THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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- Train simple models on earlier versions of MXNet, save the model and model parameters and upload them in an S3 bucket.
- During the training phase perform a simple inference on randomly generated data and save the randomly generated data as well as the inference output along with the model files on S3.
- The inference script running on the latest master branch of MXNet repository, would pull the model files + data and would try to load the models back into memory. The tests would fail if the models fail to load into memory or they give a different inference output. The different inference output could indicate or flag a potential change in an underlying operator.
- Use the same seed values to ensure we have the same environment for both training and inference files.
- These tests could be a part of nightly build process and would help in flagging out the above mentioned issues.