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CLI for building Docker images in SageMaker Studio using AWS CodeBuild.

Results 22 sagemaker-studio-image-build-cli issues
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*Issue #, if available:* *Description of changes:* Can we modify the container repositories created by CodeBuild to enable ScanOnPush by default? This seems like a best practice that we would...

As far as I can tell from the source, it seems like the user has no input to control the prefix of the uploaded code. The s3.upload_fileobj() is used but...

*Issue #, if available:* Issue https://github.com/aws-samples/sagemaker-studio-image-build-cli/issues/10 *Description of changes:* Adds `--environment` option to set `LINUX_GPU_CONTAINER` when build involves compiling Cuda operations. By submitting this pull request, I confirm that you...

a use case in an environment where custom libraries are being pulled in from JFrog or even Docker hub, we need to be able to pass in credentials. The typical...

enhancement

If a Docker file installs libraries from a private PyPi repo (a repo. within a VPC), the docker build fails from the codebuild project. The reason being, the code build...

enhancement

Added the eu-west-1 ECR registry so it's possible to run sm-docker with eu-west-1 as AWS_DEFAULT_REGION *Issue #, if available:* *Description of changes:* Added the eu-west-1 registry for sagemaker studio images...

**Issue #, if available:** Stop-gap for missing containers mentioned in #13, but doesn't provide the requested CLI input feature **Description of changes:** Conditionally log in to the appropriate ECR accounts...

Currently build environment is hardcoded to `LINUX_CONTAINER`. This will cause builds that involve compiling Cuda operations to fail (for example, Docker images that include custom PyTorch or Tensorflow operations). Adding...

enhancement

Thanks for providing the useful tool, I tried it in two regions, it works for me in us-west-2, but failed in cn-northwest-1 and the first problem seems incorrect URI, for...

bug

When building a conda environment in the Dockerfile I am getting the following error message: ``` CondaMemoryError: The conda process ran out of memory. Increase system memory and/or try again....

enhancement