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[bitnami/tensorflow-resnet] Release 2.11.0-debian-11-r31 (#24425) 

Signed-off-by: Bitnami Containers <bitnami-bot@vmware.com>
This commit is contained in:
Bitnami Bot 2023-02-17 20:06:00 +01:00 committed by GitHub
parent c00e705afc
commit 5238c22324
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3 changed files with 19 additions and 19 deletions
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12
bitnami/tensorflow-resnet/2/debian-11/Dockerfile
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@ -2,11 +2,11 @@ FROM docker.io/bitnami/minideb:bullseye
ARG TARGETARCH
LABEL org.opencontainers.image.authors="https://bitnami.com/contact" \
org.opencontainers.image.description="Application packaged by Bitnami" \
LABEL org.opencontainers.image.base.name="docker.io/bitnami/minideb:bullseye" \
org.opencontainers.image.created="2023-02-17T18:37:08Z" \
org.opencontainers.image.description="Application packaged by VMware, Inc" \
org.opencontainers.image.licenses="Apache-2.0" \
org.opencontainers.image.ref.name="2.11.0-debian-11-r30" \
org.opencontainers.image.source="https://github.com/bitnami/containers/tree/main/bitnami/tensorflow-resnet" \
org.opencontainers.image.ref.name="2.11.0-debian-11-r31" \
org.opencontainers.image.title="tensorflow-resnet" \
org.opencontainers.image.vendor="VMware, Inc." \
org.opencontainers.image.version="2.11.0"
@ -22,8 +22,8 @@ SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN install_packages ca-certificates curl gcc-10 libgcc-s1 libstdc++6 procps
RUN mkdir -p /tmp/bitnami/pkg/cache/ && cd /tmp/bitnami/pkg/cache/ && \
COMPONENTS=( \
"tensorflow-resnet-2.11.0-2-linux-${OS_ARCH}-debian-11" \
"gosu-1.16.0-1-linux-${OS_ARCH}-debian-11" \
"tensorflow-resnet-2.11.0-3-linux-${OS_ARCH}-debian-11" \
"gosu-1.16.0-2-linux-${OS_ARCH}-debian-11" \
) && \
for COMPONENT in "${COMPONENTS[@]}"; do \
if [ ! -f "${COMPONENT}.tar.gz" ]; then \

8
bitnami/tensorflow-resnet/2/debian-11/prebuildfs/opt/bitnami/.bitnami_components.json
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@ -1,16 +1,16 @@
{
"gosu": {
"arch": "amd64",
"digest": "9ab9654690d90d3c49ff66fb1eb286487e318adc899d036bc45922f6b176865b",
"digest": "f6056076afb745fd7d9d87d20f71e7248d63330352cf5ae0be2130b7f44a8cfa",
"distro": "debian-11",
"type": "NAMI",
"version": "1.16.0-1"
"version": "1.16.0-2"
},
"tensorflow-resnet": {
"arch": "amd64",
"digest": "2b79ab6c221178284501eec53c627f7acbda9a037b0295ab719125289a7e3d53",
"digest": "9fab8ce681fb83d33ced04b79595bd1ba10d7952929180bc75d8a7bcdb6b45c2",
"distro": "debian-11",
"type": "NAMI",
"version": "2.11.0-2"
"version": "2.11.0-3"
}
}

18
bitnami/tensorflow-resnet/README.md
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@ -102,8 +102,8 @@ Bitnami provides up-to-date versions of Tensorflow-Serving and TensorFlow ResNet
2. Stop your container
* For docker-compose: `docker-compose stop tensorflow-resnet`
* For manual execution: `docker stop tensorflow-resnet`
* For docker-compose: `$ docker-compose stop tensorflow-resnet`
* For manual execution: `$ docker stop tensorflow-resnet`
3. Take a snapshot of the application state
@ -111,18 +111,18 @@ Bitnami provides up-to-date versions of Tensorflow-Serving and TensorFlow ResNet
rsync -a tensorflow-resnet-persistence tensorflow-resnet-persistence.bkp.$(date +%Y%m%d-%H.%M.%S)
```
Additionally, [snapshot the TensorFlow Serving data](https://github.com/bitnami/containers/blob/main/bitnami/mariadb#step-2-stop-and-backup-the-currently-running-container)
Additionally, [snapshot the TensorFlow Serving data](https://github.com/bitnami/containers/blob/main/bitnami/mariadb#step-2-stop-and-backup-the-currently-running-container)
You can use these snapshots to restore the application state should the upgrade fail.
You can use these snapshots to restore the application state should the upgrade fail.
4. Remove the currently running container
1. Remove the currently running container
* For docker-compose: `docker-compose rm tensorflow-resnet`
* For manual execution: `docker rm tensorflow-resnet`
* For docker-compose: `$ docker-compose rm tensorflow-resnet`
* For manual execution: `$ docker rm tensorflow-resnet`
5. Run the new image
2. Run the new image
* For docker-compose: `docker-compose up tensorflow-resnet`
* For docker-compose: `$ docker-compose up tensorflow-resnet`
* For manual execution (mount the directories if needed): `docker run --name tensorflow-resnet bitnami/tensorflow-resnet:latest`
## Configuration