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diff --git a/master/_images/sphx_glr_02-fused-softmax_001.png b/master/_images/sphx_glr_02-fused-softmax_001.png
index 2af0997d9..0fa79baae 100644
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diff --git a/master/_images/sphx_glr_02-fused-softmax_thumb.png b/master/_images/sphx_glr_02-fused-softmax_thumb.png
index 8fca0fcf2..16721ba37 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_001.png b/master/_images/sphx_glr_03-matrix-multiplication_001.png
index d09694b8a..3c9aecbfb 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png
index 32af098dc..f2d76bf95 100644
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diff --git a/master/_images/sphx_glr_05-layer-norm_001.png b/master/_images/sphx_glr_05-layer-norm_001.png
index b6cab998f..c8170f4c0 100644
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diff --git a/master/_images/sphx_glr_05-layer-norm_thumb.png b/master/_images/sphx_glr_05-layer-norm_thumb.png
index 413534deb..687ed8042 100644
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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 b3b976518..e3e2e327b 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   31.999999
-    3       32768.0   76.800002   76.800002
+    2       16384.0   38.400001   38.400001
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  341.333321
+    6      262144.0  384.000001  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  843.811163
+    13   33554432.0  842.004273  842.004273
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -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  47.482 seconds)
+   **Total running time of the script:** ( 1 minutes  35.074 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 d4d360ed5..9f733bb2f 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -281,13 +281,13 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     0     256.0  546.133347      546.133347   186.181817
     1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
-    3     640.0  706.206879      640.000002   160.000000
+    3     640.0  706.206879      640.000002   158.759699
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.631953
-    94  12288.0  812.429770      415.661740   198.995960
-    95  12416.0  812.498981      412.149375   198.655991
-    96  12544.0  810.925276      412.971190   198.815254
+    93  12160.0  812.359066      406.179533   198.530610
+    94  12288.0  812.429770      415.661740   198.895304
+    95  12416.0  812.498981      412.149375   198.556711
+    96  12544.0  810.925276      412.971190   198.716830
     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  30.502 seconds)
+   **Total running time of the script:** ( 3 minutes  27.238 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 ead180890..81517b8f1 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,7 +459,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   3.276800              3.276800
+    0    256.0   2.730667  ...   2.978909              2.978909
     1    384.0   7.372800  ...   7.899428              8.507077
     2    512.0  14.563555  ...  15.420235             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
@@ -468,28 +468,28 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     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
+    9   1408.0  64.138541  ...  69.009825             68.147202
     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  69.467336  ...  71.257735             71.257735
+    11  1664.0  63.372618  ...  63.372618             62.492442
+    12  1792.0  72.983276  ...  73.943582             59.784168
+    13  1920.0  69.467336  ...  71.626943             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.155572  ...  87.494120             85.998493
-    16  2304.0  68.251065  ...  78.064941             77.057651
-    17  2432.0  71.305746  ...  85.915795             75.320281
-    18  2560.0  78.019048  ...  82.125311             81.108913
-    19  2688.0  83.186525  ...  90.316801             89.676257
-    20  2816.0  79.879498  ...  84.360174             82.916747
-    21  2944.0  82.237674  ...  82.921853             80.510553
-    22  3072.0  82.540970  ...  89.522696             88.612060
-    23  3200.0  83.116885  ...  88.888888             96.096095
-    24  3328.0  83.275067  ...  83.808259             83.905938
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+    15  2176.0  83.500614  ...  87.494120             85.998493
+    16  2304.0  68.446623  ...  78.064941             77.307030
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+    22  3072.0  81.005868  ...  88.060814             86.712254
+    23  3200.0  78.769229  ...  96.240602             95.522391
+    24  3328.0  83.419811  ...  84.695641             83.905938
+    25  3456.0  81.849303  ...  83.544315             89.183149
+    26  3584.0  87.296493  ...  98.375705             98.375705
+    27  3712.0  81.548851  ...  88.876645             87.475786
+    28  3840.0  82.654712  ...  88.828912             89.985351
+    29  3968.0  85.811488  ...  91.816356             85.212248
+    30  4096.0  93.142072  ...  88.827088             86.480498
 
     [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  42.139 seconds)
+   **Total running time of the script:** ( 6 minutes  32.427 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 4ce1a0053..5ef5500e0 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,21 +40,21 @@ 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  682.666643  334.367358  520.126988
-    3    2560.0  694.237267  365.714281  518.481028
+    2    2048.0  668.734716  334.367358  520.126988
+    3    2560.0  694.237267  365.714281  512.000013
     4    3072.0  712.347810  378.092307  496.484863
-    5    3584.0  725.873439  384.859062  455.111115
+    5    3584.0  725.873439  384.859062  451.527536
     6    4096.0  728.177767  381.023256  455.111095
-    7    4608.0  670.254540  394.267384  421.302872
-    8    5120.0  688.403381  397.669909  424.455959
-    9    5632.0  704.000002  395.228063  411.470331
-    10   6144.0  702.171410  402.885254  409.600010
+    7    4608.0  670.254540  394.267384  426.173427
+    8    5120.0  688.403381  397.669909  420.102563
+    9    5632.0  704.000002  395.228063  415.262685
+    10   6144.0  697.191505  402.885254  409.600010
     11   6656.0  700.631610  400.360920  400.360920
     12   7168.0  690.891575  396.844306  387.459443
     13   7680.0  678.895043  393.846167  386.415087
-    14   8192.0  639.375598  393.609605  373.424507
-    15   8704.0  627.315309  389.005597  380.502740
-    16   9216.0  606.814809  407.337026  383.999986
+    14   8192.0  636.271854  393.609605  371.308771
+    15   8704.0  624.502255  389.005597  380.502740
+    16   9216.0  604.327881  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  546.133312  411.559798  381.445676
@@ -63,10 +63,10 @@ Layer Normalization
     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  481.882350  411.888257  379.389355
-    26  14336.0  470.997935  406.695045  374.185964
-    27  14848.0  460.403127  408.192434  375.304904
-    28  15360.0  454.269882  406.214870  378.092307
+    25  13824.0  482.934503  411.122660  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  377.801688
     29  15872.0  447.887117  406.974373  376.225175
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  40.540 seconds)
+   **Total running time of the script:** ( 5 minutes  35.079 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 63e0b2935..d46ee7134 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.074 seconds)
+   **Total running time of the script:** ( 0 minutes  0.075 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 2e2a8611a..aff962c19 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,18 +5,18 @@
 
 Computation times
 =================
-**17:40.760** total execution time for **getting-started_tutorials** files:
+**17:09.915** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:42.139 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:32.427 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:40.540 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:35.079 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.502 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:27.238 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:47.482 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:35.074 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.074 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.075 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.013 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 64d2c34f1..976113809 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   31.999999
-3       32768.0   76.800002   76.800002
+2       16384.0   38.400001   38.400001
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  341.333321
+6      262144.0  384.000001  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  843.811163
+13   33554432.0  842.004273  842.004273
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  47.482 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  35.074 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 3311b220b..acaea503d 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -374,13 +374,13 @@ We will then compare its performance against (1) <code class="code docutils lite
 0     256.0  546.133347      546.133347   186.181817
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+3     640.0  706.206879      640.000002   158.759699
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
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-95  12416.0  812.498981      412.149375   198.655991
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 [98 rows x 4 columns]
@@ -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>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  30.502 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  27.238 seconds)</p>
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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 c364b782f..4d1e8ce49 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 5be53dfe3..5f51eb724 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 facbac9b5..76c329791 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
@@ -234,10 +234,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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   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
+    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
@@ -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  41.226 seconds)
+   **Total running time of the script:** ( 1 minutes  37.033 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 0c1631792..c98971f56 100644
--- a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   188.321838
-    1     384.0  614.400016      585.142862   153.600004
+    0     256.0  546.133347      546.133347   190.511628
+    1     384.0  585.142862      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  814.058574      406.179533   198.429370
-    94  12288.0  814.111783      415.661740   198.895304
-    95  12416.0  812.498981      412.149375   198.457532
-    96  12544.0  812.566838      412.971190   198.716830
-    97  12672.0  812.633240      412.097543   198.776477
+    93  12160.0  812.359066      405.755985   198.834951
+    94  12288.0  814.111783      415.661740   199.096718
+    95  12416.0  812.498981      411.296057   198.854847
+    96  12544.0  812.566838      412.971190   199.012395
+    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  20.998 seconds)
+   **Total running time of the script:** ( 3 minutes  22.710 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 3b6f9c12c..f4fb9c21b 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  ...   2.978909              2.978909
+    0    256.0   2.730667  ...   3.276800              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  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  ...  34.028308             34.028308
-    5    896.0  39.025776  ...  40.140799             39.025776
+    5    896.0  37.971025  ...  40.140799             39.025776
     6   1024.0  51.150050  ...  52.428801             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.109587
-    9   1408.0  64.138541  ...  67.305878             66.485074
-    10  1536.0  80.430545  ...  79.526831             78.643199
-    11  1664.0  62.929456  ...  62.061463             62.061463
-    12  1792.0  72.512412  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.530615             70.530615
-    14  2048.0  73.908442  ...  76.959706             76.959706
+    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  ...  70.172588             70.172588
+    14  2048.0  73.908442  ...  77.314362             76.959706
     15  2176.0  83.500614  ...  86.367588             85.632545
     16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  85.393507             84.367759
-    18  2560.0  77.833728  ...  80.908642             80.908642
-    19  2688.0  83.737433  ...  89.254248             89.464755
-    20  2816.0  82.759409  ...  82.916747             82.759409
-    21  2944.0  81.967162  ...  82.373605             82.102191
-    22  3072.0  80.316458  ...  84.197924             89.240511
-    23  3200.0  84.880639  ...  95.952022             94.674553
-    24  3328.0  82.748617  ...  84.895397             84.695641
-    25  3456.0  81.849303  ...  91.097818             90.790053
-    26  3584.0  84.865870  ...  87.211821             94.548254
-    27  3712.0  85.455380  ...  86.192706             89.473662
-    28  3840.0  80.197243  ...  89.839159             88.438226
-    29  3968.0  85.810547  ...  84.214331             87.787005
-    30  4096.0  92.820009  ...  93.206754             86.313653
+    17  2432.0  71.305746  ...  74.918570             84.877538
+    18  2560.0  77.833728  ...  81.512437             80.709358
+    19  2688.0  83.369354  ...  89.888756             90.102270
+    20  2816.0  79.733474  ...  82.759409             82.602666
+    21  2944.0  81.698415  ...  82.373605             79.610276
+    22  3072.0  82.540970  ...  88.335577             88.060814
+    23  3200.0  83.660130  ...  95.238096             95.096582
+    24  3328.0  83.130825  ...  84.101981             84.596116
+    25  3456.0  79.430113  ...  84.775569             88.304015
+    26  3584.0  87.296493  ...  98.483450             92.600816
+    27  3712.0  84.946722  ...  86.267139             82.084920
+    28  3840.0  84.744825  ...  92.159996             84.162386
+    29  3968.0  92.512459  ...  83.406657             91.266964
+    30  4096.0  86.619150  ...  86.064590             90.443212
 
     [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  21.530 seconds)
+   **Total running time of the script:** ( 5 minutes  23.067 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index 3a385a5bb..5a1f9b31a 100644
--- a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -238,7 +238,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.011 seconds)
+   **Total running time of the script:** ( 0 minutes  0.012 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index 12140768f..e7491137b 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
-    1    1536.0  351.085717  133.083026  338.201833
-    2    2048.0  423.724127  161.684218  336.657521
-    3    2560.0  461.954908  182.314537  328.556154
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-    5    3584.0  554.941930  208.271186  308.301075
-    6    4096.0  568.231237  220.412561  297.890900
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-    9    5632.0  536.380957  243.545956  291.310338
-    10   6144.0  542.117638  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  260.338991  276.756754
-    14   8192.0  460.440290  269.326017  287.018988
-    15   8704.0  416.958106  267.472468  284.987724
-    16   9216.0  428.651187  273.066667  289.507855
-    17   9728.0  438.857162  280.615388  288.950501
+    0    1024.0  311.088617   97.912354  303.407414
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+    4    3072.0  519.211251  192.501302  321.956335
+    5    3584.0  554.941930  208.776702  311.652167
+    6    4096.0  571.534884  220.412561  299.707322
+    7    4608.0  500.416301  233.316456  286.507772
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+    11   6656.0  528.953642  256.000009  286.279570
+    12   7168.0  508.970395  259.867079  285.767449
+    13   7680.0  483.779539  263.314295  279.272719
+    14   8192.0  461.521112  267.493874  284.939124
+    15   8704.0  416.127506  267.815384  285.377055
+    16   9216.0  431.157889  271.724806  289.129410
+    17   9728.0  438.033784  280.615388  289.308559
     18  10240.0  447.650282  286.767793  290.153487
-    19  10752.0  429.364408  246.464170  290.267711
-    20  11264.0  429.786952  245.313973  285.767446
-    21  11776.0  421.198220  249.447482  288.686414
-    22  12288.0  420.102570  254.673582  294.911986
-    23  12800.0  415.135142  253.674644  289.811310
-    24  13312.0  412.242569  252.659556  290.179836
-    25  13824.0  405.098897  257.390218  292.571423
-    26  14336.0  398.222222  254.862216  286.481278
-    27  14848.0  383.999990  257.293872  289.246765
-    28  15360.0  374.634130  257.610071  288.000007
-    29  15872.0  367.336555  262.890274  291.229369
+    19  10752.0  430.797982  246.699797  290.267711
+    20  11264.0  429.104745  245.760001  287.285864
+    21  11776.0  423.089806  249.667843  288.981596
+    22  12288.0  418.909088  254.673582  294.911986
+    23  12800.0  415.696898  253.256381  289.538159
+    24  13312.0  412.242569  252.759501  290.707920
+    25  13824.0  405.594132  257.190689  292.313649
+    26  14336.0  398.683664  254.485198  286.959121
+    27  14848.0  385.245405  257.479779  289.717061
+    28  15360.0  376.547496  258.151252  287.326580
+    29  15872.0  368.402336  261.986243  289.899545
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.291 seconds)
+   **Total running time of the script:** ( 2 minutes  9.504 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 d607fb147..7194584eb 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
 =================
-**12:36.056** total execution time for **getting-started_tutorials** files:
+**12:32.325** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:21.530 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.067 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:20.998 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.710 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.291 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:09.504 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.226 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:37.033 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.011 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
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 f9173886c..33288ae65 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,10 +324,10 @@ for different problem sizes.</p>
 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   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
+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
@@ -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  41.226 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  37.033 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 17d10f360..e57acbddb 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   188.321838
-1     384.0  614.400016      585.142862   153.600004
+0     256.0  546.133347      546.133347   190.511628
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 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  814.058574      406.179533   198.429370
-94  12288.0  814.111783      415.661740   198.895304
-95  12416.0  812.498981      412.149375   198.457532
-96  12544.0  812.566838      412.971190   198.716830
-97  12672.0  812.633240      412.097543   198.776477
+93  12160.0  812.359066      405.755985   198.834951
+94  12288.0  814.111783      415.661740   199.096718
+95  12416.0  812.498981      411.296057   198.854847
+96  12544.0  812.566838      412.971190   199.012395
+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  20.998 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.710 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">
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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 54fb93050..0b5e1249b 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  ...   2.978909              2.978909
+0    256.0   2.730667  ...   3.276800              2.978909
 1    384.0   7.372800  ...   8.507077              8.507077
-2    512.0  14.563555  ...  15.420235             15.420235
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-5    896.0  39.025776  ...  40.140799             39.025776
+5    896.0  37.971025  ...  40.140799             39.025776
 6   1024.0  51.150050  ...  52.428801             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
-8   1280.0  51.200001  ...  56.888887             56.109587
-9   1408.0  64.138541  ...  67.305878             66.485074
-10  1536.0  80.430545  ...  79.526831             78.643199
-11  1664.0  62.929456  ...  62.061463             62.061463
-12  1792.0  72.512412  ...  72.047592             71.588687
-13  1920.0  69.120002  ...  70.530615             70.530615
-14  2048.0  73.908442  ...  76.959706             76.959706
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+11  1664.0  63.372618  ...  62.492442             62.061463
+12  1792.0  72.983276  ...  72.512412             72.047592
+13  1920.0  69.120002  ...  70.172588             70.172588
+14  2048.0  73.908442  ...  77.314362             76.959706
 15  2176.0  83.500614  ...  86.367588             85.632545
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-17  2432.0  71.305746  ...  85.393507             84.367759
-18  2560.0  77.833728  ...  80.908642             80.908642
-19  2688.0  83.737433  ...  89.254248             89.464755
-20  2816.0  82.759409  ...  82.916747             82.759409
-21  2944.0  81.967162  ...  82.373605             82.102191
-22  3072.0  80.316458  ...  84.197924             89.240511
-23  3200.0  84.880639  ...  95.952022             94.674553
-24  3328.0  82.748617  ...  84.895397             84.695641
-25  3456.0  81.849303  ...  91.097818             90.790053
-26  3584.0  84.865870  ...  87.211821             94.548254
-27  3712.0  85.455380  ...  86.192706             89.473662
-28  3840.0  80.197243  ...  89.839159             88.438226
-29  3968.0  85.810547  ...  84.214331             87.787005
-30  4096.0  92.820009  ...  93.206754             86.313653
+17  2432.0  71.305746  ...  74.918570             84.877538
+18  2560.0  77.833728  ...  81.512437             80.709358
+19  2688.0  83.369354  ...  89.888756             90.102270
+20  2816.0  79.733474  ...  82.759409             82.602666
+21  2944.0  81.698415  ...  82.373605             79.610276
+22  3072.0  82.540970  ...  88.335577             88.060814
+23  3200.0  83.660130  ...  95.238096             95.096582
+24  3328.0  83.130825  ...  84.101981             84.596116
+25  3456.0  79.430113  ...  84.775569             88.304015
+26  3584.0  87.296493  ...  98.483450             92.600816
+27  3712.0  84.946722  ...  86.267139             82.084920
+28  3840.0  84.744825  ...  92.159996             84.162386
+29  3968.0  92.512459  ...  83.406657             91.266964
+30  4096.0  86.619150  ...  86.064590             90.443212
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  21.530 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  23.067 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
index 80bb98b3a..a577c8b26 100644
--- a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
+++ b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
@@ -371,7 +371,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
 </dd>
 </dl>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.012 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">04-low-memory-dropout.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 2b9bf2741..cd97946f0 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
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-1    1536.0  351.085717  133.083026  338.201833
-2    2048.0  423.724127  161.684218  336.657521
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-7    4608.0  498.162157  231.849059  286.507772
-8    5120.0  525.128191  242.845844  283.787523
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