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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
@@ -232,7 +232,7 @@ 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     9.600000     8.000000
+    0        4096.0     8.000000     9.600000
     1        8192.0    15.999999    15.999999
     2       16384.0    31.999999    31.999999
     3       32768.0    63.999998    63.999998
@@ -241,12 +241,12 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
     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
+    9     2097152.0  1045.787204  1023.999964
+    10    4194304.0  1260.307736  1228.800031
     11    8388608.0  1424.695621  1424.695621
     12   16777216.0  1560.380965  1560.380965
     13   33554432.0  1624.859540  1624.859540
-    14   67108864.0  1669.706983  1662.646960
+    14   67108864.0  1669.706983  1666.169441
     15  134217728.0  1684.008546  1678.616907
 
 
@@ -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 7.306 seconds)
+   **Total running time of the script:** (0 minutes 6.304 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   465.044599   705.085923
-    1     384.0   616.695669   817.685769
-    2     512.0   747.366924   922.182090
-    3     640.0   824.100839   946.771850
-    4     768.0   882.151663  1026.234825
-    5     896.0   937.814385  1062.694926
-    6    1024.0  1007.711556  1122.646528
-    7    1152.0  1107.226266   611.074438
-    8    1280.0  1153.292361   669.958194
-    9    1408.0  1167.426735   721.314161
-    10   1536.0  1184.655877   780.087937
-    11   1664.0  1215.957175   811.110045
-    12   1792.0  1232.509469   854.720856
-    13   1920.0  1255.053420   907.695478
-    14   2048.0  1278.202547   953.971428
-    15   2176.0  1245.390831   978.381129
-    16   2304.0  1246.421817  1011.119265
-    17   2432.0  1274.105928  1052.903308
-    18   2560.0  1289.612947  1086.877454
-    19   2688.0  1288.519018  1099.261935
-    20   2816.0  1303.811463  1127.526268
-    21   2944.0  1314.629501  1166.712966
-    22   3072.0  1331.431119  1186.331573
-    23   3200.0  1329.521339  1197.060790
-    24   3328.0  1340.323524  1221.403606
-    25   3456.0  1348.004637  1252.099576
-    26   3584.0  1351.328455  1263.316706
-    27   3712.0  1371.009649  1266.292238
-    28   3840.0  1375.734055  1302.556841
-    29   3968.0  1375.636823  1315.865252
-    30   4096.0  1378.446933  1323.195881
-    31   4224.0  1333.002032  1159.397402
-    32   4352.0  1333.059653  1172.802572
-    33   4480.0  1355.127797  1185.407362
-    34   4608.0  1359.585522  1193.364827
-    35   4736.0  1356.834268  1200.177145
-    36   4864.0  1377.947633  1221.732348
-    37   4992.0  1376.310150  1237.508004
-    38   5120.0  1373.371121  1249.134141
-    39   5248.0  1375.842094  1258.416150
-    40   5376.0  1377.374344  1285.263886
-    41   5504.0  1376.380637  1297.422943
-    42   5632.0  1384.119000  1311.673950
-    43   5760.0  1399.134344  1325.566346
-    44   5888.0  1383.801995  1341.460366
-    45   6016.0  1403.606203  1352.971500
-    46   6144.0  1408.678249  1372.510180
-    47   6272.0  1411.074000  1374.370174
-    48   6400.0  1417.379870  1386.907428
-    49   6528.0  1417.652063  1395.593625
-    50   6656.0  1418.290484  1404.400020
-    51   6784.0  1414.575550  1413.085335
-    52   6912.0  1422.889949  1424.817182
-    53   7040.0  1421.676675  1429.721666
-    54   7168.0  1424.666541  1434.195692
-    55   7296.0  1434.073329  1440.171669
-    56   7424.0  1429.847787  1445.291410
-    57   7552.0  1427.238320  1452.813146
-    58   7680.0  1436.445012  1458.646588
-    59   7808.0  1435.610253  1461.437874
-    60   7936.0  1434.151543  1467.563053
-    61   8064.0  1437.509319  1474.531262
-    62   8192.0  1436.980212  1485.808477
-    63   8320.0  1384.420314  1401.523798
-    64   8448.0  1377.119153  1406.040284
-    65   8576.0  1387.883853  1395.213543
-    66   8704.0  1382.156479  1400.517925
-    67   8832.0  1376.828871  1404.837010
-    68   8960.0  1391.739919  1410.252488
-    69   9088.0  1402.760151  1414.378598
-    70   9216.0  1397.060199  1422.933698
-    71   9344.0  1397.435348  1424.618506
-    72   9472.0  1395.551105  1435.529116
-    73   9600.0  1386.163668  1433.677878
-    74   9728.0  1396.314517  1443.086701
-    75   9856.0  1410.939464  1441.835542
-    76   9984.0  1392.746688  1448.925178
-    77  10112.0  1410.038425  1457.028102
-    78  10240.0  1411.303162  1465.319578
-    79  10368.0  1406.758832  1464.620608
-    80  10496.0  1410.046788  1464.304759
-    81  10624.0  1405.733310  1470.350057
-    82  10752.0  1399.829600  1473.042899
-    83  10880.0  1400.962308  1481.235284
-    84  11008.0  1416.644570  1476.592898
-    85  11136.0  1418.938603  1484.775366
-    86  11264.0  1423.406848  1484.834461
-    87  11392.0  1411.064251  1492.913550
-    88  11520.0  1422.549590  1492.717318
-    89  11648.0  1422.704544  1500.106471
-    90  11776.0  1422.079107  1498.617659
-    91  11904.0  1436.276229  1504.934375
-    92  12032.0  1424.168671  1508.561383
-    93  12160.0  1416.878791  1510.086114
-    94  12288.0  1430.237533  1391.144940
-    95  12416.0  1446.293947  1391.689418
-    96  12544.0  1436.362233  1393.189436
-    97  12672.0  1444.526488  1391.688412
+    0     256.0   469.120677   696.481314
+    1     384.0   619.191379   819.555941
+    2     512.0   751.866726   926.985382
+    3     640.0   809.886303   961.302789
+    4     768.0   881.873012  1031.111103
+    5     896.0   943.373480  1064.494144
+    6    1024.0  1003.694689  1125.410473
+    7    1152.0  1111.477376   611.736669
+    8    1280.0  1142.209038   670.749920
+    9    1408.0  1156.398886   724.512584
+    10   1536.0  1190.384104   778.604053
+    11   1664.0  1217.298954   810.700923
+    12   1792.0  1236.332249   859.045059
+    13   1920.0  1247.350351   911.705359
+    14   2048.0  1270.314823   959.033599
+    15   2176.0  1237.810515   977.335732
+    16   2304.0  1243.916052  1008.153792
+    17   2432.0  1271.354445  1058.444158
+    18   2560.0  1284.860017  1083.476046
+    19   2688.0  1298.240774  1104.943726
+    20   2816.0  1300.259216  1132.976504
+    21   2944.0  1318.002991  1166.471618
+    22   3072.0  1330.006682  1185.642094
+    23   3200.0  1331.996009  1191.063889
+    24   3328.0  1346.118359  1220.833201
+    25   3456.0  1354.013397  1248.948625
+    26   3584.0  1350.370443  1261.471420
+    27   3712.0  1361.196573  1269.933194
+    28   3840.0  1369.176617  1298.487649
+    29   3968.0  1370.322817  1317.320837
+    30   4096.0  1376.168411  1324.028214
+    31   4224.0  1334.488670  1160.028766
+    32   4352.0  1337.815799  1172.769547
+    33   4480.0  1354.995109  1182.945253
+    34   4608.0  1368.727348  1197.220646
+    35   4736.0  1358.273684  1197.767432
+    36   4864.0  1376.430178  1219.484238
+    37   4992.0  1370.010387  1238.692738
+    38   5120.0  1376.374647  1250.714882
+    39   5248.0  1378.852479  1255.935605
+    40   5376.0  1374.076702  1282.689893
+    41   5504.0  1382.936423  1300.563926
+    42   5632.0  1387.184315  1316.406305
+    43   5760.0  1394.231804  1325.609677
+    44   5888.0  1389.370461  1345.235087
+    45   6016.0  1400.023245  1353.805826
+    46   6144.0  1412.550337  1375.196883
+    47   6272.0  1409.303795  1372.723714
+    48   6400.0  1418.194675  1387.834965
+    49   6528.0  1416.137373  1392.344373
+    50   6656.0  1420.995917  1400.722765
+    51   6784.0  1411.549448  1411.507195
+    52   6912.0  1429.500669  1422.376755
+    53   7040.0  1420.219428  1434.351656
+    54   7168.0  1427.378695  1435.609628
+    55   7296.0  1429.052213  1443.196806
+    56   7424.0  1429.746191  1444.323067
+    57   7552.0  1428.946458  1454.898524
+    58   7680.0  1435.514017  1458.130742
+    59   7808.0  1431.427976  1462.915200
+    60   7936.0  1434.612335  1465.337742
+    61   8064.0  1437.244589  1472.916366
+    62   8192.0  1438.906451  1484.752011
+    63   8320.0  1384.842106  1402.958728
+    64   8448.0  1377.083016  1403.196654
+    65   8576.0  1386.531945  1395.660474
+    66   8704.0  1383.301378  1399.907732
+    67   8832.0  1379.075758  1405.886821
+    68   8960.0  1391.428995  1412.149292
+    69   9088.0  1403.430888  1418.411130
+    70   9216.0  1397.556817  1424.053905
+    71   9344.0  1395.884096  1422.231435
+    72   9472.0  1397.101667  1434.109984
+    73   9600.0  1392.610653  1434.735611
+    74   9728.0  1396.021617  1439.600734
+    75   9856.0  1408.394511  1442.183853
+    76   9984.0  1397.668783  1450.449968
+    77  10112.0  1406.737169  1454.448931
+    78  10240.0  1416.291780  1466.403136
+    79  10368.0  1409.013072  1465.406709
+    80  10496.0  1411.251392  1466.363507
+    81  10624.0  1406.027676  1467.589524
+    82  10752.0  1400.147116  1473.321898
+    83  10880.0  1397.345593  1480.257108
+    84  11008.0  1415.872320  1475.455493
+    85  11136.0  1419.920841  1489.018901
+    86  11264.0  1428.072523  1485.690178
+    87  11392.0  1408.835978  1488.156016
+    88  11520.0  1418.084335  1491.717852
+    89  11648.0  1421.466701  1496.369859
+    90  11776.0  1422.544359  1503.955108
+    91  11904.0  1436.281627  1504.616364
+    92  12032.0  1418.136280  1508.616202
+    93  12160.0  1413.437587  1513.737683
+    94  12288.0  1430.042577  1392.854717
+    95  12416.0  1444.306777  1391.722782
+    96  12544.0  1435.316443  1391.734989
+    97  12672.0  1446.635149  1394.660915
 
 
 
@@ -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 23.218 seconds)
+   **Total running time of the script:** (0 minutes 23.191 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
@@ -572,77 +572,77 @@ 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   11.059200   12.288000
+    1    384.0   384.0   384.0   12.288000   12.288000
     2    512.0   512.0   512.0   26.214401   26.214401
-    3    640.0   640.0   640.0   42.666665   39.384616
+    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
+    5    896.0   896.0   896.0   78.051553   93.661869
     6   1024.0  1024.0  1024.0  110.376426   99.864382
     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  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  173.056002
+    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  166.554219
-    14  2048.0  2048.0  2048.0  223.696203  182.361039
-    15  2176.0  2176.0  2176.0  211.827867  203.269178
-    16  2304.0  2304.0  2304.0  229.691080  221.184000
-    17  2432.0  2432.0  2432.0  203.583068  196.464787
-    18  2560.0  2560.0  2560.0  222.911566  212.779229
-    19  2688.0  2688.0  2688.0  198.602388  191.581096
+    13  1920.0  1920.0  1920.0  200.347822  164.571430
+    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  206.576938  195.100438
+    18  2560.0  2560.0  2560.0  224.438347  210.051289
+    19  2688.0  2688.0  2688.0  198.602388  193.536006
     20  2816.0  2816.0  2816.0  210.696652  203.804711
-    21  2944.0  2944.0  2944.0  221.493479  215.740400
-    22  3072.0  3072.0  3072.0  208.941345  203.680236
-    23  3200.0  3200.0  3200.0  214.046818  214.046818
-    24  3328.0  3328.0  3328.0  207.467716  204.520726
-    25  3456.0  3456.0  3456.0  216.724640  212.721813
-    26  3584.0  3584.0  3584.0  219.305830  204.818663
-    27  3712.0  3712.0  3712.0  208.990259  222.488510
-    28  3840.0  3840.0  3840.0  209.851994  201.442627
-    29  3968.0  3968.0  3968.0  208.945088  213.889466
-    30  4096.0  4096.0  4096.0  219.668951  207.126128
+    21  2944.0  2944.0  2944.0  221.493479  220.513412
+    22  3072.0  3072.0  3072.0  210.494802  203.680236
+    23  3200.0  3200.0  3200.0  214.765101  211.920530
+    24  3328.0  3328.0  3328.0  207.467716  202.792385
+    25  3456.0  3456.0  3456.0  219.080343  212.721813
+    26  3584.0  3584.0  3584.0  218.772251  201.604022
+    27  3712.0  3712.0  3712.0  209.428397  211.646909
+    28  3840.0  3840.0  3840.0  210.451005  205.944129
+    29  3968.0  3968.0  3968.0  208.945088  214.453305
+    30  4096.0  4096.0  4096.0  216.829933  208.736744
     matmul-performance-fp8:
              M       N       K      Triton
-    0    256.0   256.0   256.0    4.096000
-    1    384.0   384.0   384.0   12.288000
+    0    256.0   256.0   256.0    3.640889
+    1    384.0   384.0   384.0   11.059200
     2    512.0   512.0   512.0   26.214401
     3    640.0   640.0   640.0   46.545454
-    4    768.0   768.0   768.0   58.982401
+    4    768.0   768.0   768.0   63.195428
     5    896.0   896.0   896.0   87.808000
     6   1024.0  1024.0  1024.0   95.325090
-    7   1152.0  1152.0  1152.0  124.415996
+    7   1152.0  1152.0  1152.0  119.439363
     8   1280.0  1280.0  1280.0  141.241376
-    9   1408.0  1408.0  1408.0  136.294403
+    9   1408.0  1408.0  1408.0  132.970149
     10  1536.0  1536.0  1536.0  150.593357
     11  1664.0  1664.0  1664.0  149.981870
-    12  1792.0  1792.0  1792.0  167.752595
+    12  1792.0  1792.0  1792.0  170.294302
     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  192.644132
-    17  2432.0  2432.0  2432.0  186.056053
-    18  2560.0  2560.0  2560.0  188.321838
-    19  2688.0  2688.0  2688.0  182.370464
+    17  2432.0  2432.0  2432.0  188.553450
+    18  2560.0  2560.0  2560.0  185.129949
+    19  2688.0  2688.0  2688.0  181.497871
     20  2816.0  2816.0  2816.0  195.579412
-    21  2944.0  2944.0  2944.0  192.417117
-    22  3072.0  3072.0  3072.0  191.294262
-    23  3200.0  3200.0  3200.0  189.910976
-    24  3328.0  3328.0  3328.0  189.450773
-    25  3456.0  3456.0  3456.0  190.145208
+    21  2944.0  2944.0  2944.0  193.162926
+    22  3072.0  3072.0  3072.0  190.010417
+    23  3200.0  3200.0  3200.0  188.790565
+    24  3328.0  3328.0  3328.0  187.721758
+    25  3456.0  3456.0  3456.0  187.929060
     26  3584.0  3584.0  3584.0  190.095969
     27  3712.0  3712.0  3712.0  190.280662
-    28  3840.0  3840.0  3840.0  190.675864
-    29  3968.0  3968.0  3968.0  192.770834
-    30  4096.0  4096.0  4096.0  199.283930
+    28  3840.0  3840.0  3840.0  188.402048
+    29  3968.0  3968.0  3968.0  191.861531
+    30  4096.0  4096.0  4096.0  197.233986
 
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 13.048 seconds)
+   **Total running time of the script:** (2 minutes 13.353 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 0.701 seconds)
+   **Total running time of the script:** (0 minutes 0.711 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py: