Hi! I am using Deep Mind's Sonnet library to make my architecture code reusable. Sonnet is not included in the py2 container and I have not found a way to pass additional requirements to SageMaker. Could you implement a way to pass a requirements.txt file to the Tensorflow constructor so SageMaker installs the requirements in the Docker container before training? Floydhub lets you define the floyd_requirements.txt file that does exactly this and works very well.
Hi! I am using Deep Mind's Sonnet library to make my architecture code reusable. Sonnet is not included in the
py2container and I have not found a way to pass additional requirements to SageMaker. Could you implement a way to pass arequirements.txtfile to theTensorflowconstructor so SageMaker installs the requirements in the Docker container before training? Floydhub lets you define thefloyd_requirements.txtfile that does exactly this and works very well.