Update tensorflow to 2.19.0

For the tensorflow CUDA images, when trying to build them on aarch64,
the `pip install` stage fails because of the lack of support for the
version of nvidia-nccl-cu12 (2.21.5) requested by tensorflow
2.18. Since it's a proprietary package, there also isn't a source
distribution, so it can't just be compiled at installation time.

Updating to tensorflow 2.19.0 pulls in a newer
nvidia-nccl-cu12 (2.23.4), which does have wheels available for both
x86_64 and aarch64 on PyPI.

Author: grdryn

jupyter/tensorflow/ubi9-python-3.12/Pipfile

@@ -10,8 +10,8 @@ tf2onnx = "~=1.16.1"
 
 [packages]
 # TensorFlow packages
-tensorflow = {version = "~=2.18.0", extras = ["and-cuda"]}
-tensorboard = "~=2.18.0"
+tensorflow = {version = "~=2.19.0", extras = ["and-cuda"]}
+tensorboard = "~=2.19.0"
 
 # Datascience and useful extensions
 boto3 = "~=1.37.8"

jupyter/tensorflow/ubi9-python-3.12/Pipfile.lock

@@ -910,32 +910,8 @@ h11==0.16.0; python_version >= '3.8' \
     --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \
     --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86
 h5py==3.14.0; python_version >= '3.9' \
-    --hash=sha256:016e89d3be4c44f8d5e115fab60548e518ecd9efe9fa5c5324505a90773e6f03 \
     --hash=sha256:0cbd41f4e3761f150aa5b662df991868ca533872c95467216f2bec5fcad84882 \
-    --hash=sha256:1223b902ef0b5d90bcc8a4778218d6d6cd0f5561861611eda59fa6c52b922f4d \
-    --hash=sha256:2372116b2e0d5d3e5e705b7f663f7c8d96fa79a4052d250484ef91d24d6a08f4 \
-    --hash=sha256:24df6b2622f426857bda88683b16630014588a0e4155cba44e872eb011c4eaed \
-    --hash=sha256:4f025cf30ae738c4c4e38c7439a761a71ccfcce04c2b87b2a2ac64e8c5171d43 \
-    --hash=sha256:543877d7f3d8f8a9828ed5df6a0b78ca3d8846244b9702e99ed0d53610b583a8 \
-    --hash=sha256:554ef0ced3571366d4d383427c00c966c360e178b5fb5ee5bb31a435c424db0c \
-    --hash=sha256:573c33ad056ac7c1ab6d567b6db9df3ffc401045e3f605736218f96c1e0490c6 \
-    --hash=sha256:5e59d2136a8b302afd25acdf7a89b634e0eb7c66b1a211ef2d0457853768a2ef \
-    --hash=sha256:6da62509b7e1d71a7d110478aa25d245dd32c8d9a1daee9d2a42dba8717b047a \
-    --hash=sha256:6ff2389961ee5872de697054dd5a033b04284afc3fb52dc51d94561ece2c10c6 \
-    --hash=sha256:723a40ee6505bd354bfd26385f2dae7bbfa87655f4e61bab175a49d72ebfc06b \
-    --hash=sha256:852b81f71df4bb9e27d407b43071d1da330d6a7094a588efa50ef02553fa7ce4 \
-    --hash=sha256:8c497600c0496548810047257e36360ff551df8b59156d3a4181072eed47d8ad \
-    --hash=sha256:aa4b7bbce683379b7bf80aaba68e17e23396100336a8d500206520052be2f812 \
-    --hash=sha256:ae18e3de237a7a830adb76aaa68ad438d85fe6e19e0d99944a3ce46b772c69b3 \
-    --hash=sha256:bf4897d67e613ecf5bdfbdab39a1158a64df105827da70ea1d90243d796d367f \
-    --hash=sha256:ccbe17dc187c0c64178f1a10aa274ed3a57d055117588942b8a08793cc448216 \
-    --hash=sha256:d2744b520440a996f2dae97f901caa8a953afc055db4673a993f2d87d7f38713 \
-    --hash=sha256:d90e6445ab7c146d7f7981b11895d70bc1dd91278a4f9f9028bc0c95e4a53f13 \
-    --hash=sha256:e0045115d83272090b0717c555a31398c2c089b87d212ceba800d3dc5d952e23 \
-    --hash=sha256:e8cbaf6910fa3983c46172666b0b8da7b7bd90d764399ca983236f2400436eeb \
-    --hash=sha256:ef9603a501a04fcd0ba28dd8f0995303d26a77a980a1f9474b3417543d4c6174 \
-    --hash=sha256:f30dbc58f2a0efeec6c8836c97f6c94afd769023f44e2bb0ed7b17a16ec46088 \
-    --hash=sha256:f5cc1601e78027cedfec6dd50efb4802f018551754191aeb58d948bd3ec3bd7a
+    --hash=sha256:2372116b2e0d5d3e5e705b7f663f7c8d96fa79a4052d250484ef91d24d6a08f4
 httpcore==1.0.9; python_version >= '3.8' \
     --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \
     --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8
@@ -1607,8 +1583,9 @@ nvidia-cusparse-cu12==12.5.1.3; python_version >= '3' \
     --hash=sha256:016df8e993c437e8301e62739f01775cba988fd5253cd4c64173f8e8d2f8e752 \
     --hash=sha256:33520db374e2f5ebc976d6faa1852b98c398a57e6f71150fe59705928596ffd1 \
     --hash=sha256:7b97fd01f0a61628af99d0efd52132fccc8c18fc5c509f13802dccf0574a19c2
-nvidia-nccl-cu12==2.21.5; python_version >= '3' \
-    --hash=sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0
+nvidia-nccl-cu12==2.23.4; python_version >= '3' \
+    --hash=sha256:aa946c8327e22ced28e7cef508a334673abc42064ec85f02d005ba1785ea4cec \
+    --hash=sha256:b097258d9aab2fa9f686e33c6fe40ae57b27df60cedbd15d139701bb5509e0c1
 nvidia-nvjitlink-cu12==12.5.82; python_version >= '3' \
     --hash=sha256:98103729cc5226e13ca319a10bbf9433bbbd44ef64fe72f45f067cacc14b8d27 \
     --hash=sha256:e782564d705ff0bf61ac3e1bf730166da66dd2fe9012f111ede5fc49b64ae697 \
@@ -2901,29 +2878,29 @@ tabulate==0.9.0; python_version >= '3.7' \
 tenacity==9.1.2; python_version >= '3.9' \
     --hash=sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb \
     --hash=sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138
-tensorboard==2.18.0; python_version >= '3.9' \
-    --hash=sha256:107ca4821745f73e2aefa02c50ff70a9b694f39f790b11e6f682f7d326745eab
+tensorboard==2.19.0; python_version >= '3.9' \
+    --hash=sha256:5e71b98663a641a7ce8a6e70b0be8e1a4c0c45d48760b076383ac4755c35b9a0
 tensorboard-data-server==0.7.2; python_version >= '3.7' \
     --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \
     --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
     --hash=sha256:ef687163c24185ae9754ed5650eb5bc4d84ff257aabdc33f0cc6f74d8ba54530
-tensorflow[and-cuda]==2.18.1; python_version >= '3.9' \
-    --hash=sha256:0f84a4c87a30cfb279c30b0077541cb5aaac7506d32adde585adb185277e49d2 \
-    --hash=sha256:1ba52b9c06ab8102b31e50acfaf56899b923171e603c8942f2bfeb181d6bb59e \
-    --hash=sha256:1c0cd29c323908ed35ce72fbcce66f2ef7c8657f9c5024860ffd7ea64cf5d35d \
-    --hash=sha256:1f929842999d60e7da67743ae5204b477259f3b771c02e5e437d232267e49f18 \
-    --hash=sha256:210baf6d421f3e044b6e09efd04494a33b75334922fe6cf11970e2885172620a \
-    --hash=sha256:2dd7284768f5a6b10e41a700e8141de70756dc62ed5d0b93360d131ccc0a6ba8 \
-    --hash=sha256:442d2a774811789a8ad948e7286cb950fe3d87d3754e8cc6449d53b03dbfdaa6 \
-    --hash=sha256:4ecbb9b3cd3f223ff6861faa1a4c2719c138d870dba90545826685b1c5ba5901 \
-    --hash=sha256:661029cd769b311db910b79a3a6ef50a5a61ecc947172228c777a49989722508 \
-    --hash=sha256:8a6485edd2148f70d011dbd1d8dc2c775e91774a5a159466e83d0d1f21580944 \
-    --hash=sha256:8baba2b0f9f286f8115a0005d17c020d2febf95e434302eaf758f2020c1c4de5 \
-    --hash=sha256:98afa9c7f21481cdc6ccd09507a7878d533150fbb001840cc145e2132eb40942 \
-    --hash=sha256:99223d0dde08aec4ceebb3bf0f80da7802e18462dab0d5048225925c064d2af7 \
-    --hash=sha256:c9f87e5d2a680a4595f5dc30daf6bbaec9d4129b46d7ef1b2af63c46ac7d2828 \
-    --hash=sha256:db1d186c17b6a7c51813e275d0a83e964669822372aa01d074cf64b853ee76ac \
-    --hash=sha256:e0ffa318b969779baad01a11e7799dda9677ee33ccbbcdbf7b735c27f53d2a9b
+tensorflow[and-cuda]==2.19.0; python_version >= '3.9' \
+    --hash=sha256:10f4bfbd33ee23408b98c67e63654f4697845f005555dcc6b790ecfaeabd1308 \
+    --hash=sha256:2b39293cae3aeee534dc4746dc6097b48c281e5e8b9a423efbd14d4495968e5c \
+    --hash=sha256:390747786ac979809fa1cfcf6916220ef0bfed6b9e1b8c643b6b09184a868fe4 \
+    --hash=sha256:5eae58946f5a22f4d5656a95e54c5d7aae5a5483c388922a207667d8858c37b9 \
+    --hash=sha256:68d462278ad88c193c16d7b905864ff0117d61dc20deded9264d1999d513c115 \
+    --hash=sha256:821916beebd541c95b451dd911af442e11a7cb3aabde9084cab2be5c4d8b2bae \
+    --hash=sha256:83e2d6c748105488205d30e43093f28fc90e8da0176db9ddee12e2784cf435e8 \
+    --hash=sha256:849f72820e2bb1bfd4f6446d09db4635896f2ceaa35212a98a1238c9439f6f93 \
+    --hash=sha256:88c594d98bbe6d81d069f418ae823b03f7273c8b612d7073a09373483f212d9a \
+    --hash=sha256:9cb87fb2052b819adffb749b7e9426bd109c8cf98751e684de73567424ab2a88 \
+    --hash=sha256:ad15dbf488e287127a18e2274c64a201ea50ee32444a84657ead72d10438cb09 \
+    --hash=sha256:ade03804d81e696f8b9045bbe2dd5d0146e36c63d85bf2eae8225ffa74a03713 \
+    --hash=sha256:c92d3ff958ac0ee0eb343f10d4055b3a2815635cb3ee0836f9b1d735c76ee098 \
+    --hash=sha256:c95604f25c3032e9591c7e01e457fdd442dde48e9cc1ce951078973ab1b4ca34 \
+    --hash=sha256:d3f47452246bd08902f0c865d3839fa715f1738d801d256934b943aa21c5a1d2 \
+    --hash=sha256:e28b26594cd793e7f52471b8f2d98aafc6d232868a366462d238f7967935a6f6
 termcolor==2.3.0; python_version >= '3.7' \
     --hash=sha256:3afb05607b89aed0ffe25202399ee0867ad4d3cb4180d98aaf8eefa6a5f7d475 \
     --hash=sha256:b5b08f68937f138fe92f6c089b99f1e2da0ae56c52b78bf7075fd95420fd9a5a

jupyter/tensorflow/ubi9-python-3.12/requirements.txt

@@ -10,8 +10,8 @@ tf2onnx = "~=1.16.1"
 
 [packages]
 # TensorFlow packages
-tensorflow = {version = "~=2.18.0", extras = ["and-cuda"]}
-tensorboard = "~=2.18.0"
+tensorflow = {version = "~=2.19.0", extras = ["and-cuda"]}
+tensorboard = "~=2.19.0"
 
 # Datascience and useful extensions
 boto3 = "~=1.37.8"