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Computation using data flow graphs for scalable machine learning

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This forked tensorflow repository is used for Parallax. It changes the original tensorflow-v1.6 to keep all the gradients and its target tensors made by automatic differentiation in TensorFlow collection. We also add average_option in SparseConditionalAccumulator to support the diverse average patterns of language models(average_option : Integer indicating how to average out the accumulated values(1: divide by the accumulation count, 2: divide by each element counter, 3: no division). The original tensorflow is here.

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Computation using data flow graphs for scalable machine learning

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