Open DylanCZW opened 2 weeks ago
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\qnn\torch.py", line 404, in forward
results = self._evaluate_qnode(inputs)
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\qnn\torch.py", line 445, in _evaluate_qnode
return _combine_dimensions(res)
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\qnn\torch.py", line 437, in _combine_dimensions
_res = [torch.reshape(r, (x.shape[0], -1)) for r in _res]
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\qnn\torch.py", line 437, in
Process finished with exit code 1 I think the batch size and qbit is confused.
when I run your code, I got this error: E:\anaconda\envs\qrl\lib\site-packages\gym\envs\registration.py:593: UserWarning: WARN: The environment CartPole-v0 is out of date. You should consider upgrading to version
main()
File "F:/bishe/code/qrl-dqn-gym/cart_pole/train.py", line 160, in main
trainer.learn(args.total_episodes,
File "F:\bishe\code\qrl-dqn-gym\common\trainer.py", line 238, in learn
train_stats = self.train_step()
File "F:\bishe\code\qrl-dqn-gym\common\trainer.py", line 180, in train_step
loss = self.update_net()
File "F:\bishe\code\qrl-dqn-gym\common\trainer.py", line 135, in update_net
state_action_values = self.net(states)
File "E:\anaconda\envs\qrl\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, kwargs)
File "E:\anaconda\envs\qrl\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, *kwargs)
File "F:/bishe/code/qrl-dqn-gym/cart_pole/train.py", line 115, in forward
outputs = self.q_layers(inputs)
File "E:\anaconda\envs\qrl\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(args, kwargs)
File "E:\anaconda\envs\qrl\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(args, kwargs)
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\qnn\torch.py", line 404, in forward
results = self._evaluate_qnode(inputs)
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\qnn\torch.py", line 430, in _evaluate_qnode
res = self.qnode(kwargs)
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\workflow\qnode.py", line 1164, in call
return self._impl_call(args, kwargs)
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\workflow\qnode.py", line 1144, in _impl_call
self.construct(args, kwargs)
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\logging\decorators.py", line 61, in wrapper_entry
return func(*args, *kwargs)
File "E:\anaconda\envs\qrl\lib\site-packages\pennylane\workflow\qnode.py", line 966, in construct
self._qfunc_output = self.func(args, kwargs)
File "F:/bishe/code/qrl-dqn-gym/cart_pole/train.py", line 83, in circuit
layer(n_qubits, y_weights[layer_idx], z_weights[layer_idx])
KeyboardInterrupt
v1
. logger.warn( E:\anaconda\envs\qrl\lib\site-packages\gym\core.py:317: DeprecationWarning: WARN: Initializing wrapper in old step API which returns one bool instead of two. It is recommended to setnew_step_api=True
to use new step API. This will be the default behaviour in future. deprecation( E:\anaconda\envs\qrl\lib\site-packages\gym\wrappers\step_api_compatibility.py:39: DeprecationWarning: WARN: Initializing environment in old step API which returns one bool instead of two. It is recommended to setnew_step_api=True
to use new step API. This will be the default behaviour in future. deprecation( E:\anaconda\envs\qrl\lib\site-packages\gym\core.py:256: DeprecationWarning: WARN: Functionenv.seed(seed)
is marked as deprecated and will be removed in the future. Please useenv.reset(seed=seed)
instead. deprecation( E:\anaconda\envs\qrl\lib\site-packages\gym\utils\passive_envchecker.py:241: DeprecationWarning:np.bool8
is a deprecated alias for `np.bool`. (Deprecated NumPy 1.24) if not isinstance(terminated, (bool, np.bool8)): DQN: 0%| | 0/5000 [21:09<?, ?episode/s] Traceback (most recent call last): File "F:/bishe/code/qrl-dqn-gym/cart_pole/train.py", line 168, inProcess finished with exit code -1073741510 (0xC000013A: interrupted by Ctrl+C)
How can I deal with it?