[GH-PAGES] Updated website

master/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: c1f3df530213277e4c2123a4a783c6ee
+config: cc0012e3207dc8df65f11c3d82cd0812
 tags: 645f666f9bcd5a90fca523b33c5a78b7

master/_sources/getting-started/tutorials/01-vector-add.rst.txt

@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  44.163 seconds)
+   **Total running time of the script:** ( 1 minutes  43.406 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt

@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N      Triton  Torch (native)  Torch (jit)
-    0     256.0  512.000001      512.000001   182.044442
-    1     384.0  614.400016      585.142862   153.600004
-    2     512.0  655.360017      585.142849   154.566038
-    3     640.0  682.666684      640.000002   158.759699
-    4     768.0  722.823517      664.216187   162.754967
+    0     256.0  546.133347      546.133347   186.181817
+    1     384.0  585.142862      585.142862   151.703707
+    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   163.839992
     ..      ...         ...             ...          ...
-    93  12160.0  812.359066      406.179533   198.530610
-    94  12288.0  812.429770      415.661740   198.794749
-    95  12416.0  812.498981      412.149375   198.457532
-    96  12544.0  812.566838      412.546756   198.716830
-    97  12672.0  812.633240      412.097543   198.776477
+    93  12160.0  812.359066      405.333344   199.038365
+    94  12288.0  812.429770      415.222812   199.197579
+    95  12416.0  812.498981      411.296057   198.954424
+    96  12544.0  810.925276      412.546756   199.111113
+    97  12672.0  811.007961      412.097543   199.264875
 
     [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  24.461 seconds)
+   **Total running time of the script:** ( 3 minutes  22.745 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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   2.730667  ...   2.978909              2.978909
-    1    384.0   7.372800  ...   7.899428              7.899428
+    0    256.0   2.730667  ...   2.978909              3.276800
+    1    384.0   7.372800  ...   8.507077              8.507077
     2    512.0  14.563555  ...  15.420235             15.420235
     3    640.0  22.260869  ...  24.380953             24.380953
-    4    768.0  32.768000  ...  34.028308             34.028308
+    4    768.0  32.768000  ...  35.389441             34.028308
     5    896.0  37.971025  ...  41.321411             39.025776
     6   1024.0  49.932191  ...  53.773130             52.428801
     7   1152.0  45.242181  ...  48.161033             47.396572
     8   1280.0  51.200001  ...  57.690139             57.690139
     9   1408.0  64.138541  ...  68.147202             67.305878
-    10  1536.0  79.526831  ...  80.430545             78.643199
-    11  1664.0  63.372618  ...  63.372618             62.061463
-    12  1792.0  72.983276  ...  63.499573             62.790080
-    13  1920.0  68.776119  ...  71.257735             70.892307
+    10  1536.0  80.430545  ...  80.430545             78.643199
+    11  1664.0  62.929456  ...  63.372618             62.492442
+    12  1792.0  72.983276  ...  63.499573             63.142831
+    13  1920.0  69.120002  ...  71.257735             70.892307
     14  2048.0  73.262953  ...  78.033565             76.959706
     15  2176.0  83.155572  ...  87.115360             85.632545
-    16  2304.0  68.643310  ...  78.064941             76.809875
-    17  2432.0  71.125224  ...  75.522751             74.521127
-    18  2560.0  77.833728  ...  82.331658             81.310171
-    19  2688.0  83.737433  ...  90.966561             89.464755
-    20  2816.0  83.712490  ...  84.523664             83.392363
-    21  2944.0  82.373605  ...  84.324925             83.899046
-    22  3072.0  80.890151  ...  88.335577             79.526831
-    23  3200.0  83.989503  ...  96.530922             93.979441
-    24  3328.0  83.808259  ...  86.736504             86.113988
-    25  3456.0  80.380430  ...  92.138932             89.679166
-    26  3584.0  88.152348  ...  92.505546             95.451583
-    27  3712.0  82.423549  ...  87.706180             87.170458
-    28  3840.0  84.292684  ...  92.275341             86.943395
-    29  3968.0  91.816356  ...  87.035620             90.054568
-    30  4096.0  91.867031  ...  93.924229             87.896352
+    16  2304.0  68.251065  ...  78.064941             76.809875
+    17  2432.0  71.305746  ...  75.522751             74.521127
+    18  2560.0  77.833728  ...  82.125311             81.512437
+    19  2688.0  84.108772  ...  90.316801             90.102270
+    20  2816.0  79.154642  ...  84.197315             82.602666
+    21  2944.0  82.237674  ...  83.477440             83.060049
+    22  3072.0  82.301023  ...  90.020831             88.060814
+    23  3200.0  83.934428  ...  96.385543             94.534716
+    24  3328.0  83.226931  ...  86.424125             85.398926
+    25  3456.0  81.026701  ...  87.632137             90.687926
+    26  3584.0  87.296493  ...  99.905993             98.160909
+    27  3712.0  83.178475  ...  89.194055             85.675250
+    28  3840.0  83.781816  ...  92.236860             85.103501
+    29  3968.0  91.850912  ...  87.945181             90.321193
+    30  4096.0  87.495257  ...  90.412750             92.755862
 
     [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  11.431 seconds)
+   **Total running time of the script:** ( 6 minutes  7.264 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt

@@ -240,7 +240,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.486 seconds)
+   **Total running time of the script:** ( 0 minutes  0.499 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

master/_sources/getting-started/tutorials/05-layer-norm.rst.txt

@@ -40,34 +40,34 @@ Layer Normalization
               N      Triton       Torch        Apex
     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
+    2    2048.0  668.734716  337.814445  528.516136
     3    2560.0  694.237267  362.477870  512.000013
-    4    3072.0  712.347810  375.206126  501.551037
-    5    3584.0  725.873439  384.859062  458.751978
+    4    3072.0  712.347810  378.092307  501.551037
+    5    3584.0  725.873439  384.859062  462.451619
     6    4096.0  728.177767  381.023256  458.293714
-    7    4608.0  670.254540  394.267384  426.173427
-    8    5120.0  688.403381  397.669909  426.666652
-    9    5632.0  704.000002  395.228063  413.357796
-    10   6144.0  702.171410  402.885254  411.313806
-    11   6656.0  705.271522  398.861429  398.861429
-    12   7168.0  695.078767  396.844306  387.459443
-    13   7680.0  682.666656  392.587863  386.415087
-    14   8192.0  642.509816  392.431125  372.363633
-    15   8704.0  630.153861  389.005597  380.502740
-    16   9216.0  609.322328  407.337026  383.999986
-    17   9728.0  589.575753  409.599987  382.427505
-    18  10240.0  568.888869  408.578556  382.803739
-    19  10752.0  551.384634  411.559798  381.445676
-    20  11264.0  536.380957  406.826188  373.134567
-    21  11776.0  523.377770  409.599991  377.587162
-    22  12288.0  517.389457  413.911572  382.505826
-    23  12800.0  505.679014  410.420828  376.470582
-    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  374.712936
-    28  15360.0  454.269882  406.214870  377.801688
-    29  15872.0  447.098578  406.974373  376.225175
+    7    4608.0  670.254540  396.387087  423.724136
+    8    5120.0  688.403381  397.669909  422.268057
+    9    5632.0  704.000002  396.969169  411.470331
+    10   6144.0  707.223041  402.885254  409.600010
+    11   6656.0  700.631610  400.360920  398.861429
+    12   7168.0  695.078767  388.772874  386.154893
+    13   7680.0  682.666656  392.587863  385.203746
+    14   8192.0  639.375598  392.431125  377.729113
+    15   8704.0  630.153861  394.515569  380.502740
+    16   9216.0  609.322328  403.989025  383.002605
+    17   9728.0  591.817503  408.524944  382.427505
+    18  10240.0  570.871075  408.578556  381.911416
+    19  10752.0  551.384634  411.559798  380.601764
+    20  11264.0  537.982106  404.089694  374.686074
+    21  11776.0  524.835658  409.599991  378.345375
+    22  12288.0  518.754611  413.911572  383.251457
+    23  12800.0  505.679014  410.420828  377.163903
+    24  13312.0  495.330249  404.927765  376.976995
+    25  13824.0  482.934503  410.359948  378.739711
+    26  14336.0  471.967074  397.532043  372.969090
+    27  14848.0  461.297068  403.341254  375.304904
+    28  15360.0  454.269882  406.887417  378.092307
+    29  15872.0  447.098578  409.599996  377.343238
 
 
 
@@ -389,7 +389,7 @@ Layer Normalization
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  21.651 seconds)
+   **Total running time of the script:** ( 5 minutes  23.495 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

master/_sources/getting-started/tutorials/sg_execution_times.rst.txt

@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**16:42.191** total execution time for **getting-started_tutorials** files:
+**16:37.409** total execution time for **getting-started_tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:11.431 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:07.264 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:21.651 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``)                       | 05:23.495 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:24.461 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``)                 | 03:22.745 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:44.163 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``)                       | 01:43.406 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.486 | 0.0 MB |
+| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``)       | 00:00.499 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------+-----------+--------+

master/getting-started/tutorials/01-vector-add.html

@@ -340,7 +340,7 @@ 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  44.163 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.406 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>

master/getting-started/tutorials/02-fused-softmax.html

@@ -369,17 +369,17 @@ 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      512.000001   182.044442
-1     384.0  614.400016      585.142862   153.600004
-2     512.0  655.360017      585.142849   154.566038
-3     640.0  682.666684      640.000002   158.759699
-4     768.0  722.823517      664.216187   162.754967
+0     256.0  546.133347      546.133347   186.181817
+1     384.0  585.142862      585.142862   151.703707
+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   163.839992
 ..      ...         ...             ...          ...
-93  12160.0  812.359066      406.179533   198.530610
-94  12288.0  812.429770      415.661740   198.794749
-95  12416.0  812.498981      412.149375   198.457532
-96  12544.0  812.566838      412.546756   198.716830
-97  12672.0  812.633240      412.097543   198.776477
+93  12160.0  812.359066      405.333344   199.038365
+94  12288.0  812.429770      415.222812   199.197579
+95  12416.0  812.498981      411.296057   198.954424
+96  12544.0  810.925276      412.546756   199.111113
+97  12672.0  811.007961      412.097543   199.264875
 
 [98 rows x 4 columns]
 </pre></div>
@@ -392,7 +392,7 @@ 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  24.461 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  22.745 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>

master/getting-started/tutorials/03-matrix-multiplication.html

@@ -565,42 +565,42 @@ 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  ...   7.899428              7.899428
+0    256.0   2.730667  ...   2.978909              3.276800
+1    384.0   7.372800  ...   8.507077              8.507077
 2    512.0  14.563555  ...  15.420235             15.420235
 3    640.0  22.260869  ...  24.380953             24.380953
-4    768.0  32.768000  ...  34.028308             34.028308
+4    768.0  32.768000  ...  35.389441             34.028308
 5    896.0  37.971025  ...  41.321411             39.025776
 6   1024.0  49.932191  ...  53.773130             52.428801
 7   1152.0  45.242181  ...  48.161033             47.396572
 8   1280.0  51.200001  ...  57.690139             57.690139
 9   1408.0  64.138541  ...  68.147202             67.305878
-10  1536.0  79.526831  ...  80.430545             78.643199
-11  1664.0  63.372618  ...  63.372618             62.061463
-12  1792.0  72.983276  ...  63.499573             62.790080
-13  1920.0  68.776119  ...  71.257735             70.892307
+10  1536.0  80.430545  ...  80.430545             78.643199
+11  1664.0  62.929456  ...  63.372618             62.492442
+12  1792.0  72.983276  ...  63.499573             63.142831
+13  1920.0  69.120002  ...  71.257735             70.892307
 14  2048.0  73.262953  ...  78.033565             76.959706
 15  2176.0  83.155572  ...  87.115360             85.632545
-16  2304.0  68.643310  ...  78.064941             76.809875
-17  2432.0  71.125224  ...  75.522751             74.521127
-18  2560.0  77.833728  ...  82.331658             81.310171
-19  2688.0  83.737433  ...  90.966561             89.464755
-20  2816.0  83.712490  ...  84.523664             83.392363
-21  2944.0  82.373605  ...  84.324925             83.899046
-22  3072.0  80.890151  ...  88.335577             79.526831
-23  3200.0  83.989503  ...  96.530922             93.979441
-24  3328.0  83.808259  ...  86.736504             86.113988
-25  3456.0  80.380430  ...  92.138932             89.679166
-26  3584.0  88.152348  ...  92.505546             95.451583
-27  3712.0  82.423549  ...  87.706180             87.170458
-28  3840.0  84.292684  ...  92.275341             86.943395
-29  3968.0  91.816356  ...  87.035620             90.054568
-30  4096.0  91.867031  ...  93.924229             87.896352
+16  2304.0  68.251065  ...  78.064941             76.809875
+17  2432.0  71.305746  ...  75.522751             74.521127
+18  2560.0  77.833728  ...  82.125311             81.512437
+19  2688.0  84.108772  ...  90.316801             90.102270
+20  2816.0  79.154642  ...  84.197315             82.602666
+21  2944.0  82.237674  ...  83.477440             83.060049
+22  3072.0  82.301023  ...  90.020831             88.060814
+23  3200.0  83.934428  ...  96.385543             94.534716
+24  3328.0  83.226931  ...  86.424125             85.398926
+25  3456.0  81.026701  ...  87.632137             90.687926
+26  3584.0  87.296493  ...  99.905993             98.160909
+27  3712.0  83.178475  ...  89.194055             85.675250
+28  3840.0  83.781816  ...  92.236860             85.103501
+29  3968.0  91.850912  ...  87.945181             90.321193
+30  4096.0  87.495257  ...  90.412750             92.755862
 
 [31 rows x 5 columns]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes  11.431 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes  7.264 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>

master/getting-started/tutorials/04-low-memory-dropout.html

@@ -372,7 +372,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
 <dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
 </dd>
 </dl>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.486 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.499 seconds)</p>
 <div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">04-low-memory-dropout.py</span></code></a></p>

master/getting-started/tutorials/05-layer-norm.html

@@ -196,34 +196,34 @@ to download the full example code</p>
           N      Triton       Torch        Apex
 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
+2    2048.0  668.734716  337.814445  528.516136
 3    2560.0  694.237267  362.477870  512.000013
-4    3072.0  712.347810  375.206126  501.551037
-5    3584.0  725.873439  384.859062  458.751978
+4    3072.0  712.347810  378.092307  501.551037
+5    3584.0  725.873439  384.859062  462.451619
 6    4096.0  728.177767  381.023256  458.293714
-7    4608.0  670.254540  394.267384  426.173427
-8    5120.0  688.403381  397.669909  426.666652
-9    5632.0  704.000002  395.228063  413.357796
-10   6144.0  702.171410  402.885254  411.313806
-11   6656.0  705.271522  398.861429  398.861429
-12   7168.0  695.078767  396.844306  387.459443
-13   7680.0  682.666656  392.587863  386.415087
-14   8192.0  642.509816  392.431125  372.363633
-15   8704.0  630.153861  389.005597  380.502740
-16   9216.0  609.322328  407.337026  383.999986
-17   9728.0  589.575753  409.599987  382.427505
-18  10240.0  568.888869  408.578556  382.803739
-19  10752.0  551.384634  411.559798  381.445676
-20  11264.0  536.380957  406.826188  373.134567
-21  11776.0  523.377770  409.599991  377.587162
-22  12288.0  517.389457  413.911572  382.505826
-23  12800.0  505.679014  410.420828  376.470582
-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  374.712936
-28  15360.0  454.269882  406.214870  377.801688
-29  15872.0  447.098578  406.974373  376.225175
+7    4608.0  670.254540  396.387087  423.724136
+8    5120.0  688.403381  397.669909  422.268057
+9    5632.0  704.000002  396.969169  411.470331
+10   6144.0  707.223041  402.885254  409.600010
+11   6656.0  700.631610  400.360920  398.861429
+12   7168.0  695.078767  388.772874  386.154893
+13   7680.0  682.666656  392.587863  385.203746
+14   8192.0  639.375598  392.431125  377.729113
+15   8704.0  630.153861  394.515569  380.502740
+16   9216.0  609.322328  403.989025  383.002605
+17   9728.0  591.817503  408.524944  382.427505
+18  10240.0  570.871075  408.578556  381.911416
+19  10752.0  551.384634  411.559798  380.601764
+20  11264.0  537.982106  404.089694  374.686074
+21  11776.0  524.835658  409.599991  378.345375
+22  12288.0  518.754611  413.911572  383.251457
+23  12800.0  505.679014  410.420828  377.163903
+24  13312.0  495.330249  404.927765  376.976995
+25  13824.0  482.934503  410.359948  378.739711
+26  14336.0  471.967074  397.532043  372.969090
+27  14848.0  461.297068  403.341254  375.304904
+28  15360.0  454.269882  406.887417  378.092307
+29  15872.0  447.098578  409.599996  377.343238
 </pre></div>
 </div>
 <div class="line-block">
@@ -537,7 +537,7 @@ 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>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  21.651 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes  23.495 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">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <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>

master/getting-started/tutorials/sg_execution_times.html

@@ -174,7 +174,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-getting-started-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>16:42.191</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
+<p><strong>16:37.409</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 85%" />
@@ -183,23 +183,23 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
-<td><p>06:11.431</p></td>
+<td><p>06:07.264</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <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>
-<td><p>05:21.651</p></td>
+<td><p>05:23.495</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="02-fused-softmax.html#sphx-glr-getting-started-tutorials-02-fused-softmax-py"><span class="std std-ref">Fused Softmax</span></a> (<code class="docutils literal notranslate"><span class="pre">02-fused-softmax.py</span></code>)</p></td>
-<td><p>03:24.461</p></td>
+<td><p>03:22.745</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <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>
-<td><p>01:44.163</p></td>
+<td><p>01:43.406</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="04-low-memory-dropout.html#sphx-glr-getting-started-tutorials-04-low-memory-dropout-py"><span class="std std-ref">Low-Memory Dropout</span></a> (<code class="docutils literal notranslate"><span class="pre">04-low-memory-dropout.py</span></code>)</p></td>
-<td><p>00:00.486</p></td>
+<td><p>00:00.499</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>

v1.1.2/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: fdbd92c8bf7135b307f4c89a31b99abf
+config: 06c869414f059010a88bc359fc3d884a
 tags: 645f666f9bcd5a90fca523b33c5a78b7