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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 0fa79baae..f5c8db163 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 16721ba37..189d565c5 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 3c9aecbfb..2af54bbac 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 f2d76bf95..08d934c07 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 c8170f4c0..e37c49f6a 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 687ed8042..0797e18f7 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 e3e2e327b..31e7ce85f 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,7 +235,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   63.999998
+    3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  384.000001  384.000001
@@ -245,7 +245,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  842.004273
+    13   33554432.0  842.004273  843.811163
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  35.074 seconds)
+   **Total running time of the script:** ( 1 minutes  46.290 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 9f733bb2f..87700d217 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   186.181817
+    0     256.0  546.133347      546.133347   188.321838
     1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
-    3     640.0  706.206879      640.000002   158.759699
+    3     640.0  706.206879      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.530610
-    94  12288.0  812.429770      415.661740   198.895304
-    95  12416.0  812.498981      412.149375   198.556711
-    96  12544.0  810.925276      412.971190   198.716830
-    97  12672.0  811.007961      412.097543   198.873965
+    93  12160.0  812.359066      406.179533   199.038365
+    94  12288.0  812.429770      416.101597   199.298541
+    95  12416.0  812.498981      412.149375   198.854847
+    96  12544.0  810.925276      412.546756   199.209928
+    97  12672.0  811.007961      412.097543   199.264875
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  27.238 seconds)
+   **Total running time of the script:** ( 3 minutes  32.806 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 81517b8f1..e187ff92e 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   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   7.899428              8.507077
+    0    256.0   2.978909  ...   2.978909              2.978909
+    1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  15.420235             16.384000
     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  ...  48.161033             47.396572
+    6   1024.0  49.932191  ...  53.773130             52.428801
+    7   1152.0  45.242181  ...  48.161033             48.161033
     8   1280.0  51.200001  ...  57.690139             57.690139
     9   1408.0  64.138541  ...  69.009825             68.147202
     10  1536.0  80.430545  ...  81.355034             79.526831
-    11  1664.0  63.372618  ...  63.372618             62.492442
-    12  1792.0  72.983276  ...  73.943582             59.784168
-    13  1920.0  69.467336  ...  71.626943             71.257735
-    14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.494120             85.998493
-    16  2304.0  68.446623  ...  78.064941             77.307030
-    17  2432.0  71.305746  ...  85.915795             85.653855
-    18  2560.0  77.833728  ...  82.125311             81.715711
-    19  2688.0  83.186525  ...  90.102270             89.464755
-    20  2816.0  80.767055  ...  84.687779             83.873477
-    21  2944.0  81.832567  ...  83.617504             81.967162
-    22  3072.0  81.005868  ...  88.060814             86.712254
-    23  3200.0  78.769229  ...  96.240602             95.522391
-    24  3328.0  83.419811  ...  84.695641             83.905938
-    25  3456.0  81.849303  ...  83.544315             89.183149
-    26  3584.0  87.296493  ...  98.375705             98.375705
-    27  3712.0  81.548851  ...  88.876645             87.475786
-    28  3840.0  82.654712  ...  88.828912             89.985351
-    29  3968.0  85.811488  ...  91.816356             85.212248
-    30  4096.0  93.142072  ...  88.827088             86.480498
+    11  1664.0  63.372618  ...  63.822072             62.929456
+    12  1792.0  72.983276  ...  73.460287             59.467852
+    13  1920.0  69.120002  ...  71.257735             71.257735
+    14  2048.0  73.908442  ...  78.033565             77.314362
+    15  2176.0  83.500614  ...  87.876193             85.998493
+    16  2304.0  68.251065  ...  78.064941             77.057651
+    17  2432.0  71.305746  ...  86.179335             75.320281
+    18  2560.0  78.019048  ...  82.331658             81.310171
+    19  2688.0  83.369354  ...  90.316801             89.464755
+    20  2816.0  80.026067  ...  84.687779             83.712490
+    21  2944.0  81.967162  ...  82.784108             82.102191
+    22  3072.0  82.661468  ...  89.735509             88.612060
+    23  3200.0  84.768213  ...  88.888888             95.952022
+    24  3328.0  82.748617  ...  85.602017             83.954863
+    25  3456.0  82.773682  ...  88.304015             91.200871
+    26  3584.0  87.296493  ...  98.916823             97.100854
+    27  3712.0  83.247783  ...  88.404730             87.552452
+    28  3840.0  83.465663  ...  92.661918             84.582788
+    29  3968.0  89.789505  ...  88.744681             87.159957
+    30  4096.0  93.760204  ...  89.837839             89.359338
 
     [31 rows x 5 columns]
 
@@ -499,7 +499,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 6 minutes  32.427 seconds)
+   **Total running time of the script:** ( 6 minutes  37.769 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 8c652cdd2..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  0.013 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 5ef5500e0..8841b12d6 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -41,23 +41,23 @@ Layer Normalization
     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  365.714281  512.000013
+    3    2560.0  694.237267  365.714281  518.481028
     4    3072.0  712.347810  378.092307  496.484863
     5    3584.0  725.873439  384.859062  451.527536
     6    4096.0  728.177767  381.023256  455.111095
-    7    4608.0  670.254540  394.267384  426.173427
-    8    5120.0  688.403381  397.669909  420.102563
-    9    5632.0  704.000002  395.228063  415.262685
+    7    4608.0  670.254540  394.267384  421.302872
+    8    5120.0  688.403381  397.669909  424.455959
+    9    5632.0  704.000002  395.228063  411.470331
     10   6144.0  697.191505  402.885254  409.600010
-    11   6656.0  700.631610  400.360920  400.360920
+    11   6656.0  700.631610  398.861429  400.360920
     12   7168.0  690.891575  396.844306  387.459443
     13   7680.0  678.895043  393.846167  386.415087
-    14   8192.0  636.271854  393.609605  371.308771
-    15   8704.0  624.502255  389.005597  380.502740
-    16   9216.0  604.327881  407.337026  383.999986
+    14   8192.0  639.375598  393.609605  372.363633
+    15   8704.0  627.315309  389.005597  380.502740
+    16   9216.0  606.814809  407.337026  383.999986
     17   9728.0  587.350922  409.599987  383.369452
     18  10240.0  564.965524  408.578556  382.803739
-    19  10752.0  546.133312  411.559798  381.445676
+    19  10752.0  547.872604  411.559798  381.445676
     20  11264.0  533.207081  406.826188  373.134567
     21  11776.0  520.486200  409.599991  377.587162
     22  12288.0  513.336807  413.911572  383.251457
@@ -66,8 +66,8 @@ Layer Normalization
     25  13824.0  482.934503  411.122660  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  377.801688
-    29  15872.0  447.887117  406.974373  376.225175
+    28  15360.0  454.269882  406.214870  378.092307
+    29  15872.0  446.312810  406.974373  376.783377
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  35.079 seconds)
+   **Total running time of the script:** ( 5 minutes  39.762 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 d46ee7134..4fef02825 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  0.075 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/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index aff962c19..88ed3abb2 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
 =================
-**17:09.915** total execution time for **getting-started_tutorials** files:
+**17:36.721** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:32.427 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:37.769 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:35.079 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:39.762 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:27.238 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.806 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:35.074 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.290 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.075 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.013 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.010 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 976113809..75c4a7479 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -327,7 +327,7 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   63.999998   63.999998
+3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  384.000001  384.000001
@@ -337,12 +337,12 @@ for different problem sizes.</p>
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  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  35.074 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.290 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 acaea503d..6a6923b9d 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   186.181817
+0     256.0  546.133347      546.133347   188.321838
 1     384.0  614.400016      585.142862   153.600004
 2     512.0  655.360017      606.814814   154.566038
-3     640.0  706.206879      640.000002   158.759699
+3     640.0  706.206879      640.000002   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.530610
-94  12288.0  812.429770      415.661740   198.895304
-95  12416.0  812.498981      412.149375   198.556711
-96  12544.0  810.925276      412.971190   198.716830
-97  12672.0  811.007961      412.097543   198.873965
+93  12160.0  812.359066      406.179533   199.038365
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 </ul>
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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 87c51cb0e..6db01b4a0 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
@@ -567,42 +567,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
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          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
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-11  1664.0  63.372618  ...  63.372618             62.492442
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+21  2944.0  81.967162  ...  82.784108             82.102191
+22  3072.0  82.661468  ...  89.735509             88.612060
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+24  3328.0  82.748617  ...  85.602017             83.954863
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+27  3712.0  83.247783  ...  88.404730             87.552452
+28  3840.0  83.465663  ...  92.661918             84.582788
+29  3968.0  89.789505  ...  88.744681             87.159957
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 [31 rows x 5 columns]
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diff --git a/master/getting-started/tutorials/04-low-memory-dropout.html b/master/getting-started/tutorials/04-low-memory-dropout.html
index 25e0df593..ff3f3aec8 100644
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@@ -374,7 +374,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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diff --git a/master/getting-started/tutorials/05-layer-norm.html b/master/getting-started/tutorials/05-layer-norm.html
index 89e239925..745e7f70f 100644
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diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index 2c1011b97..118324994 100644
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@@ -237,7 +237,7 @@ 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  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
@@ -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  37.033 seconds)
+   **Total running time of the script:** ( 1 minutes  42.563 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 c98971f56..f55dff8e6 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  546.133347      546.133347   190.511628
-    1     384.0  585.142862      585.142862   151.703707
-    2     512.0  655.360017      606.814814   154.566038
+    0     256.0  512.000001      546.133347   188.321838
+    1     384.0  614.400016      585.142862   153.600004
+    2     512.0  655.360017      585.142849   154.566038
     3     640.0  682.666684      640.000002   160.000000
-    4     768.0  722.823517      664.216187   162.754967
+    4     768.0  722.823517      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.755985   198.834951
-    94  12288.0  814.111783      415.661740   199.096718
-    95  12416.0  812.498981      411.296057   198.854847
-    96  12544.0  812.566838      412.971190   199.012395
-    97  12672.0  812.633240      412.097543   199.069228
+    93  12160.0  812.359066      406.603966   199.038365
+    94  12288.0  814.111783      416.101597   199.298541
+    95  12416.0  814.163950      413.006241   198.854847
+    96  12544.0  812.566838      412.971190   199.111113
+    97  12672.0  812.633240      412.516771   199.167004
 
     [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  22.710 seconds)
+   **Total running time of the script:** ( 3 minutes  22.469 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 f4fb9c21b..c76561aab 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   3.276800              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
+    0    256.0   2.730667  ...   2.978909              2.978909
+    1    384.0   7.372800  ...   8.507077              7.899428
     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  37.971025  ...  40.140799             39.025776
-    6   1024.0  51.150050  ...  52.428801             52.428801
+    5    896.0  39.025776  ...  40.140799             39.025776
+    6   1024.0  49.932191  ...  53.773130             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.888887
-    9   1408.0  64.138541  ...  67.305878             67.305878
-    10  1536.0  80.430545  ...  79.526831             79.526831
-    11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.512412             72.047592
-    13  1920.0  69.120002  ...  70.172588             70.172588
+    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  68.776119  ...  70.172588             70.530615
     14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.500614  ...  86.367588             85.632545
-    16  2304.0  68.251065  ...  76.809875             76.563695
+    15  2176.0  83.155572  ...  86.367588             85.269692
+    16  2304.0  68.446623  ...  76.809875             76.563695
     17  2432.0  71.305746  ...  74.918570             84.877538
-    18  2560.0  77.833728  ...  81.512437             80.709358
-    19  2688.0  83.369354  ...  89.888756             90.102270
-    20  2816.0  79.733474  ...  82.759409             82.602666
-    21  2944.0  81.698415  ...  82.373605             79.610276
-    22  3072.0  82.540970  ...  88.335577             88.060814
-    23  3200.0  83.660130  ...  95.238096             95.096582
-    24  3328.0  83.130825  ...  84.101981             84.596116
-    25  3456.0  79.430113  ...  84.775569             88.304015
-    26  3584.0  87.296493  ...  98.483450             92.600816
-    27  3712.0  84.946722  ...  86.267139             82.084920
-    28  3840.0  84.744825  ...  92.159996             84.162386
-    29  3968.0  92.512459  ...  83.406657             91.266964
-    30  4096.0  86.619150  ...  86.064590             90.443212
+    18  2560.0  77.833728  ...  81.310171             81.108913
+    19  2688.0  83.552988  ...  90.102270             88.732296
+    20  2816.0  82.602666  ...  83.712490             82.759409
+    21  2944.0  81.967162  ...  82.578347             82.646820
+    22  3072.0  82.062468  ...  87.651868             86.579673
+    23  3200.0  84.544253  ...  89.887639             94.674553
+    24  3328.0  83.226931  ...  81.346098             83.710812
+    25  3456.0  82.688790  ...  90.180725             91.097818
+    26  3584.0  85.430303  ...  92.505546             97.522120
+    27  3712.0  85.528545  ...  85.672957             87.552452
+    28  3840.0  84.292684  ...  87.148936             91.022218
+    29  3968.0  86.973584  ...  90.656713             84.856701
+    30  4096.0  93.531519  ...  83.416859             87.267706
 
     [31 rows x 5 columns]
 
@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  23.067 seconds)
+   **Total running time of the script:** ( 5 minutes  27.557 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index 5a1f9b31a..4683e306e 100644
--- a/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -238,7 +238,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.012 seconds)
+   **Total running time of the script:** ( 0 minutes  0.010 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index e7491137b..cccbc609c 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   97.912354  303.407414
-    1    1536.0  351.085717  135.032961  341.333333
-    2    2048.0  427.408686  161.154101  329.879196
-    3    2560.0  465.454542  181.238943  332.108113
-    4    3072.0  519.211251  192.501302  321.956335
-    5    3584.0  554.941930  208.776702  311.652167
-    6    4096.0  571.534884  220.412561  299.707322
-    7    4608.0  500.416301  233.316456  286.507772
-    8    5120.0  527.381977  241.889751  282.482762
-    9    5632.0  542.843364  243.107920  291.310338
-    10   6144.0  544.118087  249.081070  286.879370
-    11   6656.0  528.953642  256.000009  286.279570
-    12   7168.0  508.970395  259.867079  285.767449
-    13   7680.0  483.779539  263.314295  279.272719
-    14   8192.0  461.521112  267.493874  284.939124
-    15   8704.0  416.127506  267.815384  285.377055
-    16   9216.0  431.157889  271.724806  289.129410
-    17   9728.0  438.033784  280.615388  289.308559
-    18  10240.0  447.650282  286.767793  290.153487
-    19  10752.0  430.797982  246.699797  290.267711
-    20  11264.0  429.104745  245.760001  287.285864
-    21  11776.0  423.089806  249.667843  288.981596
-    22  12288.0  418.909088  254.673582  294.911986
-    23  12800.0  415.696898  253.256381  289.538159
-    24  13312.0  412.242569  252.759501  290.707920
-    25  13824.0  405.594132  257.190689  292.313649
-    26  14336.0  398.683664  254.485198  286.959121
-    27  14848.0  385.245405  257.479779  289.717061
-    28  15360.0  376.547496  258.151252  287.326580
-    29  15872.0  368.402336  261.986243  289.899545
+    0    1024.0  311.088617   99.497980  307.200008
+    1    1536.0  351.085717  135.032961  344.523365
+    2    2048.0  427.408686  159.584422  323.368435
+    3    2560.0  461.954908  182.857144  326.808501
+    4    3072.0  515.580429  192.501302  316.429186
+    5    3584.0  554.941930  208.271186  308.301075
+    6    4096.0  568.231237  219.919464  297.890900
+    7    4608.0  500.416301  233.316456  291.031570
+    8    5120.0  527.381977  240.941184  285.104413
+    9    5632.0  538.517949  243.985547  289.438969
+    10   6144.0  546.133354  249.081070  286.322318
+    11   6656.0  525.473708  256.000009  285.767438
+    12   7168.0  512.000004  259.475119  284.821192
+    13   7680.0  485.052616  263.690977  277.172933
+    14   8192.0  463.698115  266.406514  284.939124
+    15   8704.0  417.791980  267.472468  285.767450
+    16   9216.0  431.157889  272.059034  289.507855
+    17   9728.0  439.683593  280.278512  290.027323
+    18  10240.0  446.836366  287.102804  290.496460
+    19  10752.0  430.797982  246.229020  290.594591
+    20  11264.0  429.786952  246.882202  288.204696
+    21  11776.0  422.457417  248.788725  287.804473
+    22  12288.0  420.701865  254.453844  294.029924
+    23  12800.0  416.260178  253.256381  287.910035
+    24  13312.0  411.711355  252.161013  289.916513
+    25  13824.0  406.588243  256.991469  292.313649
+    26  14336.0  396.387109  254.673567  287.919661
+    27  14848.0  383.380322  257.479779  289.246765
+    28  15360.0  376.547496  258.332158  286.656296
+    29  15872.0  366.982663  262.527914  290.562936
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  9.504 seconds)
+   **Total running time of the script:** ( 2 minutes  11.866 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 7194584eb..059107f1a 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
 =================
-**12:32.325** total execution time for **getting-started_tutorials** files:
+**12:44.465** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:23.067 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:27.557 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.710 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.469 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:09.504 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.866 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:37.033 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:42.563 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.010 | 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 33288ae65..82c1c39f6 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -327,7 +327,7 @@ 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  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
@@ -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  37.033 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  42.563 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 e57acbddb..d0ee98945 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  546.133347      546.133347   190.511628
-1     384.0  585.142862      585.142862   151.703707
-2     512.0  655.360017      606.814814   154.566038
+0     256.0  512.000001      546.133347   188.321838
+1     384.0  614.400016      585.142862   153.600004
+2     512.0  655.360017      585.142849   154.566038
 3     640.0  682.666684      640.000002   160.000000
-4     768.0  722.823517      664.216187   162.754967
+4     768.0  722.823517      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.755985   198.834951
-94  12288.0  814.111783      415.661740   199.096718
-95  12416.0  812.498981      411.296057   198.854847
-96  12544.0  812.566838      412.971190   199.012395
-97  12672.0  812.633240      412.097543   199.069228
+93  12160.0  812.359066      406.603966   199.038365
+94  12288.0  814.111783      416.101597   199.298541
+95  12416.0  814.163950      413.006241   198.854847
+96  12544.0  812.566838      412.971190   199.111113
+97  12672.0  812.633240      412.516771   199.167004
 
 [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  22.710 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.469 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 0b5e1249b..88728bf24 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)
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-1    384.0   7.372800  ...   8.507077              8.507077
+0    256.0   2.730667  ...   2.978909              2.978909
+1    384.0   7.372800  ...   8.507077              7.899428
 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  37.971025  ...  40.140799             39.025776
-6   1024.0  51.150050  ...  52.428801             52.428801
+5    896.0  39.025776  ...  40.140799             39.025776
+6   1024.0  49.932191  ...  53.773130             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
-8   1280.0  51.200001  ...  56.888887             56.888887
-9   1408.0  64.138541  ...  67.305878             67.305878
-10  1536.0  80.430545  ...  79.526831             79.526831
-11  1664.0  63.372618  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  72.512412             72.047592
-13  1920.0  69.120002  ...  70.172588             70.172588
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+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  68.776119  ...  70.172588             70.530615
 14  2048.0  73.908442  ...  77.314362             76.959706
-15  2176.0  83.500614  ...  86.367588             85.632545
-16  2304.0  68.251065  ...  76.809875             76.563695
+15  2176.0  83.155572  ...  86.367588             85.269692
+16  2304.0  68.446623  ...  76.809875             76.563695
 17  2432.0  71.305746  ...  74.918570             84.877538
-18  2560.0  77.833728  ...  81.512437             80.709358
-19  2688.0  83.369354  ...  89.888756             90.102270
-20  2816.0  79.733474  ...  82.759409             82.602666
-21  2944.0  81.698415  ...  82.373605             79.610276
-22  3072.0  82.540970  ...  88.335577             88.060814
-23  3200.0  83.660130  ...  95.238096             95.096582
-24  3328.0  83.130825  ...  84.101981             84.596116
-25  3456.0  79.430113  ...  84.775569             88.304015
-26  3584.0  87.296493  ...  98.483450             92.600816
-27  3712.0  84.946722  ...  86.267139             82.084920
-28  3840.0  84.744825  ...  92.159996             84.162386
-29  3968.0  92.512459  ...  83.406657             91.266964
-30  4096.0  86.619150  ...  86.064590             90.443212
+18  2560.0  77.833728  ...  81.310171             81.108913
+19  2688.0  83.552988  ...  90.102270             88.732296
+20  2816.0  82.602666  ...  83.712490             82.759409
+21  2944.0  81.967162  ...  82.578347             82.646820
+22  3072.0  82.062468  ...  87.651868             86.579673
+23  3200.0  84.544253  ...  89.887639             94.674553
+24  3328.0  83.226931  ...  81.346098             83.710812
+25  3456.0  82.688790  ...  90.180725             91.097818
+26  3584.0  85.430303  ...  92.505546             97.522120
+27  3712.0  85.528545  ...  85.672957             87.552452
+28  3840.0  84.292684  ...  87.148936             91.022218
+29  3968.0  86.973584  ...  90.656713             84.856701
+30  4096.0  93.531519  ...  83.416859             87.267706
 
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-9    5632.0  542.843364  243.107920  291.310338
-10   6144.0  544.118087  249.081070  286.879370
-11   6656.0  528.953642  256.000009  286.279570
-12   7168.0  508.970395  259.867079  285.767449
-13   7680.0  483.779539  263.314295  279.272719
-14   8192.0  461.521112  267.493874  284.939124
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-26  14336.0  398.683664  254.485198  286.959121
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-28  15360.0  376.547496  258.151252  287.326580
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+3    2560.0  461.954908  182.857144  326.808501
+4    3072.0  515.580429  192.501302  316.429186
+5    3584.0  554.941930  208.271186  308.301075
+6    4096.0  568.231237  219.919464  297.890900
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+8    5120.0  527.381977  240.941184  285.104413
+9    5632.0  538.517949  243.985547  289.438969
+10   6144.0  546.133354  249.081070  286.322318
+11   6656.0  525.473708  256.000009  285.767438
+12   7168.0  512.000004  259.475119  284.821192
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+14   8192.0  463.698115  266.406514  284.939124
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+16   9216.0  431.157889  272.059034  289.507855
+17   9728.0  439.683593  280.278512  290.027323
+18  10240.0  446.836366  287.102804  290.496460
+19  10752.0  430.797982  246.229020  290.594591
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+22  12288.0  420.701865  254.453844  294.029924
+23  12800.0  416.260178  253.256381  287.910035
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+25  13824.0  406.588243  256.991469  292.313649
+26  14336.0  396.387109  254.673567  287.919661
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+28  15360.0  376.547496  258.332158  286.656296
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