Closed Anupa-123 closed 8 months ago
but what file are you running and what line number ?
https://github.com/AI4Finance-Foundation/FinRL-Tutorials/blob/master/3-Practical/FinRL_PaperTrading_Demo.ipynb I am using this file and while testing line number 1151, s_tensor = _torch.as_tensor((state,), device=device) this line creates an error.
with _torch.no_grad():
for i in range(environment.max_step):
# state = torch.as_tensor(ary_state, dtype=torch.float32, device=self.device)
s_tensor = _torch.as_tensor((state,), dtype=torch.float32, device=device)
a_tensor = act(s_tensor) # action_tanh = act.forward()
action = (
a_tensor.detach().cpu().numpy()[0]
) # not need detach(), because with torch.no_grad() outside
state, reward, done, extra, _ = environment.step(action)
total_asset = (
environment.amount
+ (
environment.price_ary[environment.day] * environment.stocks
).sum()
)
episode_total_assets.append(total_asset)
episode_return = total_asset / environment.initial_total_asset
episode_returns.append(episode_return)
if done:
break
There are a couple of other things you need to fix on that loop....
I sometimes wonder why they have uploaded a broken d=code....
Thanks a lot.
RuntimeError Traceback (most recent call last) in <cell line: 1>()
----> 1 account_value_erl=test(start_date = '2022-08-25',
2 end_date = '2022-08-31',
3 ticker_list = ticker_list,
4 data_source = 'alpaca',
5 time_interval= '1Min',
1 frames in DRL_prediction(model_name, cwd, net_dimension, environment)
102 with _torch.no_grad():
103 for i in range(environment.max_step):
--> 104 s_tensor = _torch.as_tensor((state,), device=device)
105 a_tensor = act(s_tensor) # action_tanh = act.forward()
106 action = (
RuntimeError: Could not infer dtype of dict