Comments (2)
Is this still an issue given our new understanding of 'normal conda runs'? If code changes the conda environment for a test then a new Docker image will be built and registered. Thereafter that same environemt will reuse the image and will be fast.
That said, testing that the docker_shm_size is respected in a test that runs outside of the PR build sounds like a good idea.
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stale. Docker build time is not considered a blocker at the moment.
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Related Issues (20)
- Availability of ResNets aligned with CXR-BERT, trained on MIMIC-CXR HOT 3
- Expose overwrite option for output datasets in SDK v1 HOT 1
- Installation of hi-ml-multimodal 0.2.0 not working with Python 3.10
- When submitting a job via SDK v2, some users have to authenticate twice
- Can't supply "azure_datasets" argument on the commandline HOT 1
- make command failing
- Hyperdrive jobs can't be submitted with SDK v2 HOT 1
- Consider not creating any SDK v2 datasets even when using V2 SDK for submission
- Can CXR-BERT be used / fine-tuned for text generation? HOT 3
- MIL models create the train/validation loader even in eval_only mode HOT 1
- Job submission of scripts in subfolders of cwd fails, saying the script should be under project root HOT 2
- Fine-tuning for Radiology Report Generation HOT 1
- Pretraining/training script, loss functions for hi-ml-multimodal (BioViL) HOT 1
- Environment variables are not passed through when using the SDK v2 codepath HOT 1
- Pass an entire command to ScriptRunConfig instead of script path and arguments
- Submitting to AML with `health_azure` removes the trailing line from `.amlignore`
- Submitting a job to a compute instance fails because the number of nodes can't be read
- Reproducing RSNA Pneumonia zero-shot results
- `_download_file_from_run` silently does nothing if `is_local_rank_zero()` returns `False`
- Please fix "pip install hi-ml-multimodal" or use my fork for a working version HOT 5
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