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 # Sphinx build info version 1
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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 e96ab9d9b..11605f47b 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 d9812803e..9c236d9ad 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -241,13 +241,13 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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  702.171410
-    10    4194304.0  780.190482  780.190482
+    9     2097152.0  702.171410  702.171410
+    10    4194304.0  780.190482  768.000002
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
     13   33554432.0  842.004273  842.004273
     14   67108864.0  847.448255  848.362445
-    15  134217728.0  850.196756  850.656574
+    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  52.088 seconds)
+   **Total running time of the script:** ( 1 minutes  48.554 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 d9f0122ba..30b125fb6 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  512.000001      546.133347   190.511628
-    1     384.0  585.142862      558.545450   149.853661
-    2     512.0  655.360017      585.142849   154.566038
-    3     640.0  682.666684      640.000002   158.759699
-    4     768.0  722.823517      646.736871   162.754967
+    0     256.0  512.000001      546.133347   186.181817
+    1     384.0  438.857137      558.545450   151.703707
+    2     512.0  468.114273      585.142849   154.566038
+    3     640.0  465.454542      640.000002   158.759699
+    4     768.0  472.615390      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  815.765209      405.755985   198.631953
-    94  12288.0  814.111783      416.101597   198.794749
-    95  12416.0  815.835709      412.149375   198.457532
-    96  12544.0  814.214963      412.971190   198.618504
-    97  12672.0  814.265046      412.097543   198.776477
+    93  12160.0  478.034381      405.333344   198.834951
+    94  12288.0  484.256150      415.222812   199.096718
+    95  12416.0  461.454135      411.296057   198.755369
+    96  12544.0  458.228323      412.971190   198.815254
+    97  12672.0  458.196617      411.679167   198.971549
 
     [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  32.198 seconds)
+   **Total running time of the script:** ( 3 minutes  10.849 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 80b2ae330..036ba39af 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,36 +459,36 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
     0    256.0   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   7.899428              8.507077
-    2    512.0  14.563555  ...  15.420235             16.384000
+    1    384.0   7.372800  ...   8.507077              8.507077
+    2    512.0  14.563555  ...  15.420235             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  31.597714  ...  34.028308             34.028308
-    5    896.0  36.971791  ...  40.140799             39.025776
-    6   1024.0  48.770977  ...  52.428801             52.428801
-    7   1152.0  43.911529  ...  46.656000             46.656000
-    8   1280.0  49.951220  ...  56.888887             56.109587
-    9   1408.0  62.664092  ...  67.305878             66.485074
-    10  1536.0  78.643199  ...  78.643199             77.778988
-    11  1664.0  61.636381  ...  62.061463             61.636381
-    12  1792.0  71.588687  ...  67.707374             67.707374
-    13  1920.0  67.764707  ...  70.172588             69.818184
-    14  2048.0  72.005219  ...  76.608294             76.260072
-    15  2176.0  81.803444  ...  85.632545             85.269692
-    16  2304.0  67.100763  ...  76.563695             76.319081
-    17  2432.0  69.886725  ...  74.323979             73.932798
-    18  2560.0  76.382283  ...  80.908642             80.511054
-    19  2688.0  82.642823  ...  89.676257             89.254248
-    20  2816.0  82.602666  ...  82.916747             82.759409
-    21  2944.0  81.166173  ...  82.509987             82.169877
-    22  3072.0  81.005868  ...  88.197981             88.060814
-    23  3200.0  83.660130  ...  95.522391             95.096582
-    24  3328.0  82.369902  ...  84.795401             84.596116
-    25  3456.0  81.026701  ...  91.304157             90.994998
-    26  3584.0  86.374055  ...  98.699661             98.375705
-    27  3712.0  84.874549  ...  88.876645             88.483034
-    28  3840.0  84.036474  ...  92.545605             92.159996
-    29  3968.0  92.232760  ...  91.062642             91.403695
-    30  4096.0  93.206754  ...  93.012976             92.820009
+    4    768.0  32.768000  ...  34.028308             34.028308
+    5    896.0  37.971025  ...  40.140799             40.140799
+    6   1024.0  49.932191  ...  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  79.526831  ...  79.526831             79.526831
+    11  1664.0  62.929456  ...  62.929456             62.492442
+    12  1792.0  72.512412  ...  63.142831             62.790080
+    13  1920.0  69.120002  ...  71.626943             70.892307
+    14  2048.0  73.584279  ...  78.033565             77.672296
+    15  2176.0  83.155572  ...  87.115360             86.739860
+    16  2304.0  68.251065  ...  78.064941             77.558029
+    17  2432.0  71.125224  ...  75.522751             75.320281
+    18  2560.0  77.833728  ...  82.331658             81.920002
+    19  2688.0  83.645109  ...  90.102270             90.102270
+    20  2816.0  80.026067  ...  83.712490             81.981598
+    21  2944.0  82.509987  ...  82.852924             82.646820
+    22  3072.0  82.540970  ...  86.845249             89.593522
+    23  3200.0  84.993363  ...  96.240602             96.096095
+    24  3328.0  83.034941  ...  83.905938             82.843841
+    25  3456.0  81.849303  ...  89.679166             90.382926
+    26  3584.0  85.797134  ...  93.467144             98.483450
+    27  3712.0  85.748791  ...  86.754095             88.170647
+    28  3840.0  81.798814  ...  87.841141             91.473945
+    29  3968.0  85.871877  ...  92.582651             84.738843
+    30  4096.0  94.386588  ...  84.894196             82.722796
 
     [31 rows x 5 columns]
 
@@ -498,7 +498,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 6 minutes  41.514 seconds)
+   **Total running time of the script:** ( 6 minutes  44.900 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index 40284401e..5c5c5d5ad 100644
--- a/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -240,7 +240,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.411 seconds)
+   **Total running time of the script:** ( 0 minutes  0.325 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index 91f67d60a..512c1276d 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  356.173905   96.755900  299.707322
-    1    1536.0  400.695643  133.083026  338.201833
-    2    2048.0  486.653476  159.584422  321.254900
-    3    2560.0  455.111129  179.649115  323.368411
-    4    3072.0  508.468972  191.005181  320.556515
-    5    3584.0  551.384634  206.769233  310.527060
-    6    4096.0  558.545450  219.919464  297.890900
-    7    4608.0  493.714279  231.364016  285.767436
-    8    5120.0  518.481012  241.414550  283.133649
-    9    5632.0  534.260858  241.803217  288.820505
-    10   6144.0  540.131844  247.409397  285.214712
-    11   6656.0  525.473708  255.182111  284.748652
-    12   7168.0  503.017523  259.084340  283.881181
-    13   7680.0  482.513091  262.190612  275.104486
-    14   8192.0  463.698115  265.686491  283.296835
-    15   8704.0  406.412440  266.789264  283.826081
-    16   9216.0  419.703988  270.727053  287.251954
-    17   9728.0  428.388977  279.942444  288.950501
-    18  10240.0  437.295395  285.104413  286.767793
-    19  10752.0  424.421071  245.292781  289.291486
-    20  11264.0  423.724120  244.426754  286.069848
-    21  11776.0  418.702211  247.915800  288.097854
-    22  12288.0  414.784810  253.578674  293.737063
-    23  12800.0  409.327110  252.631590  287.371378
-    24  13312.0  408.030638  252.360194  289.653667
-    25  13824.0  403.620451  256.197690  291.287079
-    26  14336.0  394.116833  253.921779  286.242939
-    27  14848.0  384.829370  257.108233  289.246765
-    28  15360.0  380.041240  257.071134  284.884090
-    29  15872.0  370.913333  260.731015  289.679087
+    0    1024.0  114.306981   98.698793  315.076934
+    1    1536.0  118.153850  132.604320  341.333333
+    2    2048.0  125.068704  159.584422  332.108094
+    3    2560.0  119.300966  180.705883  332.108113
+    4    3072.0  123.912607  191.005181  320.556515
+    5    3584.0  127.809806  207.267476  310.527060
+    6    4096.0  130.723400  220.907859  296.990947
+    7    4608.0  105.325718  232.336141  287.999990
+    8    5120.0  108.647215  241.414550  283.787523
+    9    5632.0  109.714290  241.371422  288.204696
+    10   6144.0  112.133840  249.502530  287.438593
+    11   6656.0  112.733948  254.775119  285.257135
+    12   7168.0  114.994654  257.147993  281.098038
+    13   7680.0  115.128047  264.068761  281.834874
+    14   8192.0  115.856217  267.493874  282.889211
+    15   8704.0   94.054934  264.091015  282.673891
+    16   9216.0   96.755908  271.391419  287.625496
+    17   9728.0   97.768843  280.615388  288.950501
+    18  10240.0  100.105904  285.104413  289.129408
+    19  10752.0  101.036809  246.464170  290.594591
+    20  11264.0  102.945926  245.536784  286.676558
+    21  11776.0  103.601171  249.447482  288.981596
+    22  12288.0  106.159829  254.673582  294.911986
+    23  12800.0  106.187352  253.884294  289.811310
+    24  13312.0  107.463167  251.962147  289.129403
+    25  13824.0  107.544896  256.792581  292.313649
+    26  14336.0  109.435116  254.673567  287.198654
+    27  14848.0  109.276912  255.266469  289.481735
+    28  15360.0  110.669469  260.338991  290.496454
+    29  15872.0  110.863792  263.071829  291.898841
 
 
 
@@ -339,7 +339,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  16.519 seconds)
+   **Total running time of the script:** ( 2 minutes  2.489 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.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 4878cf389..158481bdc 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**14:22.730** total execution time for **getting-started_tutorials** files:
+**13:47.116** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:41.514 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:44.900 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.198 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:10.849 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:16.519 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:02.489 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:52.088 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:48.554 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.411 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.325 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 4b63c4d5c..1bad125c9 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -331,16 +331,16 @@ for different problem sizes.</p>
 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  702.171410
-10    4194304.0  780.190482  780.190482
+9     2097152.0  702.171410  702.171410
+10    4194304.0  780.190482  768.000002
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
 13   33554432.0  842.004273  842.004273
 14   67108864.0  847.448255  848.362445
-15  134217728.0  850.196756  850.656574
+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  52.088 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  48.554 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 6c9e7b30a..937e907fb 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -369,17 +369,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   190.511628
-1     384.0  585.142862      558.545450   149.853661
-2     512.0  655.360017      585.142849   154.566038
-3     640.0  682.666684      640.000002   158.759699
-4     768.0  722.823517      646.736871   162.754967
+0     256.0  512.000001      546.133347   186.181817
+1     384.0  438.857137      558.545450   151.703707
+2     512.0  468.114273      585.142849   154.566038
+3     640.0  465.454542      640.000002   158.759699
+4     768.0  472.615390      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  815.765209      405.755985   198.631953
-94  12288.0  814.111783      416.101597   198.794749
-95  12416.0  815.835709      412.149375   198.457532
-96  12544.0  814.214963      412.971190   198.618504
-97  12672.0  814.265046      412.097543   198.776477
+93  12160.0  478.034381      405.333344   198.834951
+94  12288.0  484.256150      415.222812   199.096718
+95  12416.0  461.454135      411.296057   198.755369
+96  12544.0  458.228323      412.971190   198.815254
+97  12672.0  458.196617      411.679167   198.971549
 
 [98 rows x 4 columns]
 </pre></div>
@@ -392,7 +392,7 @@ 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  32.198 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  10.849 seconds)</p>
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diff --git a/v1.1.2/_images/sphx_glr_02-fused-softmax_001.png b/v1.1.2/_images/sphx_glr_02-fused-softmax_001.png
index 3ba4d169e..6df63b101 100644
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diff --git a/v1.1.2/_images/sphx_glr_02-fused-softmax_thumb.png b/v1.1.2/_images/sphx_glr_02-fused-softmax_thumb.png
index daa2dfa83..2c78d4d39 100644
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diff --git a/v1.1.2/_images/sphx_glr_03-matrix-multiplication_001.png b/v1.1.2/_images/sphx_glr_03-matrix-multiplication_001.png
index 9666586f1..abc00d887 100644
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diff --git a/v1.1.2/_images/sphx_glr_03-matrix-multiplication_thumb.png b/v1.1.2/_images/sphx_glr_03-matrix-multiplication_thumb.png
index 8a16570c3..afc0735de 100644
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diff --git a/v1.1.2/_images/sphx_glr_05-layer-norm_001.png b/v1.1.2/_images/sphx_glr_05-layer-norm_001.png
index 777beba25..e891f2d13 100644
Binary files a/v1.1.2/_images/sphx_glr_05-layer-norm_001.png and b/v1.1.2/_images/sphx_glr_05-layer-norm_001.png differ
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 2ac8c92dc..d71b66d85 100644
Binary files a/v1.1.2/_images/sphx_glr_05-layer-norm_thumb.png and b/v1.1.2/_images/sphx_glr_05-layer-norm_thumb.png differ
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 1e537a43b..d31e5e5b9 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
@@ -234,7 +234,7 @@ 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  341.333321
@@ -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  45.678 seconds)
+   **Total running time of the script:** ( 1 minutes  47.625 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 06642d561..9fa26d887 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      512.000001   190.511628
+    0     256.0  512.000001      546.133347   188.321838
     1     384.0  585.142862      558.545450   151.703707
-    2     512.0  655.360017      585.142849   153.121496
-    3     640.0  682.666684      620.606056   158.759699
-    4     768.0  702.171410      664.216187   162.754967
+    2     512.0  655.360017      585.142849   154.566038
+    3     640.0  682.666684      640.000002   158.759699
+    4     768.0  722.823517      646.736871   163.839992
     ..      ...         ...             ...          ...
-    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   198.755369
-    96  12544.0  812.566838      413.396498   198.815254
-    97  12672.0  812.633240      412.097543   198.971549
+    93  12160.0  812.359066      405.755985   199.038365
+    94  12288.0  814.111783      415.222812   199.298541
+    95  12416.0  812.498981      411.722274   198.954424
+    96  12544.0  812.566838      412.971190   199.209928
+    97  12672.0  812.633240      411.679167   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  25.305 seconds)
+   **Total running time of the script:** ( 3 minutes  22.457 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 108962cff..da79db8f0 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -463,36 +463,36 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
     0    256.0   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   7.899428              7.899428
+    1    384.0   7.372800  ...   8.507077              7.899428
     2    512.0  14.563555  ...  15.420235             15.420235
-    3    640.0  22.260869  ...  24.380953             23.272727
+    3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  39.025776             37.971025
-    6   1024.0  49.932191  ...  52.428801             51.150050
-    7   1152.0  43.911529  ...  45.938215             45.938215
-    8   1280.0  49.951220  ...  55.351349             55.351349
-    9   1408.0  62.664092  ...  65.684049             64.902096
-    10  1536.0  78.643199  ...  77.778988             76.933564
-    11  1664.0  61.636381  ...  60.803457             60.803457
-    12  1792.0  71.588687  ...  70.688200             70.246402
-    13  1920.0  67.764707  ...  68.776119             68.776119
-    14  2048.0  72.315584  ...  75.573044             75.234154
-    15  2176.0  81.803444  ...  84.553145             84.199364
-    16  2304.0  67.100763  ...  75.356064             75.119093
-    17  2432.0  69.886725  ...  84.115159             83.366361
-    18  2560.0  76.382283  ...  79.921950             79.533982
-    19  2688.0  82.642823  ...  88.216412             88.422041
-    20  2816.0  83.074685  ...  82.213395             81.827785
-    21  2944.0  81.298583  ...  81.431424             81.298583
-    22  3072.0  80.890151  ...  87.651868             87.651868
-    23  3200.0  83.989503  ...  94.674553             93.841640
-    24  3328.0  82.369902  ...  83.905938             83.905938
-    25  3456.0  80.945348  ...  90.484366             90.180725
-    26  3584.0  86.125852  ...  97.311031             97.628001
-    27  3712.0  85.019017  ...  87.860458             87.706180
-    28  3840.0  84.292684  ...  91.209894             90.947372
-    29  3968.0  92.652949  ...  90.522206             90.522206
-    30  4096.0  93.045216  ...  92.372834             91.867031
+    5    896.0  37.971025  ...  39.025776             39.025776
+    6   1024.0  49.932191  ...  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             65.684049
+    10  1536.0  79.526831  ...  79.526831             78.643199
+    11  1664.0  62.929456  ...  62.061463             62.061463
+    12  1792.0  72.983276  ...  72.047592             71.588687
+    13  1920.0  68.776119  ...  70.172588             70.172588
+    14  2048.0  73.584279  ...  76.959706             76.608294
+    15  2176.0  83.155572  ...  85.998493             85.269692
+    16  2304.0  68.251065  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  83.366361             84.115159
+    18  2560.0  77.833728  ...  80.908642             80.511054
+    19  2688.0  83.922689  ...  89.676257             89.464755
+    20  2816.0  84.605647  ...  82.759409             82.759409
+    21  2944.0  82.509987  ...  82.509987             82.237674
+    22  3072.0  81.825298  ...  87.381335             87.651868
+    23  3200.0  84.993363  ...  92.888243             95.522391
+    24  3328.0  83.468170  ...  83.323259             83.419811
+    25  3456.0  82.519518  ...  90.994998             91.097818
+    26  3584.0  84.825838  ...  93.661869             97.205829
+    27  3712.0  85.785610  ...  89.957089             89.114488
+    28  3840.0  81.798814  ...  89.043476             91.625518
+    29  3968.0  86.023220  ...  91.747320             84.738843
+    30  4096.0  94.419788  ...  90.995066             88.185107
 
     [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:** ( 6 minutes  4.717 seconds)
+   **Total running time of the script:** ( 5 minutes  59.967 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 9e37ecad9..d93bbde22 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  0.182 seconds)
+   **Total running time of the script:** ( 0 minutes  0.112 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 1002629c4..6ff9b1022 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  303.407414   98.698793  307.200008
-    1    1536.0  344.523365  134.050910  341.333333
-    2    2048.0  420.102553  160.104230  321.254900
-    3    2560.0  455.111129  181.775141  326.808501
-    4    3072.0  498.162140  190.511624  313.736171
-    5    3584.0  540.981122  205.779899  310.527060
-    6    4096.0  558.545450  220.412561  300.623865
-    7    4608.0  489.345125  231.849059  287.999990
-    8    5120.0  520.677950  241.889751  285.104413
-    9    5632.0  530.070605  240.941167  287.591490
-    10   6144.0  538.160602  249.502530  286.322318
-    11   6656.0  532.479975  254.369423  285.257135
-    12   7168.0  513.528374  254.109315  278.368936
-    13   7680.0  486.332448  264.068761  282.699379
-    14   8192.0  460.440290  269.695465  282.889211
-    15   8704.0  408.000001  261.774429  281.530996
-    16   9216.0  420.501910  271.724806  289.507855
-    17   9728.0  429.176463  279.607181  288.950501
-    18  10240.0  439.642212  284.774046  288.789653
-    19  10752.0  424.421071  245.760009  290.267711
-    20  11264.0  425.725982  241.587127  284.564206
-    21  11776.0  418.702211  249.227509  288.391833
-    22  12288.0  420.701865  252.709503  292.571431
-    23  12800.0  413.458944  253.465340  288.180121
-    24  13312.0  411.181478  250.972500  289.129403
-    25  13824.0  403.620451  256.593977  291.543045
-    26  14336.0  397.761846  253.360829  287.438588
-    27  14848.0  386.080180  259.353715  291.137253
-    28  15360.0  378.480483  259.240506  288.676598
-    29  15872.0  366.629453  260.196726  289.019722
+    0    1024.0  307.200008   97.912354  299.707322
+    1    1536.0  347.773587  134.050910  338.201833
+    2    2048.0  423.724127  161.154101  323.368435
+    3    2560.0  465.454542  180.705883  326.808501
+    4    3072.0  511.999982  192.501302  320.556515
+    5    3584.0  551.384634  208.271186  309.410081
+    6    4096.0  568.231237  220.412561  291.703260
+    7    4608.0  495.928261  232.825259  290.267724
+    8    5120.0  525.128191  242.366855  284.444444
+    9    5632.0  538.517949  243.107920  288.820505
+    10   6144.0  542.117638  248.661056  286.879370
+    11   6656.0  528.953642  255.590406  285.257135
+    12   7168.0  505.976473  260.260201  285.293536
+    13   7680.0  485.052616  262.938666  280.121579
+    14   8192.0  460.440290  266.046015  284.526763
+    15   8704.0  416.127506  267.472468  284.987724
+    16   9216.0  429.483477  271.391419  288.375482
+    17   9728.0  437.213490  280.278512  290.027323
+    18  10240.0  446.025405  286.100109  289.811322
+    19  10752.0  430.079980  246.935876  290.267711
+    20  11264.0  429.786952  245.536784  286.980888
+    21  11776.0  423.089806  249.667843  289.277383
+    22  12288.0  419.504980  254.453844  294.617366
+    23  12800.0  414.016170  253.884294  288.180121
+    24  13312.0  412.242569  252.959629  290.443638
+    25  13824.0  406.090579  257.390218  292.056329
+    26  14336.0  396.158905  254.862216  287.198654
+    27  14848.0  386.498925  257.665934  289.481735
+    28  15360.0  376.163261  257.790220  286.656296
+    29  15872.0  368.402336  261.626369  290.562936
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  13.422 seconds)
+   **Total running time of the script:** ( 2 minutes  11.521 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 f83fd1b86..a1f86c195 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
 =================
-**13:29.304** total execution time for **getting-started_tutorials** files:
+**13:21.683** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.717 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:59.967 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:25.305 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.457 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:13.422 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.521 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.678 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:47.625 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.182 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.112 | 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 a49a4e1a8..96582c05d 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,7 +324,7 @@ 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  341.333321
@@ -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  45.678 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  47.625 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 ac5a505b9..21075073f 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      512.000001   190.511628
+0     256.0  512.000001      546.133347   188.321838
 1     384.0  585.142862      558.545450   151.703707
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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 172c5a05d..f85db7ec7 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
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diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
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