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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/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/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
@@ -231,7 +231,7 @@ 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     8.000000
-    1        8192.0    19.200000    19.200000
+    1        8192.0    15.999999    19.200000
     2       16384.0    31.999999    31.999999
     3       32768.0    63.999998    63.999998
     4       65536.0   127.999995   127.999995
@@ -243,7 +243,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     10    4194304.0  1228.800031  1228.800031
     11    8388608.0  1424.695621  1424.695621
     12   16777216.0  1560.380965  1560.380965
-    13   33554432.0  1631.601649  1624.859540
+    13   33554432.0  1624.859540  1624.859540
     14   67108864.0  1669.706983  1662.646960
     15  134217728.0  1684.008546  1678.616907
 
@@ -253,7 +253,7 @@ 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 7.322 seconds)
+   **Total running time of the script:** (0 minutes 10.546 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
@@ -330,104 +330,104 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
 
     softmax-performance:
               N       Triton        Torch
-    0     256.0   475.850564   695.725408
-    1     384.0   610.493178   821.522925
-    2     512.0   750.306068   937.346360
-    3     640.0   796.733123   960.457050
-    4     768.0   881.664050  1016.465839
-    5     896.0   936.324438  1057.657645
-    6    1024.0   992.861548  1110.077966
-    7    1152.0  1108.676130   614.233540
-    8    1280.0  1150.692968   669.514660
-    9    1408.0  1158.582790   725.746252
-    10   1536.0  1193.672029   784.340342
-    11   1664.0  1213.072712   814.439099
-    12   1792.0  1234.857564   856.123243
-    13   1920.0  1249.351308   905.956888
-    14   2048.0  1280.858942   961.046855
-    15   2176.0  1267.142379   977.060489
-    16   2304.0  1267.458788  1012.050520
-    17   2432.0  1302.253867  1057.918195
-    18   2560.0  1302.488874  1087.968537
-    19   2688.0  1310.649860  1100.460099
-    20   2816.0  1324.307118  1126.838051
-    21   2944.0  1321.761247  1168.429206
-    22   3072.0  1352.406328  1184.729527
-    23   3200.0  1349.226461  1197.241110
-    24   3328.0  1357.948811  1223.987640
-    25   3456.0  1377.812763  1252.705845
-    26   3584.0  1371.912656  1263.141392
-    27   3712.0  1384.016855  1271.378585
-    28   3840.0  1385.514922  1299.949745
-    29   3968.0  1391.498780  1317.571943
-    30   4096.0  1398.962202  1329.606903
-    31   4224.0  1336.980914  1157.652202
-    32   4352.0  1335.278951  1178.965055
-    33   4480.0  1358.394009  1184.344606
-    34   4608.0  1365.774069  1193.142783
-    35   4736.0  1355.840221  1195.081975
-    36   4864.0  1375.647740  1223.188034
-    37   4992.0  1375.251908  1235.134019
-    38   5120.0  1375.973954  1250.629710
-    39   5248.0  1371.192296  1256.835838
-    40   5376.0  1374.006961  1288.219067
-    41   5504.0  1377.160620  1298.873347
-    42   5632.0  1386.031107  1316.616051
-    43   5760.0  1393.073437  1325.573590
-    44   5888.0  1384.514443  1344.477591
-    45   6016.0  1402.229447  1353.904998
-    46   6144.0  1406.090800  1372.143944
-    47   6272.0  1411.159383  1377.042845
-    48   6400.0  1420.363397  1386.946958
-    49   6528.0  1417.478867  1396.651476
-    50   6656.0  1422.664975  1402.503745
-    51   6784.0  1414.297738  1413.491568
-    52   6912.0  1424.725000  1425.883779
-    53   7040.0  1418.800094  1431.643453
-    54   7168.0  1427.013003  1435.753709
-    55   7296.0  1428.164448  1440.691248
-    56   7424.0  1429.115300  1446.343748
-    57   7552.0  1428.217908  1456.068658
-    58   7680.0  1435.402188  1459.118131
-    59   7808.0  1432.049687  1464.103369
-    60   7936.0  1433.225180  1469.306879
-    61   8064.0  1439.446085  1476.361630
-    62   8192.0  1438.300708  1486.025328
-    63   8320.0  1388.962371  1400.338506
-    64   8448.0  1381.683628  1406.529581
-    65   8576.0  1394.282364  1393.081452
-    66   8704.0  1391.900835  1402.063229
-    67   8832.0  1383.477614  1405.623253
-    68   8960.0  1395.157292  1411.442257
-    69   9088.0  1410.804729  1413.481622
-    70   9216.0  1404.418290  1425.135636
-    71   9344.0  1395.579370  1425.386794
-    72   9472.0  1401.021723  1436.639423
-    73   9600.0  1397.299238  1433.041420
-    74   9728.0  1404.334592  1439.593652
-    75   9856.0  1418.089563  1439.920260
-    76   9984.0  1397.059480  1454.070686
-    77  10112.0  1410.432129  1455.029779
-    78  10240.0  1419.508487  1466.724038
-    79  10368.0  1416.064977  1460.785999
-    80  10496.0  1415.748779  1468.217737
-    81  10624.0  1413.552619  1468.242190
-    82  10752.0  1406.350759  1472.523624
-    83  10880.0  1399.917277  1482.411502
-    84  11008.0  1421.219211  1475.153289
-    85  11136.0  1422.793715  1483.329630
-    86  11264.0  1429.921991  1487.162682
-    87  11392.0  1414.617726  1488.746417
-    88  11520.0  1426.169420  1492.420112
-    89  11648.0  1425.516381  1497.208548
-    90  11776.0  1431.093073  1500.518771
-    91  11904.0  1440.873964  1509.154537
-    92  12032.0  1424.795279  1504.442472
-    93  12160.0  1418.936980  1510.449892
-    94  12288.0  1434.619046  1394.006075
-    95  12416.0  1450.910886  1388.227788
-    96  12544.0  1442.122532  1391.546047
-    97  12672.0  1445.332228  1390.707465
+    0     256.0   475.119885   695.943816
+    1     384.0   599.888221   814.497591
+    2     512.0   742.053950   905.459280
+    3     640.0   794.116965   957.358723
+    4     768.0   879.416529  1023.560336
+    5     896.0   936.762923  1061.441449
+    6    1024.0   983.253647  1122.508738
+    7    1152.0  1108.239858   615.398673
+    8    1280.0  1153.352464   670.071145
+    9    1408.0  1167.015563   724.837203
+    10   1536.0  1195.945540   779.626741
+    11   1664.0  1220.537268   815.326220
+    12   1792.0  1241.950121   856.177836
+    13   1920.0  1249.585273   909.664327
+    14   2048.0  1273.230591   960.698648
+    15   2176.0  1268.466515   978.609505
+    16   2304.0  1263.531713  1007.182920
+    17   2432.0  1297.489790  1058.429065
+    18   2560.0  1306.562331  1083.032610
+    19   2688.0  1307.392364  1104.273396
+    20   2816.0  1322.647017  1131.158457
+    21   2944.0  1326.012351  1168.911267
+    22   3072.0  1343.380037  1185.706550
+    23   3200.0  1348.612079  1193.949893
+    24   3328.0  1354.787880  1225.840105
+    25   3456.0  1373.628768  1246.345744
+    26   3584.0  1378.841844  1258.454542
+    27   3712.0  1385.044034  1267.715478
+    28   3840.0  1384.708021  1303.540698
+    29   3968.0  1391.843593  1317.011436
+    30   4096.0  1403.647323  1325.326313
+    31   4224.0  1342.050572  1160.172094
+    32   4352.0  1337.013188  1171.954908
+    33   4480.0  1350.924941  1182.126433
+    34   4608.0  1363.041761  1192.366524
+    35   4736.0  1361.789798  1200.462100
+    36   4864.0  1374.719507  1221.040141
+    37   4992.0  1370.134282  1236.756270
+    38   5120.0  1371.452347  1254.721400
+    39   5248.0  1373.996815  1258.531440
+    40   5376.0  1381.959174  1287.710689
+    41   5504.0  1382.424216  1301.744382
+    42   5632.0  1383.669790  1313.890249
+    43   5760.0  1395.490268  1328.129387
+    44   5888.0  1393.078866  1341.729457
+    45   6016.0  1395.468420  1352.132780
+    46   6144.0  1404.943892  1375.912915
+    47   6272.0  1412.920018  1376.754185
+    48   6400.0  1414.621565  1386.229751
+    49   6528.0  1415.416810  1392.492551
+    50   6656.0  1419.798806  1402.930427
+    51   6784.0  1410.589964  1413.886230
+    52   6912.0  1422.346796  1422.023969
+    53   7040.0  1417.202669  1429.671257
+    54   7168.0  1426.162280  1433.066177
+    55   7296.0  1427.262154  1443.939225
+    56   7424.0  1428.358829  1448.288150
+    57   7552.0  1428.796417  1455.921475
+    58   7680.0  1434.462314  1463.005167
+    59   7808.0  1432.161610  1467.619209
+    60   7936.0  1441.399705  1469.825270
+    61   8064.0  1440.680326  1471.727818
+    62   8192.0  1438.266258  1484.059239
+    63   8320.0  1385.761167  1401.849118
+    64   8448.0  1380.087726  1401.760620
+    65   8576.0  1394.502172  1397.637315
+    66   8704.0  1388.602811  1398.065719
+    67   8832.0  1381.139636  1406.115697
+    68   8960.0  1397.823159  1412.850284
+    69   9088.0  1409.352940  1414.398267
+    70   9216.0  1402.877686  1418.335068
+    71   9344.0  1398.310289  1426.344682
+    72   9472.0  1403.407980  1432.377616
+    73   9600.0  1395.768695  1433.486509
+    74   9728.0  1398.973953  1438.753724
+    75   9856.0  1413.121056  1445.897151
+    76   9984.0  1404.157024  1452.065360
+    77  10112.0  1413.298932  1456.867818
+    78  10240.0  1421.081302  1467.577480
+    79  10368.0  1413.005624  1462.667132
+    80  10496.0  1419.822223  1465.329561
+    81  10624.0  1408.313193  1465.703894
+    82  10752.0  1409.411735  1470.409409
+    83  10880.0  1399.427289  1481.431927
+    84  11008.0  1420.316444  1476.508172
+    85  11136.0  1424.671045  1488.620813
+    86  11264.0  1427.649123  1486.835959
+    87  11392.0  1415.113487  1489.200069
+    88  11520.0  1425.896005  1493.262533
+    89  11648.0  1423.979897  1498.025510
+    90  11776.0  1429.213893  1500.226685
+    91  11904.0  1441.956250  1507.282425
+    92  12032.0  1421.475467  1506.596440
+    93  12160.0  1421.558899  1511.507914
+    94  12288.0  1433.876810  1393.287585
+    95  12416.0  1448.061992  1390.440324
+    96  12544.0  1443.524720  1390.573352
+    97  12672.0  1446.491371  1391.947883
 
 
 
@@ -442,7 +442,7 @@ In the above plot, we can see that:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 23.289 seconds)
+   **Total running time of the script:** (0 minutes 23.226 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
@@ -570,36 +570,36 @@ 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   68.056616
+    4    768.0   768.0   768.0   63.195428   63.195428
     5    896.0   896.0   896.0   78.051553   93.661869
     6   1024.0  1024.0  1024.0  104.857603   99.864382
     7   1152.0  1152.0  1152.0  135.726544  129.825388
     8   1280.0  1280.0  1280.0  157.538463  163.840004
-    9   1408.0  1408.0  1408.0  155.765024  132.970149
+    9   1408.0  1408.0  1408.0  151.438217  132.970149
     10  1536.0  1536.0  1536.0  176.947204  153.867127
-    11  1664.0  1664.0  1664.0  183.651271  179.978245
-    12  1792.0  1792.0  1792.0  172.914215  204.353162
+    11  1664.0  1664.0  1664.0  179.978245  179.978245
+    12  1792.0  1792.0  1792.0  170.294302  204.353162
     13  1920.0  1920.0  1920.0  200.347822  168.585369
     14  2048.0  2048.0  2048.0  223.696203  190.650180
-    15  2176.0  2176.0  2176.0  211.827867  211.827867
-    16  2304.0  2304.0  2304.0  229.691080  225.357284
-    17  2432.0  2432.0  2432.0  200.674737  202.118452
-    18  2560.0  2560.0  2560.0  224.438347  219.919464
-    19  2688.0  2688.0  2688.0  198.602388  199.647657
-    20  2816.0  2816.0  2816.0  212.752230  211.719459
-    21  2944.0  2944.0  2944.0  220.513412  222.482283
-    22  3072.0  3072.0  3072.0  208.173173  213.672083
-    23  3200.0  3200.0  3200.0  213.333323  218.430042
-    24  3328.0  3328.0  3328.0  208.670419  207.467716
-    25  3456.0  3456.0  3456.0  216.724640  216.724640
-    26  3584.0  3584.0  3584.0  218.772251  213.069643
-    27  3712.0  3712.0  3712.0  210.310194  214.371984
-    28  3840.0  3840.0  3840.0  210.250955  211.456969
-    29  3968.0  3968.0  3968.0  208.231980  211.847104
-    30  4096.0  4096.0  4096.0  219.668951  221.481394
+    15  2176.0  2176.0  2176.0  211.827867  209.621326
+    16  2304.0  2304.0  2304.0  229.691080  227.503545
+    17  2432.0  2432.0  2432.0  205.069087  200.674737
+    18  2560.0  2560.0  2560.0  218.453323  212.779229
+    19  2688.0  2688.0  2688.0  195.531224  198.602388
+    20  2816.0  2816.0  2816.0  213.795141  212.752230
+    21  2944.0  2944.0  2944.0  220.513412  220.513412
+    22  3072.0  3072.0  3072.0  208.173173  212.868821
+    23  3200.0  3200.0  3200.0  217.687077  218.430042
+    24  3328.0  3328.0  3328.0  208.067338  209.887165
+    25  3456.0  3456.0  3456.0  216.724640  216.433749
+    26  3584.0  3584.0  3584.0  216.663602  214.595213
+    27  3712.0  3712.0  3712.0  209.868376  214.602246
+    28  3840.0  3840.0  3840.0  211.456969  209.454544
+    29  3968.0  3968.0  3968.0  209.663117  214.830867
+    30  4096.0  4096.0  4096.0  219.668951  219.668951
     matmul-performance-fp8:
              M       N       K      Triton
     0    256.0   256.0   256.0    3.276800
@@ -610,37 +610,37 @@ but feel free to arrange this script as you wish to benchmark any other matrix s
     5    896.0   896.0   896.0   58.538665
     6   1024.0  1024.0  1024.0   61.680940
     7   1152.0  1152.0  1152.0   80.702267
-    8   1280.0  1280.0  1280.0   99.902441
+    8   1280.0  1280.0  1280.0  102.400003
     9   1408.0  1408.0  1408.0   82.602666
     10  1536.0  1536.0  1536.0   98.303997
     11  1664.0  1664.0  1664.0  115.370671
     12  1792.0  1792.0  1792.0  133.802668
-    13  1920.0  1920.0  1920.0  100.173911
+    13  1920.0  1920.0  1920.0   99.453240
     14  2048.0  2048.0  2048.0  114.130722
     15  2176.0  2176.0  2176.0  120.500882
     16  2304.0  2304.0  2304.0  133.451803
     17  2432.0  2432.0  2432.0  131.898888
     18  2560.0  2560.0  2560.0  146.285712
-    19  2688.0  2688.0  2688.0  117.439807
-    20  2816.0  2816.0  2816.0  128.655484
-    21  2944.0  2944.0  2944.0  139.596724
-    22  3072.0  3072.0  3072.0  144.079147
-    23  3200.0  3200.0  3200.0  138.228941
-    24  3328.0  3328.0  3328.0  130.655709
-    25  3456.0  3456.0  3456.0  138.763456
-    26  3584.0  3584.0  3584.0  148.375230
-    27  3712.0  3712.0  3712.0  140.502593
+    19  2688.0  2688.0  2688.0  117.077336
+    20  2816.0  2816.0  2816.0  128.277083
+    21  2944.0  2944.0  2944.0  138.819031
+    22  3072.0  3072.0  3072.0  143.713461
+    23  3200.0  3200.0  3200.0  139.433550
+    24  3328.0  3328.0  3328.0  130.419012
+    25  3456.0  3456.0  3456.0  138.287420
+    26  3584.0  3584.0  3584.0  146.920574
+    27  3712.0  3712.0  3712.0  140.700486
     28  3840.0  3840.0  3840.0  137.895263
-    29  3968.0  3968.0  3968.0  145.439735
-    30  4096.0  4096.0  4096.0  154.985826
+    29  3968.0  3968.0  3968.0  145.961642
+    30  4096.0  4096.0  4096.0  155.524599
 
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 17.685 seconds)
+   **Total running time of the script:** (2 minutes 17.857 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
@@ -242,7 +242,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.735 seconds)
+   **Total running time of the script:** (0 minutes 0.709 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py: