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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
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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 5dd71bca7..57cc25d89 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 439d7386f..3dc363af9 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 1abd28af3..edca8ef6b 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 f27918f43..350f57c99 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 10603b84e..6e7e9bfd4 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 456f53f09..adc224a0c 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -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:** ( 2 minutes  39.483 seconds)
+   **Total running time of the script:** ( 1 minutes  41.961 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 efef675d7..9e58d7125 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,16 +278,16 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  546.133347      546.133347   190.511628
+    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   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.631953
-    94  12288.0  812.429770      415.222812   198.895304
-    95  12416.0  812.498981      412.149375   198.556711
-    96  12544.0  810.925276      412.546756   198.815254
+    93  12160.0  812.359066      406.179533   198.530610
+    94  12288.0  812.429770      415.661740   198.895304
+    95  12416.0  812.498981      412.149375   198.457532
+    96  12544.0  812.566838      412.546756   198.766042
     97  12672.0  811.007961      412.097543   198.873965
 
     [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  31.979 seconds)
+   **Total running time of the script:** ( 3 minutes  30.330 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 4261221d0..1e3cb1134 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -466,30 +466,30 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     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
+    7   1152.0  45.242181  ...  47.396572             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
-    9   1408.0  64.138541  ...  69.009825             68.147202
+    9   1408.0  64.138541  ...  68.147202             67.305878
     10  1536.0  80.430545  ...  81.355034             79.526831
-    11  1664.0  63.372618  ...  63.372618             62.492442
+    11  1664.0  62.929456  ...  63.372618             62.492442
     12  1792.0  72.512412  ...  73.460287             59.467852
-    13  1920.0  69.120002  ...  71.626943             71.257735
+    13  1920.0  69.120002  ...  71.626943             71.626943
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.155572  ...  87.494120             85.998493
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-    17  2432.0  71.305746  ...  86.711310             75.320281
-    18  2560.0  77.833728  ...  82.331658             81.108913
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-    22  3072.0  81.825298  ...  89.593522             88.750943
-    23  3200.0  84.993363  ...  96.822991             95.808380
-    24  3328.0  83.130825  ...  84.596116             84.200347
-    25  3456.0  81.518272  ...  91.407671             90.943675
-    26  3584.0  85.797134  ...  91.470385             91.470385
-    27  3712.0  84.088676  ...  89.273764             83.247783
-    28  3840.0  85.005380  ...  92.006659             85.763472
-    29  3968.0  85.809605  ...  92.232760             86.175099
-    30  4096.0  93.433852  ...  85.871008             92.245860
+    15  2176.0  83.500614  ...  87.876193             86.367588
+    16  2304.0  68.643310  ...  78.064941             77.307030
+    17  2432.0  71.305746  ...  84.621881             84.115159
+    18  2560.0  78.019048  ...  82.331658             81.715711
+    19  2688.0  83.369354  ...  90.102270             89.888756
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+    21  2944.0  82.034625  ...  83.060049             82.784108
+    22  3072.0  82.062468  ...  87.112467             88.890270
+    23  3200.0  84.768213  ...  96.676741             95.522391
+    24  3328.0  83.130825  ...  85.297742             84.298943
+    25  3456.0  79.430113  ...  91.928814             90.790053
+    26  3584.0  85.633710  ...  90.275083             94.697621
+    27  3712.0  85.822459  ...  81.414891             86.716441
+    28  3840.0  81.019778  ...  87.217666             90.500819
+    29  3968.0  85.869991  ...  92.024087             84.039426
+    30  4096.0  93.336389  ...  84.254693             89.777746
 
     [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  36.303 seconds)
+   **Total running time of the script:** ( 6 minutes  31.595 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 a6cee36dd..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  0.164 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 dab7083a6..70eb6768c 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -41,33 +41,33 @@ Layer Normalization
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     1    1536.0  630.153868  323.368435  511.999982
     2    2048.0  682.666643  334.367358  520.126988
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+    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  455.111115
+    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  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  411.313806
-    11   6656.0  700.631610  400.360920  398.861429
+    7    4608.0  670.254540  394.267384  426.173427
+    8    5120.0  688.403381  397.669909  422.268057
+    9    5632.0  704.000002  396.969169  415.262685
+    10   6144.0  697.191505  402.885254  409.600010
+    11   6656.0  705.271522  400.360920  400.360920
     12   7168.0  690.891575  396.844306  387.459443
-    13   7680.0  678.895043  393.846167  386.415087
-    14   8192.0  639.375598  393.609605  372.363633
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-    16   9216.0  604.327881  407.337026  383.002605
-    17   9728.0  585.142883  409.599987  383.369452
-    18  10240.0  564.965524  408.578556  382.803739
-    19  10752.0  546.133312  411.559798  381.445676
+    13   7680.0  678.895043  393.846167  387.634072
+    14   8192.0  636.271854  393.609605  371.308771
+    15   8704.0  627.315309  389.005597  380.502740
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+    17   9728.0  587.350922  409.599987  383.369452
+    18  10240.0  564.965524  409.600010  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  516.031509  413.911572  383.251457
+    22  12288.0  514.680630  414.784810  383.251457
     23  12800.0  504.433489  410.420828  376.470582
     24  13312.0  494.180982  405.699062  376.976995
     25  13824.0  482.934503  411.888257  379.389355
     26  14336.0  471.967074  406.695045  374.185964
     27  14848.0  461.297068  408.192434  375.304904
     28  15360.0  454.269882  406.214870  378.092307
-    29  15872.0  447.098578  406.974373  376.225175
+    29  15872.0  447.887117  406.974373  376.783377
 
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  37.477 seconds)
+   **Total running time of the script:** ( 5 minutes  30.987 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 34b5a9ce3..d70524244 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  0.367 seconds)
+   **Total running time of the script:** ( 0 minutes  0.077 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 d21e86ac5..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  0.128 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 95c002da6..c1fc05a83 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
 =================
-**18:25.900** total execution time for **getting-started_tutorials** files:
+**17:14.972** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:36.303 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:31.595 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:37.477 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:30.987 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:31.979 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.330 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 02:39.483 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.961 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.367 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.077 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.164 | 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``)       | 00:00.128 | 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 f2a34f152..b7000e8c6 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -342,7 +342,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  39.483 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.961 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 763811ea9..fab9bd53e 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,16 +371,16 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  546.133347      546.133347   190.511628
+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   160.000000
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.631953
-94  12288.0  812.429770      415.222812   198.895304
-95  12416.0  812.498981      412.149375   198.556711
-96  12544.0  810.925276      412.546756   198.815254
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+95  12416.0  812.498981      412.149375   198.457532
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 [98 rows x 4 columns]
@@ -394,7 +394,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  31.979 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  30.330 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/master/getting-started/tutorials/03-matrix-multiplication.html b/master/getting-started/tutorials/03-matrix-multiplication.html
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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 2b2c81a43..86ff78c45 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 ebaa047d7..43d2f0cc9 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 772766bdf..7ed1988fc 100644
--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -233,11 +233,11 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   38.400001
-    3       32768.0   63.999998   63.999998
+    2       16384.0   31.999999   31.999999
+    3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  384.000001
+    6      262144.0  384.000001  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
@@ -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  39.973 seconds)
+   **Total running time of the script:** ( 1 minutes  41.626 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 cc34144ef..e9992b1de 100644
--- a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   190.511628
+    0     256.0  512.000001      546.133347   188.321838
     1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      606.814814   154.566038
     3     640.0  682.666684      640.000002   160.000000
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
     93  12160.0  814.058574      406.179533   198.936606
-    94  12288.0  814.111783      415.661740   199.197579
-    95  12416.0  812.498981      412.149375   198.755369
-    96  12544.0  812.566838      412.971190   199.111113
-    97  12672.0  812.633240      412.097543   199.167004
+    94  12288.0  814.111783      415.222812   199.298541
+    95  12416.0  812.498981      412.149375   198.854847
+    96  12544.0  812.566838      412.971190   199.209928
+    97  12672.0  812.633240      412.097543   199.264875
 
     [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  23.191 seconds)
+   **Total running time of the script:** ( 3 minutes  22.324 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 1cb14dc2c..316cf7ffb 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   2.978909  ...   3.276800              3.276800
-    1    384.0   7.372800  ...   8.507077              8.507077
+    0    256.0   2.730667  ...   3.276800              2.978909
+    1    384.0   7.372800  ...   8.507077              7.899428
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  32.768000  ...  34.028308             34.028308
+    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             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.888887
+    7   1152.0  44.566925  ...  46.656000             46.656000
+    8   1280.0  51.200001  ...  56.888887             56.109587
     9   1408.0  64.138541  ...  67.305878             66.485074
     10  1536.0  80.430545  ...  79.526831             78.643199
     11  1664.0  62.929456  ...  62.061463             62.061463
-    12  1792.0  72.512412  ...  62.441243             62.441243
+    12  1792.0  72.512412  ...  71.588687             71.588687
     13  1920.0  69.120002  ...  70.530615             70.530615
     14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.155572  ...  86.367588             85.632545
-    16  2304.0  68.251065  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  74.918570             84.877538
-    18  2560.0  78.019048  ...  81.512437             80.511054
-    19  2688.0  83.737433  ...  90.316801             88.422041
-    20  2816.0  79.443003  ...  82.916747             83.392363
-    21  2944.0  82.237674  ...  82.373605             83.060049
-    22  3072.0  82.661468  ...  87.924073             87.584078
-    23  3200.0  84.432717  ...  95.238096             94.955488
-    24  3328.0  82.843841  ...  85.196803             85.602017
-    25  3456.0  78.502012  ...  85.133652             89.779026
-    26  3584.0  87.211821  ...  90.364394             97.522120
-    27  3712.0  86.192706  ...  86.754095             87.246590
-    28  3840.0  83.245767  ...  92.236860             84.036474
-    29  3968.0  92.512459  ...  83.866153             90.859224
-    30  4096.0  87.438257  ...  84.679957             90.169784
+    15  2176.0  83.500614  ...  85.632545             85.632545
+    16  2304.0  68.251065  ...  76.809875             76.809875
+    17  2432.0  71.305746  ...  74.918570             84.115159
+    18  2560.0  78.019048  ...  81.512437             80.709358
+    19  2688.0  83.922689  ...  89.888756             89.464755
+    20  2816.0  79.154642  ...  82.602666             82.602666
+    21  2944.0  80.510553  ...  82.305584             81.967162
+    22  3072.0  81.943708  ...  88.542777             88.197981
+    23  3200.0  84.432717  ...  95.167286             95.309011
+    24  3328.0  83.323259  ...  84.695641             84.496824
+    25  3456.0  80.986004  ...  87.632137             90.180725
+    26  3584.0  87.127323  ...  94.548254             90.095580
+    27  3712.0  84.017953  ...  86.528661             85.822459
+    28  3840.0  84.679936  ...  91.322872             88.615388
+    29  3968.0  92.864488  ...  81.025193             80.971427
+    30  4096.0  92.500158  ...  85.325956             84.254693
 
     [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  52.358 seconds)
+   **Total running time of the script:** ( 5 minutes  7.140 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 2f273e6fa..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  0.187 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 311adc020..c32d65ffa 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
@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     0    1024.0  311.088617   99.497980  311.088617
     1    1536.0  351.085717  133.083026  341.333333
-    2    2048.0  423.724127  162.217818  336.657521
-    3    2560.0  461.954908  182.857144  330.322572
-    4    3072.0  515.580429  191.501303  320.556515
-    5    3584.0  554.941930  208.271186  309.410081
-    6    4096.0  568.231237  220.412561  297.890900
-    7    4608.0  498.162157  231.849059  287.251954
-    8    5120.0  525.128191  242.845844  283.787523
+    2    2048.0  423.724127  162.217818  327.679984
+    3    2560.0  461.954908  182.857144  326.808501
+    4    3072.0  511.999982  191.501303  317.793096
+    5    3584.0  554.941930  208.271186  308.301075
+    6    4096.0  568.231237  220.412561  294.323343
+    7    4608.0  498.162157  231.849059  291.031570
+    8    5120.0  525.128191  242.845844  287.102804
     9    5632.0  538.517949  243.545956  290.683877
     10   6144.0  544.118087  248.661056  285.767458
-    11   6656.0  527.207907  256.000009  286.793541
-    12   7168.0  507.469040  261.844750  288.644296
+    11   6656.0  527.207907  256.410903  286.793541
+    12   7168.0  507.469040  262.243907  288.644296
     13   7680.0  482.513091  260.707203  277.590365
     14   8192.0  460.440290  269.326017  286.600589
-    15   8704.0  416.958106  268.159180  285.182257
+    15   8704.0  416.958106  267.815384  284.987724
     16   9216.0  428.651187  273.066667  289.507855
-    17   9728.0  438.857162  280.615388  288.950501
-    18  10240.0  447.650282  286.767793  290.840246
-    19  10752.0  430.079980  246.699797  290.267711
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-    21  11776.0  421.826879  249.667843  288.686414
-    22  12288.0  420.102570  254.673582  295.207195
-    23  12800.0  415.696898  253.674644  288.721817
-    24  13312.0  412.242569  252.559690  290.179836
-    25  13824.0  405.098897  257.390218  292.571423
-    26  14336.0  397.761846  254.673567  286.481278
+    17   9728.0  439.683593  280.615388  288.950501
+    18  10240.0  447.650282  286.767793  289.811322
+    19  10752.0  430.079980  246.464170  290.267711
+    20  11264.0  429.104745  245.091565  285.767446
+    21  11776.0  421.826879  249.447482  288.686414
+    22  12288.0  420.102570  254.453844  295.207195
+    23  12800.0  415.696898  253.674644  288.450715
+    24  13312.0  412.242569  252.759501  290.179836
+    25  13824.0  405.594132  257.390218  292.571423
+    26  14336.0  397.761846  254.862216  286.481278
     27  14848.0  384.414233  257.293872  289.246765
-    28  15360.0  374.253788  257.790220  287.775181
-    29  15872.0  367.336555  262.890274  291.229369
+    28  15360.0  374.253788  257.790220  286.433562
+    29  15872.0  366.982663  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  11.823 seconds)
+   **Total running time of the script:** ( 2 minutes  12.370 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 3fd847138..ad6ea098e 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
 =================
-**13:07.532** total execution time for **getting-started_tutorials** files:
+**12:23.470** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:52.358 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:07.140 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.191 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.324 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.823 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.370 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:39.973 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.626 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.187 | 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 04546671a..af3cc813e 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,11 +323,11 @@ for different problem sizes.</p>
            size      Triton       Torch
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-2       16384.0   38.400001   38.400001
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 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  384.000001
+6      262144.0  384.000001  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
@@ -339,7 +339,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.626 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 59b37c56e..a0a4b052d 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   190.511628
+0     256.0  512.000001      546.133347   188.321838
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 2     512.0  655.360017      606.814814   154.566038
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 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
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-95  12416.0  812.498981      412.149375   198.755369
-96  12544.0  812.566838      412.971190   199.111113
-97  12672.0  812.633240      412.097543   199.167004
+94  12288.0  814.111783      415.222812   199.298541
+95  12416.0  812.498981      412.149375   198.854847
+96  12544.0  812.566838      412.971190   199.209928
+97  12672.0  812.633240      412.097543   199.264875
 
 [98 rows x 4 columns]
 </pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
 Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.191 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.324 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 908b0e59d..74154223e 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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 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             46.656000
-8   1280.0  51.200001  ...  56.888887             56.888887
+7   1152.0  44.566925  ...  46.656000             46.656000
+8   1280.0  51.200001  ...  56.888887             56.109587
 9   1408.0  64.138541  ...  67.305878             66.485074
 10  1536.0  80.430545  ...  79.526831             78.643199
 11  1664.0  62.929456  ...  62.061463             62.061463
-12  1792.0  72.512412  ...  62.441243             62.441243
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 13  1920.0  69.120002  ...  70.530615             70.530615
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-15  2176.0  83.155572  ...  86.367588             85.632545
-16  2304.0  68.251065  ...  76.809875             76.563695
-17  2432.0  71.305746  ...  74.918570             84.877538
-18  2560.0  78.019048  ...  81.512437             80.511054
-19  2688.0  83.737433  ...  90.316801             88.422041
-20  2816.0  79.443003  ...  82.916747             83.392363
-21  2944.0  82.237674  ...  82.373605             83.060049
-22  3072.0  82.661468  ...  87.924073             87.584078
-23  3200.0  84.432717  ...  95.238096             94.955488
-24  3328.0  82.843841  ...  85.196803             85.602017
-25  3456.0  78.502012  ...  85.133652             89.779026
-26  3584.0  87.211821  ...  90.364394             97.522120
-27  3712.0  86.192706  ...  86.754095             87.246590
-28  3840.0  83.245767  ...  92.236860             84.036474
-29  3968.0  92.512459  ...  83.866153             90.859224
-30  4096.0  87.438257  ...  84.679957             90.169784
+15  2176.0  83.500614  ...  85.632545             85.632545
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+17  2432.0  71.305746  ...  74.918570             84.115159
+18  2560.0  78.019048  ...  81.512437             80.709358
+19  2688.0  83.922689  ...  89.888756             89.464755
+20  2816.0  79.154642  ...  82.602666             82.602666
+21  2944.0  80.510553  ...  82.305584             81.967162
+22  3072.0  81.943708  ...  88.542777             88.197981
+23  3200.0  84.432717  ...  95.167286             95.309011
+24  3328.0  83.323259  ...  84.695641             84.496824
+25  3456.0  80.986004  ...  87.632137             90.180725
+26  3584.0  87.127323  ...  94.548254             90.095580
+27  3712.0  84.017953  ...  86.528661             85.822459
+28  3840.0  84.679936  ...  91.322872             88.615388
+29  3968.0  92.864488  ...  81.025193             80.971427
+30  4096.0  92.500158  ...  85.325956             84.254693
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  52.358 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  7.140 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
index c34cbb50a..12b20c2ba 100644
--- a/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
+++ b/v1.1.2/getting-started/tutorials/04-low-memory-dropout.html
@@ -371,7 +371,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
 </dd>
 </dl>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.010 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">04-low-memory-dropout.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index e4479231f..72d62d308 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -196,34 +196,34 @@ to download the full example code</p>
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+7    4608.0  498.162157  231.849059  291.031570
+8    5120.0  525.128191  242.845844  287.102804
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 16   9216.0  428.651187  273.066667  289.507855
-17   9728.0  438.857162  280.615388  288.950501
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