diff --git a/nerfactory/configs/base_configs.py b/nerfactory/configs/base_configs.py
index ab154dce4..b240af494 100644
--- a/nerfactory/configs/base_configs.py
+++ b/nerfactory/configs/base_configs.py
@@ -55,7 +55,7 @@ base_configs: Dict[str, Config] = {}
 base_configs["compound"] = Config(
     method_name="compound",
     trainer=TrainerConfig(mixed_precision=True),
-    pipeline=VanillaPipelineConfig(
+    pipeline=DynamicBatchPipelineConfig(
         datamanager=VanillaDataManagerConfig(dataparser=BlenderDataParserConfig(), train_num_rays_per_batch=8192),
         model=CompoundModelConfig(eval_num_rays_per_chunk=8192),
     ),
diff --git a/nerfactory/models/compound.py b/nerfactory/models/compound.py
index 3f9106ac4..398d361b6 100644
--- a/nerfactory/models/compound.py
+++ b/nerfactory/models/compound.py
@@ -186,9 +186,17 @@ class CompoundModel(Model):
             "accumulation": accumulation,
             "depth": depth,
             "alive_ray_mask": alive_ray_mask,  # the rays we kept from sampler
+            "num_samples_per_ray": packed_info[:, 1],
         }
         return outputs
 
+    def get_metrics_dict(self, outputs, batch):
+        image = batch["image"].to(self.device)
+        metrics_dict = {}
+        metrics_dict["psnr"] = self.psnr(outputs["rgb"], image)
+        metrics_dict["num_samples_per_batch"] = outputs["num_samples_per_ray"].sum()
+        return metrics_dict
+
     def get_loss_dict(self, outputs, batch, metrics_dict=None):
         image = batch["image"].to(self.device)
         mask = outputs["alive_ray_mask"]