OpenNMT-tf 2.11.0

New features

• Dump a PyTorch-style description of the model in the logs
• Support bucketing the evaluation dataset by length for improved efficiency (parameter length_bucket_width, usually enabled by default with --auto_config)
• Accept "tokens" batch type for evaluation and inference (parameter batch_type)
• Accept passing a flat list of files on the command line for nested inputters
• Add "checkpoint" export format to export models as TensorFlow checkpoints
• Add opennmt.layers.DenseReducer to reduce inputs with a linear transformation
• Add function opennmt.utils.average_checkpoints_into_layer to average a list of checkpoints into an existing layer instance

Fixes and improvements

• Improve training performance when not using gradient accumulation
• Simplify graph generated by opennmt.layers.MultiplyReducer
• Update the online documentation and add a list of direct children in each class reference, allowing to navigate up and down in the class inheritance