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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 0d9c1e40a..83a097452 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 ae8a007e9..46802ccd1 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 0e4e1c4f1..12c59d681 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 d172e98bb..4675f3bcf 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 8b88372f7..9dd055b95 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 f58e82692..b815213c2 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 f5d38821d..86eb51b88 100644
--- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -235,17 +235,17 @@ 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  384.000001  341.333321
+    6      262144.0  384.000001  384.000001
     7      524288.0  472.615390  472.615390
     8     1048576.0  614.400016  614.400016
     9     2097152.0  722.823517  722.823517
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  842.004273
+    13   33554432.0  842.004273  843.811163
     14   67108864.0  847.448255  848.362445
     15  134217728.0  849.737435  850.656574
 
@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  49.009 seconds)
+   **Total running time of the script:** ( 1 minutes  45.420 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 8fc841ac3..9abc6f559 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  546.133347      512.000001   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
+    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   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.733401
-    94  12288.0  812.429770      415.661740   198.995960
-    95  12416.0  812.498981      412.149375   198.655991
-    96  12544.0  810.925276      412.546756   198.913776
-    97  12672.0  811.007961      412.097543   198.971549
+    93  12160.0  812.359066      406.179533   198.530610
+    94  12288.0  812.429770      415.661740   198.895304
+    95  12416.0  812.498981      412.149375   198.457532
+    96  12544.0  810.925276      412.971190   198.716830
+    97  12672.0  811.007961      412.097543   198.776477
 
     [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  30.846 seconds)
+   **Total running time of the script:** ( 3 minutes  31.344 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 ab1ae96a8..ecbfe91ed 100644
--- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -459,9 +459,9 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.978909  ...   3.276800              3.276800
+    0    256.0   2.978909  ...   2.978909              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
@@ -472,24 +472,24 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
     10  1536.0  80.430545  ...  80.430545             79.526831
     11  1664.0  62.929456  ...  63.372618             62.492442
     12  1792.0  72.512412  ...  73.460287             59.467852
-    13  1920.0  69.120002  ...  71.626943             71.257735
+    13  1920.0  69.120002  ...  71.257735             71.257735
     14  2048.0  73.908442  ...  78.398206             77.314362
-    15  2176.0  83.500614  ...  87.876193             85.998493
-    16  2304.0  68.446623  ...  78.064941             77.307030
-    17  2432.0  71.305746  ...  85.653855             83.119713
-    18  2560.0  77.833728  ...  82.539044             81.108913
-    19  2688.0  83.369354  ...  90.532356             89.044730
-    20  2816.0  81.674548  ...  83.712490             83.074685
-    21  2944.0  82.373605  ...  83.060049             81.967162
-    22  3072.0  82.062468  ...  89.451983             87.787755
-    23  3200.0  79.701121  ...  88.765601             95.880147
-    24  3328.0  83.323259  ...  83.808259             83.034941
-    25  3456.0  82.688790  ...  84.597660             87.442050
-    26  3584.0  86.291162  ...  97.416461             98.483450
-    27  3712.0  82.152425  ...  83.526206             87.629253
-    28  3840.0  81.019778  ...  88.544438             90.352941
-    29  3968.0  87.976885  ...  92.652949             85.242012
-    30  4096.0  93.271527  ...  87.211002             84.573239
+    15  2176.0  83.155572  ...  87.876193             86.367588
+    16  2304.0  68.446623  ...  77.810656             77.307030
+    17  2432.0  71.305746  ...  86.711310             84.621881
+    18  2560.0  77.833728  ...  82.539044             81.715711
+    19  2688.0  83.737433  ...  90.102270             89.464755
+    20  2816.0  79.443003  ...  84.360174             83.712490
+    21  2944.0  81.832567  ...  83.337844             82.784108
+    22  3072.0  81.707223  ...  90.164177             87.924073
+    23  3200.0  83.879425  ...  97.116842             93.841640
+    24  3328.0  83.082856  ...  85.196803             84.695641
+    25  3456.0  78.732000  ...  91.824110             91.304157
+    26  3584.0  86.540320  ...  91.563533             92.600816
+    27  3712.0  85.748791  ...  84.766519             85.748791
+    28  3840.0  84.679936  ...  93.484358             84.809814
+    29  3968.0  92.512459  ...  85.003554             89.133631
+    30  4096.0  86.258181  ...  92.884244             86.369197
 
     [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  35.059 seconds)
+   **Total running time of the script:** ( 6 minutes  40.538 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 073c7564b..32d63eecd 100644
--- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
+++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
@@ -41,28 +41,28 @@ Layer Normalization
     0    1024.0  585.142849  277.694907  468.114273
     1    1536.0  630.153868  323.368435  511.999982
     2    2048.0  682.666643  334.367358  520.126988
-    3    2560.0  694.237267  365.714281  512.000013
+    3    2560.0  694.237267  365.714281  518.481028
     4    3072.0  712.347810  378.092307  496.484863
-    5    3584.0  725.873439  384.859062  448.000001
+    5    3584.0  725.873439  384.859062  455.111115
     6    4096.0  728.177767  381.023256  455.111095
-    7    4608.0  670.254540  394.267384  426.173427
-    8    5120.0  688.403381  397.669909  420.102563
-    9    5632.0  704.000002  395.228063  415.262685
+    7    4608.0  670.254540  394.267384  421.302872
+    8    5120.0  688.403381  397.669909  424.455959
+    9    5632.0  704.000002  395.228063  413.357796
     10   6144.0  697.191505  402.885254  409.600010
     11   6656.0  705.271522  400.360920  400.360920
     12   7168.0  690.891575  396.844306  386.154893
-    13   7680.0  678.895043  393.846167  386.415087
-    14   8192.0  636.271854  393.609605  371.308771
+    13   7680.0  678.895043  393.846167  387.634072
+    14   8192.0  633.198054  393.609605  371.308771
     15   8704.0  627.315309  389.005597  380.502740
     16   9216.0  606.814809  407.337026  383.999986
     17   9728.0  587.350922  409.599987  383.369452
     18  10240.0  564.965524  408.578556  382.803739
     19  10752.0  547.872604  411.559798  381.445676
     20  11264.0  533.207081  406.826188  373.134567
-    21  11776.0  520.486200  409.599991  378.345375
-    22  12288.0  514.680630  414.784810  383.251457
+    21  11776.0  520.486200  409.599991  377.587162
+    22  12288.0  513.336807  413.911572  383.251457
     23  12800.0  504.433489  410.420828  376.470582
-    24  13312.0  494.180982  405.699062  376.976995
+    24  13312.0  494.180982  405.699062  376.310952
     25  13824.0  482.934503  411.888257  379.389355
     26  14336.0  471.967074  406.695045  374.185964
     27  14848.0  461.297068  408.192434  375.304904
@@ -393,7 +393,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  36.661 seconds)
+   **Total running time of the script:** ( 5 minutes  41.161 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.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 a25fdf89f..f4038e13a 100644
--- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**17:31.669** total execution time for **getting-started_tutorials** files:
+**17:38.558** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:35.059 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:40.538 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:36.661 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:41.161 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.846 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:31.344 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:49.009 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.420 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``)             | 00:00.072 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html
index 67bfe0922..43b200f24 100644
--- a/master/getting-started/tutorials/01-vector-add.html
+++ b/master/getting-started/tutorials/01-vector-add.html
@@ -327,22 +327,22 @@ 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  384.000001  341.333321
+6      262144.0  384.000001  384.000001
 7      524288.0  472.615390  472.615390
 8     1048576.0  614.400016  614.400016
 9     2097152.0  722.823517  722.823517
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  842.004273
+13   33554432.0  842.004273  843.811163
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  49.009 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.420 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 7d051ba81..63def0199 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  546.133347      512.000001   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
+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   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.733401
-94  12288.0  812.429770      415.661740   198.995960
-95  12416.0  812.498981      412.149375   198.655991
-96  12544.0  810.925276      412.546756   198.913776
-97  12672.0  811.007961      412.097543   198.971549
+93  12160.0  812.359066      406.179533   198.530610
+94  12288.0  812.429770      415.661740   198.895304
+95  12416.0  812.498981      412.149375   198.457532
+96  12544.0  810.925276      412.971190   198.716830
+97  12672.0  811.007961      412.097543   198.776477
 
 [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  30.846 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  31.344 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 d3f3b2466..38722bde2 100644
--- a/master/getting-started/tutorials/03-matrix-multiplication.html
+++ b/master/getting-started/tutorials/03-matrix-multiplication.html
@@ -567,9 +567,9 @@ 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  ...   3.276800              3.276800
+0    256.0   2.978909  ...   2.978909              2.978909
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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 d429a2efa..b96db91b2 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 31d85b681..83bfe8db6 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 2886db9dc..4136358d9 100644
--- a/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -233,7 +233,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
                size      Triton       Torch
     0        4096.0    9.600000    9.600000
     1        8192.0   19.200000   19.200000
-    2       16384.0   31.999999   38.400001
+    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
@@ -244,7 +244,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     10    4194304.0  780.190482  780.190482
     11    8388608.0  812.429770  812.429770
     12   16777216.0  833.084721  833.084721
-    13   33554432.0  842.004273  843.811163
+    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  45.352 seconds)
+   **Total running time of the script:** ( 1 minutes  38.687 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 b840862e5..92782b8ab 100644
--- a/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      546.133347   188.321838
-    1     384.0  585.142862      585.142862   153.600004
+    0     256.0  512.000001      546.133347   184.089886
+    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   158.759699
     4     768.0  722.823517      664.216187   162.754967
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      405.755985   199.038365
-    94  12288.0  814.111783      415.222812   199.298541
-    95  12416.0  812.498981      411.296057   198.954424
-    96  12544.0  812.566838      412.971190   199.209928
-    97  12672.0  812.633240      412.097543   199.264875
+    93  12160.0  814.058574      406.179533   198.631953
+    94  12288.0  814.111783      416.101597   198.895304
+    95  12416.0  812.498981      412.149375   198.556711
+    96  12544.0  812.566838      412.971190   198.815254
+    97  12672.0  812.633240      412.097543   198.873965
 
     [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  21.402 seconds)
+   **Total running time of the script:** ( 3 minutes  21.356 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 508a9890d..d78485421 100644
--- a/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   3.276800              2.978909
+    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             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  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  40.140799             39.025776
-    6   1024.0  51.150050  ...  52.428801             52.428801
-    7   1152.0  45.242181  ...  47.396572             46.656000
-    8   1280.0  51.200001  ...  56.888887             56.888887
-    9   1408.0  64.138541  ...  67.305878             67.305878
-    10  1536.0  80.430545  ...  79.526831             79.526831
-    11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.512412             72.047592
-    13  1920.0  69.120002  ...  70.530615             70.530615
+    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  ...  71.588687             71.588687
+    13  1920.0  69.120002  ...  70.172588             70.530615
     14  2048.0  73.908442  ...  76.959706             76.959706
-    15  2176.0  83.155572  ...  86.367588             85.269692
-    16  2304.0  68.348707  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  74.719317             82.630777
-    18  2560.0  78.019048  ...  80.709358             81.108913
-    19  2688.0  83.186525  ...  89.464755             89.044730
-    20  2816.0  80.617762  ...  83.074685             82.446516
-    21  2944.0  82.102191  ...  83.060049             82.509987
-    22  3072.0  81.530748  ...  89.030036             89.310890
-    23  3200.0  84.544253  ...  95.096582             95.096582
-    24  3328.0  84.003845  ...  80.437202             83.808259
-    25  3456.0  81.849303  ...  90.892410             91.097818
-    26  3584.0  83.954614  ...  93.611591             98.591437
-    27  3712.0  85.382349  ...  83.526206             87.475786
-    28  3840.0  81.798814  ...  85.333335             91.549669
-    29  3968.0  88.938731  ...  91.198760             85.871877
-    30  4096.0  93.271527  ...  92.309303             85.217605
+    15  2176.0  83.500614  ...  86.367588             85.632545
+    16  2304.0  68.251065  ...  76.809875             76.563695
+    17  2432.0  71.305746  ...  74.719317             84.877538
+    18  2560.0  78.019048  ...  81.310171             81.108913
+    19  2688.0  83.369354  ...  89.676257             90.102270
+    20  2816.0  82.759409  ...  83.233226             83.392363
+    21  2944.0  82.237674  ...  82.373605             82.102191
+    22  3072.0  82.661468  ...  89.451983             88.197981
+    23  3200.0  84.600132  ...  95.665176             94.955488
+    24  3328.0  83.034941  ...  84.101981             84.496824
+    25  3456.0  80.140726  ...  82.773682             87.918831
+    26  3584.0  86.790921  ...  98.483450             90.188780
+    27  3712.0  83.947349  ...  84.230479             83.040189
+    28  3840.0  84.744825  ...  92.083268             84.164384
+    29  3968.0  92.652949  ...  83.865247             90.994735
+    30  4096.0  86.201047  ...  84.572407             91.741443
 
     [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  24.156 seconds)
+   **Total running time of the script:** ( 5 minutes  29.137 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 df184c041..283f810ee 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   99.497980  307.200008
-    1    1536.0  351.085717  133.565214  341.333333
-    2    2048.0  427.408686  159.067963  334.367350
-    3    2560.0  461.954908  183.402991  330.322572
-    4    3072.0  515.580429  193.005236  320.556515
-    5    3584.0  551.384634  208.271186  309.410081
-    6    4096.0  568.231237  220.412561  296.990947
-    7    4608.0  500.416301  232.825259  287.251954
-    8    5120.0  527.381977  240.469672  283.133649
-    9    5632.0  542.843364  240.941167  288.204696
-    10   6144.0  546.133354  250.349744  286.879370
-    11   6656.0  527.207907  254.775119  284.748652
-    12   7168.0  512.000004  253.360829  276.578769
-    13   7680.0  479.999983  263.690977  281.834874
-    14   8192.0  461.521112  265.327937  278.481578
-    15   8704.0  417.791980  264.425310  281.530996
-    16   9216.0  430.319054  271.724806  289.129410
-    17   9728.0  440.513191  280.615388  289.308559
-    18  10240.0  445.217381  286.100109  289.811322
-    19  10752.0  430.079980  246.699797  288.967529
-    20  11264.0  429.104745  241.803217  283.074347
-    21  11776.0  423.089806  248.569911  288.391833
-    22  12288.0  420.701865  253.578674  294.323369
-    23  12800.0  414.016170  252.839495  289.811310
-    24  13312.0  413.309181  250.382435  289.129403
-    25  13824.0  404.604870  256.000005  291.287079
-    26  14336.0  396.844280  254.673567  287.678923
-    27  14848.0  384.414233  257.293872  288.544136
-    28  15360.0  377.704925  259.605636  288.676598
-    29  15872.0  367.336555  263.800544  291.898841
+    0    1024.0  311.088617   99.096776  311.088617
+    1    1536.0  351.085717  133.083026  338.201833
+    2    2048.0  423.724127  162.217818  325.509933
+    3    2560.0  461.954908  182.857144  326.808501
+    4    3072.0  511.999982  191.501303  317.793096
+    5    3584.0  554.941930  208.271186  308.301075
+    6    4096.0  568.231237  220.412561  294.323343
+    7    4608.0  498.162157  231.849059  291.031570
+    8    5120.0  525.128191  242.845844  287.102804
+    9    5632.0  538.517949  243.107920  290.683877
+    10   6144.0  544.118087  248.661056  285.767458
+    11   6656.0  527.207907  256.000009  286.793541
+    12   7168.0  507.469040  261.844750  288.644296
+    13   7680.0  481.253256  260.707203  277.590365
+    14   8192.0  460.440290  268.957600  286.600589
+    15   8704.0  416.958106  267.815384  284.987724
+    16   9216.0  428.651187  273.066667  289.507855
+    17   9728.0  438.857162  280.278512  288.950501
+    18  10240.0  447.650282  286.433562  290.153487
+    19  10752.0  430.079980  246.464170  290.267711
+    20  11264.0  429.104745  245.091565  285.767446
+    21  11776.0  421.826879  249.447482  288.686414
+    22  12288.0  420.102570  254.453844  294.911986
+    23  12800.0  415.696898  253.465340  288.180121
+    24  13312.0  412.242569  252.759501  290.179836
+    25  13824.0  405.098897  257.190689  292.571423
+    26  14336.0  397.761846  254.673567  286.481278
+    27  14848.0  383.999990  257.108233  289.246765
+    28  15360.0  374.253788  257.610071  286.433562
+    29  15872.0  366.982663  262.708969  291.229369
 
 
 
@@ -329,7 +329,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  12.282 seconds)
+   **Total running time of the script:** ( 2 minutes  12.273 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 b05b30e34..e89dffaef 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
 =================
-**12:43.203** total execution time for **getting-started_tutorials** files:
+**12:41.463** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.156 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:29.137 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.402 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:21.356 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.282 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 02:12.273 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:45.352 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:38.687 | 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 48364e9ba..32fcdb9e2 100644
--- a/v1.1.2/getting-started/tutorials/01-vector-add.html
+++ b/v1.1.2/getting-started/tutorials/01-vector-add.html
@@ -323,7 +323,7 @@ for different problem sizes.</p>
            size      Triton       Torch
 0        4096.0    9.600000    9.600000
 1        8192.0   19.200000   19.200000
-2       16384.0   31.999999   38.400001
+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
@@ -334,12 +334,12 @@ for different problem sizes.</p>
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  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  45.352 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.687 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 28fb3c013..97db4f659 100644
--- a/v1.1.2/getting-started/tutorials/02-fused-softmax.html
+++ b/v1.1.2/getting-started/tutorials/02-fused-softmax.html
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
 <p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
           N      Triton  Torch (native)  Torch (jit)
-0     256.0  512.000001      546.133347   188.321838
-1     384.0  585.142862      585.142862   153.600004
+0     256.0  512.000001      546.133347   184.089886
+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   158.759699
 4     768.0  722.823517      664.216187   162.754967
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      405.755985   199.038365
-94  12288.0  814.111783      415.222812   199.298541
-95  12416.0  812.498981      411.296057   198.954424
-96  12544.0  812.566838      412.971190   199.209928
-97  12672.0  812.633240      412.097543   199.264875
+93  12160.0  814.058574      406.179533   198.631953
+94  12288.0  814.111783      416.101597   198.895304
+95  12416.0  812.498981      412.149375   198.556711
+96  12544.0  812.566838      412.971190   198.815254
+97  12672.0  812.633240      412.097543   198.873965
 
 [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  21.402 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  21.356 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 76b9a4124..35c960d73 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  ...   3.276800              2.978909
+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             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  ...  34.028308             34.028308
-5    896.0  37.971025  ...  40.140799             39.025776
-6   1024.0  51.150050  ...  52.428801             52.428801
-7   1152.0  45.242181  ...  47.396572             46.656000
-8   1280.0  51.200001  ...  56.888887             56.888887
-9   1408.0  64.138541  ...  67.305878             67.305878
-10  1536.0  80.430545  ...  79.526831             79.526831
-11  1664.0  63.372618  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  72.512412             72.047592
-13  1920.0  69.120002  ...  70.530615             70.530615
+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  ...  71.588687             71.588687
+13  1920.0  69.120002  ...  70.172588             70.530615
 14  2048.0  73.908442  ...  76.959706             76.959706
-15  2176.0  83.155572  ...  86.367588             85.269692
-16  2304.0  68.348707  ...  76.809875             76.563695
-17  2432.0  71.305746  ...  74.719317             82.630777
-18  2560.0  78.019048  ...  80.709358             81.108913
-19  2688.0  83.186525  ...  89.464755             89.044730
-20  2816.0  80.617762  ...  83.074685             82.446516
-21  2944.0  82.102191  ...  83.060049             82.509987
-22  3072.0  81.530748  ...  89.030036             89.310890
-23  3200.0  84.544253  ...  95.096582             95.096582
-24  3328.0  84.003845  ...  80.437202             83.808259
-25  3456.0  81.849303  ...  90.892410             91.097818
-26  3584.0  83.954614  ...  93.611591             98.591437
-27  3712.0  85.382349  ...  83.526206             87.475786
-28  3840.0  81.798814  ...  85.333335             91.549669
-29  3968.0  88.938731  ...  91.198760             85.871877
-30  4096.0  93.271527  ...  92.309303             85.217605
+15  2176.0  83.500614  ...  86.367588             85.632545
+16  2304.0  68.251065  ...  76.809875             76.563695
+17  2432.0  71.305746  ...  74.719317             84.877538
+18  2560.0  78.019048  ...  81.310171             81.108913
+19  2688.0  83.369354  ...  89.676257             90.102270
+20  2816.0  82.759409  ...  83.233226             83.392363
+21  2944.0  82.237674  ...  82.373605             82.102191
+22  3072.0  82.661468  ...  89.451983             88.197981
+23  3200.0  84.600132  ...  95.665176             94.955488
+24  3328.0  83.034941  ...  84.101981             84.496824
+25  3456.0  80.140726  ...  82.773682             87.918831
+26  3584.0  86.790921  ...  98.483450             90.188780
+27  3712.0  83.947349  ...  84.230479             83.040189
+28  3840.0  84.744825  ...  92.083268             84.164384
+29  3968.0  92.652949  ...  83.865247             90.994735
+30  4096.0  86.201047  ...  84.572407             91.741443
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  24.156 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  29.137 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 5c5030553..c6bcbf747 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   99.497980  307.200008
-1    1536.0  351.085717  133.565214  341.333333
-2    2048.0  427.408686  159.067963  334.367350
-3    2560.0  461.954908  183.402991  330.322572
-4    3072.0  515.580429  193.005236  320.556515
-5    3584.0  551.384634  208.271186  309.410081
-6    4096.0  568.231237  220.412561  296.990947
-7    4608.0  500.416301  232.825259  287.251954
-8    5120.0  527.381977  240.469672  283.133649
-9    5632.0  542.843364  240.941167  288.204696
-10   6144.0  546.133354  250.349744  286.879370
-11   6656.0  527.207907  254.775119  284.748652
-12   7168.0  512.000004  253.360829  276.578769
-13   7680.0  479.999983  263.690977  281.834874
-14   8192.0  461.521112  265.327937  278.481578
-15   8704.0  417.791980  264.425310  281.530996
-16   9216.0  430.319054  271.724806  289.129410
-17   9728.0  440.513191  280.615388  289.308559
-18  10240.0  445.217381  286.100109  289.811322
-19  10752.0  430.079980  246.699797  288.967529
-20  11264.0  429.104745  241.803217  283.074347
-21  11776.0  423.089806  248.569911  288.391833
-22  12288.0  420.701865  253.578674  294.323369
-23  12800.0  414.016170  252.839495  289.811310
-24  13312.0  413.309181  250.382435  289.129403
-25  13824.0  404.604870  256.000005  291.287079
-26  14336.0  396.844280  254.673567  287.678923
-27  14848.0  384.414233  257.293872  288.544136
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