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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
@@ -230,17 +230,17 @@ 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
+    0        4096.0     9.600000     9.600000
     1        8192.0    15.999999    19.200000
-    2       16384.0    31.999999    31.999999
+    2       16384.0    31.999999    38.400001
     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
-    10    4194304.0  1228.800031  1228.800031
+    10    4194304.0  1260.307736  1260.307736
     11    8388608.0  1424.695621  1424.695621
     12   16777216.0  1560.380965  1560.380965
     13   33554432.0  1624.859540  1624.859540
@@ -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 10.546 seconds)
+   **Total running time of the script:** (0 minutes 9.366 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   475.119885   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
+    0     256.0   475.850513   687.463360
+    1     384.0   616.598324   825.112804
+    2     512.0   752.152129   930.062178
+    3     640.0   797.584582   964.169118
+    4     768.0   872.367065  1029.463380
+    5     896.0   934.884339  1074.519017
+    6    1024.0   985.316544  1124.934713
+    7    1152.0  1100.938093   614.483101
+    8    1280.0  1144.145829   666.282666
+    9    1408.0  1166.470053   725.768367
+    10   1536.0  1187.488503   783.040887
+    11   1664.0  1217.560989   813.102953
+    12   1792.0  1239.594837   858.767981
+    13   1920.0  1255.130671   908.532628
+    14   2048.0  1278.701545   958.923718
+    15   2176.0  1254.419049   975.922840
+    16   2304.0  1265.354642  1008.972445
+    17   2432.0  1294.586034  1055.682987
+    18   2560.0  1308.759678  1087.911769
+    19   2688.0  1315.911953  1100.549637
+    20   2816.0  1321.422365  1134.170069
+    21   2944.0  1329.266873  1170.250995
+    22   3072.0  1347.321669  1183.111636
+    23   3200.0  1352.021891  1197.043150
+    24   3328.0  1355.746493  1228.090240
+    25   3456.0  1370.843429  1251.315455
+    26   3584.0  1379.689927  1257.778825
+    27   3712.0  1381.911262  1269.746611
+    28   3840.0  1382.284802  1301.266371
+    29   3968.0  1386.797272  1317.050896
+    30   4096.0  1400.924938  1327.234495
+    31   4224.0  1337.627442  1159.593694
+    32   4352.0  1339.284010  1177.002373
+    33   4480.0  1353.845012  1187.309380
+    34   4608.0  1361.356313  1191.749776
+    35   4736.0  1358.162950  1197.660073
+    36   4864.0  1381.446585  1222.915464
+    37   4992.0  1372.271561  1234.020894
+    38   5120.0  1378.461482  1248.665170
+    39   5248.0  1377.689456  1260.307868
+    40   5376.0  1374.849864  1283.708936
+    41   5504.0  1381.970726  1299.104494
+    42   5632.0  1388.620927  1313.794357
+    43   5760.0  1395.120302  1325.953945
+    44   5888.0  1387.343305  1345.302760
+    45   6016.0  1397.500649  1355.093919
+    46   6144.0  1404.645044  1373.124161
+    47   6272.0  1412.280252  1376.754872
+    48   6400.0  1419.217401  1389.266764
+    49   6528.0  1414.823095  1392.347225
+    50   6656.0  1422.273057  1405.216930
+    51   6784.0  1412.584923  1413.432776
+    52   6912.0  1422.823719  1422.035144
+    53   7040.0  1422.158871  1433.663183
+    54   7168.0  1426.703144  1436.355406
+    55   7296.0  1433.546795  1446.248913
+    56   7424.0  1428.803362  1444.594870
+    57   7552.0  1425.983852  1456.184970
+    58   7680.0  1435.346314  1461.436969
+    59   7808.0  1435.478493  1466.267894
+    60   7936.0  1438.223739  1469.039474
+    61   8064.0  1435.894832  1468.802294
+    62   8192.0  1438.607272  1482.975345
+    63   8320.0  1386.721060  1400.951414
+    64   8448.0  1374.077041  1404.988426
+    65   8576.0  1394.363804  1398.598262
+    66   8704.0  1387.006891  1397.755040
+    67   8832.0  1387.124078  1403.296882
+    68   8960.0  1402.363238  1410.031484
+    69   9088.0  1410.029811  1416.243861
+    70   9216.0  1401.633733  1426.089034
+    71   9344.0  1399.234216  1426.214196
+    72   9472.0  1400.425838  1435.131292
+    73   9600.0  1393.387227  1437.205521
+    74   9728.0  1399.954388  1440.983161
+    75   9856.0  1415.125637  1442.984461
+    76   9984.0  1402.043881  1449.643036
+    77  10112.0  1412.833069  1455.004550
+    78  10240.0  1417.773187  1465.911287
+    79  10368.0  1415.281766  1462.021080
+    80  10496.0  1415.052579  1465.689950
+    81  10624.0  1414.876713  1467.154076
+    82  10752.0  1407.639319  1473.342661
+    83  10880.0  1400.496469  1479.757848
+    84  11008.0  1417.468412  1477.633613
+    85  11136.0  1423.261095  1483.761393
+    86  11264.0  1430.326091  1485.956573
+    87  11392.0  1418.367390  1488.453275
+    88  11520.0  1422.428604  1493.777990
+    89  11648.0  1427.661323  1498.169731
+    90  11776.0  1428.903804  1500.873947
+    91  11904.0  1443.563467  1506.566059
+    92  12032.0  1420.868906  1505.421205
+    93  12160.0  1421.112554  1511.968572
+    94  12288.0  1436.313305  1392.213390
+    95  12416.0  1446.708961  1389.593389
+    96  12544.0  1438.186113  1394.755195
+    97  12672.0  1445.136445  1392.092798
 
 
 
@@ -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 23.226 seconds)
+   **Total running time of the script:** (0 minutes 23.286 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
@@ -574,32 +574,32 @@ but feel free to arrange this script as you wish to benchmark any other matrix s
     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   93.661869
-    6   1024.0  1024.0  1024.0  104.857603   99.864382
+    5    896.0   896.0   896.0   78.051553   87.808000
+    6   1024.0  1024.0  1024.0  104.857603  104.857603
     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  151.438217  132.970149
+    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  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  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
+    11  1664.0  1664.0  1664.0  183.651271  179.978245
+    12  1792.0  1792.0  1792.0  172.914215  208.137481
+    13  1920.0  1920.0  1920.0  197.485709  166.554219
+    14  2048.0  2048.0  2048.0  223.696203  192.841562
+    15  2176.0  2176.0  2176.0  209.621326  209.621326
+    16  2304.0  2304.0  2304.0  229.691080  229.691080
+    17  2432.0  2432.0  2432.0  206.576938  202.118452
+    18  2560.0  2560.0  2560.0  221.405396  219.919464
+    19  2688.0  2688.0  2688.0  197.567993  198.602388
+    20  2816.0  2816.0  2816.0  208.680416  210.696652
     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
+    22  3072.0  3072.0  3072.0  206.653671  213.672083
+    23  3200.0  3200.0  3200.0  213.333323  216.216207
+    24  3328.0  3328.0  3328.0  208.067338  208.670419
+    25  3456.0  3456.0  3456.0  214.419058  219.080343
+    26  3584.0  3584.0  3584.0  216.142772  215.624440
+    27  3712.0  3712.0  3712.0  208.990259  211.199462
+    28  3840.0  3840.0  3840.0  207.879708  209.454544
+    29  3968.0  3968.0  3968.0  212.215536  214.830867
+    30  4096.0  4096.0  4096.0  221.481394  217.532790
     matmul-performance-fp8:
              M       N       K      Triton
     0    256.0   256.0   256.0    3.276800
@@ -610,28 +610,28 @@ 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  102.400003
-    9   1408.0  1408.0  1408.0   82.602666
+    8   1280.0  1280.0  1280.0   99.902441
+    9   1408.0  1408.0  1408.0   81.369790
     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   99.453240
+    13  1920.0  1920.0  1920.0  100.173911
     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
+    16  2304.0  2304.0  2304.0  134.201527
     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  117.077336
-    20  2816.0  2816.0  2816.0  128.277083
+    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  138.819031
     22  3072.0  3072.0  3072.0  143.713461
-    23  3200.0  3200.0  3200.0  139.433550
+    23  3200.0  3200.0  3200.0  138.828637
     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
+    26  3584.0  3584.0  3584.0  148.620481
     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  145.961642
+    28  3840.0  3840.0  3840.0  137.723536
+    29  3968.0  3968.0  3968.0  145.439735
     30  4096.0  4096.0  4096.0  155.524599
 
 
@@ -640,7 +640,7 @@ but feel free to arrange this script as you wish to benchmark any other matrix s
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 17.857 seconds)
+   **Total running time of the script:** (2 minutes 17.535 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 0.709 seconds)
+   **Total running time of the script:** (0 minutes 0.699 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py: