aws-samples / aws-samples/amazon-sagemaker-monai-examples
Why is training batch size larger than the one for testing?
Open
- Dominant language
- Jupyter Notebook
- Stars
- 21
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
https://github.com/aws-samples/amazon-sagemaker-monai-examples/blob/8fcbb95223c5a49902dbb7cae187650509feb411/source/monai_skin_cancer.py#L253
Why is the training batch size here ten times larger than that for the testing batches, isn't the resource consumption rather the other way around higher for training than for testing?
Contributor guide
Assessment
This issue has not been assessed yet.