diff --git a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip
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diff --git a/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip b/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip
index 33be8bc69..c32610015 100644
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diff --git a/_images/sphx_glr_01-vector-add_001.png b/_images/sphx_glr_01-vector-add_001.png
index 40e0affea..d751b9712 100644
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diff --git a/_images/sphx_glr_01-vector-add_thumb.png b/_images/sphx_glr_01-vector-add_thumb.png
index 4d8f403fc..c7b8426b1 100644
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diff --git a/_images/sphx_glr_02-fused-softmax_001.png b/_images/sphx_glr_02-fused-softmax_001.png
index ef8509725..23fd855d4 100644
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diff --git a/_images/sphx_glr_02-fused-softmax_thumb.png b/_images/sphx_glr_02-fused-softmax_thumb.png
index 9fe83bc40..c574acd80 100644
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diff --git a/_images/sphx_glr_03-matrix-multiplication_001.png b/_images/sphx_glr_03-matrix-multiplication_001.png
index 41532c54f..bd388707a 100644
Binary files a/_images/sphx_glr_03-matrix-multiplication_001.png and b/_images/sphx_glr_03-matrix-multiplication_001.png differ
diff --git a/_images/sphx_glr_03-matrix-multiplication_thumb.png b/_images/sphx_glr_03-matrix-multiplication_thumb.png
index d3758285c..c688db793 100644
Binary files a/_images/sphx_glr_03-matrix-multiplication_thumb.png and b/_images/sphx_glr_03-matrix-multiplication_thumb.png differ
diff --git a/_sources/getting-started/tutorials/01-vector-add.rst.txt b/_sources/getting-started/tutorials/01-vector-add.rst.txt
index 0ca906e4e..44b3f7cb4 100644
--- a/_sources/getting-started/tutorials/01-vector-add.rst.txt
+++ b/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -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  842.004273
+    13   33554432.0  842.004273  843.811163
     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  52.819 seconds)
+   **Total running time of the script:** ( 1 minutes  54.033 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
diff --git a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt b/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
index 5440878cf..d4dc30e70 100644
--- a/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
+++ b/_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   151.703707
-    2     512.0  655.360017      606.814814   154.566038
-    3     640.0  660.645170      640.000002   160.000000
-    4     768.0  702.171410      664.216187   162.754967
+    0     256.0  512.000001      546.133347   186.181817
+    1     384.0  585.142862      585.142862   153.600004
+    2     512.0  630.153853      606.814814   154.566038
+    3     640.0  682.666684      640.000002   160.000000
+    4     768.0  702.171410      664.216187   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  810.666687      405.755985   199.038365
-    94  12288.0  810.754644      415.661740   199.197579
-    95  12416.0  809.189387      412.149375   198.954424
+    93  12160.0  810.666687      406.179533   199.038365
+    94  12288.0  810.754644      415.881552   199.298541
+    95  12416.0  809.189387      412.149375   198.904612
     96  12544.0  807.661970      412.971190   199.111113
-    97  12672.0  807.776923      412.516771   199.167004
+    97  12672.0  806.170993      412.097543   199.264875
 
     [98 rows x 4 columns]
 
@@ -314,7 +314,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  29.348 seconds)
+   **Total running time of the script:** ( 3 minutes  30.656 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
diff --git a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
index a1db92a69..923e5a293 100644
--- a/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
+++ b/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
 
     matmul-performance:
              M     cuBLAS  ...     Triton  Triton (+ LeakyReLU)
-    0    256.0   2.730667  ...   2.978909              2.978909
+    0    256.0   2.978909  ...   2.978909              2.978909
     1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  16.384000             16.384000
     3    640.0  22.260869  ...  24.380953             24.380953
     4    768.0  32.768000  ...  34.028308             34.028308
-    5    896.0  37.971025  ...  40.140799             39.025776
+    5    896.0  39.025776  ...  40.140799             39.025776
     6   1024.0  49.932191  ...  53.773130             52.428801
     7   1152.0  44.566925  ...  46.656000             45.938215
     8   1280.0  51.200001  ...  56.109587             56.109587
-    9   1408.0  64.138541  ...  66.485074             66.485074
+    9   1408.0  64.138541  ...  66.485074             65.684049
     10  1536.0  80.430545  ...  78.643199             78.643199
-    11  1664.0  63.372618  ...  62.492442             62.061463
-    12  1792.0  72.983276  ...  72.047592             71.588687
-    13  1920.0  69.120002  ...  70.530615             70.530615
-    14  2048.0  73.908442  ...  76.959706             76.608294
-    15  2176.0  83.500614  ...  85.998493             85.632545
-    16  2304.0  68.446623  ...  76.809875             76.563695
-    17  2432.0  71.305746  ...  74.719317             84.367759
-    18  2560.0  77.833728  ...  80.709358             80.313727
-    19  2688.0  83.552988  ...  88.836198             89.676257
-    20  2816.0  84.035084  ...  83.552120             83.392363
-    21  2944.0  81.967162  ...  83.198715             81.298583
-    22  3072.0  81.943708  ...  89.170242             88.335577
-    23  3200.0  83.116885  ...  94.814812             94.395283
-    24  3328.0  82.275764  ...  84.895397             84.397770
-    25  3456.0  82.519518  ...  91.407671             88.304015
-    26  3584.0  86.540320  ...  87.548840             94.448944
-    27  3712.0  83.947349  ...  86.117243             87.590836
-    28  3840.0  83.465663  ...  84.679936             91.701494
-    29  3968.0  86.053553  ...  90.859224             85.932350
-    30  4096.0  93.271527  ...  88.359266             86.313653
+    11  1664.0  63.372618  ...  62.929456             62.061463
+    12  1792.0  72.983276  ...  72.512412             72.047592
+    13  1920.0  69.120002  ...  70.172588             70.530615
+    14  2048.0  73.908442  ...  76.608294             76.260072
+    15  2176.0  83.155572  ...  85.632545             85.269692
+    16  2304.0  68.251065  ...  77.307030             76.076024
+    17  2432.0  71.125224  ...  84.115159             84.621881
+    18  2560.0  78.019048  ...  81.108913             80.908642
+    19  2688.0  83.369354  ...  89.254248             88.011732
+    20  2816.0  81.218262  ...  83.873477             82.759409
+    21  2944.0  82.921853  ...  82.102191             82.237674
+    22  3072.0  81.238312  ...  88.060814             87.924073
+    23  3200.0  84.656085  ...  95.380032             95.522391
+    24  3328.0  82.939284  ...  84.003845             84.003845
+    25  3456.0  79.430113  ...  91.097818             87.536988
+    26  3584.0  86.540320  ...  94.747514             96.579370
+    27  3712.0  85.675250  ...  88.092894             87.629253
+    28  3840.0  83.465663  ...  84.354966             91.398346
+    29  3968.0  86.053553  ...  91.062642             86.849777
+    30  4096.0  93.142072  ...  83.468735             82.342167
 
     [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:** ( 6 minutes  28.869 seconds)
+   **Total running time of the script:** ( 6 minutes  33.543 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
diff --git a/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
index 728ad71e7..9281223ef 100644
--- a/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
+++ b/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -238,7 +238,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.016 seconds)
+   **Total running time of the script:** ( 0 minutes  0.365 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
diff --git a/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/_sources/getting-started/tutorials/sg_execution_times.rst.txt
index 1cc929f22..813d20066 100644
--- a/_sources/getting-started/tutorials/sg_execution_times.rst.txt
+++ b/_sources/getting-started/tutorials/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
 
 Computation times
 =================
-**11:51.052** total execution time for **getting-started_tutorials** files:
+**11:58.596** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:28.869 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:33.543 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:29.348 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:30.656 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:52.819 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:54.033 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.016 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.365 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/getting-started/tutorials/01-vector-add.html b/getting-started/tutorials/01-vector-add.html
index 013a5ffea..0fccb025f 100644
--- a/getting-started/tutorials/01-vector-add.html
+++ b/getting-started/tutorials/01-vector-add.html
@@ -333,12 +333,12 @@ for different problem sizes.</p>
 10    4194304.0  780.190482  780.190482
 11    8388608.0  812.429770  812.429770
 12   16777216.0  833.084721  833.084721
-13   33554432.0  842.004273  842.004273
+13   33554432.0  842.004273  843.811163
 14   67108864.0  847.448255  848.362445
 15  134217728.0  849.737435  850.656574
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  52.819 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  54.033 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/getting-started/tutorials/02-fused-softmax.html b/getting-started/tutorials/02-fused-softmax.html
index ea1faf845..03a55d642 100644
--- a/getting-started/tutorials/02-fused-softmax.html
+++ b/getting-started/tutorials/02-fused-softmax.html
@@ -373,17 +373,17 @@ 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   151.703707
-2     512.0  655.360017      606.814814   154.566038
-3     640.0  660.645170      640.000002   160.000000
-4     768.0  702.171410      664.216187   162.754967
+0     256.0  512.000001      546.133347   186.181817
+1     384.0  585.142862      585.142862   153.600004
+2     512.0  630.153853      606.814814   154.566038
+3     640.0  682.666684      640.000002   160.000000
+4     768.0  702.171410      664.216187   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  810.666687      405.755985   199.038365
-94  12288.0  810.754644      415.661740   199.197579
-95  12416.0  809.189387      412.149375   198.954424
+93  12160.0  810.666687      406.179533   199.038365
+94  12288.0  810.754644      415.881552   199.298541
+95  12416.0  809.189387      412.149375   198.904612
 96  12544.0  807.661970      412.971190   199.111113
-97  12672.0  807.776923      412.516771   199.167004
+97  12672.0  806.170993      412.097543   199.264875
 
 [98 rows x 4 columns]
 </pre></div>
@@ -396,7 +396,7 @@ 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  29.348 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  30.656 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/getting-started/tutorials/03-matrix-multiplication.html b/getting-started/tutorials/03-matrix-multiplication.html
index f24cd4add..5aa06665c 100644
--- a/getting-started/tutorials/03-matrix-multiplication.html
+++ b/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   2.730667  ...   2.978909              2.978909
+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
 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
+5    896.0  39.025776  ...  40.140799             39.025776
 6   1024.0  49.932191  ...  53.773130             52.428801
 7   1152.0  44.566925  ...  46.656000             45.938215
 8   1280.0  51.200001  ...  56.109587             56.109587
-9   1408.0  64.138541  ...  66.485074             66.485074
+9   1408.0  64.138541  ...  66.485074             65.684049
 10  1536.0  80.430545  ...  78.643199             78.643199
-11  1664.0  63.372618  ...  62.492442             62.061463
-12  1792.0  72.983276  ...  72.047592             71.588687
-13  1920.0  69.120002  ...  70.530615             70.530615
-14  2048.0  73.908442  ...  76.959706             76.608294
-15  2176.0  83.500614  ...  85.998493             85.632545
-16  2304.0  68.446623  ...  76.809875             76.563695
-17  2432.0  71.305746  ...  74.719317             84.367759
-18  2560.0  77.833728  ...  80.709358             80.313727
-19  2688.0  83.552988  ...  88.836198             89.676257
-20  2816.0  84.035084  ...  83.552120             83.392363
-21  2944.0  81.967162  ...  83.198715             81.298583
-22  3072.0  81.943708  ...  89.170242             88.335577
-23  3200.0  83.116885  ...  94.814812             94.395283
-24  3328.0  82.275764  ...  84.895397             84.397770
-25  3456.0  82.519518  ...  91.407671             88.304015
-26  3584.0  86.540320  ...  87.548840             94.448944
-27  3712.0  83.947349  ...  86.117243             87.590836
-28  3840.0  83.465663  ...  84.679936             91.701494
-29  3968.0  86.053553  ...  90.859224             85.932350
-30  4096.0  93.271527  ...  88.359266             86.313653
+11  1664.0  63.372618  ...  62.929456             62.061463
+12  1792.0  72.983276  ...  72.512412             72.047592
+13  1920.0  69.120002  ...  70.172588             70.530615
+14  2048.0  73.908442  ...  76.608294             76.260072
+15  2176.0  83.155572  ...  85.632545             85.269692
+16  2304.0  68.251065  ...  77.307030             76.076024
+17  2432.0  71.125224  ...  84.115159             84.621881
+18  2560.0  78.019048  ...  81.108913             80.908642
+19  2688.0  83.369354  ...  89.254248             88.011732
+20  2816.0  81.218262  ...  83.873477             82.759409
+21  2944.0  82.921853  ...  82.102191             82.237674
+22  3072.0  81.238312  ...  88.060814             87.924073
+23  3200.0  84.656085  ...  95.380032             95.522391
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