AutoGluon Multimodal FAQ

There is no internet access in my deployment environment. What should I do?

When you have trained the predictor, try to save it with

predictor.save(SAVE_PATH, standalone=True)

Afterwards, the following .load() call can happen without internet access:

from autogluon.multimodal import MultiModalPredictor

predictor = MultiModalPredictor.load(SAVE_PATH)

What machine is best for running AutoGluon Multimodal?

AutoGluon Multimodal is primarily used for fine-tuning pretrained deep learning models. For efficient training, it is highly recommended to utilize GPU machines. By default, AutoGluon Multimodal leverages all GPUs available on a single machine. However, if training with a single GPU is too slow due to large models or data, it is advisable to switch to a machine with multiple GPUs. When using AWS instances, starting with G4 or G5 instances is recommended. In cases where GPU memory is insufficient, even with per_gpu_batch_size=1, transitioning to p3dn.24xlarge or P4 instances can be considered. P4 and P5 instances generally offer superior speed and memory capabilities, but they also come at a higher cost. Achieving a balance between performance and cost is essential to find an optimal solution.

Multi-GPU training encounters RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. How to fix it?

A straightforward solution is to enclose your code within the condition if __name__ == '__main__'. By default, we use ddp_spawn as the strategy, which does not fork to initiate the child processes. Hence, it is necessary to employ the proper idiom if __name__ == '__main__' in the main module.

Do I need to preprocess my text or image data before using AutoGluon Multimodal?

Usually you do not need to preprocess the text / image data. AutoGluon Multimodal has built-in support of text / image preprocessing. However, this won’t block you from appending custom preprocessing logic before feeding in the dataframe to AutoGluon Multimodal.

Is it possible to customize AutoGluon Multimodal?

Yes, check out the Multimodal Customization tutorial.

Can I use AutoGluon Multimodal in Kaggle Competitions?

Yes, we provided a script for building a standalone runnable package of AutoGluon: AutoGluon Multimodal Kaggle Standalone Package. We used this script in our examples about Petfinder Pawpularity and Feedback Prize - Predicting Effective Arguments. You may refer to these examples for more details.