How to log hparams to Tensorboard?

Hello! I’m trying to view my hparams on tensorboard, but can’t actually see them there. As I understood from documentation, to log hparams one should add self.hparams in the init of the LightningModule. Here’s what I’m doing:

class MyModule(pl.LightningModule):
    def __init__(self,hparams):
        super().__init__()
        self.hparams =  Namespace(**{'learning_rate': hparams.learning_rate,
                                    'batch_size':hparams.batch_size,
                                    'normalize_embeddings':hparams.normalize_embeddings,
                                    'normalize': hparams.normalize,
                                    'k_neighbors':hparams.k_neighbors,
                                    'melspec_dir':hparams.melspec_dir})

My hparams also contain Trainer hparams, so to log only the right ones, I wrote this workaround. But anyway, I could not see any of my hparams. What could be the problem?

[RafailFridman]

Ok, I did it. It looks like that TensorBoard won’t display hparams if some previous runs were without them. So I had to start a new tb process with a clean logs directory. Everything works normal now.

[Borda]

Excuse me, could you please mention this behaviour in the docs? Thank you

That sounds as a good idea, mind send a PR with suggestion?