Please help！ AssertionError ： assert state.shape == (args.state_dim,)

[zhipentian]

Follow the tutorial https://github.com/AI4Finance-Foundation/FinRL-Tutorials/blob/master/3-Practical/FinRL_MultiCrypto_Trading.ipynb .
Always in:
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm Community Edition 2024.1\plugins\python-ce\helpers\pydev\pydevd.py", line 1535, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Program Files\JetBrains\PyCharm Community Edition 2024.1\plugins\python-ce\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "D:\per\AI\test2\Crypto.py", line 44, in
train(start_date=TRAIN_START_DATE,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\per\AI\test2\traintest.py", line 72, in train
trained_model = agent.train_model(
^^^^^^^^^^^^^^^^^^
File "D:\per\AI\test2\elegantrl_models.py", line 107, in train_model
train_agent(model)
File "C:\Users\zhipe\AppData\Local\Programs\Python\Python311\Lib\elegantrl\train\run.py", line 35, in train_agent
assert state.shape == (args.state_dim,)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AssertionError

[Faisalsouz]

same for me. please write back if you get answer: it look like that dimension model state is not matching with ENV state dimension

[Derek-yfqiu]

same for me...
it is an urgent issue to resolve

[DerekChu-YF]

Problem found:
in FinRL_MultiCrypto_Trading.ipynb :
model = agent.get_model(model_name, model_kwargs = erl_params)
it calles FinRL-Meta/agents/elegantrl_models.py:DRLAgent:get_model. This line set by default to the StockEnv
self.state_dim = 1 + 2 + 3 * stock_dim + self.tech_array.shape[1]
I change it to
self.state_dim = 1 + (self.price_array.shape[1] + self.tech_array.shape[1])#*lookback
and it works temporary.
I am able to train the model now

[zhipentian]

Problem found: in FinRL_MultiCrypto_Trading.ipynb : model = agent.get_model(model_name, model_kwargs = erl_params) it calles FinRL-Meta/agents/elegantrl_models.py:DRLAgent:get_model. This line set by default to the StockEnv self.state_dim = 1 + 2 + 3 * stock_dim + self.tech_array.shape[1] I change it to self.state_dim = 1 + (self.price_array.shape[1] + self.tech_array.shape[1])#*lookback and it works temporary. I am able to train the model now

Thank you very much for your help. It seems that the problem has been solved. Thank you again!