TensorFlow Federated 0.61.0

Release 0.61.0

Major Features and Improvements

• Updated the type annotation for the dtype parameter to tff.TensorType.
• Added adaptive tuning function to ThresholdSampling class.
• Added
  tff.learning.models.ReconstructionModel.from_keras_model_and_variables,
  which provides a way to get a ReconstructionModel from a Keras model and
  lists of global and local trainable/non_trainable variables.
• Switched tff.learning.algorithms.build_fed_recon_eval to use a stateful
  metrics aggregator.

Breaking Changes

• Removed tff.learning.models.ReconstructionModel.from_keras_model, which
  has been replaced by
  tff.learning.models.ReconstructionModel.from_keras_model_and_layers.
• Removed the following functions from the py_typecheck module: check_len,
  check_callable, is_dataclass,is_attrs, check_subclass and
  check_not_none. They are unused or can be replaced by Python type
  annotations.

Bug Fixes

• Fixed a small bug in the TFF SGDM optimizer, to only track momentum as a
  hparam if it is both specified and nonzero.