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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 e19fdbfd3..cd8af56d0 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 c9ee30df1..f3702ba50 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 4a41c3860..14f27c443 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 f190fbca4..6b29acaf3 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 6aeb583a5..750c59fd6 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 87089fe75..806d462e4 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 3b9898cc2..e914b65d5 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,14 +234,14 @@ 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
+    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  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
+    9     2097152.0  722.823517  702.171410
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
@@ -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  47.234 seconds)
+   **Total running time of the script:** ( 1 minutes  46.359 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 534263c31..e8640429e 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   186.181817
+    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
+    2     512.0  655.360017      585.142849   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   198.631953
-    94  12288.0  812.429770      416.101597   198.895304
-    95  12416.0  812.498981      412.149375   198.606350
-    96  12544.0  810.925276      412.971190   198.815254
-    97  12672.0  811.007961      412.097543   198.873965
+    93  12160.0  812.359066      406.179533   198.834951
+    94  12288.0  812.429770      415.222812   199.197579
+    95  12416.0  812.498981      412.149375   198.655991
+    96  12544.0  810.925276      412.546756   199.012395
+    97  12672.0  811.007961      412.097543   199.069228
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  31.174 seconds)
+   **Total running time of the script:** ( 3 minutes  30.997 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 1113a8f13..4fb66b1d3 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              2.978909
-    1    384.0   7.372800  ...   7.899428              8.507077
+    0    256.0   2.978909  ...   2.978909              3.276800
+    1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  15.420235             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  32.768000  ...  35.389441             34.028308
+    4    768.0  32.768000  ...  34.028308             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             48.161033
+    7   1152.0  45.242181  ...  48.161033             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
     9   1408.0  64.138541  ...  69.009825             67.305878
-    10  1536.0  80.430545  ...  80.430545             78.643199
+    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  68.776119  ...  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             77.307030
-    17  2432.0  71.305746  ...  85.915795             75.118889
-    18  2560.0  77.833728  ...  82.331658             81.108913
-    19  2688.0  83.369354  ...  90.532356             89.464755
-    20  2816.0  79.733474  ...  84.523664             79.879498
-    21  2944.0  81.967162  ...  82.921853             81.967162
-    22  3072.0  80.202695  ...  89.735509             87.719755
-    23  3200.0  83.116885  ...  88.888888             95.952022
-    24  3328.0  83.516586  ...  84.151136             83.034941
-    25  3456.0  82.688790  ...  89.281913             88.400840
-    26  3584.0  87.296493  ...  97.947050             97.734120
-    27  3712.0  82.491612  ...  89.114488             87.937800
-    28  3840.0  81.798814  ...  85.333335             89.985351
-    29  3968.0  88.873953  ...  91.403695             84.094627
-    30  4096.0  92.182504  ...  85.163532             89.928129
+    13  1920.0  69.120002  ...  71.257735             71.257735
+    14  2048.0  73.584279  ...  78.033565             77.314362
+    15  2176.0  83.500614  ...  87.115360             85.998493
+    16  2304.0  68.446623  ...  78.064941             77.057651
+    17  2432.0  71.305746  ...  86.711310             75.320281
+    18  2560.0  78.019048  ...  82.539044             81.310171
+    19  2688.0  83.737433  ...  90.532356             89.254248
+    20  2816.0  79.587973  ...  83.392363             83.392363
+    21  2944.0  81.298583  ...  83.060049             82.373605
+    22  3072.0  81.825298  ...  89.310890             87.112467
+    23  3200.0  81.424937  ...  96.385543             95.380032
+    24  3328.0  83.034941  ...  86.424125             85.096096
+    25  3456.0  79.430113  ...  90.180725             89.281913
+    26  3584.0  87.381330  ...  99.134944             90.370072
+    27  3712.0  81.482335  ...  89.114488             84.159518
+    28  3840.0  84.874902  ...  92.934455             85.663823
+    29  3968.0  92.652949  ...  89.198780             91.954739
+    30  4096.0  86.256445  ...  89.003801             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:** ( 7 minutes  8.682 seconds)
+   **Total running time of the script:** ( 7 minutes  19.249 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 f428695ec..b63149a7b 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  0.282 seconds)
+   **Total running time of the script:** ( 0 minutes  0.287 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 a02fb1bb5..8ce534037 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  585.142849  277.694907  468.114273
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  668.734716  334.367358  520.126988
+    2    2048.0  682.666643  337.814445  520.126988
     3    2560.0  694.237267  362.477870  512.000013
     4    3072.0  712.347810  378.092307  501.551037
-    5    3584.0  725.873439  384.859062  451.527536
-    6    4096.0  728.177767  381.023256  455.111095
+    5    3584.0  725.873439  384.859062  455.111115
+    6    4096.0  728.177767  381.023256  451.972420
     7    4608.0  670.254540  396.387087  428.651163
-    8    5120.0  688.403381  397.669909  422.268057
-    9    5632.0  704.000002  395.228063  417.185184
-    10   6144.0  697.191505  402.885254  411.313806
-    11   6656.0  705.271522  400.360920  400.360920
-    12   7168.0  686.754468  396.844306  387.459443
-    13   7680.0  682.666656  392.587863  387.634072
-    14   8192.0  633.198054  393.609605  371.308771
-    15   8704.0  627.315309  389.005597  380.502740
-    16   9216.0  606.814809  407.337026  383.999986
-    17   9728.0  587.350922  409.599987  383.369452
-    18  10240.0  564.965524  408.578556  382.803739
-    19  10752.0  547.872604  411.559798  381.445676
-    20  11264.0  533.207081  406.826188  373.134567
-    21  11776.0  520.486200  409.599991  377.587162
-    22  12288.0  514.680630  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  481.882350  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  376.225175
+    8    5120.0  688.403381  397.669909  420.102563
+    9    5632.0  704.000002  395.228063  413.357796
+    10   6144.0  702.171410  402.885254  409.600010
+    11   6656.0  700.631610  400.360920  400.360920
+    12   7168.0  686.754468  392.767108  381.023265
+    13   7680.0  678.895043  393.846167  386.415087
+    14   8192.0  633.198054  394.795186  376.643677
+    15   8704.0  624.502255  389.005597  379.465939
+    16   9216.0  606.814809  406.214877  382.010363
+    17   9728.0  587.350922  408.524944  382.427505
+    18  10240.0  564.965524  409.600010  382.803739
+    19  10752.0  546.133312  411.559798  380.601764
+    20  11264.0  533.207081  404.089694  371.595879
+    21  11776.0  520.486200  409.599991  376.831982
+    22  12288.0  514.680630  414.784810  383.251457
+    23  12800.0  504.433489  409.599981  377.163903
+    24  13312.0  494.180982  406.473303  376.976995
+    25  13824.0  482.934503  412.656711  379.389355
+    26  14336.0  471.967074  403.121247  370.558967
+    27  14848.0  460.403127  407.492270  373.534584
+    28  15360.0  454.269882  406.214870  377.511515
+    29  15872.0  447.887117  407.627589  376.225175
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  30.656 seconds)
+   **Total running time of the script:** ( 5 minutes  30.300 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 71f957a7b..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  0.076 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/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index 371f599fb..e3666d132 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
 =================
-**17:58.361** total execution time for **getting-started_tutorials** files:
+**18:07.524** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:08.682 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:19.249 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:30.656 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:30.300 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:31.174 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.997 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:47.234 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.359 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.282 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.287 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.258 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.076 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.073 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 3380259fc..c572e60dd 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -326,14 +326,14 @@ 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
+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  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
+9     2097152.0  722.823517  702.171410
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
@@ -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  47.234 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.359 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 1b36f2e31..a6628f66f 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   186.181817
+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
+2     512.0  655.360017      585.142849   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   198.631953
-94  12288.0  812.429770      416.101597   198.895304
-95  12416.0  812.498981      412.149375   198.606350
-96  12544.0  810.925276      412.971190   198.815254
-97  12672.0  811.007961      412.097543   198.873965
+93  12160.0  812.359066      406.179533   198.834951
+94  12288.0  812.429770      415.222812   199.197579
+95  12416.0  812.498981      412.149375   198.655991
+96  12544.0  810.925276      412.546756   199.012395
+97  12672.0  811.007961      412.097543   199.069228
 
 [98 rows x 4 columns]
 </pre></div>
@@ -394,7 +394,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
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diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index b4e7e0b72..3f4c401cf 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              2.978909
-1    384.0   7.372800  ...   7.899428              8.507077
+0    256.0   2.978909  ...   2.978909              3.276800
+1    384.0   7.372800  ...   8.507077              8.507077
 2    512.0  14.563555  ...  15.420235             16.384000
 3    640.0  22.260869  ...  24.380953             24.380953
-4    768.0  32.768000  ...  35.389441             34.028308
+4    768.0  32.768000  ...  34.028308             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             48.161033
+7   1152.0  45.242181  ...  48.161033             47.396572
 8   1280.0  51.200001  ...  57.690139             57.690139
 9   1408.0  64.138541  ...  69.009825             67.305878
-10  1536.0  80.430545  ...  80.430545             78.643199
+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  68.776119  ...  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             77.307030
-17  2432.0  71.305746  ...  85.915795             75.118889
-18  2560.0  77.833728  ...  82.331658             81.108913
-19  2688.0  83.369354  ...  90.532356             89.464755
-20  2816.0  79.733474  ...  84.523664             79.879498
-21  2944.0  81.967162  ...  82.921853             81.967162
-22  3072.0  80.202695  ...  89.735509             87.719755
-23  3200.0  83.116885  ...  88.888888             95.952022
-24  3328.0  83.516586  ...  84.151136             83.034941
-25  3456.0  82.688790  ...  89.281913             88.400840
-26  3584.0  87.296493  ...  97.947050             97.734120
-27  3712.0  82.491612  ...  89.114488             87.937800
-28  3840.0  81.798814  ...  85.333335             89.985351
-29  3968.0  88.873953  ...  91.403695             84.094627
-30  4096.0  92.182504  ...  85.163532             89.928129
+13  1920.0  69.120002  ...  71.257735             71.257735
+14  2048.0  73.584279  ...  78.033565             77.314362
+15  2176.0  83.500614  ...  87.115360             85.998493
+16  2304.0  68.446623  ...  78.064941             77.057651
+17  2432.0  71.305746  ...  86.711310             75.320281
+18  2560.0  78.019048  ...  82.539044             81.310171
+19  2688.0  83.737433  ...  90.532356             89.254248
+20  2816.0  79.587973  ...  83.392363             83.392363
+21  2944.0  81.298583  ...  83.060049             82.373605
+22  3072.0  81.825298  ...  89.310890             87.112467
+23  3200.0  81.424937  ...  96.385543             95.380032
+24  3328.0  83.034941  ...  86.424125             85.096096
+25  3456.0  79.430113  ...  90.180725             89.281913
+26  3584.0  87.381330  ...  99.134944             90.370072
+27  3712.0  81.482335  ...  89.114488             84.159518
+28  3840.0  84.874902  ...  92.934455             85.663823
+29  3968.0  92.652949  ...  89.198780             91.954739
+30  4096.0  86.256445  ...  89.003801             91.304576
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
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 <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/master/getting-started/tutorials/04-low-memory-dropout.html b/master/getting-started/tutorials/04-low-memory-dropout.html
index 70e561e4b..ed0b90629 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>
 </dl>
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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 3e2d19418..41ae2c0a1 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
+++ b/master/getting-started/tutorials/05-layer-norm.html
@@ -198,34 +198,34 @@ to download the full example code</p>
           N      Triton       Torch        Apex
 0    1024.0  585.142849  277.694907  468.114273
 1    1536.0  630.153868  323.368435  511.999982
-2    2048.0  668.734716  334.367358  520.126988
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 3    2560.0  694.237267  362.477870  512.000013
 4    3072.0  712.347810  378.092307  501.551037
-5    3584.0  725.873439  384.859062  451.527536
-6    4096.0  728.177767  381.023256  455.111095
+5    3584.0  725.873439  384.859062  455.111115
+6    4096.0  728.177767  381.023256  451.972420
 7    4608.0  670.254540  396.387087  428.651163
-8    5120.0  688.403381  397.669909  422.268057
-9    5632.0  704.000002  395.228063  417.185184
-10   6144.0  697.191505  402.885254  411.313806
-11   6656.0  705.271522  400.360920  400.360920
-12   7168.0  686.754468  396.844306  387.459443
-13   7680.0  682.666656  392.587863  387.634072
-14   8192.0  633.198054  393.609605  371.308771
-15   8704.0  627.315309  389.005597  380.502740
-16   9216.0  606.814809  407.337026  383.999986
-17   9728.0  587.350922  409.599987  383.369452
-18  10240.0  564.965524  408.578556  382.803739
-19  10752.0  547.872604  411.559798  381.445676
-20  11264.0  533.207081  406.826188  373.134567
-21  11776.0  520.486200  409.599991  377.587162
-22  12288.0  514.680630  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  481.882350  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  376.225175
+8    5120.0  688.403381  397.669909  420.102563
+9    5632.0  704.000002  395.228063  413.357796
+10   6144.0  702.171410  402.885254  409.600010
+11   6656.0  700.631610  400.360920  400.360920
+12   7168.0  686.754468  392.767108  381.023265
+13   7680.0  678.895043  393.846167  386.415087
+14   8192.0  633.198054  394.795186  376.643677
+15   8704.0  624.502255  389.005597  379.465939
+16   9216.0  606.814809  406.214877  382.010363
+17   9728.0  587.350922  408.524944  382.427505
+18  10240.0  564.965524  409.600010  382.803739
+19  10752.0  546.133312  411.559798  380.601764
+20  11264.0  533.207081  404.089694  371.595879
+21  11776.0  520.486200  409.599991  376.831982
+22  12288.0  514.680630  414.784810  383.251457
+23  12800.0  504.433489  409.599981  377.163903
+24  13312.0  494.180982  406.473303  376.976995
+25  13824.0  482.934503  412.656711  379.389355
+26  14336.0  471.967074  403.121247  370.558967
+27  14848.0  460.403127  407.492270  373.534584
+28  15360.0  454.269882  406.214870  377.511515
+29  15872.0  447.887117  407.627589  376.225175
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 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index e2495f173..0921e530d 100644
--- a/master/getting-started/tutorials/06-fused-attention.html
+++ b/master/getting-started/tutorials/06-fused-attention.html
@@ -548,7 +548,7 @@ to download the full example code</p>
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diff --git a/master/getting-started/tutorials/sg_execution_times.html b/master/getting-started/tutorials/sg_execution_times.html
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diff --git a/v1.1.2/_images/sphx_glr_05-layer-norm_001.png b/v1.1.2/_images/sphx_glr_05-layer-norm_001.png
index 60b114b20..96e14b2be 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 c364fd826..92a467e5e 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 1b55fa497..e9a5a8b25 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
@@ -244,7 +244,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  842.906750
+    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  46.556 seconds)
+   **Total running time of the script:** ( 1 minutes  44.156 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 beac180aa..cc14c5466 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   153.600004
+    0     256.0  512.000001      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  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.936606
-    94  12288.0  814.111783      415.222812   199.298541
-    95  12416.0  812.498981      411.722274   198.854847
-    96  12544.0  812.566838      413.396498   199.111113
-    97  12672.0  812.633240      412.097543   199.264875
+    93  12160.0  814.058574      406.179533   198.733401
+    94  12288.0  814.111783      416.101597   198.995960
+    95  12416.0  812.498981      412.149375   198.705656
+    96  12544.0  812.566838      412.971190   198.913776
+    97  12672.0  812.633240      412.097543   199.069228
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  23.713 seconds)
+   **Total running time of the script:** ( 3 minutes  20.891 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 b100d08e0..73a27f9c0 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   2.730667  ...   3.276800              2.978909
+    0    256.0   2.730667  ...   2.978909              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             16.384000
+    2    512.0  14.563555  ...  16.384000             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  39.025776  ...  40.140799             39.025776
-    6   1024.0  51.150050  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  46.656000             46.656000
+    5    896.0  39.025776  ...  39.025776             39.025776
+    6   1024.0  49.932191  ...  53.773130             52.428801
+    7   1152.0  45.242181  ...  47.396572             46.656000
     8   1280.0  51.200001  ...  56.888887             56.888887
     9   1408.0  64.138541  ...  67.305878             67.305878
     10  1536.0  80.430545  ...  79.526831             79.526831
     11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.512412             72.047592
-    13  1920.0  69.120002  ...  70.530615             70.530615
-    14  2048.0  73.908442  ...  76.959706             76.959706
-    15  2176.0  83.500614  ...  85.632545             85.632545
-    16  2304.0  68.446623  ...  76.563695             76.563695
-    17  2432.0  71.305746  ...  74.918570             84.877538
-    18  2560.0  77.833728  ...  81.108913             81.108913
-    19  2688.0  83.552988  ...  89.254248             89.464755
-    20  2816.0  79.587973  ...  82.916747             82.916747
-    21  2944.0  81.832567  ...  82.509987             82.509987
-    22  3072.0  82.062468  ...  87.651868             88.197981
-    23  3200.0  81.424937  ...  93.704243             92.352095
-    24  3328.0  84.003845  ...  84.895397             84.298943
-    25  3456.0  81.230800  ...  90.790053             87.489490
-    26  3584.0  85.633710  ...  96.166193             96.683219
-    27  3712.0  82.423549  ...  87.094458             87.706180
-    28  3840.0  83.402717  ...  91.134731             87.011801
-    29  3968.0  91.301109  ...  86.144680             89.394823
-    30  4096.0  86.592080  ...  93.206754             86.313653
+    12  1792.0  72.983276  ...  71.588687             71.588687
+    13  1920.0  68.776119  ...  70.530615             70.530615
+    14  2048.0  73.908442  ...  77.314362             76.959706
+    15  2176.0  83.500614  ...  85.998493             85.269692
+    16  2304.0  68.251065  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  74.719317             84.877538
+    18  2560.0  78.019048  ...  81.310171             81.108913
+    19  2688.0  83.552988  ...  89.995386             89.464755
+    20  2816.0  79.587973  ...  82.916747             82.602666
+    21  2944.0  82.102191  ...  82.646820             83.060049
+    22  3072.0  81.707223  ...  87.516392             88.060814
+    23  3200.0  80.402009  ...  87.551302             87.189747
+    24  3328.0  80.798314  ...  83.905938             84.596116
+    25  3456.0  82.688790  ...  91.252485             90.994998
+    26  3584.0  86.540320  ...  91.563533             95.350361
+    27  3712.0  82.491612  ...  86.867254             86.791782
+    28  3840.0  82.592983  ...  92.390975             86.400002
+    29  3968.0  93.254827  ...  85.093402             91.130650
+    30  4096.0  86.202781  ...  87.982773             89.210850
 
     [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  23.466 seconds)
+   **Total running time of the script:** ( 5 minutes  26.818 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 acd8a5752..e37169b62 100644
--- a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  311.088617   99.497980  315.076934
-    1    1536.0  354.461542  134.050910  338.201833
-    2    2048.0  423.724127  159.067963  321.254900
-    3    2560.0  465.454542  181.238943  326.808501
-    4    3072.0  515.580429  191.501303  315.076914
-    5    3584.0  551.384634  207.267476  307.199992
-    6    4096.0  568.231237  218.939860  299.707322
-    7    4608.0  500.416301  233.316456  290.267724
-    8    5120.0  529.655159  240.469672  285.104413
-    9    5632.0  542.843364  244.426754  290.683877
-    10   6144.0  546.133354  250.349744  286.322318
-    11   6656.0  532.479975  255.590406  286.793541
-    12   7168.0  513.528374  256.764187  281.558103
-    13   7680.0  486.332448  264.068761  283.133636
-    14   8192.0  464.794337  262.143998  282.077471
-    15   8704.0  416.958106  267.472468  285.767450
-    16   9216.0  430.319054  272.729961  289.129410
-    17   9728.0  438.857162  280.278512  289.667485
-    18  10240.0  447.650282  287.102804  290.840246
-    19  10752.0  432.241202  246.935876  290.267711
-    20  11264.0  427.071098  245.983625  288.204696
-    21  11776.0  422.457417  249.227509  288.981596
-    22  12288.0  419.504980  254.453844  295.207195
-    23  12800.0  413.458944  253.674644  290.359162
-    24  13312.0  411.181478  252.959629  290.443638
-    25  13824.0  404.604870  257.190689  292.056329
-    26  14336.0  397.302533  254.485198  288.402346
-    27  14848.0  381.942121  257.108233  289.246765
-    28  15360.0  374.253788  258.151252  287.775181
-    29  15872.0  366.982663  262.527914  290.562936
+    0    1024.0  311.088617   99.096776  307.200008
+    1    1536.0  351.085717  133.083026  341.333333
+    2    2048.0  423.724127  161.684218  338.979315
+    3    2560.0  461.954908  182.857144  330.322572
+    4    3072.0  511.999982  191.501303  316.429186
+    5    3584.0  554.941930  208.271186  310.527060
+    6    4096.0  568.231237  220.412561  296.990947
+    7    4608.0  498.162157  231.849059  289.507855
+    8    5120.0  525.128191  242.845844  286.433562
+    9    5632.0  538.517949  243.107920  290.683877
+    10   6144.0  544.118087  248.451567  286.322318
+    11   6656.0  527.207907  256.000009  286.536325
+    12   7168.0  507.469040  262.243907  288.160801
+    13   7680.0  482.513091  260.338991  276.756754
+    14   8192.0  460.440290  268.957600  286.600589
+    15   8704.0  416.958106  267.472468  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  286.433562  288.112552
+    19  10752.0  430.079980  246.464170  290.267711
+    20  11264.0  429.104745  245.091565  285.767446
+    21  11776.0  421.198220  249.447482  288.686414
+    22  12288.0  420.102570  254.453844  294.911986
+    23  12800.0  415.696898  253.465340  289.811310
+    24  13312.0  412.242569  252.559690  290.179836
+    25  13824.0  404.604870  257.190689  292.571423
+    26  14336.0  397.761846  254.862216  286.481278
+    27  14848.0  384.414233  257.293872  289.012175
+    28  15360.0  374.253788  257.610071  288.000007
+    29  15872.0  367.336555  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.996 seconds)
+   **Total running time of the script:** ( 2 minutes  7.366 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 478c585e3..7a6301b83 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
 =================
-**12:45.742** total execution time for **getting-started_tutorials** files:
+**12:39.242** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.466 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:26.818 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.713 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:20.891 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.996 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:07.366 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.556 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.156 | 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 575dab4d8..7fb851493 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -334,12 +334,12 @@ for different problem sizes.</p>
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  842.906750
+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  46.556 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  44.156 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 acc8cb436..2a02ed140 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   153.600004
+0     256.0  512.000001      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  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.936606
-94  12288.0  814.111783      415.222812   199.298541
-95  12416.0  812.498981      411.722274   198.854847
-96  12544.0  812.566838      413.396498   199.111113
-97  12672.0  812.633240      412.097543   199.264875
+93  12160.0  814.058574      406.179533   198.733401
+94  12288.0  814.111783      416.101597   198.995960
+95  12416.0  812.498981      412.149375   198.705656
+96  12544.0  812.566838      412.971190   198.913776
+97  12672.0  812.633240      412.097543   199.069228
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.713 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  20.891 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 f7d0483e7..167035288 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   2.730667  ...   3.276800              2.978909
+0    256.0   2.730667  ...   2.978909              2.978909
 1    384.0   7.372800  ...   8.507077              8.507077
-2    512.0  14.563555  ...  16.384000             16.384000
+2    512.0  14.563555  ...  16.384000             15.420235
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  34.028308             34.028308
-5    896.0  39.025776  ...  40.140799             39.025776
-6   1024.0  51.150050  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  46.656000             46.656000
+5    896.0  39.025776  ...  39.025776             39.025776
+6   1024.0  49.932191  ...  53.773130             52.428801
+7   1152.0  45.242181  ...  47.396572             46.656000
 8   1280.0  51.200001  ...  56.888887             56.888887
 9   1408.0  64.138541  ...  67.305878             67.305878
 10  1536.0  80.430545  ...  79.526831             79.526831
 11  1664.0  63.372618  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  72.512412             72.047592
-13  1920.0  69.120002  ...  70.530615             70.530615
-14  2048.0  73.908442  ...  76.959706             76.959706
-15  2176.0  83.500614  ...  85.632545             85.632545
-16  2304.0  68.446623  ...  76.563695             76.563695
-17  2432.0  71.305746  ...  74.918570             84.877538
-18  2560.0  77.833728  ...  81.108913             81.108913
-19  2688.0  83.552988  ...  89.254248             89.464755
-20  2816.0  79.587973  ...  82.916747             82.916747
-21  2944.0  81.832567  ...  82.509987             82.509987
-22  3072.0  82.062468  ...  87.651868             88.197981
-23  3200.0  81.424937  ...  93.704243             92.352095
-24  3328.0  84.003845  ...  84.895397             84.298943
-25  3456.0  81.230800  ...  90.790053             87.489490
-26  3584.0  85.633710  ...  96.166193             96.683219
-27  3712.0  82.423549  ...  87.094458             87.706180
-28  3840.0  83.402717  ...  91.134731             87.011801
-29  3968.0  91.301109  ...  86.144680             89.394823
-30  4096.0  86.592080  ...  93.206754             86.313653
+12  1792.0  72.983276  ...  71.588687             71.588687
+13  1920.0  68.776119  ...  70.530615             70.530615
+14  2048.0  73.908442  ...  77.314362             76.959706
+15  2176.0  83.500614  ...  85.998493             85.269692
+16  2304.0  68.251065  ...  76.809875             76.563695
+17  2432.0  71.305746  ...  74.719317             84.877538
+18  2560.0  78.019048  ...  81.310171             81.108913
+19  2688.0  83.552988  ...  89.995386             89.464755
+20  2816.0  79.587973  ...  82.916747             82.602666
+21  2944.0  82.102191  ...  82.646820             83.060049
+22  3072.0  81.707223  ...  87.516392             88.060814
+23  3200.0  80.402009  ...  87.551302             87.189747
+24  3328.0  80.798314  ...  83.905938             84.596116
+25  3456.0  82.688790  ...  91.252485             90.994998
+26  3584.0  86.540320  ...  91.563533             95.350361
+27  3712.0  82.491612  ...  86.867254             86.791782
+28  3840.0  82.592983  ...  92.390975             86.400002
+29  3968.0  93.254827  ...  85.093402             91.130650
+30  4096.0  86.202781  ...  87.982773             89.210850
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  23.466 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  26.818 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 64343b5ec..91be16cea 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -194,36 +194,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
           N      Triton       Torch        Apex
-0    1024.0  311.088617   99.497980  315.076934
-1    1536.0  354.461542  134.050910  338.201833
-2    2048.0  423.724127  159.067963  321.254900
-3    2560.0  465.454542  181.238943  326.808501
-4    3072.0  515.580429  191.501303  315.076914
-5    3584.0  551.384634  207.267476  307.199992
-6    4096.0  568.231237  218.939860  299.707322
-7    4608.0  500.416301  233.316456  290.267724
-8    5120.0  529.655159  240.469672  285.104413
-9    5632.0  542.843364  244.426754  290.683877
-10   6144.0  546.133354  250.349744  286.322318
-11   6656.0  532.479975  255.590406  286.793541
-12   7168.0  513.528374  256.764187  281.558103
-13   7680.0  486.332448  264.068761  283.133636
-14   8192.0  464.794337  262.143998  282.077471
-15   8704.0  416.958106  267.472468  285.767450
-16   9216.0  430.319054  272.729961  289.129410
-17   9728.0  438.857162  280.278512  289.667485
-18  10240.0  447.650282  287.102804  290.840246
-19  10752.0  432.241202  246.935876  290.267711
-20  11264.0  427.071098  245.983625  288.204696
-21  11776.0  422.457417  249.227509  288.981596
-22  12288.0  419.504980  254.453844  295.207195
-23  12800.0  413.458944  253.674644  290.359162
-24  13312.0  411.181478  252.959629  290.443638
-25  13824.0  404.604870  257.190689  292.056329
-26  14336.0  397.302533  254.485198  288.402346
-27  14848.0  381.942121  257.108233  289.246765
-28  15360.0  374.253788  258.151252  287.775181
-29  15872.0  366.982663  262.527914  290.562936
+0    1024.0  311.088617   99.096776  307.200008
+1    1536.0  351.085717  133.083026  341.333333
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+3    2560.0  461.954908  182.857144  330.322572
+4    3072.0  511.999982  191.501303  316.429186
+5    3584.0  554.941930  208.271186  310.527060
+6    4096.0  568.231237  220.412561  296.990947
+7    4608.0  498.162157  231.849059  289.507855
+8    5120.0  525.128191  242.845844  286.433562
+9    5632.0  538.517949  243.107920  290.683877
+10   6144.0  544.118087  248.451567  286.322318
+11   6656.0  527.207907  256.000009  286.536325
+12   7168.0  507.469040  262.243907  288.160801
+13   7680.0  482.513091  260.338991  276.756754
+14   8192.0  460.440290  268.957600  286.600589
+15   8704.0  416.958106  267.472468  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  286.433562  288.112552
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