diff --git a/torchdistill/core/interfaces/forward_proc.py b/torchdistill/core/interfaces/forward_proc.py
index 56de0c05..029e3aec 100644
--- a/torchdistill/core/interfaces/forward_proc.py
+++ b/torchdistill/core/interfaces/forward_proc.py
@@ -37,6 +37,25 @@ def forward_batch_only(model, sample_batch, targets=None, supp_dict=None, **kwar
     return model(sample_batch)
 
 
+@register_forward_proc_func
+def forward_batch_only_as_kwargs(model, sample_batch, targets=None, supp_dict=None):
+    """
+    Performs forward computation using `sample_batch` only.
+
+    :param model: model.
+    :type model: nn.Module
+    :param sample_batch: sample batch.
+    :type sample_batch: dict
+    :param targets: training targets (won't be passed to forward).
+    :type targets: Any
+    :param supp_dict: supplementary dict (won't be passed to forward).
+    :type supp_dict: dict
+    :return: model's forward output.
+    :rtype: Any
+    """
+    return model(**sample_batch)
+
+
 @register_forward_proc_func
 def forward_batch_target(model, sample_batch, targets, supp_dict=None, **kwargs):
     """