polish(pu): adapt qmix's mixer to support image obs

ding/model/template/qmix.py

@@ -5,6 +5,7 @@
 from functools import reduce
 from ding.utils import list_split, MODEL_REGISTRY
 from ding.torch_utils import fc_block, MLP
+from ..common import  ConvEncoder
 from .q_learning import DRQN
 
 
@@ -111,7 +112,7 @@ def __init__(
             self,
             agent_num: int,
             obs_shape: int,
-            global_obs_shape: int,
+            global_obs_shape: Union[int, List[int]],
             action_shape: int,
             hidden_size_list: list,
             mixer: bool = True,
@@ -146,8 +147,14 @@ def __init__(
         embedding_size = hidden_size_list[-1]
         self.mixer = mixer
         if self.mixer:
-            self._mixer = Mixer(agent_num, global_obs_shape, embedding_size, activation=activation)
-            self._global_state_encoder = nn.Identity()
+            if len(global_obs_shape) == 1:
+                self._mixer = Mixer(agent_num, global_obs_shape, embedding_size, activation=activation)
+                self._global_state_encoder = nn.Identity()
+            elif len(global_obs_shape) == 3:
+                self._mixer = Mixer(agent_num, embedding_size, embedding_size, activation=activation)
+                self._global_state_encoder = ConvEncoder(global_obs_shape, hidden_size_list=hidden_size_list, activation=activation, norm_type='BN')
+            else:
+                raise ValueError("Not support global_obs_shape: {}".format(global_obs_shape))
 
     def forward(self, data: dict, single_step: bool = True) -> dict:
         """
@@ -183,7 +190,9 @@ def forward(self, data: dict, single_step: bool = True) -> dict:
             'prev_state']
         action = data.get('action', None)
         if single_step:
-            agent_state, global_state = agent_state.unsqueeze(0), global_state.unsqueeze(0)
+            agent_state = agent_state.unsqueeze(0)
+        if single_step and len(global_state.shape) == 2:
+            global_state = global_state.unsqueeze(0)
         T, B, A = agent_state.shape[:3]
         assert len(prev_state) == B and all(
             [len(p) == A for p in prev_state]

dizoo/petting_zoo/config/ptz_pistonball_qmix_config.py

@@ -21,6 +21,7 @@
             shared_memory=False,
             reset_timeout=6000,
         ),
+        max_env_step=3e6,
     ),
     policy=dict(
         cuda=True,
@@ -30,8 +31,7 @@
             global_obs_shape=(3, 560, 880),  # Global state shape
             action_shape=3,  # Discrete actions (0, 1, 2)
             hidden_size_list=[128, 128, 64],
-            # mixer=True,  # TODO: mixer is not supported image observation now
-            mixer=False,
+            mixer=True,
         ),
         learn=dict(
             update_per_collect=100,
@@ -73,4 +73,4 @@
 if __name__ == '__main__':
     # or you can enter `ding -m serial -c ptz_pistonball_qmix_config.py -s 0`
     from ding.entry import serial_pipeline
-    serial_pipeline((main_config, create_config), seed=0)
+    serial_pipeline((main_config, create_config), seed=0, max_env_step=main_config.env.max_env_step)