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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 73faeb755..3b546a8db 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 57cc25d89..3684e579f 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 3dc363af9..e31e42bad 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 edca8ef6b..eed2a35e6 100644
Binary files a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png and b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png differ
diff --git a/master/_images/sphx_glr_05-layer-norm_001.png b/master/_images/sphx_glr_05-layer-norm_001.png
index 350f57c99..3b7b846ba 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 6e7e9bfd4..090b8a17a 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 adc224a0c..23aeee474 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -238,7 +238,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  384.000001  384.000001
+    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
@@ -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  41.961 seconds)
+   **Total running time of the script:** ( 1 minutes  47.167 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 9e58d7125..ee6868b08 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   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
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.530610
-    94  12288.0  812.429770      415.661740   198.895304
-    95  12416.0  812.498981      412.149375   198.457532
-    96  12544.0  812.566838      412.546756   198.766042
-    97  12672.0  811.007961      412.097543   198.873965
+    93  12160.0  812.359066      406.179533   198.834951
+    94  12288.0  812.429770      415.661740   199.197579
+    95  12416.0  812.498981      412.149375   198.755369
+    96  12544.0  810.925276      412.971190   199.012395
+    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  30.330 seconds)
+   **Total running time of the script:** ( 3 minutes  30.809 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 1e3cb1134..de8709881 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
+    0    256.0   2.730667  ...   2.978909              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     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  51.150050  ...  53.773130             52.428801
+    6   1024.0  49.932191  ...  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  ...  68.147202             67.305878
     10  1536.0  80.430545  ...  81.355034             79.526831
     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             71.626943
+    13  1920.0  69.120002  ...  71.626943             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.876193             86.367588
-    16  2304.0  68.643310  ...  78.064941             77.307030
-    17  2432.0  71.305746  ...  84.621881             84.115159
-    18  2560.0  78.019048  ...  82.331658             81.715711
-    19  2688.0  83.369354  ...  90.102270             89.888756
-    20  2816.0  79.733474  ...  84.687779             83.233226
-    21  2944.0  82.034625  ...  83.060049             82.784108
-    22  3072.0  82.062468  ...  87.112467             88.890270
-    23  3200.0  84.768213  ...  96.676741             95.522391
-    24  3328.0  83.130825  ...  85.297742             84.298943
-    25  3456.0  79.430113  ...  91.928814             90.790053
-    26  3584.0  85.633710  ...  90.275083             94.697621
-    27  3712.0  85.822459  ...  81.414891             86.716441
-    28  3840.0  81.019778  ...  87.217666             90.500819
-    29  3968.0  85.869991  ...  92.024087             84.039426
-    30  4096.0  93.336389  ...  84.254693             89.777746
+    15  2176.0  83.500614  ...  87.494120             85.998493
+    16  2304.0  68.446623  ...  78.064941             77.057651
+    17  2432.0  71.305746  ...  85.915795             75.522751
+    18  2560.0  78.019048  ...  82.956960             81.512437
+    19  2688.0  83.737433  ...  90.102270             88.836198
+    20  2816.0  80.026067  ...  84.197315             83.233226
+    21  2944.0  81.967162  ...  83.198715             83.337844
+    22  3072.0  81.943708  ...  87.924073             86.845249
+    23  3200.0  79.900126  ...  96.385543             95.522391
+    24  3328.0  83.613586  ...  85.196803             84.298943
+    25  3456.0  81.849303  ...  91.615417             85.676480
+    26  3584.0  84.825838  ...  91.470385             95.249353
+    27  3712.0  84.088676  ...  88.561477             84.910620
+    28  3840.0  85.070769  ...  91.473945             85.796739
+    29  3968.0  88.938731  ...  92.337443             87.159957
+    30  4096.0  93.596744  ...  92.916396             86.396995
 
     [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  31.595 seconds)
+   **Total running time of the script:** ( 7 minutes  11.839 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..2abbb6d1d 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  0.293 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 70eb6768c..0739b4f70 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm:
               N      Triton       Torch        Apex
-    0    1024.0  585.142849  277.694907  468.114273
+    0    1024.0  585.142849  277.694907  481.882344
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  682.666643  334.367358  520.126988
+    2    2048.0  668.734716  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
+    4    3072.0  712.347810  378.092307  501.551037
+    5    3584.0  725.873439  384.859062  455.111115
     6    4096.0  728.177767  381.023256  455.111095
-    7    4608.0  670.254540  394.267384  426.173427
+    7    4608.0  670.254540  396.387087  428.651163
     8    5120.0  688.403381  397.669909  422.268057
-    9    5632.0  704.000002  396.969169  415.262685
-    10   6144.0  697.191505  402.885254  409.600010
+    9    5632.0  704.000002  395.228063  417.185184
+    10   6144.0  697.191505  402.885254  411.313806
     11   6656.0  705.271522  400.360920  400.360920
     12   7168.0  690.891575  396.844306  387.459443
-    13   7680.0  678.895043  393.846167  387.634072
-    14   8192.0  636.271854  393.609605  371.308771
+    13   7680.0  678.895043  392.587863  387.634072
+    14   8192.0  633.198054  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  409.600010  382.803739
+    18  10240.0  564.965524  408.578556  382.803739
     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  514.680630  414.784810  383.251457
-    23  12800.0  504.433489  410.420828  376.470582
+    22  12288.0  514.680630  413.911572  383.251457
+    23  12800.0  504.433489  410.420828  377.163903
     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  376.783377
+    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  30.987 seconds)
+   **Total running time of the script:** ( 5 minutes  31.924 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 d70524244..f7b9921d5 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -385,7 +385,7 @@ 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  0.071 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..7db38fb6e 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  0.254 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 c1fc05a83..fdefcf10a 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
 =================
-**17:14.972** total execution time for **getting-started_tutorials** files:
+**18:02.357** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:31.595 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:11.839 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:30.987 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:31.924 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.330 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.809 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.961 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:47.167 | 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_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.293 | 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``)       | 00:00.254 | 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_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.071 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index b7000e8c6..9129a3a28 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -330,7 +330,7 @@ for different problem sizes.</p>
 3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  384.000001  384.000001
+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
@@ -342,7 +342,7 @@ 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  41.961 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  47.167 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 fab9bd53e..2571b241c 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   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
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.530610
-94  12288.0  812.429770      415.661740   198.895304
-95  12416.0  812.498981      412.149375   198.457532
-96  12544.0  812.566838      412.546756   198.766042
-97  12672.0  811.007961      412.097543   198.873965
+93  12160.0  812.359066      406.179533   198.834951
+94  12288.0  812.429770      415.661740   199.197579
+95  12416.0  812.498981      412.149375   198.755369
+96  12544.0  810.925276      412.971190   199.012395
+97  12672.0  811.007961      412.097543   199.167004
 
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diff --git a/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
index 8095a907e..2a33fac73 100644
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 [31 rows x 5 columns]
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index e9b6a698c..69d67b34b 100644
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 15   8704.0  627.315309  389.005597  380.502740
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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 86ff78c45..7d45d1570 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 43d2f0cc9..bcabbc748 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 7ed1988fc..a314f083f 100644
--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -233,11 +233,11 @@ 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   31.999999
+    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  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  41.626 seconds)
+   **Total running time of the script:** ( 1 minutes  38.377 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 e9992b1de..ed0d117e9 100644
--- a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   188.321838
+    0     256.0  512.000001      546.133347     6.756288
     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   198.936606
-    94  12288.0  814.111783      415.222812   199.298541
-    95  12416.0  812.498981      412.149375   198.854847
-    96  12544.0  812.566838      412.971190   199.209928
-    97  12672.0  812.633240      412.097543   199.264875
+    93  12160.0  814.058574      406.179533   198.631953
+    94  12288.0  814.111783      415.661740   198.995960
+    95  12416.0  812.498981      411.722274   198.655991
+    96  12544.0  812.566838      412.546756   198.815254
+    97  12672.0  812.633240      412.097543   198.971549
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  22.324 seconds)
+   **Total running time of the script:** ( 3 minutes  22.011 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 316cf7ffb..65ff3d4b7 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -463,36 +463,36 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
     0    256.0   2.730667  ...   3.276800              2.978909
-    1    384.0   7.372800  ...   8.507077              7.899428
+    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  ...  35.389441             34.028308
-    5    896.0  39.025776  ...  40.140799             39.025776
-    6   1024.0  51.150050  ...  53.773130             52.428801
-    7   1152.0  44.566925  ...  46.656000             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.109587
-    9   1408.0  64.138541  ...  67.305878             66.485074
-    10  1536.0  80.430545  ...  79.526831             78.643199
-    11  1664.0  62.929456  ...  62.061463             62.061463
-    12  1792.0  72.512412  ...  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  ...  85.632545             85.632545
-    16  2304.0  68.251065  ...  76.809875             76.809875
-    17  2432.0  71.305746  ...  74.918570             84.115159
-    18  2560.0  78.019048  ...  81.512437             80.709358
-    19  2688.0  83.922689  ...  89.888756             89.464755
-    20  2816.0  79.154642  ...  82.602666             82.602666
-    21  2944.0  80.510553  ...  82.305584             81.967162
-    22  3072.0  81.943708  ...  88.542777             88.197981
-    23  3200.0  84.432717  ...  95.167286             95.309011
-    24  3328.0  83.323259  ...  84.695641             84.496824
-    25  3456.0  80.986004  ...  87.632137             90.180725
-    26  3584.0  87.127323  ...  94.548254             90.095580
-    27  3712.0  84.017953  ...  86.528661             85.822459
-    28  3840.0  84.679936  ...  91.322872             88.615388
-    29  3968.0  92.864488  ...  81.025193             80.971427
-    30  4096.0  92.500158  ...  85.325956             84.254693
+    4    768.0  32.768000  ...  34.028308             34.028308
+    5    896.0  39.025776  ...  39.025776             39.025776
+    6   1024.0  51.150050  ...  52.428801             52.428801
+    7   1152.0  45.242181  ...  46.656000             46.656000
+    8   1280.0  51.200001  ...  56.888887             56.888887
+    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  ...  72.512412             72.047592
+    13  1920.0  69.467336  ...  70.892307             70.530615
+    14  2048.0  74.235468  ...  77.314362             76.959706
+    15  2176.0  83.500614  ...  86.367588             85.632545
+    16  2304.0  68.251065  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  83.614477             84.877538
+    18  2560.0  77.833728  ...  81.512437             81.108913
+    19  2688.0  83.552988  ...  89.464755             89.888756
+    20  2816.0  81.067298  ...  83.233226             82.602666
+    21  2944.0  82.102191  ...  82.784108             82.921853
+    22  3072.0  81.707223  ...  86.315709             88.197981
+    23  3200.0  84.210524  ...  94.955488             95.451158
+    24  3328.0  82.653612  ...  82.275764             84.695641
+    25  3456.0  80.945348  ...  91.046379             91.097818
+    26  3584.0  85.106854  ...  90.367227             96.475743
+    27  3712.0  85.528545  ...  87.783251             87.475786
+    28  3840.0  82.716526  ...  86.400002             91.701494
+    29  3968.0  85.811488  ...  91.678389             83.690893
+    30  4096.0  93.792965  ...  89.418872             87.324485
 
     [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  7.140 seconds)
+   **Total running time of the script:** ( 5 minutes  24.601 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 c32d65ffa..b83c2a48c 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
@@ -39,35 +39,35 @@ Layer Normalization
     layer-norm-backward:
               N      Triton       Torch        Apex
     0    1024.0  311.088617   99.497980  311.088617
-    1    1536.0  351.085717  133.083026  341.333333
+    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  326.808501
-    4    3072.0  511.999982  191.501303  317.793096
-    5    3584.0  554.941930  208.271186  308.301075
-    6    4096.0  568.231237  220.412561  294.323343
-    7    4608.0  498.162157  231.849059  291.031570
-    8    5120.0  525.128191  242.845844  287.102804
-    9    5632.0  538.517949  243.545956  290.683877
-    10   6144.0  544.118087  248.661056  285.767458
-    11   6656.0  527.207907  256.410903  286.793541
-    12   7168.0  507.469040  262.243907  288.644296
-    13   7680.0  482.513091  260.707203  277.590365
+    3    2560.0  461.954908  182.857144  325.079368
+    4    3072.0  511.999982  191.501303  319.168834
+    5    3584.0  554.941930  208.271186  309.410081
+    6    4096.0  568.231237  220.412561  299.707322
+    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  285.214712
+    11   6656.0  527.207907  256.000009  286.793541
+    12   7168.0  507.469040  262.243907  288.160801
+    13   7680.0  482.513091  260.707203  273.471806
     14   8192.0  460.440290  269.326017  286.600589
     15   8704.0  416.958106  267.815384  284.987724
-    16   9216.0  428.651187  273.066667  289.507855
-    17   9728.0  439.683593  280.615388  288.950501
-    18  10240.0  447.650282  286.767793  289.811322
-    19  10752.0  430.079980  246.464170  290.267711
-    20  11264.0  429.104745  245.091565  285.767446
-    21  11776.0  421.826879  249.447482  288.686414
+    16   9216.0  428.651187  272.729961  289.507855
+    17   9728.0  438.857162  280.615388  289.308559
+    18  10240.0  447.650282  286.433562  288.112552
+    19  10752.0  429.364408  245.994291  290.267711
+    20  11264.0  429.104745  245.091565  286.069848
+    21  11776.0  421.826879  248.569911  288.686414
     22  12288.0  420.102570  254.453844  295.207195
-    23  12800.0  415.696898  253.674644  288.450715
-    24  13312.0  412.242569  252.759501  290.179836
-    25  13824.0  405.594132  257.390218  292.571423
-    26  14336.0  397.761846  254.862216  286.481278
-    27  14848.0  384.414233  257.293872  289.246765
-    28  15360.0  374.253788  257.790220  286.433562
-    29  15872.0  366.982663  262.708969  291.229369
+    23  12800.0  415.696898  253.047766  288.450715
+    24  13312.0  412.775186  252.759501  290.179836
+    25  13824.0  405.098897  256.991469  292.571423
+    26  14336.0  397.761846  254.673567  286.481278
+    27  14848.0  383.999990  257.293872  289.246765
+    28  15360.0  374.253788  257.610071  285.546077
+    29  15872.0  367.336555  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.370 seconds)
+   **Total running time of the script:** ( 2 minutes  11.501 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 ad6ea098e..3f805d53f 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
 =================
-**12:23.470** total execution time for **getting-started_tutorials** files:
+**12:36.500** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:07.140 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.601 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.324 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.011 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.370 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.501 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.626 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:38.377 | 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 af3cc813e..4f9d42f24 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,11 +323,11 @@ 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   31.999999
+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  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  41.626 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.377 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 a0a4b052d..b44b31568 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   188.321838
+0     256.0  512.000001      546.133347     6.756288
 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   198.936606
-94  12288.0  814.111783      415.222812   199.298541
-95  12416.0  812.498981      412.149375   198.854847
-96  12544.0  812.566838      412.971190   199.209928
-97  12672.0  812.633240      412.097543   199.264875
+93  12160.0  814.058574      406.179533   198.631953
+94  12288.0  814.111783      415.661740   198.995960
+95  12416.0  812.498981      411.722274   198.655991
+96  12544.0  812.566838      412.546756   198.815254
+97  12672.0  812.633240      412.097543   198.971549
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.324 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.011 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 74154223e..b6d510914 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -569,41 +569,41 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
 0    256.0   2.730667  ...   3.276800              2.978909
-1    384.0   7.372800  ...   8.507077              7.899428
+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  ...  35.389441             34.028308
-5    896.0  39.025776  ...  40.140799             39.025776
-6   1024.0  51.150050  ...  53.773130             52.428801
-7   1152.0  44.566925  ...  46.656000             46.656000
-8   1280.0  51.200001  ...  56.888887             56.109587
-9   1408.0  64.138541  ...  67.305878             66.485074
-10  1536.0  80.430545  ...  79.526831             78.643199
-11  1664.0  62.929456  ...  62.061463             62.061463
-12  1792.0  72.512412  ...  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  ...  85.632545             85.632545
-16  2304.0  68.251065  ...  76.809875             76.809875
-17  2432.0  71.305746  ...  74.918570             84.115159
-18  2560.0  78.019048  ...  81.512437             80.709358
-19  2688.0  83.922689  ...  89.888756             89.464755
-20  2816.0  79.154642  ...  82.602666             82.602666
-21  2944.0  80.510553  ...  82.305584             81.967162
-22  3072.0  81.943708  ...  88.542777             88.197981
-23  3200.0  84.432717  ...  95.167286             95.309011
-24  3328.0  83.323259  ...  84.695641             84.496824
-25  3456.0  80.986004  ...  87.632137             90.180725
-26  3584.0  87.127323  ...  94.548254             90.095580
-27  3712.0  84.017953  ...  86.528661             85.822459
-28  3840.0  84.679936  ...  91.322872             88.615388
-29  3968.0  92.864488  ...  81.025193             80.971427
-30  4096.0  92.500158  ...  85.325956             84.254693
+4    768.0  32.768000  ...  34.028308             34.028308
+5    896.0  39.025776  ...  39.025776             39.025776
+6   1024.0  51.150050  ...  52.428801             52.428801
+7   1152.0  45.242181  ...  46.656000             46.656000
+8   1280.0  51.200001  ...  56.888887             56.888887
+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  ...  72.512412             72.047592
+13  1920.0  69.467336  ...  70.892307             70.530615
+14  2048.0  74.235468  ...  77.314362             76.959706
+15  2176.0  83.500614  ...  86.367588             85.632545
+16  2304.0  68.251065  ...  76.809875             76.563695
+17  2432.0  71.305746  ...  83.614477             84.877538
+18  2560.0  77.833728  ...  81.512437             81.108913
+19  2688.0  83.552988  ...  89.464755             89.888756
+20  2816.0  81.067298  ...  83.233226             82.602666
+21  2944.0  82.102191  ...  82.784108             82.921853
+22  3072.0  81.707223  ...  86.315709             88.197981
+23  3200.0  84.210524  ...  94.955488             95.451158
+24  3328.0  82.653612  ...  82.275764             84.695641
+25  3456.0  80.945348  ...  91.046379             91.097818
+26  3584.0  85.106854  ...  90.367227             96.475743
+27  3712.0  85.528545  ...  87.783251             87.475786
+28  3840.0  82.716526  ...  86.400002             91.701494
+29  3968.0  85.811488  ...  91.678389             83.690893
+30  4096.0  93.792965  ...  89.418872             87.324485
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  7.140 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  24.601 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 72d62d308..8cf7ed7d3 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -195,35 +195,35 @@ to download the full example code</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   99.497980  311.088617
-1    1536.0  351.085717  133.083026  341.333333
+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  326.808501
-4    3072.0  511.999982  191.501303  317.793096
-5    3584.0  554.941930  208.271186  308.301075
-6    4096.0  568.231237  220.412561  294.323343
-7    4608.0  498.162157  231.849059  291.031570
-8    5120.0  525.128191  242.845844  287.102804
-9    5632.0  538.517949  243.545956  290.683877
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-11   6656.0  527.207907  256.410903  286.793541
-12   7168.0  507.469040  262.243907  288.644296
-13   7680.0  482.513091  260.707203  277.590365
+3    2560.0  461.954908  182.857144  325.079368
+4    3072.0  511.999982  191.501303  319.168834
+5    3584.0  554.941930  208.271186  309.410081
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+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  285.214712
+11   6656.0  527.207907  256.000009  286.793541
+12   7168.0  507.469040  262.243907  288.160801
+13   7680.0  482.513091  260.707203  273.471806
 14   8192.0  460.440290  269.326017  286.600589
 15   8704.0  416.958106  267.815384  284.987724
-16   9216.0  428.651187  273.066667  289.507855
-17   9728.0  439.683593  280.615388  288.950501
-18  10240.0  447.650282  286.767793  289.811322
-19  10752.0  430.079980  246.464170  290.267711
-20  11264.0  429.104745  245.091565  285.767446
-21  11776.0  421.826879  249.447482  288.686414
+16   9216.0  428.651187  272.729961  289.507855
+17   9728.0  438.857162  280.615388  289.308559
+18  10240.0  447.650282  286.433562  288.112552
+19  10752.0  429.364408  245.994291  290.267711
+20  11264.0  429.104745  245.091565  286.069848
+21  11776.0  421.826879  248.569911  288.686414
 22  12288.0  420.102570  254.453844  295.207195
-23  12800.0  415.696898  253.674644  288.450715
-24  13312.0  412.242569  252.759501  290.179836
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