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[bitnami/pytorch] Release 2.10.0-debian-12-r3 (#91776)

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Signed-off-by: Bitnami Bot <bitnami.bot@broadcom.com>
This commit is contained in:
Bitnami Bot
2026-03-21 06:26:50 +01:00
committed by GitHub
parent 34f3c21c0e
commit 1a23b9cf94
2 changed files with 17 additions and 57 deletions
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bitnami/pytorch/2/debian-12/Dockerfile
+3 -3
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@@ -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"
bitnami/pytorch/README.md
+14 -54
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@@ -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