Method load_weights

tensorflow/python/keras/engine/training.py:175–182

Loads all layer weights, either from a TensorFlow or an HDF5 file.

(self, filepath, by_name=False)

    return super(Model, self).get_weights()

  def load_weights(self, filepath, by_name=False):
    """Loads all layer weights, either from a TensorFlow or an HDF5 file."""
    if distributed_training_utils.is_tpu_strategy(self._distribution_strategy):
      if (self._distribution_strategy.extended.steps_per_run > 1 and
          (not network._is_hdf5_filepath(filepath))):  # pylint: disable=protected-access
        raise ValueError('Load weights is not yet supported with TPUStrategy '
                         'with steps_per_run greater than 1.')
    return super(Model, self).load_weights(filepath, by_name)

  @trackable.no_automatic_dependency_tracking
  def compile(self,