160 lines
7.0 KiB
Markdown
160 lines
7.0 KiB
Markdown
# Bitnami Secure Image for Tensorflow
|
||
|
||
## What is Tensorflow?
|
||
|
||
> TensorFlow is an open-source machine learning framework for Python. It enables efficient computation and manipulation of multi-dimensional arrays for building and training machine learning models.
|
||
|
||
[Overview of Tensorflow](https://tensorflow.org)
|
||
Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.
|
||
|
||
## TL;DR
|
||
|
||
```console
|
||
docker run -it --name tensorflow bitnami/tensorflow
|
||
```
|
||
|
||
## Why use Bitnami Secure Images?
|
||
|
||
Those are hardened, minimal CVE images built and maintained by Bitnami. Bitnami Secure Images are based on the cloud-optimized, security-hardened enterprise [OS Photon Linux](https://vmware.github.io/photon/). Why choose BSI images?
|
||
|
||
- Hardened secure images of popular open source software with Near-Zero Vulnerabilities
|
||
- Vulnerability Triage & Prioritization with VEX Statements, KEV and EPSS Scores
|
||
- Compliance focus with FIPS, STIG, and air-gap options, including secure bill of materials (SBOM)
|
||
- Software supply chain provenance attestation through in-toto
|
||
- First class support for the internet’s favorite Helm charts
|
||
|
||
Each image comes with valuable security metadata. You can view the metadata in [our public catalog here](https://app-catalog.vmware.com/bitnami/apps). Note: Some data is only available with [commercial subscriptions to BSI](https://bitnami.com/).
|
||
|
||
|
||
|
||
|
||
If you are looking for our previous generation of images based on Debian Linux, please see the [Bitnami Legacy registry](https://hub.docker.com/u/bitnamilegacy).
|
||
|
||
## Why use a non-root container?
|
||
|
||
Non-root container images add an extra layer of security and are generally recommended for production environments. However, because they run as a non-root user, privileged tasks are typically off-limits. Learn more about non-root containers [in our docs](https://techdocs.broadcom.com/us/en/vmware-tanzu/application-catalog/tanzu-application-catalog/services/tac-doc/apps-tutorials-work-with-non-root-containers-index.html).
|
||
|
||
## Supported tags and respective `Dockerfile` links
|
||
|
||
Learn more about the Bitnami tagging policy and the difference between rolling tags and immutable tags [in our documentation page](https://techdocs.broadcom.com/us/en/vmware-tanzu/application-catalog/tanzu-application-catalog/services/tac-doc/apps-tutorials-understand-rolling-tags-containers-index.html).
|
||
|
||
You can see the equivalence between the different tags by taking a look at the `tags-info.yaml` file present in the branch folder, i.e `bitnami/ASSET/BRANCH/DISTRO/tags-info.yaml`.
|
||
|
||
Subscribe to project updates by watching the [bitnami/containers GitHub repo](https://github.com/bitnami/containers).
|
||
|
||
## Get this image
|
||
|
||
The recommended way to get the Bitnami Tensorflow Docker Image is to pull the prebuilt image from the [Docker Hub Registry](https://hub.docker.com/r/bitnami/tensorflow).
|
||
|
||
```console
|
||
docker pull bitnami/tensorflow:latest
|
||
```
|
||
|
||
To use a specific version, you can pull a versioned tag. You can view the [list of available versions](https://hub.docker.com/r/bitnami/tensorflow/tags/) in the Docker Hub Registry.
|
||
|
||
```console
|
||
docker pull bitnami/tensorflow:[TAG]
|
||
```
|
||
|
||
If you wish, you can also build the image yourself by cloning the repository, changing to the directory containing the Dockerfile and executing the `docker build` command. Remember to replace the `APP`, `VERSION` and `OPERATING-SYSTEM` path placeholders in the example command below with the correct values.
|
||
|
||
```console
|
||
git clone https://github.com/bitnami/containers.git
|
||
cd bitnami/APP/VERSION/OPERATING-SYSTEM
|
||
docker build -t bitnami/APP:latest .
|
||
```
|
||
|
||
## 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 Tensorflow in Python.
|
||
|
||
```console
|
||
docker run -it --name tensorflow bitnami/tensorflow
|
||
```
|
||
|
||
## Configuration
|
||
|
||
### Running your Tensorflow app
|
||
|
||
The default work directory for the Tensorflow image is `/app`. You can mount a folder from your host here that includes your Tensorflow script, and run it normally using the `python` command.
|
||
|
||
```console
|
||
docker run -it --name tensorflow -v /path/to/app:/app bitnami/tensorflow \
|
||
python script.py
|
||
```
|
||
|
||
### Running a Tensorflow app with package dependencies
|
||
|
||
If your Tensorflow app has a `requirements.txt` defining your app's dependencies, you can install the dependencies before running your app.
|
||
|
||
```console
|
||
docker run -it --name tensorflow -v /path/to/app:/app bitnami/tensorflow \
|
||
sh -c "pip install -r requirements.txt && python script.py"
|
||
```
|
||
|
||
**Further Reading:**
|
||
|
||
- [tensorflow documentation](https://tensorflow.orgdocs/)
|
||
|
||
### FIPS configuration in Bitnami Secure Images
|
||
|
||
The Bitnami Tensorflow Docker image from the [Bitnami Secure Images](https://go-vmware.broadcom.com/contact-us) catalog includes extra features and settings to configure the container with FIPS capabilities. You can configure the next environment variables:
|
||
|
||
- `OPENSSL_FIPS`: whether OpenSSL runs in FIPS mode or not. `yes` (default), `no`.
|
||
|
||
## Maintenance
|
||
|
||
### Upgrade this image
|
||
|
||
Bitnami provides up-to-date versions of Tensorflow, 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/tensorflow:latest
|
||
```
|
||
|
||
#### Step 2: Remove the currently running container
|
||
|
||
```console
|
||
docker rm -v tensorflow
|
||
```
|
||
|
||
#### Step 3: Run the new image
|
||
|
||
Re-create your container from the new image.
|
||
|
||
```console
|
||
docker run --name tensorflow bitnami/tensorflow:latest
|
||
```
|
||
|
||
## Notable Changes
|
||
|
||
### Starting January 16, 2024
|
||
|
||
- The `docker-compose.yaml` file has been removed, as it was solely intended for internal testing purposes.
|
||
|
||
## Contributing
|
||
|
||
We'd love for you to contribute to this Docker image. You can request new features by creating an [issue](https://github.com/bitnami/containers/issues) or submitting a [pull request](https://github.com/bitnami/containers/pulls) with your contribution.
|
||
|
||
## Issues
|
||
|
||
If you encountered a problem running this container, you can file an [issue](https://github.com/bitnami/containers/issues/new/choose). For us to provide better support, be sure to fill the issue template.
|
||
|
||
## License
|
||
|
||
Copyright © 2025 Broadcom. The term "Broadcom" refers to Broadcom Inc. and/or its subsidiaries.
|
||
|
||
Licensed under the Apache License, Version 2.0 (the "License");
|
||
you may not use this file except in compliance with the License.
|
||
You may obtain a copy of the License at
|
||
|
||
<http://www.apache.org/licenses/LICENSE-2.0>
|
||
|
||
Unless required by applicable law or agreed to in writing, software
|
||
distributed under the License is distributed on an "AS IS" BASIS,
|
||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
See the License for the specific language governing permissions and
|
||
limitations under the License.
|