bug fix for gym==0.19.0
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d3156ecb06
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@ -68,7 +68,6 @@ class Atari:
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@property
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def observation_space(self):
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img_shape = self._size + ((1,) if self._gray else (3,))
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print(self._env.observation_space)
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return gym.spaces.Dict(
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{
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"image": gym.spaces.Box(0, 255, img_shape, np.uint8),
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@ -180,7 +180,7 @@ class RewardObs:
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def observation_space(self):
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spaces = self._env.observation_space.spaces
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assert "reward" not in spaces
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spaces["reward"] = gym.spaces.Box(-np.inf, np.inf, dtype=np.float32)
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spaces["reward"] = gym.spaces.Box(-np.inf, np.inf, shape=(1,), dtype=np.float32)
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return gym.spaces.Dict(spaces)
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def step(self, action):
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@ -343,6 +343,8 @@ class MultiEncoder(nn.Module):
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symlog_inputs,
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):
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super(MultiEncoder, self).__init__()
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excluded = ("is_first", "is_last", "is_terminal", "reward")
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shapes = {k: v for k, v in shapes.items() if k not in excluded}
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self.cnn_shapes = {
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k: v for k, v in shapes.items() if len(v) == 3 and re.match(cnn_keys, k)
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}
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@ -402,6 +404,8 @@ class MultiDecoder(nn.Module):
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vector_dist,
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):
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super(MultiDecoder, self).__init__()
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excluded = ("is_first", "is_last", "is_terminal", "reward")
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shapes = {k: v for k, v in shapes.items() if k not in excluded}
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self.cnn_shapes = {
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k: v for k, v in shapes.items() if len(v) == 3 and re.match(cnn_keys, k)
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}
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