Updated all preprocessors to new array backend.

- all preprocessors now support numpy and torch backend.

mushroom_rl/core/__init__.py

@@ -1,3 +1,4 @@
+from .array_backend import ArrayBackend
 from .core import Core
 from .dataset import Dataset, VectorizedDataset
 from .environment import Environment, MDPInfo
@@ -11,5 +12,5 @@
 
 import mushroom_rl.environments
 
-__all__ = ['Core', 'Dataset', 'Environment', 'MDPInfo', 'Agent', 'AgentInfo', 'Serializable', 'Logger',
+__all__ = ['ArrayBackend', 'Core', 'Dataset', 'Environment', 'MDPInfo', 'Agent', 'AgentInfo', 'Serializable', 'Logger',
            'VectorCore', 'VectorizedEnvironment', 'MultiprocessEnvironment']

mushroom_rl/core/_impl/__init__.py

@@ -1,6 +1,5 @@
 from .numpy_dataset import NumpyDataset
 from .torch_dataset import TorchDataset
 from .list_dataset import ListDataset
-from .array_backend import ArrayBackend, NumpyBackend, TorchBackend, ListBackend
 from .core_logic import CoreLogic
 from .vectorized_core_logic import VectorizedCoreLogic

mushroom_rl/core/_impl/vectorized_core_logic.py

@@ -1,4 +1,4 @@
-from .array_backend import ArrayBackend
+from mushroom_rl.core import ArrayBackend
 from .core_logic import CoreLogic
 
 

mushroom_rl/core/agent.py

@@ -1,6 +1,5 @@
 from mushroom_rl.core.serialization import Serializable
-
-from ._impl import *
+from .array_backend import ArrayBackend
 
 
 class AgentInfo(Serializable):
@@ -210,10 +209,10 @@ def core_preprocessors(self):
         return self._core_preprocessors
 
     def _convert_to_env_backend(self, array):
-        return self._env_backend.to_backend_array(self._agent_backend, array)
+        return self._env_backend.convert_to_backend(self._agent_backend, array)
 
     def _convert_to_agent_backend(self, array):
-        return self._agent_backend.to_backend_array(self._env_backend, array)
+        return self._agent_backend.convert_to_backend(self._env_backend, array)
 
     @property
     def info(self):