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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 eb44992a5..0d9c1e40a 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 408c7981d..ae8a007e9 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 782a04fe9..0e4e1c4f1 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 346b3c23b..d172e98bb 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 14f9e13de..8b88372f7 100644
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diff --git a/master/_images/sphx_glr_05-layer-norm_thumb.png b/master/_images/sphx_glr_05-layer-norm_thumb.png
index 079d0e60b..f58e82692 100644
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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 86cede4c3..f5d38821d 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -238,14 +238,14 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  341.333321
+    6      262144.0  384.000001  341.333321
     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
 
@@ -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  51.771 seconds)
+   **Total running time of the script:** ( 1 minutes  49.009 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 9dee37d83..8fc841ac3 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -284,11 +284,11 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     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      412.971190   199.111113
-    97  12672.0  811.007961      412.097543   199.167004
+    93  12160.0  812.359066      406.179533   198.733401
+    94  12288.0  812.429770      415.661740   198.995960
+    95  12416.0  812.498981      412.149375   198.655991
+    96  12544.0  810.925276      412.546756   198.913776
+    97  12672.0  811.007961      412.097543   198.971549
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  31.799 seconds)
+   **Total running time of the script:** ( 3 minutes  30.846 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 bd29f584f..ab1ae96a8 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -460,36 +460,36 @@ 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   2.978909  ...   3.276800              3.276800
-    1    384.0   7.372800  ...   7.899428              8.507077
-    2    512.0  14.563555  ...  15.420235             16.384000
+    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  45.242181  ...  47.396572             47.396572
+    6   1024.0  49.932191  ...  53.773130             52.428801
+    7   1152.0  45.242181  ...  48.161033             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  68.147202             67.305878
-    10  1536.0  80.430545  ...  81.355034             78.643199
+    9   1408.0  64.138541  ...  69.009825             68.147202
+    10  1536.0  80.430545  ...  80.430545             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  ...  71.257735             71.257735
+    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  68.446623  ...  78.064941             76.809875
-    17  2432.0  71.305746  ...  85.915795             84.621881
-    18  2560.0  78.019048  ...  82.539044             81.310171
-    19  2688.0  83.369354  ...  90.748936             89.254248
-    20  2816.0  79.733474  ...  84.197315             83.712490
-    21  2944.0  79.610276  ...  83.060049             82.102191
-    22  3072.0  82.301023  ...  89.451983             88.197981
-    23  3200.0  85.447263  ...  97.116842             95.380032
-    24  3328.0  83.178850  ...  85.196803             84.695641
-    25  3456.0  82.688790  ...  84.909497             81.274299
-    26  3584.0  87.381330  ...  98.375705             98.591437
-    27  3712.0  82.423549  ...  89.035062             87.552452
-    28  3840.0  82.716526  ...  85.930069             90.058629
-    29  3968.0  87.913500  ...  91.678389             85.212248
-    30  4096.0  93.206754  ...  86.230472             89.958266
+    15  2176.0  83.500614  ...  87.876193             85.998493
+    16  2304.0  68.446623  ...  78.064941             77.307030
+    17  2432.0  71.305746  ...  85.653855             83.119713
+    18  2560.0  77.833728  ...  82.539044             81.108913
+    19  2688.0  83.369354  ...  90.532356             89.044730
+    20  2816.0  81.674548  ...  83.712490             83.074685
+    21  2944.0  82.373605  ...  83.060049             81.967162
+    22  3072.0  82.062468  ...  89.451983             87.787755
+    23  3200.0  79.701121  ...  88.765601             95.880147
+    24  3328.0  83.323259  ...  83.808259             83.034941
+    25  3456.0  82.688790  ...  84.597660             87.442050
+    26  3584.0  86.291162  ...  97.416461             98.483450
+    27  3712.0  82.152425  ...  83.526206             87.629253
+    28  3840.0  81.019778  ...  88.544438             90.352941
+    29  3968.0  87.976885  ...  92.652949             85.242012
+    30  4096.0  93.271527  ...  87.211002             84.573239
 
     [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:** ( 7 minutes  16.811 seconds)
+   **Total running time of the script:** ( 6 minutes  35.059 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 9eeac46b5..d1778b13a 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  0.283 seconds)
+   **Total running time of the script:** ( 0 minutes  0.012 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 a8d1bac3f..073c7564b 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
-    3    2560.0  694.237267  362.477870  518.481028
-    4    3072.0  712.347810  378.092307  501.551037
-    5    3584.0  725.873439  384.859062  458.751978
-    6    4096.0  728.177767  381.023256  458.293714
-    7    4608.0  670.254540  396.387087  426.173427
-    8    5120.0  688.403381  397.669909  426.666652
-    9    5632.0  704.000002  395.228063  413.357796
-    10   6144.0  697.191505  402.885254  411.313806
+    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  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  705.271522  400.360920  400.360920
-    12   7168.0  686.754468  396.844306  387.459443
-    13   7680.0  682.666656  392.587863  387.634072
-    14   8192.0  633.198054  393.609605  371.308771
+    12   7168.0  690.891575  396.844306  386.154893
+    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  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  413.911572  383.251457
+    21  11776.0  520.486200  409.599991  378.345375
+    22  12288.0  514.680630  414.784810  383.251457
     23  12800.0  504.433489  410.420828  376.470582
     24  13312.0  494.180982  405.699062  376.976995
-    25  13824.0  481.882350  411.888257  379.389355
+    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  446.312810  406.974373  376.225175
+    29  15872.0  447.098578  406.974373  376.225175
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  34.312 seconds)
+   **Total running time of the script:** ( 5 minutes  36.661 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 01680ef7c..94cde5de4 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  0.074 seconds)
+   **Total running time of the script:** ( 0 minutes  0.072 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 617202219..297ebf116 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  0.266 seconds)
+   **Total running time of the script:** ( 0 minutes  0.010 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 11e5bae80..a25fdf89f 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
 =================
-**18:15.317** total execution time for **getting-started_tutorials** files:
+**17:31.669** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:16.811 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:35.059 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:34.312 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:36.661 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:31.799 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.846 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:51.771 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:49.009 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.283 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.266 | 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_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.074 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index bf90a2ee3..67bfe0922 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -330,19 +330,19 @@ for different problem sizes.</p>
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  341.333321
+6      262144.0  384.000001  341.333321
 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  51.771 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  49.009 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 e891c7ff1..7d051ba81 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -377,11 +377,11 @@ We will then compare its performance against (1) <code class="code docutils lite
 3     640.0  706.206879      640.000002   158.759699
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
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index c3d6dfc27..d3f3b2466 100644
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 [31 rows x 5 columns]
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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 e8cd60d33..d429a2efa 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 2dca4dd53..31d85b681 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 a898b5e9e..2886db9dc 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
@@ -233,7 +233,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   38.400001
+    2       16384.0   31.999999   38.400001
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
@@ -244,7 +244,7 @@ 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  842.004273
+    13   33554432.0  842.004273  843.811163
     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  41.371 seconds)
+   **Total running time of the script:** ( 1 minutes  45.352 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 27b05ac56..b840862e5 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
@@ -286,16 +286,16 @@ 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  512.000001      546.133347   186.181817
-    1     384.0  614.400016      585.142862   153.600004
-    2     512.0  655.360017      585.142849   154.566038
-    3     640.0  682.666684      640.000002   160.000000
+    0     256.0  512.000001      546.133347   188.321838
+    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   158.759699
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   199.038365
-    94  12288.0  814.111783      415.661740   199.399583
-    95  12416.0  812.498981      412.149375   198.954424
-    96  12544.0  812.566838      412.971190   199.308841
+    93  12160.0  812.359066      405.755985   199.038365
+    94  12288.0  814.111783      415.222812   199.298541
+    95  12416.0  812.498981      411.296057   198.954424
+    96  12544.0  812.566838      412.971190   199.209928
     97  12672.0  812.633240      412.097543   199.264875
 
     [98 rows x 4 columns]
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  23.212 seconds)
+   **Total running time of the script:** ( 3 minutes  21.402 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 3e219a3ee..508a9890d 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   2.978909              2.978909
+    0    256.0   2.730667  ...   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
-    6   1024.0  51.150050  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  46.656000             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.109587
-    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  ...  72.047592             71.588687
+    5    896.0  37.971025  ...  40.140799             39.025776
+    6   1024.0  51.150050  ...  52.428801             52.428801
+    7   1152.0  45.242181  ...  47.396572             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  69.120002  ...  70.530615             70.530615
     14  2048.0  73.908442  ...  76.959706             76.959706
-    15  2176.0  83.155572  ...  86.367588             85.632545
-    16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  84.621881             84.877538
-    18  2560.0  77.833728  ...  80.908642             80.908642
-    19  2688.0  83.369354  ...  88.836198             88.628636
-    20  2816.0  79.587973  ...  83.074685             82.602666
-    21  2944.0  81.431424  ...  82.784108             81.967162
-    22  3072.0  82.661468  ...  82.241254             88.197981
-    23  3200.0  84.432717  ...  95.167286             95.238096
-    24  3328.0  82.748617  ...  84.695641             84.496824
-    25  3456.0  81.518272  ...  85.767626             88.400840
-    26  3584.0  87.296493  ...  98.483450             91.470385
-    27  3712.0  84.159518  ...  88.483034             83.947349
-    28  3840.0  84.615146  ...  92.468225             84.228485
-    29  3968.0  92.442373  ...  85.093402             90.724116
-    30  4096.0  87.495257  ...  87.495257             92.182504
+    15  2176.0  83.155572  ...  86.367588             85.269692
+    16  2304.0  68.348707  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  74.719317             82.630777
+    18  2560.0  78.019048  ...  80.709358             81.108913
+    19  2688.0  83.186525  ...  89.464755             89.044730
+    20  2816.0  80.617762  ...  83.074685             82.446516
+    21  2944.0  82.102191  ...  83.060049             82.509987
+    22  3072.0  81.530748  ...  89.030036             89.310890
+    23  3200.0  84.544253  ...  95.096582             95.096582
+    24  3328.0  84.003845  ...  80.437202             83.808259
+    25  3456.0  81.849303  ...  90.892410             91.097818
+    26  3584.0  83.954614  ...  93.611591             98.591437
+    27  3712.0  85.382349  ...  83.526206             87.475786
+    28  3840.0  81.798814  ...  85.333335             91.549669
+    29  3968.0  88.938731  ...  91.198760             85.871877
+    30  4096.0  93.271527  ...  92.309303             85.217605
 
     [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  22.961 seconds)
+   **Total running time of the script:** ( 5 minutes  24.156 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 7a320b2e6..df184c041 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  325.509933
-    3    2560.0  461.954908  182.314537  326.808501
-    4    3072.0  511.999982  191.005181  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  291.799469
-    8    5120.0  525.128191  242.845844  287.775181
-    9    5632.0  538.517949  243.545956  290.683877
-    10   6144.0  542.117638  248.661056  286.322318
-    11   6656.0  527.207907  256.000009  286.279570
-    12   7168.0  507.469040  262.243907  288.644296
-    13   7680.0  482.513091  260.338991  276.756754
-    14   8192.0  460.440290  269.326017  287.018988
-    15   8704.0  416.958106  267.815384  284.987724
-    16   9216.0  428.651187  273.066667  289.507855
-    17   9728.0  438.857162  280.278512  288.950501
-    18  10240.0  447.650282  286.433562  289.811322
-    19  10752.0  429.364408  246.464170  290.267711
-    20  11264.0  429.104745  245.091565  285.767446
-    21  11776.0  421.198220  249.447482  288.686414
-    22  12288.0  420.102570  254.673582  294.911986
-    23  12800.0  415.696898  253.465340  288.180121
-    24  13312.0  412.242569  252.559690  290.179836
-    25  13824.0  405.098897  257.390218  292.571423
-    26  14336.0  398.222222  254.862216  286.481278
-    27  14848.0  383.999990  257.293872  289.246765
-    28  15360.0  374.253788  257.610071  286.433562
-    29  15872.0  366.982663  262.708969  291.229369
+    0    1024.0  311.088617   99.497980  307.200008
+    1    1536.0  351.085717  133.565214  341.333333
+    2    2048.0  427.408686  159.067963  334.367350
+    3    2560.0  461.954908  183.402991  330.322572
+    4    3072.0  515.580429  193.005236  320.556515
+    5    3584.0  551.384634  208.271186  309.410081
+    6    4096.0  568.231237  220.412561  296.990947
+    7    4608.0  500.416301  232.825259  287.251954
+    8    5120.0  527.381977  240.469672  283.133649
+    9    5632.0  542.843364  240.941167  288.204696
+    10   6144.0  546.133354  250.349744  286.879370
+    11   6656.0  527.207907  254.775119  284.748652
+    12   7168.0  512.000004  253.360829  276.578769
+    13   7680.0  479.999983  263.690977  281.834874
+    14   8192.0  461.521112  265.327937  278.481578
+    15   8704.0  417.791980  264.425310  281.530996
+    16   9216.0  430.319054  271.724806  289.129410
+    17   9728.0  440.513191  280.615388  289.308559
+    18  10240.0  445.217381  286.100109  289.811322
+    19  10752.0  430.079980  246.699797  288.967529
+    20  11264.0  429.104745  241.803217  283.074347
+    21  11776.0  423.089806  248.569911  288.391833
+    22  12288.0  420.701865  253.578674  294.323369
+    23  12800.0  414.016170  252.839495  289.811310
+    24  13312.0  413.309181  250.382435  289.129403
+    25  13824.0  404.604870  256.000005  291.287079
+    26  14336.0  396.844280  254.673567  287.678923
+    27  14848.0  384.414233  257.293872  288.544136
+    28  15360.0  377.704925  259.605636  288.676598
+    29  15872.0  367.336555  263.800544  291.898841
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.205 seconds)
+   **Total running time of the script:** ( 2 minutes  12.282 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 3067f23a8..b05b30e34 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
 =================
-**12:39.760** total execution time for **getting-started_tutorials** files:
+**12:43.203** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:22.961 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.156 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.212 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.402 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.205 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.282 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.371 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.352 | 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 5e3c2fc20..48364e9ba 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,7 +323,7 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   38.400001   38.400001
+2       16384.0   31.999999   38.400001
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
@@ -334,12 +334,12 @@ 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  842.004273
+13   33554432.0  842.004273  843.811163
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.371 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.352 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 d0c977925..28fb3c013 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,16 +374,16 @@ 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  512.000001      546.133347   186.181817
-1     384.0  614.400016      585.142862   153.600004
-2     512.0  655.360017      585.142849   154.566038
-3     640.0  682.666684      640.000002   160.000000
+0     256.0  512.000001      546.133347   188.321838
+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   158.759699
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   199.038365
-94  12288.0  814.111783      415.661740   199.399583
-95  12416.0  812.498981      412.149375   198.954424
-96  12544.0  812.566838      412.971190   199.308841
+93  12160.0  812.359066      405.755985   199.038365
+94  12288.0  814.111783      415.222812   199.298541
+95  12416.0  812.498981      411.296057   198.954424
+96  12544.0  812.566838      412.971190   199.209928
 97  12672.0  812.633240      412.097543   199.264875
 
 [98 rows x 4 columns]
@@ -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  23.212 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.402 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 1572d2121..76b9a4124 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,42 +568,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.730667  ...   2.978909              2.978909
+0    256.0   2.730667  ...   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
-6   1024.0  51.150050  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  46.656000             46.656000
-8   1280.0  51.200001  ...  56.888887             56.109587
-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  ...  72.047592             71.588687
+5    896.0  37.971025  ...  40.140799             39.025776
+6   1024.0  51.150050  ...  52.428801             52.428801
+7   1152.0  45.242181  ...  47.396572             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  69.120002  ...  70.530615             70.530615
 14  2048.0  73.908442  ...  76.959706             76.959706
-15  2176.0  83.155572  ...  86.367588             85.632545
-16  2304.0  68.251065  ...  76.809875             76.563695
-17  2432.0  71.305746  ...  84.621881             84.877538
-18  2560.0  77.833728  ...  80.908642             80.908642
-19  2688.0  83.369354  ...  88.836198             88.628636
-20  2816.0  79.587973  ...  83.074685             82.602666
-21  2944.0  81.431424  ...  82.784108             81.967162
-22  3072.0  82.661468  ...  82.241254             88.197981
-23  3200.0  84.432717  ...  95.167286             95.238096
-24  3328.0  82.748617  ...  84.695641             84.496824
-25  3456.0  81.518272  ...  85.767626             88.400840
-26  3584.0  87.296493  ...  98.483450             91.470385
-27  3712.0  84.159518  ...  88.483034             83.947349
-28  3840.0  84.615146  ...  92.468225             84.228485
-29  3968.0  92.442373  ...  85.093402             90.724116
-30  4096.0  87.495257  ...  87.495257             92.182504
+15  2176.0  83.155572  ...  86.367588             85.269692
+16  2304.0  68.348707  ...  76.809875             76.563695
+17  2432.0  71.305746  ...  74.719317             82.630777
+18  2560.0  78.019048  ...  80.709358             81.108913
+19  2688.0  83.186525  ...  89.464755             89.044730
+20  2816.0  80.617762  ...  83.074685             82.446516
+21  2944.0  82.102191  ...  83.060049             82.509987
+22  3072.0  81.530748  ...  89.030036             89.310890
+23  3200.0  84.544253  ...  95.096582             95.096582
+24  3328.0  84.003845  ...  80.437202             83.808259
+25  3456.0  81.849303  ...  90.892410             91.097818
+26  3584.0  83.954614  ...  93.611591             98.591437
+27  3712.0  85.382349  ...  83.526206             87.475786
+28  3840.0  81.798814  ...  85.333335             91.549669
+29  3968.0  88.938731  ...  91.198760             85.871877
+30  4096.0  93.271527  ...  92.309303             85.217605
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  22.961 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  24.156 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 f84b1873c..5c5030553 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  325.509933
-3    2560.0  461.954908  182.314537  326.808501
-4    3072.0  511.999982  191.005181  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  291.799469
-8    5120.0  525.128191  242.845844  287.775181
-9    5632.0  538.517949  243.545956  290.683877
-10   6144.0  542.117638  248.661056  286.322318
-11   6656.0  527.207907  256.000009  286.279570
-12   7168.0  507.469040  262.243907  288.644296
-13   7680.0  482.513091  260.338991  276.756754
-14   8192.0  460.440290  269.326017  287.018988
-15   8704.0  416.958106  267.815384  284.987724
-16   9216.0  428.651187  273.066667  289.507855
-17   9728.0  438.857162  280.278512  288.950501
-18  10240.0  447.650282  286.433562  289.811322
-19  10752.0  429.364408  246.464170  290.267711
-20  11264.0  429.104745  245.091565  285.767446
-21  11776.0  421.198220  249.447482  288.686414
-22  12288.0  420.102570  254.673582  294.911986
-23  12800.0  415.696898  253.465340  288.180121
-24  13312.0  412.242569  252.559690  290.179836
-25  13824.0  405.098897  257.390218  292.571423
-26  14336.0  398.222222  254.862216  286.481278
-27  14848.0  383.999990  257.293872  289.246765
-28  15360.0  374.253788  257.610071  286.433562
-29  15872.0  366.982663  262.708969  291.229369
+0    1024.0  311.088617   99.497980  307.200008
+1    1536.0  351.085717  133.565214  341.333333
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