Merge pull request #675 from project-codeflare/odh-sync-updater-10418…

…058789

[Codeflare Action] Update notebook's pipfile to sync with Codeflare-SDK release 0.19.1

intel/runtimes/ml/ubi9-python-3.9/Pipfile

@@ -20,7 +20,7 @@ plotly = "~=5.16.1"
 scipy = "~=1.11.2"
 scikit-learn = "~=1.3.1"
 skl2onnx = "~=1.15.0"
-codeflare-sdk = "~=0.16.3"
+codeflare-sdk = "~=0.19.1"
 # DB connectors
 pymongo = "~=4.5.0"
 psycopg = "~=3.1.10"

jupyter/datascience/ubi9-python-3.9/Pipfile

@@ -17,7 +17,7 @@ scikit-learn = "~=1.4.0"
 scipy = "~=1.12.0"
 skl2onnx = "~=1.16.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.18.0"
+codeflare-sdk = "~=0.19.1"
 memray = "~=1.10.0"  # any version above this would cause issue with rich package
 # DB connectors
 pymongo = "~=4.6.2"

jupyter/intel/ml/ubi9-python-3.9/Pipfile

@@ -20,7 +20,7 @@ plotly = "~=5.16.1"
 scipy = "~=1.11.2"
 scikit-learn = "~=1.3.1"
 skl2onnx = "~=1.15.0"
-codeflare-sdk = "~=0.16.3"
+codeflare-sdk = "~=0.19.1"
 # DB connectors
 pymongo = "~=4.5.0"
 psycopg = "~=3.1.10"

jupyter/pytorch/ubi9-python-3.9/Pipfile

@@ -26,7 +26,7 @@ scikit-learn = "~=1.4.0"
 scipy = "~=1.12.0"
 skl2onnx = "~=1.16.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.18.0"
+codeflare-sdk = "~=0.19.1"
 memray = "~=1.10.0"  # any version above this would cause issue with rich package
 # DB connectors
 pymongo = "~=4.6.2"

jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile

@@ -17,7 +17,6 @@ tensorboard = "~=2.16.2"
 torch = {version = "~=2.4.0", index = "pytorch"}
 torchvision = {version = "~=0.19.0", index = "pytorch"} # https://pytorch.org/get-started/previous-versions/#linux-and-windows-1
 pytorch-triton-rocm = {version = "~=3.0.0", index = "pytorch"}
-
 # Datascience and useful extensions
 boto3 = "~=1.34.50"
 kafka-python = "~=2.0.2"
@@ -29,15 +28,13 @@ scikit-learn = "~=1.4.0"
 scipy = "~=1.12.0"
 skl2onnx = "~=1.16.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.18.0"
+codeflare-sdk = "~=0.19.1"
 memray = "~=1.10.0"  # any version above this would cause issue with rich package
-
 # DB connectors
 pymongo = "~=4.6.2"
 psycopg = "~=3.1.18"
 pyodbc = "~=5.1.0"
 mysql-connector-python = "~=8.3.0"
-
 # JupyterLab packages
 odh-elyra = "~=3.16.7"
 jupyterlab = "~=3.6.7" # Wait on upgrade till plugins are ready
@@ -54,7 +51,6 @@ nbgitpuller = "~=1.2.0"
 # Base packages
 wheel = "~=0.43.0"
 setuptools = "~=69.2.0"
-
 # conflict between python-lsp-server and following packages
 # due to pycodestyle dependency, pinning this, till we get 
 # a fix from python-lsp-server 

jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile

@@ -9,7 +9,6 @@ name = "pypi"
 tensorflow_rocm = {file = "https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1/tensorflow_rocm-2.15.0-cp39-cp39-manylinux2014_x86_64.whl"}
 tensorboard = "~=2.15.2"
 tf2onnx = "~= 1.16.1"
-
 # Datascience and useful extensions
 boto3 = "~=1.34.50"
 kafka-python = "~=2.0.2"
@@ -21,20 +20,17 @@ scikit-learn = "~=1.4.0"
 scipy = "~=1.12.0"
 skl2onnx = "~=1.16.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.18.0"
+codeflare-sdk = "~=0.19.1"
 memray = "~=1.10.0"  # any version above this would cause issue with rich package
-
 # DB connectors
 pymongo = "~=4.6.2"
 psycopg = "~=3.1.18"
 pyodbc = "~=5.1.0"
 mysql-connector-python = "~=8.3.0"
-
 # JupyterLab packages
 odh-elyra = "~=3.16.7"
 kfp = "~=2.5.0"
 kfp-kubernetes = "~=1.0.0"
-
 jupyterlab = "~=3.6.7" # Wait on upgrade till plugins are ready
 jupyter-bokeh = "~=3.0.7" # Upgrade would bring in jupyterlab 4
 jupyter-server = "~=2.13.0"
@@ -46,13 +42,11 @@ jupyterlab-widgets = "~=3.0.10"
 jupyter-resource-usage = "~=0.7.2"
 nbdime = "~=3.2.1"
 nbgitpuller = "~=1.2.0"
-
 # conflict between python-lsp-server and following packages
 # due to pycodestyle dependency, pinning this, till we get 
 # a fix from python-lsp-server 
 autopep8 = "~=2.0.4"
 flake8 = "~=7.0.0"
-
 # Base packages
 wheel = "~=0.43.0"
 setuptools = "~=69.2.0"

jupyter/tensorflow/ubi9-python-3.9/Pipfile

@@ -21,7 +21,7 @@ scikit-learn = "~=1.4.0"
 scipy = "~=1.12.0"
 skl2onnx = "~=1.16.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.18.0"
+codeflare-sdk = "~=0.19.1"
 memray = "~=1.10.0"  # any version above this would cause issue with rich package
 # DB connectors
 pymongo = "~=4.6.2"

jupyter/trustyai/ubi9-python-3.9/Pipfile

@@ -19,7 +19,7 @@ scikit-learn = "~=1.4.0"
 scipy = "~=1.12.0"
 skl2onnx = "~=1.16.0"
 onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.18.0"
+codeflare-sdk = "~=0.19.1"
 memray = "~=1.10.0"  # any version above this would cause issue with rich package
 # DB connectors
 pymongo = "~=4.6.2"