feat(deps): add kubeflow-training to workbench images

This commit adds `kubeflow-training[huggingface]` to the following workbench images:
- `./jupyter/datascience/ubi9-python-3.11`
- `./jupyter/pytorch/ubi9-python-3.11`
- `./jupyter/rocm/pytorch/ubi9-python-3.11`
- `./jupyter/trustyai/ubi9-python-3.11`
- `./codeserver/ubi9-python-3.11`

This outcome comes with a slew of caveats and disclaimers:
- Due to a dependency conflict, `codeflare-sdk==0.24.3` was **also** pulled into the following workbench images.
	- `./jupyter/datascience/ubi9-python-3.11`
	- `./jupyter/pytorch/ubi9-python-3.11`
	- `./jupyter/rocm/pytorch/ubi9-python-3.11`
	- `./jupyter/trustyai/ubi9-python-3.11`
- ⚠️ In what may be a "controversial" decision, `codeflare-sdk` was **NOT** updated on other workbench images.  Since `0.24.3` was a "one-off" release to unblock the `kubeflow-training` inclusion - the thought process here is that normal "sync" procedures on the next official release will standardize the `codeflare-sdk` dependency across all workbench images.  This allows us to restrict the testing effort of this commit.
    - However, as of 2bd35f7, `codeflare-sdk` `0.24.3` was being pulled into our `Pipfile.lock` file - which is why you won't see `Pipfile.lock` addition of `codeflare-sdk` on **this PR**
- `jupyter/minmal/ubi9-python-3.11` was deliberately excluded from receiving `kubeflow-training` per discussions with team.
- Due to dependency conflicts discovered `tensorflow`-based workbench images,`kubeflow-training` has not been added to those workbench images at this time.  This decision was agreed to by affect stakeholders.  Core blocking issue can be seen here:
	- See #2328 in https://github.com/onnx/tensorflow-onnx/issues
- Due to a dependency conflict, `transformers = "==4.38.0"` was **also** added to the`./jupyter/trustyai/ubi9-python-3.11` workbench image after discussion with the developer that last worked on the `trustyai` image.  While it certainly must be tested, there was no strict requirement that necessitated pinning the `transformers` dependency to `4.36.2` - and the `huggingface` `extras` now introduces a `4.38.0` constraint for `transformers`.

Related-to: https://issues.redhat.com/browse/RHOAIENG-12822

Author: andyatmiami

codeserver/ubi9-python-3.11/Pipfile

@@ -26,8 +26,9 @@ scikit-learn = "~=1.4.0"
 scipy = "~=1.12.0"
 skl2onnx = "~=1.16.0"
 ipykernel = "~=6.29.3"
+kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
 
-# Some extra usefull packages
+# Some extra useful packages
 opencensus = "~=0.11.4"
 smart-open = "~=7.0.1"
 virtualenv = "~=20.25.1"

codeserver/ubi9-python-3.11/Pipfile.lock

@@ -18,7 +18,8 @@ scikit-learn = "~=1.5.1"
 scipy = "~=1.14.1"
 skl2onnx = "~=1.17.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.24.0"
+codeflare-sdk = "~=0.24.3"
+kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
 
 # DB connectors
 pymongo = "~=4.8.0"

jupyter/datascience/ubi9-python-3.11/Pipfile

@@ -28,7 +28,8 @@ scikit-learn = "~=1.5.1"
 scipy = "~=1.14.1"
 skl2onnx = "~=1.17.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.24.0"
+codeflare-sdk = "~=0.24.3"
+kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
 
 # DB connectors
 pymongo = "~=4.8.0"

jupyter/datascience/ubi9-python-3.11/Pipfile.lock

@@ -30,7 +30,8 @@ scikit-learn = "~=1.5.1"
 scipy = "~=1.14.1"
 skl2onnx = "~=1.17.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.24.0"
+codeflare-sdk = "~=0.24.3"
+kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
 
 # DB connectors
 pymongo = "~=4.8.0"

jupyter/pytorch/ubi9-python-3.11/Pipfile

@@ -14,7 +14,7 @@ name = "pytorch"
 # PyTorch packages
 torch = {version = "~=2.2.1", index = "pytorch"}
 # TrustyAI packages
-transformers = "~=4.36.2"
+transformers = "~=4.38.0"
 datasets = "~=2.21.0"
 accelerate = "~=0.34.2"
 trustyai = "~=0.6.1"
@@ -30,7 +30,8 @@ scikit-learn = "~=1.2.1" # Should be pinned down to this version in order to be
 scipy = "~=1.14.1"
 skl2onnx = "~=1.17.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.24.0"
+codeflare-sdk = "~=0.24.3"
+kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
 
 # DB connectors
 pymongo = "~=4.8.0"