tensorforce/agents/agent.py
def restore_model(self, directory=None, file=None):
        """
        Restore TensorFlow model. If no checkpoint file is given, the latest checkpoint is
        restored. If no checkpoint directory is given, the model's default saver directory is
        used (unless file specifies the entire path).

        Args:
            directory: Optional checkpoint directory.
            file: Optional checkpoint file, or path if directory not given.
        """
        self.model.restore(directory=directory, file=file)
def restore_model(self, directory=None, file=None):
        """
        Restore TensorFlow model. If no checkpoint file is given, the latest checkpoint is
        restored. If no checkpoint directory is given, the model's default saver directory is
        used (unless file specifies the entire path).

        Args:
            directory: Optional checkpoint directory.
            file: Optional checkpoint file, or path if directory not given.
        """
        self.model.restore(directory=directory, file=file)
Restore TensorFlow model. If no checkpoint file is given, the latest checkpoint is
        restored. If no checkpoint directory is given, the model's default saver directory is
        used (unless file specifies the entire path).

        Args:
            directory: Optional checkpoint directory.
            file: Optional checkpoint file, or path if directory not given.