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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 ed48b84a9..59ab70872 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 e932a4d49..d717a71d5 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  45.985 seconds)
+   **Total running time of the script:** ( 1 minutes  35.982 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 9d0ae0c96..3884d0ee7 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   184.089886
+    0     256.0  512.000001      512.000001   188.321838
     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
+    3     640.0  706.206879      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.834951
-    94  12288.0  812.429770      415.661740   199.096718
-    95  12416.0  812.498981      412.149375   198.755369
-    96  12544.0  812.566838      412.546756   199.012395
-    97  12672.0  811.007961      412.097543   199.167004
+    93  12160.0  812.359066      406.179533   198.631953
+    94  12288.0  812.429770      415.661740   198.995960
+    95  12416.0  812.498981      411.722274   198.556711
+    96  12544.0  812.566838      412.971190   198.815254
+    97  12672.0  811.007961      412.097543   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  22.172 seconds)
+   **Total running time of the script:** ( 3 minutes  22.112 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 674003f5a..5a2cb7b76 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -463,33 +463,33 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     1    384.0   7.372800  ...   7.899428              7.899428
     2    512.0  14.563555  ...  15.420235             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  32.768000  ...  35.389441             34.028308
-    5    896.0  39.025776  ...  41.321411             39.025776
+    4    768.0  32.768000  ...  34.028308             34.028308
+    5    896.0  39.025776  ...  40.140799             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  ...  69.009825             67.305878
-    10  1536.0  79.526831  ...  80.430545             78.643199
-    11  1664.0  63.372618  ...  63.372618             62.492442
-    12  1792.0  72.983276  ...  63.142831             63.142831
-    13  1920.0  69.120002  ...  71.626943             70.892307
-    14  2048.0  73.262953  ...  78.033565             77.314362
-    15  2176.0  83.155572  ...  87.494120             85.632545
-    16  2304.0  68.251065  ...  78.320893             77.057651
-    17  2432.0  71.305746  ...  75.522751             75.118889
-    18  2560.0  77.833728  ...  82.125311             80.908642
-    19  2688.0  83.922689  ...  89.676257             89.254248
-    20  2816.0  81.674548  ...  84.523664             82.602666
-    21  2944.0  82.373605  ...  83.337844             82.921853
-    22  3072.0  82.301023  ...  89.170242             88.612060
-    23  3200.0  84.768213  ...  96.530922             94.955488
-    24  3328.0  83.808259  ...  85.602017             85.602017
-    25  3456.0  81.026701  ...  87.536988             86.783176
-    26  3584.0  87.381330  ...  98.375705             96.996106
-    27  3712.0  82.355598  ...  89.674457             87.475786
-    28  3840.0  84.100380  ...  93.090912             86.943395
-    29  3968.0  92.652949  ...  85.932350             91.266964
-    30  4096.0  86.396989  ...  89.181212             82.342167
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+    10  1536.0  79.526831  ...  80.430545             79.526831
+    11  1664.0  62.929456  ...  63.372618             62.492442
+    12  1792.0  72.983276  ...  73.460287             59.467852
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+    14  2048.0  73.262953  ...  78.033565             76.959706
+    15  2176.0  83.155572  ...  87.494120             85.998493
+    16  2304.0  68.446623  ...  78.064941             77.057651
+    17  2432.0  71.125224  ...  86.711310             75.118889
+    18  2560.0  77.833728  ...  82.956960             81.715711
+    19  2688.0  83.737433  ...  90.748936             89.254248
+    20  2816.0  80.916902  ...  85.017948             83.074685
+    21  2944.0  80.510553  ...  83.060049             82.509987
+    22  3072.0  80.316458  ...  89.735509             89.310890
+    23  3200.0  83.769634  ...  95.952022             95.522391
+    24  3328.0  83.226931  ...  85.398926             84.795401
+    25  3456.0  82.519518  ...  92.455926             87.632137
+    26  3584.0  87.381330  ...  98.483450             97.840469
+    27  3712.0  84.159518  ...  88.797643             87.437503
+    28  3840.0  80.901241  ...  92.006659             89.187096
+    29  3968.0  88.040360  ...  86.144680             89.921841
+    30  4096.0  91.025923  ...  93.760204             87.438257
 
     [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  3.569 seconds)
+   **Total running time of the script:** ( 6 minutes  4.630 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 b9f95070e..0559a9836 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  0.490 seconds)
+   **Total running time of the script:** ( 0 minutes  0.500 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 8635be268..a4911c973 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -42,32 +42,32 @@ Layer Normalization
     1    1536.0  630.153868  323.368435  511.999982
     2    2048.0  682.666643  334.367358  520.126988
     3    2560.0  694.237267  362.477870  512.000013
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     5    3584.0  725.873439  384.859062  455.111115
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-    8    5120.0  688.403381  397.669909  422.268057
-    9    5632.0  704.000002  395.228063  415.262685
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+    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  400.360920  400.360920
+    11   6656.0  700.631610  398.861429  400.360920
     12   7168.0  690.891575  396.844306  387.459443
     13   7680.0  682.666656  392.587863  387.634072
-    14   8192.0  636.271854  393.609605  371.308771
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     16   9216.0  606.814809  407.337026  383.002605
-    17   9728.0  589.575753  409.599987  383.369452
-    18  10240.0  566.920437  408.578556  382.803739
+    17   9728.0  589.575753  409.599987  382.427505
+    18  10240.0  566.920437  408.578556  381.911416
     19  10752.0  549.623009  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  518.754611  413.911572  383.251457
+    22  12288.0  516.031509  413.911572  383.251457
     23  12800.0  505.679014  410.420828  376.470582
-    24  13312.0  494.180982  405.699062  376.310952
+    24  13312.0  494.180982  404.927765  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  375.304904
+    26  14336.0  470.997935  406.695045  374.185964
+    27  14848.0  461.297068  408.192434  374.712936
     28  15360.0  454.269882  406.214870  378.092307
-    29  15872.0  447.887117  406.974373  376.225175
+    29  15872.0  447.098578  406.974373  376.225175
 
 
 
@@ -389,7 +389,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  24.288 seconds)
+   **Total running time of the script:** ( 5 minutes  19.895 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 77bca2d04..c8ee04e67 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
 =================
-**16:36.505** total execution time for **getting-started_tutorials** files:
+**16:23.119** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:03.569 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.630 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:24.288 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:19.895 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.172 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.112 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.985 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:35.982 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.490 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.500 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index b29c4983b..f0a44ba94 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  45.985 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  35.982 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 feb6eecc8..7e8b5596a 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   184.089886
+0     256.0  512.000001      512.000001   188.321838
 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
+3     640.0  706.206879      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
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+96  12544.0  812.566838      412.971190   198.815254
+97  12672.0  811.007961      412.097543   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  22.172 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.112 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 c6288f6a2..87d818587 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
@@ -569,38 +569,38 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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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 925583173..fe32307fb 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 79fa6e622..fe36d720f 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 c7de1063c..21f6b7d4a 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
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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 5046f2116..89092f7c3 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 ec04ae8d6..d33eae628 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 18b2bf6c7..542944e54 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
@@ -233,14 +233,14 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   38.400001
-    3       32768.0   76.800002   63.999998
+    2       16384.0   31.999999   38.400001
+    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
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
-    9     2097152.0  722.823517  702.171410
+    9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
@@ -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  45.739 seconds)
+   **Total running time of the script:** ( 1 minutes  45.289 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 7f814c916..c30768c37 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
-    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
+    0     256.0  512.000001      512.000001   188.321838
+    1     384.0  614.400016      585.142862   153.600004
+    2     512.0  655.360017      606.814814   154.566038
+    3     640.0  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.530610
-    94  12288.0  814.111783      415.661740   198.794749
-    95  12416.0  812.498981      412.149375   198.457532
-    96  12544.0  812.566838      412.971190   198.716830
-    97  12672.0  812.633240      412.097543   198.776477
+    93  12160.0  814.058574      406.179533   198.733401
+    94  12288.0  814.111783      415.222812   198.995960
+    95  12416.0  812.498981      411.722274   198.655991
+    96  12544.0  812.566838      412.971190   198.913776
+    97  12672.0  812.633240      412.097543   198.873965
 
     [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  22.292 seconds)
+   **Total running time of the script:** ( 3 minutes  23.318 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 4ce9ecb85..fb27063a2 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              7.899428
+    0    256.0   2.978909  ...   2.978909              2.978909
+    1    384.0   7.372800  ...   7.899428              7.899428
     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  39.025776  ...  39.025776             39.025776
-    6   1024.0  49.932191  ...  53.773130             52.428801
+    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             66.485074
-    10  1536.0  80.430545  ...  79.526831             78.643199
+    9   1408.0  64.138541  ...  67.305878             65.684049
+    10  1536.0  79.526831  ...  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
+    13  1920.0  69.467336  ...  70.172588             70.172588
+    14  2048.0  73.908442  ...  76.959706             76.608294
     15  2176.0  83.155572  ...  85.998493             85.269692
     16  2304.0  68.056616  ...  76.809875             76.563695
-    17  2432.0  71.125224  ...  85.134737             84.877538
-    18  2560.0  77.833728  ...  80.908642             80.511054
-    19  2688.0  83.369354  ...  89.888756             89.464755
-    20  2816.0  83.074685  ...  82.916747             82.759409
-    21  2944.0  82.784108  ...  81.832567             82.237674
-    22  3072.0  80.430545  ...  89.030036             89.310890
-    23  3200.0  84.656085  ...  95.380032             95.096582
-    24  3328.0  83.130825  ...  84.101981             83.808259
-    25  3456.0  81.849303  ...  91.304157             91.928814
-    26  3584.0  86.457107  ...  87.548840             94.548254
-    27  3712.0  85.675250  ...  86.192706             88.679403
-    28  3840.0  81.019778  ...  90.798032             90.574940
-    29  3968.0  89.988156  ...  84.096442             89.723483
-    30  4096.0  91.180520  ...  92.372834             89.240508
+    17  2432.0  71.305746  ...  85.653855             84.367759
+    18  2560.0  77.833728  ...  81.310171             80.511054
+    19  2688.0  83.737433  ...  90.102270             89.044730
+    20  2816.0  83.074685  ...  83.873477             82.759409
+    21  2944.0  82.237674  ...  83.337844             83.060049
+    22  3072.0  81.121923  ...  88.750943             87.787755
+    23  3200.0  84.321474  ...  96.096095             95.952022
+    24  3328.0  83.516586  ...  84.052885             84.795401
+    25  3456.0  82.604067  ...  91.407671             91.097818
+    26  3584.0  85.633710  ...  92.600816             95.350361
+    27  3712.0  84.159518  ...  86.867254             88.640059
+    28  3840.0  81.138664  ...  90.723546             91.930177
+    29  3968.0  91.885495  ...  80.120775             82.700061
+    30  4096.0  91.741443  ...  85.434583             87.211002
 
     [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  24.229 seconds)
+   **Total running time of the script:** ( 5 minutes  53.278 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..c24a29c63 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  0.109 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 3cdeaf7e9..f61ac7594 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   99.096776  307.200008
-    1    1536.0  351.085717  133.083026  338.201833
-    2    2048.0  420.102553  162.217818  325.509933
-    3    2560.0  461.954908  182.857144  325.079368
-    4    3072.0  511.999982  191.501303  317.793096
-    5    3584.0  551.384634  208.271186  309.410081
-    6    4096.0  564.965515  220.412561  298.796351
-    7    4608.0  495.928261  231.849059  286.507772
+    0    1024.0  311.088617   99.497980  311.088617
+    1    1536.0  351.085717  133.083026  341.333333
+    2    2048.0  423.724127  162.217818  336.657521
+    3    2560.0  461.954908  182.857144  330.322572
+    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  297.890900
+    7    4608.0  498.162157  231.849059  287.251954
     8    5120.0  525.128191  242.845844  283.787523
     9    5632.0  536.380957  243.107920  290.683877
-    10   6144.0  544.118087  248.242431  285.767458
-    11   6656.0  525.473708  256.000009  286.793541
-    12   7168.0  505.976473  261.844750  288.160801
+    10   6144.0  544.118087  248.661056  285.767458
+    11   6656.0  527.207907  256.410903  286.279570
+    12   7168.0  505.976473  261.844750  288.644296
     13   7680.0  482.513091  260.707203  277.590365
-    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
+    14   8192.0  460.440290  269.326017  286.600589
+    15   8704.0  416.958106  267.815384  285.377055
+    16   9216.0  428.651187  273.066667  289.507855
     17   9728.0  438.857162  280.278512  288.950501
-    18  10240.0  447.650282  286.767793  290.496460
-    19  10752.0  429.364408  246.699797  290.267711
-    20  11264.0  429.104745  245.091565  285.767446
-    21  11776.0  421.198220  249.447482  288.686414
-    22  12288.0  420.102570  254.453844  294.617366
-    23  12800.0  415.135142  253.465340  289.811310
-    24  13312.0  412.242569  252.559690  290.179836
-    25  13824.0  405.098897  257.190689  292.571423
-    26  14336.0  397.761846  254.673567  286.481278
-    27  14848.0  383.999990  257.293872  289.012175
-    28  15360.0  374.253788  257.610071  287.326580
-    29  15872.0  366.982663  262.708969  291.229369
+    18  10240.0  446.836366  286.767793  290.840246
+    19  10752.0  429.364408  246.464170  290.267711
+    20  11264.0  429.104745  245.313973  285.767446
+    21  11776.0  421.826879  249.227509  288.686414
+    22  12288.0  420.102570  254.453844  294.911986
+    23  12800.0  415.135142  253.465340  288.721817
+    24  13312.0  412.242569  252.559690  289.916513
+    25  13824.0  405.098897  257.390218  292.571423
+    26  14336.0  397.761846  254.673567  286.242939
+    27  14848.0  383.999990  257.108233  289.246765
+    28  15360.0  374.634130  257.610071  287.550706
+    29  15872.0  366.982663  262.890274  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.288 seconds)
+   **Total running time of the script:** ( 2 minutes  13.046 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 f2ccafe01..e1f83c4af 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
 =================
-**12:44.559** total execution time for **getting-started_tutorials** files:
+**13:15.039** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.229 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:53.278 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.292 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.318 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.288 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:13.046 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.739 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.289 | 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``)       | 00:00.109 | 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 feb648b48..59202f23f 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,14 +323,14 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   38.400001   38.400001
-3       32768.0   76.800002   63.999998
+2       16384.0   31.999999   38.400001
+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
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
-9     2097152.0  722.823517  702.171410
+9     2097152.0  722.823517  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
@@ -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  45.739 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.289 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 3515e217d..2853916a3 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
-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
+0     256.0  512.000001      512.000001   188.321838
+1     384.0  614.400016      585.142862   153.600004
+2     512.0  655.360017      606.814814   154.566038
+3     640.0  682.666684      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.530610
-94  12288.0  814.111783      415.661740   198.794749
-95  12416.0  812.498981      412.149375   198.457532
-96  12544.0  812.566838      412.971190   198.716830
-97  12672.0  812.633240      412.097543   198.776477
+93  12160.0  814.058574      406.179533   198.733401
+94  12288.0  814.111783      415.222812   198.995960
+95  12416.0  812.498981      411.722274   198.655991
+96  12544.0  812.566838      412.971190   198.913776
+97  12672.0  812.633240      412.097543   198.873965
 
 [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>
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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">
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 <p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
index a06a89966..f5661c669 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,42 +568,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.730667  ...   2.978909              2.978909
-1    384.0   7.372800  ...   8.507077              7.899428
+0    256.0   2.978909  ...   2.978909              2.978909
+1    384.0   7.372800  ...   7.899428              7.899428
 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  39.025776  ...  39.025776             39.025776
-6   1024.0  49.932191  ...  53.773130             52.428801
+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             66.485074
-10  1536.0  80.430545  ...  79.526831             78.643199
+9   1408.0  64.138541  ...  67.305878             65.684049
+10  1536.0  79.526831  ...  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
+13  1920.0  69.467336  ...  70.172588             70.172588
+14  2048.0  73.908442  ...  76.959706             76.608294
 15  2176.0  83.155572  ...  85.998493             85.269692
 16  2304.0  68.056616  ...  76.809875             76.563695
-17  2432.0  71.125224  ...  85.134737             84.877538
-18  2560.0  77.833728  ...  80.908642             80.511054
-19  2688.0  83.369354  ...  89.888756             89.464755
-20  2816.0  83.074685  ...  82.916747             82.759409
-21  2944.0  82.784108  ...  81.832567             82.237674
-22  3072.0  80.430545  ...  89.030036             89.310890
-23  3200.0  84.656085  ...  95.380032             95.096582
-24  3328.0  83.130825  ...  84.101981             83.808259
-25  3456.0  81.849303  ...  91.304157             91.928814
-26  3584.0  86.457107  ...  87.548840             94.548254
-27  3712.0  85.675250  ...  86.192706             88.679403
-28  3840.0  81.019778  ...  90.798032             90.574940
-29  3968.0  89.988156  ...  84.096442             89.723483
-30  4096.0  91.180520  ...  92.372834             89.240508
+17  2432.0  71.305746  ...  85.653855             84.367759
+18  2560.0  77.833728  ...  81.310171             80.511054
+19  2688.0  83.737433  ...  90.102270             89.044730
+20  2816.0  83.074685  ...  83.873477             82.759409
+21  2944.0  82.237674  ...  83.337844             83.060049
+22  3072.0  81.121923  ...  88.750943             87.787755
+23  3200.0  84.321474  ...  96.096095             95.952022
+24  3328.0  83.516586  ...  84.052885             84.795401
+25  3456.0  82.604067  ...  91.407671             91.097818
+26  3584.0  85.633710  ...  92.600816             95.350361
+27  3712.0  84.159518  ...  86.867254             88.640059
+28  3840.0  81.138664  ...  90.723546             91.930177
+29  3968.0  91.885495  ...  80.120775             82.700061
+30  4096.0  91.741443  ...  85.434583             87.211002
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  24.229 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-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
index 80bb98b3a..bb50ce127 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>
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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 3a283fe40..ac34d2a06 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   99.096776  307.200008
-1    1536.0  351.085717  133.083026  338.201833
-2    2048.0  420.102553  162.217818  325.509933
-3    2560.0  461.954908  182.857144  325.079368
-4    3072.0  511.999982  191.501303  317.793096
-5    3584.0  551.384634  208.271186  309.410081
-6    4096.0  564.965515  220.412561  298.796351
-7    4608.0  495.928261  231.849059  286.507772
+0    1024.0  311.088617   99.497980  311.088617
+1    1536.0  351.085717  133.083026  341.333333
+2    2048.0  423.724127  162.217818  336.657521
+3    2560.0  461.954908  182.857144  330.322572
+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  297.890900
+7    4608.0  498.162157  231.849059  287.251954
 8    5120.0  525.128191  242.845844  283.787523
 9    5632.0  536.380957  243.107920  290.683877
-10   6144.0  544.118087  248.242431  285.767458
-11   6656.0  525.473708  256.000009  286.793541
-12   7168.0  505.976473  261.844750  288.160801
+10   6144.0  544.118087  248.661056  285.767458
+11   6656.0  527.207907  256.410903  286.279570
+12   7168.0  505.976473  261.844750  288.644296
 13   7680.0  482.513091  260.707203  277.590365
-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
+14   8192.0  460.440290  269.326017  286.600589
+15   8704.0  416.958106  267.815384  285.377055
+16   9216.0  428.651187  273.066667  289.507855
 17   9728.0  438.857162  280.278512  288.950501
-18  10240.0  447.650282  286.767793  290.496460
-19  10752.0  429.364408  246.699797  290.267711
-20  11264.0  429.104745  245.091565  285.767446
-21  11776.0  421.198220  249.447482  288.686414
-22  12288.0  420.102570  254.453844  294.617366
-23  12800.0  415.135142  253.465340  289.811310
-24  13312.0  412.242569  252.559690  290.179836
-25  13824.0  405.098897  257.190689  292.571423
-26  14336.0  397.761846  254.673567  286.481278
-27  14848.0  383.999990  257.293872  289.012175
-28  15360.0  374.253788  257.610071  287.326580
-29  15872.0  366.982663  262.708969  291.229369
+18  10240.0  446.836366  286.767793  290.840246
+19  10752.0  429.364408  246.464170  290.267711
+20  11264.0  429.104745  245.313973  285.767446
+21  11776.0  421.826879  249.227509  288.686414
+22  12288.0  420.102570  254.453844  294.911986
+23  12800.0  415.135142  253.465340  288.721817
+24  13312.0  412.242569  252.559690  289.916513
+25  13824.0  405.098897  257.390218  292.571423
+26  14336.0  397.761846  254.673567  286.242939
+27  14848.0  383.999990  257.108233  289.246765
+28  15360.0  374.634130  257.610071  287.550706
+29  15872.0  366.982663  262.890274  291.229369
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 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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diff --git a/v1.1.2/getting-started/tutorials/sg_execution_times.html b/v1.1.2/getting-started/tutorials/sg_execution_times.html
index fb758cc53..f0af1ddd3 100644
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+++ b/v1.1.2/getting-started/tutorials/sg_execution_times.html
@@ -174,7 +174,7 @@
             
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-<td><p>02:12.288</p></td>
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-<td><p>01:45.739</p></td>
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