aws / aws/sagemaker-mxnet-training-toolkit
Utility to handle Pipe mode input like PipeModeDatset in tensorflow_extensions
Open
- Dominant language
- Python
- Stars
- 60
- Forks
- 52
- PR merge metrics
- No merged PRs in 30d
Description
**Describe the feature you'd like**
Utility to handle Pipe mode input like pipmodeDatset in https://github.com/aws/sagemaker-tensorflow-extensions/blob/master/src/sagemaker_tensorflow/pipemode.py.
Is there anything similar for mxnet ecosystem?
Contributor guide
Research direction
The issue references sagemaker_tensorflow/pipemode.py as an example but does not name any target files or tests in this repository. Start by reviewing that reference and the toolkit's MXNet training entry points, then clarify the required Pipe mode behavior and acceptance criteria before estimating implementation or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100