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[RLlib] Fix OneHotPreprocessor, use gym.spaces.utils.flatten. (ray-pr…
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olipinski authored and justinvyu committed Sep 14, 2022
1 parent b18c721 commit c3cb0cb
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Showing 2 changed files with 57 additions and 7 deletions.
8 changes: 1 addition & 7 deletions rllib/models/preprocessors.py
Original file line number Diff line number Diff line change
Expand Up @@ -186,13 +186,7 @@ def _init_shape(self, obs_space: gym.Space, options: dict) -> List[int]:
@override(Preprocessor)
def transform(self, observation: TensorType) -> np.ndarray:
self.check_shape(observation)
arr = np.zeros(self._init_shape(self._obs_space, {}), dtype=np.float32)
if isinstance(self._obs_space, gym.spaces.Discrete):
arr[observation] = 1
else:
for i, o in enumerate(observation):
arr[np.sum(self._obs_space.nvec[:i]) + o] = 1
return arr
return gym.spaces.utils.flatten(self._obs_space, observation).astype(np.float32)

@override(Preprocessor)
def write(self, observation: TensorType, array: np.ndarray, offset: int) -> None:
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56 changes: 56 additions & 0 deletions rllib/models/tests/test_preprocessors.py
Original file line number Diff line number Diff line change
Expand Up @@ -154,6 +154,62 @@ def test_nested_multidiscrete_one_hot_preprocessor(self):
[1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0],
)

def test_multidimensional_multidiscrete_one_hot_preprocessor(self):
space2d = MultiDiscrete([[2, 2], [3, 3]])
space3d = MultiDiscrete([[[2, 2], [3, 4]], [[5, 6], [7, 8]]])
pp2d = get_preprocessor(space2d)(space2d)
pp3d = get_preprocessor(space3d)(space3d)
self.assertTrue(isinstance(pp2d, OneHotPreprocessor))
self.assertTrue(isinstance(pp3d, OneHotPreprocessor))
self.assertTrue(pp2d.shape == (10,))
self.assertTrue(pp3d.shape == (37,))
check(
pp2d.transform(np.array([[1, 0], [2, 1]])),
[0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0],
)
check(
pp3d.transform(np.array([[[0, 1], [2, 3]], [[4, 5], [6, 7]]])),
[
1.0,
0.0,
0.0,
1.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
],
)


if __name__ == "__main__":
import pytest
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