Closed YugAjmera closed 1 year ago
Currently doing it as,
path = 'checkpoints/dnerf_og.pth'
save_dict = {
'occ_grid': occupancy_grid,
'model': radiance_field.state_dict(),
'optimizer_state_dict': optimizer.state_dict(),
}
torch.save(save_dict, path)
print('Saved checkpoints at', path)
Hi, then how do you load the occupancy grid?
Hi. Can you give a sample code to save a trained model?