Hi, thanks for the great code!

I wonder do you have plans to support resuming from checkpoints for classification? As we all know, in terms of training ImageNet, the training process is really long and it can be interrupted somehow, but I haven't notice any code related to "resume" in scripts/classification/train_imagenet.py.

Maybe @hetong007 ? Thanks in advance.

How do i resume training for text classification?

Description

TVM support has been added in dmlc/gluon-nlp#1390. Also, we updated our benchmarking utility to support profiling the inference speed of TVM: https://github.com/dmlc/gluon-nlp/tree/master/scripts/benchmarks. We can further improve our document.

• Attach the benchmark numbers. (Good for beginners)
• Add a tutorial about how to convert GluonNLP mod

We have a variety of tests scattered across the repo. @apollo-elements/mixins does most of the heavy lifting. I would like to see the tests in mixins replicated across packages. i.e. Just like ApolloQueryMixin is tested to make sure that data is set when a good query resolves, so should lit-apollo's ApolloQuery, and Polymer ApolloQuery, etc.

It would be swell to export some `testBas