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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 8dab0afaf..de1ed71b9 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 feea3bc0b..4e58c8d94 100644
Binary files a/master/_images/sphx_glr_02-fused-softmax_thumb.png and b/master/_images/sphx_glr_02-fused-softmax_thumb.png differ
diff --git a/master/_images/sphx_glr_03-matrix-multiplication_001.png b/master/_images/sphx_glr_03-matrix-multiplication_001.png
index 7601e6c2a..6dce3337f 100644
Binary files a/master/_images/sphx_glr_03-matrix-multiplication_001.png and b/master/_images/sphx_glr_03-matrix-multiplication_001.png differ
diff --git a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png
index 83124dad7..645eb5b94 100644
Binary files a/master/_images/sphx_glr_03-matrix-multiplication_thumb.png and b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png differ
diff --git a/master/_images/sphx_glr_05-layer-norm_001.png b/master/_images/sphx_glr_05-layer-norm_001.png
index 507060974..99586e069 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 f0796134a..e0f4aa3e0 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 6429b132b..8af48dd28 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -234,7 +234,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   38.400001   38.400001
+    2       16384.0   31.999999   38.400001
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
@@ -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  843.811163
+    13   33554432.0  842.004273  842.004273
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  45.595 seconds)
+   **Total running time of the script:** ( 1 minutes  41.994 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 b02ff98fc..1bc8ec152 100644
--- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  546.133347      546.133347   188.321838
+    0     256.0  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  706.206879      640.000002   158.759699
-    4     768.0  722.823517      664.216187   162.754967
+    2     512.0  655.360017      585.142849   154.566038
+    3     640.0  706.206879      640.000002   160.000000
+    4     768.0  722.823517      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.631953
-    94  12288.0  812.429770      415.661740   198.895304
-    95  12416.0  812.498981      412.149375   198.556711
-    96  12544.0  810.925276      412.546756   198.815254
-    97  12672.0  811.007961      412.097543   198.873965
+    93  12160.0  812.359066      405.755985   198.936606
+    94  12288.0  812.429770      415.661740   199.096718
+    95  12416.0  812.498981      412.149375   198.755369
+    96  12544.0  810.925276      412.971190   198.913776
+    97  12672.0  811.007961      412.097543   199.069228
 
     [98 rows x 4 columns]
 
@@ -306,7 +306,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  30.581 seconds)
+   **Total running time of the script:** ( 3 minutes  29.122 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 d020098e3..290bf77f6 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   2.978909              3.276800
+    0    256.0   2.730667  ...   3.276800              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             16.384000
+    2    512.0  14.563555  ...  16.384000             15.420235
     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  49.932191  ...  53.773130             52.428801
-    7   1152.0  45.242181  ...  48.161033             48.161033
+    7   1152.0  44.566925  ...  47.396572             47.396572
     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
+    9   1408.0  64.138541  ...  68.147202             67.305878
+    10  1536.0  80.430545  ...  81.355034             78.643199
     11  1664.0  62.929456  ...  63.372618             62.492442
     12  1792.0  72.512412  ...  73.460287             59.467852
-    13  1920.0  69.120002  ...  71.257735             71.257735
+    13  1920.0  69.120002  ...  71.626943             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.876193             86.367588
-    16  2304.0  68.446623  ...  78.064941             77.307030
-    17  2432.0  71.305746  ...  86.179335             85.653855
-    18  2560.0  77.833728  ...  82.125311             81.715711
-    19  2688.0  83.552988  ...  90.748936             89.254248
-    20  2816.0  83.873477  ...  84.687779             83.873477
-    21  2944.0  81.967162  ...  81.431424             83.337844
-    22  3072.0  81.589488  ...  86.712254             88.197981
-    23  3200.0  84.099871  ...  96.749806             95.238096
-    24  3328.0  82.939284  ...  85.096096             84.695641
-    25  3456.0  80.300370  ...  91.615417             86.596744
-    26  3584.0  83.876297  ...  88.152348             93.857401
-    27  3712.0  85.528545  ...  83.526206             87.629253
-    28  3840.0  81.798814  ...  88.086021             90.058629
-    29  3968.0  87.976885  ...  91.989400             86.296981
-    30  4096.0  93.142072  ...  83.105343             84.626564
+    15  2176.0  83.500614  ...  87.494120             85.998493
+    16  2304.0  68.446623  ...  77.810656             77.307030
+    17  2432.0  71.305746  ...  86.047367             80.155391
+    18  2560.0  78.019048  ...  82.331658             81.108913
+    19  2688.0  83.369354  ...  90.102270             89.888756
+    20  2816.0  79.733474  ...  83.873477             83.712490
+    21  2944.0  81.832567  ...  82.921853             82.102191
+    22  3072.0  82.540970  ...  88.820552             85.922766
+    23  3200.0  79.601989  ...  89.761569             95.952022
+    24  3328.0  83.516586  ...  85.806075             85.703924
+    25  3456.0  78.463811  ...  90.738961             83.632331
+    26  3584.0  86.540320  ...  88.152348             93.955476
+    27  3712.0  85.748791  ...  85.345876             87.475786
+    28  3840.0  82.592983  ...  87.286505             90.500819
+    29  3968.0  86.788006  ...  91.609561             84.096442
+    30  4096.0  92.691803  ...  90.200084             86.480498
 
     [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  29.672 seconds)
+   **Total running time of the script:** ( 6 minutes  19.422 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.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 d43381cd5..fd1d716c0 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -38,36 +38,36 @@ Layer Normalization
 
     layer-norm:
               N      Triton       Torch        Apex
-    0    1024.0  585.142849  277.694907  468.114273
+    0    1024.0  585.142849  277.694907  481.882344
     1    1536.0  630.153868  323.368435  511.999982
-    2    2048.0  668.734716  334.367358  520.126988
-    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
+    2    2048.0  682.666643  334.367358  520.126988
+    3    2560.0  694.237267  362.477870  518.481028
+    4    3072.0  712.347810  378.092307  501.551037
+    5    3584.0  725.873439  384.859062  458.751978
     6    4096.0  728.177767  381.023256  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
-    10   6144.0  702.171410  402.885254  411.313806
-    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  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  382.427505
-    18  10240.0  564.965524  408.578556  382.803739
-    19  10752.0  547.872604  411.559798  381.445676
-    20  11264.0  533.207081  406.826188  373.134567
-    21  11776.0  520.486200  409.599991  377.587162
-    22  12288.0  514.680630  413.911572  383.251457
-    23  12800.0  504.433489  410.420828  376.470582
-    24  13312.0  494.180982  405.699062  376.976995
-    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  378.092307
-    29  15872.0  447.098578  406.974373  376.783377
+    7    4608.0  670.254540  396.387087  426.173427
+    8    5120.0  688.403381  395.748783  424.455959
+    9    5632.0  704.000002  396.969169  413.357796
+    10   6144.0  697.191505  402.885254  411.313806
+    11   6656.0  700.631610  400.360920  398.861429
+    12   7168.0  686.754468  383.571898  381.023265
+    13   7680.0  678.895043  391.337574  386.415087
+    14   8192.0  642.509816  390.095241  377.729113
+    15   8704.0  621.714277  390.095225  379.465939
+    16   9216.0  601.861217  403.989025  383.002605
+    17   9728.0  585.142883  409.599987  382.427505
+    18  10240.0  563.024047  409.600010  382.803739
+    19  10752.0  546.133312  410.577576  380.601764
+    20  11264.0  531.634232  397.845487  371.595879
+    21  11776.0  519.052343  409.599991  377.587162
+    22  12288.0  516.031509  413.911572  382.505826
+    23  12800.0  503.194086  409.599981  376.470582
+    24  13312.0  494.180982  407.250459  376.976995
+    25  13824.0  481.882350  411.888257  379.389355
+    26  14336.0  471.967074  399.609753  371.760140
+    27  14848.0  461.297068  405.406157  374.712936
+    28  15360.0  454.269882  407.562194  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  36.337 seconds)
+   **Total running time of the script:** ( 5 minutes  29.220 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 94cde5de4..71f957a7b 100644
--- a/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
+++ b/master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
@@ -390,7 +390,7 @@ This is a Triton implementation of the Flash Attention algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.072 seconds)
+   **Total running time of the script:** ( 0 minutes  0.076 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
diff --git a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
index 297ebf116..018c357c7 100644
--- a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
+++ b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.010 seconds)
+   **Total running time of the script:** ( 0 minutes  0.012 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 db7f6bed9..af25cc36b 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
 =================
-**17:22.279** total execution time for **getting-started_tutorials** files:
+**16:59.858** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:29.672 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:19.422 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:36.337 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:29.220 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.581 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:29.122 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.595 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:41.994 | 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_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.076 | 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 |
+| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``)       | 00:00.012 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index e55f882c1..f26beff5d 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -326,7 +326,7 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   38.400001   38.400001
+2       16384.0   31.999999   38.400001
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
@@ -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  843.811163
+13   33554432.0  842.004273  842.004273
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.595 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  41.994 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 539163efe..7fac97e19 100644
--- a/master/getting-started/tutorials/02-fused-softmax.html
+++ b/master/getting-started/tutorials/02-fused-softmax.html
@@ -371,17 +371,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  546.133347      546.133347   188.321838
+0     256.0  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  706.206879      640.000002   158.759699
-4     768.0  722.823517      664.216187   162.754967
+2     512.0  655.360017      585.142849   154.566038
+3     640.0  706.206879      640.000002   160.000000
+4     768.0  722.823517      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.631953
-94  12288.0  812.429770      415.661740   198.895304
-95  12416.0  812.498981      412.149375   198.556711
-96  12544.0  810.925276      412.546756   198.815254
-97  12672.0  811.007961      412.097543   198.873965
+93  12160.0  812.359066      405.755985   198.936606
+94  12288.0  812.429770      415.661740   199.096718
+95  12416.0  812.498981      412.149375   198.755369
+96  12544.0  810.925276      412.971190   198.913776
+97  12672.0  811.007961      412.097543   199.069228
 
 [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>
 </ul>
 </div></blockquote>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  30.581 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  29.122 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
index fc88879f8..023c8bcec 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
 <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   2.978909  ...   2.978909              3.276800
+0    256.0   2.730667  ...   3.276800              2.978909
 1    384.0   7.372800  ...   8.507077              8.507077
-2    512.0  14.563555  ...  16.384000             16.384000
+2    512.0  14.563555  ...  16.384000             15.420235
 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  49.932191  ...  53.773130             52.428801
-7   1152.0  45.242181  ...  48.161033             48.161033
+7   1152.0  44.566925  ...  47.396572             47.396572
 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
+9   1408.0  64.138541  ...  68.147202             67.305878
+10  1536.0  80.430545  ...  81.355034             78.643199
 11  1664.0  62.929456  ...  63.372618             62.492442
 12  1792.0  72.512412  ...  73.460287             59.467852
-13  1920.0  69.120002  ...  71.257735             71.257735
+13  1920.0  69.120002  ...  71.626943             71.257735
 14  2048.0  73.908442  ...  78.398206             77.314362
-15  2176.0  83.500614  ...  87.876193             86.367588
-16  2304.0  68.446623  ...  78.064941             77.307030
-17  2432.0  71.305746  ...  86.179335             85.653855
-18  2560.0  77.833728  ...  82.125311             81.715711
-19  2688.0  83.552988  ...  90.748936             89.254248
-20  2816.0  83.873477  ...  84.687779             83.873477
-21  2944.0  81.967162  ...  81.431424             83.337844
-22  3072.0  81.589488  ...  86.712254             88.197981
-23  3200.0  84.099871  ...  96.749806             95.238096
-24  3328.0  82.939284  ...  85.096096             84.695641
-25  3456.0  80.300370  ...  91.615417             86.596744
-26  3584.0  83.876297  ...  88.152348             93.857401
-27  3712.0  85.528545  ...  83.526206             87.629253
-28  3840.0  81.798814  ...  88.086021             90.058629
-29  3968.0  87.976885  ...  91.989400             86.296981
-30  4096.0  93.142072  ...  83.105343             84.626564
+15  2176.0  83.500614  ...  87.494120             85.998493
+16  2304.0  68.446623  ...  77.810656             77.307030
+17  2432.0  71.305746  ...  86.047367             80.155391
+18  2560.0  78.019048  ...  82.331658             81.108913
+19  2688.0  83.369354  ...  90.102270             89.888756
+20  2816.0  79.733474  ...  83.873477             83.712490
+21  2944.0  81.832567  ...  82.921853             82.102191
+22  3072.0  82.540970  ...  88.820552             85.922766
+23  3200.0  79.601989  ...  89.761569             95.952022
+24  3328.0  83.516586  ...  85.806075             85.703924
+25  3456.0  78.463811  ...  90.738961             83.632331
+26  3584.0  86.540320  ...  88.152348             93.955476
+27  3712.0  85.748791  ...  85.345876             87.475786
+28  3840.0  82.592983  ...  87.286505             90.500819
+29  3968.0  86.788006  ...  91.609561             84.096442
+30  4096.0  92.691803  ...  90.200084             86.480498
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes  29.672 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes  19.422 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/master/getting-started/tutorials/05-layer-norm.html b/master/getting-started/tutorials/05-layer-norm.html
index ac055e505..f8e0f76b2 100644
--- a/master/getting-started/tutorials/05-layer-norm.html
+++ b/master/getting-started/tutorials/05-layer-norm.html
@@ -196,36 +196,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm:
           N      Triton       Torch        Apex
-0    1024.0  585.142849  277.694907  468.114273
+0    1024.0  585.142849  277.694907  481.882344
 1    1536.0  630.153868  323.368435  511.999982
-2    2048.0  668.734716  334.367358  520.126988
-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
+2    2048.0  682.666643  334.367358  520.126988
+3    2560.0  694.237267  362.477870  518.481028
+4    3072.0  712.347810  378.092307  501.551037
+5    3584.0  725.873439  384.859062  458.751978
 6    4096.0  728.177767  381.023256  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
-10   6144.0  702.171410  402.885254  411.313806
-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  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  382.427505
-18  10240.0  564.965524  408.578556  382.803739
-19  10752.0  547.872604  411.559798  381.445676
-20  11264.0  533.207081  406.826188  373.134567
-21  11776.0  520.486200  409.599991  377.587162
-22  12288.0  514.680630  413.911572  383.251457
-23  12800.0  504.433489  410.420828  376.470582
-24  13312.0  494.180982  405.699062  376.976995
-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  378.092307
-29  15872.0  447.098578  406.974373  376.783377
+7    4608.0  670.254540  396.387087  426.173427
+8    5120.0  688.403381  395.748783  424.455959
+9    5632.0  704.000002  396.969169  413.357796
+10   6144.0  697.191505  402.885254  411.313806
+11   6656.0  700.631610  400.360920  398.861429
+12   7168.0  686.754468  383.571898  381.023265
+13   7680.0  678.895043  391.337574  386.415087
+14   8192.0  642.509816  390.095241  377.729113
+15   8704.0  621.714277  390.095225  379.465939
+16   9216.0  601.861217  403.989025  383.002605
+17   9728.0  585.142883  409.599987  382.427505
+18  10240.0  563.024047  409.600010  382.803739
+19  10752.0  546.133312  410.577576  380.601764
+20  11264.0  531.634232  397.845487  371.595879
+21  11776.0  519.052343  409.599991  377.587162
+22  12288.0  516.031509  413.911572  382.505826
+23  12800.0  503.194086  409.599981  376.470582
+24  13312.0  494.180982  407.250459  376.976995
+25  13824.0  481.882350  411.888257  379.389355
+26  14336.0  471.967074  399.609753  371.760140
+27  14848.0  461.297068  405.406157  374.712936
+28  15360.0  454.269882  407.562194  378.092307
+29  15872.0  447.887117  406.974373  376.225175
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@@ -543,7 +543,7 @@ to download the full example code</p>
 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  29.220 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-05-layer-norm-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.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">05-layer-norm.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/06-fused-attention.html b/master/getting-started/tutorials/06-fused-attention.html
index 505a81678..e2495f173 100644
--- a/master/getting-started/tutorials/06-fused-attention.html
+++ b/master/getting-started/tutorials/06-fused-attention.html
@@ -548,7 +548,7 @@ to download the full example code</p>
 <span class="c1"># bench_flash_attention.run(save_path=&#39;.&#39;, print_data=True)</span>
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 <p><a class="reference download internal" download="" href="../../_downloads/54a35f6ec55f9746935b9566fb6bb1df/06-fused-attention.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">06-fused-attention.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/07-libdevice-function.html b/master/getting-started/tutorials/07-libdevice-function.html
index e8648e0b7..31e614e80 100644
--- a/master/getting-started/tutorials/07-libdevice-function.html
+++ b/master/getting-started/tutorials/07-libdevice-function.html
@@ -276,7 +276,7 @@ tensor([0.4105, 0.5430, 0.0249,  ..., 0.0424, 0.5351, 0.8149], device=&#39;cuda:
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 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/3ff29f967ace7985da24aab10352fc76/07-libdevice-function.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">07-libdevice-function.py</span></code></a></p>
diff --git a/master/getting-started/tutorials/sg_execution_times.html b/master/getting-started/tutorials/sg_execution_times.html
index 8b29056f1..1a5a19468 100644
--- a/master/getting-started/tutorials/sg_execution_times.html
+++ b/master/getting-started/tutorials/sg_execution_times.html
@@ -174,7 +174,7 @@
             
   <div class="section" id="computation-times">
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 <td><p>0.0 MB</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="05-layer-norm.html#sphx-glr-getting-started-tutorials-05-layer-norm-py"><span class="std std-ref">Layer Normalization</span></a> (<code class="docutils literal notranslate"><span class="pre">05-layer-norm.py</span></code>)</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="01-vector-add.html#sphx-glr-getting-started-tutorials-01-vector-add-py"><span class="std std-ref">Vector Addition</span></a> (<code class="docutils literal notranslate"><span class="pre">01-vector-add.py</span></code>)</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="07-libdevice-function.html#sphx-glr-getting-started-tutorials-07-libdevice-function-py"><span class="std std-ref">Libdevice function</span></a> (<code class="docutils literal notranslate"><span class="pre">07-libdevice-function.py</span></code>)</p></td>
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index ed1b12116..f65345dd8 100644
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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 ffeab5026..62a0998c3 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 55f8215de..3c29193fa 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 f34c41ef5..ad6992716 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
@@ -237,10 +237,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     3       32768.0   76.800002   76.800002
     4       65536.0  127.999995  127.999995
     5      131072.0  219.428568  219.428568
-    6      262144.0  341.333321  384.000001
+    6      262144.0  341.333321  341.333321
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
-    9     2097152.0  722.823517  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
@@ -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  37.395 seconds)
+   **Total running time of the script:** ( 1 minutes  43.959 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 cc33d3b4b..3b8845565 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
@@ -286,13 +286,13 @@ 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  585.142862      585.142862   153.600004
-    2     512.0  655.360017      585.142849   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      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  812.359066      406.179533   198.834951
+    93  12160.0  814.058574      406.179533   198.733401
     94  12288.0  814.111783      415.661740   199.096718
     95  12416.0  812.498981      412.149375   198.755369
     96  12544.0  812.566838      412.971190   199.012395
@@ -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  18.756 seconds)
+   **Total running time of the script:** ( 3 minutes  23.286 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 b80683ba6..a907ee2b4 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
-    1    384.0   7.372800  ...   8.507077              8.507077
-    2    512.0  14.563555  ...  16.384000             15.420235
+    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
-    5    896.0  39.025776  ...  39.025776             37.971025
-    6   1024.0  49.932191  ...  53.773130             52.428801
+    5    896.0  39.025776  ...  40.140799             39.025776
+    6   1024.0  51.150050  ...  53.773130             52.428801
     7   1152.0  45.242181  ...  46.656000             46.656000
     8   1280.0  51.200001  ...  56.888887             56.109587
     9   1408.0  64.138541  ...  67.305878             66.485074
     10  1536.0  80.430545  ...  79.526831             78.643199
     11  1664.0  62.929456  ...  62.061463             62.061463
-    12  1792.0  72.512412  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.530615             70.530615
-    14  2048.0  73.908442  ...  76.959706             76.959706
-    15  2176.0  83.500614  ...  85.998493             85.632545
-    16  2304.0  68.251065  ...  76.319081             76.563695
-    17  2432.0  71.305746  ...  74.719317             84.877538
-    18  2560.0  77.833728  ...  81.310171             80.908642
-    19  2688.0  83.004501  ...  88.732296             89.044730
-    20  2816.0  79.443003  ...  82.290955             83.074685
-    21  2944.0  82.102191  ...  83.198715             82.373605
-    22  3072.0  82.181572  ...  87.651868             82.661468
-    23  3200.0  80.808083  ...  95.808380             94.955488
-    24  3328.0  83.323259  ...  80.347427             84.596116
-    25  3456.0  81.477080  ...  86.689860             90.281712
-    26  3584.0  87.296493  ...  98.483450             93.564405
-    27  3712.0  84.088676  ...  88.404730             86.791782
-    28  3840.0  84.615146  ...  92.083268             84.102376
-    29  3968.0  92.372393  ...  80.278903             84.299785
-    30  4096.0  90.443212  ...  86.369197             89.538177
+    12  1792.0  72.512412  ...  71.588687             71.588687
+    13  1920.0  69.120002  ...  70.172588             70.530615
+    14  2048.0  73.908442  ...  77.314362             76.959706
+    15  2176.0  83.155572  ...  85.998493             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  ...  81.108913             81.108913
+    19  2688.0  83.186525  ...  89.676257             89.044730
+    20  2816.0  81.674548  ...  82.759409             83.392363
+    21  2944.0  82.921853  ...  81.564701             82.237674
+    22  3072.0  82.062468  ...  89.030036             88.197981
+    23  3200.0  83.989503  ...  95.665176             94.814812
+    24  3328.0  83.034941  ...  85.297742             82.939284
+    25  3456.0  81.849303  ...  85.767626             90.281712
+    26  3584.0  87.042978  ...  98.483450             92.505546
+    27  3712.0  82.287760  ...  87.629253             86.791782
+    28  3840.0  84.550462  ...  92.083268             85.399230
+    29  3968.0  92.582651  ...  84.212518             90.926929
+    30  4096.0  87.438257  ...  86.536250             91.678778
 
     [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  18.032 seconds)
+   **Total running time of the script:** ( 5 minutes  24.712 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 bbc619539..b37adbab4 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  338.201833
-    2    2048.0  423.724127  162.217818  336.657521
-    3    2560.0  461.954908  182.857144  328.556154
-    4    3072.0  511.999982  191.501303  320.556515
-    5    3584.0  554.941930  208.271186  308.301075
+    0    1024.0  307.200008   99.096776  311.088617
+    1    1536.0  351.085717  133.083026  341.333333
+    2    2048.0  423.724127  162.217818  338.979315
+    3    2560.0  461.954908  182.857144  330.322572
+    4    3072.0  515.580429  191.501303  319.168834
+    5    3584.0  554.941930  208.271186  307.199992
     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
-    9    5632.0  538.517949  243.545956  290.683877
-    10   6144.0  542.117638  248.661056  285.767458
+    8    5120.0  525.128191  242.845844  286.433562
+    9    5632.0  538.517949  243.107920  290.683877
+    10   6144.0  544.118087  248.661056  285.767458
     11   6656.0  527.207907  256.000009  286.279570
-    12   7168.0  505.976473  261.844750  288.160801
-    13   7680.0  482.513091  260.707203  277.590365
-    14   8192.0  460.440290  268.957600  286.183409
-    15   8704.0  416.958106  267.815384  285.377055
+    12   7168.0  507.469040  262.243907  288.160801
+    13   7680.0  482.513091  260.707203  277.172933
+    14   8192.0  460.440290  268.957600  286.600589
+    15   8704.0  416.958106  267.815384  284.987724
     16   9216.0  428.651187  272.729961  289.507855
-    17   9728.0  439.683593  280.278512  288.950501
-    18  10240.0  447.650282  286.767793  290.496460
+    17   9728.0  438.857162  280.278512  288.950501
+    18  10240.0  447.650282  286.433562  290.496460
     19  10752.0  430.079980  246.464170  290.267711
     20  11264.0  429.104745  245.091565  285.767446
-    21  11776.0  421.198220  249.447482  288.686414
-    22  12288.0  420.102570  254.453844  295.207195
-    23  12800.0  415.696898  253.465340  288.721817
-    24  13312.0  412.242569  252.559690  290.179836
-    25  13824.0  405.098897  257.590056  292.571423
+    21  11776.0  421.198220  249.227509  288.686414
+    22  12288.0  420.102570  254.344118  294.911986
+    23  12800.0  415.135142  253.465340  289.811310
+    24  13312.0  412.242569  252.360194  290.179836
+    25  13824.0  405.098897  257.190689  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  257.790220  287.550706
-    29  15872.0  366.982663  262.890274  291.229369
+    28  15360.0  374.634130  257.790220  287.550706
+    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  12.525 seconds)
+   **Total running time of the script:** ( 2 minutes  10.850 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 392f24f97..5ed27b806 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
 =================
-**12:26.718** total execution time for **getting-started_tutorials** files:
+**12:42.818** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:18.032 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.712 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:18.756 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:23.286 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.525 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:10.850 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:37.395 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.959 | 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 ec495f8fa..bd02b4262 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -327,10 +327,10 @@ for different problem sizes.</p>
 3       32768.0   76.800002   76.800002
 4       65536.0  127.999995  127.999995
 5      131072.0  219.428568  219.428568
-6      262144.0  341.333321  384.000001
+6      262144.0  341.333321  341.333321
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
-9     2097152.0  722.823517  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
@@ -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  37.395 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.959 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 0413bcf71..a35852027 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,13 +374,13 @@ 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      512.000001   190.511628
-1     384.0  585.142862      585.142862   153.600004
-2     512.0  655.360017      585.142849   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      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  812.359066      406.179533   198.834951
+93  12160.0  814.058574      406.179533   198.733401
 94  12288.0  814.111783      415.661740   199.096718
 95  12416.0  812.498981      412.149375   198.755369
 96  12544.0  812.566838      412.971190   199.012395
@@ -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  18.756 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  23.286 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 6de028235..90685be53 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
-1    384.0   7.372800  ...   8.507077              8.507077
-2    512.0  14.563555  ...  16.384000             15.420235
+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
-5    896.0  39.025776  ...  39.025776             37.971025
-6   1024.0  49.932191  ...  53.773130             52.428801
+5    896.0  39.025776  ...  40.140799             39.025776
+6   1024.0  51.150050  ...  53.773130             52.428801
 7   1152.0  45.242181  ...  46.656000             46.656000
 8   1280.0  51.200001  ...  56.888887             56.109587
 9   1408.0  64.138541  ...  67.305878             66.485074
 10  1536.0  80.430545  ...  79.526831             78.643199
 11  1664.0  62.929456  ...  62.061463             62.061463
-12  1792.0  72.512412  ...  72.047592             71.588687
-13  1920.0  69.120002  ...  70.530615             70.530615
-14  2048.0  73.908442  ...  76.959706             76.959706
-15  2176.0  83.500614  ...  85.998493             85.632545
-16  2304.0  68.251065  ...  76.319081             76.563695
-17  2432.0  71.305746  ...  74.719317             84.877538
-18  2560.0  77.833728  ...  81.310171             80.908642
-19  2688.0  83.004501  ...  88.732296             89.044730
-20  2816.0  79.443003  ...  82.290955             83.074685
-21  2944.0  82.102191  ...  83.198715             82.373605
-22  3072.0  82.181572  ...  87.651868             82.661468
-23  3200.0  80.808083  ...  95.808380             94.955488
-24  3328.0  83.323259  ...  80.347427             84.596116
-25  3456.0  81.477080  ...  86.689860             90.281712
-26  3584.0  87.296493  ...  98.483450             93.564405
-27  3712.0  84.088676  ...  88.404730             86.791782
-28  3840.0  84.615146  ...  92.083268             84.102376
-29  3968.0  92.372393  ...  80.278903             84.299785
-30  4096.0  90.443212  ...  86.369197             89.538177
+12  1792.0  72.512412  ...  71.588687             71.588687
+13  1920.0  69.120002  ...  70.172588             70.530615
+14  2048.0  73.908442  ...  77.314362             76.959706
+15  2176.0  83.155572  ...  85.998493             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  ...  81.108913             81.108913
+19  2688.0  83.186525  ...  89.676257             89.044730
+20  2816.0  81.674548  ...  82.759409             83.392363
+21  2944.0  82.921853  ...  81.564701             82.237674
+22  3072.0  82.062468  ...  89.030036             88.197981
+23  3200.0  83.989503  ...  95.665176             94.814812
+24  3328.0  83.034941  ...  85.297742             82.939284
+25  3456.0  81.849303  ...  85.767626             90.281712
+26  3584.0  87.042978  ...  98.483450             92.505546
+27  3712.0  82.287760  ...  87.629253             86.791782
+28  3840.0  84.550462  ...  92.083268             85.399230
+29  3968.0  92.582651  ...  84.212518             90.926929
+30  4096.0  87.438257  ...  86.536250             91.678778
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  18.032 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  24.712 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
diff --git a/v1.1.2/getting-started/tutorials/05-layer-norm.html b/v1.1.2/getting-started/tutorials/05-layer-norm.html
index 52cca4d61..56b2815e3 100644
--- a/v1.1.2/getting-started/tutorials/05-layer-norm.html
+++ b/v1.1.2/getting-started/tutorials/05-layer-norm.html
@@ -194,36 +194,36 @@ to download the full example code</p>
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
           N      Triton       Torch        Apex
-0    1024.0  311.088617   99.096776  307.200008
-1    1536.0  351.085717  133.083026  338.201833
-2    2048.0  423.724127  162.217818  336.657521
-3    2560.0  461.954908  182.857144  328.556154
-4    3072.0  511.999982  191.501303  320.556515
-5    3584.0  554.941930  208.271186  308.301075
+0    1024.0  307.200008   99.096776  311.088617
+1    1536.0  351.085717  133.083026  341.333333
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+3    2560.0  461.954908  182.857144  330.322572
+4    3072.0  515.580429  191.501303  319.168834
+5    3584.0  554.941930  208.271186  307.199992
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 7    4608.0  498.162157  231.849059  287.251954
-8    5120.0  525.128191  242.845844  283.787523
-9    5632.0  538.517949  243.545956  290.683877
-10   6144.0  542.117638  248.661056  285.767458
+8    5120.0  525.128191  242.845844  286.433562
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-12   7168.0  505.976473  261.844750  288.160801
-13   7680.0  482.513091  260.707203  277.590365
-14   8192.0  460.440290  268.957600  286.183409
-15   8704.0  416.958106  267.815384  285.377055
+12   7168.0  507.469040  262.243907  288.160801
+13   7680.0  482.513091  260.707203  277.172933
+14   8192.0  460.440290  268.957600  286.600589
+15   8704.0  416.958106  267.815384  284.987724
 16   9216.0  428.651187  272.729961  289.507855
-17   9728.0  439.683593  280.278512  288.950501
-18  10240.0  447.650282  286.767793  290.496460
+17   9728.0  438.857162  280.278512  288.950501
+18  10240.0  447.650282  286.433562  290.496460
 19  10752.0  430.079980  246.464170  290.267711
 20  11264.0  429.104745  245.091565  285.767446
-21  11776.0  421.198220  249.447482  288.686414
-22  12288.0  420.102570  254.453844  295.207195
-23  12800.0  415.696898  253.465340  288.721817
-24  13312.0  412.242569  252.559690  290.179836
-25  13824.0  405.098897  257.590056  292.571423
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+22  12288.0  420.102570  254.344118  294.911986
+23  12800.0  415.135142  253.465340  289.811310
+24  13312.0  412.242569  252.360194  290.179836
+25  13824.0  405.098897  257.190689  292.571423
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 27  14848.0  384.414233  257.108233  289.246765
-28  15360.0  374.253788  257.790220  287.550706
-29  15872.0  366.982663  262.890274  291.229369
+28  15360.0  374.634130  257.790220  287.550706
+29  15872.0  366.982663  262.708969  291.229369
 </pre></div>
 </div>
 <div class="line-block">
@@ -477,7 +477,7 @@ to download the full example code</p>
 <span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 </pre></div>
 </div>
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