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index e04f8920e..f903a7f39 100644
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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 030a0d4e3..7bdd9bceb 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 2c62c2639..b9377a826 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 260021c0a..b681cefaf 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 b636f0ad5..6e404c1b2 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 bffbb7c04..c28e8ddd1 100644
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diff --git a/master/_images/sphx_glr_05-layer-norm_thumb.png b/master/_images/sphx_glr_05-layer-norm_thumb.png
index 14402fa86..f1b480883 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 bfd0cb3a3..780fa4d60 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,14 +234,14 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   31.999999   31.999999
+    2       16384.0   38.400001   38.400001
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  341.333321
+    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  702.171410
+    9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
@@ -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  38.087 seconds)
+   **Total running time of the script:** ( 1 minutes  46.215 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 2b764d1ee..5a5947c78 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  512.000001      512.000001   190.511628
-    1     384.0  614.400016      558.545450   153.600004
+    0     256.0  512.000001      512.000001   186.181817
+    1     384.0  614.400016      585.142862   153.600004
     2     512.0  655.360017      585.142849   154.566038
-    3     640.0  706.206879      640.000002   160.000000
+    3     640.0  706.206879      640.000002   158.759699
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   199.038365
-    94  12288.0  812.429770      415.222812   199.298541
-    95  12416.0  812.498981      412.149375   198.954424
-    96  12544.0  810.925276      412.546756   199.209928
-    97  12672.0  811.007961      412.097543   199.264875
+    93  12160.0  812.359066      406.179533   198.733401
+    94  12288.0  812.429770      415.222812   199.096718
+    95  12416.0  812.498981      412.149375   198.655991
+    96  12544.0  810.925276      412.758863   198.913776
+    97  12672.0  811.007961      411.679167   198.971549
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  26.158 seconds)
+   **Total running time of the script:** ( 3 minutes  32.284 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 4ca243d7c..a8ce0152a 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  15.420235             15.420235
+    0    256.0   2.730667  ...   2.978909              2.978909
+    1    384.0   7.372800  ...   7.899428              8.507077
+    2    512.0  14.563555  ...  16.384000             15.420235
     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  49.932191  ...  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  ...  68.147202             67.305878
-    10  1536.0  80.430545  ...  81.355034             79.526831
+    10  1536.0  80.430545  ...  81.355034             78.643199
     11  1664.0  63.372618  ...  63.372618             62.492442
     12  1792.0  72.983276  ...  73.460287             59.467852
-    13  1920.0  68.776119  ...  71.257735             70.892307
-    14  2048.0  73.584279  ...  78.033565             76.959706
+    13  1920.0  69.467336  ...  70.892307             71.257735
+    14  2048.0  73.584279  ...  78.033565             77.314362
     15  2176.0  83.155572  ...  87.494120             85.998493
-    16  2304.0  68.446623  ...  78.320893             77.558029
-    17  2432.0  71.305746  ...  86.711310             75.320281
+    16  2304.0  68.251065  ...  78.064941             77.307030
+    17  2432.0  71.125224  ...  86.444504             85.653855
     18  2560.0  77.833728  ...  82.747477             81.715711
-    19  2688.0  83.552988  ...  90.532356             89.676257
-    20  2816.0  83.552120  ...  84.035084             83.392363
-    21  2944.0  81.832567  ...  83.758038             81.967162
-    22  3072.0  82.540970  ...  89.877939             89.170242
-    23  3200.0  84.321474  ...  96.822991             95.380032
-    24  3328.0  83.034941  ...  85.806075             84.596116
-    25  3456.0  82.183044  ...  91.928814             87.632137
-    26  3584.0  87.381330  ...  92.696281             96.891584
-    27  3712.0  84.694652  ...  87.244203             88.092894
-    28  3840.0  85.136259  ...  88.900318             90.279183
-    29  3968.0  88.008611  ...  92.547541             84.268854
-    30  4096.0  93.368854  ...  87.781379             86.592080
+    19  2688.0  83.737433  ...  90.748936             89.044730
+    20  2816.0  79.587973  ...  84.852542             84.197315
+    21  2944.0  81.967162  ...  83.758038             82.102191
+    22  3072.0  81.825298  ...  89.877939             88.473602
+    23  3200.0  84.656085  ...  96.822991             95.522391
+    24  3328.0  83.034941  ...  86.320498             82.891535
+    25  3456.0  81.026701  ...  82.350937             87.442050
+    26  3584.0  87.296493  ...  99.574077             98.699661
+    27  3712.0  84.088676  ...  89.513749             87.860458
+    28  3840.0  81.019778  ...  89.766237             90.352941
+    29  3968.0  85.992909  ...  92.723355             84.300694
+    30  4096.0  93.990003  ...  88.127204             87.495257
 
     [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  21.318 seconds)
+   **Total running time of the script:** ( 6 minutes  39.020 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 edbf188ee..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  0.279 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 b24ab5b49..c99edf896 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -44,29 +44,29 @@ Layer Normalization
     3    2560.0  694.237267  362.477870  512.000013
     4    3072.0  712.347810  375.206126  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  421.302872
-    8    5120.0  688.403381  397.669909  424.455959
-    9    5632.0  698.542675  395.228063  411.470331
+    6    4096.0  720.175811  381.023256  455.111095
+    7    4608.0  670.254540  394.267384  426.173427
+    8    5120.0  688.403381  397.669909  420.102563
+    9    5632.0  704.000002  395.228063  415.262685
     10   6144.0  697.191505  402.885254  409.600010
-    11   6656.0  700.631610  398.861429  398.861429
-    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
+    11   6656.0  700.631610  398.861429  400.360920
+    12   7168.0  690.891575  396.844306  386.154893
+    13   7680.0  678.895043  392.587863  386.415087
+    14   8192.0  633.198054  393.609605  371.308771
     15   8704.0  624.502255  389.005597  380.502740
     16   9216.0  604.327881  407.337026  383.002605
     17   9728.0  585.142883  409.599987  382.427505
-    18  10240.0  564.965524  408.578556  381.911416
+    18  10240.0  564.965524  408.578556  382.803739
     19  10752.0  546.133312  411.559798  381.445676
-    20  11264.0  531.634232  406.826188  373.134567
+    20  11264.0  533.207081  406.826188  373.134567
     21  11776.0  520.486200  409.599991  377.587162
-    22  12288.0  514.680630  413.911572  383.251457
+    22  12288.0  516.031509  413.911572  383.251457
     23  12800.0  504.433489  410.420828  376.470582
     24  13312.0  494.180982  405.699062  376.310952
-    25  13824.0  481.882350  411.122660  379.389355
-    26  14336.0  470.997935  406.695045  374.185964
+    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  377.511515
+    28  15360.0  454.269882  406.214870  378.092307
     29  15872.0  447.887117  406.974373  376.225175
 
 
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  33.112 seconds)
+   **Total running time of the script:** ( 5 minutes  39.388 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 4fef02825..b1397b3d3 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  0.072 seconds)
+   **Total running time of the script:** ( 0 minutes  0.073 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 3c939bd8b..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  0.257 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 a336bb554..2818870df 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
 =================
-**16:59.282** total execution time for **getting-started_tutorials** files:
+**17:37.003** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:21.318 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:39.020 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:33.112 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:39.388 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:26.158 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:32.284 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:38.087 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:46.215 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.279 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.073 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.257 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 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 80ae794e2..42110c0d2 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -326,14 +326,14 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   31.999999   31.999999
+2       16384.0   38.400001   38.400001
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  341.333321
+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  702.171410
+9     2097152.0  722.823517  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
@@ -342,7 +342,7 @@ for different problem sizes.</p>
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.087 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  46.215 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 7b91c5e87..28ff64bdb 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>
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 ..      ...         ...             ...          ...
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+95  12416.0  812.498981      412.149375   198.655991
+96  12544.0  810.925276      412.758863   198.913776
+97  12672.0  811.007961      411.679167   198.971549
 
 [98 rows x 4 columns]
 </pre></div>
@@ -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>
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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 9ff34b54f..a74b1af9a 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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-7   1152.0  45.242181  ...  48.161033             47.396572
+7   1152.0  45.242181  ...  47.396572             47.396572
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-21  2944.0  81.832567  ...  83.758038             81.967162
-22  3072.0  82.540970  ...  89.877939             89.170242
-23  3200.0  84.321474  ...  96.822991             95.380032
-24  3328.0  83.034941  ...  85.806075             84.596116
-25  3456.0  82.183044  ...  91.928814             87.632137
-26  3584.0  87.381330  ...  92.696281             96.891584
-27  3712.0  84.694652  ...  87.244203             88.092894
-28  3840.0  85.136259  ...  88.900318             90.279183
-29  3968.0  88.008611  ...  92.547541             84.268854
-30  4096.0  93.368854  ...  87.781379             86.592080
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+21  2944.0  81.967162  ...  83.758038             82.102191
+22  3072.0  81.825298  ...  89.877939             88.473602
+23  3200.0  84.656085  ...  96.822991             95.522391
+24  3328.0  83.034941  ...  86.320498             82.891535
+25  3456.0  81.026701  ...  82.350937             87.442050
+26  3584.0  87.296493  ...  99.574077             98.699661
+27  3712.0  84.088676  ...  89.513749             87.860458
+28  3840.0  81.019778  ...  89.766237             90.352941
+29  3968.0  85.992909  ...  92.723355             84.300694
+30  4096.0  93.990003  ...  88.127204             87.495257
 
 [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 4d3b4cd90..ff3f3aec8 100644
--- a/master/getting-started/tutorials/04-low-memory-dropout.html
+++ b/master/getting-started/tutorials/04-low-memory-dropout.html
@@ -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
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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 118324994..b3b671026 100644
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--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -234,17 +234,17 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
     2       16384.0   38.400001   38.400001
-    3       32768.0   76.800002   76.800002
+    3       32768.0   63.999998   63.999998
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
     6      262144.0  341.333321  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
-    9     2097152.0  722.823517  722.823517
+    9     2097152.0  722.823517  702.171410
     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  842.906750
+    13   33554432.0  842.004273  842.004273
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  43.825 seconds)
+   **Total running time of the script:** ( 1 minutes  40.774 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 1ea409b4e..69078cded 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
@@ -289,14 +289,14 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
     0     256.0  512.000001      512.000001   188.321838
     1     384.0  585.142862      585.142862   153.600004
     2     512.0  655.360017      585.142849   154.566038
-    3     640.0  682.666684      640.000002   160.000000
+    3     640.0  682.666684      640.000002   158.759699
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  814.058574      406.179533   198.631953
-    94  12288.0  814.111783      415.661740   198.895304
-    95  12416.0  812.498981      412.149375   198.556711
-    96  12544.0  812.566838      412.971190   198.766042
-    97  12672.0  812.633240      412.097543   198.873965
+    93  12160.0  812.359066      406.179533   198.834951
+    94  12288.0  814.111783      415.222812   199.197579
+    95  12416.0  812.498981      412.149375   198.755369
+    96  12544.0  812.566838      412.971190   199.012395
+    97  12672.0  812.633240      412.097543   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  23.816 seconds)
+   **Total running time of the script:** ( 3 minutes  22.442 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 dd65a6ad0..f35661a14 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   2.978909              2.978909
+    0    256.0   2.978909  ...   2.978909              2.978909
     1    384.0   7.372800  ...   8.507077              7.899428
     2    512.0  14.563555  ...  15.420235             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  39.025776  ...  39.025776             39.025776
-    6   1024.0  51.150050  ...  53.773130             52.428801
+    5    896.0  39.025776  ...  40.140799             39.025776
+    6   1024.0  51.150050  ...  52.428801             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
     8   1280.0  51.200001  ...  56.888887             56.109587
     9   1408.0  64.138541  ...  67.305878             66.485074
     10  1536.0  80.430545  ...  79.526831             78.643199
-    11  1664.0  63.372618  ...  62.492442             62.061463
+    11  1664.0  63.372618  ...  62.061463             62.061463
     12  1792.0  72.983276  ...  72.047592             71.588687
-    13  1920.0  69.467336  ...  70.530615             70.530615
-    14  2048.0  73.908442  ...  77.314362             76.959706
-    15  2176.0  83.500614  ...  85.998493             85.998493
-    16  2304.0  68.251065  ...  76.809875             76.809875
-    17  2432.0  71.305746  ...  83.864074             85.134737
-    18  2560.0  78.019048  ...  81.512437             81.108913
-    19  2688.0  83.922689  ...  89.464755             89.888756
-    20  2816.0  83.392363  ...  83.074685             83.392363
-    21  2944.0  82.509987  ...  82.373605             83.060049
-    22  3072.0  82.181572  ...  88.473602             89.451983
-    23  3200.0  84.544253  ...  95.309011             95.665176
-    24  3328.0  83.905938  ...  83.613586             84.298943
-    25  3456.0  81.766291  ...  87.823058             88.497878
-    26  3584.0  86.958797  ...  97.522120             91.610178
-    27  3712.0  83.247783  ...  85.345876             86.791782
-    28  3840.0  85.201850  ...  86.197974             86.332554
-    29  3968.0  93.290475  ...  84.445634             82.560175
-    30  4096.0  92.563952  ...  84.149044             82.444905
+    13  1920.0  68.776119  ...  70.172588             70.172588
+    14  2048.0  73.584279  ...  76.959706             76.608294
+    15  2176.0  83.155572  ...  85.998493             85.269692
+    16  2304.0  68.056616  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  83.119713             84.877538
+    18  2560.0  77.833728  ...  80.709358             80.709358
+    19  2688.0  83.552988  ...  90.532356             89.254248
+    20  2816.0  83.392363  ...  83.873477             83.712490
+    21  2944.0  82.784108  ...  81.967162             82.102191
+    22  3072.0  82.782312  ...  88.473602             88.060814
+    23  3200.0  83.009080  ...  94.395283             95.096582
+    24  3328.0  83.226931  ...  84.397770             84.895397
+    25  3456.0  81.108217  ...  86.134151             87.823058
+    26  3584.0  87.296493  ...  94.847460             97.628001
+    27  3712.0  85.896254  ...  86.116076             89.674457
+    28  3840.0  83.528704  ...  87.011801             91.549669
+    29  3968.0  87.945181  ...  91.335278             84.504108
+    30  4096.0  93.924229  ...  92.372834             86.313653
 
     [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  31.170 seconds)
+   **Total running time of the script:** ( 5 minutes  21.313 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
index 8821fe4ec..4fada9270 100644
--- a/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm-backward:
               N      Triton       Torch        Apex
-    0    1024.0  311.088617   99.096776  307.200008
-    1    1536.0  351.085717  133.083026  341.333333
-    2    2048.0  420.102553  162.217818  336.657521
-    3    2560.0  461.954908  182.857144  330.322572
-    4    3072.0  511.999982  191.501303  320.556515
-    5    3584.0  551.384634  208.271186  308.301075
-    6    4096.0  568.231237  220.412561  297.890900
-    7    4608.0  495.928261  231.849059  287.251954
-    8    5120.0  525.128191  242.845844  283.787523
-    9    5632.0  536.380957  243.545956  291.310338
-    10   6144.0  544.118087  248.661056  286.322318
-    11   6656.0  527.207907  256.000009  286.279570
-    12   7168.0  507.469040  262.243907  288.644296
-    13   7680.0  481.253256  260.707203  277.172933
+    0    1024.0  307.200008   99.497980  307.200008
+    1    1536.0  351.085717  133.083026  338.201833
+    2    2048.0  420.102553  162.217818  325.509933
+    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  536.380957  243.107920  290.683877
+    10   6144.0  542.117638  248.661056  285.767458
+    11   6656.0  527.207907  256.000009  286.793541
+    12   7168.0  507.469040  261.844750  288.644296
+    13   7680.0  482.513091  260.707203  277.590365
     14   8192.0  460.440290  268.957600  286.600589
-    15   8704.0  416.958106  267.815384  285.377055
+    15   8704.0  416.958106  267.472468  284.987724
     16   9216.0  428.651187  273.066667  289.507855
-    17   9728.0  438.857162  280.278512  288.950501
-    18  10240.0  446.836366  286.767793  290.153487
-    19  10752.0  429.364408  246.464170  290.267711
-    20  11264.0  429.786952  245.313973  285.767446
-    21  11776.0  421.198220  249.337447  288.686414
+    17   9728.0  438.857162  279.942444  288.950501
+    18  10240.0  446.836366  286.433562  289.982304
+    19  10752.0  428.651173  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  294.911986
     23  12800.0  415.135142  253.465340  288.180121
-    24  13312.0  412.242569  252.559690  290.179836
-    25  13824.0  405.098897  257.390218  292.571423
-    26  14336.0  397.761846  254.862216  286.481278
-    27  14848.0  383.999990  257.108233  289.246765
-    28  15360.0  374.634130  257.790220  288.000007
-    29  15872.0  366.982663  262.890274  291.229369
+    24  13312.0  412.242569  252.659556  290.179836
+    25  13824.0  404.604870  257.390218  292.571423
+    26  14336.0  397.761846  254.673567  286.481278
+    27  14848.0  384.414233  257.108233  289.246765
+    28  15360.0  374.253788  257.610071  286.433562
+    29  15872.0  367.336555  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.815 seconds)
+   **Total running time of the script:** ( 2 minutes  11.068 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 52fd06d71..ed3c36043 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
 =================
-**12:51.636** total execution time for **getting-started_tutorials** files:
+**12:35.608** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:31.170 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:21.313 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.816 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.442 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.815 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:11.068 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.825 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:40.774 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.011 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/v1.1.2/getting-started/tutorials/01-vector-add.html b/v1.1.2/getting-started/tutorials/01-vector-add.html
index 429312bbd..e2bf71a91 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -324,22 +324,22 @@ for different problem sizes.</p>
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
 2       16384.0   38.400001   38.400001
-3       32768.0   76.800002   76.800002
+3       32768.0   63.999998   63.999998
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
 6      262144.0  341.333321  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
-9     2097152.0  722.823517  722.823517
+9     2097152.0  722.823517  702.171410
 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  842.906750
+13   33554432.0  842.004273  842.004273
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.825 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.774 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 58a8f387c..86bd4de82 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -377,14 +377,14 @@ We will then compare its performance against (1) <code class="code docutils lite
 0     256.0  512.000001      512.000001   188.321838
 1     384.0  585.142862      585.142862   153.600004
 2     512.0  655.360017      585.142849   154.566038
-3     640.0  682.666684      640.000002   160.000000
+3     640.0  682.666684      640.000002   158.759699
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  814.058574      406.179533   198.631953
-94  12288.0  814.111783      415.661740   198.895304
-95  12416.0  812.498981      412.149375   198.556711
-96  12544.0  812.566838      412.971190   198.766042
-97  12672.0  812.633240      412.097543   198.873965
+93  12160.0  812.359066      406.179533   198.834951
+94  12288.0  814.111783      415.222812   199.197579
+95  12416.0  812.498981      412.149375   198.755369
+96  12544.0  812.566838      412.971190   199.012395
+97  12672.0  812.633240      412.097543   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  23.816 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.442 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 87add081a..cf97c1f0b 100644
--- a/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
+++ b/v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
@@ -568,42 +568,42 @@ torch_output=tensor([[  1.1045, -36.9688,  31.4688,  ..., -11.3906,  24.4531, -3
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
          M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-0    256.0   2.730667  ...   2.978909              2.978909
+0    256.0   2.978909  ...   2.978909              2.978909
 1    384.0   7.372800  ...   8.507077              7.899428
 2    512.0  14.563555  ...  15.420235             15.420235
 3    640.0  22.260869  ...  24.380953             24.380953
 4    768.0  32.768000  ...  34.028308             34.028308
-5    896.0  39.025776  ...  39.025776             39.025776
-6   1024.0  51.150050  ...  53.773130             52.428801
+5    896.0  39.025776  ...  40.140799             39.025776
+6   1024.0  51.150050  ...  52.428801             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
 8   1280.0  51.200001  ...  56.888887             56.109587
 9   1408.0  64.138541  ...  67.305878             66.485074
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