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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 cd3d4aff7..7f2e335ee 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 8499049c9..add5135d0 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -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  44.163 seconds)
+   **Total running time of the script:** ( 1 minutes  43.406 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 cb84ae614..a2e5507b7 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      512.000001   182.044442
-    1     384.0  614.400016      585.142862   153.600004
-    2     512.0  655.360017      585.142849   154.566038
-    3     640.0  682.666684      640.000002   158.759699
-    4     768.0  722.823517      664.216187   162.754967
+    0     256.0  546.133347      546.133347   186.181817
+    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   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.530610
-    94  12288.0  812.429770      415.661740   198.794749
-    95  12416.0  812.498981      412.149375   198.457532
-    96  12544.0  812.566838      412.546756   198.716830
-    97  12672.0  812.633240      412.097543   198.776477
+    93  12160.0  812.359066      405.333344   199.038365
+    94  12288.0  812.429770      415.222812   199.197579
+    95  12416.0  812.498981      411.296057   198.954424
+    96  12544.0  810.925276      412.546756   199.111113
+    97  12672.0  811.007961      412.097543   199.264875
 
     [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  24.461 seconds)
+   **Total running time of the script:** ( 3 minutes  22.745 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 aaa679afa..8c8d6b754 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   7.899428              7.899428
+    0    256.0   2.730667  ...   2.978909              3.276800
+    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  32.768000  ...  34.028308             34.028308
+    4    768.0  32.768000  ...  35.389441             34.028308
     5    896.0  37.971025  ...  41.321411             39.025776
     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  ...  80.430545             78.643199
-    11  1664.0  63.372618  ...  63.372618             62.061463
-    12  1792.0  72.983276  ...  63.499573             62.790080
-    13  1920.0  68.776119  ...  71.257735             70.892307
+    10  1536.0  80.430545  ...  80.430545             78.643199
+    11  1664.0  62.929456  ...  63.372618             62.492442
+    12  1792.0  72.983276  ...  63.499573             63.142831
+    13  1920.0  69.120002  ...  71.257735             70.892307
     14  2048.0  73.262953  ...  78.033565             76.959706
     15  2176.0  83.155572  ...  87.115360             85.632545
-    16  2304.0  68.643310  ...  78.064941             76.809875
-    17  2432.0  71.125224  ...  75.522751             74.521127
-    18  2560.0  77.833728  ...  82.331658             81.310171
-    19  2688.0  83.737433  ...  90.966561             89.464755
-    20  2816.0  83.712490  ...  84.523664             83.392363
-    21  2944.0  82.373605  ...  84.324925             83.899046
-    22  3072.0  80.890151  ...  88.335577             79.526831
-    23  3200.0  83.989503  ...  96.530922             93.979441
-    24  3328.0  83.808259  ...  86.736504             86.113988
-    25  3456.0  80.380430  ...  92.138932             89.679166
-    26  3584.0  88.152348  ...  92.505546             95.451583
-    27  3712.0  82.423549  ...  87.706180             87.170458
-    28  3840.0  84.292684  ...  92.275341             86.943395
-    29  3968.0  91.816356  ...  87.035620             90.054568
-    30  4096.0  91.867031  ...  93.924229             87.896352
+    16  2304.0  68.251065  ...  78.064941             76.809875
+    17  2432.0  71.305746  ...  75.522751             74.521127
+    18  2560.0  77.833728  ...  82.125311             81.512437
+    19  2688.0  84.108772  ...  90.316801             90.102270
+    20  2816.0  79.154642  ...  84.197315             82.602666
+    21  2944.0  82.237674  ...  83.477440             83.060049
+    22  3072.0  82.301023  ...  90.020831             88.060814
+    23  3200.0  83.934428  ...  96.385543             94.534716
+    24  3328.0  83.226931  ...  86.424125             85.398926
+    25  3456.0  81.026701  ...  87.632137             90.687926
+    26  3584.0  87.296493  ...  99.905993             98.160909
+    27  3712.0  83.178475  ...  89.194055             85.675250
+    28  3840.0  83.781816  ...  92.236860             85.103501
+    29  3968.0  91.850912  ...  87.945181             90.321193
+    30  4096.0  87.495257  ...  90.412750             92.755862
 
     [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  11.431 seconds)
+   **Total running time of the script:** ( 6 minutes  7.264 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 76206e73d..12f231d70 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  0.486 seconds)
+   **Total running time of the script:** ( 0 minutes  0.499 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 d17738bba..e12f5d012 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  585.142849  277.694907  468.114273
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  682.666643  334.367358  520.126988
+    2    2048.0  668.734716  337.814445  528.516136
     3    2560.0  694.237267  362.477870  512.000013
-    4    3072.0  712.347810  375.206126  501.551037
-    5    3584.0  725.873439  384.859062  458.751978
+    4    3072.0  712.347810  378.092307  501.551037
+    5    3584.0  725.873439  384.859062  462.451619
     6    4096.0  728.177767  381.023256  458.293714
-    7    4608.0  670.254540  394.267384  426.173427
-    8    5120.0  688.403381  397.669909  426.666652
-    9    5632.0  704.000002  395.228063  413.357796
-    10   6144.0  702.171410  402.885254  411.313806
-    11   6656.0  705.271522  398.861429  398.861429
-    12   7168.0  695.078767  396.844306  387.459443
-    13   7680.0  682.666656  392.587863  386.415087
-    14   8192.0  642.509816  392.431125  372.363633
-    15   8704.0  630.153861  389.005597  380.502740
-    16   9216.0  609.322328  407.337026  383.999986
-    17   9728.0  589.575753  409.599987  382.427505
-    18  10240.0  568.888869  408.578556  382.803739
-    19  10752.0  551.384634  411.559798  381.445676
-    20  11264.0  536.380957  406.826188  373.134567
-    21  11776.0  523.377770  409.599991  377.587162
-    22  12288.0  517.389457  413.911572  382.505826
-    23  12800.0  505.679014  410.420828  376.470582
-    24  13312.0  494.180982  405.699062  376.310952
-    25  13824.0  482.934503  411.888257  379.389355
-    26  14336.0  471.967074  406.695045  374.185964
-    27  14848.0  461.297068  408.192434  374.712936
-    28  15360.0  454.269882  406.214870  377.801688
-    29  15872.0  447.098578  406.974373  376.225175
+    7    4608.0  670.254540  396.387087  423.724136
+    8    5120.0  688.403381  397.669909  422.268057
+    9    5632.0  704.000002  396.969169  411.470331
+    10   6144.0  707.223041  402.885254  409.600010
+    11   6656.0  700.631610  400.360920  398.861429
+    12   7168.0  695.078767  388.772874  386.154893
+    13   7680.0  682.666656  392.587863  385.203746
+    14   8192.0  639.375598  392.431125  377.729113
+    15   8704.0  630.153861  394.515569  380.502740
+    16   9216.0  609.322328  403.989025  383.002605
+    17   9728.0  591.817503  408.524944  382.427505
+    18  10240.0  570.871075  408.578556  381.911416
+    19  10752.0  551.384634  411.559798  380.601764
+    20  11264.0  537.982106  404.089694  374.686074
+    21  11776.0  524.835658  409.599991  378.345375
+    22  12288.0  518.754611  413.911572  383.251457
+    23  12800.0  505.679014  410.420828  377.163903
+    24  13312.0  495.330249  404.927765  376.976995
+    25  13824.0  482.934503  410.359948  378.739711
+    26  14336.0  471.967074  397.532043  372.969090
+    27  14848.0  461.297068  403.341254  375.304904
+    28  15360.0  454.269882  406.887417  378.092307
+    29  15872.0  447.098578  409.599996  377.343238
 
 
 
@@ -389,7 +389,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  21.651 seconds)
+   **Total running time of the script:** ( 5 minutes  23.495 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 540867775..cb643ad0c 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
 =================
-**16:42.191** total execution time for **getting-started_tutorials** files:
+**16:37.409** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:11.431 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:07.264 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:21.651 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:23.495 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:24.461 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.745 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.163 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.406 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.486 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.499 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index afcbdfd8c..ac40cf7e3 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -340,7 +340,7 @@ 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  44.163 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.406 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 fdc87dd20..a547fc86e 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      512.000001   182.044442
-1     384.0  614.400016      585.142862   153.600004
-2     512.0  655.360017      585.142849   154.566038
-3     640.0  682.666684      640.000002   158.759699
-4     768.0  722.823517      664.216187   162.754967
+0     256.0  546.133347      546.133347   186.181817
+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   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.530610
-94  12288.0  812.429770      415.661740   198.794749
-95  12416.0  812.498981      412.149375   198.457532
-96  12544.0  812.566838      412.546756   198.716830
-97  12672.0  812.633240      412.097543   198.776477
+93  12160.0  812.359066      405.333344   199.038365
+94  12288.0  812.429770      415.222812   199.197579
+95  12416.0  812.498981      411.296057   198.954424
+96  12544.0  810.925276      412.546756   199.111113
+97  12672.0  811.007961      412.097543   199.264875
 
 [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  24.461 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.745 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index 7f623f0b3..04d3880a7 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
@@ -565,42 +565,42 @@ 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
-1    384.0   7.372800  ...   7.899428              7.899428
+0    256.0   2.730667  ...   2.978909              3.276800
+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  32.768000  ...  34.028308             34.028308
+4    768.0  32.768000  ...  35.389441             34.028308
 5    896.0  37.971025  ...  41.321411             39.025776
 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  ...  80.430545             78.643199
-11  1664.0  63.372618  ...  63.372618             62.061463
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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 f3652cd7c..836fe5c25 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 b7c1c2420..b2873df04 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 0d5759037..1028633e8 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 28757cd6a..26713d081 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 5dc73bfcc..763e64b33 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 aad32b059..ecce0bfd8 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 ee10a0c81..a5e73a51a 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
@@ -234,13 +234,13 @@ 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   76.800002   76.800002
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  384.000001
+    6      262144.0  341.333321  341.333321
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
-    9     2097152.0  702.171410  702.171410
+    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
@@ -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  43.042 seconds)
+   **Total running time of the script:** ( 1 minutes  42.831 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 9e9e8854d..81005599a 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
+    0     256.0  512.000001      512.000001   184.089886
     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   158.759699
-    4     768.0  722.823517      664.216187   163.839992
+    4     768.0  702.171410      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.333344   198.936606
-    94  12288.0  814.111783      415.661740   199.197579
-    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
+    93  12160.0  814.058574      406.179533   198.936606
+    94  12288.0  814.111783      416.101597   199.298541
+    95  12416.0  812.498981      412.149375   198.854847
+    96  12544.0  812.566838      412.546756   199.111113
+    97  12672.0  812.633240      412.097543   199.264875
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  22.391 seconds)
+   **Total running time of the script:** ( 3 minutes  23.861 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 114ec9098..53e6ac977 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  ...   8.507077              7.899428
-    2    512.0  14.563555  ...  16.384000             15.420235
+    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  32.768000  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  40.140799             39.025776
-    6   1024.0  49.932191  ...  52.428801             52.428801
+    5    896.0  39.025776  ...  39.025776             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             65.684049
-    10  1536.0  79.526831  ...  79.526831             78.643199
-    11  1664.0  62.929456  ...  62.492442             62.061463
+    9   1408.0  64.138541  ...  66.485074             66.485074
+    10  1536.0  80.430545  ...  79.526831             78.643199
+    11  1664.0  63.372618  ...  62.492442             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  ...  86.367588             85.269692
+    15  2176.0  83.155572  ...  85.998493             85.269692
     16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.125224  ...  83.366361             84.877538
-    18  2560.0  77.833728  ...  81.108913             80.908642
-    19  2688.0  83.552988  ...  89.464755             89.676257
-    20  2816.0  84.197315  ...  83.392363             82.602666
-    21  2944.0  82.102191  ...  82.784108             82.921853
-    22  3072.0  81.766218  ...  89.310890             87.516392
-    23  3200.0  84.880639  ...  89.761569             89.260810
-    24  3328.0  81.901361  ...  84.895397             84.596116
-    25  3456.0  81.600781  ...  91.097818             88.400840
-    26  3584.0  86.540320  ...  98.699661             98.916823
-    27  3712.0  83.317214  ...  88.640059             83.040189
-    28  3840.0  85.136259  ...  87.771425             90.649182
-    29  3968.0  93.612530  ...  87.159957             88.615785
-    30  4096.0  89.627865  ...  87.324485             91.180520
+    17  2432.0  71.125224  ...  85.653855             84.367759
+    18  2560.0  77.833728  ...  81.310171             80.908642
+    19  2688.0  83.552988  ...  89.676257             89.254248
+    20  2816.0  81.674548  ...  82.916747             83.392363
+    21  2944.0  82.784108  ...  83.060049             82.921853
+    22  3072.0  81.707223  ...  88.612060             88.335577
+    23  3200.0  84.656085  ...  95.522391             94.955488
+    24  3328.0  83.178850  ...  85.146420             83.613586
+    25  3456.0  81.849303  ...  89.779026             90.281712
+    26  3584.0  87.254137  ...  93.661869             97.522120
+    27  3712.0  85.748791  ...  90.160053             90.241499
+    28  3840.0  82.654712  ...  88.971840             91.322872
+    29  3968.0  86.051653  ...  91.678389             88.744681
+    30  4096.0  94.386588  ...  92.884244             90.200084
 
     [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  51.754 seconds)
+   **Total running time of the script:** ( 5 minutes  26.607 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 a488d82b6..3a385a5bb 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  0.118 seconds)
+   **Total running time of the script:** ( 0 minutes  0.011 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 b640b6543..fcebcbf10 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   94.160917  289.129413
-    1    1536.0  347.773587  135.032961  338.201833
-    2    2048.0  423.724127  161.684218  323.368435
-    3    2560.0  461.954908  183.402991  326.808501
-    4    3072.0  515.580429  191.999993  317.793096
-    5    3584.0  554.941930  207.768111  311.652167
-    6    4096.0  564.965515  220.907859  300.623865
-    7    4608.0  498.162157  232.825259  287.251954
-    8    5120.0  529.655159  242.366855  285.767451
-    9    5632.0  540.671974  240.512468  286.980888
-    10   6144.0  540.131844  250.775512  286.879370
-    11   6656.0  528.953642  256.410903  286.793541
-    12   7168.0  513.528374  257.532925  280.639473
-    13   7680.0  482.513091  262.938666  280.975614
-    14   8192.0  462.607053  261.794935  275.361335
-    15   8704.0  415.300208  265.433292  283.826081
-    16   9216.0  429.483477  269.736580  286.507772
-    17   9728.0  438.033784  282.311967  290.388056
-    18  10240.0  445.217381  285.104413  288.450695
-    19  10752.0  429.364408  245.526173  288.644296
-    20  11264.0  430.471331  242.671458  282.778242
-    21  11776.0  421.826879  249.447482  289.573776
-    22  12288.0  421.905564  253.578674  294.029924
-    23  12800.0  415.696898  252.839495  287.371378
-    24  13312.0  411.711355  252.161013  289.391298
-    25  13824.0  403.620451  256.991469  291.031592
-    26  14336.0  398.683664  253.734520  286.481278
-    27  14848.0  383.586664  257.479779  290.425421
-    28  15360.0  376.932517  260.155264  289.356349
-    29  15872.0  368.046389  263.071829  291.452168
+    0    1024.0  307.200008   99.096776  307.200008
+    1    1536.0  347.773587  133.083026  338.201833
+    2    2048.0  423.724127  161.684218  336.657521
+    3    2560.0  461.954908  182.857144  328.556154
+    4    3072.0  511.999982  191.501303  319.168834
+    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  287.251954
+    8    5120.0  522.893618  242.845844  283.787523
+    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  261.844750  288.644296
+    13   7680.0  481.253256  260.338991  276.756754
+    14   8192.0  460.440290  269.326017  287.018988
+    15   8704.0  416.127506  267.815384  284.599455
+    16   9216.0  427.822068  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  290.267711
+    20  11264.0  429.104745  244.869560  285.767446
+    21  11776.0  421.198220  249.227509  288.686414
+    22  12288.0  419.504980  254.453844  294.911986
+    23  12800.0  415.135142  253.360817  289.811310
+    24  13312.0  412.242569  252.559690  290.179836
+    25  13824.0  404.604870  257.190689  292.571423
+    26  14336.0  397.761846  254.673567  286.481278
+    27  14848.0  383.999990  257.108233  289.246765
+    28  15360.0  374.253788  257.610071  287.326580
+    29  15872.0  366.629453  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.110 seconds)
+   **Total running time of the script:** ( 2 minutes  12.518 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 cf59fc783..6170d6653 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
 =================
-**13:09.415** total execution time for **getting-started_tutorials** files:
+**12:45.829** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:51.754 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:26.607 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.391 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.861 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.110 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.518 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.042 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.831 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.118 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.011 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/v1.1.2/getting-started/tutorials/01-vector-add.html b/v1.1.2/getting-started/tutorials/01-vector-add.html
index d29eb8b3b..767ddcfe2 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,13 +324,13 @@ 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   76.800002   76.800002
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  384.000001
+6      262144.0  341.333321  341.333321
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
-9     2097152.0  702.171410  702.171410
+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
@@ -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  43.042 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  42.831 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 f824aaa78..ee7f61739 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
+0     256.0  512.000001      512.000001   184.089886
 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   158.759699
-4     768.0  722.823517      664.216187   163.839992
+4     768.0  702.171410      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.333344   198.936606
-94  12288.0  814.111783      415.661740   199.197579
-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
+93  12160.0  814.058574      406.179533   198.936606
+94  12288.0  814.111783      416.101597   199.298541
+95  12416.0  812.498981      412.149375   198.854847
+96  12544.0  812.566838      412.546756   199.111113
+97  12672.0  812.633240      412.097543   199.264875
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.391 seconds)</p>
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 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
index 782862a3e..b0d225fc3 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -569,41 +569,41 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <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
-1    384.0   7.372800  ...   8.507077              7.899428
-2    512.0  14.563555  ...  16.384000             15.420235
+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  32.768000  ...  34.028308             34.028308
-5    896.0  37.971025  ...  40.140799             39.025776
-6   1024.0  49.932191  ...  52.428801             52.428801
+5    896.0  39.025776  ...  39.025776             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             65.684049
-10  1536.0  79.526831  ...  79.526831             78.643199
-11  1664.0  62.929456  ...  62.492442             62.061463
+9   1408.0  64.138541  ...  66.485074             66.485074
+10  1536.0  80.430545  ...  79.526831             78.643199
+11  1664.0  63.372618  ...  62.492442             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  ...  86.367588             85.269692
+15  2176.0  83.155572  ...  85.998493             85.269692
 16  2304.0  68.251065  ...  76.809875             76.563695
-17  2432.0  71.125224  ...  83.366361             84.877538
-18  2560.0  77.833728  ...  81.108913             80.908642
-19  2688.0  83.552988  ...  89.464755             89.676257
-20  2816.0  84.197315  ...  83.392363             82.602666
-21  2944.0  82.102191  ...  82.784108             82.921853
-22  3072.0  81.766218  ...  89.310890             87.516392
-23  3200.0  84.880639  ...  89.761569             89.260810
-24  3328.0  81.901361  ...  84.895397             84.596116
-25  3456.0  81.600781  ...  91.097818             88.400840
-26  3584.0  86.540320  ...  98.699661             98.916823
-27  3712.0  83.317214  ...  88.640059             83.040189
-28  3840.0  85.136259  ...  87.771425             90.649182
-29  3968.0  93.612530  ...  87.159957             88.615785
-30  4096.0  89.627865  ...  87.324485             91.180520
+17  2432.0  71.125224  ...  85.653855             84.367759
+18  2560.0  77.833728  ...  81.310171             80.908642
+19  2688.0  83.552988  ...  89.676257             89.254248
+20  2816.0  81.674548  ...  82.916747             83.392363
+21  2944.0  82.784108  ...  83.060049             82.921853
+22  3072.0  81.707223  ...  88.612060             88.335577
+23  3200.0  84.656085  ...  95.522391             94.955488
+24  3328.0  83.178850  ...  85.146420             83.613586
+25  3456.0  81.849303  ...  89.779026             90.281712
+26  3584.0  87.254137  ...  93.661869             97.522120
+27  3712.0  85.748791  ...  90.160053             90.241499
+28  3840.0  82.654712  ...  88.971840             91.322872
+29  3968.0  86.051653  ...  91.678389             88.744681
+30  4096.0  94.386588  ...  92.884244             90.200084
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  51.754 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  26.607 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 5ff9963ff..80bb98b3a 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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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 029acf95d..ce628ef9b 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -194,36 +194,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
           N      Triton       Torch        Apex
-0    1024.0  307.200008   94.160917  289.129413
-1    1536.0  347.773587  135.032961  338.201833
-2    2048.0  423.724127  161.684218  323.368435
-3    2560.0  461.954908  183.402991  326.808501
-4    3072.0  515.580429  191.999993  317.793096
-5    3584.0  554.941930  207.768111  311.652167
-6    4096.0  564.965515  220.907859  300.623865
-7    4608.0  498.162157  232.825259  287.251954
-8    5120.0  529.655159  242.366855  285.767451
-9    5632.0  540.671974  240.512468  286.980888
-10   6144.0  540.131844  250.775512  286.879370
-11   6656.0  528.953642  256.410903  286.793541
-12   7168.0  513.528374  257.532925  280.639473
-13   7680.0  482.513091  262.938666  280.975614
-14   8192.0  462.607053  261.794935  275.361335
-15   8704.0  415.300208  265.433292  283.826081
-16   9216.0  429.483477  269.736580  286.507772
-17   9728.0  438.033784  282.311967  290.388056
-18  10240.0  445.217381  285.104413  288.450695
-19  10752.0  429.364408  245.526173  288.644296
-20  11264.0  430.471331  242.671458  282.778242
-21  11776.0  421.826879  249.447482  289.573776
-22  12288.0  421.905564  253.578674  294.029924
-23  12800.0  415.696898  252.839495  287.371378
-24  13312.0  411.711355  252.161013  289.391298
-25  13824.0  403.620451  256.991469  291.031592
-26  14336.0  398.683664  253.734520  286.481278
-27  14848.0  383.586664  257.479779  290.425421
-28  15360.0  376.932517  260.155264  289.356349
-29  15872.0  368.046389  263.071829  291.452168
+0    1024.0  307.200008   99.096776  307.200008
+1    1536.0  347.773587  133.083026  338.201833
+2    2048.0  423.724127  161.684218  336.657521
+3    2560.0  461.954908  182.857144  328.556154
+4    3072.0  511.999982  191.501303  319.168834
+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  287.251954
+8    5120.0  522.893618  242.845844  283.787523
+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  261.844750  288.644296
+13   7680.0  481.253256  260.338991  276.756754
+14   8192.0  460.440290  269.326017  287.018988
+15   8704.0  416.127506  267.815384  284.599455
+16   9216.0  427.822068  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  290.267711
+20  11264.0  429.104745  244.869560  285.767446
+21  11776.0  421.198220  249.227509  288.686414
+22  12288.0  419.504980  254.453844  294.911986
+23  12800.0  415.135142  253.360817  289.811310
+24  13312.0  412.242569  252.559690  290.179836
+25  13824.0  404.604870  257.190689  292.571423
+26  14336.0  397.761846  254.673567  286.481278
+27  14848.0  383.999990  257.108233  289.246765
+28  15360.0  374.253788  257.610071  287.326580
+29  15872.0  366.629453  262.708969  291.229369
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 <div class="line-block">
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 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  12.518 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-05-layer-norm-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.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">05-layer-norm.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/sg_execution_times.html b/v1.1.2/getting-started/tutorials/sg_execution_times.html
index 594c1d9a8..c3d2b32a3 100644
--- a/v1.1.2/getting-started/tutorials/sg_execution_times.html
+++ b/v1.1.2/getting-started/tutorials/sg_execution_times.html
@@ -174,7 +174,7 @@
             
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-<p><strong>13:09.415</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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-<td><p>05:51.754</p></td>
+<td><p>05:26.607</p></td>
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-<td><p>02:12.110</p></td>
+<td><p>02:12.518</p></td>
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-<td><p>01:43.042</p></td>
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diff --git a/v1.1.2/searchindex.js b/v1.1.2/searchindex.js
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