cpa.CPAModule.inference#
- CPAModule.inference(x, perts, perts_doses, covars_dict, mixup_lambda=1.0, n_samples=1, covars_to_add=None)[source]#
Run the recognition model.
In the case of variational inference, this function will perform steps related to computing variational distribution parameters. In a VAE, this will involve running data through encoder networks.
This function should return a dictionary with str keys and
Tensorvalues.