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diff --git a/master/_images/sphx_glr_02-fused-softmax_001.png b/master/_images/sphx_glr_02-fused-softmax_001.png
index b7bc3cf8e..b750cdef5 100644
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diff --git a/master/_images/sphx_glr_02-fused-softmax_thumb.png b/master/_images/sphx_glr_02-fused-softmax_thumb.png
index bba0f8de0..55ef93dda 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_001.png b/master/_images/sphx_glr_03-matrix-multiplication_001.png
index c0b013345..813cbe70e 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png
index fc1917d52..dc53a4ffe 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 1b4792388..f8d6f63f3 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 04625b70c..524b67080 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 19e1a1c8b..2231c9cdc 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  341.333321  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  40.569 seconds)
+   **Total running time of the script:** ( 1 minutes  44.610 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 5c40b7a74..8f24a1c20 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  546.133347      546.133347   188.321838
+    0     256.0  546.133347      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  706.206879      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
     93  12160.0  812.359066      406.179533   198.530610
-    94  12288.0  812.429770      415.661740   198.794749
+    94  12288.0  812.429770      416.101597   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   198.776477
+    96  12544.0  810.925276      412.971190   198.766042
+    97  12672.0  811.007961      412.097543   198.873965
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  26.870 seconds)
+   **Total running time of the script:** ( 3 minutes  31.794 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 e3b7bdf34..92fea389b 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  ...   2.978909              2.978909
+    0    256.0   2.730667  ...   3.276800              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  35.389441             34.028308
     5    896.0  39.025776  ...  40.140799             39.025776
-    6   1024.0  51.150050  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  48.161033             48.161033
+    6   1024.0  49.932191  ...  53.773130             52.428801
+    7   1152.0  44.566925  ...  47.396572             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  69.009825             68.147202
-    10  1536.0  81.355034  ...  81.355034             79.526831
-    11  1664.0  63.372618  ...  63.822072             62.929456
-    12  1792.0  72.983276  ...  73.460287             59.467852
-    13  1920.0  68.776119  ...  71.257735             71.257735
+    9   1408.0  64.138541  ...  68.147202             67.305878
+    10  1536.0  80.430545  ...  81.355034             78.643199
+    11  1664.0  62.929456  ...  63.372618             62.492442
+    12  1792.0  72.512412  ...  73.460287             59.467852
+    13  1920.0  69.120002  ...  71.626943             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.494120             85.998493
-    16  2304.0  68.446623  ...  78.064941             77.057651
-    17  2432.0  71.305746  ...  86.444504             75.320281
-    18  2560.0  77.833728  ...  82.747477             81.715711
-    19  2688.0  83.277839  ...  90.532356             90.102270
-    20  2816.0  80.320825  ...  83.873477             83.074685
-    21  2944.0  81.698415  ...  80.510553             83.337844
-    22  3072.0  81.472093  ...  89.735509             88.890270
-    23  3200.0  84.099871  ...  96.749806             95.665176
-    24  3328.0  83.130825  ...  85.297742             84.596116
-    25  3456.0  81.394821  ...  92.138932             90.790053
-    26  3584.0  86.623693  ...  93.370085             96.787292
-    27  3712.0  85.528545  ...  86.641231             87.937800
-    28  3840.0  83.402717  ...  92.429584             85.996889
-    29  3968.0  92.864488  ...  80.120775             84.915752
-    30  4096.0  86.204508  ...  89.062862             90.565269
+    15  2176.0  83.500614  ...  87.876193             86.367588
+    16  2304.0  68.446623  ...  78.064941             77.307030
+    17  2432.0  71.305746  ...  86.711310             85.653855
+    18  2560.0  78.019048  ...  82.747477             81.715711
+    19  2688.0  83.737433  ...  91.185232             89.464755
+    20  2816.0  83.074685  ...  84.687779             83.712490
+    21  2944.0  82.102191  ...  81.034195             82.784108
+    22  3072.0  82.540970  ...  89.170242             87.516392
+    23  3200.0  84.432717  ...  96.822991             95.808380
+    24  3328.0  83.130825  ...  85.500351             84.447271
+    25  3456.0  81.974138  ...  91.719645             90.079964
+    26  3584.0  83.876297  ...  90.549237             94.847460
+    27  3712.0  85.601834  ...  81.285505             86.044224
+    28  3840.0  82.840447  ...  92.236860             86.130841
+    29  3968.0  93.148045  ...  80.120775             84.856701
+    30  4096.0  86.258181  ...  85.762979             90.565269
 
     [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  24.066 seconds)
+   **Total running time of the script:** ( 6 minutes  45.893 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 f0aa2598c..d1778b13a 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  0.011 seconds)
+   **Total running time of the script:** ( 0 minutes  0.012 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 e0c9470d6..aa2d03dc4 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -41,23 +41,23 @@ Layer Normalization
     0    1024.0  585.142849  277.694907  468.114273
     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
+    3    2560.0  694.237267  365.714281  518.481028
     4    3072.0  712.347810  378.092307  496.484863
     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  426.173427
-    8    5120.0  688.403381  397.669909  422.268057
-    9    5632.0  704.000002  396.969169  415.262685
+    7    4608.0  670.254540  394.267384  421.302872
+    8    5120.0  688.403381  397.669909  424.455959
+    9    5632.0  704.000002  395.228063  411.470331
     10   6144.0  697.191505  402.885254  409.600010
-    11   6656.0  705.271522  400.360920  400.360920
-    12   7168.0  686.754468  396.844306  386.154893
+    11   6656.0  700.631610  400.360920  400.360920
+    12   7168.0  686.754468  396.844306  387.459443
     13   7680.0  682.666656  393.846167  386.415087
     14   8192.0  636.271854  393.609605  371.308771
-    15   8704.0  627.315309  389.005597  380.502740
+    15   8704.0  627.315309  389.005597  381.545190
     16   9216.0  606.814809  407.337026  383.999986
     17   9728.0  587.350922  409.599987  383.369452
     18  10240.0  564.965524  408.578556  382.803739
-    19  10752.0  547.872604  411.559798  381.445676
+    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  514.680630  413.911572  383.251457
@@ -67,7 +67,7 @@ Layer Normalization
     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  376.225175
+    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  37.521 seconds)
+   **Total running time of the script:** ( 5 minutes  39.453 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 94cde5de4..d78c6a14f 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  0.072 seconds)
+   **Total running time of the script:** ( 0 minutes  0.073 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
index 297ebf116..228c0d6c8 100644
--- a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
+++ b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.010 seconds)
+   **Total running time of the script:** ( 0 minutes  0.011 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 f55b185a0..27e926cf3 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
 =================
-**17:09.118** total execution time for **getting-started_tutorials** files:
+**17:41.846** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:24.066 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:45.893 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:37.521 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:39.453 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:26.870 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:31.794 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.569 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.610 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_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``)       | 00:00.011 | 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``)       | 00:00.010 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.011 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 2a4d5fd6c..a55280650 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  341.333321  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  40.569 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  44.610 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 2f1866a4b..4017b7de6 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,17 +371,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  546.133347      546.133347   188.321838
+0     256.0  546.133347      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  706.206879      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
 93  12160.0  812.359066      406.179533   198.530610
-94  12288.0  812.429770      415.661740   198.794749
+94  12288.0  812.429770      416.101597   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   198.776477
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index a003de9f9..8d0ef48b9 100644
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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
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 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index 505a81678..0921e530d 100644
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index e8648e0b7..fb23af6bd 100644
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--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -233,11 +233,11 @@ 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   38.400001
-    3       32768.0   63.999998   63.999998
+    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  384.000001
+    6      262144.0  341.333321  341.333321
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
@@ -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  43.492 seconds)
+   **Total running time of the script:** ( 1 minutes  45.317 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 78bbf790a..ec57be414 100644
--- a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   190.511628
-    1     384.0  585.142862      585.142862   151.703707
+    0     256.0  512.000001      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  682.666684      640.000002   158.759699
-    4     768.0  722.823517      664.216187   163.839992
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.755985   198.936606
-    94  12288.0  814.111783      415.222812   199.197579
-    95  12416.0  812.498981      411.722274   198.854847
-    96  12544.0  812.566838      412.546756   198.913776
-    97  12672.0  812.633240      411.679167   199.069228
+    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   198.776477
 
     [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  23.586 seconds)
+   **Total running time of the script:** ( 3 minutes  22.010 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 a2dc59bf6..6eba35df9 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   3.276800              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             16.384000
+    0    256.0   2.730667  ...   3.276800              2.978909
+    1    384.0   7.372800  ...   8.507077              7.899428
+    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  37.971025  ...  39.025776             37.971025
-    6   1024.0  51.150050  ...  53.773130             52.428801
+    5    896.0  39.025776  ...  40.140799             39.025776
+    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             56.109587
-    9   1408.0  64.138541  ...  67.305878             66.485074
-    10  1536.0  80.430545  ...  79.526831             78.643199
-    11  1664.0  62.929456  ...  62.061463             62.061463
-    12  1792.0  72.512412  ...  72.047592             71.588687
-    13  1920.0  68.776119  ...  70.172588             70.530615
+    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             79.526831
+    11  1664.0  63.372618  ...  62.492442             62.061463
+    12  1792.0  72.983276  ...  72.047592             72.047592
+    13  1920.0  69.120002  ...  70.172588             70.530615
     14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.155572  ...  86.367588             84.909907
-    16  2304.0  68.446623  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  75.118889             84.877538
-    18  2560.0  77.833728  ...  81.108913             80.511054
-    19  2688.0  83.552988  ...  88.628636             89.044730
-    20  2816.0  82.602666  ...  82.135981             82.759409
-    21  2944.0  81.832567  ...  79.865439             82.852924
-    22  3072.0  82.540970  ...  87.651868             89.170242
-    23  3200.0  83.989503  ...  91.822093             92.352095
-    24  3328.0  79.812967  ...  83.954863             84.596116
-    25  3456.0  81.518272  ...  90.790053             91.407671
-    26  3584.0  86.540320  ...  91.656871             94.847460
-    27  3712.0  83.947349  ...  88.015279             87.094458
-    28  3840.0  80.139129  ...  85.136259             91.247522
-    29  3968.0  85.811488  ...  91.609561             83.633532
-    30  4096.0  93.596744  ...  92.372834             87.267706
+    15  2176.0  83.500614  ...  86.367588             85.632545
+    16  2304.0  68.251065  ...  76.319081             76.563695
+    17  2432.0  71.305746  ...  74.918570             84.877538
+    18  2560.0  78.019048  ...  81.310171             81.108913
+    19  2688.0  83.552988  ...  89.888756             89.254248
+    20  2816.0  79.733474  ...  83.233226             82.290955
+    21  2944.0  82.921853  ...  78.235527             82.715407
+    22  3072.0  82.062468  ...  88.473602             88.197981
+    23  3200.0  84.656085  ...  95.238096             95.238096
+    24  3328.0  82.275764  ...  84.101981             84.003845
+    25  3456.0  81.108217  ...  84.775569             89.380896
+    26  3584.0  86.125852  ...  98.808123             95.350361
+    27  3712.0  81.548851  ...  88.797643             84.946722
+    28  3840.0  85.070769  ...  92.159996             86.400002
+    29  3968.0  92.372393  ...  84.915752             90.994735
+    30  4096.0  89.597949  ...  84.280321             91.678778
 
     [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  27.587 seconds)
+   **Total running time of the script:** ( 5 minutes  22.248 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 9be8fd17f..a55ac447b 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   97.912354  303.407414
-    1    1536.0  351.085717  134.050910  341.333333
-    2    2048.0  423.724127  161.154101  334.367350
-    3    2560.0  465.454542  180.705883  330.322572
-    4    3072.0  515.580429  191.999993  323.368415
-    5    3584.0  551.384634  208.271186  311.652167
-    6    4096.0  568.231237  220.412561  298.796351
-    7    4608.0  500.416301  232.336141  287.251954
-    8    5120.0  525.128191  242.366855  284.444444
-    9    5632.0  540.671974  243.107920  289.438969
-    10   6144.0  544.118087  248.661056  286.322318
-    11   6656.0  528.953642  256.000009  285.767438
-    12   7168.0  507.469040  259.867079  285.293536
-    13   7680.0  485.052616  263.314295  280.547947
-    14   8192.0  460.440290  266.406514  284.115618
-    15   8704.0  416.127506  267.815384  284.987724
-    16   9216.0  428.651187  271.391419  287.999990
-    17   9728.0  437.213490  280.278512  289.667485
-    18  10240.0  448.467168  286.433562  290.496460
-    19  10752.0  431.518385  246.699797  290.267711
-    20  11264.0  430.471331  245.313973  286.980888
-    21  11776.0  423.089806  249.667843  288.981596
-    22  12288.0  419.504980  254.673582  294.617366
-    23  12800.0  414.016170  253.884294  289.811310
-    24  13312.0  411.181478  252.759501  290.443638
-    25  13824.0  405.594132  257.190689  292.056329
-    26  14336.0  394.568805  254.862216  287.198654
-    27  14848.0  385.245405  257.665934  289.952797
-    28  15360.0  376.547496  257.970599  287.326580
-    29  15872.0  368.046389  261.446802  290.341468
+    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  336.657521
+    3    2560.0  461.954908  182.857144  330.322572
+    4    3072.0  515.580429  191.501303  320.556515
+    5    3584.0  554.941930  208.271186  308.301075
+    6    4096.0  568.231237  220.412561  297.890900
+    7    4608.0  498.162157  231.849059  287.251954
+    8    5120.0  525.128191  242.845844  283.787523
+    9    5632.0  538.517949  243.107920  290.683877
+    10   6144.0  542.117638  248.661056  285.767458
+    11   6656.0  527.207907  256.000009  286.793541
+    12   7168.0  505.976473  261.844750  288.160801
+    13   7680.0  482.513091  260.707203  277.590365
+    14   8192.0  460.440290  268.957600  286.600589
+    15   8704.0  416.958106  267.815384  284.987724
+    16   9216.0  428.651187  272.729961  289.507855
+    17   9728.0  438.857162  280.278512  288.950501
+    18  10240.0  447.650282  286.767793  290.496460
+    19  10752.0  430.079980  246.464170  290.267711
+    20  11264.0  429.786952  245.091565  285.767446
+    21  11776.0  421.826879  249.227509  288.686414
+    22  12288.0  420.102570  254.453844  295.207195
+    23  12800.0  415.696898  253.465340  288.721817
+    24  13312.0  412.242569  252.759501  290.179836
+    25  13824.0  405.098897  257.190689  292.571423
+    26  14336.0  397.761846  254.673567  286.242939
+    27  14848.0  383.999990  257.108233  289.246765
+    28  15360.0  374.634130  257.790220  287.550706
+    29  15872.0  367.336555  262.890274  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.490 seconds)
+   **Total running time of the script:** ( 2 minutes  11.305 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 5798b7d2e..fd680b6da 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
 =================
-**12:47.166** total execution time for **getting-started_tutorials** files:
+**12:40.892** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:27.587 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:22.248 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.586 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.010 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.490 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.305 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.492 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.317 | 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 897bd490c..54767e137 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,11 +323,11 @@ 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   38.400001
-3       32768.0   63.999998   63.999998
+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  384.000001
+6      262144.0  341.333321  341.333321
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
@@ -339,7 +339,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.492 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.317 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 2bffcfd7e..841da499a 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   190.511628
-1     384.0  585.142862      585.142862   151.703707
+0     256.0  512.000001      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  682.666684      640.000002   158.759699
-4     768.0  722.823517      664.216187   163.839992
+4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.755985   198.936606
-94  12288.0  814.111783      415.222812   199.197579
-95  12416.0  812.498981      411.722274   198.854847
-96  12544.0  812.566838      412.546756   198.913776
-97  12672.0  812.633240      411.679167   199.069228
+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   198.776477
 
 [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  23.586 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.010 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 0ac2c2e6c..eff5af6a8 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,42 +568,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.978909  ...   3.276800              2.978909
-1    384.0   7.372800  ...   8.507077              8.507077
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