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A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Results 6 Seq2seqChatbots issues
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Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.15.2 to 2.7.2. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependencies

Currently the character-level chatbot is not working. There should be a parameter with which we can control for each dataset whether word-level or character-level data generation should be used (maybe...

enhancement
help wanted
low prio

The gradient checkpointed optimizer might not be needed for the seq2seq. Instead the default tensor2tensor optimizer class should be used.

enhancement
help wanted
low prio

The config file should be a class which works the same way as in: https://github.com/ricsinaruto/dialog-eval Each parameter should be settable through the command line as well.

enhancement
help wanted
low prio

Currently to decode a specific checkpoint of a trained model you have to modify the checkpoint file, to point to the checkpoint. There should be a parameter in the config...

enhancement
help wanted
low prio

Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.15.2 to 2.12.0. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.12.0 Release 2.12.0 TensorFlow Breaking Changes Build, Compilation and Packaging Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These...

dependencies