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Merge branch 'master' of github.com:DeepImportance/deepimportance_code_release into master
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README.md

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@@ -19,3 +19,17 @@ Our implementation is publicly available in
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This artifact allows reproducing the experimental results presented in the paper. Below we
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describe how to reproduce results. Before going further, first, check
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installation page (i.e. INSTALL.md).
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### Notes
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* If you use Python 3.8, Cleverhans does not yet support Tensforflow 2.x, so you should make a change at utils_tf.py
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```python
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def kl_with_logits(p_logits, q_logits, scope=None, loss_collection=tf.compat.v1.GraphKeys.REGULARIZATION_LOSSES):
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```
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See [https://github.com/cleverhans-lab/cleverhans/issues/1183](https://github.com/cleverhans-lab/cleverhans/issues/1183)
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### Updates
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* **02/03/21**: Updated with support for Python 3.8

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