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root committed Mar 20, 2019
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Expand Up @@ -16,7 +16,10 @@ Download all saved models in the folder <>

To generate images for CIFAR-10 and Imagenet run


All code supports horovod execution, so model training can be speeded up substantially by using multiple different workers.
```
mpiexec -n <worker_num> <script>
```

## Image Manipulation

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To evaluate on the dSprites datasets, first download the dataset [here](https://github.com/deepmind/dsprites-dataset)

To train conditional models
```
python train.py
```
Models can be combined by

To test out of distribution generalization test.

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