TypeError: 'numpy.ndarray' object is not callable

[ilikebomb]

Hi, there!
I am using interpreter.py from https://deng-mit.github.io/Arrhenius.jl/dev/get_started/ to generate a .npz input for Arrhenius.jl.
But i encountered with following error in reactorch:

C:\Users\ChaoLW.conda\envs\ct-env\Lib\site-packages\reactorch-0.1.1-py3.12.egg\reactorch\solution.py:76: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at C:\cb\pytorch_1000000000000\work\torch\csrc\utils\tensor_new.cpp:281.)
self.molecular_weights = torch.Tensor([self.gas.molecular_weights]).T.to(self.device)
Traceback (most recent call last):
File "D:\AECCCAE\Projects24\h2flame_dns\cema\CEMA-main\interpreter.py", line 39, in
sol = rt.Solution(mech_yaml=mech_yaml, device=torch.device('cpu'),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ChaoLW.conda\envs\ct-env\Lib\site-packages\reactorch-0.1.1-py3.12.egg\reactorch\solution.py", line 88, in init
self.set_reactions()
File "C:\Users\ChaoLW.conda\envs\ct-env\Lib\site-packages\reactorch-0.1.1-py3.12.egg\reactorch\import_kinetics.py", line 38, in set_reactions
self.reactant_stoich_coeffs = torch.Tensor[self.gas.reactant_stoich_coeffs()].to(self.device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: 'numpy.ndarray' object is not callable

I would like to know any advice for solving this problem, thanks in advance.
Enviroment: Cantera 3.0.1, pytorch 2.5.1