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Fix problem_0_steps in checkpoint averages #1273
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For some reason the CI system was unable to install the code on Python 3.6. |
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Thanks @senarvi ! |
theorm
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* master: internal merge of PR tensorflow#1274 add a metrics for calculating pearson correlation coefficient (tensorflow#1274) Rm dataset internal merge of PR tensorflow#1269 Improved model free eval. (tensorflow#1269) Re-enable eval summaries in the correct directory Create an integer problem_0_steps variable. (tensorflow#1273) Small En-Ro dataset for low-resource experiments, use that one in translation multi-problem; and a few corrections. Rm evaluation_hooks summarysaver. This shouldn't be here. Directory may be eval_train. Estimator is already logging summaries for eval. Add support for multiproblem to mtf_model add explicit taskid check for all multiproblem_weight functions Readd nfg to open-source T2T for external collaboration. Starting work on a new mesh_tensorflow Transformer implementation. This implementation lives in the mesh_tensorflow library and does not depend on Tensor2Tensor.
kpe
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Mar 2, 2019
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Currently
t2t-avg-allcreates an average of thetrain_stats/problem_0_stepsvariable, of type float32, which prevents restoring variables from the averaged checkpoints. This fix will create a dummytrain_stats/problem_0_stepsvariable, of type int32.