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RHOAIENG-18933: removal of the huggingface dependency in our images (opendatahub-io#893)
* RHOAIENG-18933: removal of the huggingface dependency in our images It was decided that we'll keep the kubeflow-training python package installed as introduced via [1] but we will ditch the extra dependency on the huggingface package which causes huge bump in our image sizes. [1] https://issues.redhat.com/browse/RHOAIENG-12822 * https://issues.redhat.com/browse/RHOAIENG-18933 * Update Pipfile.lock files by piplock-renewal.yaml action --------- Co-authored-by: GitHub Actions <github-actions[bot]@users.noreply.github.com>
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codeserver/ubi9-python-3.11/Pipfile

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@@ -26,7 +26,7 @@ scikit-learn = "~=1.4.0"
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scipy = "~=1.12.0"
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skl2onnx = "~=1.16.0"
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ipykernel = "~=6.29.3"
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kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
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kubeflow-training = "==1.8.1"
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# Some extra useful packages
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opencensus = "~=0.11.4"

codeserver/ubi9-python-3.11/Pipfile.lock

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codeserver/ubi9-python-3.11/requirements.txt

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jupyter/datascience/ubi9-python-3.11/Pipfile

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skl2onnx = "~=1.17.0"
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onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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codeflare-sdk = "~=0.26.0"
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kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
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kubeflow-training = "==1.8.1"
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# DB connectors
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pymongo = "~=4.8.0"

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

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jupyter/datascience/ubi9-python-3.11/requirements.txt

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

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jupyter/minimal/ubi9-python-3.11/requirements.txt

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#
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# Default dependencies
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#
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aiohappyeyeballs==2.4.4; python_version >= '3.8' \
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--hash=sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745 \
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--hash=sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8
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aiohappyeyeballs==2.4.6; python_version >= '3.9' \
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--hash=sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1 \
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--hash=sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0
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aiohttp==3.11.12; python_version >= '3.9' \
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--hash=sha256:0450ada317a65383b7cce9576096150fdb97396dcfe559109b403c7242faffef \
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--hash=sha256:0b5263dcede17b6b0c41ef0c3ccce847d82a7da98709e75cf7efde3e9e3b5cae \

jupyter/pytorch/ubi9-python-3.11/Pipfile

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skl2onnx = "~=1.17.0"
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onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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codeflare-sdk = "~=0.26.0"
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kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
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kubeflow-training = "==1.8.1"
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# DB connectors
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pymongo = "~=4.8.0"

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

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jupyter/pytorch/ubi9-python-3.11/requirements.txt

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jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile

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skl2onnx = "~=1.17.0"
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onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
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codeflare-sdk = "~=0.26.0"
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kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"}
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kubeflow-training = "==1.8.1"
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# DB connectors
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pymongo = "~=4.8.0"

jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile.lock

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jupyter/rocm/pytorch/ubi9-python-3.11/requirements.txt

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jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile.lock

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