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Providing reproducibility in deep learning frameworks

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Addressing previously reported [tensorflow issue #38185](https://github.com/tensorflow/tensorflow/issues/38185). Also tied to `tfdeterminism` issues #19, #14, #9. Fused implementation of `{sparse_,}softmax_cross_entropy_with_logits` exhibits non-determinism in its backprop. This PR will provide a patch that...

Dear developers, I included in my code all the steps listed in this repository but still could not achieve reproducibility either using TF 2.1 or TF 2.0. Here's the link...

debugging

Hi, I'm trying to use this patch with Tensorflow 2.0, but the learning is still non-deterministic. I guess it is due to XLA optimization. How can I disable XLA? Bests,

debugging
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added missing parentheses in tensorflow.md tf.config.experimental.enable_op_determinism()