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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 977356739..714c2e81c 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 70a9f3a96..86479edd2 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 f0c9a464f..62f3a4397 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 7b8b46075..1fe23fc8e 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 0184fe28d..0b7b0f9f6 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 1ffe97c30..0368880fc 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 1dd7d8b94..da2df817c 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,18 +234,18 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   76.800002
+    2       16384.0   31.999999   31.999999
+    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
     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  842.004273
+    13   33554432.0  842.004273  843.811163
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -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  31.609 seconds)
+   **Total running time of the script:** ( 1 minutes  46.509 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 7104251e6..ef76c1910 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   190.511628
-    1     384.0  585.142862      585.142862   151.703707
+    0     256.0  546.133347      546.133347   188.321838
+    1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
-    3     640.0  706.206879      640.000002   160.000000
+    3     640.0  706.206879      640.000002   158.759699
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.755985   199.038365
-    94  12288.0  812.429770      415.661740   199.197579
-    95  12416.0  812.498981      412.149375   198.954424
-    96  12544.0  810.925276      412.546756   199.111113
-    97  12672.0  811.007961      412.516771   199.167004
+    93  12160.0  812.359066      406.179533   198.631953
+    94  12288.0  812.429770      415.661740   198.895304
+    95  12416.0  812.498981      412.149375   198.556711
+    96  12544.0  812.566838      412.971190   198.864492
+    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  26.653 seconds)
+   **Total running time of the script:** ( 3 minutes  30.010 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 9a3354ef1..718d70b0d 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
+    0    256.0   2.978909  ...   3.276800              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  15.420235             15.420235
+    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  37.971025  ...  40.140799             39.025776
-    6   1024.0  49.932191  ...  53.773130             52.428801
-    7   1152.0  44.566925  ...  47.396572             47.396572
+    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             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
     9   1408.0  64.138541  ...  68.147202             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  69.120002  ...  71.626943             71.257735
+    13  1920.0  69.120002  ...  71.257735             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.876193             86.367588
-    16  2304.0  68.251065  ...  78.064941             77.057651
-    17  2432.0  71.305746  ...  83.614477             83.366361
-    18  2560.0  77.833728  ...  82.747477             81.715711
-    19  2688.0  83.922689  ...  90.748936             89.044730
-    20  2816.0  82.759409  ...  84.197315             83.712490
-    21  2944.0  81.298583  ...  83.899046             80.771529
-    22  3072.0  81.825298  ...  89.310890             87.246694
-    23  3200.0  81.424937  ...  97.116842             95.096582
-    24  3328.0  84.003845  ...  85.908470             84.101981
-    25  3456.0  79.118323  ...  85.585527             88.400840
-    26  3584.0  87.127323  ...  99.518972             95.756542
-    27  3712.0  84.159518  ...  84.658765             87.937800
-    28  3840.0  84.615146  ...  89.042358             84.323810
-    29  3968.0  92.512459  ...  81.950257             84.915752
-    30  4096.0  87.381330  ...  85.489001             90.079009
+    15  2176.0  83.500614  ...  87.115360             85.632545
+    16  2304.0  68.446623  ...  78.064941             77.307030
+    17  2432.0  71.305746  ...  86.179335             75.320281
+    18  2560.0  77.833728  ...  82.539044             81.310171
+    19  2688.0  83.737433  ...  90.316801             89.254248
+    20  2816.0  79.806423  ...  84.116121             83.873477
+    21  2944.0  81.298583  ...  83.060049             83.337844
+    22  3072.0  78.643199  ...  88.335577             86.315709
+    23  3200.0  82.368085  ...  96.676741             95.665176
+    24  3328.0  83.130825  ...  84.695641             84.397770
+    25  3456.0  82.015834  ...  91.097818             90.892410
+    26  3584.0  84.865870  ...  95.451583             90.367227
+    27  3712.0  84.658765  ...  88.955779             87.018592
+    28  3840.0  84.485870  ...  89.802683             88.473602
+    29  3968.0  92.864488  ...  87.066671             89.493168
+    30  4096.0  88.417474  ...  86.258181             89.898012
 
     [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  21.317 seconds)
+   **Total running time of the script:** ( 6 minutes  34.417 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index 6ab03cf14..5adbe3627 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  337.814445  520.126988
-    3    2560.0  694.237267  362.477870  518.481028
+    2    2048.0  682.666643  334.367358  520.126988
+    3    2560.0  694.237267  365.714281  512.000013
     4    3072.0  712.347810  378.092307  501.551037
-    5    3584.0  725.873439  384.859062  455.111115
+    5    3584.0  725.873439  384.859062  448.000001
     6    4096.0  728.177767  381.023256  455.111095
-    7    4608.0  670.254540  396.387087  423.724136
+    7    4608.0  670.254540  394.267384  426.173427
     8    5120.0  688.403381  397.669909  422.268057
-    9    5632.0  704.000002  395.228063  409.599997
-    10   6144.0  702.171410  402.885254  411.313806
-    11   6656.0  700.631610  400.360920  400.360920
-    12   7168.0  690.891575  391.426634  383.571898
+    9    5632.0  704.000002  396.969169  415.262685
+    10   6144.0  697.191505  402.885254  409.600010
+    11   6656.0  705.271522  400.360920  400.360920
+    12   7168.0  690.891575  396.844306  386.154893
     13   7680.0  678.895043  393.846167  386.415087
-    14   8192.0  636.271854  392.431125  374.491442
-    15   8704.0  624.502255  390.095225  379.465939
-    16   9216.0  604.327881  407.337026  381.023249
-    17   9728.0  585.142883  409.599987  382.427505
-    18  10240.0  564.965524  409.600010  382.803739
-    19  10752.0  546.133312  411.559798  380.601764
-    20  11264.0  531.634232  404.089694  373.908711
-    21  11776.0  520.486200  409.599991  376.831982
-    22  12288.0  516.031509  413.911572  383.251457
-    23  12800.0  504.433489  410.420828  375.779805
-    24  13312.0  494.180982  404.927765  376.976995
-    25  13824.0  482.934503  411.888257  378.739711
-    26  14336.0  471.967074  404.543203  371.760140
-    27  14848.0  461.297068  406.099164  374.122832
-    28  15360.0  453.431739  406.214870  378.092307
-    29  15872.0  447.887117  407.627589  376.225175
+    14   8192.0  636.271854  393.609605  371.308771
+    15   8704.0  627.315309  389.005597  380.502740
+    16   9216.0  606.814809  407.337026  383.999986
+    17   9728.0  587.350922  409.599987  383.369452
+    18  10240.0  564.965524  408.578556  382.803739
+    19  10752.0  547.872604  411.559798  381.445676
+    20  11264.0  533.207081  406.826188  373.134567
+    21  11776.0  520.486200  409.599991  377.587162
+    22  12288.0  513.336807  413.911572  383.251457
+    23  12800.0  504.433489  410.420828  376.470582
+    24  13312.0  494.180982  405.699062  376.976995
+    25  13824.0  482.934503  411.888257  379.389355
+    26  14336.0  471.967074  406.695045  374.185964
+    27  14848.0  461.297068  408.192434  375.304904
+    28  15360.0  454.269882  406.214870  378.092307
+    29  15872.0  447.098578  406.974373  376.783377
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  28.933 seconds)
+   **Total running time of the script:** ( 5 minutes  39.380 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..94cde5de4 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  0.072 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
index 228c0d6c8..9512c1fc6 100644
--- a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
+++ b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.011 seconds)
+   **Total running time of the script:** ( 0 minutes  0.009 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 877da7c8e..1f0052a1a 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**16:48.611** total execution time for **getting-started_tutorials** files:
+**17:30.409** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:21.317 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:34.417 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:28.933 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:39.380 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:26.653 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.010 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:31.609 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.509 | 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``)             | 00:00.072 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.011 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.009 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 26b4f5fe9..8a3f945a7 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -326,23 +326,23 @@ 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
-3       32768.0   63.999998   76.800002
+2       16384.0   31.999999   31.999999
+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
 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  842.004273
+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  31.609 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.509 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 ac4fd7d73..4e7ce5799 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   190.511628
-1     384.0  585.142862      585.142862   151.703707
+0     256.0  546.133347      546.133347   188.321838
+1     384.0  614.400016      585.142862   153.600004
 2     512.0  655.360017      606.814814   154.566038
-3     640.0  706.206879      640.000002   160.000000
+3     640.0  706.206879      640.000002   158.759699
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.755985   199.038365
-94  12288.0  812.429770      415.661740   199.197579
-95  12416.0  812.498981      412.149375   198.954424
-96  12544.0  810.925276      412.546756   199.111113
-97  12672.0  811.007961      412.516771   199.167004
+93  12160.0  812.359066      406.179533   198.631953
+94  12288.0  812.429770      415.661740   198.895304
+95  12416.0  812.498981      412.149375   198.556711
+96  12544.0  812.566838      412.971190   198.864492
+97  12672.0  811.007961      412.097543   198.873965
 
 [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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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  30.010 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">
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 <p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index 7bf614e74..1e09abcee 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
+0    256.0   2.978909  ...   3.276800              2.978909
 1    384.0   7.372800  ...   8.507077              8.507077
-2    512.0  14.563555  ...  15.420235             15.420235
+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  37.971025  ...  40.140799             39.025776
-6   1024.0  49.932191  ...  53.773130             52.428801
-7   1152.0  44.566925  ...  47.396572             47.396572
+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             47.396572
 8   1280.0  51.200001  ...  57.690139             57.690139
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-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
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-13  1920.0  69.120002  ...  71.626943             71.257735
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 14  2048.0  73.908442  ...  78.398206             77.314362
-15  2176.0  83.500614  ...  87.876193             86.367588
-16  2304.0  68.251065  ...  78.064941             77.057651
-17  2432.0  71.305746  ...  83.614477             83.366361
-18  2560.0  77.833728  ...  82.747477             81.715711
-19  2688.0  83.922689  ...  90.748936             89.044730
-20  2816.0  82.759409  ...  84.197315             83.712490
-21  2944.0  81.298583  ...  83.899046             80.771529
-22  3072.0  81.825298  ...  89.310890             87.246694
-23  3200.0  81.424937  ...  97.116842             95.096582
-24  3328.0  84.003845  ...  85.908470             84.101981
-25  3456.0  79.118323  ...  85.585527             88.400840
-26  3584.0  87.127323  ...  99.518972             95.756542
-27  3712.0  84.159518  ...  84.658765             87.937800
-28  3840.0  84.615146  ...  89.042358             84.323810
-29  3968.0  92.512459  ...  81.950257             84.915752
-30  4096.0  87.381330  ...  85.489001             90.079009
+15  2176.0  83.500614  ...  87.115360             85.632545
+16  2304.0  68.446623  ...  78.064941             77.307030
+17  2432.0  71.305746  ...  86.179335             75.320281
+18  2560.0  77.833728  ...  82.539044             81.310171
+19  2688.0  83.737433  ...  90.316801             89.254248
+20  2816.0  79.806423  ...  84.116121             83.873477
+21  2944.0  81.298583  ...  83.060049             83.337844
+22  3072.0  78.643199  ...  88.335577             86.315709
+23  3200.0  82.368085  ...  96.676741             95.665176
+24  3328.0  83.130825  ...  84.695641             84.397770
+25  3456.0  82.015834  ...  91.097818             90.892410
+26  3584.0  84.865870  ...  95.451583             90.367227
+27  3712.0  84.658765  ...  88.955779             87.018592
+28  3840.0  84.485870  ...  89.802683             88.473602
+29  3968.0  92.864488  ...  87.066671             89.493168
+30  4096.0  88.417474  ...  86.258181             89.898012
 
 [31 rows x 5 columns]
 </pre></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">
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 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/05-layer-norm.html b/master/getting-started/tutorials/05-layer-norm.html
index 55fd2d5db..fba911890 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
+++ b/master/getting-started/tutorials/05-layer-norm.html
@@ -198,34 +198,34 @@ to download the full example code</p>
           N      Triton       Torch        Apex
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 6    4096.0  728.177767  381.023256  455.111095
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-9    5632.0  704.000002  395.228063  409.599997
-10   6144.0  702.171410  402.885254  411.313806
-11   6656.0  700.631610  400.360920  400.360920
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+12   7168.0  690.891575  396.844306  386.154893
 13   7680.0  678.895043  393.846167  386.415087
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-15   8704.0  624.502255  390.095225  379.465939
-16   9216.0  604.327881  407.337026  381.023249
-17   9728.0  585.142883  409.599987  382.427505
-18  10240.0  564.965524  409.600010  382.803739
-19  10752.0  546.133312  411.559798  380.601764
-20  11264.0  531.634232  404.089694  373.908711
-21  11776.0  520.486200  409.599991  376.831982
-22  12288.0  516.031509  413.911572  383.251457
-23  12800.0  504.433489  410.420828  375.779805
-24  13312.0  494.180982  404.927765  376.976995
-25  13824.0  482.934503  411.888257  378.739711
-26  14336.0  471.967074  404.543203  371.760140
-27  14848.0  461.297068  406.099164  374.122832
-28  15360.0  453.431739  406.214870  378.092307
-29  15872.0  447.887117  407.627589  376.225175
+14   8192.0  636.271854  393.609605  371.308771
+15   8704.0  627.315309  389.005597  380.502740
+16   9216.0  606.814809  407.337026  383.999986
+17   9728.0  587.350922  409.599987  383.369452
+18  10240.0  564.965524  408.578556  382.803739
+19  10752.0  547.872604  411.559798  381.445676
+20  11264.0  533.207081  406.826188  373.134567
+21  11776.0  520.486200  409.599991  377.587162
+22  12288.0  513.336807  413.911572  383.251457
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+25  13824.0  482.934503  411.888257  379.389355
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+28  15360.0  454.269882  406.214870  378.092307
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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..505a81678 100644
--- a/master/getting-started/tutorials/06-fused-attention.html
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@@ -548,7 +548,7 @@ to download the full example code</p>
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diff --git a/master/getting-started/tutorials/07-libdevice-function.html b/master/getting-started/tutorials/07-libdevice-function.html
index fb23af6bd..0fa808b94 100644
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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 120283057..1769e49de 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 a5a0b7319..d5bc1b0b4 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 2a962871f..b39ef9b87 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
@@ -231,10 +231,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
     vector-add-performance:
                size      Triton       Torch
-    0        4096.0    9.600000    9.600000
+    0        4096.0    8.000000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   63.999998
+    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
@@ -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  42.557 seconds)
+   **Total running time of the script:** ( 1 minutes  32.117 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 eab16d07d..437288fa5 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
@@ -288,15 +288,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
               N      Triton  Torch (native)  Torch (jit)
     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
+    2     512.0  655.360017      585.142849   154.566038
+    3     640.0  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.733401
-    94  12288.0  814.111783      416.101597   199.096718
-    95  12416.0  812.498981      412.149375   198.655991
-    96  12544.0  812.566838      412.546756   198.913776
-    97  12672.0  812.633240      412.097543   199.069228
+    93  12160.0  814.058574      406.179533   198.936606
+    94  12288.0  814.111783      415.661740   199.197579
+    95  12416.0  812.498981      412.149375   198.954424
+    96  12544.0  812.566838      412.971190   199.209928
+    97  12672.0  812.633240      412.097543   199.264875
 
     [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  23.007 seconds)
+   **Total running time of the script:** ( 3 minutes  20.245 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 39ab91bc2..b136fe9f2 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
+    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  ...  52.428801             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.888887
-    9   1408.0  64.138541  ...  67.305878             67.305878
-    10  1536.0  80.430545  ...  79.526831             79.526831
-    11  1664.0  63.372618  ...  62.492442             62.061463
-    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  83.155572  ...  85.998493             85.632545
+    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  ...  71.588687             71.588687
+    13  1920.0  69.120002  ...  70.530615             70.530615
+    14  2048.0  73.908442  ...  76.959706             76.959706
+    15  2176.0  83.155572  ...  86.367588             85.632545
     16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  85.393507             85.134737
+    17  2432.0  71.305746  ...  85.393507             84.367759
     18  2560.0  78.019048  ...  80.908642             81.108913
-    19  2688.0  83.369354  ...  89.888756             89.044730
-    20  2816.0  83.552120  ...  83.712490             82.759409
-    21  2944.0  81.564701  ...  81.698415             81.832567
-    22  3072.0  82.062468  ...  88.473602             88.335577
-    23  3200.0  84.544253  ...  95.238096             95.096582
-    24  3328.0  83.130825  ...  84.101981             84.003845
-    25  3456.0  79.430113  ...  88.595129             88.400840
-    26  3584.0  87.296493  ...  98.160909             98.160909
-    27  3712.0  82.423549  ...  88.561477             85.822459
-    28  3840.0  84.809814  ...  92.006659             87.286505
-    29  3968.0  93.148045  ...  82.953048             80.917732
-    30  4096.0  93.045216  ...  92.884244             88.243079
+    19  2688.0  83.737433  ...  89.044730             88.628636
+    20  2816.0  79.587973  ...  82.916747             83.233226
+    21  2944.0  81.564701  ...  82.373605             82.921853
+    22  3072.0  82.181572  ...  89.451983             87.313963
+    23  3200.0  83.116885  ...  92.753621             91.298148
+    24  3328.0  80.617354  ...  84.895397             84.596116
+    25  3456.0  82.099354  ...  91.097818             90.586029
+    26  3584.0  82.189576  ...  91.563533             95.047985
+    27  3712.0  85.309435  ...  90.981189             87.170458
+    28  3840.0  81.079177  ...  85.070769             91.097196
+    29  3968.0  85.752131  ...  91.266964             85.751184
+    30  4096.0  93.336389  ...  92.245860             88.243079
 
     [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  25.861 seconds)
+   **Total running time of the script:** ( 5 minutes  16.690 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 1efcd8fb9..bf009eb93 100644
--- a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  311.088617   99.096776  307.200008
+    0    1024.0  311.088617   99.096776  311.088617
     1    1536.0  351.085717  133.083026  338.201833
-    2    2048.0  423.724127  162.217818  325.509933
-    3    2560.0  461.954908  182.857144  326.808501
-    4    3072.0  511.999982  191.501303  317.793096
-    5    3584.0  554.941930  208.271186  308.301075
-    6    4096.0  568.231237  220.412561  294.323343
-    7    4608.0  498.162157  231.849059  291.031570
-    8    5120.0  525.128191  242.845844  287.102804
-    9    5632.0  538.517949  243.107920  291.310338
-    10   6144.0  544.118087  248.661056  286.322318
-    11   6656.0  527.207907  256.000009  286.793541
-    12   7168.0  505.976473  262.243907  288.644296
-    13   7680.0  482.513091  260.707203  277.172933
-    14   8192.0  460.440290  268.957600  286.600589
+    2    2048.0  423.724127  161.684218  338.979315
+    3    2560.0  461.954908  182.314537  323.368411
+    4    3072.0  511.999982  191.005181  319.168834
+    5    3584.0  554.941930  208.271186  306.106777
+    6    4096.0  568.231237  219.919464  292.571431
+    7    4608.0  498.162157  231.849059  289.507855
+    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  286.322318
+    11   6656.0  527.207907  256.000009  286.279570
+    12   7168.0  505.976473  262.243907  288.160801
+    13   7680.0  481.253256  260.707203  277.172933
+    14   8192.0  460.440290  269.326017  286.600589
     15   8704.0  416.958106  267.815384  284.987724
     16   9216.0  428.651187  273.066667  289.507855
-    17   9728.0  439.683593  280.278512  288.950501
+    17   9728.0  438.857162  280.615388  288.950501
     18  10240.0  447.650282  286.433562  290.153487
-    19  10752.0  429.364408  246.464170  290.267711
-    20  11264.0  429.445578  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  288.180121
+    19  10752.0  430.079980  246.464170  290.267711
+    20  11264.0  429.786952  245.091565  285.767446
+    21  11776.0  421.198220  249.227509  288.686414
+    22  12288.0  420.102570  254.453844  294.911986
+    23  12800.0  415.135142  253.465340  289.811310
     24  13312.0  412.242569  252.559690  290.179836
     25  13824.0  405.098897  257.390218  292.571423
-    26  14336.0  397.761846  254.673567  286.481278
-    27  14848.0  383.586664  257.293872  289.246765
-    28  15360.0  374.253788  257.610071  286.433562
-    29  15872.0  366.982663  262.708969  291.229369
+    26  14336.0  398.222222  254.862216  286.481278
+    27  14848.0  384.414233  257.293872  289.246765
+    28  15360.0  374.634130  257.610071  287.550706
+    29  15872.0  366.805973  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.602 seconds)
+   **Total running time of the script:** ( 2 minutes  12.483 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 28a4a74c8..9527d2a25 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
 =================
-**12:43.037** total execution time for **getting-started_tutorials** files:
+**12:21.546** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:25.861 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:16.690 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.007 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:20.245 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.602 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.483 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.557 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:32.117 | 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 d508b317e..2c793811d 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -321,10 +321,10 @@ for different problem sizes.</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
            size      Triton       Torch
-0        4096.0    9.600000    9.600000
+0        4096.0    8.000000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   63.999998
+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
@@ -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  42.557 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  32.117 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 dfb0abdf6..f6ef5f39a 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -376,15 +376,15 @@ We will then compare its performance against (1) <code class="code docutils lite
           N      Triton  Torch (native)  Torch (jit)
 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
+2     512.0  655.360017      585.142849   154.566038
+3     640.0  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.733401
-94  12288.0  814.111783      416.101597   199.096718
-95  12416.0  812.498981      412.149375   198.655991
-96  12544.0  812.566838      412.546756   198.913776
-97  12672.0  812.633240      412.097543   199.069228
+93  12160.0  814.058574      406.179533   198.936606
+94  12288.0  814.111783      415.661740   199.197579
+95  12416.0  812.498981      412.149375   198.954424
+96  12544.0  812.566838      412.971190   199.209928
+97  12672.0  812.633240      412.097543   199.264875
 
 [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  23.007 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  20.245 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 3960b6476..b5a83b95d 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
+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  ...  52.428801             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
-8   1280.0  51.200001  ...  56.888887             56.888887
-9   1408.0  64.138541  ...  67.305878             67.305878
-10  1536.0  80.430545  ...  79.526831             79.526831
-11  1664.0  63.372618  ...  62.492442             62.061463
-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  83.155572  ...  85.998493             85.632545
+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  ...  71.588687             71.588687
+13  1920.0  69.120002  ...  70.530615             70.530615
+14  2048.0  73.908442  ...  76.959706             76.959706
+15  2176.0  83.155572  ...  86.367588             85.632545
 16  2304.0  68.251065  ...  76.809875             76.563695
-17  2432.0  71.305746  ...  85.393507             85.134737
+17  2432.0  71.305746  ...  85.393507             84.367759
 18  2560.0  78.019048  ...  80.908642             81.108913
-19  2688.0  83.369354  ...  89.888756             89.044730
-20  2816.0  83.552120  ...  83.712490             82.759409
-21  2944.0  81.564701  ...  81.698415             81.832567
-22  3072.0  82.062468  ...  88.473602             88.335577
-23  3200.0  84.544253  ...  95.238096             95.096582
-24  3328.0  83.130825  ...  84.101981             84.003845
-25  3456.0  79.430113  ...  88.595129             88.400840
-26  3584.0  87.296493  ...  98.160909             98.160909
-27  3712.0  82.423549  ...  88.561477             85.822459
-28  3840.0  84.809814  ...  92.006659             87.286505
-29  3968.0  93.148045  ...  82.953048             80.917732
-30  4096.0  93.045216  ...  92.884244             88.243079
+19  2688.0  83.737433  ...  89.044730             88.628636
+20  2816.0  79.587973  ...  82.916747             83.233226
+21  2944.0  81.564701  ...  82.373605             82.921853
+22  3072.0  82.181572  ...  89.451983             87.313963
+23  3200.0  83.116885  ...  92.753621             91.298148
+24  3328.0  80.617354  ...  84.895397             84.596116
+25  3456.0  82.099354  ...  91.097818             90.586029
+26  3584.0  82.189576  ...  91.563533             95.047985
+27  3712.0  85.309435  ...  90.981189             87.170458
+28  3840.0  81.079177  ...  85.070769             91.097196
+29  3968.0  85.752131  ...  91.266964             85.751184
+30  4096.0  93.336389  ...  92.245860             88.243079
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  25.861 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  16.690 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 ebf2c7313..c26c357da 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   99.096776  307.200008
+0    1024.0  311.088617   99.096776  311.088617
 1    1536.0  351.085717  133.083026  338.201833
-2    2048.0  423.724127  162.217818  325.509933
-3    2560.0  461.954908  182.857144  326.808501
-4    3072.0  511.999982  191.501303  317.793096
-5    3584.0  554.941930  208.271186  308.301075
-6    4096.0  568.231237  220.412561  294.323343
-7    4608.0  498.162157  231.849059  291.031570
-8    5120.0  525.128191  242.845844  287.102804
-9    5632.0  538.517949  243.107920  291.310338
-10   6144.0  544.118087  248.661056  286.322318
-11   6656.0  527.207907  256.000009  286.793541
-12   7168.0  505.976473  262.243907  288.644296
-13   7680.0  482.513091  260.707203  277.172933
-14   8192.0  460.440290  268.957600  286.600589
+2    2048.0  423.724127  161.684218  338.979315
+3    2560.0  461.954908  182.314537  323.368411
+4    3072.0  511.999982  191.005181  319.168834
+5    3584.0  554.941930  208.271186  306.106777
+6    4096.0  568.231237  219.919464  292.571431
+7    4608.0  498.162157  231.849059  289.507855
+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  286.322318
+11   6656.0  527.207907  256.000009  286.279570
+12   7168.0  505.976473  262.243907  288.160801
+13   7680.0  481.253256  260.707203  277.172933
+14   8192.0  460.440290  269.326017  286.600589
 15   8704.0  416.958106  267.815384  284.987724
 16   9216.0  428.651187  273.066667  289.507855
-17   9728.0  439.683593  280.278512  288.950501
+17   9728.0  438.857162  280.615388  288.950501
 18  10240.0  447.650282  286.433562  290.153487
-19  10752.0  429.364408  246.464170  290.267711
-20  11264.0  429.445578  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  288.180121
+19  10752.0  430.079980  246.464170  290.267711
+20  11264.0  429.786952  245.091565  285.767446
+21  11776.0  421.198220  249.227509  288.686414
+22  12288.0  420.102570  254.453844  294.911986
+23  12800.0  415.135142  253.465340  289.811310
 24  13312.0  412.242569  252.559690  290.179836
 25  13824.0  405.098897  257.390218  292.571423
-26  14336.0  397.761846  254.673567  286.481278
-27  14848.0  383.586664  257.293872  289.246765
-28  15360.0  374.253788  257.610071  286.433562
-29  15872.0  366.982663  262.708969  291.229369
+26  14336.0  398.222222  254.862216  286.481278
+27  14848.0  384.414233  257.293872  289.246765
+28  15360.0  374.634130  257.610071  287.550706
+29  15872.0  366.805973  262.708969  291.229369
 </pre></div>
 </div>
 <div class="line-block">
@@ -477,7 +477,7 @@ to download the full example code</p>
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