POCA Attention will use h_size for embedding size and not 128 (Unity-…

…Technologies#5281)

ml-agents/mlagents/trainers/torch/networks.py

@@ -253,8 +253,6 @@ def forward(
 
 
 class MultiAgentNetworkBody(torch.nn.Module):
-    ATTENTION_EMBEDDING_SIZE = 128
-
     """
     A network body that uses a self attention layer to handle state
     and action input from a potentially variable number of agents that
@@ -293,17 +291,18 @@ def __init__(
             + self.action_spec.continuous_size
         )
 
+        attention_embeding_size = self.h_size
         self.obs_encoder = EntityEmbedding(
-            obs_only_ent_size, None, self.ATTENTION_EMBEDDING_SIZE
+            obs_only_ent_size, None, attention_embeding_size
         )
         self.obs_action_encoder = EntityEmbedding(
-            q_ent_size, None, self.ATTENTION_EMBEDDING_SIZE
+            q_ent_size, None, attention_embeding_size
         )
 
-        self.self_attn = ResidualSelfAttention(self.ATTENTION_EMBEDDING_SIZE)
+        self.self_attn = ResidualSelfAttention(attention_embeding_size)
 
         self.linear_encoder = LinearEncoder(
-            self.ATTENTION_EMBEDDING_SIZE,
+            attention_embeding_size,
             network_settings.num_layers,
             self.h_size,
             kernel_gain=(0.125 / self.h_size) ** 0.5,