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diff --git a/v1.1.2/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip b/v1.1.2/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip
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diff --git a/v1.1.2/_images/sphx_glr_01-vector-add_001.png b/v1.1.2/_images/sphx_glr_01-vector-add_001.png
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diff --git a/v1.1.2/_images/sphx_glr_01-vector-add_thumb.png b/v1.1.2/_images/sphx_glr_01-vector-add_thumb.png
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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 a51fdbac4..866fe5e25 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
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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 842288144..a2fbfb814 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 c90e750d6..2348ab874 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 61b6c4f45..4c274b3db 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
@@ -232,19 +232,19 @@ 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
-    1        8192.0   19.200000   19.200000
+    1        8192.0   19.200000   15.999999
     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
+    6      262144.0  341.333321  384.000001
     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
     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
 
@@ -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  31.098 seconds)
+   **Total running time of the script:** ( 1 minutes  28.027 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 a65fb6102..fb566741a 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   184.089886
-    1     384.0  585.142862      558.545450   151.703707
+    0     256.0  512.000001      512.000001   192.752942
+    1     384.0  585.142862      585.142862   153.600004
     2     512.0  655.360017      585.142849   154.566038
     3     640.0  682.666684      640.000002   160.000000
-    4     768.0  702.171410      664.216187   162.754967
+    4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.834951
-    94  12288.0  814.111783      415.661740   199.096718
-    95  12416.0  812.498981      412.149375   198.655991
-    96  12544.0  812.566838      412.971190   198.913776
-    97  12672.0  812.633240      412.097543   199.069228
+    93  12160.0  814.058574      406.179533   198.429370
+    94  12288.0  814.111783      415.661740   198.694297
+    95  12416.0  812.498981      411.722274   198.259492
+    96  12544.0  812.566838      412.971190   198.618504
+    97  12672.0  812.633240      411.679167   198.679085
 
     [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  16.603 seconds)
+   **Total running time of the script:** ( 3 minutes  19.106 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 81a2e2603..481dbb055 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
@@ -464,35 +464,35 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
     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  ...  15.420235             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  39.025776             39.025776
-    6   1024.0  49.932191  ...  52.428801             52.428801
+    5    896.0  39.025776  ...  40.140799             39.025776
+    6   1024.0  49.932191  ...  53.773130             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
+    9   1408.0  64.138541  ...  67.305878             65.684049
     10  1536.0  80.430545  ...  79.526831             78.643199
-    11  1664.0  63.372618  ...  62.061463             62.061463
-    12  1792.0  72.983276  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.172588             69.818184
-    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  71.125224  ...  83.614477             84.367759
-    18  2560.0  77.833728  ...  80.709358             80.313727
-    19  2688.0  83.737433  ...  89.888756             89.254248
-    20  2816.0  84.035084  ...  83.392363             83.392363
-    21  2944.0  81.431424  ...  83.060049             82.921853
-    22  3072.0  81.943708  ...  88.890270             88.681451
-    23  3200.0  85.106381  ...  92.888243             95.309011
-    24  3328.0  83.371507  ...  84.995628             84.695641
-    25  3456.0  82.519518  ...  91.511426             90.994998
-    26  3584.0  84.825838  ...  93.661869             95.350361
-    27  3712.0  85.163978  ...  88.092894             89.035062
-    28  3840.0  84.356981  ...  91.930177             90.426819
-    29  3968.0  93.648452  ...  84.154440             91.266964
-    30  4096.0  88.504930  ...  86.760004             92.372834
+    11  1664.0  63.372618  ...  62.492442             62.061463
+    12  1792.0  72.983276  ...  72.512412             71.588687
+    13  1920.0  69.120002  ...  70.530615             70.530615
+    14  2048.0  73.908442  ...  77.314362             76.959706
+    15  2176.0  83.500614  ...  86.367588             85.632545
+    16  2304.0  68.251065  ...  77.057651             76.563695
+    17  2432.0  71.125224  ...  85.134737             84.367759
+    18  2560.0  77.833728  ...  81.310171             80.908642
+    19  2688.0  83.552988  ...  90.102270             89.464755
+    20  2816.0  83.392363  ...  83.392363             82.916747
+    21  2944.0  82.102191  ...  82.646820             82.102191
+    22  3072.0  82.301023  ...  88.612060             88.473602
+    23  3200.0  84.880639  ...  95.665176             95.096582
+    24  3328.0  84.101981  ...  84.496824             84.496824
+    25  3456.0  81.890873  ...  88.790274             90.892410
+    26  3584.0  87.211821  ...  90.549237             97.628001
+    27  3712.0  85.748791  ...  93.014284             87.475786
+    28  3840.0  83.591840  ...  92.083268             88.261772
+    29  3968.0  93.648452  ...  90.154371             86.788006
+    30  4096.0  92.627833  ...  87.438257             82.340585
 
     [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  11.940 seconds)
+   **Total running time of the script:** ( 5 minutes  26.690 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..488f56f60 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  0.372 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 e8789c7f7..5786f7831 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  307.200008   98.303995  303.407414
-    1    1536.0  351.085717  133.083026  341.333333
-    2    2048.0  420.102553  161.684218  334.367350
-    3    2560.0  461.954908  182.314537  326.808501
-    4    3072.0  511.999982  191.501303  317.793096
-    5    3584.0  551.384634  207.768111  309.410081
-    6    4096.0  568.231237  219.919464  296.096389
-    7    4608.0  498.162157  232.336141  286.507772
-    8    5120.0  525.128191  242.366855  284.444444
-    9    5632.0  538.517949  243.107920  289.438969
-    10   6144.0  540.131844  248.242431  285.767458
-    11   6656.0  527.207907  256.000009  285.767438
-    12   7168.0  507.469040  261.446807  287.678923
-    13   7680.0  482.513091  261.446804  278.850215
-    14   8192.0  461.521112  267.858310  287.018988
-    15   8704.0  417.791980  267.130429  284.987724
-    16   9216.0  430.319054  272.059034  288.563595
-    17   9728.0  439.683593  280.278512  289.308559
-    18  10240.0  445.217381  286.433562  291.184826
-    19  10752.0  427.940303  246.699797  290.267711
-    20  11264.0  428.424741  245.091565  286.372873
-    21  11776.0  421.826879  249.447482  288.391833
-    22  12288.0  419.504980  254.673582  294.911986
-    23  12800.0  414.016170  253.674644  288.180121
-    24  13312.0  412.242569  252.360194  289.653667
-    25  13824.0  405.594132  257.190689  291.543045
-    26  14336.0  397.761846  254.109315  286.481278
-    27  14848.0  386.498925  257.293872  289.952797
-    28  15360.0  376.932517  257.970599  287.550706
-    29  15872.0  366.982663  262.708969  291.229369
+    0    1024.0  307.200008   99.096776  307.200008
+    1    1536.0  351.085717  133.083026  338.201833
+    2    2048.0  423.724127  161.684218  334.367350
+    3    2560.0  458.507457  182.857144  328.556154
+    4    3072.0  511.999982  191.501303  320.556515
+    5    3584.0  551.384634  208.271186  308.301075
+    6    4096.0  568.231237  220.412561  298.796351
+    7    4608.0  495.928261  231.849059  286.507772
+    8    5120.0  522.893618  242.845844  283.787523
+    9    5632.0  536.380957  243.107920  291.310338
+    10   6144.0  542.117638  248.661056  286.322318
+    11   6656.0  525.473708  256.000009  286.279570
+    12   7168.0  505.976473  261.844750  288.160801
+    13   7680.0  481.253256  260.338991  277.172933
+    14   8192.0  460.440290  268.957600  286.600589
+    15   8704.0  416.958106  267.815384  284.987724
+    16   9216.0  428.651187  272.729961  289.507855
+    17   9728.0  438.857162  280.278512  288.950501
+    18  10240.0  446.836366  286.433562  290.153487
+    19  10752.0  428.651173  246.464170  289.941565
+    20  11264.0  429.104745  245.091565  285.767446
+    21  11776.0  421.826879  249.447482  288.686414
+    22  12288.0  420.102570  254.453844  294.911986
+    23  12800.0  415.135142  253.256381  289.811310
+    24  13312.0  412.242569  252.559690  290.179836
+    25  13824.0  404.604870  257.390218  292.571423
+    26  14336.0  397.761846  254.862216  286.242939
+    27  14848.0  383.999990  257.108233  289.012175
+    28  15360.0  374.253788  257.610071  287.326580
+    29  15872.0  366.982663  262.708969  291.006885
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  13.206 seconds)
+   **Total running time of the script:** ( 2 minutes  11.692 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 a9b4edfeb..d2651caed 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
 =================
-**12:12.858** total execution time for **getting-started_tutorials** files:
+**12:25.887** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:11.940 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:26.690 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:16.603 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:19.106 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:13.206 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.692 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:31.098 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:28.027 | 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``)       | 00:00.372 | 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 4383d868b..f7ca792d7 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -322,24 +322,24 @@ for different problem sizes.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
            size      Triton       Torch
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 11    8388608.0  812.429770  812.429770
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-13   33554432.0  842.004273  842.004273
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diff --git a/v1.1.2/getting-started/tutorials/02-fused-softmax.html b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
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--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
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 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
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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 1d03cdd9d..a206aa0ed 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
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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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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..c3729d861 100644
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@@ -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>
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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
index e8766dd6a..7f70fc3f0 100644
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-13   7680.0  482.513091  261.446804  278.850215
-14   8192.0  461.521112  267.858310  287.018988
-15   8704.0  417.791980  267.130429  284.987724
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