sagemaker-studio-custom-image-samples
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This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio
After following the steps listed [here](https://github.com/aws-samples/sagemaker-studio-custom-image-samples/tree/main/examples/conda-env-kernel-image) exactly I began a SageMaker Studio session. After creating selecting the custom image and beginning a console I received the following error: ``` Invalid...
The examples in this repo and the image configuration in SageMaker Studio assume that custom images are run as user `sagemaker-user` with UID 1000 and GUID 100. However, at least...
## Expected Behavior 1. I attach a custom docker container to my SageMaker Studio session ([example Dockerfile](https://github.com/singlecellopenproblems/SingleCellOpenProblems/blob/docker-jupyter-kernels/docker/openproblems/Dockerfile)) 2. I launch a SageMaker Studio notebook using a Jupyter Kernel from the...
update base image used in DockerFile. public aws should be used as when the reader tries building the image on the cloud on their own account if not authenticated on...
``` Updating Julia to the latest stable version fixed the build: https://julialang.org/downloads/#current_stable_release ``` *Issue #, if available:* Docker build was failing for this image with the following error: ``` Updating...
I've been trying to use my own custom image in SageMaker Studio and I always get the same error when trying to associate a notebook to the kernel (as seen...
Hi All, I'm using `https://github.com/aws-samples/sagemaker-studio-custom-image-samples/tree/main/examples/python-poetry-image` to bring the custom image to Sagemaker Studio. However, when I start the notebook, with this custom image using apptype KernelGateway, it's takes a lot...
> => ERROR [5/6] RUN conda install --quiet --yes 'r-base=4.0.0' 'r-caret=6.*' 'r-crayon=1.3*' 'r-devtools=2.3*' 'r-forecast= 83.8s > ------ > > [5/6] RUN conda install --quiet --yes 'r-base=4.0.0' 'r-caret=6.*' 'r-crayon=1.3*' 'r-devtools=2.3*' 'r-forecast=8.12*'...
When I create a private repo and push my conda env, it works fine. However, I cant push my conda env to an existing public repo in ECR.
Any idea about this issue? An error occurred (ResourceInUse) when calling the CreateImage operation: The Image with ImageName conda-env-kernel-test already exists. Please use a different ImageName. An error occurred (ValidationException)...