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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/index.doctree b/main/.doctrees/index.doctree
diff --git a/main/.doctrees/python-api/triton-semantics.doctree b/main/.doctrees/python-api/triton-semantics.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
@@ -230,30 +230,30 @@ 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    19.200000    15.999999
+    0        4096.0     8.000000     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  1068.521715  1023.999964
-    10    4194304.0  1260.307736  1228.800031
+    9     2097152.0  1023.999964  1023.999964
+    10    4194304.0  1228.800031  1228.800031
     11    8388608.0  1424.695621  1404.342820
     12   16777216.0  1560.380965  1560.380965
     13   33554432.0  1631.601649  1624.859540
     14   67108864.0  1669.706983  1662.646960
-    15  134217728.0  1684.008546  1680.410210
+    15  134217728.0  1684.008546  1678.616907
 
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 9.279 seconds)
+   **Total running time of the script:** (0 minutes 6.723 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   481.787233   705.724062
-    1     384.0   609.399830   823.145287
-    2     512.0   752.761241   938.715075
-    3     640.0   795.207191   963.687580
-    4     768.0   883.995555  1018.055429
-    5     896.0   941.363201  1065.589231
-    6    1024.0   996.608845  1125.695241
-    7    1152.0  1103.490588   611.122499
-    8    1280.0  1142.952994   665.994091
-    9    1408.0  1155.953111   725.551440
-    10   1536.0  1197.167063   783.601216
-    11   1664.0  1210.498079   816.986410
-    12   1792.0  1234.906613   856.984714
-    13   1920.0  1248.669602   904.797934
-    14   2048.0  1280.858942   958.774182
-    15   2176.0  1265.941230   975.427679
-    16   2304.0  1266.526337  1012.759684
-    17   2432.0  1294.710144  1052.632580
-    18   2560.0  1308.203417  1083.349826
-    19   2688.0  1318.264003  1100.249220
-    20   2816.0  1324.348610  1133.009231
-    21   2944.0  1327.509189  1167.599136
-    22   3072.0  1353.069577  1187.693105
-    23   3200.0  1356.729265  1193.932573
-    24   3328.0  1357.470861  1223.652415
-    25   3456.0  1373.285487  1246.906963
-    26   3584.0  1381.106364  1257.079873
-    27   3712.0  1381.131247  1271.832414
-    28   3840.0  1390.550268  1302.754271
-    29   3968.0  1388.395296  1312.913114
-    30   4096.0  1397.371451  1326.814149
-    31   4224.0  1331.338224  1157.624645
-    32   4352.0  1335.823557  1176.092779
-    33   4480.0  1353.712464  1180.856354
-    34   4608.0  1360.907820  1194.417818
-    35   4736.0  1356.910643  1198.416683
-    36   4864.0  1378.410223  1220.112777
-    37   4992.0  1367.971261  1234.844611
-    38   5120.0  1378.023837  1254.763490
-    39   5248.0  1382.237297  1256.700207
-    40   5376.0  1378.864400  1284.430985
-    41   5504.0  1381.684706  1296.449600
-    42   5632.0  1387.100673  1317.723281
-    43   5760.0  1393.815076  1326.507313
-    44   5888.0  1391.070778  1345.476948
-    45   6016.0  1400.424754  1356.097935
-    46   6144.0  1405.875576  1376.014650
-    47   6272.0  1412.176572  1375.807404
-    48   6400.0  1416.333048  1386.887641
-    49   6528.0  1416.098886  1393.563170
-    50   6656.0  1421.801245  1402.747032
-    51   6784.0  1410.664260  1414.210188
-    52   6912.0  1431.320343  1422.900040
-    53   7040.0  1424.599719  1432.120361
-    54   7168.0  1430.183890  1433.223061
-    55   7296.0  1431.681316  1443.362338
-    56   7424.0  1432.122579  1448.012865
-    57   7552.0  1425.955935  1451.492379
-    58   7680.0  1435.178599  1458.149471
-    59   7808.0  1436.457737  1465.244224
-    60   7936.0  1433.572496  1469.084612
-    61   8064.0  1435.587133  1472.240271
-    62   8192.0  1441.404069  1486.112245
-    63   8320.0  1390.356704  1400.074679
-    64   8448.0  1383.194856  1406.393498
-    65   8576.0  1396.077284  1397.507024
-    66   8704.0  1384.904001  1398.360599
-    67   8832.0  1382.374048  1402.216758
-    68   8960.0  1401.063692  1414.321424
-    69   9088.0  1412.011352  1418.236176
-    70   9216.0  1404.785396  1423.952059
-    71   9344.0  1404.486259  1425.256286
-    72   9472.0  1397.758869  1434.454872
-    73   9600.0  1396.091948  1436.841632
-    74   9728.0  1400.572799  1441.794405
-    75   9856.0  1414.065249  1441.533230
-    76   9984.0  1401.525312  1451.348798
-    77  10112.0  1412.226149  1458.403595
-    78  10240.0  1421.336225  1467.180651
-    79  10368.0  1412.411351  1463.230173
-    80  10496.0  1411.883268  1466.183783
-    81  10624.0  1408.763024  1468.983152
-    82  10752.0  1406.810485  1471.994477
-    83  10880.0  1400.275815  1479.533197
-    84  11008.0  1419.242557  1480.439116
-    85  11136.0  1422.770073  1485.121957
-    86  11264.0  1427.136672  1488.408851
-    87  11392.0  1416.667586  1492.681639
-    88  11520.0  1422.613285  1495.312730
-    89  11648.0  1424.640271  1497.273837
-    90  11776.0  1433.258123  1500.081728
-    91  11904.0  1442.979869  1505.822134
-    92  12032.0  1421.861382  1510.145765
-    93  12160.0  1421.744228  1510.685070
-    94  12288.0  1439.575488  1392.381115
-    95  12416.0  1449.718932  1391.712238
-    96  12544.0  1442.290831  1393.949866
-    97  12672.0  1446.398421  1392.661624
+    0     256.0   479.591087   686.780777
+    1     384.0   606.329385   811.084783
+    2     512.0   759.148903   917.236325
+    3     640.0   784.606674   963.285389
+    4     768.0   878.976622  1012.756900
+    5     896.0   936.982431  1067.047583
+    6    1024.0   993.348041  1109.168311
+    7    1152.0  1102.971819   613.547884
+    8    1280.0  1138.184560   671.634363
+    9    1408.0  1155.897226   724.090333
+    10   1536.0  1191.316485   778.447155
+    11   1664.0  1216.788990   809.628678
+    12   1792.0  1238.494639   858.334953
+    13   1920.0  1253.417042   908.037302
+    14   2048.0  1269.259338   953.436477
+    15   2176.0  1256.971745   975.439013
+    16   2304.0  1273.536301  1011.647880
+    17   2432.0  1293.589320  1052.346948
+    18   2560.0  1300.039855  1087.310601
+    19   2688.0  1313.709434  1098.697721
+    20   2816.0  1321.950869  1127.038728
+    21   2944.0  1321.396901  1167.914567
+    22   3072.0  1352.850905  1180.985293
+    23   3200.0  1350.322541  1194.869292
+    24   3328.0  1356.696780  1220.645876
+    25   3456.0  1370.160685  1247.851511
+    26   3584.0  1376.749220  1261.037051
+    27   3712.0  1387.322807  1265.337871
+    28   3840.0  1384.630822  1298.935824
+    29   3968.0  1392.280764  1312.133859
+    30   4096.0  1395.284741  1327.113740
+    31   4224.0  1333.870054  1157.573503
+    32   4352.0  1334.753963  1177.066793
+    33   4480.0  1354.228198  1183.200907
+    34   4608.0  1361.654589  1196.523793
+    35   4736.0  1356.343469  1199.647767
+    36   4864.0  1376.871385  1222.899944
+    37   4992.0  1368.337785  1238.186815
+    38   5120.0  1375.114021  1252.122355
+    39   5248.0  1371.741881  1254.659695
+    40   5376.0  1377.132400  1286.350160
+    41   5504.0  1374.163119  1296.429048
+    42   5632.0  1383.639491  1315.019705
+    43   5760.0  1394.006823  1323.923430
+    44   5888.0  1395.175890  1339.341988
+    45   6016.0  1398.239767  1356.552649
+    46   6144.0  1407.111343  1375.300442
+    47   6272.0  1414.286270  1376.879531
+    48   6400.0  1416.124408  1390.245667
+    49   6528.0  1413.135628  1396.274773
+    50   6656.0  1421.462948  1400.787411
+    51   6784.0  1405.418965  1413.893064
+    52   6912.0  1429.922242  1425.265663
+    53   7040.0  1420.268859  1431.970540
+    54   7168.0  1426.904234  1436.504632
+    55   7296.0  1428.848471  1439.903310
+    56   7424.0  1429.889980  1442.603892
+    57   7552.0  1427.233875  1454.240622
+    58   7680.0  1433.454680  1460.214321
+    59   7808.0  1429.409941  1466.211424
+    60   7936.0  1439.817454  1466.702774
+    61   8064.0  1435.910645  1471.880026
+    62   8192.0  1440.488795  1482.469613
+    63   8320.0  1385.196502  1403.558392
+    64   8448.0  1381.196296  1405.175146
+    65   8576.0  1394.654387  1392.750587
+    66   8704.0  1389.283047  1400.915735
+    67   8832.0  1381.447123  1404.645393
+    68   8960.0  1400.210307  1411.632670
+    69   9088.0  1409.877714  1415.073481
+    70   9216.0  1406.550586  1426.026518
+    71   9344.0  1398.570404  1423.363447
+    72   9472.0  1394.784036  1431.838719
+    73   9600.0  1396.219370  1432.961948
+    74   9728.0  1400.115561  1443.202285
+    75   9856.0  1413.348391  1442.315923
+    76   9984.0  1401.335040  1451.377582
+    77  10112.0  1412.219870  1452.109506
+    78  10240.0  1420.010313  1467.536831
+    79  10368.0  1413.298436  1463.078903
+    80  10496.0  1413.837933  1469.054667
+    81  10624.0  1410.845223  1465.886907
+    82  10752.0  1401.779613  1470.154689
+    83  10880.0  1399.075895  1483.569163
+    84  11008.0  1415.474194  1475.722004
+    85  11136.0  1422.763130  1482.443433
+    86  11264.0  1428.716004  1486.668993
+    87  11392.0  1416.737929  1486.493588
+    88  11520.0  1421.482944  1496.738310
+    89  11648.0  1423.347027  1500.292973
+    90  11776.0  1430.859961  1501.073525
+    91  11904.0  1443.636709  1505.693946
+    92  12032.0  1429.536656  1508.197570
+    93  12160.0  1420.532604  1508.366363
+    94  12288.0  1439.085584  1392.058470
+    95  12416.0  1446.501558  1390.692311
+    96  12544.0  1441.391276  1391.394575
+    97  12672.0  1446.591091  1393.094678
 
 
 
@@ -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 23.201 seconds)
+   **Total running time of the script:** (0 minutes 23.295 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
@@ -573,33 +573,33 @@ but feel free to arrange this script as you wish to benchmark any other matrix s
     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   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   87.808000
-    6   1024.0  1024.0  1024.0  104.857603   99.864382
+    6   1024.0  1024.0  1024.0  110.376426   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
-    10  1536.0  1536.0  1536.0  181.484314  157.286398
+    10  1536.0  1536.0  1536.0  176.947204  157.286398
     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  200.347822  168.585369
+    12  1792.0  1792.0  1792.0  172.914215  204.353162
+    13  1920.0  1920.0  1920.0  200.347822  166.554219
     14  2048.0  2048.0  2048.0  226.719125  192.841562
-    15  2176.0  2176.0  2176.0  209.621326  214.081356
-    16  2304.0  2304.0  2304.0  231.921091  231.921091
-    17  2432.0  2432.0  2432.0  206.576938  202.118452
-    18  2560.0  2560.0  2560.0  224.438347  219.919464
-    19  2688.0  2688.0  2688.0  200.704002  201.771569
-    20  2816.0  2816.0  2816.0  214.848312  213.795141
-    21  2944.0  2944.0  2944.0  223.479969  224.486628
-    22  3072.0  3072.0  3072.0  212.071554  212.868821
-    23  3200.0  3200.0  3200.0  217.687077  216.949149
+    15  2176.0  2176.0  2176.0  211.827867  211.827867
+    16  2304.0  2304.0  2304.0  231.921091  229.691080
+    17  2432.0  2432.0  2432.0  205.069087  205.069087
+    18  2560.0  2560.0  2560.0  224.438347  222.911566
+    19  2688.0  2688.0  2688.0  199.647657  200.704002
+    20  2816.0  2816.0  2816.0  212.752230  210.696652
+    21  2944.0  2944.0  2944.0  221.493479  223.479969
+    22  3072.0  3072.0  3072.0  208.941345  212.868821
+    23  3200.0  3200.0  3200.0  213.333323  220.689658
     24  3328.0  3328.0  3328.0  209.277023  209.887165
-    25  3456.0  3456.0  3456.0  221.487820  220.880999
-    26  3584.0  3584.0  3584.0  215.624440  215.624440
-    27  3712.0  3712.0  3712.0  213.000737  218.116474
-    28  3840.0  3840.0  3840.0  210.250955  209.851994
-    29  3968.0  3968.0  3968.0  212.585252  217.511464
-    30  4096.0  4096.0  4096.0  222.214781  221.847481
+    25  3456.0  3456.0  3456.0  214.419058  220.880999
+    26  3584.0  3584.0  3584.0  215.624440  213.069643
+    27  3712.0  3712.0  3712.0  210.310194  217.168134
+    28  3840.0  3840.0  3840.0  209.851994  209.454544
+    29  3968.0  3968.0  3968.0  210.749463  217.511464
+    30  4096.0  4096.0  4096.0  219.668951  220.029067
     matmul-performance-fp8:
              M       N       K      Triton
     0    256.0   256.0   256.0    3.276800
@@ -608,39 +608,39 @@ but feel free to arrange this script as you wish to benchmark any other matrix s
     3    640.0   640.0   640.0   32.000000
     4    768.0   768.0   768.0   42.130286
     5    896.0   896.0   896.0   58.538665
-    6   1024.0  1024.0  1024.0   63.550060
+    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
+    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  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  134.201527
-    17  2432.0  2432.0  2432.0  133.149115
-    18  2560.0  2560.0  2560.0  146.941707
-    19  2688.0  2688.0  2688.0  117.804519
-    20  2816.0  2816.0  2816.0  128.277083
+    16  2304.0  2304.0  2304.0  134.959733
+    17  2432.0  2432.0  2432.0  132.521057
+    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  139.988852
-    22  3072.0  3072.0  3072.0  143.713461
-    23  3200.0  3200.0  3200.0  140.350874
+    22  3072.0  3072.0  3072.0  144.079147
+    23  3200.0  3200.0  3200.0  139.737993
     24  3328.0  3328.0  3328.0  131.852184
     25  3456.0  3456.0  3456.0  139.725414
-    26  3584.0  3584.0  3584.0  149.113421
-    27  3712.0  3712.0  3712.0  142.000489
+    26  3584.0  3584.0  3584.0  148.620481
+    27  3712.0  3712.0  3712.0  141.698358
     28  3840.0  3840.0  3840.0  137.895263
     29  3968.0  3968.0  3968.0  147.016795
-    30  4096.0  4096.0  4096.0  156.796411
+    30  4096.0  4096.0  4096.0  154.985826
 
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 17.657 seconds)
+   **Total running time of the script:** (2 minutes 17.342 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
@@ -114,6 +114,8 @@ Let's first take a look at the baseline implementation.
 
  .. code-block:: none
 
+    /home/runner/_work/triton/triton/python/triton/language/semantic.py:1502: UserWarning: tl.where with a non-boolean condition is deprecated and will error out in a future triton release. Got int32
+      warnings.warn(
     ---------  -------  ---------  --------  --------  --------  --------  --------  --------  ---------  ---------
     input      1.541    -0.293429  -2.17879  0.568431  -1.08452  -1.3986   0.403347  0.838026  -0.719258  -0.403344
     keep mask  1         1          0        1          0         1        1         0          0          0
@@ -242,7 +244,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.730 seconds)
+   **Total running time of the script:** (0 minutes 0.703 seconds)
 
 
 .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py: