AttributeError: can't set attribute

[Voltarikk]

hi,thanks for developing this useful method!
I was trying to run the desc_2.1.1_paul tutorial,but i got the AttributeError: can't set attribute, i don't know where the wrong exist.

1. my desc_2.1.1 env
   anndata 0.9.2
   scanpy 1.9.6
   python 3.8.18
   PIL 10.2.0
   absl NA
   asttokens NA
   astunparse 1.6.3
   backcall 0.2.0
   certifi 2023.11.17
   charset_normalizer 3.3.2
   comm 0.2.1
   cycler 0.12.1
   cython_runtime NA
   dab0eaeee8bfae79490a0d4f23f5ad820bb199d8 NA
   dateutil 2.8.2
   debugpy 1.8.0
   decorator 5.1.1
   desc 2.1.1
   executing 2.0.1
   flatbuffers 23.5.26
   gast NA
   get_annotations NA
   google NA
   h5py 3.10.0
   idna 3.6
   igraph 0.10.8
   importlib_resources NA
   ipykernel 6.29.0
   jedi 0.19.1
   joblib 1.3.2
   keras 2.13.1
   kiwisolver 1.4.5
   llvmlite 0.41.1
   louvain 0.8.1
   matplotlib 3.7.4
   matplotlib_inline 0.1.6
   mpl_toolkits NA
   natsort 8.4.0
   numba 0.58.1
   numexpr 2.8.6
   numpy 1.24.3
   opt_einsum v3.3.0
   packaging 23.2
   pandas 2.0.3
   parso 0.8.3
   pexpect 4.9.0
   pickleshare 0.7.5
   pkg_resources NA
   platformdirs 4.1.0
   prompt_toolkit 3.0.43
   psutil 5.9.8
   ptyprocess 0.7.0
   pure_eval 0.2.2
   pydev_ipython NA
   pydevconsole NA
   pydevd 2.9.5
   pydevd_file_utils NA
   pydevd_plugins NA
   pydevd_tracing NA
   pygments 2.17.2
   pynndescent 0.5.11
   pyparsing 3.1.1
   pytz 2023.3.post1
   requests 2.31.0
   scipy 1.10.1
   session_info 1.0.0
   setuptools 68.2.2
   six 1.16.0
   sklearn 1.3.2
   stack_data 0.6.3
   tensorboard 2.13.0
   tensorflow 2.13.1
   termcolor NA
   texttable 1.7.0
   threadpoolctl 3.2.0
   tornado 6.4
   tqdm 4.66.1
   traitlets 5.14.1
   typing_extensions NA
   umap 0.5.5
   urllib3 2.1.0
   wcwidth 0.2.13
   wrapt 1.16.0
   zipp NA
   zmq 25.1.2
   IPython 8.12.3
   jupyter_client 8.6.0
   jupyter_core 5.7.1

Python 3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0]
Linux-6.2.0-34-generic-x86_64-with-glibc2.17

Session information updated at 2024-01-26 10:23

2. the question appeared when i ran the code
   adata=desc.train(adata, dims=[adata.shape[1],64,32], tol=0.005, n_neighbors=10, batch_size=256, louvain_resolution=[0.8,1.0], save_dir=str(save_dir), do_tsne=True, learning_rate=200, # the parameter of tsne use_GPU=False, num_Cores=1, #for reproducible, only use 1 cpu num_Cores_tsne=4, save_encoder_weights=False, save_encoder_step=3,# save_encoder_weights is False, this parameter is not used use_ae_weights=False, do_umap=False)

3. some warnings appreared
   Start to process resolution= 0.8
   The number of cpu in your computer is 96
   You must install pydot (pip install pydot) and install graphviz (see instructions at https://graphviz.gitlab.io/download/) for plot_model to work.(i'm confused)
   use_ae_weights=False, the program will rerun autoencoder
   Pretraining the 1th layer...
   learning rate = 0.1
   2024-01-26 11:29:54.242148: E tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:268] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
   2024-01-26 11:29:54.242179: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:168] retrieving CUDA diagnostic information for host: bgi-algo
   2024-01-26 11:29:54.242184: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:175] hostname: bgi-algo
   2024-01-26 11:29:54.242362: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:199] libcuda reported version is: 535.86.10
   2024-01-26 11:29:54.242380: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:203] kernel reported version is: 535.86.10
   2024-01-26 11:29:54.242383: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:309] kernel version seems to match DSO: 535.86.10
   Epoch 1/50
   11/11 [==============================] - 1s 34ms/step - loss: 0.9599
   ........
   ........
   11/11 [==============================] - 0s 9ms/step - loss: 0.2231
   Epoch 5/5
   11/11 [==============================] - 0s 9ms/step - loss: 0.2146
   delta_label 0.004395604395604396 < tol 0.005
   Reached tolerance threshold. Stop training.
   WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. model.compile_metrics will be empty until you train or evaluate the model.

4. raised the error likeAttributeError: can't set attribute
   File /DATA/User/luowei/software/anaconda3/envs/DESC/lib/python3.8/site-packages/pandas/core/base.py:178, in NoNewAttributesMixin.setattr(self, key, value)
   172 if getattr(self, "__frozen", False) and not (
   173 key == "_cache"
   174 or key in type(self).dict
   175 or getattr(self, key, None) is not None
   176 ):
   177 raise AttributeError(f"You cannot add any new attribute '{key}'")
   --> 178 object.setattr(self, key, value)

File /DATA/User/luowei/software/anaconda3/envs/DESC/lib/python3.8/site-packages/pandas/core/accessor.py:99, in PandasDelegate._add_delegate_accessors.._create_delegator_property.._setter(self, new_values)
98 def _setter(self, new_values):
---> 99 return self._delegate_property_set(name, new_values)

File /DATA/User/luowei/software/anaconda3/envs/DESC/lib/python3.8/site-packages/pandas/core/arrays/categorical.py:2460, in CategoricalAccessor._delegate_property_set(self, name, new_values)
2459 def _delegate_property_set(self, name, new_values):
-> 2460 return setattr(self._parent, name, new_values)

is there anyone can help me?
thanks a lot!!!