New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

N_samples not working for get_normalized_expression #1546

Closed

canergen opened this issue May 23, 2022 · 1 comment

Labels

bug

Member

canergen commented May 23, 2022

When using continuous covariates multiple sampling for get_normalized_expression is not working. cont_covs has to be stacked along third dimension.

X_hat = vae_complete.get_normalized_expression(library_size=1e4, transform_batch='N58', n_samples=8, indices=indices_bcell)

    337         """Runs the generative model."""
    338         # TODO: refactor forward function to not rely on y
--> 339         decoder_input = z if cont_covs is None else torch.cat([z, cont_covs], dim=-1)
    340         if cat_covs is not None:
    341             categorical_input = torch.split(cat_covs, 1, dim=1)

RuntimeError: Tensors must have same number of dimensions: got 3 and 2

'0.16.0'

canergen added the bug label

Member Author

canergen commented May 24, 2022 •

edited

Loading

Already opened. #1488

canergen closed this as completed

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment