mul() received an invalid combination of arguments

[iksanov]

Traceback (most recent call last)
36 state = np.float32(observation)
37
---> 38 action = trainer.get_exploration_action(state)
39 # if _ep%5 == 0:
40 # # validate every 5th episode

.../train.py in get_exploration_action(self, state)
62 """
63 state = Variable(torch.from_numpy(state))
---> 64 action = self.actor.forward(state).detach()
65 new_action = action.data.numpy() + (self.noise.sample() * self.action_lim)
66 return new_action

.../model.py in forward(self, state)
97 action = torch.tanh(self.fc4(x))
98
---> 99 action = action * self.action_lim
100
101 return action

TypeError: mul() received an invalid combination of arguments - got (numpy.int64), but expected one of:

• (Tensor other)
  didn't match because some of the arguments have invalid types: (numpy.int64)
• (Number other)
  didn't match because some of the arguments have invalid types: (numpy.int64)