…error

avoid `AttributeError: 'torch.dtype' object has no attribute 'type'` error

```Python
In [7]: import numpy as np                                                                                                                                

In [8]: np.prod((1, 2, 3, 4))                                                                                                                             
Out[8]: 24

In [9]: type(np.prod((1, 2, 3, 4)))                                                                                                                       
Out[9]: numpy.int64

In [10]: type(int(np.prod((1, 2, 3, 4))))                                                                                                                 
Out[10]: int

In [11]: import numbers                                                                                                                                   

In [12]: isinstance(np.prod((1, 2, 3, 4)), numbers.Integral)                                                                                              
Out[12]: True

In [13]: isinstance(np.prod((1, 2, 3, 4)), int)                                                                                                           
Out[13]: False
```

 src/components/episode_buffer.py:103: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
  v = th.tensor(v, dtype=dtype, device=self.device)