not training about mofapy2 HOT 5 CLOSED

mofapy2 = v0.7.0
pandas = 1.5.3
numpy = 1.26.0

IndexError                                Traceback (most recent call last)
Cell In[76], line 1
----> 1 mu.tl.mofa(mdata, n_factors=20, gpu_mode=True)

File ~/mambaforge/envs/multiome/lib/python3.9/site-packages/muon/_core/tools.py:642, in mofa(data, groups_label, use_raw, use_layer, use_var, use_obs, likelihoods, n_factors, scale_views, scale_groups, center_groups, ard_weights, ard_factors, spikeslab_weights, spikeslab_factors, n_iterations, convergence_mode, use_float32, gpu_mode, gpu_device, svi_mode, svi_batch_size, svi_learning_rate, svi_forgetting_rate, svi_start_stochastic, smooth_covariate, smooth_warping, smooth_kwargs, save_parameters, save_data, save_metadata, seed, outfile, expectations, save_interrupted, verbose, quiet, copy)
    639 if use_var:
    640     # Set the weights of features that were not used to zero
    641     data.varm["LFs"] = np.zeros(shape=(data.n_vars, w.shape[1]))
--> 642     data.varm["LFs"][data.var[use_var]] = w
    643 else:
    644     data.varm["LFs"] = w

IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices