diff --git a/.github/workflows/build-notebooks-TEMPLATE.yaml b/.github/workflows/build-notebooks-TEMPLATE.yaml index 02ea17e05..f0ac71272 100644 --- a/.github/workflows/build-notebooks-TEMPLATE.yaml +++ b/.github/workflows/build-notebooks-TEMPLATE.yaml @@ -22,6 +22,8 @@ jobs: env: # GitHub image registry used for storing $(CONTAINER_ENGINE)'s cache CACHE: "ghcr.io/${{ github.repository }}/workbench-images/build-cache" + # Targets (and their folder) that should be scanned using FS instead of IMAGE scan due to resource constraints + TRIVY_SCAN_FS_JSON: '{"rocm-jupyter-pytorch-ubi9-python-3.9": "jupyter/rocm/pytorch/ubi9-python-3.9"}' steps: @@ -113,10 +115,12 @@ jobs: # https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows#push - name: "push|schedule: make ${{ inputs.target }}" - run: "make ${{ inputs.target }}" + run: | + SANITIZED_REF_NAME=$(echo "${{ github.ref_name }}" | sed 's/[^a-zA-Z0-9._-]/_/g') + export IMAGE_TAG="${SANITIZED_REF_NAME}_${{ github.sha }}" + make ${{ inputs.target }} if: ${{ fromJson(inputs.github).event_name == 'push' || fromJson(inputs.github).event_name == 'schedule' }} env: - IMAGE_TAG: "${{ github.ref_name }}_${{ github.sha }}" IMAGE_REGISTRY: "ghcr.io/${{ github.repository }}/workbench-images" CONTAINER_BUILD_CACHE_ARGS: "--cache-from ${{ env.CACHE }} --cache-to ${{ env.CACHE }}" @@ -138,27 +142,42 @@ jobs: - name: "Show podman images information" run: podman images - - name: "pull_request|schedule: resolve image name if Trivy scan should run" - id: resolve-image + - name: "pull_request|schedule: resolve target if Trivy scan should run" + id: resolve-target if: ${{ fromJson(inputs.github).event_name == 'pull_request' || fromJson(inputs.github).event_name == 'schedule' }} env: EVENT_NAME: ${{ fromJson(inputs.github).event_name }} HAS_TRIVY_LABEL: ${{ contains(fromJson(inputs.github).event.pull_request.labels.*.name, 'trivy-scan') }} + FS_SCAN_FOLDER: ${{ fromJson(env.TRIVY_SCAN_FS_JSON)[inputs.target] }} run: | if [[ "$EVENT_NAME" == "pull_request" && "$HAS_TRIVY_LABEL" == "true" ]]; then - IMAGE_NAME="localhost:5000/workbench-images:${{ inputs.target }}-${{ github.sha }}" - echo "image=$IMAGE_NAME" >> $GITHUB_OUTPUT + if [[ -n "$FS_SCAN_FOLDER" ]]; then + TARGET="$FS_SCAN_FOLDER" + TYPE="fs" + else + TARGET="localhost:5000/workbench-images:${{ inputs.target }}-${{ github.sha }}" + TYPE="image" + fi elif [[ "$EVENT_NAME" == "schedule" ]]; then - IMAGE_NAME="ghcr.io/${{ github.repository }}/workbench-images:${{ inputs.target }}-${{ github.ref_name }}_${{ github.sha }}" - echo "image=$IMAGE_NAME" >> $GITHUB_OUTPUT + if [[ -n "$FS_SCAN_FOLDER" ]]; then + TARGET="$FS_SCAN_FOLDER" + TYPE="fs" + else + TARGET="ghcr.io/${{ github.repository }}/workbench-images:${{ inputs.target }}-${{ github.ref_name }}_${{ github.sha }}" + TYPE="image" + fi fi - if [[ -z "$IMAGE_NAME" ]]; then + if [[ -n "$TARGET" ]]; then + echo "target=$TARGET" >> $GITHUB_OUTPUT + echo "type=$TYPE" >> $GITHUB_OUTPUT + echo "Trivy scan will run on $TARGET ($TYPE)" + else echo "Trivy scan won't run" fi - name: Run Trivy vulnerability scanner - if: ${{ steps.resolve-image.outputs.image }} + if: ${{ steps.resolve-target.outputs.target }} run: | TRIVY_VERSION=0.53.0 REPORT_FOLDER=${{ github.workspace }}/report @@ -168,22 +187,31 @@ jobs: mkdir -p $REPORT_FOLDER cp ci/$REPORT_TEMPLATE $REPORT_FOLDER - IMAGE_NAME=${{ steps.resolve-image.outputs.image }} - echo "Scanning $IMAGE_NAME" + SCAN_TARGET=${{ steps.resolve-target.outputs.target }} + SCAN_TYPE=${{ steps.resolve-target.outputs.type }} + echo "Scanning $SCAN_TARGET ($SCAN_TYPE)" + + if [[ "$SCAN_TYPE" == "image" ]]; then + SCAN_ARGS="--image-src podman --podman-host /var/run/podman/podman.sock" + PODMAN_ARGS="-v ${PODMAN_SOCK}:/var/run/podman/podman.sock" + elif [[ "$SCAN_TYPE" == "fs" ]]; then + WORKSPACE_FOLDER="/workspace" + SCAN_TARGET="$WORKSPACE_FOLDER/$SCAN_TARGET" + PODMAN_ARGS="-v ${{ github.workspace }}:$WORKSPACE_FOLDER" + fi # have trivy access podman socket, # https://github.com/aquasecurity/trivy/issues/580#issuecomment-666423279 podman run --rm \ - -v ${PODMAN_SOCK}:/var/run/podman/podman.sock \ + $PODMAN_ARGS \ -v ${REPORT_FOLDER}:/report \ docker.io/aquasec/trivy:$TRIVY_VERSION \ - image \ - --image-src podman \ - --podman-host /var/run/podman/podman.sock \ + $SCAN_TYPE \ + $SCAN_ARGS \ --scanners vuln --ignore-unfixed \ --exit-code 0 --timeout 30m \ --format template --template "@/report/$REPORT_TEMPLATE" -o /report/$REPORT_FILE \ - $IMAGE_NAME + $SCAN_TARGET cat $REPORT_FOLDER/$REPORT_FILE >> $GITHUB_STEP_SUMMARY diff --git a/.github/workflows/build-notebooks.yaml b/.github/workflows/build-notebooks.yaml index ef9d9258f..dee9374c9 100644 --- a/.github/workflows/build-notebooks.yaml +++ b/.github/workflows/build-notebooks.yaml @@ -471,6 +471,28 @@ }, "secrets": "inherit" }, + "rocm-runtime-pytorch-ubi9-python-3_9": { + "needs": [ + "rocm-ubi9-python-3_9" + ], + "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", + "with": { + "target": "rocm-runtime-pytorch-ubi9-python-3.9", + "github": "${{ toJSON(github) }}" + }, + "secrets": "inherit" + }, + "rocm-runtime-tensorflow-ubi9-python-3_9": { + "needs": [ + "rocm-ubi9-python-3_9" + ], + "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", + "with": { + "target": "rocm-runtime-tensorflow-ubi9-python-3.9", + "github": "${{ toJSON(github) }}" + }, + "secrets": "inherit" + }, "base-anaconda-python-3_8": { "needs": [], "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", diff --git a/Makefile b/Makefile index 58b05371f..3d2ccf79f 100644 --- a/Makefile +++ b/Makefile @@ -283,6 +283,16 @@ rocm-jupyter-tensorflow-ubi9-python-3.9: rocm-jupyter-datascience-ubi9-python-3. rocm-jupyter-pytorch-ubi9-python-3.9: rocm-jupyter-datascience-ubi9-python-3.9 $(call image,$@,jupyter/rocm/pytorch/ubi9-python-3.9,$<) +# Build and push rocm-jupyter-runtime-pytorch-ubi9-python-3.9 image to the registry +.PHONY: rocm-runtime-pytorch-ubi9-python-3.9 +rocm-runtime-pytorch-ubi9-python-3.9: rocm-ubi9-python-3.9 + $(call image,$@,runtimes/rocm-pytorch/ubi9-python-3.9,$<) + +# Build and push rocm-jupyter-runtime-tensorflow-ubi9-python-3.9 image to the registry +.PHONY: rocm-runtime-tensorflow-ubi9-python-3.9 +rocm-runtime-tensorflow-ubi9-python-3.9: rocm-ubi9-python-3.9 + $(call image,$@,runtimes/rocm-tensorflow/ubi9-python-3.9,$<) + ####################################### Buildchain for Anaconda Python ####################################### # Build and push base-anaconda-python-3.8 image to the registry @@ -572,6 +582,10 @@ refresh-pipfilelock-files: cd runtimes/pytorch/ubi8-python-3.8 && pipenv lock cd runtimes/tensorflow/ubi8-python-3.8 && pipenv lock cd runtimes/tensorflow/ubi9-python-3.9 && pipenv lock + cd runtimes/rocm-tensorflow/ubi9-python-3.9 && pipenv lock + cd runtimes/rocm-pytorch/ubi9-python-3.9 && pipenv lock + + # This is only for the workflow action # For running manually, set the required environment variables diff --git a/habana/1.10.0/ubi8-python-3.8/Pipfile b/habana/1.10.0/ubi8-python-3.8/Pipfile index e2df2e55c..2c333ba2d 100644 --- a/habana/1.10.0/ubi8-python-3.8/Pipfile +++ b/habana/1.10.0/ubi8-python-3.8/Pipfile @@ -33,7 +33,7 @@ pybind11 = "==2.6.2" elyra-pipeline-editor-extension = "~=3.15.0" elyra-python-editor-extension = "~=3.15.0" elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" +kfp-tekton = "==1.5.7" # pinned to avoid upgrade of pyyaml which is required. boto3 = "~=1.26.165" kafka-python = "~=2.0.2" matplotlib = "~=3.6.3" @@ -45,12 +45,12 @@ scipy = "~=1.10.1" jupyter-bokeh = "~=3.0.5" jupyterlab-lsp = "~=3.10.2" jupyterlab-widgets = "~=3.0.5" -jupyter-resource-usage = "~=0.6.0" +jupyter-resource-usage = "~=0.7.2" # Parent image requirements to maintain cohesion jupyterlab = "~=3.5.3" jupyter-server = "~=2.1.0" -jupyter-server-proxy = "~=3.2.2" +jupyter-server-proxy = "~=3.2.4" jupyter-server-terminals = "~=0.4.4" jupyterlab-git = "~=0.41.0" nbdime = "~=3.1.1" @@ -58,5 +58,11 @@ nbgitpuller = "~=1.1.1" # --- wheel = "~=0.38.4" +# 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" + [requires] python_version = "3.8" diff --git a/habana/1.10.0/ubi8-python-3.8/Pipfile.lock b/habana/1.10.0/ubi8-python-3.8/Pipfile.lock index 1d62fecb1..97b9fcdc4 100644 --- a/habana/1.10.0/ubi8-python-3.8/Pipfile.lock +++ b/habana/1.10.0/ubi8-python-3.8/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "f9d1627b8c94140310a4fa7d929c19b9d2ba5930b1e81263cb42c619bf9fa31b" + "sha256": "3886f50647f504b4023b69c3c8fc50ef2b3792c244dc647c0d51308e381efc36" }, "pipfile-spec": 6, "requires": { @@ -26,96 +26,85 @@ }, "aiohttp": { "hashes": [ - "sha256:00ad4b6f185ec67f3e6562e8a1d2b69660be43070bd0ef6fcec5211154c7df67", - "sha256:0175d745d9e85c40dcc51c8f88c74bfbaef9e7afeeeb9d03c37977270303064c", - 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a/jupyter/datascience/ubi9-python-3.9/Pipfile b/jupyter/datascience/ubi9-python-3.9/Pipfile index 573878ace..8c099c408 100644 --- a/jupyter/datascience/ubi9-python-3.9/Pipfile +++ b/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 = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors pymongo = "~=4.6.2" diff --git a/jupyter/datascience/ubi9-python-3.9/Pipfile.lock b/jupyter/datascience/ubi9-python-3.9/Pipfile.lock index 27b028bea..8dbeda303 100644 --- a/jupyter/datascience/ubi9-python-3.9/Pipfile.lock +++ b/jupyter/datascience/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "182e5c882f08cbc5a2803d382fa99b0d2e6d7ae4f4c73e49322ab7c88c401bd8" + "sha256": "18cdcbdced89e25b92da4636e11c458edecb28208350a8fe06e0b9d6fc667169" }, "pipfile-spec": 6, "requires": { @@ -21,7 +21,7 @@ "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad", "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6" ], - "markers": "python_version >= '3.7' and python_version < '4.0'", + "markers": "python_version < '4' and python_full_version >= '3.7.0'", "version": "==22.1.0" }, "aiohttp": { @@ -118,7 +118,7 @@ "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc", "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==1.3.1" }, "aiosqlite": { @@ -157,7 +157,7 @@ "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08", "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==23.1.0" }, "argon2-cffi-bindings": { @@ -200,7 +200,7 @@ "sha256:0e14202810b30da1b735827f78f5157be2bbd4a7a59b7707ca0bfc2fb4c0063a", "sha256:413658a61eeca6202a59231abb473f932038fbcbf1666587f66d482083413a25" ], - "markers": "python_full_version >= '3.8.0'", + "markers": "python_version >= '3.8'", "version": "==3.2.4" }, "asttokens": { @@ -223,7 +223,7 @@ "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30", "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==23.2.0" }, "autopep8": { @@ -273,7 +273,7 @@ "sha256:cf69eaf5185fd58f268f805b505ce31f9b9fc2d64b376642164e9244540c1221", "sha256:f4f4acf526fcd1c34e7ce851147deedd4e26e6402369304220250598b26448db" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==4.2.0" }, "beautifulsoup4": { @@ -322,35 +322,34 @@ }, "bokeh": { "hashes": [ - "sha256:931a43ee59dbf1720383ab904f8205e126b85561aac55592415b800c96f1b0eb", - "sha256:a16d5cc0abb93d2d270d70fc35851f3e1b9208814a985a4678e0ba5ef2d9cd42" + "sha256:b7c22fb0f7004b04f12e1b7b26ee0269a26737a08ded848fb58f6a34ec1eb155", + "sha256:c6f33817f866fc67fbeb5df79cd13a8bb592c05c591f3fd7f4f22b824f7afa01" ], "markers": "python_version >= '3.9'", - "version": "==3.4.2" + "version": "==3.4.3" }, "boto3": { "hashes": [ - "sha256:5686fe2a6d1aa1de8a88e9589cdcc33361640d3d7a13da718a30717248886124", - "sha256:7ec568fb19bce82a70be51f08fddac1ef927ca3fb0896cbb34303a012ba228d8" + "sha256:894b222f7850b870a7ac63d7e378ac36c5c34375da24ddc30e131d9fafe369dc", + "sha256:ad648c89a4935590a69341e5430fc42a021489a22de171ee3fd7bb204f9ef0fa" ], "index": "pypi", - "markers": "python_version >= '3.8'", - "version": "==1.34.146" + "version": "==1.34.150" }, "botocore": { "hashes": [ - "sha256:3fd4782362bd29c192704ebf859c5c8c5189ad05719e391eefe23088434427ae", - "sha256:849cb8e54e042443aeabcd7822b5f2b76cb5cfe33fe3a71f91c7c069748a869c" + "sha256:4d23387e0f076d87b637a2a35c0ff2b8daca16eace36b63ce27f65630c6b375a", + "sha256:b988d47f4d502df85befce11a48002421e4e6ea4289997b5e0261bac5fa76ce6" ], "markers": "python_version >= '3.8'", - "version": "==1.34.146" + "version": "==1.34.150" }, "cachetools": { "hashes": [ "sha256:3ae3b49a3d5e28a77a0be2b37dbcb89005058959cb2323858c2657c4a8cab474", "sha256:b8adc2e7c07f105ced7bc56dbb6dfbe7c4a00acce20e2227b3f355be89bc6827" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==5.4.0" }, "certifi": { @@ -520,17 +519,16 @@ "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28", "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==8.1.7" }, "codeflare-sdk": { "hashes": [ - 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"markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==4.0.11" }, "gitpython": { @@ -987,7 +985,7 @@ "sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c", "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==3.1.43" }, "google-api-core": { @@ -1003,7 +1001,7 @@ "sha256:49315be72c55a6a37d62819e3573f6b416aca00721f7e3e31a008d928bf64022", "sha256:53326ea2ebec768070a94bee4e1b9194c9646ea0c2bd72422785bd0f9abfad7b" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==2.32.0" }, "google-cloud-core": { @@ -1011,16 +1009,16 @@ "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073", "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= 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], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==0.2.5" }, "jupyterlab": { @@ -1480,7 +1478,7 @@ "hashes": [ "sha256:06ad584eecbe80318c6cd0231c95a432e91fec56f201def9d511b6e6664235ce" ], - "markers": "python_full_version < '3.13.0' and python_full_version >= '3.8.0'", + "markers": "python_version >= '3.8' and python_full_version < '3.13.0'", "version": "==2.8.0" }, "kfp-kubernetes": { @@ -1610,7 +1608,7 @@ "sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892", "sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==1.4.5" }, "kubernetes": { @@ -1684,7 +1682,7 @@ "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd", "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= 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a/jupyter/minimal/ubi8-python-3.8/Pipfile.lock +++ b/jupyter/minimal/ubi8-python-3.8/Pipfile.lock @@ -598,7 +598,7 @@ "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369", "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d" ], - "markers": "python_version < '3.10' and python_version < '3.10'", + "markers": "python_version < '3.10'", "version": "==8.2.0" }, "importlib-resources": { diff --git a/jupyter/minimal/ubi9-python-3.9/Pipfile.lock b/jupyter/minimal/ubi9-python-3.9/Pipfile.lock index 4062baa3d..1ab15e6fd 100644 --- a/jupyter/minimal/ubi9-python-3.9/Pipfile.lock +++ b/jupyter/minimal/ubi9-python-3.9/Pipfile.lock @@ -591,7 +591,7 @@ "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369", "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d" ], - "markers": "python_version < '3.10' and python_version < '3.10'", + "markers": "python_version < '3.10'", "version": "==8.2.0" }, "ipykernel": { diff --git a/jupyter/pytorch/ubi9-python-3.9/Pipfile b/jupyter/pytorch/ubi9-python-3.9/Pipfile index 8d04b6c45..3a90489b6 100644 --- a/jupyter/pytorch/ubi9-python-3.9/Pipfile +++ b/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 = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors pymongo = "~=4.6.2" diff --git a/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock b/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock index f8fb6b1d9..3e7ac549d 100644 --- a/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock +++ b/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "35f918165bcc21d267c32ce5b7bbaa7c92df8fa1d371244319f1ae3e9c24a521" + "sha256": "cd3cd72c71f348f97998c2b07a135683988b051d991d95ea71b0a4fb3389b216" }, "pipfile-spec": 6, "requires": { @@ -162,7 +162,7 @@ "sha256:0fca07b290282b9449590cbdb39b3461c45f2b6037523949f028ff2cba82c85e", "sha256:c2aec138a24f8462d6199c65666590dab14acb18af6c62950c82bc8d40862558" ], - "markers": "python_version >= '3.6' and python_version < '4'", + "markers": "python_version >= '3.6' and python_version < '4.0'", "version": "==1.1.6" }, "argon2-cffi": { @@ -213,7 +213,7 @@ "sha256:0e14202810b30da1b735827f78f5157be2bbd4a7a59b7707ca0bfc2fb4c0063a", "sha256:413658a61eeca6202a59231abb473f932038fbcbf1666587f66d482083413a25" ], - "markers": "python_full_version >= '3.8.0'", + "markers": "python_version >= '3.8'", "version": "==3.2.4" }, "asttokens": { @@ -335,28 +335,27 @@ }, "bokeh": { "hashes": [ - "sha256:931a43ee59dbf1720383ab904f8205e126b85561aac55592415b800c96f1b0eb", - "sha256:a16d5cc0abb93d2d270d70fc35851f3e1b9208814a985a4678e0ba5ef2d9cd42" + 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a/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile +++ b/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile @@ -15,6 +15,7 @@ name = "pytorch" tensorboard = "~=2.16.2" torch = {version = "~=2.3.1", index = "pytorch"} torchvision = {version = "~=0.18.1", index = "pytorch"} # https://pytorch.org/get-started/previous-versions/#linux-and-windows-1 +pytorch-triton-rocm = {version = "~=2.3.1", index = "pytorch"} # Datascience and useful extensions boto3 = "~=1.34.50" @@ -27,7 +28,7 @@ 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 = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors diff --git a/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile.lock b/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile.lock index 3562b2087..8dbab59f5 100644 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile.lock +++ b/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "922cc25e73cf7ddb2207c65bbb40e3878b67f151420fdf9a67003856db36a5e2" + "sha256": "674730930a41a5a499dbf4c8e2b3986f392da3fde3d384d8b217175d250b8a96" }, "pipfile-spec": 6, "requires": { @@ -34,7 +34,7 @@ "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad", "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6" ], - "markers": "python_version >= '3.7' and python_version < '4'", + "markers": "python_version >= '3.7' and python_version < '4.0'", "version": "==22.1.0" }, "aiohttp": { @@ -161,7 +161,7 @@ "sha256:0fca07b290282b9449590cbdb39b3461c45f2b6037523949f028ff2cba82c85e", "sha256:c2aec138a24f8462d6199c65666590dab14acb18af6c62950c82bc8d40862558" ], - "markers": "python_version < '4' and python_full_version >= '3.6.0'", + "markers": "python_version >= '3.6' and python_version < '4.0'", "version": "==1.1.6" }, "argon2-cffi": { @@ -196,7 +196,7 @@ "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e", "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351" ], - "markers": "python_full_version >= '3.6.0'", + "markers": "python_version >= '3.6'", "version": "==21.2.0" }, "arrow": { @@ -209,11 +209,11 @@ }, "astroid": { "hashes": [ - "sha256:8ead48e31b92b2e217b6c9733a21afafe479d52d6e164dd25fb1a770c7c3cf94", - "sha256:e8a0083b4bb28fcffb6207a3bfc9e5d0a68be951dd7e336d5dcf639c682388c0" + "sha256:0e14202810b30da1b735827f78f5157be2bbd4a7a59b7707ca0bfc2fb4c0063a", + "sha256:413658a61eeca6202a59231abb473f932038fbcbf1666587f66d482083413a25" ], "markers": "python_version >= '3.8'", - "version": "==3.2.2" + "version": "==3.2.4" }, "asttokens": { "hashes": [ @@ -256,43 +256,43 @@ }, "bcrypt": { "hashes": [ - "sha256:01746eb2c4299dd0ae1670234bf77704f581dd72cc180f444bfe74eb80495b64", - 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"sha256:f809a17cc78bd331e137caa25262b507225854073fd319e987bd216bed911b7c", + "sha256:f9bc4161bd3b970cd6a6fcda70583ad4afd10f2750609fb1f3ca9505050d4ef3", + "sha256:fdf4890cda3b59170009d012fca3294c00140e7f2abe1910e6a730809d0f3f9b" ], "markers": "python_version >= '3.8'", - "version": "==0.18.1" + "version": "==0.19.1" }, "rsa": { "hashes": [ "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7", "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21" ], - "markers": "python_version < '4' and python_full_version >= '3.6.0'", + "markers": "python_version >= '3.6' and python_version < '4.0'", "version": "==4.9" }, "ruamel.yaml": { @@ -3480,11 +3490,11 @@ }, "sympy": { "hashes": [ - "sha256:2877b03f998cd8c08f07cd0de5b767119cd3ef40d09f41c30d722f6686b0fb88", - "sha256:9b2cbc7f1a640289430e13d2a56f02f867a1da0190f2f99d8968c2f74da0e515" + "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f", + 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"sha256:7075d3042d03b80f603482d69bf0c8f345c2b30e41699fd8883227f89972b264" ], - "markers": "python_version >= '3.7'", - "version": "==0.12.5" + "markers": "python_version >= '3.8'", + "version": "==0.13.0" }, "torch": { "hashes": [ @@ -3828,10 +3838,10 @@ }, "whatthepatch": { "hashes": [ - "sha256:6bc41f9f48a63384be4478d8b2d5b22185aac75be853cdcb150a2dc174ede7e1", - "sha256:7f374c172812581bc3763587525d14a143aac7fe4220bc4676ecce0d86cb8f08" + "sha256:b274b3294784f78b1e759b35b49b7ef2e8473a580aabf39e5b94a9f901e5de61", + "sha256:c0cee5975e9b5cad8a0d12a52d76f8bb567ccdec319cf08c5fcfb1efab7fa1b2" ], - "version": "==1.0.5" + "version": "==1.0.6" }, "wheel": { "hashes": [ @@ -3922,7 +3932,7 @@ "sha256:f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a", "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4" ], - "markers": "python_full_version >= '3.6.0'", + "markers": "python_version >= '3.6'", "version": "==1.16.0" }, "xyzservices": { @@ -4120,7 +4130,7 @@ "sha256:35cae59c682506794a218310445e8326cd8fec410879d1c44953b494b1121e77", "sha256:5c9b6549b84c8aa7f92426272b670e1302941d72f0275caf32d2ea7db3c269f9" ], - "markers": "python_version >= '3.9' and python_version < '4'", + "markers": "python_version >= '3.9' and python_version < '4.0'", "version": "==3.0.2" }, "ypy-websocket": { diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile b/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile index c20e0981b..182a42c43 100644 --- a/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile +++ b/jupyter/rocm/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 = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile.lock b/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile.lock index 7a8cfec06..6fc36bbe1 100644 --- a/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile.lock +++ b/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "da4cc90e6f3c95ed9dbeca32a24474922b609b9536e3cbbb7a689734df1c0469" + "sha256": "ca4f62c51ea9254c79a0801813995b694b3d431a9fda32ed15d7f948186019c5" }, "pipfile-spec": 6, "requires": { @@ -343,19 +343,19 @@ }, "boto3": { "hashes": [ - "sha256:11edeeacdd517bda3b7615b754d8440820cdc9ddd66794cc995a9693ddeaa3be", - "sha256:f4e6489ba9dc7fb37d53e0e82dbc97f2cb0a4969ef3970e2c88b8f94023ae81a" + "sha256:894b222f7850b870a7ac63d7e378ac36c5c34375da24ddc30e131d9fafe369dc", + "sha256:ad648c89a4935590a69341e5430fc42a021489a22de171ee3fd7bb204f9ef0fa" ], "index": "pypi", - "version": "==1.34.149" + "version": "==1.34.150" }, "botocore": { "hashes": [ - "sha256:2e1eb5ef40102a3d796bb3dd05f2ac5e8fb43fe1ff114b4f6d33153437f5a372", - 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"python_version < '3.11' and python_version < '3.11'", + "markers": "python_version < '3.11'", "version": "==1.2.2" }, "executing": { @@ -1242,7 +1242,7 @@ "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369", "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d" ], - "markers": "python_version < '3.10' and python_version < '3.10'", + "markers": "python_version < '3.10'", "version": "==8.2.0" }, "importlib-resources": { @@ -3197,24 +3197,18 @@ "default" ], "hashes": [ - "sha256:1de0810f77ae4a0bf055aa2bdcb161be1d6d1b67b4095e85a5b3fbb6e0dadcd2", - "sha256:2c7f8cd468cbba009d7ebd8a8da66026aeb520f7f4183dd6f49419d75bc84415", - "sha256:3f3519dd7794ead4d3e17d4570593b2a10e8db062836907517e85b4e769dec1a", - "sha256:5a2cb9f100bbb6351372519b03ddc21d9fa6c8716621237273a59a6e250a8204", - "sha256:611d34d0c659652a38ef482a82dfc362074984617765e1d5a414337e4f914cfd", - "sha256:64b394a6462a2ac2401b1b004f2cc7ac31e429388abf27024072a55702f1159c", - 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"sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687" + "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b", + "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539" ], "markers": "python_version >= '3.8'", - "version": "==8.5.0" + "version": "==9.0.0" }, "tensorboard": { "hashes": [ @@ -3771,7 +3765,7 @@ "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d", "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8" ], - "markers": "python_version < '3.11' and python_version < '3.11'", + "markers": "python_version < '3.11'", "version": "==4.12.2" }, "tzdata": { diff --git a/jupyter/tensorflow/ubi9-python-3.9/Pipfile b/jupyter/tensorflow/ubi9-python-3.9/Pipfile index be6a89abc..43d367aee 100644 --- a/jupyter/tensorflow/ubi9-python-3.9/Pipfile +++ b/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 = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors pymongo = "~=4.6.2" diff --git a/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock b/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock index 42deea9bc..ec21746af 100644 --- a/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock +++ b/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "53e6643520ff09797bf0e1771b3ce582c3d3c36046167b5b9f4f6b962a711483" + "sha256": "4b41a45381ebe60322008cf2b6018a898a975c9cd799b678a7461884437f0049" }, "pipfile-spec": 6, "requires": { @@ -29,89 +29,97 @@ "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad", "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6" ], - "markers": "python_version >= '3.7' and python_version < 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"sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320" + "sha256:3b02fb0f44517787776cf48f2ae25d8e14f300e6d7545a4315cee571a415e850", + "sha256:7e1e5b56cc735432a7369cbfa0efe50fa113ebecdc04ae6922deba8b84582d0c" ], - "markers": "python_version >= '3.7'", - "version": "==2.8.0" + "markers": "python_version >= '3.8'", + "version": "==2.9.0" }, "pylint": { "hashes": [ @@ -3197,24 +3205,18 @@ "default" ], "hashes": [ - "sha256:1de0810f77ae4a0bf055aa2bdcb161be1d6d1b67b4095e85a5b3fbb6e0dadcd2", - "sha256:2c7f8cd468cbba009d7ebd8a8da66026aeb520f7f4183dd6f49419d75bc84415", - "sha256:3f3519dd7794ead4d3e17d4570593b2a10e8db062836907517e85b4e769dec1a", - "sha256:5a2cb9f100bbb6351372519b03ddc21d9fa6c8716621237273a59a6e250a8204", - "sha256:611d34d0c659652a38ef482a82dfc362074984617765e1d5a414337e4f914cfd", - "sha256:64b394a6462a2ac2401b1b004f2cc7ac31e429388abf27024072a55702f1159c", - "sha256:65938f7bd28a825d90c643465ad6b1334d97d16e381c409b19269e4dcc043341", - "sha256:6ac1dcb303ddf53d2d87bc5b719e8c38f0a5efe41e175b6ba563fb65b5f4e9a2", - "sha256:738c68f4114754f846b3d03b730b42a6468f8b54665732da9f9108aa1d3ecbe3", - "sha256:8855a5df8b3e6b8bcb5582a8491c50d0237e70751f941e8978bd6408245b7838", - "sha256:8e98df29fd6dac52c87c1f5be5ad99601a8955eaabe921e5cab29b27775250ce", - "sha256:c0566b28c75aad1d47b9403c3901a85db586ce7191fdc6978e07ad56e80bf82b", - "sha256:d9b13815fae5c9a68c9a02f21e1c49c58a5bb6565cb9ed5d48571cacce7568f2", - "sha256:e84ddad1521e06c91fc641f2b856d33ca2bfa314784172862c41a5184e0e760b", - "sha256:f7816767e644014f65afbfceb6adfb08c15784a4227aa331b28ac90d1b757a58" + "sha256:15c109fd9969326323c8bdb0701cd9af21c85f465002f74950622f9a580ec4e5", + "sha256:1a43d94ce3f14490e6f1e3e868fd6a5f3be4878cbf83c4bcdc741861d6a4dbf6", + "sha256:4f5ea8dc8fc014704ea12ef8a569abf0deca2ba2a6f157dc5fdd1789db4e0a65", + "sha256:55610f8eae65ce5686bde75a5782ce63e2a0112ccd2262b8acd707264da6dbea", + "sha256:7c305f31674fb8319c147d66e27dd210c7ad6d375626307ddfc62137a26d4155", + "sha256:b40f85c67ee3d58732b4021460c4297eb418f466313d70b577e5bf9fbb4c2d16", + "sha256:e7d059f094dedae36dddeaf792ebb74d4eed1a8ab1fb540dbffce4ac22694800", + "sha256:f2d2c1d59d7c8bd8b97288f7ae9a6bf762bd4e703b57787282400d3176dd159d", + "sha256:fc950898871c3ecf3b921295c5fcf47b4a30b57b54be8f369014fb1eb9b4cfa5" ], "markers": "python_version >= '3.8'", - "version": "==2.20.0" + "version": "==2.23.0" }, "referencing": { "hashes": [ @@ -3267,7 +3269,7 @@ "sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e", "sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0" ], - "markers": "python_full_version >= '3.6.3' and python_version < '4'", + "markers": "python_full_version >= '3.6.3' and python_version < '4.0'", "version": "==12.6.0" }, "rope": { @@ -3391,7 +3393,7 @@ "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7", "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21" ], - "markers": "python_version >= '3.6' and python_version < '4'", + "markers": "python_version >= '3.6' and python_version < '4.0'", "version": "==4.9" }, "ruamel.yaml": { @@ -3611,11 +3613,11 @@ }, "tenacity": { "hashes": [ - "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78", - "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687" + "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b", + "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539" ], "markers": "python_version >= '3.8'", - "version": "==8.5.0" + "version": "==9.0.0" }, "tensorboard": { "hashes": [ @@ -3680,7 +3682,7 @@ "sha256:fe8dcc6d222258a080ac3dfcaaaa347325ce36a7a046277f6b3e19abc1efb3c5", "sha256:ffebb6666a7bfc28005f4fbbb111a455b5e7d6cd3b12752b7050863ecb27d5cc" ], - "markers": "python_version < '3.13' and python_version >= '3.7'", + "markers": "python_full_version < '3.13.0' and python_version >= '3.7'", "version": "==0.37.1" }, "termcolor": { @@ -4274,7 +4276,7 @@ "sha256:35cae59c682506794a218310445e8326cd8fec410879d1c44953b494b1121e77", "sha256:5c9b6549b84c8aa7f92426272b670e1302941d72f0275caf32d2ea7db3c269f9" ], - "markers": "python_version >= '3.9' and python_version < '4'", + "markers": "python_version >= '3.9' and python_version < '4.0'", "version": "==3.0.2" }, "ypy-websocket": { diff --git a/jupyter/trustyai/ubi9-python-3.9/Pipfile b/jupyter/trustyai/ubi9-python-3.9/Pipfile index 7ef9de588..540e84c5e 100644 --- a/jupyter/trustyai/ubi9-python-3.9/Pipfile +++ b/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 = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors pymongo = "~=4.6.2" diff --git a/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock b/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock index f6e03cec8..e050afa2b 100644 --- a/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock +++ b/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "4dd689dc67992d3aa80fdbe9018e7d6df9bd42b38233fe7827a5e8a44f165cd4" + "sha256": "aad2bffb6fc7e7656b825fcc3d83b15fe77b20a56b807f60df4a2103eaadd8f4" }, "pipfile-spec": 6, "requires": { @@ -149,7 +149,7 @@ "sha256:0fca07b290282b9449590cbdb39b3461c45f2b6037523949f028ff2cba82c85e", "sha256:c2aec138a24f8462d6199c65666590dab14acb18af6c62950c82bc8d40862558" ], - "markers": "python_version >= '3.6' and python_version < '4'", + "markers": "python_version >= '3.6' and python_version < '4.0'", "version": "==1.1.6" }, "argon2-cffi": { @@ -200,7 +200,7 @@ "sha256:0e14202810b30da1b735827f78f5157be2bbd4a7a59b7707ca0bfc2fb4c0063a", "sha256:413658a61eeca6202a59231abb473f932038fbcbf1666587f66d482083413a25" ], - "markers": "python_full_version >= '3.8.0'", + "markers": "python_version >= '3.8'", "version": "==3.2.4" }, "asttokens": { @@ -281,7 +281,7 @@ "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051", "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed" ], - "markers": "python_full_version >= '3.6.0'", + "markers": "python_version >= '3.6'", "version": "==4.12.3" }, "black": { @@ -322,28 +322,27 @@ }, "bokeh": { "hashes": [ - "sha256:931a43ee59dbf1720383ab904f8205e126b85561aac55592415b800c96f1b0eb", - "sha256:a16d5cc0abb93d2d270d70fc35851f3e1b9208814a985a4678e0ba5ef2d9cd42" + "sha256:b7c22fb0f7004b04f12e1b7b26ee0269a26737a08ded848fb58f6a34ec1eb155", + "sha256:c6f33817f866fc67fbeb5df79cd13a8bb592c05c591f3fd7f4f22b824f7afa01" ], "markers": "python_version >= '3.9'", - "version": "==3.4.2" + "version": "==3.4.3" }, "boto3": { "hashes": [ - "sha256:5686fe2a6d1aa1de8a88e9589cdcc33361640d3d7a13da718a30717248886124", - "sha256:7ec568fb19bce82a70be51f08fddac1ef927ca3fb0896cbb34303a012ba228d8" + "sha256:894b222f7850b870a7ac63d7e378ac36c5c34375da24ddc30e131d9fafe369dc", + "sha256:ad648c89a4935590a69341e5430fc42a021489a22de171ee3fd7bb204f9ef0fa" ], "index": "pypi", - "markers": "python_version >= '3.8'", - "version": "==1.34.146" + "version": "==1.34.150" }, "botocore": { "hashes": [ - "sha256:3fd4782362bd29c192704ebf859c5c8c5189ad05719e391eefe23088434427ae", - "sha256:849cb8e54e042443aeabcd7822b5f2b76cb5cfe33fe3a71f91c7c069748a869c" + "sha256:4d23387e0f076d87b637a2a35c0ff2b8daca16eace36b63ce27f65630c6b375a", + "sha256:b988d47f4d502df85befce11a48002421e4e6ea4289997b5e0261bac5fa76ce6" ], "markers": "python_version >= '3.8'", - "version": "==1.34.146" + "version": "==1.34.150" }, "cachetools": { "hashes": [ @@ -525,12 +524,11 @@ }, "codeflare-sdk": { "hashes": [ - "sha256:3b9d8785e19a897ef803f8d0dce897df2f1ff4389757edd45f8077eba0b45b5c", - "sha256:4ca0c2dcf7a085083fa8464a5e1d36a350387242566a3cd404609cbc50cee5a0" + "sha256:45dc76b9e6372490a8275418d3a27609ca33b63cb2141b84c926db373a6594c8", + "sha256:e4fe929cde1ed102b82a718d336fdc5be38c4202590fee54b62946d3c4f3b17a" ], "index": "pypi", - "markers": "python_version >= '3.9' and python_version < '4.0'", - "version": "==0.16.4" + "version": "==0.18.0" }, "colorama": { "hashes": [ @@ -995,7 +993,7 @@ "sha256:f12a9b8309b5e21d92483bbd47ce2c445861ec7d269ef6784ecc0ea8c1fa6125", "sha256:f4695f1e3650b316a795108a76a1c416e6afb036199d1c1f1f110916df479ffd" ], - "markers": "python_version >= '3.7'", + "markers": "python_version >= '3.6'", "version": "==2.19.1" }, "google-auth": { @@ -1016,11 +1014,11 @@ }, "google-cloud-storage": { "hashes": [ - "sha256:49378abff54ef656b52dca5ef0f2eba9aa83dc2b2c72c78714b03a1a95fe9388", - "sha256:5b393bc766b7a3bc6f5407b9e665b2450d36282614b7945e570b3480a456d1e1" + "sha256:0aa3f7c57f3632f81b455d91558d2b27ada96eee2de3aaa17f689db1470d9578", + "sha256:e8e1a9577952143c3fca8163005ecfadd2d70ec080fa158a8b305000e2c22fbb" ], "markers": 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{ @@ -2328,6 +2351,7 @@ "sha256:fa0ae3275ef706c0309556061185dd0e4c4cd3b7d6f67ae617e4e677c7a41e2e" ], "index": "pypi", + "markers": "python_version >= '3.6'", "version": "==24.0.1" }, "ray": { @@ -2377,6 +2401,7 @@ "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==2.31.0" }, "requests-oauthlib": { @@ -2550,6 +2575,7 @@ "sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==1.3.2" }, "scipy": { @@ -2577,14 +2603,23 @@ "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1" ], "index": "pypi", + "markers": "python_version < '3.12' and python_version >= '3.8'", "version": "==1.10.1" }, + "setuptools": { + "hashes": [ + "sha256:5a03e1860cf56bb6ef48ce186b0e557fdba433237481a9a625176c2831be15d1", + "sha256:8d243eff56d095e5817f796ede6ae32941278f542e0f941867cc05ae52b162ec" + ], + "markers": "python_version >= '3.8'", + "version": "==72.1.0" + }, "six": { "hashes": [ "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926", "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==1.16.0" }, "skl2onnx": { @@ -2627,11 +2662,11 @@ }, "tenacity": { "hashes": [ - "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78", - "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687" + "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b", + "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539" ], "markers": "python_version >= '3.8'", - "version": "==8.5.0" + "version": "==9.0.0" }, "textwrap3": { "hashes": [ @@ -2671,6 +2706,7 @@ "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==6.3.3" }, "tqdm": { @@ -2687,6 +2723,7 @@ "sha256:2d313cc50a42cd6c277e7d7dc8d4d7fedd06a2c215f78766ae7b1a66277e0033" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==5.1.1" }, "typing-extensions": { @@ -2694,7 +2731,7 @@ "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d", "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8" ], - "markers": "python_version < '3.9'", + "markers": "python_version >= '3.8'", "version": "==4.12.2" }, "typing-inspect": { @@ -2718,6 +2755,7 @@ "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0" ], "index": "pypi", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'", "version": "==1.26.18" }, "virtualenv": { @@ -2934,7 +2972,7 @@ "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19", "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c" ], - "markers": "python_version < '3.10'", + "markers": "python_version >= '3.8'", "version": "==3.19.2" } }, diff --git a/runtimes/datascience/ubi9-python-3.9/Pipfile b/runtimes/datascience/ubi9-python-3.9/Pipfile index ee59b7bb3..5f0fc3fca 100644 --- a/runtimes/datascience/ubi9-python-3.9/Pipfile +++ b/runtimes/datascience/ubi9-python-3.9/Pipfile @@ -16,7 +16,7 @@ plotly = "~=5.20.0" scikit-learn = "~=1.4.0" scipy = "~=1.12.0" skl2onnx = "~=1.16.0" -codeflare-sdk = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors pymongo = "~=4.6.2" diff --git a/runtimes/datascience/ubi9-python-3.9/Pipfile.lock b/runtimes/datascience/ubi9-python-3.9/Pipfile.lock index 280a9737d..638ad83ec 100644 --- a/runtimes/datascience/ubi9-python-3.9/Pipfile.lock +++ b/runtimes/datascience/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "88f57b623868e3e3938059f37951f29d87486177ae8faf3dbca1c3b9d3a90bd2" + "sha256": "40e26b94cf088511f0a5e070298921884a371b369d69000a51a58cb4b19aba59" }, "pipfile-spec": 6, "requires": { @@ -200,19 +200,19 @@ }, "boto3": { "hashes": [ - "sha256:11edeeacdd517bda3b7615b754d8440820cdc9ddd66794cc995a9693ddeaa3be", - "sha256:f4e6489ba9dc7fb37d53e0e82dbc97f2cb0a4969ef3970e2c88b8f94023ae81a" + "sha256:894b222f7850b870a7ac63d7e378ac36c5c34375da24ddc30e131d9fafe369dc", + "sha256:ad648c89a4935590a69341e5430fc42a021489a22de171ee3fd7bb204f9ef0fa" ], "index": "pypi", - "version": "==1.34.149" + "version": "==1.34.150" }, "botocore": { "hashes": [ - "sha256:2e1eb5ef40102a3d796bb3dd05f2ac5e8fb43fe1ff114b4f6d33153437f5a372", - "sha256:ae6c4be52eeee96f68c116b27d252bab069cd046d61a17cfe8e9da411cf22906" + "sha256:4d23387e0f076d87b637a2a35c0ff2b8daca16eace36b63ce27f65630c6b375a", + "sha256:b988d47f4d502df85befce11a48002421e4e6ea4289997b5e0261bac5fa76ce6" ], "markers": "python_version >= '3.8'", - "version": "==1.34.149" + "version": "==1.34.150" }, "cachetools": { "hashes": [ @@ -394,11 +394,11 @@ }, "codeflare-sdk": { "hashes": [ - "sha256:3b9d8785e19a897ef803f8d0dce897df2f1ff4389757edd45f8077eba0b45b5c", - "sha256:4ca0c2dcf7a085083fa8464a5e1d36a350387242566a3cd404609cbc50cee5a0" + "sha256:45dc76b9e6372490a8275418d3a27609ca33b63cb2141b84c926db373a6594c8", + "sha256:e4fe929cde1ed102b82a718d336fdc5be38c4202590fee54b62946d3c4f3b17a" ], "index": "pypi", - "version": "==0.16.4" + "version": "==0.18.0" }, "colorful": { "hashes": [ @@ -1957,6 +1957,7 @@ "sha256:f434160fb14b353caf634149baaf847206406471ba70e64657c1e8330277a991", "sha256:fa43f362b46741df8f201bf3e7dff3569fa92069bcc7b4a740dea3602e27ab7a" ], + "markers": "python_version >= '3.7'", "version": "==1.10.17" }, "pygments": { @@ -2121,7 +2122,7 @@ 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"sha256:b40f85c67ee3d58732b4021460c4297eb418f466313d70b577e5bf9fbb4c2d16", + "sha256:e7d059f094dedae36dddeaf792ebb74d4eed1a8ab1fb540dbffce4ac22694800", + "sha256:f2d2c1d59d7c8bd8b97288f7ae9a6bf762bd4e703b57787282400d3176dd159d", + "sha256:fc950898871c3ecf3b921295c5fcf47b4a30b57b54be8f369014fb1eb9b4cfa5" ], "markers": "python_version >= '3.8'", - "version": "==2.20.0" + "version": "==2.23.0" }, "referencing": { "hashes": [ @@ -2322,7 +2317,7 @@ "sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e", "sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0" ], - "markers": "python_full_version >= '3.6.3' and python_version < '4.0'", + "markers": "python_version < '4.0' and python_full_version >= '3.6.3'", "version": "==12.6.0" }, "rpds-py": { @@ -2513,7 +2508,7 @@ "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926", "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==1.16.0" }, "skl2onnx": { @@ -2548,11 +2543,11 @@ }, "tenacity": { "hashes": [ - "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78", - "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687" + "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b", + "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539" ], "markers": "python_version >= '3.8'", - "version": "==8.5.0" + "version": "==9.0.0" }, "textwrap3": { "hashes": [ diff --git a/runtimes/minimal/ubi8-python-3.8/Pipfile.lock b/runtimes/minimal/ubi8-python-3.8/Pipfile.lock index 1b45fb715..1e575eea4 100644 --- a/runtimes/minimal/ubi8-python-3.8/Pipfile.lock +++ b/runtimes/minimal/ubi8-python-3.8/Pipfile.lock @@ -250,11 +250,11 @@ }, "importlib-metadata": { "hashes": [ - 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+2147,7 @@ "sha256:f434160fb14b353caf634149baaf847206406471ba70e64657c1e8330277a991", "sha256:fa43f362b46741df8f201bf3e7dff3569fa92069bcc7b4a740dea3602e27ab7a" ], + "markers": "python_version >= '3.7'", "version": "==1.10.17" }, "pygments": { @@ -2223,6 +2244,7 @@ "sha256:ff7d1f449fcad23d9bc8e8dc2b9972be38bcd76d99ea5f7d29b2efa929c2a7ff" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==4.6.3" }, "pynacl": { @@ -2276,6 +2298,7 @@ "sha256:f8488c3818f12207650836c5c6f7352f9ff9f56a05a05512145995e497c0bbb1" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==5.1.0" }, "pyparsing": { @@ -2298,7 +2321,7 @@ "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==2.9.0.post0" }, "pytz": { @@ -2443,6 +2466,7 @@ "sha256:fa0ae3275ef706c0309556061185dd0e4c4cd3b7d6f67ae617e4e677c7a41e2e" ], "index": "pypi", + "markers": "python_version >= '3.6'", "version": "==24.0.1" }, "ray": { @@ -2492,6 +2516,7 @@ "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==2.31.0" }, "requests-oauthlib": { @@ -2507,7 +2532,7 @@ "sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e", "sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0" ], - "markers": "python_full_version >= '3.6.3' and python_version < '4'", + "markers": "python_full_version >= '3.6.3' and python_full_version < '4.0.0'", "version": "==12.6.0" }, "rpds-py": { @@ -2657,6 +2682,7 @@ "sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==1.3.2" }, "scipy": { @@ -2684,14 +2710,23 @@ "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1" ], "index": "pypi", + "markers": "python_version < '3.12' and python_version >= '3.8'", "version": "==1.10.1" }, + "setuptools": { + "hashes": [ + "sha256:5a03e1860cf56bb6ef48ce186b0e557fdba433237481a9a625176c2831be15d1", + "sha256:8d243eff56d095e5817f796ede6ae32941278f542e0f941867cc05ae52b162ec" + ], + "markers": "python_version >= '3.8'", + "version": "==72.1.0" + }, "six": { "hashes": [ "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926", "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==1.16.0" }, "skl2onnx": { @@ -2742,17 +2777,18 @@ }, "tenacity": { "hashes": [ - "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78", - "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687" + "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b", + "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539" ], "markers": "python_version >= '3.8'", - "version": "==8.5.0" + "version": "==9.0.0" }, "tensorboard": { "hashes": [ "sha256:3667f9745d99280836ad673022362c840f60ed8fefd5a3e30bf071f5a8fd0017" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==2.14.0" }, "tensorboard-data-server": { @@ -2834,6 +2870,7 @@ "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==6.3.3" }, "tqdm": { @@ -2850,6 +2887,7 @@ "sha256:2d313cc50a42cd6c277e7d7dc8d4d7fedd06a2c215f78766ae7b1a66277e0033" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==5.1.1" }, "triton": { @@ -2861,7 +2899,7 @@ "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0", "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab" ], - "markers": "platform_system == 'Linux' and platform_machine == 'x86_64' and python_version < '3.12'", + "markers": "python_version < '3.12' and platform_system == 'Linux' and platform_machine == 'x86_64'", "version": "==2.2.0" }, "typing-extensions": { @@ -2869,7 +2907,7 @@ "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d", "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8" ], - "markers": "python_version < '3.9'", + "markers": "python_version >= '3.8'", "version": "==4.12.2" }, "typing-inspect": { @@ -2893,6 +2931,7 @@ "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0" ], "index": "pypi", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'", "version": "==1.26.18" }, "virtualenv": { @@ -3125,7 +3164,7 @@ "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19", "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c" ], - "markers": "python_version < '3.10'", + "markers": "python_version >= '3.8'", "version": "==3.19.2" } }, diff --git a/runtimes/pytorch/ubi9-python-3.9/Pipfile b/runtimes/pytorch/ubi9-python-3.9/Pipfile index 8e75de762..ecc3800eb 100644 --- a/runtimes/pytorch/ubi9-python-3.9/Pipfile +++ b/runtimes/pytorch/ubi9-python-3.9/Pipfile @@ -25,7 +25,7 @@ plotly = "~=5.20.0" scikit-learn = "~=1.4.0" scipy = "~=1.12.0" skl2onnx = "~=1.16.0" -codeflare-sdk = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors pymongo = "~=4.6.2" diff --git a/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock b/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock index b7253757e..ea4d4f444 100644 --- a/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock +++ b/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "bca78aac4b0f17504b0d2886abbb7d02959480a2022d952c3c3fd522c32effdf" + "sha256": "842722828751600f7fc7916164c953ee01eed3c6e968471dcccc8092a69e7821" }, "pipfile-spec": 6, "requires": { @@ -213,19 +213,19 @@ }, "boto3": { "hashes": [ - "sha256:11edeeacdd517bda3b7615b754d8440820cdc9ddd66794cc995a9693ddeaa3be", - "sha256:f4e6489ba9dc7fb37d53e0e82dbc97f2cb0a4969ef3970e2c88b8f94023ae81a" + "sha256:894b222f7850b870a7ac63d7e378ac36c5c34375da24ddc30e131d9fafe369dc", + "sha256:ad648c89a4935590a69341e5430fc42a021489a22de171ee3fd7bb204f9ef0fa" ], "index": "pypi", - "version": "==1.34.149" + "version": "==1.34.150" }, "botocore": { "hashes": [ - "sha256:2e1eb5ef40102a3d796bb3dd05f2ac5e8fb43fe1ff114b4f6d33153437f5a372", - "sha256:ae6c4be52eeee96f68c116b27d252bab069cd046d61a17cfe8e9da411cf22906" + "sha256:4d23387e0f076d87b637a2a35c0ff2b8daca16eace36b63ce27f65630c6b375a", + "sha256:b988d47f4d502df85befce11a48002421e4e6ea4289997b5e0261bac5fa76ce6" ], "markers": "python_version >= '3.8'", - "version": "==1.34.149" + "version": "==1.34.150" }, "cachetools": { "hashes": [ @@ -407,11 +407,11 @@ }, "codeflare-sdk": { "hashes": [ - "sha256:3b9d8785e19a897ef803f8d0dce897df2f1ff4389757edd45f8077eba0b45b5c", - "sha256:4ca0c2dcf7a085083fa8464a5e1d36a350387242566a3cd404609cbc50cee5a0" + "sha256:45dc76b9e6372490a8275418d3a27609ca33b63cb2141b84c926db373a6594c8", + "sha256:e4fe929cde1ed102b82a718d336fdc5be38c4202590fee54b62946d3c4f3b17a" ], "index": "pypi", - "version": "==0.16.4" + "version": "==0.18.0" }, "colorful": { "hashes": [ @@ -818,6 +818,7 @@ "sha256:f62652ddcadc75d0e7aa629e96bb61658f85a993e748333715b4ab667192e4e8", "sha256:ff5a84907e51924973aa05ed8759210d8cdae7ffcf9e44fd17646cf4a902df59" ], + "markers": "python_version >= '3.8'", "version": "==1.65.1" }, "idna": { @@ -833,7 +834,7 @@ "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369", "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d" ], - "markers": "python_version < '3.10' and python_version < '3.10'", + "markers": "python_version < '3.10'", "version": "==8.2.0" }, "importlib-resources": { @@ -2088,6 +2089,7 @@ "sha256:f434160fb14b353caf634149baaf847206406471ba70e64657c1e8330277a991", "sha256:fa43f362b46741df8f201bf3e7dff3569fa92069bcc7b4a740dea3602e27ab7a" ], + "markers": "python_version >= '3.7'", "version": "==1.10.17" }, "pygments": { @@ -2252,7 +2254,7 @@ "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==2.9.0.post0" }, "pytz": { @@ -2405,24 +2407,18 @@ "default" ], "hashes": [ - "sha256:1de0810f77ae4a0bf055aa2bdcb161be1d6d1b67b4095e85a5b3fbb6e0dadcd2", - "sha256:2c7f8cd468cbba009d7ebd8a8da66026aeb520f7f4183dd6f49419d75bc84415", - "sha256:3f3519dd7794ead4d3e17d4570593b2a10e8db062836907517e85b4e769dec1a", - "sha256:5a2cb9f100bbb6351372519b03ddc21d9fa6c8716621237273a59a6e250a8204", - "sha256:611d34d0c659652a38ef482a82dfc362074984617765e1d5a414337e4f914cfd", - "sha256:64b394a6462a2ac2401b1b004f2cc7ac31e429388abf27024072a55702f1159c", - "sha256:65938f7bd28a825d90c643465ad6b1334d97d16e381c409b19269e4dcc043341", - "sha256:6ac1dcb303ddf53d2d87bc5b719e8c38f0a5efe41e175b6ba563fb65b5f4e9a2", - "sha256:738c68f4114754f846b3d03b730b42a6468f8b54665732da9f9108aa1d3ecbe3", - "sha256:8855a5df8b3e6b8bcb5582a8491c50d0237e70751f941e8978bd6408245b7838", - "sha256:8e98df29fd6dac52c87c1f5be5ad99601a8955eaabe921e5cab29b27775250ce", - "sha256:c0566b28c75aad1d47b9403c3901a85db586ce7191fdc6978e07ad56e80bf82b", - "sha256:d9b13815fae5c9a68c9a02f21e1c49c58a5bb6565cb9ed5d48571cacce7568f2", - "sha256:e84ddad1521e06c91fc641f2b856d33ca2bfa314784172862c41a5184e0e760b", - "sha256:f7816767e644014f65afbfceb6adfb08c15784a4227aa331b28ac90d1b757a58" + "sha256:15c109fd9969326323c8bdb0701cd9af21c85f465002f74950622f9a580ec4e5", + "sha256:1a43d94ce3f14490e6f1e3e868fd6a5f3be4878cbf83c4bcdc741861d6a4dbf6", + "sha256:4f5ea8dc8fc014704ea12ef8a569abf0deca2ba2a6f157dc5fdd1789db4e0a65", + "sha256:55610f8eae65ce5686bde75a5782ce63e2a0112ccd2262b8acd707264da6dbea", + "sha256:7c305f31674fb8319c147d66e27dd210c7ad6d375626307ddfc62137a26d4155", + "sha256:b40f85c67ee3d58732b4021460c4297eb418f466313d70b577e5bf9fbb4c2d16", + "sha256:e7d059f094dedae36dddeaf792ebb74d4eed1a8ab1fb540dbffce4ac22694800", + "sha256:f2d2c1d59d7c8bd8b97288f7ae9a6bf762bd4e703b57787282400d3176dd159d", + "sha256:fc950898871c3ecf3b921295c5fcf47b4a30b57b54be8f369014fb1eb9b4cfa5" ], "markers": "python_version >= '3.8'", - "version": "==2.20.0" + "version": "==2.23.0" }, "referencing": { "hashes": [ @@ -2453,7 +2449,7 @@ "sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e", "sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0" ], - "markers": "python_full_version >= '3.6.3' and python_full_version < '4.0.0'", + "markers": "python_version < '4.0' and python_full_version >= '3.6.3'", "version": "==12.6.0" }, "rpds-py": { @@ -2570,7 +2566,7 @@ "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7", "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21" ], - "markers": "python_version >= '3.6' and python_full_version < '4.0.0'", + "markers": "python_version >= '3.6' and python_version < '4.0'", "version": "==4.9" }, "s3transfer": { @@ -2644,7 +2640,7 @@ "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926", "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==1.16.0" }, "skl2onnx": { @@ -2687,11 +2683,11 @@ }, "tenacity": { "hashes": [ - "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78", - "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687" + "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b", + "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539" ], "markers": "python_version >= '3.8'", - "version": "==8.5.0" + "version": "==9.0.0" }, "tensorboard": { "hashes": [ @@ -2806,7 +2802,7 @@ "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0", "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab" ], - "markers": "platform_system == 'Linux' and platform_machine == 'x86_64' and python_version < '3.12'", + "markers": "python_version < '3.12' and platform_system == 'Linux' and platform_machine == 'x86_64'", "version": "==2.2.0" }, "typing-extensions": { diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/Dockerfile b/runtimes/rocm-pytorch/ubi9-python-3.9/Dockerfile new file mode 100644 index 000000000..cd1114cd9 --- /dev/null +++ b/runtimes/rocm-pytorch/ubi9-python-3.9/Dockerfile @@ -0,0 +1,28 @@ +ARG BASE_IMAGE +FROM ${BASE_IMAGE} + +LABEL name="odh-notebook-runtime-rocm-pytorch-ubi9-python-3.9" \ + summary="Runtime ROCm pytorch notebook image for ODH notebooks" \ + description="Runtime ROCm pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ + io.k8s.display-name="Runtime ROCm pytorch notebook image for ODH notebooks" \ + io.k8s.description="Runtime ROCm pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ + authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ + io.openshift.build.commit.ref="main" \ + io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/runtimes/rocm-pytorch/ubi9-python-3.9" \ + io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-runtime-pytorch-ubi9-python-3.9" + +WORKDIR /opt/app-root/bin + +# Install Python packages from Pipfile.lock +COPY Pipfile.lock ./ +# Copy Elyra dependencies for air-gapped enviroment +COPY utils ./utils/ + +RUN echo "Installing softwares and packages" && \ + micropipenv install && \ + rm -f ./Pipfile.lock && \ + # Fix permissions to support pip in Openshift environments \ + chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ + fix-permissions /opt/app-root -P + +WORKDIR /opt/app-root/src diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/Pipfile b/runtimes/rocm-pytorch/ubi9-python-3.9/Pipfile new file mode 100644 index 000000000..132e3acbe --- /dev/null +++ b/runtimes/rocm-pytorch/ubi9-python-3.9/Pipfile @@ -0,0 +1,60 @@ +[[source]] +url = "https://pypi.org/simple" +verify_ssl = true +name = "pypi" + +[[source]] +url = "https://download.pytorch.org/whl/rocm6.0/" +verify_ssl = true +name = "pytorch" + +[dev-packages] + +[packages] +# PyTorch packages +tensorboard = "~=2.16.2" +torch = {version = "~=2.3.1", index = "pytorch"} +torchvision = {version = "~=0.18.1", index = "pytorch"} # https://pytorch.org/get-started/previous-versions/#linux-and-windows-1 + +# Datascience and useful extensions +boto3 = "~=1.34.50" +kafka-python = "~=2.0.2" +matplotlib = "~=3.8.3" +numpy = "~=1.26.4" +pandas = "~=2.2.0" +plotly = "~=5.20.0" +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 = "~=0.16.4" +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" + +# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks. +ipykernel = "==6.13.0" +ipython = "==8.10.0" 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b/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/pod.yaml new file mode 100644 index 000000000..bc5343566 --- /dev/null +++ b/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/pod.yaml @@ -0,0 +1,29 @@ +--- +apiVersion: v1 +kind: Pod +metadata: + name: pod + labels: + app: runtime-image +spec: + containers: + - name: runtime + image: runtime-workbench + command: ["/bin/sh", "-c", "while true ; do date; sleep 1; done;"] + imagePullPolicy: Always + ports: + - containerPort: 8080 + resources: + limits: + cpu: 500m + memory: 500Mi + requests: + cpu: 500m + memory: 500Mi + volumeMounts: + - name: config + mountPath: /opt/app-root/elyra + volumes: + - name: config + configMap: + name: req-config diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/requirements-elyra.txt new file mode 100644 index 000000000..91fb8e57d --- /dev/null +++ b/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/requirements-elyra.txt @@ -0,0 +1,20 @@ +# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks. +# This is copied from elyra directly: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt +ipykernel==6.13.0 +ipython==8.10.0 +ipython-genutils==0.2.0 +jinja2==3.1.4 +jupyter-client==7.3.1 +jupyter-core==4.11.2 +MarkupSafe==2.1.1 +minio==7.1.15 +nbclient==0.6.3 +nbconvert==7.1.0 +nbformat==5.4.0 +papermill==2.3.4 +pyzmq==24.0.1 +prompt-toolkit==3.0.30 +requests==2.31.0 +tornado==6.3.3 +traitlets==5.1.1 +urllib3==1.26.18 diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/utils/bootstrapper.py b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/bootstrapper.py new file mode 100644 index 000000000..6163cdd84 --- /dev/null +++ b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/bootstrapper.py @@ -0,0 +1,770 @@ +# Copied from: https://github.com/elyra-ai/elyra/blob/main/elyra/kfp/bootstrapper.py +# +# Copyright 2018-2023 Elyra Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from abc import ABC +from abc import abstractmethod +import glob +import json +import logging +import os +from pathlib import Path +import subprocess +import sys +from tempfile import TemporaryFile +import time +from typing import Any +from typing import Dict +from typing import Optional +from typing import Type +from typing import TypeVar +from urllib.parse import urljoin +from urllib.parse import urlparse +from urllib.parse import urlunparse + +from packaging import version + + +# Inputs and Outputs separator character. If updated, +# same-named variable in _notebook_op.py must be updated! +INOUT_SEPARATOR = ";" + +# Setup forward reference for type hint on return from class factory method. See +# https://stackoverflow.com/questions/39205527/can-you-annotate-return-type-when-value-is-instance-of-cls/39205612#39205612 +F = TypeVar("F", bound="FileOpBase") + +logger = logging.getLogger("elyra") +enable_pipeline_info = os.getenv("ELYRA_ENABLE_PIPELINE_INFO", "true").lower() == "true" +pipeline_name = None # global used in formatted logging +operation_name = None # global used in formatted logging + + +class FileOpBase(ABC): + """Abstract base class for file-based operations""" + + filepath = None + cos_client = None + cos_bucket = None + + @classmethod + def get_instance(cls: Type[F], **kwargs: Any) -> F: + """Creates an appropriate subclass instance based on the extension of the filepath (-f) argument""" + filepath = kwargs["filepath"] + if ".ipynb" in filepath: + return NotebookFileOp(**kwargs) + elif ".py" in filepath: + return PythonFileOp(**kwargs) + elif ".r" in filepath: + return RFileOp(**kwargs) + else: + raise ValueError(f"Unsupported file type: {filepath}") + + def __init__(self, **kwargs: Any) -> None: + """Initializes the FileOpBase instance""" + import minio + from minio.credentials import providers + + self.filepath = kwargs["filepath"] + self.input_params = kwargs or {} + self.cos_endpoint = urlparse(self.input_params.get("cos-endpoint")) + self.cos_bucket = self.input_params.get("cos-bucket") + + self.parameter_pass_method = self.input_params.get("parameter_pass_method") + self.pipeline_param_dict = self.convert_param_str_to_dict(self.input_params.get("pipeline_parameters")) + + # Infer secure from the endpoint's scheme. + self.secure = self.cos_endpoint.scheme == "https" + + # get minio credentials provider + if "cos-user" in self.input_params and "cos-password" in self.input_params: + cred_provider = providers.StaticProvider( + access_key=self.input_params.get("cos-user"), + secret_key=self.input_params.get("cos-password"), + ) + elif "AWS_ACCESS_KEY_ID" in os.environ and "AWS_SECRET_ACCESS_KEY" in os.environ: + cred_provider = providers.EnvAWSProvider() + elif "AWS_ROLE_ARN" in os.environ and "AWS_WEB_IDENTITY_TOKEN_FILE" in os.environ: + cred_provider = providers.IamAwsProvider() + else: + raise RuntimeError( + "No minio credentials provider can be initialised for current configs. " + "Please validate your runtime configuration details and retry." + ) + + # get minio client + self.cos_client = minio.Minio(self.cos_endpoint.netloc, secure=self.secure, credentials=cred_provider) + + @abstractmethod + def execute(self) -> None: + """Execute the operation relative to derived class""" + raise NotImplementedError("Method 'execute()' must be implemented by subclasses!") + + def process_dependencies(self) -> None: + """Process dependencies + + If a dependency archive is present, it will be downloaded from object storage + and expanded into the local directory. + + This method can be overridden by subclasses, although overrides should first + call the superclass method. + """ + OpUtil.log_operation_info("processing dependencies") + t0 = time.time() + archive_file = self.input_params.get("cos-dependencies-archive") + + self.get_file_from_object_storage(archive_file) + + inputs = self.input_params.get("inputs") + if inputs: + input_list = inputs.split(INOUT_SEPARATOR) + for file in input_list: + self.get_file_from_object_storage(file.strip()) + + subprocess.call(["tar", "-zxvf", archive_file]) + duration = time.time() - t0 + OpUtil.log_operation_info("dependencies processed", duration) + + def process_outputs(self) -> None: + """Process outputs + + If outputs have been specified, it will upload the appropriate files to object storage + + This method can be overridden by subclasses, although overrides should first + call the superclass method. + """ + OpUtil.log_operation_info("processing outputs") + t0 = time.time() + outputs = self.input_params.get("outputs") + if outputs: + output_list = outputs.split(INOUT_SEPARATOR) + for file in output_list: + self.process_output_file(file.strip()) + duration = time.time() - t0 + OpUtil.log_operation_info("outputs processed", duration) + + def process_metrics_and_metadata(self) -> None: + """Process metrics and metadata + + This method exposes metrics/metadata that the processed + notebook | script produces in the KFP UI. + + This method should not be overridden by subclasses. + """ + + OpUtil.log_operation_info("processing metrics and metadata") + t0 = time.time() + + # Location where the KFP specific output files will be stored + # in the environment where the bootsrapper is running. + # Defaults to '/tmp' if not specified. + output_path = Path(os.getenv("ELYRA_WRITABLE_CONTAINER_DIR", "/tmp")) + + # verify that output_path exists, is a directory + # and writable by creating a temporary file in that location + try: + with TemporaryFile(mode="w", dir=output_path) as t: + t.write("can write") + except Exception: + # output_path doesn't meet the requirements + # treat this as a non-fatal error and log a warning + logger.warning(f'Cannot create files in "{output_path}".') + OpUtil.log_operation_info("Aborted metrics and metadata processing", time.time() - t0) + return + + # Name of the proprietary KFP UI metadata file. + # Notebooks | scripts might (but don't have to) produce this file + # as documented in + # https://www.kubeflow.org/docs/pipelines/sdk/output-viewer/ + # Each ExecuteFileOp must declare this as an output file or + # the KFP UI won't pick up the information. + kfp_ui_metadata_filename = "mlpipeline-ui-metadata.json" + + # Name of the proprietary KFP metadata file. + # Notebooks | scripts might (but don't have to) produce this file + # as documented in + # https://www.kubeflow.org/docs/pipelines/sdk/pipelines-metrics/ + # Each ExecuteFileOp must declare this as an output file or + # the KFP UI won't pick up the information. + kfp_metrics_filename = "mlpipeline-metrics.json" + + # If the notebook | Python script produced one of the files + # copy it to the target location where KFP is looking for it. + for filename in [kfp_ui_metadata_filename, kfp_metrics_filename]: + try: + src = Path(".") / filename + logger.debug(f"Processing {src} ...") + # try to load the file, if one was created by the + # notebook or script + with open(src, "r") as f: + metadata = json.load(f) + + # the file exists and contains valid JSON + logger.debug(f"File content: {json.dumps(metadata)}") + + target = output_path / filename + # try to save the file in the destination location + with open(target, "w") as f: + json.dump(metadata, f) + except FileNotFoundError: + # The script | notebook didn't produce the file + # we are looking for. This is not an error condition + # that needs to be handled. + logger.debug(f"{self.filepath} produced no file named {src}") + except ValueError as ve: + # The file content could not be parsed. Log a warning + # and treat this as a non-fatal error. + logger.warning(f"Ignoring incompatible {str(src)} produced by {self.filepath}: {ve} {str(ve)}") + except Exception as ex: + # Something is wrong with the user-generated metadata file. + # Log a warning and treat this as a non-fatal error. + logger.warning(f"Error processing {str(src)} produced by {self.filepath}: {ex} {str(ex)}") + + # + # Augment kfp_ui_metadata_filename with Elyra-specific information: + # - link to object storage where input and output artifacts are + # stored + ui_metadata_output = output_path / kfp_ui_metadata_filename + try: + # re-load the file + with open(ui_metadata_output, "r") as f: + metadata = json.load(f) + except Exception: + # ignore all errors + metadata = {} + + # Assure the 'output' property exists and is of the correct type + if metadata.get("outputs", None) is None or not isinstance(metadata["outputs"], list): + metadata["outputs"] = [] + + # Define HREF for COS bucket: + # // + bucket_url = urljoin( + urlunparse(self.cos_endpoint), f"{self.cos_bucket}/{self.input_params.get('cos-directory', '')}/" + ) + + # add Elyra metadata to 'outputs' + metadata["outputs"].append( + { + "storage": "inline", + "source": f"## Inputs for {self.filepath}\n" + f"[{self.input_params['cos-dependencies-archive']}]({bucket_url})", + "type": "markdown", + } + ) + + # print the content of the augmented metadata file + logger.debug(f"Output UI metadata: {json.dumps(metadata)}") + + logger.debug(f"Saving UI metadata file as {ui_metadata_output} ...") + + # Save [updated] KFP UI metadata file + with open(ui_metadata_output, "w") as f: + json.dump(metadata, f) + + duration = time.time() - t0 + OpUtil.log_operation_info("metrics and metadata processed", duration) + + def get_object_storage_filename(self, filename: str) -> str: + """Function to pre-pend cloud storage working dir to file name + + :param filename: the local file + :return: the full path of the object storage file + """ + return os.path.join(self.input_params.get("cos-directory", ""), filename) + + def get_file_from_object_storage(self, file_to_get: str) -> None: + """Utility function to get files from an object storage + + :param file_to_get: filename + """ + + object_to_get = self.get_object_storage_filename(file_to_get) + t0 = time.time() + self.cos_client.fget_object(bucket_name=self.cos_bucket, object_name=object_to_get, file_path=file_to_get) + duration = time.time() - t0 + OpUtil.log_operation_info( + f"downloaded {file_to_get} from bucket: {self.cos_bucket}, object: {object_to_get}", duration + ) + + def put_file_to_object_storage(self, file_to_upload: str, object_name: Optional[str] = None) -> None: + """Utility function to put files into an object storage + + :param file_to_upload: filename + :param object_name: remote filename (used to rename) + """ + + object_to_upload = object_name + if not object_to_upload: + object_to_upload = file_to_upload + + object_to_upload = self.get_object_storage_filename(object_to_upload) + t0 = time.time() + self.cos_client.fput_object(bucket_name=self.cos_bucket, object_name=object_to_upload, file_path=file_to_upload) + duration = time.time() - t0 + OpUtil.log_operation_info( + f"uploaded {file_to_upload} to bucket: {self.cos_bucket} object: {object_to_upload}", duration + ) + + def has_wildcard(self, filename): + wildcards = ["*", "?"] + return bool(any(c in filename for c in wildcards)) + + def process_output_file(self, output_file): + """Puts the file to object storage. Handles wildcards and directories.""" + + matched_files = [output_file] + if self.has_wildcard(output_file): # explode the wildcarded file + matched_files = glob.glob(output_file) + + for matched_file in matched_files: + if os.path.isdir(matched_file): + for file in os.listdir(matched_file): + self.process_output_file(os.path.join(matched_file, file)) + else: + self.put_file_to_object_storage(matched_file) + + def convert_param_str_to_dict(self, pipeline_parameters: Optional[str] = None) -> Dict[str, Any]: + """Convert INOUT-separated string of pipeline parameters into a dictionary.""" + parameter_dict = {} + if pipeline_parameters: + parameter_list = pipeline_parameters.split(INOUT_SEPARATOR) + for parameter in parameter_list: + param_name, value = parameter.split("=", 1) + if self.parameter_pass_method == "env" and (not value or not isinstance(value, str)): + continue # env vars must be non-empty strings + parameter_dict[param_name] = value + return parameter_dict + + def set_parameters_in_env(self) -> None: + """Make pipeline parameters available as environment variables.""" + for name, value in self.pipeline_param_dict.items(): + if name in os.environ: + continue # avoid overwriting env vars with the same name + os.environ[name] = value + + +class NotebookFileOp(FileOpBase): + """Perform Notebook File Operation""" + + def execute(self) -> None: + """Execute the Notebook and upload results to object storage""" + notebook = os.path.basename(self.filepath) + notebook_name = notebook.replace(".ipynb", "") + notebook_output = f"{notebook_name}-output.ipynb" + notebook_html = f"{notebook_name}.html" + + try: + OpUtil.log_operation_info(f"executing notebook using 'papermill {notebook} {notebook_output}'") + t0 = time.time() + # Include kernel selection in execution time + kernel_name = NotebookFileOp.find_best_kernel(notebook) + + kwargs = {} + if self.parameter_pass_method == "env": + self.set_parameters_in_env() + + import papermill + + papermill.execute_notebook(notebook, notebook_output, kernel_name=kernel_name, **kwargs) + duration = time.time() - t0 + OpUtil.log_operation_info("notebook execution completed", duration) + + NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html) + self.put_file_to_object_storage(notebook_output, notebook) + self.put_file_to_object_storage(notebook_html) + self.process_outputs() + except Exception as ex: + # log in case of errors + logger.error(f"Unexpected error: {sys.exc_info()[0]}") + + NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html) + self.put_file_to_object_storage(notebook_output, notebook) + self.put_file_to_object_storage(notebook_html) + raise ex + + @staticmethod + def convert_notebook_to_html(notebook_file: str, html_file: str) -> str: + """Function to convert a Jupyter notebook file (.ipynb) into an html file + + :param notebook_file: object storage client + :param html_file: name of what the html output file should be + :return: html_file: the converted notebook in html format + """ + import nbconvert + import nbformat + + OpUtil.log_operation_info(f"converting from {notebook_file} to {html_file}") + t0 = time.time() + nb = nbformat.read(notebook_file, as_version=4) + html_exporter = nbconvert.HTMLExporter() + data, resources = html_exporter.from_notebook_node(nb) + with open(html_file, "w") as f: + f.write(data) + f.close() + + duration = time.time() - t0 + OpUtil.log_operation_info(f"{notebook_file} converted to {html_file}", duration) + return html_file + + @staticmethod + def find_best_kernel(notebook_file: str) -> str: + """Determines the best kernel to use via the following algorithm: + + 1. Loads notebook and gets kernel_name and kernel_language from NB metadata. + 2. Gets the list of configured kernels using KernelSpecManager. + 3. If notebook kernel_name is in list, use that, else + 4. If not found, load each configured kernel.json file and find a language match. + 5. On first match, log info message regarding the switch and use that kernel. + 6. If no language match is found, revert to notebook kernel and log warning message. + """ + from jupyter_client.kernelspec import KernelSpecManager + import nbformat + + nb = nbformat.read(notebook_file, 4) + + nb_kspec = nb.metadata.kernelspec + nb_kernel_name = nb_kspec.get("name") + nb_kernel_lang = nb_kspec.get("language") + + kernel_specs = KernelSpecManager().find_kernel_specs() + + # see if we have a direct match... + if nb_kernel_name in kernel_specs.keys(): + return nb_kernel_name + + # no match found for kernel, try matching language... + for name, file in kernel_specs.items(): + # load file (JSON) and pick out language, if match, use first found + with open(os.path.join(file, "kernel.json")) as f: + kspec = json.load(f) + if kspec.get("language").lower() == nb_kernel_lang.lower(): + matched_kernel = os.path.basename(file) + logger.info( + f"Matched kernel by language ({nb_kernel_lang}), using kernel " + f"'{matched_kernel}' instead of the missing kernel '{nb_kernel_name}'." + ) + return matched_kernel + + # no match found for language, return notebook kernel and let execution fail + logger.warning( + f"Reverting back to missing notebook kernel '{nb_kernel_name}' since no " + f"language match ({nb_kernel_lang}) was found in current kernel specifications." + ) + return nb_kernel_name + + +class PythonFileOp(FileOpBase): + """Perform Python File Operation""" + + def execute(self) -> None: + """Execute the Python script and upload results to object storage""" + python_script = os.path.basename(self.filepath) + python_script_name = python_script.replace(".py", "") + # python_script_output = f"{python_script_name}.log" + + try: + OpUtil.log_operation_info( + f"executing python script using 'python3 {python_script}'" + ) + t0 = time.time() + + run_args = ["python3", python_script] + if self.parameter_pass_method == "env": + self.set_parameters_in_env() + + logger.info("----------------------Python logs start----------------------") + # Removing support for the s3 storage of python script logs + # with open(python_script_output, "w") as log_file: + # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + + for line in iter(process.stdout.readline, b''): + sys.stdout.write(line.decode()) + + process.stdout.close() + return_code = process.wait() + logger.info("----------------------Python logs ends----------------------") + if return_code: + raise subprocess.CalledProcessError(return_code, run_args) + duration = time.time() - t0 + OpUtil.log_operation_info("python script execution completed", duration) + + # self.put_file_to_object_storage(python_script_output, python_script_output) + self.process_outputs() + except Exception as ex: + # log in case of errors + logger.error(f"Unexpected error: {sys.exc_info()[0]}") + logger.error(f"Error details: {ex}") + + # self.put_file_to_object_storage(python_script_output, python_script_output) + raise ex + + +class RFileOp(FileOpBase): + """Perform R File Operation""" + + def execute(self) -> None: + """Execute the R script and upload results to object storage""" + r_script = os.path.basename(self.filepath) + r_script_name = r_script.replace(".r", "") + # r_script_output = f"{r_script_name}.log" + + try: + OpUtil.log_operation_info(f"executing R script using 'Rscript {r_script}'") + t0 = time.time() + + run_args = ["Rscript", r_script] + if self.parameter_pass_method == "env": + self.set_parameters_in_env() + + logger.info("----------------------R script logs start----------------------") + # Removing support for the s3 storage of R script logs + # with open(r_script_output, "w") as log_file: + # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + + for line in iter(process.stdout.readline, b''): + sys.stdout.write(line.decode()) + + process.stdout.close() + return_code = process.wait() + logger.info("----------------------R script logs ends----------------------") + if return_code: + raise subprocess.CalledProcessError(return_code, run_args) + + duration = time.time() - t0 + OpUtil.log_operation_info("R script execution completed", duration) + + # self.put_file_to_object_storage(r_script_output, r_script_output) + self.process_outputs() + except Exception as ex: + # log in case of errors + logger.error(f"Unexpected error: {sys.exc_info()[0]}") + logger.error(f"Error details: {ex}") + + # self.put_file_to_object_storage(r_script_output, r_script_output) + raise ex + + +class OpUtil(object): + """Utility functions for preparing file execution.""" + + @classmethod + def package_install(cls, user_volume_path) -> None: + OpUtil.log_operation_info("Installing packages") + t0 = time.time() + requirements_file = cls.determine_elyra_requirements() + elyra_packages = cls.package_list_to_dict(requirements_file) + current_packages = cls.package_list_to_dict("requirements-current.txt") + to_install_list = [] + + for package, ver in elyra_packages.items(): + if package in current_packages: + if current_packages[package] is None: + logger.warning( + f"WARNING: Source package '{package}' found already installed as an " + "editable package. This may conflict with the required version: " + f"{ver} . Skipping..." + ) + continue + try: + version.Version(current_packages[package]) + except version.InvalidVersion: # current version is not PEP-440 compliant + logger.warning( + f"WARNING: Source package '{package}' found already installed from " + f"{current_packages[package]}. This may conflict with the required " + f"version: {ver} . Skipping..." + ) + continue + if version.Version(ver) > version.Version(current_packages[package]): + logger.info(f"Updating {package} package from version {current_packages[package]} to {ver}...") + to_install_list.append(f"{package}=={ver}") + elif version.Version(ver) < version.Version(current_packages[package]): + logger.info( + f"Newer {package} package with version {current_packages[package]} " + f"already installed. Skipping..." + ) + else: + logger.info(f"Package not found. Installing {package} package with version {ver}...") + to_install_list.append(f"{package}=={ver}") + + if to_install_list: + if user_volume_path: + to_install_list.insert(0, f"--target={user_volume_path}") + to_install_list.append("--no-cache-dir") + + subprocess.run([sys.executable, "-m", "pip", "install"] + to_install_list, check=True) + + if user_volume_path: + os.environ["PIP_CONFIG_FILE"] = f"{user_volume_path}/pip.conf" + + subprocess.run([sys.executable, "-m", "pip", "freeze"]) + duration = time.time() - t0 + OpUtil.log_operation_info("Packages installed", duration) + + @classmethod + def determine_elyra_requirements(cls) -> Any: + if sys.version_info.major == 3: + if sys.version_info.minor in [8, 9, 10, 11]: + return "requirements-elyra.txt" + logger.error( + f"This version of Python '{sys.version_info.major}.{sys.version_info.minor}' " + f"is not supported for Elyra generic components" + ) + return None + + @classmethod + def package_list_to_dict(cls, filename: str) -> dict: + package_dict = {} + with open(filename) as fh: + for line in fh: + if line[0] != "#": + if " @ " in line: + package_name, package_version = line.strip("\n").split(sep=" @ ") + elif "===" in line: + package_name, package_version = line.strip("\n").split(sep="===") + elif "==" in line: + package_name, package_version = line.strip("\n").split(sep="==") + elif line.startswith("-e ") or line.startswith("--editable "): + package_name = line.strip("\n").replace("-e ", "").replace("--editable ", "") + if "#egg=" in package_name: # editable package from version control system + package_name = package_name.split("=")[-1] + elif "/" in package_name: # editable package from local directory + package_name = os.path.basename(package_name) + package_version = None + else: + # Tolerate other formats but do not add to package list + continue + + package_dict[package_name] = package_version + + return package_dict + + @classmethod + def parse_arguments(cls, args) -> dict: + import argparse + + global pipeline_name, operation_name + + logger.debug("Parsing Arguments.....") + parser = argparse.ArgumentParser() + parser.add_argument( + "-e", "--cos-endpoint", dest="cos-endpoint", help="Cloud object storage endpoint", required=True + ) + parser.add_argument( + "-b", "--cos-bucket", dest="cos-bucket", help="Cloud object storage bucket to use", required=True + ) + parser.add_argument( + "-d", + "--cos-directory", + dest="cos-directory", + help="Working directory in cloud object storage bucket to use", + required=True, + ) + parser.add_argument( + "-t", + "--cos-dependencies-archive", + dest="cos-dependencies-archive", + help="Archive containing notebook and dependency artifacts", + required=True, + ) + parser.add_argument("-f", "--file", dest="filepath", help="File to execute", required=True) + parser.add_argument("-o", "--outputs", dest="outputs", help="Files to output to object store", required=False) + parser.add_argument("-i", "--inputs", dest="inputs", help="Files to pull in from parent node", required=False) + parser.add_argument( + "-p", + "--user-volume-path", + dest="user-volume-path", + help="Directory in Volume to install python libraries into", + required=False, + ) + parser.add_argument( + "-n", + "--pipeline-name", + dest="pipeline-name", + help="Pipeline name", + required=True, + ) + parser.add_argument( + "-r", + "--pipeline-parameters", + dest="pipeline_parameters", + help="Pipeline parameters that apply to this node", + required=False, + ) + parser.add_argument( + "-m", + "--parameter-pass-method", + dest="parameter_pass_method", + choices=["env"], + help="The method by which pipeline parameters should be applied to this node.", + required=False, + ) + parsed_args = vars(parser.parse_args(args)) + + # set pipeline name as global + pipeline_name = parsed_args.get("pipeline-name") + # operation/node name is the basename of the non-suffixed filepath, set as global + operation_name = os.path.basename(os.path.splitext(parsed_args.get("filepath"))[0]) + + return parsed_args + + @classmethod + def log_operation_info(cls, action_clause: str, duration_secs: Optional[float] = None) -> None: + """Produces a formatted log INFO message used entirely for support purposes. + + This method is intended to be called for any entries that should be captured across aggregated + log files to identify steps within a given pipeline and each of its operations. As a result, + calls to this method should produce single-line entries in the log (no embedded newlines). + Each entry is prefixed with the pipeline name. + + General logging should NOT use this method but use logger.() statements directly. + + :param action_clause: str representing the action that is being logged + :param duration_secs: optional float value representing the duration of the action being logged + """ + global pipeline_name, operation_name + if enable_pipeline_info: + duration_clause = f"({duration_secs:.3f} secs)" if duration_secs else "" + logger.info(f"'{pipeline_name}':'{operation_name}' - {action_clause} {duration_clause}") + + +def main(): + # Configure logger format, level + logging.basicConfig( + format="[%(levelname)1.1s %(asctime)s.%(msecs).03d] %(message)s", datefmt="%H:%M:%S", level=logging.DEBUG + ) + # Setup packages and gather arguments + input_params = OpUtil.parse_arguments(sys.argv[1:]) + OpUtil.log_operation_info("starting operation") + t0 = time.time() + OpUtil.package_install(user_volume_path=input_params.get("user-volume-path")) + + # Create the appropriate instance, process dependencies and execute the operation + file_op = FileOpBase.get_instance(**input_params) + + file_op.process_dependencies() + + file_op.execute() + + # Process notebook | script metrics and KFP UI metadata + file_op.process_metrics_and_metadata() + + duration = time.time() - t0 + OpUtil.log_operation_info("operation completed", duration) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/utils/pip.conf b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/pip.conf new file mode 100644 index 000000000..69a2baf4c --- /dev/null +++ b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/pip.conf @@ -0,0 +1,4 @@ +# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/kfp/pip.conf + +[global] +target=/opt/app-root/src/jupyter-work-dir/python3/ diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/utils/requirements-elyra.txt b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/requirements-elyra.txt new file mode 100644 index 000000000..ddf75d0c5 --- /dev/null +++ b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/requirements-elyra.txt @@ -0,0 +1,71 @@ +# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt + +# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks. +ipykernel==6.13.0 +ipython==8.10.0 +ipython-genutils==0.2.0 +jinja2==3.1.4 +jupyter-client==7.3.1 +jupyter-core==4.11.2 +MarkupSafe==2.1.1 +minio==7.1.15 +nbclient==0.6.3 +nbconvert==7.1.0 +nbformat==5.4.0 +papermill==2.3.4 +pyzmq==24.0.1 +prompt-toolkit==3.0.30 +requests==2.31.0 +tornado==6.3.3 +traitlets==5.1.1 +urllib3==1.26.9 +# +# These excluded are transitive dependencies of the included python packages. +#ansiwrap==0.8.4 +#appnope==0.1.3 +#asttokens==2.0.5 +#attrs==21.4.0 +#backcall==0.2.0 +#beautifulsoup4==4.11.1 +#bleach==5.0.0 +#certifi==2021.10.8 +#charset-normalizer==2.0.12 +#click==8.1.3 +#debugpy==1.6.0 +#decorator==5.1.1 +#defusedxml==0.7.1 +#entrypoints==0.4 +#executing==0.8.3 +#fastjsonschema==2.15.3 +#idna==3.3 +#importlib-resources==5.7.1 +#jedi==0.18.1 +#jsonschema==4.5.1 +#jupyterlab-pygments==0.2.2 +#matplotlib-inline==0.1.3 +#mistune==0.8.4 +#nest-asyncio==1.5.5 +#packaging==21.3 +#pandocfilters==1.5.0 +#parso==0.8.3 +#pexpect==4.8.0 +#pickleshare==0.7.5 +#psutil==5.9.0 +#ptyprocess==0.7.0 +#pure-eval==0.2.2 +#Pygments==2.12.0 +#pyparsing==3.0.9 +#pyrsistent==0.18.1 +#python-dateutil==2.8.2 +#PyYAML==6.0 +#six==1.16.0 +#soupsieve==2.3.2.post1 +#stack-data==0.2.0 +#tenacity==8.0.1 +#textwrap3==0.9.2 +#tinycss2==1.1.1 +#tqdm==4.64.0 +#wcwidth==0.2.5 +#webencodings==0.5.1 +#zipp==3.8.0 +# diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/Dockerfile b/runtimes/rocm-tensorflow/ubi9-python-3.9/Dockerfile new file mode 100644 index 000000000..4e0b753d0 --- /dev/null +++ b/runtimes/rocm-tensorflow/ubi9-python-3.9/Dockerfile @@ -0,0 +1,28 @@ +ARG BASE_IMAGE +FROM ${BASE_IMAGE} + +LABEL name="odh-notebook-rocm-runtime-tensorflow-ubi9-python-3.9" \ + summary="Runtime ROCm tensorflow notebook image for ODH notebooks" \ + description="Runtime ROCm tensorflow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ + io.k8s.display-name="Runtime ROCm tensorflow notebook image for ODH notebooks" \ + io.k8s.description="Runtime ROCm tensorflow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ + authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ + io.openshift.build.commit.ref="main" \ + io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/runtimes/rocm-tensorflow/ubi9-python-3.9" \ + io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-runtime-tensorflow-ubi9-python-3.9" + +WORKDIR /opt/app-root/bin + +# Install Python packages from Pipfile.lock +COPY Pipfile.lock ./ +# Copy Elyra dependencies for air-gapped enviroment +COPY utils ./utils/ + +RUN echo "Installing softwares and packages" && \ + micropipenv install && \ + rm -f ./Pipfile.lock && \ + # Fix permissions to support pip in Openshift environments \ + chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ + fix-permissions /opt/app-root -P + +WORKDIR /opt/app-root/src diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/Pipfile b/runtimes/rocm-tensorflow/ubi9-python-3.9/Pipfile new file mode 100644 index 000000000..38f393b0f --- /dev/null +++ b/runtimes/rocm-tensorflow/ubi9-python-3.9/Pipfile @@ -0,0 +1,54 @@ +[[source]] +url = "https://pypi.org/simple" +verify_ssl = true +name = "pypi" + +[dev-packages] + +[packages] +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" +matplotlib = "~=3.8.3" +numpy = "~=1.26.4" +pandas = "~=2.2.0" +plotly = "~=5.20.0" +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 = "~=0.16.4" +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" + +# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks. +ipykernel = "==6.13.0" +ipython = "==8.10.0" +ipython-genutils = "==0.2.0" +jinja2 = "==3.1.4" +jupyter-client = "==7.3.1" +jupyter-core = "==4.11.2" +MarkupSafe = "==2.1.1" +minio = "==7.1.15" +nbclient = "==0.6.3" +nbconvert = "==7.1.0" +nbformat = "==5.4.0" +papermill = "==2.3.4" +pyzmq = "==24.0.1" +prompt-toolkit = "==3.0.30" 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b/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml @@ -0,0 +1,14 @@ +--- +apiVersion: kustomize.config.k8s.io/v1beta1 +kind: Kustomization +namePrefix: runtime- +resources: + - pod.yaml +images: + - name: runtime-workbench + newName: quay.io/opendatahub/workbench-images + newTag: runtime-rocm-tensorflow-ubi9-python-3.9 +configMapGenerator: + - name: req-config + files: + - requirements-elyra.txt diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml b/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml new file mode 100644 index 000000000..bc5343566 --- /dev/null +++ b/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml @@ -0,0 +1,29 @@ +--- +apiVersion: v1 +kind: Pod +metadata: + name: pod + labels: + app: runtime-image +spec: + containers: + - name: runtime + image: runtime-workbench + command: ["/bin/sh", "-c", "while true ; do date; sleep 1; done;"] + imagePullPolicy: Always + ports: + - containerPort: 8080 + resources: + limits: + cpu: 500m + memory: 500Mi + requests: + cpu: 500m + memory: 500Mi + volumeMounts: + - name: config + mountPath: /opt/app-root/elyra + volumes: + - name: config + configMap: + name: req-config diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/requirements-elyra.txt new file mode 100644 index 000000000..91fb8e57d --- /dev/null +++ b/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/requirements-elyra.txt @@ -0,0 +1,20 @@ +# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks. +# This is copied from elyra directly: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt +ipykernel==6.13.0 +ipython==8.10.0 +ipython-genutils==0.2.0 +jinja2==3.1.4 +jupyter-client==7.3.1 +jupyter-core==4.11.2 +MarkupSafe==2.1.1 +minio==7.1.15 +nbclient==0.6.3 +nbconvert==7.1.0 +nbformat==5.4.0 +papermill==2.3.4 +pyzmq==24.0.1 +prompt-toolkit==3.0.30 +requests==2.31.0 +tornado==6.3.3 +traitlets==5.1.1 +urllib3==1.26.18 diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/bootstrapper.py b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/bootstrapper.py new file mode 100644 index 000000000..6163cdd84 --- /dev/null +++ b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/bootstrapper.py @@ -0,0 +1,770 @@ +# Copied from: https://github.com/elyra-ai/elyra/blob/main/elyra/kfp/bootstrapper.py +# +# Copyright 2018-2023 Elyra Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from abc import ABC +from abc import abstractmethod +import glob +import json +import logging +import os +from pathlib import Path +import subprocess +import sys +from tempfile import TemporaryFile +import time +from typing import Any +from typing import Dict +from typing import Optional +from typing import Type +from typing import TypeVar +from urllib.parse import urljoin +from urllib.parse import urlparse +from urllib.parse import urlunparse + +from packaging import version + + +# Inputs and Outputs separator character. If updated, +# same-named variable in _notebook_op.py must be updated! +INOUT_SEPARATOR = ";" + +# Setup forward reference for type hint on return from class factory method. See +# https://stackoverflow.com/questions/39205527/can-you-annotate-return-type-when-value-is-instance-of-cls/39205612#39205612 +F = TypeVar("F", bound="FileOpBase") + +logger = logging.getLogger("elyra") +enable_pipeline_info = os.getenv("ELYRA_ENABLE_PIPELINE_INFO", "true").lower() == "true" +pipeline_name = None # global used in formatted logging +operation_name = None # global used in formatted logging + + +class FileOpBase(ABC): + """Abstract base class for file-based operations""" + + filepath = None + cos_client = None + cos_bucket = None + + @classmethod + def get_instance(cls: Type[F], **kwargs: Any) -> F: + """Creates an appropriate subclass instance based on the extension of the filepath (-f) argument""" + filepath = kwargs["filepath"] + if ".ipynb" in filepath: + return NotebookFileOp(**kwargs) + elif ".py" in filepath: + return PythonFileOp(**kwargs) + elif ".r" in filepath: + return RFileOp(**kwargs) + else: + raise ValueError(f"Unsupported file type: {filepath}") + + def __init__(self, **kwargs: Any) -> None: + """Initializes the FileOpBase instance""" + import minio + from minio.credentials import providers + + self.filepath = kwargs["filepath"] + self.input_params = kwargs or {} + self.cos_endpoint = urlparse(self.input_params.get("cos-endpoint")) + self.cos_bucket = self.input_params.get("cos-bucket") + + self.parameter_pass_method = self.input_params.get("parameter_pass_method") + self.pipeline_param_dict = self.convert_param_str_to_dict(self.input_params.get("pipeline_parameters")) + + # Infer secure from the endpoint's scheme. + self.secure = self.cos_endpoint.scheme == "https" + + # get minio credentials provider + if "cos-user" in self.input_params and "cos-password" in self.input_params: + cred_provider = providers.StaticProvider( + access_key=self.input_params.get("cos-user"), + secret_key=self.input_params.get("cos-password"), + ) + elif "AWS_ACCESS_KEY_ID" in os.environ and "AWS_SECRET_ACCESS_KEY" in os.environ: + cred_provider = providers.EnvAWSProvider() + elif "AWS_ROLE_ARN" in os.environ and "AWS_WEB_IDENTITY_TOKEN_FILE" in os.environ: + cred_provider = providers.IamAwsProvider() + else: + raise RuntimeError( + "No minio credentials provider can be initialised for current configs. " + "Please validate your runtime configuration details and retry." + ) + + # get minio client + self.cos_client = minio.Minio(self.cos_endpoint.netloc, secure=self.secure, credentials=cred_provider) + + @abstractmethod + def execute(self) -> None: + """Execute the operation relative to derived class""" + raise NotImplementedError("Method 'execute()' must be implemented by subclasses!") + + def process_dependencies(self) -> None: + """Process dependencies + + If a dependency archive is present, it will be downloaded from object storage + and expanded into the local directory. + + This method can be overridden by subclasses, although overrides should first + call the superclass method. + """ + OpUtil.log_operation_info("processing dependencies") + t0 = time.time() + archive_file = self.input_params.get("cos-dependencies-archive") + + self.get_file_from_object_storage(archive_file) + + inputs = self.input_params.get("inputs") + if inputs: + input_list = inputs.split(INOUT_SEPARATOR) + for file in input_list: + self.get_file_from_object_storage(file.strip()) + + subprocess.call(["tar", "-zxvf", archive_file]) + duration = time.time() - t0 + OpUtil.log_operation_info("dependencies processed", duration) + + def process_outputs(self) -> None: + """Process outputs + + If outputs have been specified, it will upload the appropriate files to object storage + + This method can be overridden by subclasses, although overrides should first + call the superclass method. + """ + OpUtil.log_operation_info("processing outputs") + t0 = time.time() + outputs = self.input_params.get("outputs") + if outputs: + output_list = outputs.split(INOUT_SEPARATOR) + for file in output_list: + self.process_output_file(file.strip()) + duration = time.time() - t0 + OpUtil.log_operation_info("outputs processed", duration) + + def process_metrics_and_metadata(self) -> None: + """Process metrics and metadata + + This method exposes metrics/metadata that the processed + notebook | script produces in the KFP UI. + + This method should not be overridden by subclasses. + """ + + OpUtil.log_operation_info("processing metrics and metadata") + t0 = time.time() + + # Location where the KFP specific output files will be stored + # in the environment where the bootsrapper is running. + # Defaults to '/tmp' if not specified. + output_path = Path(os.getenv("ELYRA_WRITABLE_CONTAINER_DIR", "/tmp")) + + # verify that output_path exists, is a directory + # and writable by creating a temporary file in that location + try: + with TemporaryFile(mode="w", dir=output_path) as t: + t.write("can write") + except Exception: + # output_path doesn't meet the requirements + # treat this as a non-fatal error and log a warning + logger.warning(f'Cannot create files in "{output_path}".') + OpUtil.log_operation_info("Aborted metrics and metadata processing", time.time() - t0) + return + + # Name of the proprietary KFP UI metadata file. + # Notebooks | scripts might (but don't have to) produce this file + # as documented in + # https://www.kubeflow.org/docs/pipelines/sdk/output-viewer/ + # Each ExecuteFileOp must declare this as an output file or + # the KFP UI won't pick up the information. + kfp_ui_metadata_filename = "mlpipeline-ui-metadata.json" + + # Name of the proprietary KFP metadata file. + # Notebooks | scripts might (but don't have to) produce this file + # as documented in + # https://www.kubeflow.org/docs/pipelines/sdk/pipelines-metrics/ + # Each ExecuteFileOp must declare this as an output file or + # the KFP UI won't pick up the information. + kfp_metrics_filename = "mlpipeline-metrics.json" + + # If the notebook | Python script produced one of the files + # copy it to the target location where KFP is looking for it. + for filename in [kfp_ui_metadata_filename, kfp_metrics_filename]: + try: + src = Path(".") / filename + logger.debug(f"Processing {src} ...") + # try to load the file, if one was created by the + # notebook or script + with open(src, "r") as f: + metadata = json.load(f) + + # the file exists and contains valid JSON + logger.debug(f"File content: {json.dumps(metadata)}") + + target = output_path / filename + # try to save the file in the destination location + with open(target, "w") as f: + json.dump(metadata, f) + except FileNotFoundError: + # The script | notebook didn't produce the file + # we are looking for. This is not an error condition + # that needs to be handled. + logger.debug(f"{self.filepath} produced no file named {src}") + except ValueError as ve: + # The file content could not be parsed. Log a warning + # and treat this as a non-fatal error. + logger.warning(f"Ignoring incompatible {str(src)} produced by {self.filepath}: {ve} {str(ve)}") + except Exception as ex: + # Something is wrong with the user-generated metadata file. + # Log a warning and treat this as a non-fatal error. + logger.warning(f"Error processing {str(src)} produced by {self.filepath}: {ex} {str(ex)}") + + # + # Augment kfp_ui_metadata_filename with Elyra-specific information: + # - link to object storage where input and output artifacts are + # stored + ui_metadata_output = output_path / kfp_ui_metadata_filename + try: + # re-load the file + with open(ui_metadata_output, "r") as f: + metadata = json.load(f) + except Exception: + # ignore all errors + metadata = {} + + # Assure the 'output' property exists and is of the correct type + if metadata.get("outputs", None) is None or not isinstance(metadata["outputs"], list): + metadata["outputs"] = [] + + # Define HREF for COS bucket: + # // + bucket_url = urljoin( + urlunparse(self.cos_endpoint), f"{self.cos_bucket}/{self.input_params.get('cos-directory', '')}/" + ) + + # add Elyra metadata to 'outputs' + metadata["outputs"].append( + { + "storage": "inline", + "source": f"## Inputs for {self.filepath}\n" + f"[{self.input_params['cos-dependencies-archive']}]({bucket_url})", + "type": "markdown", + } + ) + + # print the content of the augmented metadata file + logger.debug(f"Output UI metadata: {json.dumps(metadata)}") + + logger.debug(f"Saving UI metadata file as {ui_metadata_output} ...") + + # Save [updated] KFP UI metadata file + with open(ui_metadata_output, "w") as f: + json.dump(metadata, f) + + duration = time.time() - t0 + OpUtil.log_operation_info("metrics and metadata processed", duration) + + def get_object_storage_filename(self, filename: str) -> str: + """Function to pre-pend cloud storage working dir to file name + + :param filename: the local file + :return: the full path of the object storage file + """ + return os.path.join(self.input_params.get("cos-directory", ""), filename) + + def get_file_from_object_storage(self, file_to_get: str) -> None: + """Utility function to get files from an object storage + + :param file_to_get: filename + """ + + object_to_get = self.get_object_storage_filename(file_to_get) + t0 = time.time() + self.cos_client.fget_object(bucket_name=self.cos_bucket, object_name=object_to_get, file_path=file_to_get) + duration = time.time() - t0 + OpUtil.log_operation_info( + f"downloaded {file_to_get} from bucket: {self.cos_bucket}, object: {object_to_get}", duration + ) + + def put_file_to_object_storage(self, file_to_upload: str, object_name: Optional[str] = None) -> None: + """Utility function to put files into an object storage + + :param file_to_upload: filename + :param object_name: remote filename (used to rename) + """ + + object_to_upload = object_name + if not object_to_upload: + object_to_upload = file_to_upload + + object_to_upload = self.get_object_storage_filename(object_to_upload) + t0 = time.time() + self.cos_client.fput_object(bucket_name=self.cos_bucket, object_name=object_to_upload, file_path=file_to_upload) + duration = time.time() - t0 + OpUtil.log_operation_info( + f"uploaded {file_to_upload} to bucket: {self.cos_bucket} object: {object_to_upload}", duration + ) + + def has_wildcard(self, filename): + wildcards = ["*", "?"] + return bool(any(c in filename for c in wildcards)) + + def process_output_file(self, output_file): + """Puts the file to object storage. Handles wildcards and directories.""" + + matched_files = [output_file] + if self.has_wildcard(output_file): # explode the wildcarded file + matched_files = glob.glob(output_file) + + for matched_file in matched_files: + if os.path.isdir(matched_file): + for file in os.listdir(matched_file): + self.process_output_file(os.path.join(matched_file, file)) + else: + self.put_file_to_object_storage(matched_file) + + def convert_param_str_to_dict(self, pipeline_parameters: Optional[str] = None) -> Dict[str, Any]: + """Convert INOUT-separated string of pipeline parameters into a dictionary.""" + parameter_dict = {} + if pipeline_parameters: + parameter_list = pipeline_parameters.split(INOUT_SEPARATOR) + for parameter in parameter_list: + param_name, value = parameter.split("=", 1) + if self.parameter_pass_method == "env" and (not value or not isinstance(value, str)): + continue # env vars must be non-empty strings + parameter_dict[param_name] = value + return parameter_dict + + def set_parameters_in_env(self) -> None: + """Make pipeline parameters available as environment variables.""" + for name, value in self.pipeline_param_dict.items(): + if name in os.environ: + continue # avoid overwriting env vars with the same name + os.environ[name] = value + + +class NotebookFileOp(FileOpBase): + """Perform Notebook File Operation""" + + def execute(self) -> None: + """Execute the Notebook and upload results to object storage""" + notebook = os.path.basename(self.filepath) + notebook_name = notebook.replace(".ipynb", "") + notebook_output = f"{notebook_name}-output.ipynb" + notebook_html = f"{notebook_name}.html" + + try: + OpUtil.log_operation_info(f"executing notebook using 'papermill {notebook} {notebook_output}'") + t0 = time.time() + # Include kernel selection in execution time + kernel_name = NotebookFileOp.find_best_kernel(notebook) + + kwargs = {} + if self.parameter_pass_method == "env": + self.set_parameters_in_env() + + import papermill + + papermill.execute_notebook(notebook, notebook_output, kernel_name=kernel_name, **kwargs) + duration = time.time() - t0 + OpUtil.log_operation_info("notebook execution completed", duration) + + NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html) + self.put_file_to_object_storage(notebook_output, notebook) + self.put_file_to_object_storage(notebook_html) + self.process_outputs() + except Exception as ex: + # log in case of errors + logger.error(f"Unexpected error: {sys.exc_info()[0]}") + + NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html) + self.put_file_to_object_storage(notebook_output, notebook) + self.put_file_to_object_storage(notebook_html) + raise ex + + @staticmethod + def convert_notebook_to_html(notebook_file: str, html_file: str) -> str: + """Function to convert a Jupyter notebook file (.ipynb) into an html file + + :param notebook_file: object storage client + :param html_file: name of what the html output file should be + :return: html_file: the converted notebook in html format + """ + import nbconvert + import nbformat + + OpUtil.log_operation_info(f"converting from {notebook_file} to {html_file}") + t0 = time.time() + nb = nbformat.read(notebook_file, as_version=4) + html_exporter = nbconvert.HTMLExporter() + data, resources = html_exporter.from_notebook_node(nb) + with open(html_file, "w") as f: + f.write(data) + f.close() + + duration = time.time() - t0 + OpUtil.log_operation_info(f"{notebook_file} converted to {html_file}", duration) + return html_file + + @staticmethod + def find_best_kernel(notebook_file: str) -> str: + """Determines the best kernel to use via the following algorithm: + + 1. Loads notebook and gets kernel_name and kernel_language from NB metadata. + 2. Gets the list of configured kernels using KernelSpecManager. + 3. If notebook kernel_name is in list, use that, else + 4. If not found, load each configured kernel.json file and find a language match. + 5. On first match, log info message regarding the switch and use that kernel. + 6. If no language match is found, revert to notebook kernel and log warning message. + """ + from jupyter_client.kernelspec import KernelSpecManager + import nbformat + + nb = nbformat.read(notebook_file, 4) + + nb_kspec = nb.metadata.kernelspec + nb_kernel_name = nb_kspec.get("name") + nb_kernel_lang = nb_kspec.get("language") + + kernel_specs = KernelSpecManager().find_kernel_specs() + + # see if we have a direct match... + if nb_kernel_name in kernel_specs.keys(): + return nb_kernel_name + + # no match found for kernel, try matching language... + for name, file in kernel_specs.items(): + # load file (JSON) and pick out language, if match, use first found + with open(os.path.join(file, "kernel.json")) as f: + kspec = json.load(f) + if kspec.get("language").lower() == nb_kernel_lang.lower(): + matched_kernel = os.path.basename(file) + logger.info( + f"Matched kernel by language ({nb_kernel_lang}), using kernel " + f"'{matched_kernel}' instead of the missing kernel '{nb_kernel_name}'." + ) + return matched_kernel + + # no match found for language, return notebook kernel and let execution fail + logger.warning( + f"Reverting back to missing notebook kernel '{nb_kernel_name}' since no " + f"language match ({nb_kernel_lang}) was found in current kernel specifications." + ) + return nb_kernel_name + + +class PythonFileOp(FileOpBase): + """Perform Python File Operation""" + + def execute(self) -> None: + """Execute the Python script and upload results to object storage""" + python_script = os.path.basename(self.filepath) + python_script_name = python_script.replace(".py", "") + # python_script_output = f"{python_script_name}.log" + + try: + OpUtil.log_operation_info( + f"executing python script using 'python3 {python_script}'" + ) + t0 = time.time() + + run_args = ["python3", python_script] + if self.parameter_pass_method == "env": + self.set_parameters_in_env() + + logger.info("----------------------Python logs start----------------------") + # Removing support for the s3 storage of python script logs + # with open(python_script_output, "w") as log_file: + # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + + for line in iter(process.stdout.readline, b''): + sys.stdout.write(line.decode()) + + process.stdout.close() + return_code = process.wait() + logger.info("----------------------Python logs ends----------------------") + if return_code: + raise subprocess.CalledProcessError(return_code, run_args) + duration = time.time() - t0 + OpUtil.log_operation_info("python script execution completed", duration) + + # self.put_file_to_object_storage(python_script_output, python_script_output) + self.process_outputs() + except Exception as ex: + # log in case of errors + logger.error(f"Unexpected error: {sys.exc_info()[0]}") + logger.error(f"Error details: {ex}") + + # self.put_file_to_object_storage(python_script_output, python_script_output) + raise ex + + +class RFileOp(FileOpBase): + """Perform R File Operation""" + + def execute(self) -> None: + """Execute the R script and upload results to object storage""" + r_script = os.path.basename(self.filepath) + r_script_name = r_script.replace(".r", "") + # r_script_output = f"{r_script_name}.log" + + try: + OpUtil.log_operation_info(f"executing R script using 'Rscript {r_script}'") + t0 = time.time() + + run_args = ["Rscript", r_script] + if self.parameter_pass_method == "env": + self.set_parameters_in_env() + + logger.info("----------------------R script logs start----------------------") + # Removing support for the s3 storage of R script logs + # with open(r_script_output, "w") as log_file: + # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + + for line in iter(process.stdout.readline, b''): + sys.stdout.write(line.decode()) + + process.stdout.close() + return_code = process.wait() + logger.info("----------------------R script logs ends----------------------") + if return_code: + raise subprocess.CalledProcessError(return_code, run_args) + + duration = time.time() - t0 + OpUtil.log_operation_info("R script execution completed", duration) + + # self.put_file_to_object_storage(r_script_output, r_script_output) + self.process_outputs() + except Exception as ex: + # log in case of errors + logger.error(f"Unexpected error: {sys.exc_info()[0]}") + logger.error(f"Error details: {ex}") + + # self.put_file_to_object_storage(r_script_output, r_script_output) + raise ex + + +class OpUtil(object): + """Utility functions for preparing file execution.""" + + @classmethod + def package_install(cls, user_volume_path) -> None: + OpUtil.log_operation_info("Installing packages") + t0 = time.time() + requirements_file = cls.determine_elyra_requirements() + elyra_packages = cls.package_list_to_dict(requirements_file) + current_packages = cls.package_list_to_dict("requirements-current.txt") + to_install_list = [] + + for package, ver in elyra_packages.items(): + if package in current_packages: + if current_packages[package] is None: + logger.warning( + f"WARNING: Source package '{package}' found already installed as an " + "editable package. This may conflict with the required version: " + f"{ver} . Skipping..." + ) + continue + try: + version.Version(current_packages[package]) + except version.InvalidVersion: # current version is not PEP-440 compliant + logger.warning( + f"WARNING: Source package '{package}' found already installed from " + f"{current_packages[package]}. This may conflict with the required " + f"version: {ver} . Skipping..." + ) + continue + if version.Version(ver) > version.Version(current_packages[package]): + logger.info(f"Updating {package} package from version {current_packages[package]} to {ver}...") + to_install_list.append(f"{package}=={ver}") + elif version.Version(ver) < version.Version(current_packages[package]): + logger.info( + f"Newer {package} package with version {current_packages[package]} " + f"already installed. Skipping..." + ) + else: + logger.info(f"Package not found. Installing {package} package with version {ver}...") + to_install_list.append(f"{package}=={ver}") + + if to_install_list: + if user_volume_path: + to_install_list.insert(0, f"--target={user_volume_path}") + to_install_list.append("--no-cache-dir") + + subprocess.run([sys.executable, "-m", "pip", "install"] + to_install_list, check=True) + + if user_volume_path: + os.environ["PIP_CONFIG_FILE"] = f"{user_volume_path}/pip.conf" + + subprocess.run([sys.executable, "-m", "pip", "freeze"]) + duration = time.time() - t0 + OpUtil.log_operation_info("Packages installed", duration) + + @classmethod + def determine_elyra_requirements(cls) -> Any: + if sys.version_info.major == 3: + if sys.version_info.minor in [8, 9, 10, 11]: + return "requirements-elyra.txt" + logger.error( + f"This version of Python '{sys.version_info.major}.{sys.version_info.minor}' " + f"is not supported for Elyra generic components" + ) + return None + + @classmethod + def package_list_to_dict(cls, filename: str) -> dict: + package_dict = {} + with open(filename) as fh: + for line in fh: + if line[0] != "#": + if " @ " in line: + package_name, package_version = line.strip("\n").split(sep=" @ ") + elif "===" in line: + package_name, package_version = line.strip("\n").split(sep="===") + elif "==" in line: + package_name, package_version = line.strip("\n").split(sep="==") + elif line.startswith("-e ") or line.startswith("--editable "): + package_name = line.strip("\n").replace("-e ", "").replace("--editable ", "") + if "#egg=" in package_name: # editable package from version control system + package_name = package_name.split("=")[-1] + elif "/" in package_name: # editable package from local directory + package_name = os.path.basename(package_name) + package_version = None + else: + # Tolerate other formats but do not add to package list + continue + + package_dict[package_name] = package_version + + return package_dict + + @classmethod + def parse_arguments(cls, args) -> dict: + import argparse + + global pipeline_name, operation_name + + logger.debug("Parsing Arguments.....") + parser = argparse.ArgumentParser() + parser.add_argument( + "-e", "--cos-endpoint", dest="cos-endpoint", help="Cloud object storage endpoint", required=True + ) + parser.add_argument( + "-b", "--cos-bucket", dest="cos-bucket", help="Cloud object storage bucket to use", required=True + ) + parser.add_argument( + "-d", + "--cos-directory", + dest="cos-directory", + help="Working directory in cloud object storage bucket to use", + required=True, + ) + parser.add_argument( + "-t", + "--cos-dependencies-archive", + dest="cos-dependencies-archive", + help="Archive containing notebook and dependency artifacts", + required=True, + ) + parser.add_argument("-f", "--file", dest="filepath", help="File to execute", required=True) + parser.add_argument("-o", "--outputs", dest="outputs", help="Files to output to object store", required=False) + parser.add_argument("-i", "--inputs", dest="inputs", help="Files to pull in from parent node", required=False) + parser.add_argument( + "-p", + "--user-volume-path", + dest="user-volume-path", + help="Directory in Volume to install python libraries into", + required=False, + ) + parser.add_argument( + "-n", + "--pipeline-name", + dest="pipeline-name", + help="Pipeline name", + required=True, + ) + parser.add_argument( + "-r", + "--pipeline-parameters", + dest="pipeline_parameters", + help="Pipeline parameters that apply to this node", + required=False, + ) + parser.add_argument( + "-m", + "--parameter-pass-method", + dest="parameter_pass_method", + choices=["env"], + help="The method by which pipeline parameters should be applied to this node.", + required=False, + ) + parsed_args = vars(parser.parse_args(args)) + + # set pipeline name as global + pipeline_name = parsed_args.get("pipeline-name") + # operation/node name is the basename of the non-suffixed filepath, set as global + operation_name = os.path.basename(os.path.splitext(parsed_args.get("filepath"))[0]) + + return parsed_args + + @classmethod + def log_operation_info(cls, action_clause: str, duration_secs: Optional[float] = None) -> None: + """Produces a formatted log INFO message used entirely for support purposes. + + This method is intended to be called for any entries that should be captured across aggregated + log files to identify steps within a given pipeline and each of its operations. As a result, + calls to this method should produce single-line entries in the log (no embedded newlines). + Each entry is prefixed with the pipeline name. + + General logging should NOT use this method but use logger.() statements directly. + + :param action_clause: str representing the action that is being logged + :param duration_secs: optional float value representing the duration of the action being logged + """ + global pipeline_name, operation_name + if enable_pipeline_info: + duration_clause = f"({duration_secs:.3f} secs)" if duration_secs else "" + logger.info(f"'{pipeline_name}':'{operation_name}' - {action_clause} {duration_clause}") + + +def main(): + # Configure logger format, level + logging.basicConfig( + format="[%(levelname)1.1s %(asctime)s.%(msecs).03d] %(message)s", datefmt="%H:%M:%S", level=logging.DEBUG + ) + # Setup packages and gather arguments + input_params = OpUtil.parse_arguments(sys.argv[1:]) + OpUtil.log_operation_info("starting operation") + t0 = time.time() + OpUtil.package_install(user_volume_path=input_params.get("user-volume-path")) + + # Create the appropriate instance, process dependencies and execute the operation + file_op = FileOpBase.get_instance(**input_params) + + file_op.process_dependencies() + + file_op.execute() + + # Process notebook | script metrics and KFP UI metadata + file_op.process_metrics_and_metadata() + + duration = time.time() - t0 + OpUtil.log_operation_info("operation completed", duration) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/pip.conf b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/pip.conf new file mode 100644 index 000000000..69a2baf4c --- /dev/null +++ b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/pip.conf @@ -0,0 +1,4 @@ +# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/kfp/pip.conf + +[global] +target=/opt/app-root/src/jupyter-work-dir/python3/ diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/requirements-elyra.txt b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/requirements-elyra.txt new file mode 100644 index 000000000..ddf75d0c5 --- /dev/null +++ b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/requirements-elyra.txt @@ -0,0 +1,71 @@ +# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt + +# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks. +ipykernel==6.13.0 +ipython==8.10.0 +ipython-genutils==0.2.0 +jinja2==3.1.4 +jupyter-client==7.3.1 +jupyter-core==4.11.2 +MarkupSafe==2.1.1 +minio==7.1.15 +nbclient==0.6.3 +nbconvert==7.1.0 +nbformat==5.4.0 +papermill==2.3.4 +pyzmq==24.0.1 +prompt-toolkit==3.0.30 +requests==2.31.0 +tornado==6.3.3 +traitlets==5.1.1 +urllib3==1.26.9 +# +# These excluded are transitive dependencies of the included python packages. +#ansiwrap==0.8.4 +#appnope==0.1.3 +#asttokens==2.0.5 +#attrs==21.4.0 +#backcall==0.2.0 +#beautifulsoup4==4.11.1 +#bleach==5.0.0 +#certifi==2021.10.8 +#charset-normalizer==2.0.12 +#click==8.1.3 +#debugpy==1.6.0 +#decorator==5.1.1 +#defusedxml==0.7.1 +#entrypoints==0.4 +#executing==0.8.3 +#fastjsonschema==2.15.3 +#idna==3.3 +#importlib-resources==5.7.1 +#jedi==0.18.1 +#jsonschema==4.5.1 +#jupyterlab-pygments==0.2.2 +#matplotlib-inline==0.1.3 +#mistune==0.8.4 +#nest-asyncio==1.5.5 +#packaging==21.3 +#pandocfilters==1.5.0 +#parso==0.8.3 +#pexpect==4.8.0 +#pickleshare==0.7.5 +#psutil==5.9.0 +#ptyprocess==0.7.0 +#pure-eval==0.2.2 +#Pygments==2.12.0 +#pyparsing==3.0.9 +#pyrsistent==0.18.1 +#python-dateutil==2.8.2 +#PyYAML==6.0 +#six==1.16.0 +#soupsieve==2.3.2.post1 +#stack-data==0.2.0 +#tenacity==8.0.1 +#textwrap3==0.9.2 +#tinycss2==1.1.1 +#tqdm==4.64.0 +#wcwidth==0.2.5 +#webencodings==0.5.1 +#zipp==3.8.0 +# diff --git a/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock b/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock index 011a50bb6..0098074a8 100644 --- a/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock +++ b/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock @@ -224,7 +224,7 @@ "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051", "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed" ], - "markers": "python_version >= '3.6'", + "markers": "python_full_version >= '3.6.0'", "version": "==4.12.3" }, "bleach": { @@ -410,7 +410,7 @@ "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519", "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561" ], - "markers": "python_version >= '3.7'", + "markers": "python_full_version >= '3.7.0'", "version": "==3.3.2" }, "click": { @@ -427,6 +427,7 @@ "sha256:d94e5d477fcad7e4dd456b75f2f7b9af1fc0a315fa4cd81c24987bc4b331ee56" ], "index": "pypi", + "markers": "python_version >= '3.8' and python_version < '4.0'", "version": "==0.16.3" }, "codeflare-torchx": { @@ -796,6 +797,7 @@ "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e", "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49" ], + "markers": "python_version >= '3.8'", "version": "==2024.6.1" }, "gast": { @@ -943,7 +945,7 @@ "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369", "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d" ], - "markers": "python_version < '3.10' and python_version < '3.10'", + "markers": "python_version < '3.10'", "version": "==8.2.0" }, "importlib-resources": { @@ -951,7 +953,7 @@ "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c", "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145" ], - "markers": "python_version < '3.10' and python_version < '3.9'", + "markers": "python_version < '3.10'", "version": "==6.4.0" }, "ipykernel": { @@ -960,6 +962,7 @@ "sha256:2b0987af43c0d4b62cecb13c592755f599f96f29aafe36c01731aaa96df30d39" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==6.13.0" }, "ipython": { @@ -968,6 +971,7 @@ "sha256:b38c31e8fc7eff642fc7c597061fff462537cf2314e3225a19c906b7b0d8a345" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==8.10.0" }, "ipython-genutils": { @@ -1000,6 +1004,7 @@ "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==3.1.4" }, "joblib": { @@ -1032,6 +1037,7 @@ "sha256:404abe552540aff3527e66e16beb114b6b4ff58479d51a301f4eb9701e4f52ef" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==7.3.1" }, "jupyter-core": { @@ -1040,6 +1046,7 @@ "sha256:c2909b9bc7dca75560a6c5ae78c34fd305ede31cd864da3c0d0bb2ed89aa9337" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==4.11.2" }, "jupyterlab-pygments": { @@ -1259,6 +1266,7 @@ "sha256:fc7b548b17d238737688817ab67deebb30e8073c95749d55538ed473130ec0c7" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==2.1.1" }, "matplotlib": { @@ -1312,6 +1320,7 @@ "sha256:fe184b4625b4052fa88ef350b815559dd90cc6cc8e97b62f966e1ca84074aafa" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==3.7.5" }, "matplotlib-inline": { @@ -1533,6 +1542,7 @@ "sha256:f7acacdf9fd4260702f360c00952ad9a9cc73e8b7475e0d0c973c085a3dd7b7d" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==8.3.0" }, "nbclient": { @@ -1541,6 +1551,7 @@ "sha256:b80726fc1fb89a0e8f8be1e77e28d0026b1e8ed90bc143c8a0c7622e4f8cdd9e" ], "index": "pypi", + "markers": "python_full_version >= '3.7.0'", "version": "==0.6.3" }, "nbconvert": { @@ -1549,6 +1560,7 @@ "sha256:8cc353e3e6a37cf9d8363997b9470fa0de5adda84063ed65a43d4d3de1bf37a9" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==7.1.0" }, "nbformat": { @@ -1557,6 +1569,7 @@ "sha256:44ba5ca6acb80c5d5a500f1e5b83ede8cbe364d5a495c4c8cf60aaf1ba656501" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==5.4.0" }, "nest-asyncio": { @@ -1599,6 +1612,7 @@ "sha256:f21c442fdd2805e91799fbe044a7b999b8571bb0ab0f7850d0cb9641a687092b" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==1.24.3" }, "nvidia-ml-py": { @@ -1722,6 +1736,7 @@ "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==2.0.3" }, "pandocfilters": { @@ -1738,6 +1753,7 @@ "sha256:be12d2728989c0ae17b42fcb05b623500004e94b34f56bd153355ccebb84a59a" ], "index": "pypi", + "markers": "python_version >= '3.6'", "version": "==2.3.4" }, "paramiko": { @@ -1879,6 +1895,7 @@ "sha256:bf901c805d22032cfa534b2ff7c5aa6b0659e037f19ec1e0cca7f585918b5c89" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==5.20.0" }, "prometheus-client": { @@ -1894,6 +1911,7 @@ "sha256:d8916d3f62a7b67ab353a952ce4ced6a1d2587dfe9ef8ebc30dd7c386751f289" ], "index": "pypi", + "markers": "python_full_version >= '3.6.2'", "version": "==3.0.30" }, "proto-plus": { @@ -1961,6 +1979,7 @@ "sha256:898a29f49ac9c903d554f5a6cdc44a8fc564325557c18f82e51f39c1f4fc2aeb" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==3.1.20" }, "ptyprocess": { @@ -2100,6 +2119,7 @@ "sha256:f434160fb14b353caf634149baaf847206406471ba70e64657c1e8330277a991", "sha256:fa43f362b46741df8f201bf3e7dff3569fa92069bcc7b4a740dea3602e27ab7a" ], + "markers": "python_version >= '3.7'", "version": "==1.10.17" }, "pygments": { @@ -2196,6 +2216,7 @@ "sha256:ff7d1f449fcad23d9bc8e8dc2b9972be38bcd76d99ea5f7d29b2efa929c2a7ff" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==4.6.3" }, "pynacl": { @@ -2249,6 +2270,7 @@ "sha256:f8488c3818f12207650836c5c6f7352f9ff9f56a05a05512145995e497c0bbb1" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==5.1.0" }, "pyparsing": { @@ -2271,7 +2293,7 @@ "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==2.9.0.post0" }, "pytz": { @@ -2416,6 +2438,7 @@ "sha256:fa0ae3275ef706c0309556061185dd0e4c4cd3b7d6f67ae617e4e677c7a41e2e" ], "index": "pypi", + "markers": "python_version >= '3.6'", "version": "==24.0.1" }, "ray": { @@ -2465,6 +2488,7 @@ "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==2.31.0" }, "requests-oauthlib": { @@ -2480,7 +2504,7 @@ "sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e", "sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0" ], - "markers": "python_full_version >= '3.6.3' and python_version < '4.0'", + "markers": "python_full_version >= '3.6.3' and python_full_version < '4.0.0'", "version": "==12.6.0" }, "rpds-py": { @@ -2597,7 +2621,7 @@ "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7", "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21" ], - "markers": "python_version >= '3.6' and python_version < '4.0'", + "markers": "python_version >= '3.6' and python_version < '4'", "version": "==4.9" }, "scikit-learn": { @@ -2630,6 +2654,7 @@ "sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==1.3.2" }, "scipy": { @@ -2657,14 +2682,23 @@ "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1" ], "index": "pypi", + "markers": "python_version < '3.12' and python_version >= '3.8'", "version": "==1.10.1" }, + "setuptools": { + "hashes": [ + "sha256:5a03e1860cf56bb6ef48ce186b0e557fdba433237481a9a625176c2831be15d1", + "sha256:8d243eff56d095e5817f796ede6ae32941278f542e0f941867cc05ae52b162ec" + ], + "markers": "python_version >= '3.8'", + "version": "==72.1.0" + }, "six": { "hashes": [ "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926", "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==1.16.0" }, "skl2onnx": { @@ -2707,17 +2741,18 @@ }, "tenacity": { "hashes": [ - "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78", - "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687" + "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b", + "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539" ], "markers": "python_version >= '3.8'", - "version": "==8.5.0" + "version": "==9.0.0" }, "tensorboard": { "hashes": [ "sha256:ab69961ebddbddc83f5fa2ff9233572bdad5b883778c35e4fe94bf1798bd8481" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==2.13.0" }, "tensorboard-data-server": { @@ -2753,6 +2788,7 @@ "sha256:fbb68c8ea407f515393ef50bd8ccbbc01914cc76f39e2ca18c238a3189230f71" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==2.13.1" }, "tensorflow-estimator": { @@ -2840,6 +2876,7 @@ "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe" ], "index": "pypi", + "markers": "python_version >= '3.8'", "version": "==6.3.3" }, "tqdm": { @@ -2856,6 +2893,7 @@ "sha256:2d313cc50a42cd6c277e7d7dc8d4d7fedd06a2c215f78766ae7b1a66277e0033" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==5.1.1" }, "typing-extensions": { @@ -2863,7 +2901,7 @@ "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb", "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4" ], - "markers": "python_version < '3.9'", + "markers": "python_version >= '3.7'", "version": "==4.5.0" }, "typing-inspect": { @@ -2887,6 +2925,7 @@ "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0" ], "index": "pypi", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'", "version": "==1.26.18" }, "virtualenv": { @@ -3119,7 +3158,7 @@ "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19", "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c" ], - "markers": "python_version < '3.10'", + "markers": "python_version >= '3.8'", "version": "==3.19.2" } }, diff --git a/runtimes/tensorflow/ubi9-python-3.9/Pipfile b/runtimes/tensorflow/ubi9-python-3.9/Pipfile index dc9d94330..f4e0d021e 100644 --- a/runtimes/tensorflow/ubi9-python-3.9/Pipfile +++ b/runtimes/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 = "~=0.16.4" +codeflare-sdk = "~=0.18.0" memray = "~=1.10.0" # any version above this would cause issue with rich package # DB connectors pymongo = "~=4.6.2" diff --git a/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock b/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock index 10fd68b15..956ad369e 100644 --- a/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock +++ b/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "bc77845837ca116f3a410a7ecd020134280d7bcbd31a3f78cc49cfceb9995bac" + "sha256": "c57c77c757ff6b1e3b37873765b11e98487ab4f02d549cf0035076644253bc92" }, "pipfile-spec": 6, "requires": { @@ -21,7 +21,7 @@ "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308", "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==2.1.0" }, "aiohttp": { @@ -117,7 +117,7 @@ "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc", "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==1.3.1" }, "ansiwrap": { @@ -154,7 +154,7 @@ "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30", "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==23.2.0" }, "backcall": { @@ -194,7 +194,7 @@ "sha256:cf69eaf5185fd58f268f805b505ce31f9b9fc2d64b376642164e9244540c1221", "sha256:f4f4acf526fcd1c34e7ce851147deedd4e26e6402369304220250598b26448db" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==4.2.0" }, "beautifulsoup4": { @@ -215,26 +215,26 @@ }, "boto3": { "hashes": [ - "sha256:11edeeacdd517bda3b7615b754d8440820cdc9ddd66794cc995a9693ddeaa3be", - "sha256:f4e6489ba9dc7fb37d53e0e82dbc97f2cb0a4969ef3970e2c88b8f94023ae81a" + "sha256:894b222f7850b870a7ac63d7e378ac36c5c34375da24ddc30e131d9fafe369dc", + "sha256:ad648c89a4935590a69341e5430fc42a021489a22de171ee3fd7bb204f9ef0fa" ], "index": "pypi", - "version": "==1.34.149" + "version": "==1.34.150" }, "botocore": { "hashes": [ - "sha256:2e1eb5ef40102a3d796bb3dd05f2ac5e8fb43fe1ff114b4f6d33153437f5a372", - "sha256:ae6c4be52eeee96f68c116b27d252bab069cd046d61a17cfe8e9da411cf22906" + "sha256:4d23387e0f076d87b637a2a35c0ff2b8daca16eace36b63ce27f65630c6b375a", + "sha256:b988d47f4d502df85befce11a48002421e4e6ea4289997b5e0261bac5fa76ce6" ], "markers": "python_version >= '3.8'", - "version": "==1.34.149" + "version": "==1.34.150" }, "cachetools": { "hashes": [ "sha256:3ae3b49a3d5e28a77a0be2b37dbcb89005058959cb2323858c2657c4a8cab474", "sha256:b8adc2e7c07f105ced7bc56dbb6dfbe7c4a00acce20e2227b3f355be89bc6827" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==5.4.0" }, "certifi": { @@ -396,7 +396,7 @@ "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519", "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==3.3.2" }, "click": { @@ -404,16 +404,16 @@ "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28", "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==8.1.7" }, "codeflare-sdk": { "hashes": [ - "sha256:3b9d8785e19a897ef803f8d0dce897df2f1ff4389757edd45f8077eba0b45b5c", - "sha256:4ca0c2dcf7a085083fa8464a5e1d36a350387242566a3cd404609cbc50cee5a0" + "sha256:45dc76b9e6372490a8275418d3a27609ca33b63cb2141b84c926db373a6594c8", + "sha256:e4fe929cde1ed102b82a718d336fdc5be38c4202590fee54b62946d3c4f3b17a" ], "index": "pypi", - "version": "==0.16.4" + "version": "==0.18.0" }, "colorful": { "hashes": [ @@ -775,7 +775,7 @@ "sha256:49315be72c55a6a37d62819e3573f6b416aca00721f7e3e31a008d928bf64022", "sha256:53326ea2ebec768070a94bee4e1b9194c9646ea0c2bd72422785bd0f9abfad7b" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==2.32.0" }, "google-auth-oauthlib": { @@ -799,7 +799,7 @@ "sha256:27a2499c7e8aff199665b22741997e485eccc8645aa9176c7c988e6fae507945", "sha256:27c5abdffc4911f28101e635de1533fb4cfd2c37fbaa9174587c799fac90aa87" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==1.63.2" }, "grpcio": { @@ -851,6 +851,7 @@ "sha256:f62652ddcadc75d0e7aa629e96bb61658f85a993e748333715b4ab667192e4e8", "sha256:ff5a84907e51924973aa05ed8759210d8cdae7ffcf9e44fd17646cf4a902df59" ], + "markers": "python_version >= '3.8'", "version": "==1.65.1" }, "h5py": { @@ -893,7 +894,7 @@ "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369", "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d" ], - "markers": "python_version < '3.10' and python_version < '3.10'", + "markers": "python_version < '3.10'", "version": "==8.2.0" }, "importlib-resources": { @@ -933,7 +934,7 @@ "sha256:bbe43850d79fb5e906b14801d6c01402857996864d1e5b6fa62dd2ee35559f60", "sha256:d0b9b41e49bae926a866e613a39b0f0097745d2b9f1f3dd406641b4a57ec42c9" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==8.1.2" }, "jedi": { @@ -957,7 +958,7 @@ "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980", "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==1.0.1" }, "joblib": { @@ -1013,7 +1014,7 @@ "sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0", "sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==3.0.11" }, "kafka-python": { @@ -1139,7 +1140,7 @@ "sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892", "sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==1.4.5" }, "kubernetes": { @@ -1495,7 +1496,7 @@ "sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423", "sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==6.0.5" }, "mysql-connector-python": { @@ -1893,7 +1894,7 @@ "sha256:30b72a5ecafe4406b0d339db35b56c4059064e69227b8c3bda7462397f966445", "sha256:402576830425e5f6ce4c2a6702400ac79897dab0b4343821aa5188b0fab81a12" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==1.24.0" }, "protobuf": { @@ -1921,7 +1922,7 @@ "sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99", "sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee" ], - "markers": "python_full_version >= '3.7.0'", + "markers": "python_version >= '3.7'", "version": "==3.20.3" }, "psutil": { @@ -2092,6 +2093,7 @@ "sha256:f434160fb14b353caf634149baaf847206406471ba70e64657c1e8330277a991", "sha256:fa43f362b46741df8f201bf3e7dff3569fa92069bcc7b4a740dea3602e27ab7a" ], + "markers": "python_version >= '3.7'", "version": "==1.10.17" }, "pygments": { @@ -2256,7 +2258,7 @@ "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427" ], - "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'", + "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'", "version": "==2.9.0.post0" }, "pytz": { @@ -2409,24 +2411,18 @@ "default" ], "hashes": [ - "sha256:1de0810f77ae4a0bf055aa2bdcb161be1d6d1b67b4095e85a5b3fbb6e0dadcd2", - "sha256:2c7f8cd468cbba009d7ebd8a8da66026aeb520f7f4183dd6f49419d75bc84415", - "sha256:3f3519dd7794ead4d3e17d4570593b2a10e8db062836907517e85b4e769dec1a", - "sha256:5a2cb9f100bbb6351372519b03ddc21d9fa6c8716621237273a59a6e250a8204", - "sha256:611d34d0c659652a38ef482a82dfc362074984617765e1d5a414337e4f914cfd", - "sha256:64b394a6462a2ac2401b1b004f2cc7ac31e429388abf27024072a55702f1159c", - "sha256:65938f7bd28a825d90c643465ad6b1334d97d16e381c409b19269e4dcc043341", - "sha256:6ac1dcb303ddf53d2d87bc5b719e8c38f0a5efe41e175b6ba563fb65b5f4e9a2", - "sha256:738c68f4114754f846b3d03b730b42a6468f8b54665732da9f9108aa1d3ecbe3", - "sha256:8855a5df8b3e6b8bcb5582a8491c50d0237e70751f941e8978bd6408245b7838", - 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