From 1a23b9cf94cc1c920bfc8e34d4558e9bab88cae5 Mon Sep 17 00:00:00 2001 From: Bitnami Bot Date: Sat, 21 Mar 2026 06:26:50 +0100 Subject: [PATCH] [bitnami/pytorch] Release 2.10.0-debian-12-r3 (#91776) Signed-off-by: Bitnami Bot --- bitnami/pytorch/2/debian-12/Dockerfile | 6 +-- bitnami/pytorch/README.md | 68 ++++++-------------------- 2 files changed, 17 insertions(+), 57 deletions(-) diff --git a/bitnami/pytorch/2/debian-12/Dockerfile b/bitnami/pytorch/2/debian-12/Dockerfile index e94273df7d0c..a27a9f73cfaa 100644 --- a/bitnami/pytorch/2/debian-12/Dockerfile +++ b/bitnami/pytorch/2/debian-12/Dockerfile @@ -7,7 +7,7 @@ ARG DOWNLOADS_URL="downloads.bitnami.com/files/stacksmith" ARG TARGETARCH LABEL org.opencontainers.image.base.name="docker.io/bitnami/minideb:bookworm" \ - org.opencontainers.image.created="2026-02-19T04:05:06Z" \ + org.opencontainers.image.created="2026-03-21T04:50:48Z" \ org.opencontainers.image.description="Application packaged by Broadcom, Inc." \ org.opencontainers.image.documentation="https://github.com/bitnami/containers/tree/main/bitnami/pytorch/README.md" \ org.opencontainers.image.source="https://github.com/bitnami/containers/tree/main/bitnami/pytorch" \ @@ -28,7 +28,7 @@ RUN --mount=type=secret,id=downloads_url,env=SECRET_DOWNLOADS_URL \ DOWNLOADS_URL=${SECRET_DOWNLOADS_URL:-${DOWNLOADS_URL}} ; \ mkdir -p /tmp/bitnami/pkg/cache/ ; cd /tmp/bitnami/pkg/cache/ || exit 1 ; \ COMPONENTS=( \ - "python-3.12.12-16-linux-${OS_ARCH}-debian-12" \ + "python-3.12.13-2-linux-${OS_ARCH}-debian-12" \ "pytorch-2.10.0-2-linux-${OS_ARCH}-debian-12" \ ) ; \ for COMPONENT in "${COMPONENTS[@]}"; do \ @@ -51,7 +51,7 @@ COPY rootfs / RUN /opt/bitnami/scripts/pytorch/postunpack.sh ENV APP_VERSION="2.10.0" \ BITNAMI_APP_NAME="pytorch" \ - IMAGE_REVISION="2" \ + IMAGE_REVISION="3" \ LNAME="pytorch" \ PATH="/opt/bitnami/python/bin:$PATH" diff --git a/bitnami/pytorch/README.md b/bitnami/pytorch/README.md index e30fca763a65..517b217f687d 100644 --- a/bitnami/pytorch/README.md +++ b/bitnami/pytorch/README.md @@ -1,7 +1,5 @@ # Bitnami Secure Image for PyTorch -## What is PyTorch? - > PyTorch is a deep learning platform that accelerates the transition from research prototyping to production deployment. Bitnami image includes Torchvision for specific computer vision support. [Overview of PyTorch](https://pytorch.org/) @@ -9,6 +7,8 @@ Trademarks: This software listing is packaged by Bitnami. The respective tradema ## TL;DR +Use this quick command to run the container. + ```console docker run -it --name pytorch bitnami/pytorch ``` @@ -40,7 +40,7 @@ Learn more about the Bitnami tagging policy and the difference between rolling t ## Get this image -The recommended way to get the Bitnami Pytorch Docker Image is to pull the prebuilt image from the [Docker Hub Registry](https://hub.docker.com/r/bitnami/pytorch). +The recommended way to get the Bitnami PyTorch Docker Image is to pull the prebuilt image from the [Docker Hub Registry](https://hub.docker.com/r/bitnami/pytorch). ```console docker pull bitnami/pytorch:latest @@ -60,6 +60,10 @@ cd bitnami/APP/VERSION/OPERATING-SYSTEM docker build -t bitnami/APP:latest . ``` +## Using `docker-compose.yaml` + +Please be aware this file has not undergone internal testing. Consequently, we advise its use exclusively for development or testing purposes. For production-ready deployments, we highly recommend utilizing its associated [Bitnami Helm chart](https://github.com/bitnami/charts/tree/main/bitnami/pytorch). + ## Entering the REPL By default, running this image will drop you into the Python REPL, where you can interactively test and try things out with PyTorch in Python. @@ -70,9 +74,11 @@ docker run -it --name pytorch bitnami/pytorch ## Configuration +The following sections describe how to run your app and configure FIPS. + ### Running your PyTorch app -The default work directory for the PyTorch image is `/app`. You can mount a folder from your host here that includes your PyTorch script, and run it normally using the `python` command. +The default work directory for the PyTorch image is `/app`. You can mount a folder from your host here that includes your PyTorch script and run it normally using the `python` command. ```console docker run -it --name pytorch -v /path/to/app:/app bitnami/pytorch \ @@ -88,10 +94,10 @@ docker run -it --name pytorch -v /path/to/app:/app bitnami/pytorch \ sh -c "conda install -y --file requirements.txt && python script.py" ``` -**Further Reading:** +**Additional documentation:** -- [pytorch documentation](https://pytorch.org/docs/stable/index.html) -- [conda documentation](https://docs.conda.io/en/latest/) +- [PyTorch documentation](https://pytorch.org/docs/stable/index.html) +- [Conda documentation](https://docs.conda.io/en/latest/) ### FIPS configuration in Bitnami Secure Images @@ -99,57 +105,11 @@ The Bitnami PyTorch Docker image from the [Bitnami Secure Images](https://go-vmw - `OPENSSL_FIPS`: whether OpenSSL runs in FIPS mode or not. `yes` (default), `no`. -## Maintenance - -### Upgrade this image - -Bitnami provides up-to-date versions of PyTorch, including security patches, soon after they are made upstream. We recommend that you follow these steps to upgrade your container. - -#### Step 1: Get the updated image - -```console -docker pull bitnami/pytorch:latest -``` - -or if you're using Docker Compose, update the value of the image property to `bitnami/pytorch:latest`. - -#### Step 2: Remove the currently running container - -```console -docker rm -v pytorch -``` - -or using Docker Compose: - -```console -docker-compose rm -v pytorch -``` - -#### Step 3: Run the new image - -Re-create your container from the new image. - -```console -docker run --name pytorch bitnami/pytorch:latest -``` - -or using Docker Compose: - -```console -docker-compose up pytorch -``` - ## Notable changes ### 1.9.0-debian-10-r3 -This version removes miniconda in favour of pip. This creates a smaller container and least prone to security issues. Users extending this container with other packages will need to switch from conda to pip commands. - -## Using `docker-compose.yaml` - -Please be aware this file has not undergone internal testing. Consequently, we advise its use exclusively for development or testing purposes. For production-ready deployments, we highly recommend utilizing its associated [Bitnami Helm chart](https://github.com/bitnami/charts/tree/main/bitnami/pytorch). - -If you detect any issue in the `docker-compose.yaml` file, feel free to report it or contribute with a fix by following our [Contributing Guidelines](https://github.com/bitnami/containers/blob/main/CONTRIBUTING.md). +This version removes `miniconda` in favour of `pip`. This creates a smaller container and least prone to security issues. Users extending this container with other packages will need to switch from `conda` to `pip` commands. ## License