Merge pull request kserve#24 from red-hat-data-services/konflux-2.16

Create Dockerfile.konflux

Author: MohammadiIram

Dockerfile.konflux

@@ -0,0 +1,95 @@
+
+ARG BUILD_BASE=develop
+
+#go-1.21
+FROM --platform=$BUILDPLATFORM registry.redhat.io/ubi8/go-toolset@sha256:4ec05fd5b355106cc0d990021a05b71bbfb9231e4f5bdc0c5316515edf6a1c96 AS build
+
+FROM --platform=$BUILDPLATFORM $BUILD_BASE AS build
+
+LABEL image="build"
+
+USER root
+
+# needed for konflux as the previous stage is not used
+WORKDIR /opt/app
+COPY go.mod go.sum ./
+# Download dependencies before copying the source so they will be cached
+RUN go mod download
+
+# Copy the source
+COPY . ./
+
+ARG TARGETOS=amd64
+ARG TARGETARCH=linux
+
+# Build the binaries using native go compiler from BUILDPLATFORM but compiled output for TARGETPLATFORM
+# https://www.docker.com/blog/faster-multi-platform-builds-dockerfile-cross-compilation-guide/
+RUN --mount=type=cache,target=/root/.cache/go-build \
+    --mount=type=cache,target=/go/pkg \
+    export GOOS=${TARGETOS:-linux} && \
+    export GOARCH=${TARGETARCH:-amd64} && \
+    go build -o puller model-serving-puller/main.go && \
+    go build -o triton-adapter model-mesh-triton-adapter/main.go && \
+    go build -o mlserver-adapter model-mesh-mlserver-adapter/main.go && \
+    go build -o ovms-adapter model-mesh-ovms-adapter/main.go && \
+    go build -o torchserve-adapter model-mesh-torchserve-adapter/main.go
+
+
+###############################################################################
+# Stage 3: Copy build assets to create the smallest final runtime image
+###############################################################################
+#ubi-minimal:latest
+FROM registry.redhat.io/ubi8/ubi-minimal@sha256:7583ca0ea52001562bd81a961da3f75222209e6192e4e413ee226cff97dbd48c as runtime
+
+ARG USER=2000
+
+USER root
+
+# install python to convert keras to tf
+# NOTE: tensorflow not supported on PowerPC (ppc64le) or System Z (s390x) https://github.com/tensorflow/tensorflow/issues/46181
+RUN --mount=type=cache,target=/root/.cache/microdnf:rw \
+    microdnf install --setopt=cachedir=/root/.cache/microdnf --setopt=ubi-8-appstream-rpms.module_hotfixes=1 \
+       gcc \
+       gcc-c++ \
+       python38-devel \
+       python38 \
+    && ln -sf /usr/bin/python3 /usr/bin/python \
+    && ln -sf /usr/bin/pip3 /usr/bin/pip \
+    && true
+
+# need to upgrade pip and install wheel before installing grpcio, before installing tensorflow on aarch64
+# use caching to speed up multi-platform builds
+COPY requirements.txt requirements.txt
+ENV PIP_CACHE_DIR=/root/.cache/pip
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install -r requirements.txt
+RUN rm -rfv requirements.txt
+USER ${USER}
+
+# Add modelmesh version
+COPY version /etc/modelmesh-version
+
+# Copy over the binary and use it as the entrypoint
+COPY --from=build /opt/app/puller /opt/app/
+COPY --from=build /opt/app/triton-adapter /opt/app/
+COPY --from=build /opt/app/mlserver-adapter /opt/app/
+COPY --from=build /opt/app/model-mesh-triton-adapter/scripts/tf_pb.py /opt/scripts/
+COPY --from=build /opt/app/ovms-adapter /opt/app/
+COPY --from=build /opt/app/torchserve-adapter /opt/app/
+
+# wait to create commit-specific LABEL until end of the build to not unnecessarily
+# invalidate the cached image layers
+ARG IMAGE_VERSION
+ARG COMMIT_SHA
+
+LABEL com.redhat.component="odh-modelmesh-runtime-adapter-container" \
+      name="managed-open-data-hub/odh-modelmesh-runtime-adapter-container-rhel8" \
+      description="Container which runs in each model serving pod and act as an intermediary between model-mesh and third-party model-server containers" \
+      summary="odh-model-serving-runtime-adapter" \
+      maintainer="['[email protected]']" \
+      io.k8s.display-name="odh-model-serving-runtime-adapter" \
+      io.k8s.description="odh-model-serving-runtime-adapter" \
+      com.redhat.license_terms="https://www.redhat.com/licenses/Red_Hat_Standard_EULA_20191108.pdf"
+      
+# Don't define an entrypoint. This is a multi-purpose image so the user should specify which binary they want to run (e.g. /opt/app/puller or /opt/app/triton-adapter)
+# ENTRYPOINT ["/opt/app/puller"]