naming

dreamer4/mocks.py

@@ -14,14 +14,14 @@ class MockEnv(Module):
         self,
         image_shape,
         reward_range = (-100., 100.),
-        batch_size = 1,
+        num_envs = 1,
         vectorized = False
     ):
         super().__init__()
         self.image_shape = image_shape
         self.reward_range = reward_range
 
-        self.batch_size = batch_size
+        self.num_envs = num_envs
         self.vectorized = vectorized
         self.register_buffer('_step', tensor(0))
 
@@ -42,8 +42,12 @@ class MockEnv(Module):
         state = self.get_random_state()
         reward = randint(*self.reward_range, ()).float()
 
-        if self.vectorized:
-            state = repeat(state, '... -> b ...', b = self.batch_size)
-            reward = repeat(rewardstate, ' -> b', b = self.batch_size)
+        if not self.vectorized:
+            return state, reward
 
-        return state, reward
+        assert actions.shape[0] == self.num_envs
+
+        state = repeat(state, '... -> b ...', b = self.num_envs)
+        reward = repeat(reward, ' -> b', b = self.num_envs)
+
+        return state, rewards