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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 034b49b49..e38d217a9 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 3b332b283..ed063d390 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 dace7dab1..eb9ae4899 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 f9beb9599..b556f5910 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 adae54d8f..7c15025b5 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 6acb46069..b9b076bf4 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 7f1f336e0..6bb3e1b62 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,7 +235,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   63.999998
+    3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  341.333321  384.000001
@@ -245,7 +245,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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  843.811163
+    13   33554432.0  842.004273  842.004273
     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  46.048 seconds)
+   **Total running time of the script:** ( 1 minutes  35.051 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 42ff3da83..18a74353b 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,16 +278,16 @@ 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   186.181817
     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
+    3     640.0  706.206879      640.000002   158.759699
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
     93  12160.0  812.359066      406.179533   198.936606
     94  12288.0  812.429770      415.661740   199.197579
     95  12416.0  812.498981      412.149375   198.854847
-    96  12544.0  810.925276      412.546756   199.111113
+    96  12544.0  810.925276      412.971190   199.111113
     97  12672.0  811.007961      412.097543   199.167004
 
     [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  27.135 seconds)
+   **Total running time of the script:** ( 3 minutes  28.987 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 c13cf62c7..0581f1325 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  ...   2.978909              3.276800
-    1    384.0   7.372800  ...   7.899428              7.899428
-    2    512.0  14.563555  ...  16.384000             15.420235
+    0    256.0   2.978909  ...   2.978909              2.978909
+    1    384.0   7.372800  ...   7.899428              8.507077
+    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  ...  47.396572             47.396572
-    8   1280.0  51.200001  ...  57.690139             57.690139
+    8   1280.0  51.200001  ...  57.690139             56.888887
     9   1408.0  64.138541  ...  68.147202             67.305878
-    10  1536.0  80.430545  ...  81.355034             79.526831
+    10  1536.0  80.430545  ...  81.355034             78.643199
     11  1664.0  62.929456  ...  63.372618             62.492442
     12  1792.0  72.512412  ...  73.460287             59.467852
-    13  1920.0  68.776119  ...  71.626943             71.257735
+    13  1920.0  69.120002  ...  71.257735             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.155572  ...  87.876193             85.998493
-    16  2304.0  68.446623  ...  78.064941             77.057651
-    17  2432.0  71.305746  ...  84.367759             75.320281
+    15  2176.0  83.155572  ...  87.876193             86.367588
+    16  2304.0  68.446623  ...  78.064941             77.307030
+    17  2432.0  71.305746  ...  86.179335             75.118889
     18  2560.0  77.833728  ...  82.747477             81.715711
-    19  2688.0  83.552988  ...  90.966561             89.676257
-    20  2816.0  79.443003  ...  84.523664             83.873477
-    21  2944.0  82.509987  ...  83.337844             82.373605
-    22  3072.0  81.707223  ...  89.310890             89.030036
-    23  3200.0  84.656085  ...  96.530922             94.674553
-    24  3328.0  82.369902  ...  85.398926             85.096096
-    25  3456.0  82.099354  ...  91.824110             90.382926
-    26  3584.0  85.633710  ...  98.375705             98.591437
-    27  3712.0  84.230479  ...  87.783251             82.559787
-    28  3840.0  84.100380  ...  93.563449             84.484863
-    29  3968.0  92.512459  ...  84.976733             91.540836
-    30  4096.0  87.495257  ...  88.127204             91.242506
+    19  2688.0  83.277839  ...  90.532356             88.628636
+    20  2816.0  79.011245  ...  83.712490             83.074685
+    21  2944.0  82.102191  ...  83.337844             82.102191
+    22  3072.0  81.825298  ...  88.890270             88.060814
+    23  3200.0  83.660130  ...  96.096095             92.888243
+    24  3328.0  83.226931  ...  85.500351             84.596116
+    25  3456.0  81.108217  ...  91.771848             85.676480
+    26  3584.0  85.633710  ...  97.416461             97.734120
+    27  3712.0  85.455380  ...  89.194055             87.783251
+    28  3840.0  80.284573  ...  86.197974             89.912191
+    29  3968.0  88.873953  ...  91.747320             84.328915
+    30  4096.0  92.820009  ...  83.055527             89.958266
 
     [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  30.888 seconds)
+   **Total running time of the script:** ( 6 minutes  31.599 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.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 90684adb0..c27a348b9 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  585.142849  277.694907  468.114273
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  668.734716  334.367358  520.126988
+    2    2048.0  682.666643  334.367358  520.126988
     3    2560.0  694.237267  365.714281  512.000013
     4    3072.0  712.347810  378.092307  496.484863
-    5    3584.0  725.873439  384.859062  448.000001
-    6    4096.0  728.177767  381.023256  445.823133
-    7    4608.0  670.254540  394.267384  421.302872
-    8    5120.0  688.403381  397.669909  424.455959
-    9    5632.0  698.542675  395.228063  411.470331
-    10   6144.0  702.171410  402.885254  411.313806
-    11   6656.0  700.631610  398.861429  400.360920
+    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  426.173427
+    8    5120.0  688.403381  397.669909  420.102563
+    9    5632.0  704.000002  395.228063  415.262685
+    10   6144.0  697.191505  402.885254  409.600010
+    11   6656.0  700.631610  400.360920  400.360920
     12   7168.0  690.891575  396.844306  387.459443
     13   7680.0  678.895043  393.846167  386.415087
     14   8192.0  636.271854  393.609605  371.308771
-    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  381.911416
+    15   8704.0  624.502255  389.005597  380.502740
+    16   9216.0  604.327881  407.337026  383.999986
+    17   9728.0  585.142883  409.599987  383.369452
+    18  10240.0  564.965524  408.578556  382.803739
     19  10752.0  546.133312  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  513.336807  413.911572  383.251457
+    22  12288.0  516.031509  413.911572  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  447.098578  406.974373  376.783377
+    29  15872.0  447.887117  406.974373  376.225175
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  36.789 seconds)
+   **Total running time of the script:** ( 5 minutes  32.190 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 59412ecd7..ccacba688 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  0.071 seconds)
+   **Total running time of the script:** ( 0 minutes  0.075 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
index 297ebf116..018c357c7 100644
--- a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
+++ b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.010 seconds)
+   **Total running time of the script:** ( 0 minutes  0.012 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.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 6223dd5bb..7569180cf 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
 =================
-**17:20.953** total execution time for **getting-started_tutorials** files:
+**17:07.926** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:30.888 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:31.599 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:36.789 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:32.190 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:27.135 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:28.987 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.048 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:35.051 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.071 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.075 | 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_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 7267813a7..d3c7f5788 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -327,7 +327,7 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   63.999998
+3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  341.333321  384.000001
@@ -337,12 +337,12 @@ for different problem sizes.</p>
 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  843.811163
+13   33554432.0  842.004273  842.004273
 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  46.048 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  35.051 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 9b31ad167..d10ad0268 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,16 +371,16 @@ 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   186.181817
 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
+3     640.0  706.206879      640.000002   158.759699
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
 93  12160.0  812.359066      406.179533   198.936606
 94  12288.0  812.429770      415.661740   199.197579
 95  12416.0  812.498981      412.149375   198.854847
-96  12544.0  810.925276      412.546756   199.111113
+96  12544.0  810.925276      412.971190   199.111113
 97  12672.0  811.007961      412.097543   199.167004
 
 [98 rows x 4 columns]
@@ -394,7 +394,7 @@ 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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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 ad01adbca..515d057a9 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 be573c40a..ad1a38431 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 8809b7db9..d641c8baf 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
@@ -234,17 +234,17 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   76.800002   76.800002
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  341.333321
+    6      262144.0  384.000001  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  843.811163
+    13   33554432.0  842.004273  842.004273
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  46.079 seconds)
+   **Total running time of the script:** ( 1 minutes  42.405 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 055c17d63..1a2b16b55 100644
--- a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   188.321838
-    1     384.0  614.400016      585.142862   153.600004
+    0     256.0  512.000001      546.133347   190.511628
+    1     384.0  585.142862      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  812.359066      406.179533   198.936606
-    94  12288.0  814.111783      415.661740   199.197579
-    95  12416.0  812.498981      412.149375   198.854847
-    96  12544.0  812.566838      412.546756   199.111113
-    97  12672.0  812.633240      412.097543   199.167004
+    93  12160.0  814.058574      406.179533   198.530610
+    94  12288.0  814.111783      415.661740   198.895304
+    95  12416.0  812.498981      411.296057   198.457532
+    96  12544.0  812.566838      412.971190   198.618504
+    97  12672.0  812.633240      412.516771   198.679085
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  23.840 seconds)
+   **Total running time of the script:** ( 3 minutes  21.462 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 e1cf34f16..30a583f57 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  ...   3.276800              2.978909
+    0    256.0   2.978909  ...   3.276800              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     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
+    5    896.0  39.025776  ...  40.140799             39.025776
     6   1024.0  51.150050  ...  52.428801             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.888887
-    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  ...  71.588687             71.588687
-    13  1920.0  69.120002  ...  70.530615             70.530615
-    14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.500614  ...  86.367588             85.269692
-    16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  74.719317             83.864074
-    18  2560.0  77.833728  ...  81.512437             81.108913
-    19  2688.0  83.552988  ...  89.888756             89.254248
-    20  2816.0  79.733474  ...  82.135981             83.233226
-    21  2944.0  81.832567  ...  82.237674             81.899809
-    22  3072.0  82.661468  ...  88.473602             87.112467
-    23  3200.0  78.817733  ...  91.822093             94.534716
-    24  3328.0  83.226931  ...  84.895397             84.397770
-    25  3456.0  82.099354  ...  86.783176             88.400840
-    26  3584.0  87.042978  ...  91.470385             97.628001
-    27  3712.0  85.822459  ...  80.367933             87.437503
-    28  3840.0  81.859361  ...  85.201850             90.798032
-    29  3968.0  86.973584  ...  91.198760             83.292790
-    30  4096.0  93.401342  ...  92.372834             88.243079
+    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
+    11  1664.0  62.929456  ...  62.061463             62.061463
+    12  1792.0  72.512412  ...  71.588687             71.588687
+    13  1920.0  69.120002  ...  70.172588             70.172588
+    14  2048.0  73.908442  ...  76.959706             76.959706
+    15  2176.0  83.155572  ...  86.367588             85.269692
+    16  2304.0  68.446623  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  74.918570             84.877538
+    18  2560.0  77.833728  ...  81.310171             81.108913
+    19  2688.0  83.552988  ...  89.888756             89.464755
+    20  2816.0  79.733474  ...  83.552120             83.074685
+    21  2944.0  82.237674  ...  81.564701             79.610276
+    22  3072.0  82.661468  ...  88.612060             89.310890
+    23  3200.0  83.989503  ...  95.665176             95.238096
+    24  3328.0  83.130825  ...  84.200347             83.808259
+    25  3456.0  82.688790  ...  87.727494             88.400840
+    26  3584.0  86.958797  ...  97.311031             88.764234
+    27  3712.0  84.159518  ...  82.287760             85.822459
+    28  3840.0  84.679936  ...  86.670843             91.511791
+    29  3968.0  85.810547  ...  91.198760             86.788006
+    30  4096.0  93.336389  ...  92.372834             88.243079
 
     [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  25.378 seconds)
+   **Total running time of the script:** ( 5 minutes  23.071 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.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 7e5d986c7..7e9b2af75 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  311.088617   99.096776  311.088617
-    1    1536.0  351.085717  133.083026  338.201833
-    2    2048.0  423.724127  162.217818  327.679984
-    3    2560.0  461.954908  182.857144  325.079368
-    4    3072.0  511.999982  191.501303  317.793096
-    5    3584.0  554.941930  208.271186  309.410081
-    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
-    11   6656.0  527.207907  256.000009  286.793541
-    12   7168.0  507.469040  262.243907  288.160801
-    13   7680.0  481.253256  260.707203  277.381492
-    14   8192.0  460.440290  269.141693  286.600589
-    15   8704.0  416.958106  267.815384  285.377055
-    16   9216.0  428.651187  272.729961  289.507855
+    0    1024.0  311.088617   98.698793  299.707322
+    1    1536.0  351.085717  135.032961  335.127270
+    2    2048.0  427.408686  160.627450  321.254900
+    3    2560.0  461.954908  181.775141  328.556154
+    4    3072.0  519.211251  192.501302  319.168834
+    5    3584.0  554.941930  208.271186  312.785456
+    6    4096.0  568.231237  220.412561  300.623865
+    7    4608.0  500.416301  232.825259  287.251954
+    8    5120.0  527.381977  241.414550  281.834861
+    9    5632.0  547.238891  242.671458  288.820505
+    10   6144.0  550.208948  251.631408  287.438593
+    11   6656.0  534.260858  256.410903  286.279570
+    12   7168.0  510.480705  257.919035  282.482768
+    13   7680.0  482.513091  265.208635  279.272719
+    14   8192.0  463.698115  267.130429  276.523207
+    15   8704.0  417.791980  263.424974  279.646592
+    16   9216.0  428.651187  273.066667  288.751954
     17   9728.0  439.683593  280.615388  288.950501
-    18  10240.0  447.650282  286.767793  290.496460
-    19  10752.0  430.079980  246.464170  290.267711
-    20  11264.0  429.104745  245.091565  285.767446
-    21  11776.0  421.826879  249.227509  288.686414
-    22  12288.0  420.102570  254.453844  295.207195
-    23  12800.0  415.135142  253.465340  289.811310
-    24  13312.0  412.242569  252.559690  290.179836
-    25  13824.0  404.604870  257.390218  292.571423
-    26  14336.0  398.222222  254.673567  286.481278
-    27  14848.0  384.829370  257.293872  289.246765
-    28  15360.0  374.253788  257.790220  286.656296
-    29  15872.0  366.982663  262.708969  291.229369
+    18  10240.0  446.836366  286.767793  289.469963
+    19  10752.0  432.241202  246.229020  288.644296
+    20  11264.0  429.786952  242.671458  283.966395
+    21  11776.0  423.089806  248.351483  287.219500
+    22  12288.0  418.314886  253.796902  294.323369
+    23  12800.0  416.260178  253.047766  289.265522
+    24  13312.0  413.844560  253.965017  291.769875
+    25  13824.0  403.130022  256.792581  291.543045
+    26  14336.0  397.302533  255.619613  288.402346
+    27  14848.0  381.533186  255.816222  287.844912
+    28  15360.0  371.987899  261.818180  288.450715
+    29  15872.0  366.276922  261.626369  289.679087
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.312 seconds)
+   **Total running time of the script:** ( 2 minutes  11.205 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 8f4f630cf..e52741743 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
 =================
-**12:46.619** total execution time for **getting-started_tutorials** files:
+**12:38.153** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:25.378 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.071 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.840 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.462 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.312 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.205 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.079 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.405 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.011 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/v1.1.2/getting-started/tutorials/01-vector-add.html b/v1.1.2/getting-started/tutorials/01-vector-add.html
index 0037c2e0d..6499935d2 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,22 +324,22 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   76.800002   76.800002
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  341.333321
+6      262144.0  384.000001  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  843.811163
+13   33554432.0  842.004273  842.004273
 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  46.079 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  42.405 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 6193919c5..ac8bae435 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   188.321838
-1     384.0  614.400016      585.142862   153.600004
+0     256.0  512.000001      546.133347   190.511628
+1     384.0  585.142862      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  812.359066      406.179533   198.936606
-94  12288.0  814.111783      415.661740   199.197579
-95  12416.0  812.498981      412.149375   198.854847
-96  12544.0  812.566838      412.546756   199.111113
-97  12672.0  812.633240      412.097543   199.167004
+93  12160.0  814.058574      406.179533   198.530610
+94  12288.0  814.111783      415.661740   198.895304
+95  12416.0  812.498981      411.296057   198.457532
+96  12544.0  812.566838      412.971190   198.618504
+97  12672.0  812.633240      412.516771   198.679085
 
 [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  23.840 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.462 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 81ac0b90d..845c4a6c2 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  ...   3.276800              2.978909
+0    256.0   2.978909  ...   3.276800              2.978909
 1    384.0   7.372800  ...   8.507077              8.507077
 2    512.0  14.563555  ...  16.384000             16.384000
 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
+5    896.0  39.025776  ...  40.140799             39.025776
 6   1024.0  51.150050  ...  52.428801             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
-8   1280.0  51.200001  ...  56.888887             56.888887
-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  ...  71.588687             71.588687
-13  1920.0  69.120002  ...  70.530615             70.530615
-14  2048.0  73.908442  ...  77.314362             76.959706
-15  2176.0  83.500614  ...  86.367588             85.269692
-16  2304.0  68.251065  ...  76.809875             76.563695
-17  2432.0  71.305746  ...  74.719317             83.864074
-18  2560.0  77.833728  ...  81.512437             81.108913
-19  2688.0  83.552988  ...  89.888756             89.254248
-20  2816.0  79.733474  ...  82.135981             83.233226
-21  2944.0  81.832567  ...  82.237674             81.899809
-22  3072.0  82.661468  ...  88.473602             87.112467
-23  3200.0  78.817733  ...  91.822093             94.534716
-24  3328.0  83.226931  ...  84.895397             84.397770
-25  3456.0  82.099354  ...  86.783176             88.400840
-26  3584.0  87.042978  ...  91.470385             97.628001
-27  3712.0  85.822459  ...  80.367933             87.437503
-28  3840.0  81.859361  ...  85.201850             90.798032
-29  3968.0  86.973584  ...  91.198760             83.292790
-30  4096.0  93.401342  ...  92.372834             88.243079
+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
+11  1664.0  62.929456  ...  62.061463             62.061463
+12  1792.0  72.512412  ...  71.588687             71.588687
+13  1920.0  69.120002  ...  70.172588             70.172588
+14  2048.0  73.908442  ...  76.959706             76.959706
+15  2176.0  83.155572  ...  86.367588             85.269692
+16  2304.0  68.446623  ...  76.809875             76.563695
+17  2432.0  71.305746  ...  74.918570             84.877538
+18  2560.0  77.833728  ...  81.310171             81.108913
+19  2688.0  83.552988  ...  89.888756             89.464755
+20  2816.0  79.733474  ...  83.552120             83.074685
+21  2944.0  82.237674  ...  81.564701             79.610276
+22  3072.0  82.661468  ...  88.612060             89.310890
+23  3200.0  83.989503  ...  95.665176             95.238096
+24  3328.0  83.130825  ...  84.200347             83.808259
+25  3456.0  82.688790  ...  87.727494             88.400840
+26  3584.0  86.958797  ...  97.311031             88.764234
+27  3712.0  84.159518  ...  82.287760             85.822459
+28  3840.0  84.679936  ...  86.670843             91.511791
+29  3968.0  85.810547  ...  91.198760             86.788006
+30  4096.0  93.336389  ...  92.372834             88.243079
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  25.378 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  23.071 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/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 0c15ff6be..0aa787ba7 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  311.088617   99.096776  311.088617
-1    1536.0  351.085717  133.083026  338.201833
-2    2048.0  423.724127  162.217818  327.679984
-3    2560.0  461.954908  182.857144  325.079368
-4    3072.0  511.999982  191.501303  317.793096
-5    3584.0  554.941930  208.271186  309.410081
-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
-11   6656.0  527.207907  256.000009  286.793541
-12   7168.0  507.469040  262.243907  288.160801
-13   7680.0  481.253256  260.707203  277.381492
-14   8192.0  460.440290  269.141693  286.600589
-15   8704.0  416.958106  267.815384  285.377055
-16   9216.0  428.651187  272.729961  289.507855
+0    1024.0  311.088617   98.698793  299.707322
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+2    2048.0  427.408686  160.627450  321.254900
+3    2560.0  461.954908  181.775141  328.556154
+4    3072.0  519.211251  192.501302  319.168834
+5    3584.0  554.941930  208.271186  312.785456
+6    4096.0  568.231237  220.412561  300.623865
+7    4608.0  500.416301  232.825259  287.251954
+8    5120.0  527.381977  241.414550  281.834861
+9    5632.0  547.238891  242.671458  288.820505
+10   6144.0  550.208948  251.631408  287.438593
+11   6656.0  534.260858  256.410903  286.279570
+12   7168.0  510.480705  257.919035  282.482768
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