From 0ddc535cfdeb76c4744130eac09472c5bffc6d81 Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Mon, 13 Jul 2026 13:17:10 -0700 Subject: [PATCH 01/12] sklearn: add 1.9.0 image (AL2023 + Python 3.12) --- .../config/image/sklearn/sagemaker-1.9-0.yml | 31 + .github/workflows/sklearn.pr-1.9-0.yml | 106 +++ docker/sklearn/1.9-0/Dockerfile | 132 +++ docker/sklearn/1.9-0/pyproject.toml | 27 + docker/sklearn/1.9-0/uv.lock | 800 ++++++++++++++++++ .../sklearn/framework_allowlist.json | 1 + .../sklearn/sklearn-1.9.0.json | 1 + 7 files changed, 1098 insertions(+) create mode 100644 .github/config/image/sklearn/sagemaker-1.9-0.yml create mode 100644 .github/workflows/sklearn.pr-1.9-0.yml create mode 100644 docker/sklearn/1.9-0/Dockerfile create mode 100644 docker/sklearn/1.9-0/pyproject.toml create mode 100644 docker/sklearn/1.9-0/uv.lock create mode 100644 test/security/data/ecr_scan_allowlist/sklearn/framework_allowlist.json create mode 100644 test/security/data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json diff --git a/.github/config/image/sklearn/sagemaker-1.9-0.yml b/.github/config/image/sklearn/sagemaker-1.9-0.yml new file mode 100644 index 000000000000..f59692ee4d65 --- /dev/null +++ b/.github/config/image/sklearn/sagemaker-1.9-0.yml @@ -0,0 +1,31 @@ +image: + name: "sagemaker-scikit-learn" + description: "SageMaker Scikit-learn 1.9.0" + +metadata: + framework: "sklearn" + framework_version: "1.9.0" + os_version: "amzn2023" + customer_type: "sagemaker" + platform: "sagemaker" + arch_type: "x86" + device_type: "cpu" + job_type: "general" + prod_image: "sagemaker-scikit-learn:1.9-0-cpu-py3" + +build: + dockerfile: "docker/sklearn/1.9-0/Dockerfile" + target: "sklearn-sagemaker" + base_image: "amazonlinux:2023" + python_version: "3.12" + # Temporary — points at branch on upstream master repo for testing. + # Flip to "master" once upstream PR merges + before merging this DLC PR. + sklearn_container_branch: "feat/upgrade-sklearn-1.9" + +release: + release: false + force_release: false + public_registry: false + private_registry: true + enable_soci: false + environment: "production" diff --git a/.github/workflows/sklearn.pr-1.9-0.yml b/.github/workflows/sklearn.pr-1.9-0.yml new file mode 100644 index 000000000000..425114664b87 --- /dev/null +++ b/.github/workflows/sklearn.pr-1.9-0.yml @@ -0,0 +1,106 @@ +name: "PR - Scikit-learn 1.9.0" + +on: + workflow_dispatch: + pull_request: + branches: [main] + types: [opened, reopened, synchronize] + paths: + - ".github/config/image/sklearn/sagemaker-1.9-0.yml" + - ".github/workflows/sklearn.pipeline.yml" + - ".github/workflows/sklearn.pr-1.9-0.yml" + - ".github/workflows/sklearn.tests-unit.yml" + - ".github/workflows/sklearn.tests-integ-local.yml" + - ".github/workflows/sklearn.tests-sagemaker.yml" + - "docker/sklearn/1.9-0/**" + - "docker/sklearn/resources/**" + - "scripts/ci/build/sklearn/**" + - "scripts/docker/common/**" + - "scripts/docker/telemetry/**" + - "test/sanity/**" + - "test/security/data/ecr_scan_allowlist/sklearn/**" + - "test/sklearn/**" + - "test/telemetry/**" + - "!docs/**" + +permissions: + contents: read + pull-requests: read + +jobs: + gatekeeper: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v6 + with: + ref: ${{ github.event.pull_request.base.sha }} + fetch-depth: 1 + - uses: ./.github/actions/pr-permission-gate + + check-changes: + needs: [gatekeeper] + runs-on: ubuntu-latest + outputs: + build-change: ${{ steps.changes.outputs.build-change }} + integ-test-change: ${{ steps.changes.outputs.integ-test-change }} + sagemaker-test-change: ${{ steps.changes.outputs.sagemaker-test-change }} + sanity-test-change: ${{ steps.changes.outputs.sanity-test-change }} + telemetry-test-change: ${{ steps.changes.outputs.telemetry-test-change }} + unit-test-change: ${{ steps.changes.outputs.unit-test-change }} + steps: + - uses: actions/checkout@v6 + - uses: dorny/paths-filter@v4 + id: changes + with: + filters: | + build-change: + - ".github/config/image/sklearn/sagemaker-1.9-0.yml" + - "docker/sklearn/1.9-0/**" + - "docker/sklearn/resources/**" + - "scripts/ci/build/sklearn/**" + - "scripts/docker/common/**" + - "scripts/docker/telemetry/**" + - "test/security/data/ecr_scan_allowlist/sklearn/**" + integ-test-change: + - "test/sklearn/**" + sagemaker-test-change: + - "test/sklearn/sagemaker/**" + - ".github/workflows/sklearn.tests-sagemaker.yml" + sanity-test-change: + - "test/sanity/**" + telemetry-test-change: + - "test/telemetry/**" + unit-test-change: + - "docker/sklearn/1.9-0/**" + + discover: + needs: [gatekeeper] + runs-on: ubuntu-latest + outputs: + configs: ${{ steps.discover.outputs.configs }} + steps: + - uses: actions/checkout@v6 + - id: discover + uses: ./.github/actions/discover-configs + with: + pattern: ".github/config/image/sklearn/sagemaker-1.9-0.yml" + + pipeline: + needs: [check-changes, discover] + strategy: + fail-fast: false + matrix: + include: ${{ fromJson(needs.discover.outputs.configs) }} + uses: ./.github/workflows/sklearn.pipeline.yml + with: + config-file: ${{ matrix.config_file }} + tag-suffix: pr-${{ github.event.pull_request.number }} + build: ${{ needs.check-changes.outputs.build-change == 'true' }} + run-integ-test: ${{ needs.check-changes.outputs.build-change == 'true' || needs.check-changes.outputs.integ-test-change == 'true' }} + run-sagemaker-test: ${{ needs.check-changes.outputs.build-change == 'true' || needs.check-changes.outputs.sagemaker-test-change == 'true' }} + run-sanity-test: ${{ needs.check-changes.outputs.build-change == 'true' || needs.check-changes.outputs.sanity-test-change == 'true' }} + run-security-test: ${{ needs.check-changes.outputs.build-change == 'true' }} + run-telemetry-test: false + run-unit-test: ${{ needs.check-changes.outputs.build-change == 'true' || needs.check-changes.outputs.unit-test-change == 'true' }} + release: false + secrets: inherit diff --git a/docker/sklearn/1.9-0/Dockerfile b/docker/sklearn/1.9-0/Dockerfile new file mode 100644 index 000000000000..2b844f2825a6 --- /dev/null +++ b/docker/sklearn/1.9-0/Dockerfile @@ -0,0 +1,132 @@ +# ============================================================================ +# Scikit-learn DLC — Amazon Linux 2023 / Python 3.12 (CPU) +# Multi-stage build: +# +# builder-base ──── (venv + uv deps) +# wheel-builder ─── (holds pre-built sagemaker_sklearn_container wheel) +# sklearn-sagemaker (runtime with SageMaker serving layer) +# +# ============================================================================ + +# ── Global ARGs ───────────────────────────────────────────────────────────── +ARG PYTHON_VERSION=3.12 + +# ── Stage: builder-base ───────────────────────────────────────────────────── +FROM amazonlinux:2023 AS builder-base +ARG PYTHON_VERSION + +RUN dnf install -y --allowerasing \ + python${PYTHON_VERSION} python${PYTHON_VERSION}-devel python${PYTHON_VERSION}-pip \ + gcc gcc-c++ make cmake git openssl-devel ninja-build \ + tar xz curl wget \ + && dnf clean all + +COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv + +ENV UV_PROJECT_ENVIRONMENT="/opt/venv" +RUN python${PYTHON_VERSION} -m venv /opt/venv +ENV PATH="/opt/venv/bin:${PATH}" + +COPY docker/sklearn/1.9-0/pyproject.toml docker/sklearn/1.9-0/uv.lock /tmp/build/ +WORKDIR /tmp/build +RUN --mount=type=cache,target=/root/.cache/uv uv sync --frozen --no-dev --no-install-project + +# ── Stage: wheel-builder ─────────────────────────────────────────────────── +# Wheel is pre-built in CI and placed at docker/sklearn/1.9-0/prebuilt.whl +FROM scratch AS wheel-builder +COPY docker/sklearn/1.9-0/prebuilt.whl /build/dist/sagemaker_sklearn_container-2.0-py3-none-any.whl + +# ── Stage: sklearn-sagemaker ─────────────────────────────────────────────── +FROM amazonlinux:2023 AS sklearn-sagemaker + +ARG PYTHON_VERSION +ARG FRAMEWORK +ARG FRAMEWORK_VERSION +ARG CONTAINER_TYPE + +LABEL maintainer="Amazon AI" +LABEL dlc_major_version="1" + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + PYTHONIOENCODING=utf-8 \ + LANG=C.UTF-8 \ + LC_ALL=C.UTF-8 + +# System dependencies +RUN dnf update -y && dnf install -y --allowerasing \ + python${PYTHON_VERSION} python${PYTHON_VERSION}-devel \ + gcc gcc-c++ make git curl wget tar gzip unzip jq \ + java-11-amazon-corretto-headless \ + nginx expat libxml2 glib2 libffi zlib zstd \ + openssl-devel libcurl-devel \ + shadow-utils \ + && dnf clean all + +# Copy venv from builder +COPY --from=builder-base /opt/venv /opt/venv +ENV PATH="/opt/venv/bin:${PATH}" + +# Telemetry +COPY ./scripts/docker/telemetry/deep_learning_container.py /usr/local/bin/deep_learning_container.py +COPY ./scripts/docker/telemetry/bash_telemetry.sh.template /tmp/bash_telemetry.sh.template +COPY ./scripts/docker/common/setup_oss_compliance.sh setup_oss_compliance.sh +RUN chmod +x /usr/local/bin/deep_learning_container.py \ + && sed -e "s/{{FRAMEWORK}}/${FRAMEWORK}/g" \ + -e "s/{{FRAMEWORK_VERSION}}/${FRAMEWORK_VERSION}/g" \ + -e "s/{{CONTAINER_TYPE}}/${CONTAINER_TYPE}/g" \ + /tmp/bash_telemetry.sh.template >/usr/local/bin/bash_telemetry.sh \ + && chmod +x /usr/local/bin/bash_telemetry.sh \ + && rm /tmp/bash_telemetry.sh.template \ + && echo 'source /usr/local/bin/bash_telemetry.sh' >>/etc/bash.bashrc \ + && bash setup_oss_compliance.sh python${PYTHON_VERSION} && rm setup_oss_compliance.sh \ + && rm -rf /root/oss_compliance* \ + && rm -rf /tmp/tmp* + +# Remove build-time packages to reduce CVE surface +RUN dnf remove -y kernel-headers gcc gcc-c++ make cpp || true \ + && dnf upgrade -y --security --releasever latest \ + && dnf clean all + +# Patch sagemaker-inference decoder.py (CWE-502 fix) +COPY docker/sklearn/resources/patches/decoder.py /opt/venv/lib64/python${PYTHON_VERSION}/site-packages/sagemaker_inference/decoder.py + +# Patch collections.Mapping deprecation in sagemaker-containers +RUN sed -i 's/collections\.Mapping/collections.abc.Mapping/g' \ + /opt/venv/lib64/python${PYTHON_VERSION}/site-packages/sagemaker_containers/_mapping.py + +# Install sagemaker_sklearn_container wheel +COPY --from=wheel-builder /build/dist/sagemaker_sklearn_container-2.0-py3-none-any.whl /tmp/ +RUN pip install --no-cache --no-deps /tmp/sagemaker_sklearn_container-2.0-py3-none-any.whl \ + && rm /tmp/sagemaker_sklearn_container-2.0-py3-none-any.whl + +# MMS setup +RUN useradd -m model-server \ + && mkdir -p /home/model-server/tmp && chown -R model-server /home/model-server +COPY docker/sklearn/resources/mms/config.properties.tmp /home/model-server +ENV SKLEARN_MMS_CONFIG=/home/model-server/config.properties +RUN mkdir -p /tmp/plugins +COPY docker/sklearn/resources/mms/endpoints-1.0.jar /tmp/plugins +RUN chmod +x /tmp/plugins/endpoints-1.0.jar + +# Model directory +RUN mkdir -p /opt/ml/models && chmod +rwx /opt/ml/models + +# Drop temp dirs left by pip installs (sanity check requires clean /tmp) +RUN rm -rf /tmp/tmp* /tmp/pip-* + +# Labels +LABEL com.amazonaws.sagemaker.capabilities.multi-models=true +LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true + +# SageMaker environment +ENV SM_INPUT=/opt/ml/input \ + SM_INPUT_TRAINING_CONFIG_FILE=/opt/ml/input/config/hyperparameters.json \ + SM_INPUT_DATA_CONFIG_FILE=/opt/ml/input/config/inputdataconfig.json \ + SM_CHECKPOINT_CONFIG_FILE=/opt/ml/input/config/checkpointconfig.json \ + SM_MODEL_DIR=/opt/ml/model \ + SAGEMAKER_TRAINING_MODULE=sagemaker_sklearn_container.training:main \ + SAGEMAKER_SERVING_MODULE=sagemaker_sklearn_container.serving:main \ + TEMP=/home/model-server/tmp + +EXPOSE 8080 \ No newline at end of file diff --git a/docker/sklearn/1.9-0/pyproject.toml b/docker/sklearn/1.9-0/pyproject.toml new file mode 100644 index 000000000000..9e7867b2257a --- /dev/null +++ b/docker/sklearn/1.9-0/pyproject.toml @@ -0,0 +1,27 @@ +[project] +name = "sklearn-dlc" +version = "1.9.0" +requires-python = ">=3.12,<3.13" +dependencies = [ + "scikit-learn==1.9.0", + 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b/test/security/data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json index fe51488c7066..bd5f71575a66 100644 --- a/test/security/data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json +++ b/test/security/data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json @@ -1 +1,6 @@ -[] +[ + { + "vulnerability_id": "CVE-2026-0994", + "reason": "protobuf pinned to 3.20.x — required by sagemaker-containers record_pb2 (generated with protoc <3.19; incompatible with protobuf >=3.21 runtime). CVE is DoS on ParseDict which is not on the serving path. Matches xgboost 3.2 handling." + } +] From 0d0d03b64dcb11f9cd9ab679ff86b80212a5b783 Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Mon, 13 Jul 2026 15:55:30 -0700 Subject: [PATCH 05/12] sklearn: install which + downgrade to Java 8 for MMS compat --- docker/sklearn/1.9-0/Dockerfile | 4 ++-- .../data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docker/sklearn/1.9-0/Dockerfile b/docker/sklearn/1.9-0/Dockerfile index 2b844f2825a6..331a1e613615 100644 --- a/docker/sklearn/1.9-0/Dockerfile +++ b/docker/sklearn/1.9-0/Dockerfile @@ -56,8 +56,8 @@ ENV PYTHONDONTWRITEBYTECODE=1 \ # System dependencies RUN dnf update -y && dnf install -y --allowerasing \ python${PYTHON_VERSION} python${PYTHON_VERSION}-devel \ - gcc gcc-c++ make git curl wget tar gzip unzip jq \ - java-11-amazon-corretto-headless \ + gcc gcc-c++ make git curl wget tar gzip unzip jq which \ + java-1.8.0-amazon-corretto-headless \ nginx expat libxml2 glib2 libffi zlib zstd \ openssl-devel libcurl-devel \ shadow-utils \ diff --git a/test/security/data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json b/test/security/data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json index bd5f71575a66..3199f352e382 100644 --- a/test/security/data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json +++ b/test/security/data/ecr_scan_allowlist/sklearn/sklearn-1.9.0.json @@ -1,6 +1,6 @@ [ { "vulnerability_id": "CVE-2026-0994", - "reason": "protobuf pinned to 3.20.x — required by sagemaker-containers record_pb2 (generated with protoc <3.19; incompatible with protobuf >=3.21 runtime). CVE is DoS on ParseDict which is not on the serving path. Matches xgboost 3.2 handling." + "reason": "protobuf pinned to 3.20.x — required by sagemaker-containers record_pb2 (generated with protoc <3.19; incompatible with protobuf >=3.21 runtime). CVE is DoS on ParseDict which is not on the serving path." } ] From ecf916d52ba0c1b37437cce3e4baaf03a26e9425 Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Mon, 13 Jul 2026 16:09:53 -0700 Subject: [PATCH 06/12] sklearn: fix corretto 8 package name --- docker/sklearn/1.9-0/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/sklearn/1.9-0/Dockerfile b/docker/sklearn/1.9-0/Dockerfile index 331a1e613615..88fcf0c32401 100644 --- a/docker/sklearn/1.9-0/Dockerfile +++ b/docker/sklearn/1.9-0/Dockerfile @@ -57,7 +57,7 @@ ENV PYTHONDONTWRITEBYTECODE=1 \ RUN dnf update -y && dnf install -y --allowerasing \ python${PYTHON_VERSION} python${PYTHON_VERSION}-devel \ gcc gcc-c++ make git curl wget tar gzip unzip jq which \ - java-1.8.0-amazon-corretto-headless \ + java-1.8.0-amazon-corretto \ nginx expat libxml2 glib2 libffi zlib zstd \ openssl-devel libcurl-devel \ shadow-utils \ From 536182e1b6bb257eaa108b17db8cc7a6c94323cc Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Mon, 13 Jul 2026 20:09:20 -0700 Subject: [PATCH 07/12] sklearn: version-slug fixtures + tighten mme assertion + pyproject check_versions --- .../workflows/sklearn.tests-integ-local.yml | 18 ++-- test/sklearn/sagemaker/test_inference_mme.py | 55 ++++++++++-- .../sagemaker/test_network_isolation.py | 16 ++-- test/sklearn/scripts/check_versions.py | 69 +++++++++++++-- test/sklearn/scripts/regen_mme_fixtures.py | 85 +++++++++++++++++++ 5 files changed, 215 insertions(+), 28 deletions(-) create mode 100644 test/sklearn/scripts/regen_mme_fixtures.py diff --git a/.github/workflows/sklearn.tests-integ-local.yml b/.github/workflows/sklearn.tests-integ-local.yml index 0947a75a86f5..a66a69055fe1 100644 --- a/.github/workflows/sklearn.tests-integ-local.yml +++ b/.github/workflows/sklearn.tests-integ-local.yml @@ -63,23 +63,29 @@ jobs: echo "python-version=$(yq '.build.python_version' "$CONFIG_FILE")" >> $GITHUB_OUTPUT echo "dockerfile=$(yq '.build.dockerfile' "$CONFIG_FILE")" >> $GITHUB_OUTPUT - - name: Verify pinned package versions match declared requirements.txt + - name: Verify pinned package versions match declared deps file if: steps.check.outputs.exists == 'true' env: IMAGE_URI: ${{ steps.image.outputs.image-uri }} DOCKERFILE: ${{ steps.config.outputs.dockerfile }} run: | - REQS_FILE="$(dirname "$DOCKERFILE")/requirements.txt" - if [[ ! -f "$REQS_FILE" ]]; then - echo "No requirements.txt at $REQS_FILE — skipping version check" + DEPS_DIR="$(dirname "$DOCKERFILE")" + if [[ -f "$DEPS_DIR/requirements.txt" ]]; then + DEPS_FILE="$DEPS_DIR/requirements.txt" + MOUNT_NAME="requirements.txt" + elif [[ -f "$DEPS_DIR/pyproject.toml" ]]; then + DEPS_FILE="$DEPS_DIR/pyproject.toml" + MOUNT_NAME="pyproject.toml" + else + echo "No requirements.txt or pyproject.toml at $DEPS_DIR — skipping version check" exit 0 fi docker run --rm \ - -v "$PWD/$REQS_FILE:/tmp/requirements.txt:ro" \ + -v "$PWD/$DEPS_FILE:/tmp/$MOUNT_NAME:ro" \ -v "$PWD/test/sklearn/scripts/check_versions.py:/tmp/check_versions.py:ro" \ --entrypoint python3 \ "$IMAGE_URI" \ - /tmp/check_versions.py /tmp/requirements.txt + /tmp/check_versions.py "/tmp/$MOUNT_NAME" - name: Clone sagemaker-scikit-learn-container (tests + source) if: steps.check.outputs.exists == 'true' diff --git a/test/sklearn/sagemaker/test_inference_mme.py b/test/sklearn/sagemaker/test_inference_mme.py index b3fc87a70bed..13edb892d950 100644 --- a/test/sklearn/sagemaker/test_inference_mme.py +++ b/test/sklearn/sagemaker/test_inference_mme.py @@ -3,6 +3,8 @@ CSV payload. """ +import math + import pytest from .conftest import ( @@ -13,12 +15,25 @@ predict_and_log, ) +# Model tarballs live under a version-slugged prefix so 1.4.2 and 1.9.0 fixtures +# stay isolated (pickle format can drift across sklearn versions). # MME lazy-loads only the tarball named in `target_model`, so the sibling # `code/user_code.tar.gz` under this prefix is never invoked as a model. -MME_MODEL_PREFIX = "mme_models/" -MME_TARGET_MODELS = ["sklearn_1_model_0.tar.gz", "sklearn_1_model_1.tar.gz"] +MME_TARGET_MODELS = ["mme_model_0.tar.gz", "mme_model_1.tar.gz"] MME_CODE_KEY = "mme_models/code/user_code.tar.gz" +# Baseline predictions on SAMPLE_PAYLOAD keyed by sklearn version, matching +# fixtures at s3://amazonai-algorithms-integration-tests/input/scikit-learn/mme_models//. +# Compared with math.isclose(rel_tol=1e-6) — not byte-exact. Regenerate with +# test/sklearn/scripts/regen_mme_fixtures.py and add a new entry per sklearn +# version — do not overwrite existing entries. +BASELINE_PREDICTIONS = { + "1.9.0": { + "mme_model_0.tar.gz": [0.4714299835128364, 0.35936579802301344], + "mme_model_1.tar.gz": [0.5477832620234803, 0.35375510160817975], + }, +} + # Fitted models have n_features_in_ = 6. Multi-row CSV exercises batch predict. SAMPLE_PAYLOAD = "\n".join( [ @@ -36,32 +51,56 @@ def mme_env(): } +def _parse_csv_response(response): + """Parse MMS CSV response (bytes or str) into a list of floats.""" + text = response.decode() if isinstance(response, bytes) else response + return [float(x) for x in text.strip().splitlines() if x.strip()] + + +def _assert_predictions(actual, target_model, sklearn_version): + """Compare endpoint response to known-good predictions for the given + sklearn version. Falls back to smoke assertion for versions without a + baseline (e.g. legacy 1.4.2 fixtures that pre-date regen_mme_fixtures.py). + """ + version_predictions = BASELINE_PREDICTIONS.get(sklearn_version) + if version_predictions is None: + assert actual is not None + return + expected = version_predictions[target_model] + parsed = _parse_csv_response(actual) + assert len(parsed) == len(expected), f"{target_model}: got {parsed}, expected {expected}" + for p, e in zip(parsed, expected): + assert math.isclose(p, e, rel_tol=1e-6), f"{target_model}: predicted {p} != expected {e}" + + class TestInferenceMME: - def test_csv_single_model(self, image_uri, role, mme_env): + def test_csv_single_model(self, image_uri, role, mme_env, sklearn_version): + prefix = f"mme_models/{sklearn_version}/" endpoint_name = None try: predictor, endpoint_name = deploy_endpoint( image_uri=image_uri, role=role, - model_data=data_uri(f"{MME_MODEL_PREFIX}{MME_TARGET_MODELS[0]}"), + model_data=data_uri(f"{prefix}{MME_TARGET_MODELS[0]}"), env=mme_env, test_name="inference-single", ) predictor.content_type = "text/csv" predictor.accept = "text/csv" response = predict_and_log(predictor, SAMPLE_PAYLOAD) - assert response is not None + _assert_predictions(response, MME_TARGET_MODELS[0], sklearn_version) finally: if endpoint_name: delete_endpoint(endpoint_name) - def test_csv_multimodel(self, image_uri, role, mme_env): + def test_csv_multimodel(self, image_uri, role, mme_env, sklearn_version): + prefix = f"mme_models/{sklearn_version}/" endpoint_name = None try: predictor, endpoint_name, _ = deploy_multi_model_endpoint( image_uri=image_uri, role=role, - model_data_prefix=data_uri(MME_MODEL_PREFIX), + model_data_prefix=data_uri(prefix), env=mme_env, test_name="inference-mme", ) @@ -69,7 +108,7 @@ def test_csv_multimodel(self, image_uri, role, mme_env): predictor.accept = "text/csv" for target_model in MME_TARGET_MODELS: response = predict_and_log(predictor, SAMPLE_PAYLOAD, target_model=target_model) - assert response is not None + _assert_predictions(response, target_model, sklearn_version) finally: if endpoint_name: delete_endpoint(endpoint_name) diff --git a/test/sklearn/sagemaker/test_network_isolation.py b/test/sklearn/sagemaker/test_network_isolation.py index 9cce1e22b681..28686f7d2138 100644 --- a/test/sklearn/sagemaker/test_network_isolation.py +++ b/test/sklearn/sagemaker/test_network_isolation.py @@ -5,15 +5,21 @@ from .conftest import data_uri, run_training_job -CODE_TARBALL_KEY = "code/pandas-parquet-file-1.4-2.tar.gz" -CODE_TARBALL_LOCAL = "/opt/ml/input/data/code/pandas-parquet-file-1.4-2.tar.gz" + +def _tarball_slug(sklearn_version): + """Turn '1.9.0' into '1.9-0' — the naming convention used for the S3 fixture.""" + parts = sklearn_version.split(".") + return f"{parts[0]}.{parts[1]}-{parts[2]}" class TestNetworkIsolation: - def test_script_mode(self, image_uri, role): + def test_script_mode(self, image_uri, role, sklearn_version): + slug = _tarball_slug(sklearn_version) + code_tarball_key = f"code/pandas-parquet-file-{slug}.tar.gz" + code_tarball_local = f"/opt/ml/input/data/code/pandas-parquet-file-{slug}.tar.gz" hp = { "sagemaker_program": "train.py", - "sagemaker_submit_directory": CODE_TARBALL_LOCAL, + "sagemaker_submit_directory": code_tarball_local, } _, _, desc = run_training_job( image_uri=image_uri, @@ -24,6 +30,6 @@ def test_script_mode(self, image_uri, role): test_name="netiso", volume_size=20, enable_network_isolation=True, - extra_channels={"code": (data_uri(CODE_TARBALL_KEY), "text/plain")}, + extra_channels={"code": (data_uri(code_tarball_key), "text/plain")}, ) assert desc["TrainingJobStatus"] == "Completed" diff --git a/test/sklearn/scripts/check_versions.py b/test/sklearn/scripts/check_versions.py index 4541be4bc475..4cb30a41016f 100644 --- a/test/sklearn/scripts/check_versions.py +++ b/test/sklearn/scripts/check_versions.py @@ -1,27 +1,51 @@ -"""Verify installed package versions match declared specifiers in requirements.txt. +"""Verify installed package versions match declared specifiers. -Runs inside the built sklearn container. Reads a requirements.txt (copied in by -the caller), parses each entry as a PEP 508 requirement, and asserts the -installed version satisfies the declared specifier (==, >=, <, ~=, etc.). +Runs inside the built sklearn container. Accepts either a requirements.txt or a +pyproject.toml (uv-managed images). For each PEP 508 requirement (`==`, `>=`, +`<`, `~=`, etc.), asserts the installed version satisfies the declared specifier. +For pyproject.toml, also enforces `[project].requires-python` against the +running interpreter. Bare entries with no specifier (e.g. `certifi`) can't be verified — logged and skipped. Unparsable lines are logged and skipped. -Usage: python3 check_versions.py +Usage: python3 check_versions.py Exits non-zero on any drift, with a summary of what changed. """ import importlib.metadata import sys +import tomllib +from pathlib import Path from packaging.requirements import InvalidRequirement, Requirement +from packaging.specifiers import SpecifierSet from packaging.version import Version def parse_reqs(path): - reqs = [] - unparsable = [] + path = Path(path) + if path.suffix == ".toml": + return _parse_pyproject(path) + return _parse_requirements_txt(path) + + +def _parse_pyproject(path): + reqs, unparsable = [], [] + data = tomllib.loads(path.read_text()) + lines = list(data.get("project", {}).get("dependencies", [])) + lines += list(data.get("tool", {}).get("uv", {}).get("override-dependencies", [])) + for line in lines: + try: + reqs.append((Requirement(line), line)) + except InvalidRequirement: + unparsable.append(line) + return reqs, unparsable + + +def _parse_requirements_txt(path): + reqs, unparsable = [], [] with open(path) as f: for raw in f: line = raw.split("#", 1)[0].strip() @@ -34,6 +58,29 @@ def parse_reqs(path): return reqs, unparsable +def check_python_version(path): + """Enforce [project].requires-python from pyproject.toml against the + running interpreter. Returns True if satisfied (or not declared), False + if the running interpreter fails the declared spec. + """ + path = Path(path) + if path.suffix != ".toml": + return True + data = tomllib.loads(path.read_text()) + spec = data.get("project", {}).get("requires-python") + if not spec: + return True + running = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}" + if Version(running) not in SpecifierSet(spec): + print( + f"DRIFT: Python {running} does not satisfy requires-python={spec}", + file=sys.stderr, + ) + return False + print(f"Python {running} satisfies requires-python={spec}.") + return True + + def installed_version(name): for candidate in (name, name.replace("-", "_"), name.replace("_", "-")): try: @@ -44,6 +91,7 @@ def installed_version(name): def main(path): + py_ok = check_python_version(path) reqs, unparsable = parse_reqs(path) if not reqs: print(f"No requirements found in {path}", file=sys.stderr) @@ -76,7 +124,7 @@ def main(path): for line in unparsable: print(f" {line}", file=sys.stderr) - if not drift and not missing: + if not drift and not missing and py_ok: print(f"All {checked} constrained packages satisfy declared specifiers.") return @@ -89,6 +137,9 @@ def main(path): if __name__ == "__main__": if len(sys.argv) != 2: - print("usage: check_versions.py ", file=sys.stderr) + print( + "usage: check_versions.py ", + file=sys.stderr, + ) sys.exit(2) main(sys.argv[1]) diff --git a/test/sklearn/scripts/regen_mme_fixtures.py b/test/sklearn/scripts/regen_mme_fixtures.py new file mode 100644 index 000000000000..b83d3dcb4587 --- /dev/null +++ b/test/sklearn/scripts/regen_mme_fixtures.py @@ -0,0 +1,85 @@ +#!/usr/bin/env python3 +"""Regenerate MME sklearn model fixtures for a given sklearn version. + +Fits two seeded RandomForestRegressor models on synthetic data matching the +shape used in test/sklearn/sagemaker/test_inference_mme.py (6 features, 1 output). +Emits two tarballs (mme_model_0.tar.gz, mme_model_1.tar.gz) suitable for uploading to +s3://amazonai-algorithms-integration-tests/input/scikit-learn/mme_models//. + +Each tarball wraps a single joblib-serialized model at member name 'sklearn-model' +matching the layout the SageMaker sklearn container expects. + +Usage: + uv venv --python 3.12 && source .venv/bin/activate + uv pip install scikit-learn== joblib numpy + python regen_mme_fixtures.py --sklearn-version --out-dir . + +Prints the model's prediction on the CSV test payload from test_inference_mme.py +so the caller knows what the endpoint should return end-to-end. +""" + +import argparse +import tarfile +import tempfile +from pathlib import Path + +import joblib +import numpy as np +import sklearn +from sklearn.ensemble import RandomForestRegressor + +N_SAMPLES = 100 +N_FEATURES = 6 +DATA_SEED_X = 42 +DATA_SEED_Y = 43 + +# Matches SAMPLE_PAYLOAD in test_inference_mme.py — CSV with 2 rows, 6 features each. +TEST_PAYLOAD = np.array( + [ + [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], + [0.0, 2.0, 4.0, 6.0, 9.0, 3.0], + ] +) + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "--sklearn-version", + required=True, + help="Exact sklearn version to assert against sklearn.__version__ (e.g. 1.9.0)", + ) + parser.add_argument( + "--out-dir", + type=Path, + default=Path("."), + help="Directory to write mme_model_{0,1}.tar.gz (default: current dir)", + ) + args = parser.parse_args() + + if sklearn.__version__ != args.sklearn_version: + raise SystemExit( + f"Installed sklearn=={sklearn.__version__} does not match " + f"--sklearn-version={args.sklearn_version}. " + f"Install the exact version and re-run." + ) + + X = np.random.RandomState(DATA_SEED_X).rand(N_SAMPLES, N_FEATURES) + y = np.random.RandomState(DATA_SEED_Y).rand(N_SAMPLES) + + args.out_dir.mkdir(parents=True, exist_ok=True) + + for i in range(2): + model = RandomForestRegressor(random_state=i).fit(X, y) + with tempfile.TemporaryDirectory() as tmp: + tmp_path = Path(tmp) / "sklearn-model" + joblib.dump(model, tmp_path) + out_tar = args.out_dir / f"mme_model_{i}.tar.gz" + with tarfile.open(out_tar, "w:gz") as tar: + tar.add(tmp_path, arcname="sklearn-model") + preds = model.predict(TEST_PAYLOAD) + print(f"{out_tar} -> predict(TEST_PAYLOAD) = {preds.tolist()}") + + +if __name__ == "__main__": + main() From 62be2e3c23b481c336c330243d07c9244f50d554 Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Mon, 13 Jul 2026 21:55:30 -0700 Subject: [PATCH 08/12] sklearn: use pickle.dump not joblib.dump in mme regen script --- test/sklearn/scripts/regen_mme_fixtures.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/test/sklearn/scripts/regen_mme_fixtures.py b/test/sklearn/scripts/regen_mme_fixtures.py index b83d3dcb4587..e64f4e127203 100644 --- a/test/sklearn/scripts/regen_mme_fixtures.py +++ b/test/sklearn/scripts/regen_mme_fixtures.py @@ -11,7 +11,7 @@ Usage: uv venv --python 3.12 && source .venv/bin/activate - uv pip install scikit-learn== joblib numpy + uv pip install scikit-learn== numpy python regen_mme_fixtures.py --sklearn-version --out-dir . Prints the model's prediction on the CSV test payload from test_inference_mme.py @@ -19,11 +19,11 @@ """ import argparse +import pickle import tarfile import tempfile from pathlib import Path -import joblib import numpy as np import sklearn from sklearn.ensemble import RandomForestRegressor @@ -73,7 +73,8 @@ def main(): model = RandomForestRegressor(random_state=i).fit(X, y) with tempfile.TemporaryDirectory() as tmp: tmp_path = Path(tmp) / "sklearn-model" - joblib.dump(model, tmp_path) + with open(tmp_path, "wb") as f: + pickle.dump(model, f) out_tar = args.out_dir / f"mme_model_{i}.tar.gz" with tarfile.open(out_tar, "w:gz") as tar: tar.add(tmp_path, arcname="sklearn-model") From 821c1715d712ba337770e725425d174f10f69c9b Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Tue, 14 Jul 2026 10:36:23 -0700 Subject: [PATCH 09/12] sklearn: chmod +x regen script + surface target_model in predict log --- test/sklearn/sagemaker/conftest.py | 8 +++++--- test/sklearn/scripts/regen_mme_fixtures.py | 0 2 files changed, 5 insertions(+), 3 deletions(-) mode change 100644 => 100755 test/sklearn/scripts/regen_mme_fixtures.py diff --git a/test/sklearn/sagemaker/conftest.py b/test/sklearn/sagemaker/conftest.py index 11ee7a84eae2..33cb61dbfe83 100644 --- a/test/sklearn/sagemaker/conftest.py +++ b/test/sklearn/sagemaker/conftest.py @@ -255,12 +255,14 @@ def deploy_inference_pipeline(models, role, test_name="pipe", instance_type="ml. def predict_and_log(predictor, payload, **kwargs): """Invoke an endpoint and log latency + first 200 chars of the response.""" payload_len = len(payload) if isinstance(payload, (str, bytes)) else len(str(payload)) - LOGGER.info(f"POST {predictor.endpoint_name} payload_len={payload_len}") + target_model = kwargs.get("target_model") + target_suffix = f" target={target_model}" if target_model else "" + LOGGER.info(f"POST {predictor.endpoint_name}{target_suffix} payload_len={payload_len}") start = time.time() response = predictor.predict(payload, **kwargs) LOGGER.info( - f"{predictor.endpoint_name} responded in {(time.time() - start) * 1000:.0f}ms: " - f"{str(response)[:200]}" + f"{predictor.endpoint_name}{target_suffix} responded in " + f"{(time.time() - start) * 1000:.0f}ms: {str(response)[:200]}" ) return response diff --git a/test/sklearn/scripts/regen_mme_fixtures.py b/test/sklearn/scripts/regen_mme_fixtures.py old mode 100644 new mode 100755 From aeb3e9a13662c233c3e67fd166e0a4a5cdc99dcc Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Tue, 14 Jul 2026 11:03:27 -0700 Subject: [PATCH 10/12] sklearn: pin protobuf==3.20.2 to match upstream --- docker/sklearn/1.9-0/pyproject.toml | 2 +- docker/sklearn/1.9-0/uv.lock | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docker/sklearn/1.9-0/pyproject.toml b/docker/sklearn/1.9-0/pyproject.toml index 72fb7ab94ab7..a0c2b98d860a 100644 --- a/docker/sklearn/1.9-0/pyproject.toml +++ b/docker/sklearn/1.9-0/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "PyYAML==6.0.3", "requests==2.33.0", "setuptools>=80.9.0,<81", - "protobuf>=3.20.0,<=3.20.3", + "protobuf==3.20.2", ] [tool.uv] diff --git a/docker/sklearn/1.9-0/uv.lock b/docker/sklearn/1.9-0/uv.lock index 47d7a23a5f55..55e3cc3ee7f3 100644 --- a/docker/sklearn/1.9-0/uv.lock +++ b/docker/sklearn/1.9-0/uv.lock @@ -492,11 +492,11 @@ wheels = [ [[package]] name = "protobuf" -version = "3.20.3" +version = "3.20.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/55/5b/e3d951e34f8356e5feecacd12a8e3b258a1da6d9a03ad1770f28925f29bc/protobuf-3.20.3.tar.gz", hash = "sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2", size = 216768, upload-time = "2022-09-29T22:39:47.592Z" } +sdist = { url = "https://files.pythonhosted.org/packages/3d/79/34fbcce8666c74ec6729e2844143fd066d9708eecb89ecd2037fc6cfe9a9/protobuf-3.20.2.tar.gz", hash = "sha256:712dca319eee507a1e7df3591e639a2b112a2f4a62d40fe7832a16fd19151750", size = 216716, upload-time = "2022-09-13T21:56:49.375Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/8d/14/619e24a4c70df2901e1f4dbc50a6291eb63a759172558df326347dce1f0d/protobuf-3.20.3-py2.py3-none-any.whl", hash = "sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db", size = 162128, upload-time = "2022-09-29T22:39:44.547Z" }, + { url = "https://files.pythonhosted.org/packages/8b/e6/2a47ce2eba1aaf287380a44270da897ada03d118a55c19595ec7b4f0831f/protobuf-3.20.2-py2.py3-none-any.whl", hash = "sha256:c9cdf251c582c16fd6a9f5e95836c90828d51b0069ad22f463761d27c6c19019", size = 162128, upload-time = "2022-09-13T21:56:47.5Z" }, ] [[package]] @@ -785,7 +785,7 @@ requires-dist = [ { name = "multi-model-server", specifier = "==1.1.2" }, { name = "numpy", specifier = "==2.5.1" }, { name = "pandas", specifier = "==2.2.3" }, - { name = "protobuf", specifier = ">=3.20.0,<=3.20.3" }, + { name = "protobuf", specifier = "==3.20.2" }, { name = "pyarrow", specifier = "==25.0.0" }, { name = "pyyaml", specifier = "==6.0.3" }, { name = "requests", specifier = "==2.33.0" }, From 9fbdeed242e5b5d9bba5a599e9ac7e5daf05874a Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Tue, 14 Jul 2026 11:48:10 -0700 Subject: [PATCH 11/12] sklearn: switch 1.9 config to upstream master + gamma release env --- .github/config/image/sklearn/sagemaker-1.9-0.yml | 6 ++---- .github/workflows/sklearn.dispatch-release.yml | 2 +- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/.github/config/image/sklearn/sagemaker-1.9-0.yml b/.github/config/image/sklearn/sagemaker-1.9-0.yml index f59692ee4d65..6a2aeda6037a 100644 --- a/.github/config/image/sklearn/sagemaker-1.9-0.yml +++ b/.github/config/image/sklearn/sagemaker-1.9-0.yml @@ -18,9 +18,7 @@ build: target: "sklearn-sagemaker" base_image: "amazonlinux:2023" python_version: "3.12" - # Temporary — points at branch on upstream master repo for testing. - # Flip to "master" once upstream PR merges + before merging this DLC PR. - sklearn_container_branch: "feat/upgrade-sklearn-1.9" + sklearn_container_branch: "master" release: release: false @@ -28,4 +26,4 @@ release: public_registry: false private_registry: true enable_soci: false - environment: "production" + environment: "gamma" diff --git a/.github/workflows/sklearn.dispatch-release.yml b/.github/workflows/sklearn.dispatch-release.yml index 59943425169b..22058405fb38 100644 --- a/.github/workflows/sklearn.dispatch-release.yml +++ b/.github/workflows/sklearn.dispatch-release.yml @@ -7,7 +7,7 @@ on: description: "Path to image config YAML" required: true type: string - default: ".github/config/image/sklearn/sagemaker-1.4-2-py312.yml" + default: ".github/config/image/sklearn/sagemaker-1.9-0.yml" concurrency: group: ${{ github.workflow }}-${{ inputs.config-file }} From 3414b7e4e568afcd52a8b8c45222f68b22cfe3fc Mon Sep 17 00:00:00 2001 From: Jinyan Li Date: Tue, 14 Jul 2026 14:14:14 -0700 Subject: [PATCH 12/12] sklearn 1.9: add awscli-2 and SAGEMAKER_SKLEARN_VERSION env --- docker/sklearn/1.9-0/Dockerfile | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docker/sklearn/1.9-0/Dockerfile b/docker/sklearn/1.9-0/Dockerfile index 88fcf0c32401..ebb2251dd137 100644 --- a/docker/sklearn/1.9-0/Dockerfile +++ b/docker/sklearn/1.9-0/Dockerfile @@ -57,6 +57,7 @@ ENV PYTHONDONTWRITEBYTECODE=1 \ RUN dnf update -y && dnf install -y --allowerasing \ python${PYTHON_VERSION} python${PYTHON_VERSION}-devel \ gcc gcc-c++ make git curl wget tar gzip unzip jq which \ + awscli-2 \ java-1.8.0-amazon-corretto \ nginx expat libxml2 glib2 libffi zlib zstd \ openssl-devel libcurl-devel \ @@ -120,7 +121,8 @@ LABEL com.amazonaws.sagemaker.capabilities.multi-models=true LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true # SageMaker environment -ENV SM_INPUT=/opt/ml/input \ +ENV SAGEMAKER_SKLEARN_VERSION=1.9-0 \ + SM_INPUT=/opt/ml/input \ SM_INPUT_TRAINING_CONFIG_FILE=/opt/ml/input/config/hyperparameters.json \ SM_INPUT_DATA_CONFIG_FILE=/opt/ml/input/config/inputdataconfig.json \ SM_CHECKPOINT_CONFIG_FILE=/opt/ml/input/config/checkpointconfig.json \