:
+**17:45.492** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:41.839 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:00.527 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:40.160 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:33.832 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.681 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.017 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:47.038 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.502 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.073 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.292 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.013 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.251 | 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_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 20fb0169b..74985a0a3 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   31.999999   31.999999
+2       16384.0   38.400001   38.400001
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  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  47.038 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.502 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 c3198f706..f10c36887 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   153.600004
+0     256.0  546.133347      546.133347   186.181817
+1     384.0  614.400016      585.142862   151.703707
 2     512.0  655.360017      606.814814   154.566038
-3     640.0  706.206879      640.000002   159.377446
+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      416.101597   199.096718
-95  12416.0  812.498981      412.149375   198.755369
-96  12544.0  810.925276      412.546756   199.012395
-97  12672.0  811.007961      412.097543   199.167004
+93  12160.0  812.359066      406.179533   199.140227
+94  12288.0  812.429770      415.661740   199.399583
+95  12416.0  812.498981      411.296057   198.954424
+96  12544.0  810.925276      412.971190   199.209928
+97  12672.0  811.007961      412.097543   199.264875
 
 [98 rows x 4 columns]
 </pre></div>
@@ -394,7 +394,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
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 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
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 <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/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index 6792f5201..bca562498 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
 <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   2.730667  ...   3.276800              3.276800
-1    384.0   7.372800  ...   8.507077              8.507077
+0    256.0   2.730667  ...   2.978909              2.978909
+1    384.0   7.372800  ...   8.507077              7.899428
 2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  35.389441             34.028308
 5    896.0  39.025776  ...  40.140799             39.025776
 6   1024.0  49.932191  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  48.161033             47.396572
+7   1152.0  45.242181  ...  47.775747             47.396572
 8   1280.0  51.200001  ...  57.690139             57.690139
-9   1408.0  64.138541  ...  69.009825             68.147202
+9   1408.0  64.138541  ...  68.147202             67.305878
 10  1536.0  80.430545  ...  81.355034             79.526831
 11  1664.0  62.929456  ...  63.372618             62.492442
 12  1792.0  72.512412  ...  73.460287             59.467852
-13  1920.0  69.120002  ...  71.626943             71.257735
+13  1920.0  68.776119  ...  71.257735             71.257735
 14  2048.0  73.908442  ...  78.398206             77.314362
-15  2176.0  83.500614  ...  87.876193             86.367588
-16  2304.0  68.446623  ...  77.558029             77.307030
-17  2432.0  71.305746  ...  86.711310             85.653855
-18  2560.0  77.833728  ...  82.331658             81.715711
-19  2688.0  83.369354  ...  90.532356             89.044730
-20  2816.0  80.026067  ...  84.197315             83.074685
-21  2944.0  79.993635  ...  83.060049             81.564701
-22  3072.0  82.301023  ...  88.473602             84.638425
-23  3200.0  84.321474  ...  96.530922             95.380032
-24  3328.0  83.130825  ...  85.703924             81.162679
-25  3456.0  82.688790  ...  86.318594             89.281913
-26  3584.0  86.958797  ...  98.375705             98.591437
-27  3712.0  84.230479  ...  88.326564             87.976522
-28  3840.0  80.960466  ...  84.842346             89.839159
-29  3968.0  87.004591  ...  92.372393             83.922926
-30  4096.0  93.206754  ...  82.393504             87.154371
+15  2176.0  83.155572  ...  87.876193             86.367588
+16  2304.0  68.446623  ...  77.810656             77.307030
+17  2432.0  71.305746  ...  86.711310             83.864074
+18  2560.0  78.019048  ...  82.747477             81.920002
+19  2688.0  83.737433  ...  90.316801             89.044730
+20  2816.0  79.587973  ...  83.312714             83.233226
+21  2944.0  81.967162  ...  82.784108             82.784108
+22  3072.0  78.534123  ...  89.170242             85.792579
+23  3200.0  79.701121  ...  96.822991             95.096582
+24  3328.0  82.843841  ...  85.096096             81.530349
+25  3456.0  80.945348  ...  89.579522             81.352463
+26  3584.0  87.466332  ...  97.416461             98.699661
+27  3712.0  82.559787  ...  88.955779             88.015279
+28  3840.0  83.497171  ...  89.043476             89.912191
+29  3968.0  87.976885  ...  87.315873             90.121079
+30  4096.0  87.552332  ...  85.460934             91.304576
 
 [31 rows x 5 columns]
 </pre></div>
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diff --git a/master/getting-started/tutorials/04-low-memory-dropout.html b/master/getting-started/tutorials/04-low-memory-dropout.html
index ff3f3aec8..2b40f74f3 100644
--- a/master/getting-started/tutorials/04-low-memory-dropout.html
+++ b/master/getting-started/tutorials/04-low-memory-dropout.html
@@ -374,7 +374,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
 </dd>
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diff --git a/master/getting-started/tutorials/05-layer-norm.html b/master/getting-started/tutorials/05-layer-norm.html
index 7739bff5f..95046e058 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
+++ b/master/getting-started/tutorials/05-layer-norm.html
@@ -196,36 +196,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm:
           N      Triton       Torch        Apex
-0    1024.0  585.142849  277.694907  468.114273
+0    1024.0  585.142849  277.694907  481.882344
 1    1536.0  630.153868  323.368435  511.999982
-2    2048.0  682.666643  334.367358  520.126988
-3    2560.0  694.237267  365.714281  512.000013
-4    3072.0  712.347810  378.092307  491.520012
-5    3584.0  725.873439  384.859062  451.527536
-6    4096.0  728.177767  381.023256  445.823133
-7    4608.0  670.254540  394.267384  423.724136
-8    5120.0  688.403381  397.669909  424.455959
-9    5632.0  698.542675  395.228063  411.470331
-10   6144.0  702.171410  402.885254  411.313806
-11   6656.0  700.631610  398.861429  400.360920
-12   7168.0  690.891575  396.844306  387.459443
-13   7680.0  678.895043  393.846167  387.634072
-14   8192.0  636.271854  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  513.336807  413.911572  383.251457
-23  12800.0  504.433489  410.420828  376.470582
-24  13312.0  494.180982  405.699062  376.976995
-25  13824.0  482.934503  411.888257  379.389355
-26  14336.0  471.967074  406.695045  374.185964
-27  14848.0  461.297068  408.192434  375.304904
-28  15360.0  454.269882  406.214870  378.092307
-29  15872.0  447.098578  406.974373  376.783377
+2    2048.0  682.666643  337.814445  520.126988
+3    2560.0  694.237267  362.477870  518.481028
+4    3072.0  712.347810  378.092307  501.551037
+5    3584.0  725.873439  384.859062  458.751978
+6    4096.0  728.177767  381.023256  455.111095
+7    4608.0  670.254540  396.387087  426.173427
+8    5120.0  688.403381  397.669909  422.268057
+9    5632.0  704.000002  396.969169  413.357796
+10   6144.0  697.191505  402.885254  409.600010
+11   6656.0  705.271522  400.360920  400.360920
+12   7168.0  690.891575  392.767108  386.154893
+13   7680.0  678.895043  392.587863  386.415087
+14   8192.0  636.271854  391.259714  373.424507
+15   8704.0  627.315309  390.095225  380.502740
+16   9216.0  606.814809  406.214877  383.999986
+17   9728.0  587.350922  408.524944  382.427505
+18  10240.0  566.920437  408.578556  382.803739
+19  10752.0  546.133312  410.577576  380.601764
+20  11264.0  533.207081  396.969169  371.595879
+21  11776.0  520.486200  409.599991  378.345375
+22  12288.0  514.680630  413.042029  383.251457
+23  12800.0  504.433489  410.420828  377.163903
+24  13312.0  494.180982  406.473303  377.645399
+25  13824.0  482.934503  410.359948  378.739711
+26  14336.0  471.967074  398.222208  373.576536
+27  14848.0  461.297068  404.027214  374.712936
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 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index b3b671026..118324994 100644
--- a/master/getting-started/tutorials/06-fused-attention.html
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@@ -543,7 +543,7 @@ to download the full example code</p>
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diff --git a/master/getting-started/tutorials/07-libdevice-function.html b/master/getting-started/tutorials/07-libdevice-function.html
index 3d8752ce0..bda2b17b7 100644
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+++ b/master/getting-started/tutorials/07-libdevice-function.html
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 <p><a class="reference download internal" download="" href="../../_downloads/3ff29f967ace7985da24aab10352fc76/07-libdevice-function.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">07-libdevice-function.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/sg_execution_times.html b/master/getting-started/tutorials/sg_execution_times.html
index ab30457f6..cc39c6878 100644
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 <td><p>0.0 MB</p></td>
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diff --git a/master/searchindex.js b/master/searchindex.js
index 0dced8101..64c8836cb 100644
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index b7ed186e9..f7903afb7 100644
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diff --git a/v1.1.2/_images/sphx_glr_05-layer-norm_001.png b/v1.1.2/_images/sphx_glr_05-layer-norm_001.png
index ec06086f4..40b819b53 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 94e9ea01e..4524dda3a 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 7e181dc2b..4718cd9ef 100644
--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -232,19 +232,19 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     vector-add-performance:
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
-    1        8192.0   19.200000   19.200000
+    1        8192.0   19.200000   15.999999
     2       16384.0   38.400001   38.400001
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    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  842.906750
+    13   33554432.0  842.004273  843.811163
     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  43.820 seconds)
+   **Total running time of the script:** ( 1 minutes  48.257 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 53ad3d439..07ce41e0b 100644
--- a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   188.321838
-    1     384.0  585.142862      585.142862   151.703707
+    0     256.0  512.000001      546.133347   186.181817
+    1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
     3     640.0  682.666684      640.000002   160.000000
-    4     768.0  722.823517      664.216187   163.839992
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.834951
-    94  12288.0  814.111783      415.661740   198.995960
-    95  12416.0  812.498981      411.296057   198.755369
-    96  12544.0  812.566838      412.971190   199.012395
-    97  12672.0  812.633240      412.097543   198.971549
+    93  12160.0  814.058574      406.179533   198.530610
+    94  12288.0  814.111783      416.101597   198.794749
+    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
 
     [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  24.302 seconds)
+   **Total running time of the script:** ( 3 minutes  24.240 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 d9806f087..3a9989e01 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
@@ -463,7 +463,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
     0    256.0   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   7.899428              7.899428
+    1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
@@ -473,26 +473,26 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     8   1280.0  51.200001  ...  56.888887             56.888887
     9   1408.0  64.138541  ...  67.305878             67.305878
     10  1536.0  80.430545  ...  80.430545             79.526831
-    11  1664.0  62.929456  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.512412             72.047592
-    13  1920.0  69.120002  ...  70.530615             70.530615
+    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  ...  85.998493             85.632545
-    16  2304.0  68.251065  ...  76.809875             76.809875
-    17  2432.0  71.305746  ...  74.719317             84.877538
-    18  2560.0  77.833728  ...  81.108913             80.511054
-    19  2688.0  83.369354  ...  89.676257             89.254248
-    20  2816.0  79.154642  ...  83.552120             82.916747
-    21  2944.0  81.967162  ...  82.646820             82.441740
-    22  3072.0  82.540970  ...  89.593522             86.712254
-    23  3200.0  80.503145  ...  91.756271             93.158662
-    24  3328.0  82.275764  ...  84.795401             85.602017
-    25  3456.0  82.688790  ...  91.046379             88.400840
-    26  3584.0  87.381330  ...  97.522120             98.160909
-    27  3712.0  84.159518  ...  88.326564             83.040189
-    28  3840.0  84.164384  ...  92.159996             85.333335
-    29  3968.0  92.723355  ...  84.038524             91.130650
-    30  4096.0  87.495257  ...  86.536250             91.992956
+    15  2176.0  83.500614  ...  86.367588             84.909907
+    16  2304.0  68.251065  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  74.918570             84.877538
+    18  2560.0  78.019048  ...  81.310171             80.412266
+    19  2688.0  83.552988  ...  89.464755             90.102270
+    20  2816.0  79.587973  ...  80.617762             82.602666
+    21  2944.0  82.921853  ...  78.979452             82.441740
+    22  3072.0  81.472093  ...  85.792579             83.269271
+    23  3200.0  84.656085  ...  92.888243             95.096582
+    24  3328.0  82.041364  ...  83.130825             84.695641
+    25  3456.0  81.518272  ...  91.511426             90.892410
+    26  3584.0  86.457107  ...  91.563533             94.947616
+    27  3712.0  83.806497  ...  86.192706             88.443856
+    28  3840.0  80.255442  ...  90.574940             89.043476
+    29  3968.0  92.512459  ...  83.807647             80.015697
+    30  4096.0  93.271527  ...  84.360608             86.424811
 
     [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  23.071 seconds)
+   **Total running time of the script:** ( 5 minutes  24.119 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..4683e306e 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  0.010 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 89958667e..4c66d15ee 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   93.801531  292.571431
-    1    1536.0  351.085717  135.529409  344.523365
-    2    2048.0  423.724127  161.684218  325.509933
-    3    2560.0  461.954908  183.402991  330.322572
-    4    3072.0  519.211251  191.999993  317.793096
-    5    3584.0  551.384634  208.271186  309.410081
-    6    4096.0  564.965515  220.907859  301.546004
-    7    4608.0  500.416301  233.316456  292.571431
-    8    5120.0  529.655159  242.845844  287.775181
-    9    5632.0  536.380957  243.545956  290.683877
-    10   6144.0  544.118087  250.349744  286.322318
-    11   6656.0  534.260858  255.182111  284.748652
-    12   7168.0  510.480705  255.619613  278.820105
-    13   7680.0  486.332448  265.208635  280.975614
-    14   8192.0  460.440290  266.046015  282.482757
-    15   8704.0  417.791980  264.425310  283.826081
-    16   9216.0  428.651187  270.065931  286.879380
-    17   9728.0  438.857162  281.971008  288.593329
-    18  10240.0  446.025405  286.100109  289.129408
+    0    1024.0  307.200008   99.096776  307.200008
+    1    1536.0  351.085717  133.083026  338.201833
+    2    2048.0  423.724127  162.217818  327.679984
+    3    2560.0  461.954908  182.857144  325.079368
+    4    3072.0  515.580429  191.501303  319.168834
+    5    3584.0  554.941930  208.271186  308.301075
+    6    4096.0  568.231237  220.412561  298.796351
+    7    4608.0  498.162157  231.849059  287.251954
+    8    5120.0  525.128191  242.845844  286.433562
+    9    5632.0  538.517949  243.545956  290.683877
+    10   6144.0  542.117638  248.661056  286.322318
+    11   6656.0  527.207907  256.000009  286.279570
+    12   7168.0  507.469040  262.243907  288.644296
+    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  284.987724
+    16   9216.0  428.651187  273.066667  289.507855
+    17   9728.0  439.683593  280.278512  288.950501
+    18  10240.0  446.836366  286.433562  290.153487
     19  10752.0  429.364408  246.699797  290.267711
-    20  11264.0  429.104745  245.091565  286.372873
-    21  11776.0  423.724129  248.569911  288.097854
-    22  12288.0  420.701865  252.493141  294.323369
-    23  12800.0  415.135142  253.465340  287.640454
-    24  13312.0  411.711355  253.160074  290.707920
-    25  13824.0  406.588243  257.790206  292.571423
-    26  14336.0  396.844280  254.109315  287.438588
-    27  14848.0  386.080180  256.737757  290.662311
-    28  15360.0  373.874218  259.422943  289.811315
-    29  15872.0  370.913333  263.071829  291.452168
+    20  11264.0  429.104745  245.091565  285.767446
+    21  11776.0  421.198220  249.227509  288.981596
+    22  12288.0  420.102570  254.453844  294.911986
+    23  12800.0  415.696898  253.465340  288.180121
+    24  13312.0  412.242569  252.559690  290.179836
+    25  13824.0  405.098897  257.390218  292.571423
+    26  14336.0  397.761846  254.673567  286.242939
+    27  14848.0  384.414233  257.108233  289.246765
+    28  15360.0  374.253788  257.790220  286.656296
+    29  15872.0  366.982663  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.781 seconds)
+   **Total running time of the script:** ( 2 minutes  12.043 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 49a3c7987..72f5314ea 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
 =================
-**12:42.984** total execution time for **getting-started_tutorials** files:
+**12:48.670** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.071 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.119 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:24.302 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:24.240 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.781 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.043 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.820 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:48.257 | 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``)       | 00:00.010 | 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 550a5b45c..071b40e0e 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -322,24 +322,24 @@ for different problem sizes.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
-1        8192.0   19.200000   19.200000
+1        8192.0   19.200000   15.999999
 2       16384.0   38.400001   38.400001
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-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  842.906750
+13   33554432.0  842.004273  843.811163
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.820 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  48.257 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 c90db956c..06c57167a 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   188.321838
-1     384.0  585.142862      585.142862   151.703707
+0     256.0  512.000001      546.133347   186.181817
+1     384.0  614.400016      585.142862   153.600004
 2     512.0  655.360017      606.814814   154.566038
 3     640.0  682.666684      640.000002   160.000000
-4     768.0  722.823517      664.216187   163.839992
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.834951
-94  12288.0  814.111783      415.661740   198.995960
-95  12416.0  812.498981      411.296057   198.755369
-96  12544.0  812.566838      412.971190   199.012395
-97  12672.0  812.633240      412.097543   198.971549
+93  12160.0  814.058574      406.179533   198.530610
+94  12288.0  814.111783      416.101597   198.794749
+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
 
 [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  24.302 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  24.240 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 cc42107ae..1289a85ad 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -569,7 +569,7 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
 0    256.0   2.730667  ...   2.978909              2.978909
-1    384.0   7.372800  ...   7.899428              7.899428
+1    384.0   7.372800  ...   8.507077              8.507077
 2    512.0  14.563555  ...  16.384000             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  34.028308             34.028308
@@ -579,31 +579,31 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 8   1280.0  51.200001  ...  56.888887             56.888887
 9   1408.0  64.138541  ...  67.305878             67.305878
 10  1536.0  80.430545  ...  80.430545             79.526831
-11  1664.0  62.929456  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  72.512412             72.047592
-13  1920.0  69.120002  ...  70.530615             70.530615
+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  ...  85.998493             85.632545
-16  2304.0  68.251065  ...  76.809875             76.809875
-17  2432.0  71.305746  ...  74.719317             84.877538
-18  2560.0  77.833728  ...  81.108913             80.511054
-19  2688.0  83.369354  ...  89.676257             89.254248
-20  2816.0  79.154642  ...  83.552120             82.916747
-21  2944.0  81.967162  ...  82.646820             82.441740
-22  3072.0  82.540970  ...  89.593522             86.712254
-23  3200.0  80.503145  ...  91.756271             93.158662
-24  3328.0  82.275764  ...  84.795401             85.602017
-25  3456.0  82.688790  ...  91.046379             88.400840
-26  3584.0  87.381330  ...  97.522120             98.160909
-27  3712.0  84.159518  ...  88.326564             83.040189
-28  3840.0  84.164384  ...  92.159996             85.333335
-29  3968.0  92.723355  ...  84.038524             91.130650
-30  4096.0  87.495257  ...  86.536250             91.992956
+15  2176.0  83.500614  ...  86.367588             84.909907
+16  2304.0  68.251065  ...  76.809875             76.563695
+17  2432.0  71.305746  ...  74.918570             84.877538
+18  2560.0  78.019048  ...  81.310171             80.412266
+19  2688.0  83.552988  ...  89.464755             90.102270
+20  2816.0  79.587973  ...  80.617762             82.602666
+21  2944.0  82.921853  ...  78.979452             82.441740
+22  3072.0  81.472093  ...  85.792579             83.269271
+23  3200.0  84.656085  ...  92.888243             95.096582
+24  3328.0  82.041364  ...  83.130825             84.695641
+25  3456.0  81.518272  ...  91.511426             90.892410
+26  3584.0  86.457107  ...  91.563533             94.947616
+27  3712.0  83.806497  ...  86.192706             88.443856
+28  3840.0  80.255442  ...  90.574940             89.043476
+29  3968.0  92.512459  ...  83.807647             80.015697
+30  4096.0  93.271527  ...  84.360608             86.424811
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  23.071 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  24.119 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
index 80bb98b3a..12b20c2ba 100644
--- a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
+++ b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
@@ -371,7 +371,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
 </dd>
 </dl>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.011 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.010 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 77f4dc6d7..c4205de67 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -194,36 +194,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
           N      Triton       Torch        Apex
-0    1024.0  311.088617   93.801531  292.571431
-1    1536.0  351.085717  135.529409  344.523365
-2    2048.0  423.724127  161.684218  325.509933
-3    2560.0  461.954908  183.402991  330.322572
-4    3072.0  519.211251  191.999993  317.793096
-5    3584.0  551.384634  208.271186  309.410081
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