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diff --git a/master/_images/sphx_glr_02-fused-softmax_001.png b/master/_images/sphx_glr_02-fused-softmax_001.png
index bdc70d334..4395e61a1 100644
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diff --git a/master/_images/sphx_glr_02-fused-softmax_thumb.png b/master/_images/sphx_glr_02-fused-softmax_thumb.png
index 889f2110a..a2c30c4e3 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_001.png b/master/_images/sphx_glr_03-matrix-multiplication_001.png
index 493c06d25..485764291 100644
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diff --git a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png
index 49b88174b..e0fceb6f0 100644
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diff --git a/master/_images/sphx_glr_05-layer-norm_001.png b/master/_images/sphx_glr_05-layer-norm_001.png
index 9a19e91ab..f65a6c202 100644
Binary files a/master/_images/sphx_glr_05-layer-norm_001.png and b/master/_images/sphx_glr_05-layer-norm_001.png differ
diff --git a/master/_images/sphx_glr_05-layer-norm_thumb.png b/master/_images/sphx_glr_05-layer-norm_thumb.png
index 775be3526..2321b8cdc 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 ec26edccf..05fb74c35 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,18 +234,18 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   31.999999   38.400001
+    2       16384.0   38.400001   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  384.000001  341.333321
+    6      262144.0  341.333321  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  842.004273
+    13   33554432.0  842.004273  843.811163
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  41.469 seconds)
+   **Total running time of the script:** ( 1 minutes  43.980 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 7ecac3093..a97307a99 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  546.133347      546.133347   188.321838
+    0     256.0  546.133347      546.133347   190.511628
     1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
     3     640.0  706.206879      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   199.038365
-    94  12288.0  812.429770      415.661740   199.298541
-    95  12416.0  812.498981      412.149375   198.954424
-    96  12544.0  812.566838      412.546756   199.111113
-    97  12672.0  811.007961      412.097543   199.264875
+    93  12160.0  812.359066      406.179533   198.631953
+    94  12288.0  812.429770      415.661740   198.995960
+    95  12416.0  812.498981      412.149375   198.606350
+    96  12544.0  810.925276      412.971190   198.864492
+    97  12672.0  811.007961      412.097543   198.873965
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  28.831 seconds)
+   **Total running time of the script:** ( 3 minutes  30.496 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 ecb5d685e..38ff5d830 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   2.978909  ...   3.276800              2.978909
+    0    256.0   2.978909  ...   2.978909              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  15.420235             16.384000
+    2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  35.389441             34.028308
     5    896.0  39.025776  ...  40.140799             39.025776
-    6   1024.0  49.932191  ...  53.773130             52.428801
-    7   1152.0  44.566925  ...  48.161033             48.161033
+    6   1024.0  51.150050  ...  53.773130             52.428801
+    7   1152.0  45.242181  ...  47.396572             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  69.009825             68.147202
+    9   1408.0  64.138541  ...  68.147202             67.305878
     10  1536.0  80.430545  ...  81.355034             79.526831
-    11  1664.0  63.372618  ...  63.372618             62.929456
-    12  1792.0  72.983276  ...  73.460287             59.467852
-    13  1920.0  68.776119  ...  71.257735             71.257735
+    11  1664.0  62.929456  ...  63.372618             62.492442
+    12  1792.0  72.512412  ...  73.460287             59.467852
+    13  1920.0  69.120002  ...  71.626943             70.892307
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.494120             86.367588
-    16  2304.0  68.251065  ...  78.064941             77.307030
-    17  2432.0  71.305746  ...  85.915795             83.864074
-    18  2560.0  78.019048  ...  82.747477             81.715711
-    19  2688.0  83.922689  ...  91.185232             89.254248
-    20  2816.0  80.026067  ...  83.712490             83.074685
-    21  2944.0  82.102191  ...  82.921853             82.784108
-    22  3072.0  81.884457  ...  89.310890             88.612060
-    23  3200.0  83.879425  ...  96.096095             93.704243
-    24  3328.0  84.101981  ...  85.602017             85.806075
-    25  3456.0  81.435930  ...  90.687926             90.994998
-    26  3584.0  87.042978  ...  93.273228             96.683219
-    27  3712.0  85.822459  ...  88.876645             87.094458
-    28  3840.0  81.798814  ...  88.050954             88.971840
-    29  3968.0  92.758598  ...  85.871877             91.301109
-    30  4096.0  86.536250  ...  87.041329             91.304576
+    15  2176.0  83.500614  ...  87.876193             86.367588
+    16  2304.0  68.446623  ...  78.064941             77.307030
+    17  2432.0  71.305746  ...  85.915795             75.320281
+    18  2560.0  78.019048  ...  82.747477             81.512437
+    19  2688.0  83.186525  ...  90.640519             89.254248
+    20  2816.0  82.135981  ...  84.035084             83.873477
+    21  2944.0  81.298583  ...  81.431424             83.337844
+    22  3072.0  82.062468  ...  85.275760             88.612060
+    23  3200.0  85.219705  ...  96.822991             95.808380
+    24  3328.0  84.101981  ...  85.398926             84.695641
+    25  3456.0  81.766291  ...  91.824110             90.790053
+    26  3584.0  86.540320  ...  88.238857             94.250936
+    27  3712.0  85.382349  ...  87.322855             86.829501
+    28  3840.0  80.990111  ...  93.563449             84.777307
+    29  3968.0  93.112506  ...  82.840416             84.915752
+    30  4096.0  86.259046  ...  85.489001             89.657802
 
     [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  32.425 seconds)
+   **Total running time of the script:** ( 6 minutes  34.019 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 d1778b13a..8c652cdd2 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  0.012 seconds)
+   **Total running time of the script:** ( 0 minutes  0.013 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 a037620bd..e38364504 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -42,7 +42,7 @@ 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  365.714281  518.481028
-    4    3072.0  712.347810  378.092307  501.551037
+    4    3072.0  712.347810  378.092307  496.484863
     5    3584.0  725.873439  384.859062  451.527536
     6    4096.0  728.177767  381.023256  455.111095
     7    4608.0  670.254540  394.267384  421.302872
@@ -53,21 +53,21 @@ Layer Normalization
     12   7168.0  690.891575  396.844306  387.459443
     13   7680.0  678.895043  393.846167  386.415087
     14   8192.0  639.375598  393.609605  372.363633
-    15   8704.0  624.502255  389.005597  380.502740
-    16   9216.0  604.327881  407.337026  383.002605
-    17   9728.0  585.142883  409.599987  383.369452
+    15   8704.0  627.315309  389.005597  380.502740
+    16   9216.0  606.814809  407.337026  383.999986
+    17   9728.0  587.350922  409.599987  383.369452
     18  10240.0  564.965524  408.578556  382.803739
-    19  10752.0  546.133312  411.559798  381.445676
+    19  10752.0  547.872604  411.559798  381.445676
     20  11264.0  533.207081  406.826188  373.134567
     21  11776.0  520.486200  409.599991  377.587162
-    22  12288.0  516.031509  413.911572  383.251457
+    22  12288.0  514.680630  414.784810  383.251457
     23  12800.0  504.433489  410.420828  376.470582
     24  13312.0  494.180982  405.699062  376.976995
     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
     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  376.783377
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  36.947 seconds)
+   **Total running time of the script:** ( 5 minutes  34.799 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
diff --git a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
index efacddf68..148af1835 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -390,7 +390,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.077 seconds)
+   **Total running time of the script:** ( 0 minutes  0.080 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index d1d076918..2e8ab829b 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**17:19.771** total execution time for **getting-started_tutorials** files:
+**17:23.396** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:32.425 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:34.019 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:36.947 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:34.799 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:28.831 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.496 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.469 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.980 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.077 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.080 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.013 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index deee4a0cc..284ba320d 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -326,23 +326,23 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   31.999999   38.400001
+2       16384.0   38.400001   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  384.000001  341.333321
+6      262144.0  341.333321  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  842.004273
+13   33554432.0  842.004273  843.811163
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.469 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.980 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 21ff77c69..39d7270e2 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,17 +371,17 @@ 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  546.133347      546.133347   188.321838
+0     256.0  546.133347      546.133347   190.511628
 1     384.0  614.400016      585.142862   153.600004
 2     512.0  655.360017      606.814814   154.566038
 3     640.0  706.206879      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   199.038365
-94  12288.0  812.429770      415.661740   199.298541
-95  12416.0  812.498981      412.149375   198.954424
-96  12544.0  812.566838      412.546756   199.111113
-97  12672.0  811.007961      412.097543   199.264875
+93  12160.0  812.359066      406.179533   198.631953
+94  12288.0  812.429770      415.661740   198.995960
+95  12416.0  812.498981      412.149375   198.606350
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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 1d894bea3..5b86b9cbe 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 775c10297..9e68741a5 100644
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diff --git a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
index bbf73a22d..a2086a155 100644
--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,10 +234,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   63.999998
+    3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  384.000001
+    6      262144.0  341.333321  341.333321
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  45.533 seconds)
+   **Total running time of the script:** ( 1 minutes  44.125 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 2d96ed4d8..d669c0052 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   186.181817
-    1     384.0  585.142862      585.142862   153.600004
+    0     256.0  512.000001      546.133347   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   198.895304
-    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  814.058574      406.179533   198.936606
+    94  12288.0  814.111783      415.661740   199.298541
+    95  12416.0  812.498981      412.149375   198.854847
+    96  12544.0  812.566838      412.971190   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  23.377 seconds)
+   **Total running time of the script:** ( 3 minutes  21.143 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 b4e18bb23..f0e125fd5 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  ...   7.899428              7.899428
+    0    256.0   2.730667  ...   3.276800              2.978909
+    1    384.0   7.372800  ...   8.507077              7.899428
     2    512.0  14.563555  ...  16.384000             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  ...  40.140799             39.025776
-    6   1024.0  51.150050  ...  52.428801             52.428801
+    6   1024.0  51.150050  ...  53.773130             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.888887
-    9   1408.0  64.138541  ...  67.305878             67.305878
-    10  1536.0  80.430545  ...  79.526831             79.526831
-    11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.530615             70.172588
-    14  2048.0  73.908442  ...  77.314362             76.959706
+    8   1280.0  51.200001  ...  56.888887             56.109587
+    9   1408.0  64.138541  ...  66.485074             66.485074
+    10  1536.0  80.430545  ...  79.526831             78.643199
+    11  1664.0  62.929456  ...  62.061463             62.061463
+    12  1792.0  72.512412  ...  72.047592             71.588687
+    13  1920.0  69.120002  ...  70.530615             70.530615
+    14  2048.0  73.908442  ...  76.959706             76.959706
     15  2176.0  83.500614  ...  86.367588             85.632545
-    16  2304.0  68.251065  ...  76.319081             76.319081
-    17  2432.0  71.305746  ...  74.918570             84.877538
-    18  2560.0  78.019048  ...  80.908642             81.108913
-    19  2688.0  83.186525  ...  89.464755             89.254248
-    20  2816.0  79.879498  ...  82.602666             82.602666
-    21  2944.0  82.921853  ...  82.784108             82.921853
-    22  3072.0  81.825298  ...  88.473602             89.310890
-    23  3200.0  82.901554  ...  94.674553             94.117647
-    24  3328.0  83.226931  ...  84.200347             83.905938
-    25  3456.0  80.380430  ...  91.097818             86.596744
-    26  3584.0  84.745889  ...  94.250936             94.947616
-    27  3712.0  81.548851  ...  87.706180             86.754095
-    28  3840.0  82.654712  ...  90.723546             86.030338
-    29  3968.0  91.816356  ...  85.211320             91.130650
-    30  4096.0  86.258181  ...  93.239129             89.240508
+    16  2304.0  68.251065  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  85.393507             84.877538
+    18  2560.0  78.019048  ...  80.709358             80.709358
+    19  2688.0  83.369354  ...  90.102270             89.464755
+    20  2816.0  82.446516  ...  82.213395             82.135981
+    21  2944.0  82.102191  ...  83.198715             82.921853
+    22  3072.0  81.589488  ...  87.651868             82.721850
+    23  3200.0  80.402009  ...  95.025983             94.955488
+    24  3328.0  83.323259  ...  81.254285             83.710812
+    25  3456.0  81.849303  ...  90.281712             90.994998
+    26  3584.0  84.033077  ...  91.563533             97.416461
+    27  3712.0  85.601834  ...  89.114488             87.246590
+    28  3840.0  84.356981  ...  87.080314             91.398346
+    29  3968.0  87.035620  ...  91.403695             84.797731
+    30  4096.0  93.596744  ...  91.335643             87.267706
 
     [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  26.200 seconds)
+   **Total running time of the script:** ( 5 minutes  26.004 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..4683e306e 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  0.010 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 d685cd0ca..2260bcadb 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
@@ -38,7 +38,7 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  311.088617   99.096776  311.088617
+    0    1024.0  311.088617   99.096776  307.200008
     1    1536.0  351.085717  133.083026  338.201833
     2    2048.0  423.724127  162.217818  325.509933
     3    2560.0  461.954908  182.857144  325.079368
@@ -47,27 +47,27 @@ Layer Normalization
     6    4096.0  568.231237  220.412561  298.796351
     7    4608.0  498.162157  231.849059  286.507772
     8    5120.0  525.128191  242.845844  283.787523
-    9    5632.0  538.517949  243.107920  291.310338
-    10   6144.0  544.118087  248.661056  286.322318
+    9    5632.0  538.517949  243.107920  290.683877
+    10   6144.0  544.118087  248.661056  285.767458
     11   6656.0  527.207907  256.000009  286.793541
-    12   7168.0  505.976473  261.844750  288.160801
-    13   7680.0  481.253256  260.707203  277.172933
-    14   8192.0  460.440290  268.957600  286.600589
-    15   8704.0  416.958106  267.472468  285.377055
+    12   7168.0  507.469040  261.844750  288.160801
+    13   7680.0  482.513091  260.707203  277.590365
+    14   8192.0  461.521112  269.326017  286.600589
+    15   8704.0  417.791980  267.815384  284.987724
     16   9216.0  428.651187  272.729961  289.507855
-    17   9728.0  439.683593  280.278512  288.950501
-    18  10240.0  447.650282  286.433562  290.153487
-    19  10752.0  430.079980  246.229020  290.267711
-    20  11264.0  429.104745  245.091565  285.767446
-    21  11776.0  421.198220  249.007923  288.539048
-    22  12288.0  420.102570  254.453844  295.207195
-    23  12800.0  415.135142  253.256381  289.811310
+    17   9728.0  438.857162  280.278512  288.950501
+    18  10240.0  447.650282  286.767793  290.496460
+    19  10752.0  430.079980  246.464170  290.267711
+    20  11264.0  429.786952  245.091565  285.767446
+    21  11776.0  421.826879  249.227509  288.686414
+    22  12288.0  420.102570  254.673582  294.911986
+    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  257.108233  289.246765
-    28  15360.0  374.634130  257.610071  288.000007
-    29  15872.0  366.982663  262.708969  291.229369
+    27  14848.0  383.999990  257.293872  289.012175
+    28  15360.0  374.634130  257.610071  287.326580
+    29  15872.0  367.159524  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.171 seconds)
+   **Total running time of the script:** ( 2 minutes  12.763 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 aab6334b6..dde543c22 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
 =================
-**12:47.292** total execution time for **getting-started_tutorials** files:
+**12:44.044** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:26.200 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:26.004 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.377 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.143 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.171 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.763 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.533 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.125 | 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``)       | 00:00.010 | 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 f9a2ca1a9..ed2382847 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,10 +324,10 @@ for different problem sizes.</p>
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 1        8192.0   19.200000   19.200000
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-3       32768.0   63.999998   63.999998
+3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  384.000001
+6      262144.0  341.333321  341.333321
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
@@ -339,7 +339,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.533 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  44.125 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 b58520db0..1b1270fb1 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   186.181817
-1     384.0  585.142862      585.142862   153.600004
+0     256.0  512.000001      546.133347   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
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-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  814.058574      406.179533   198.936606
+94  12288.0  814.111783      415.661740   199.298541
+95  12416.0  812.498981      412.149375   198.854847
+96  12544.0  812.566838      412.971190   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  23.377 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.143 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/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
index d3c029ee0..dd4403c0d 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  ...   7.899428              7.899428
+0    256.0   2.730667  ...   3.276800              2.978909
+1    384.0   7.372800  ...   8.507077              7.899428
 2    512.0  14.563555  ...  16.384000             15.420235
 3    640.0  22.260869  ...  24.380953             24.380953
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 5    896.0  39.025776  ...  40.140799             39.025776
-6   1024.0  51.150050  ...  52.428801             52.428801
+6   1024.0  51.150050  ...  53.773130             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
-8   1280.0  51.200001  ...  56.888887             56.888887
-9   1408.0  64.138541  ...  67.305878             67.305878
-10  1536.0  80.430545  ...  79.526831             79.526831
-11  1664.0  63.372618  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  72.047592             71.588687
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-14  2048.0  73.908442  ...  77.314362             76.959706
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+9   1408.0  64.138541  ...  66.485074             66.485074
+10  1536.0  80.430545  ...  79.526831             78.643199
+11  1664.0  62.929456  ...  62.061463             62.061463
+12  1792.0  72.512412  ...  72.047592             71.588687
+13  1920.0  69.120002  ...  70.530615             70.530615
+14  2048.0  73.908442  ...  76.959706             76.959706
 15  2176.0  83.500614  ...  86.367588             85.632545
-16  2304.0  68.251065  ...  76.319081             76.319081
-17  2432.0  71.305746  ...  74.918570             84.877538
-18  2560.0  78.019048  ...  80.908642             81.108913
-19  2688.0  83.186525  ...  89.464755             89.254248
-20  2816.0  79.879498  ...  82.602666             82.602666
-21  2944.0  82.921853  ...  82.784108             82.921853
-22  3072.0  81.825298  ...  88.473602             89.310890
-23  3200.0  82.901554  ...  94.674553             94.117647
-24  3328.0  83.226931  ...  84.200347             83.905938
-25  3456.0  80.380430  ...  91.097818             86.596744
-26  3584.0  84.745889  ...  94.250936             94.947616
-27  3712.0  81.548851  ...  87.706180             86.754095
-28  3840.0  82.654712  ...  90.723546             86.030338
-29  3968.0  91.816356  ...  85.211320             91.130650
-30  4096.0  86.258181  ...  93.239129             89.240508
+16  2304.0  68.251065  ...  76.809875             76.563695
+17  2432.0  71.305746  ...  85.393507             84.877538
+18  2560.0  78.019048  ...  80.709358             80.709358
+19  2688.0  83.369354  ...  90.102270             89.464755
+20  2816.0  82.446516  ...  82.213395             82.135981
+21  2944.0  82.102191  ...  83.198715             82.921853
+22  3072.0  81.589488  ...  87.651868             82.721850
+23  3200.0  80.402009  ...  95.025983             94.955488
+24  3328.0  83.323259  ...  81.254285             83.710812
+25  3456.0  81.849303  ...  90.281712             90.994998
+26  3584.0  84.033077  ...  91.563533             97.416461
+27  3712.0  85.601834  ...  89.114488             87.246590
+28  3840.0  84.356981  ...  87.080314             91.398346
+29  3968.0  87.035620  ...  91.403695             84.797731
+30  4096.0  93.596744  ...  91.335643             87.267706
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  26.200 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  26.004 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
index 80bb98b3a..12b20c2ba 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>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.011 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.010 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">04-low-memory-dropout.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 1dc801cdf..9f2efb042 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -194,7 +194,7 @@ 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  311.088617   99.096776  311.088617
+0    1024.0  311.088617   99.096776  307.200008
 1    1536.0  351.085717  133.083026  338.201833
 2    2048.0  423.724127  162.217818  325.509933
 3    2560.0  461.954908  182.857144  325.079368
@@ -203,27 +203,27 @@ to download the full example code</p>
 6    4096.0  568.231237  220.412561  298.796351
 7    4608.0  498.162157  231.849059  286.507772
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-9    5632.0  538.517949  243.107920  291.310338
-10   6144.0  544.118087  248.661056  286.322318
+9    5632.0  538.517949  243.107920  290.683877
+10   6144.0  544.118087  248.661056  285.767458
 11   6656.0  527.207907  256.000009  286.793541
-12   7168.0  505.976473  261.844750  288.160801
-13   7680.0  481.253256  260.707203  277.172933
-14   8192.0  460.440290  268.957600  286.600589
-15   8704.0  416.958106  267.472468  285.377055
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+14   8192.0  461.521112  269.326017  286.600589
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