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Memory, Attention and Composition (MAC) Network for CLEVR implemented in PyTorch

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Hi @rosinality, Great job! Is the accuracy you reported for training set? I got 96.xx% accuracy on train data, and the avg. accuracy on validation set is 85.9%.

Thanks for making this repo available! Just want to post that when the memory grate and write attention are used together, the performance seems to be worse.

Hi! This is probably a gap in my understanding of pyTorch or h5py, but I wanted to bring it your attention just in case it’s not. The output of image_features.py...

Hi again, I want to know how can we used the saved checkpoints to reusme training? I used the following code for this purpose, but it used to give me...

@rosinality Hi, since the original MACnet code supports multiple configurations, I wanted to make sure that does your code offers full support for original macnet's functionality or not?