[{"_1":2,"_143":-5,"_144":-5},"loaderData",{"_3":4,"_13":14,"_21":22,"_137":138},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","routes/_layout",{"_15":-5,"_16":17,"_18":17,"_19":11,"_20":11},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.layers.$namespace.$reponame.$tag.(images).($imageUrlDigest)",{"_23":24,"_25":26,"_55":56,"_57":-7,"_58":-7,"_59":-7,"_60":-7,"_61":-5,"_62":-5,"_63":11,"_64":11,"_48":65,"_128":17,"_95":96,"_129":94,"_130":47,"_31":32,"_131":11,"_132":17,"_133":134,"_135":-5,"_136":11},"scanningType","none","tagData",{"_27":28,"_29":30,"_31":32,"_33":34,"_35":36,"_37":38,"_39":40,"_41":30,"_42":43,"_44":45,"_46":47,"_48":49,"_50":-5,"_51":40,"_52":53,"_54":17},"content_type","unrecognized","creator",35095401,"digest","sha256:710b8f41a9e9499a18f084339a1d83c4003000f3f65bf8c09e1bc03c6b5bf709","full_size",928135,"id",1263647274,"images",[],"last_updated","2026-08-08T11:18:18.899076Z","last_updater","last_updater_username","bitnamibot508","media_type","application/vnd.vmware.tac.metadata.config.v1+json","name","sha256-f5623e0905cc396b7ecb8435e0b9ed49c752ca1f5442a4ec0fdda05fefb15418.metadata","repository",7064851,"tag_last_pulled","tag_last_pushed","tag_status","inactive","v2","tagImages",[],"layerOrdinals","packageName","cveId","sbom","scoutSummary","staticSummary","isScoutPaymentRequired","canSeeVulnerabilities",{"_66":67,"_78":79,"_81":82,"_83":84,"_85":11,"_39":86,"_87":88,"_89":90,"_46":94,"_95":96,"_97":98,"_99":80,"_100":101,"_102":103,"_104":105,"_106":-5,"_107":108,"_109":110,"_111":11,"_112":96,"_113":114,"_119":11,"_120":121,"_125":96,"_126":127},"categories",[68,72,75],{"_46":69,"_70":71},"Languages & frameworks","slug","languages-and-frameworks",{"_46":73,"_70":74},"Machine learning & AI","machine-learning-and-ai",{"_46":76,"_70":77},"Data science","data-science","content_types",[80,28],"image","date_registered","2019-05-03T14:21:35.696756Z","description","Bitnami Secure Image for pytorch","is_private","2026-09-05T04:46:14.960633Z","last_modified","2026-03-19T16:23:20.996812Z","media_types",[91,92,93,45],"application/vnd.docker.distribution.manifest.list.v2+json","application/vnd.oci.image.config.v1+json","application/vnd.oci.image.index.v1+json","pytorch","namespace","bitnami","pull_count",1159338,"repository_type","star_count",78,"status",1,"status_description","active","source","collaborator_count",0,"full_description","# Bitnami Secure Image for PyTorch\n\n> 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.\n\n[Overview of PyTorch](https://pytorch.org/)\nTrademarks: 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.\n\n## TL;DR\n\n```console\ndocker run --name pytorch REGISTRY_NAME/bitnami/pytorch:latest\n```\n\n> Note: You need to substitute the `REGISTRY_NAME` placeholder with a reference to your container registry.\n\n## Why use a non-root container?\n\nNon-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).\n\n## Supported tags and respective `Dockerfile` links\n\nLearn 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).\n\n## Get this image\n\nThe 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).\n\n```console\ndocker pull REGISTRY_NAME/bitnami/pytorch:latest\n```\n\nTo use a specific version, you can pull a versioned tag. You can view the [list of available versions](https://hub.docker.com/r/bitnami/pytorch/tags/) in the Docker Hub Registry.\n\n```console\ndocker pull REGISTRY_NAME/bitnami/pytorch:[TAG]\n```\n\nIf 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.\n\n```console\ngit clone https://github.com/bitnami/containers.git\ncd bitnami/APP/VERSION/OPERATING-SYSTEM\ndocker build -t REGISTRY_NAME/bitnami/APP:latest .\n```\n\n## Using `docker-compose.yaml`\n\nPlease 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).\n\n## Entering the REPL\n\nBy default, running this image will drop you into the Python REPL, where you can interactively test and try things out with PyTorch in Python.\n\n```console\ndocker run -it --name pytorch bitnami/pytorch\n```\n\n## Configuration\n\nThe following sections describe how to run your app and configure FIPS.\n\n### Running your PyTorch app\n\nThe 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.\n\n```console\ndocker run -it --name pytorch -v /path/to/app:/app bitnami/pytorch \\\n python script.py\n```\n\n### Running a PyTorch app with package dependencies\n\nIf your PyTorch app has a `requirements.txt` defining your app's dependencies, you can install the dependencies before running your app.\n\n```console\ndocker run -it --name pytorch -v /path/to/app:/app bitnami/pytorch \\\n sh -c \"conda install -y --file requirements.txt && python script.py\"\n```\n\n**Additional documentation:**\n\n- [PyTorch documentation](https://pytorch.org/docs/stable/index.html)\n- [Conda documentation](https://docs.conda.io/en/latest/)\n\n### FIPS configuration in Bitnami Secure Images\n\nThe Bitnami PyTorch 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:\n\n- `OPENSSL_FIPS`: whether OpenSSL runs in FIPS mode or not. `yes` (default), `no`.\n\n## Notable changes\n\n### 1.9.0-debian-10-r3\n\nThis 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.\n\n## License\n\nCopyright © 2026 Broadcom. The term \"Broadcom\" refers to Broadcom Inc. and/or its subsidiaries.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n \n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n","has_starred","hub_user","immutable_tags_settings",{"_115":11,"_116":117},"enabled","rules",[118],".*","is_automated","permissions",{"_122":17,"_123":11,"_124":11},"read","write","admin","user","storage_size",2308735985121,"isOrg","reponame","tag","canDeleteTags","isHubSbxKitsEnabled","currentTab","","tagAttestations","displaySecurityMetadata","routes/_layout.layers.$namespace.$reponame.$tag.(images).($imageUrlDigest)._index",{"_23":24,"_59":-7,"_57":-7,"_58":-7,"_25":139,"_31":32,"_141":-7,"_142":11},{"_27":28,"_29":30,"_31":32,"_33":34,"_35":36,"_37":140,"_39":40,"_41":30,"_42":43,"_44":45,"_46":47,"_48":49,"_50":-5,"_51":40,"_52":53,"_54":17},[],"imageWithLayers","hasPermissionToViewRepoSettings","actionData","errors"]

bitnami/pytorch:sha256-f5623e0905cc396b7ecb8435e0b9ed49c752ca1f5442a4ec0fdda05fefb15418.metadata