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diff --git a/main/.doctrees/environment.pickle b/main/.doctrees/environment.pickle
diff --git a/main/.doctrees/getting-started/tutorials/01-vector-add.doctree b/main/.doctrees/getting-started/tutorials/01-vector-add.doctree
diff --git a/main/.doctrees/getting-started/tutorials/02-fused-softmax.doctree b/main/.doctrees/getting-started/tutorials/02-fused-softmax.doctree
diff --git a/main/.doctrees/getting-started/tutorials/03-matrix-multiplication.doctree b/main/.doctrees/getting-started/tutorials/03-matrix-multiplication.doctree
diff --git a/main/.doctrees/getting-started/tutorials/04-low-memory-dropout.doctree b/main/.doctrees/getting-started/tutorials/04-low-memory-dropout.doctree
diff --git a/main/.doctrees/getting-started/tutorials/05-layer-norm.doctree b/main/.doctrees/getting-started/tutorials/05-layer-norm.doctree
diff --git a/main/.doctrees/getting-started/tutorials/06-fused-attention.doctree b/main/.doctrees/getting-started/tutorials/06-fused-attention.doctree
diff --git a/main/.doctrees/getting-started/tutorials/07-extern-functions.doctree b/main/.doctrees/getting-started/tutorials/07-extern-functions.doctree
diff --git a/main/.doctrees/getting-started/tutorials/08-grouped-gemm.doctree b/main/.doctrees/getting-started/tutorials/08-grouped-gemm.doctree
diff --git a/main/.doctrees/getting-started/tutorials/09-persistent-matmul.doctree b/main/.doctrees/getting-started/tutorials/09-persistent-matmul.doctree
diff --git a/main/.doctrees/getting-started/tutorials/10-block-scaled-matmul.doctree b/main/.doctrees/getting-started/tutorials/10-block-scaled-matmul.doctree
diff --git a/main/.doctrees/getting-started/tutorials/sg_execution_times.doctree b/main/.doctrees/getting-started/tutorials/sg_execution_times.doctree
diff --git a/main/.doctrees/sg_execution_times.doctree b/main/.doctrees/sg_execution_times.doctree
diff --git a/main/_downloads/032b2a144fc26b286cf422d1aecab3b6/05-layer-norm.zip b/main/_downloads/032b2a144fc26b286cf422d1aecab3b6/05-layer-norm.zip
diff --git a/main/_downloads/3790c08ba249d4a4a4e22801792cc0e1/10-block-scaled-matmul.zip b/main/_downloads/3790c08ba249d4a4a4e22801792cc0e1/10-block-scaled-matmul.zip
diff --git a/main/_downloads/3cf54e8aaddcfce69d180b77518fd544/07-extern-functions.zip b/main/_downloads/3cf54e8aaddcfce69d180b77518fd544/07-extern-functions.zip
diff --git a/main/_downloads/4e511f795844d864249b83f016d8ce09/01-vector-add.zip b/main/_downloads/4e511f795844d864249b83f016d8ce09/01-vector-add.zip
diff --git a/main/_downloads/509ee5615f08cb2e7336a73c0511fba2/06-fused-attention.zip b/main/_downloads/509ee5615f08cb2e7336a73c0511fba2/06-fused-attention.zip
diff --git a/main/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip b/main/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip
diff --git a/main/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip b/main/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip
diff --git a/main/_downloads/9241eab99db7582ceb6cd81f77524214/04-low-memory-dropout.zip b/main/_downloads/9241eab99db7582ceb6cd81f77524214/04-low-memory-dropout.zip
diff --git a/main/_downloads/a13fad8f9b954e9e27a17a2c27aee1b8/09-persistent-matmul.zip b/main/_downloads/a13fad8f9b954e9e27a17a2c27aee1b8/09-persistent-matmul.zip
diff --git a/main/_downloads/d74d81ab958b2efbd334253f48cdb202/03-matrix-multiplication.zip b/main/_downloads/d74d81ab958b2efbd334253f48cdb202/03-matrix-multiplication.zip
diff --git a/main/_downloads/f66de4fbee2c4ba20b6f7f3ae99f7de3/02-fused-softmax.zip b/main/_downloads/f66de4fbee2c4ba20b6f7f3ae99f7de3/02-fused-softmax.zip
diff --git a/main/_downloads/fecddac383ee03c4c47e2cf2ec91448a/08-grouped-gemm.zip b/main/_downloads/fecddac383ee03c4c47e2cf2ec91448a/08-grouped-gemm.zip
diff --git a/main/_images/sphx_glr_01-vector-add_001.png b/main/_images/sphx_glr_01-vector-add_001.png
diff --git a/main/_images/sphx_glr_01-vector-add_thumb.png b/main/_images/sphx_glr_01-vector-add_thumb.png
diff --git a/main/_images/sphx_glr_02-fused-softmax_001.png b/main/_images/sphx_glr_02-fused-softmax_001.png
diff --git a/main/_images/sphx_glr_02-fused-softmax_thumb.png b/main/_images/sphx_glr_02-fused-softmax_thumb.png
diff --git a/main/_images/sphx_glr_03-matrix-multiplication_001.png b/main/_images/sphx_glr_03-matrix-multiplication_001.png
diff --git a/main/_images/sphx_glr_03-matrix-multiplication_002.png b/main/_images/sphx_glr_03-matrix-multiplication_002.png
diff --git a/main/_images/sphx_glr_03-matrix-multiplication_thumb.png b/main/_images/sphx_glr_03-matrix-multiplication_thumb.png
diff --git a/main/_images/sphx_glr_05-layer-norm_001.png b/main/_images/sphx_glr_05-layer-norm_001.png
diff --git a/main/_images/sphx_glr_05-layer-norm_thumb.png b/main/_images/sphx_glr_05-layer-norm_thumb.png
diff --git a/main/_images/sphx_glr_06-fused-attention_001.png b/main/_images/sphx_glr_06-fused-attention_001.png
diff --git a/main/_images/sphx_glr_06-fused-attention_002.png b/main/_images/sphx_glr_06-fused-attention_002.png
diff --git a/main/_images/sphx_glr_06-fused-attention_003.png b/main/_images/sphx_glr_06-fused-attention_003.png
diff --git a/main/_images/sphx_glr_06-fused-attention_thumb.png b/main/_images/sphx_glr_06-fused-attention_thumb.png
diff --git a/main/_images/sphx_glr_08-grouped-gemm_001.png b/main/_images/sphx_glr_08-grouped-gemm_001.png
diff --git a/main/_images/sphx_glr_08-grouped-gemm_thumb.png b/main/_images/sphx_glr_08-grouped-gemm_thumb.png
diff --git a/main/_sources/getting-started/tutorials/01-vector-add.rst.txt b/main/_sources/getting-started/tutorials/01-vector-add.rst.txt
@@ -232,16 +232,16 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
 
     vector-add-performance:
                size       Triton        Torch
-    0        4096.0     8.000000     9.600000
-    1        8192.0    15.999999    19.200000
+    0        4096.0     9.600000     8.000000
+    1        8192.0    15.999999    15.999999
     2       16384.0    31.999999    31.999999
     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   384.000001
     7      524288.0   614.400016   614.400016
     8     1048576.0   819.200021   819.200021
-    9     2097152.0  1023.999964  1023.999964
+    9     2097152.0  1068.521715  1023.999964
     10    4194304.0  1260.307736  1228.800031
     11    8388608.0  1424.695621  1424.695621
     12   16777216.0  1560.380965  1560.380965
@@ -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:** (0 minutes 13.070 seconds)
+   **Total running time of the script:** (0 minutes 7.463 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

diff --git a/main/_sources/getting-started/tutorials/02-fused-softmax.rst.txt b/main/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
@@ -321,104 +321,104 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N       Triton        Torch
-    0     256.0   469.946288   710.308845
-    1     384.0   618.704045   809.746336
-    2     512.0   752.922502   922.805156
-    3     640.0   819.907826   963.302139
-    4     768.0   894.447136  1028.546467
-    5     896.0   954.649807  1063.465045
-    6    1024.0  1012.074935  1114.983021
-    7    1152.0  1101.273349   612.047585
-    8    1280.0  1151.075758   670.071183
-    9    1408.0  1169.910943   726.104761
-    10   1536.0  1195.890300   785.710270
-    11   1664.0  1211.555935   814.837377
-    12   1792.0  1242.741656   857.122088
-    13   1920.0  1249.937570   910.064099
-    14   2048.0  1272.047724   959.942016
-    15   2176.0  1246.656268   978.669237
-    16   2304.0  1245.498904  1013.679554
-    17   2432.0  1278.756538  1059.384251
-    18   2560.0  1292.095002  1083.922379
-    19   2688.0  1299.233504  1106.395640
-    20   2816.0  1306.581823  1134.858188
-    21   2944.0  1316.631079  1168.587696
-    22   3072.0  1334.887985  1183.186196
-    23   3200.0  1331.321344  1193.199071
-    24   3328.0  1344.742035  1223.357140
-    25   3456.0  1358.159046  1250.844375
-    26   3584.0  1356.612262  1258.225136
-    27   3712.0  1371.009649  1270.111437
-    28   3840.0  1371.026691  1302.301051
-    29   3968.0  1375.546013  1318.991348
-    30   4096.0  1379.139642  1325.363437
-    31   4224.0  1335.989912  1163.638550
-    32   4352.0  1337.175969  1174.476135
-    33   4480.0  1350.055821  1178.891977
-    34   4608.0  1365.190499  1195.634570
-    35   4736.0  1365.197042  1200.979387
-    36   4864.0  1372.251295  1220.069753
-    37   4992.0  1373.863844  1235.378960
-    38   5120.0  1373.508977  1253.588556
-    39   5248.0  1376.787031  1259.238777
-    40   5376.0  1381.831669  1285.839631
-    41   5504.0  1378.231091  1301.258271
-    42   5632.0  1383.384294  1313.999706
-    43   5760.0  1395.145390  1323.204534
-    44   5888.0  1391.486744  1340.780451
-    45   6016.0  1403.463443  1354.787496
-    46   6144.0  1412.592500  1372.859964
-    47   6272.0  1416.343910  1375.618625
-    48   6400.0  1419.268610  1390.403354
-    49   6528.0  1418.429610  1396.495341
-    50   6656.0  1420.491258  1402.071777
-    51   6784.0  1413.095922  1416.153509
-    52   6912.0  1428.636195  1424.883269
-    53   7040.0  1420.957508  1430.831842
-    54   7168.0  1426.314732  1435.528848
-    55   7296.0  1431.994474  1445.040929
-    56   7424.0  1429.175817  1447.328793
-    57   7552.0  1424.667269  1453.964745
-    58   7680.0  1434.812226  1461.651138
-    59   7808.0  1434.036713  1465.445063
-    60   7936.0  1434.757072  1469.114902
-    61   8064.0  1438.355135  1471.969797
-    62   8192.0  1436.266924  1486.568200
-    63   8320.0  1382.234137  1403.300604
-    64   8448.0  1377.273010  1405.125874
-    65   8576.0  1390.777590  1397.643364
-    66   8704.0  1387.958403  1400.658652
-    67   8832.0  1378.447554  1404.758350
-    68   8960.0  1390.880112  1413.176001
-    69   9088.0  1403.850958  1417.075702
-    70   9216.0  1394.707696  1425.860563
-    71   9344.0  1394.255987  1424.392213
-    72   9472.0  1394.414552  1436.484603
-    73   9600.0  1388.909473  1433.340381
-    74   9728.0  1393.728487  1439.451039
-    75   9856.0  1411.427755  1443.391620
-    76   9984.0  1395.337534  1449.176029
-    77  10112.0  1410.735999  1457.785338
-    78  10240.0  1414.323449  1465.422663
-    79  10368.0  1411.326475  1464.048878
-    80  10496.0  1413.592611  1463.846114
-    81  10624.0  1412.471989  1468.755747
-    82  10752.0  1399.212573  1474.500528
-    83  10880.0  1394.434574  1477.324217
-    84  11008.0  1415.217085  1479.692707
-    85  11136.0  1418.948518  1484.118528
-    86  11264.0  1425.125279  1488.043324
-    87  11392.0  1413.831451  1492.337949
-    88  11520.0  1418.260144  1496.033934
-    89  11648.0  1422.679999  1496.709099
-    90  11776.0  1420.125965  1502.713854
-    91  11904.0  1437.975155  1509.003819
-    92  12032.0  1421.591125  1507.611009
-    93  12160.0  1415.221175  1510.628015
-    94  12288.0  1428.841904  1394.316172
-    95  12416.0  1445.683081  1390.838175
-    96  12544.0  1436.072004  1390.679687
-    97  12672.0  1447.066932  1393.721848
+    0     256.0   468.788466   683.853900
+    1     384.0   607.838714   806.988986
+    2     512.0   758.840606   932.182371
+    3     640.0   823.143912   956.080803
+    4     768.0   893.529459  1023.330277
+    5     896.0   948.606067  1060.412716
+    6    1024.0   998.230457  1107.962810
+    7    1152.0  1103.776731   614.774875
+    8    1280.0  1138.242715   665.342915
+    9    1408.0  1165.508826   724.806027
+    10   1536.0  1193.801473   782.966685
+    11   1664.0  1210.023152   812.228640
+    12   1792.0  1234.656324   860.351789
+    13   1920.0  1255.762705   909.346111
+    14   2048.0  1282.311097   955.395159
+    15   2176.0  1235.812542   976.754764
+    16   2304.0  1249.431931  1006.478927
+    17   2432.0  1273.701243  1056.842706
+    18   2560.0  1286.088050  1086.055953
+    19   2688.0  1286.816345  1100.649322
+    20   2816.0  1302.423578  1132.452796
+    21   2944.0  1312.830828  1163.398911
+    22   3072.0  1331.143574  1185.217709
+    23   3200.0  1335.321668  1194.882215
+    24   3328.0  1347.553844  1226.105259
+    25   3456.0  1357.019364  1249.679927
+    26   3584.0  1349.588940  1256.363043
+    27   3712.0  1366.995618  1265.738743
+    28   3840.0  1373.451471  1299.364468
+    29   3968.0  1372.503695  1313.684212
+    30   4096.0  1378.124152  1327.859068
+    31   4224.0  1333.785758  1159.474743
+    32   4352.0  1332.027326  1172.135968
+    33   4480.0  1353.176112  1181.334472
+    34   4608.0  1366.828387  1197.381111
+    35   4736.0  1359.698531  1194.759714
+    36   4864.0  1376.782063  1222.610593
+    37   4992.0  1369.791743  1234.638250
+    38   5120.0  1377.111253  1248.372725
+    39   5248.0  1375.257637  1261.119132
+    40   5376.0  1382.036181  1287.259897
+    41   5504.0  1378.804520  1295.254342
+    42   5632.0  1388.187271  1311.202485
+    43   5760.0  1391.706526  1328.569019
+    44   5888.0  1393.864887  1343.443760
+    45   6016.0  1398.927630  1353.429658
+    46   6144.0  1408.510431  1377.510878
+    47   6272.0  1419.989868  1375.958474
+    48   6400.0  1414.184230  1391.196994
+    49   6528.0  1410.080859  1392.871409
+    50   6656.0  1421.557759  1403.407037
+    51   6784.0  1412.214582  1415.810744
+    52   6912.0  1425.787180  1424.368002
+    53   7040.0  1419.243591  1433.497559
+    54   7168.0  1429.536107  1436.298748
+    55   7296.0  1430.396786  1443.755975
+    56   7424.0  1424.718122  1443.231194
+    57   7552.0  1428.191581  1453.746622
+    58   7680.0  1435.880955  1458.840617
+    59   7808.0  1428.258671  1467.327792
+    60   7936.0  1440.026486  1469.906596
+    61   8064.0  1436.702429  1476.263939
+    62   8192.0  1437.130405  1484.226037
+    63   8320.0  1381.126612  1401.421766
+    64   8448.0  1377.816446  1400.653732
+    65   8576.0  1389.946171  1394.114779
+    66   8704.0  1384.948687  1401.467763
+    67   8832.0  1380.978407  1402.247509
+    68   8960.0  1390.479510  1411.903570
+    69   9088.0  1402.418922  1418.259845
+    70   9216.0  1399.682451  1425.525052
+    71   9344.0  1396.733508  1421.030202
+    72   9472.0  1397.098001  1436.210431
+    73   9600.0  1394.068470  1435.488421
+    74   9728.0  1395.773700  1443.221959
+    75   9856.0  1408.602644  1442.543686
+    76   9984.0  1395.386867  1450.979983
+    77  10112.0  1406.416581  1456.578173
+    78  10240.0  1413.053573  1469.313286
+    79  10368.0  1407.302888  1459.985490
+    80  10496.0  1407.177567  1465.548904
+    81  10624.0  1404.219485  1467.266819
+    82  10752.0  1403.562762  1474.148866
+    83  10880.0  1393.876308  1483.679013
+    84  11008.0  1416.355724  1476.518629
+    85  11136.0  1420.307517  1486.799193
+    86  11264.0  1426.086208  1486.535495
+    87  11392.0  1413.580606  1489.809625
+    88  11520.0  1418.975316  1493.034789
+    89  11648.0  1420.107245  1498.293644
+    90  11776.0  1425.916484  1500.826487
+    91  11904.0  1439.274567  1508.878942
+    92  12032.0  1421.952768  1508.141071
+    93  12160.0  1412.860754  1513.664929
+    94  12288.0  1426.857553  1391.418097
+    95  12416.0  1445.831844  1388.985988
+    96  12544.0  1435.622670  1392.536315
+    97  12672.0  1443.385321  1394.795655
 
 
 
@@ -433,7 +433,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 23.189 seconds)
+   **Total running time of the script:** (0 minutes 23.183 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

diff --git a/main/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt b/main/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
@@ -572,39 +572,39 @@ but feel free to arrange this script as you wish to benchmark any other matrix s
     matmul-performance-fp16:
              M       N       K      cuBLAS      Triton
     0    256.0   256.0   256.0    4.096000    4.096000
-    1    384.0   384.0   384.0   12.288000   12.288000
+    1    384.0   384.0   384.0   11.059200   12.288000
     2    512.0   512.0   512.0   26.214401   26.214401
     3    640.0   640.0   640.0   42.666665   42.666665
     4    768.0   768.0   768.0   63.195428   63.195428
-    5    896.0   896.0   896.0   78.051553   87.808000
-    6   1024.0  1024.0  1024.0  104.857603   99.864382
+    5    896.0   896.0   896.0   78.051553   93.661869
+    6   1024.0  1024.0  1024.0  104.857603   95.325090
     7   1152.0  1152.0  1152.0  135.726544  119.439363
     8   1280.0  1280.0  1280.0  157.538463  151.703703
     9   1408.0  1408.0  1408.0  155.765024  132.970149
     10  1536.0  1536.0  1536.0  176.947204  153.867127
     11  1664.0  1664.0  1664.0  183.651271  173.056002
-    12  1792.0  1792.0  1792.0  172.914215  200.703997
-    13  1920.0  1920.0  1920.0  200.347822  164.571430
+    12  1792.0  1792.0  1792.0  172.914215  197.182873
+    13  1920.0  1920.0  1920.0  200.347822  166.554219
     14  2048.0  2048.0  2048.0  223.696203  184.365008
-    15  2176.0  2176.0  2176.0  209.621326  203.269178
-    16  2304.0  2304.0  2304.0  227.503545  221.184000
-    17  2432.0  2432.0  2432.0  208.107149  196.464787
-    18  2560.0  2560.0  2560.0  222.911566  214.169933
-    19  2688.0  2688.0  2688.0  199.647657  191.581096
-    20  2816.0  2816.0  2816.0  210.696652  201.917629
-    21  2944.0  2944.0  2944.0  216.678395  217.624596
-    22  3072.0  3072.0  3072.0  212.071554  203.680236
-    23  3200.0  3200.0  3200.0  216.949149  211.920530
-    24  3328.0  3328.0  3328.0  207.169199  203.365249
-    25  3456.0  3456.0  3456.0  217.308808  212.721813
-    26  3584.0  3584.0  3584.0  220.922331  205.286289
-    27  3712.0  3712.0  3712.0  209.428397  215.761000
-    28  3840.0  3840.0  3840.0  208.664143  206.328356
-    29  3968.0  3968.0  3968.0  208.587935  211.847104
-    30  4096.0  4096.0  4096.0  219.668951  204.600198
+    15  2176.0  2176.0  2176.0  211.827867  205.343354
+    16  2304.0  2304.0  2304.0  227.503545  219.154788
+    17  2432.0  2432.0  2432.0  205.069087  195.100438
+    18  2560.0  2560.0  2560.0  224.438347  210.051289
+    19  2688.0  2688.0  2688.0  198.602388  191.581096
+    20  2816.0  2816.0  2816.0  210.696652  205.727397
+    21  2944.0  2944.0  2944.0  220.513412  212.974490
+    22  3072.0  3072.0  3072.0  206.653671  203.680236
+    23  3200.0  3200.0  3200.0  211.920530  216.949149
+    24  3328.0  3328.0  3328.0  216.841256  206.871539
+    25  3456.0  3456.0  3456.0  211.605170  212.162014
+    26  3584.0  3584.0  3584.0  219.305830  204.353162
+    27  3712.0  3712.0  3712.0  210.310194  216.228019
+    28  3840.0  3840.0  3840.0  205.561330  206.328356
+    29  3968.0  3968.0  3968.0  211.847104  212.215536
+    30  4096.0  4096.0  4096.0  217.180793  208.736744
     matmul-performance-fp8:
              M       N       K      Triton
-    0    256.0   256.0   256.0    4.096000
+    0    256.0   256.0   256.0    3.640889
     1    384.0   384.0   384.0   12.288000
     2    512.0   512.0   512.0   26.214401
     3    640.0   640.0   640.0   46.545454
@@ -620,29 +620,29 @@ but feel free to arrange this script as you wish to benchmark any other matrix s
     13  1920.0  1920.0  1920.0  160.744186
     14  2048.0  2048.0  2048.0  182.361039
     15  2176.0  2176.0  2176.0  173.479720
-    16  2304.0  2304.0  2304.0  188.093471
+    16  2304.0  2304.0  2304.0  191.102967
     17  2432.0  2432.0  2432.0  187.296418
     18  2560.0  2560.0  2560.0  188.321838
-    19  2688.0  2688.0  2688.0  180.633601
+    19  2688.0  2688.0  2688.0  179.777512
     20  2816.0  2816.0  2816.0  192.983218
     21  2944.0  2944.0  2944.0  193.162926
-    22  3072.0  3072.0  3072.0  191.942722
-    23  3200.0  3200.0  3200.0  190.476192
-    24  3328.0  3328.0  3328.0  187.966827
-    25  3456.0  3456.0  3456.0  190.145208
-    26  3584.0  3584.0  3584.0  189.096514
-    27  3712.0  3712.0  3712.0  188.130582
-    28  3840.0  3840.0  3840.0  190.675864
+    22  3072.0  3072.0  3072.0  190.650187
+    23  3200.0  3200.0  3200.0  188.790565
+    24  3328.0  3328.0  3328.0  187.477327
+    25  3456.0  3456.0  3456.0  188.809296
+    26  3584.0  3584.0  3584.0  190.095969
+    27  3712.0  3712.0  3712.0  187.776971
+    28  3840.0  3840.0  3840.0  187.921835
     29  3968.0  3968.0  3968.0  192.466777
-    30  4096.0  4096.0  4096.0  195.367874
+    30  4096.0  4096.0  4096.0  194.800764
 
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 12.994 seconds)
+   **Total running time of the script:** (2 minutes 13.111 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

diff --git a/main/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/main/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
@@ -246,7 +246,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.697 seconds)
+   **Total running time of the script:** (0 minutes 0.706 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py: