## Summary
- Added --no-install-recommends flag to all apt-get install commands to reduce unnecessary dependencies
- Added apt-get clean after package installations to remove package cache and reduce image size
- Combined multiple apt commands into single instructions to reduce Docker image layers
## Test plan
Test by building the devcontainer and verifying functionality while ensuring reduced image size
Pull Request resolved: https://github.com/pytorch/pytorch/pull/152882
Approved by: https://github.com/cyyever, https://github.com/atalman, https://github.com/Skylion007
## Summary
- Replaced miniconda base image with base Ubuntu 22.04 image
- Installed Python and required dependencies using apt
- Replaced conda-based CUDA installation with apt-based version
- Updated paths in install-dev-tools.sh to reflect the new non-conda environment
- Removed conda-specific files and added requirements.txt for Python dependencies
## Test plan
Test by building and running the devcontainer in VS Code with both CPU and CUDA configurations
Pull Request resolved: https://github.com/pytorch/pytorch/pull/152881
Approved by: https://github.com/atalman
Without this the build will freeze with prompt:
Proceed ([y]/n)?
I'm using rootless podman in vscode instead of docker but I think it should not affect this.
..or does conda somehow detect Docker but not Podman? Anyway, this should not break anything.
Btw, I also had to uncomment the line: "remoteUser": "root" in devcontainer.json to finish the post installation properly but I guess there might be other workarounds - and perhaps you don't want to run as root if your container has root privileges.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/121128
Approved by: https://github.com/drisspg
# Summary
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### <samp>🤖 Generated by Copilot at 293ded1</samp>
This pull request adds support for using Visual Studio Code Remote - Containers extension with the pytorch project. It adds a `.devcontainer` folder with a `devcontainer.json` file, a `Dockerfile`, and a `noop.txt` file that configure and create a dev container with Anaconda and Python 3.
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### <samp>🤖 Generated by Copilot at d6b9cd7</samp>
> _`devcontainer.json`_
> _Configures PyTorch containers_
> _For CPU or GPU_
## Related to:
https://github.com/pytorch/pytorch/issues/92838
Pull Request resolved: https://github.com/pytorch/pytorch/pull/98252
Approved by: https://github.com/ZainRizvi
