[s2s] release pseudolabel links and instructions (#7639)

examples/seq2seq/make_student.py

@@ -13,7 +13,7 @@ logger = logging.get_logger(__name__)
 
 
 def copy_layers(src_layers: nn.ModuleList, dest_layers: nn.ModuleList, layers_to_copy: List[int]) -> None:
-    layers_to_copy = nn.ModuleList([l for i, l in enumerate(src_layers) if i in layers_to_copy])
+    layers_to_copy = nn.ModuleList([src_layers[i] for i in layers_to_copy])
     assert len(dest_layers) == len(layers_to_copy), f"{len(dest_layers)} != {len(layers_to_copy)}"
     dest_layers.load_state_dict(layers_to_copy.state_dict())
 
@@ -81,6 +81,8 @@ def create_student_by_copying_alternating_layers(
     e: Union[int, None] = None,
     d: Union[int, None] = None,
     copy_first_teacher_layers=False,
+    e_layers_to_copy=None,
+    d_layers_to_copy=None,
     **extra_config_kwargs
 ) -> Tuple[PreTrainedModel, List[int], List[int]]:
     """Make a student by copying alternating layers from a teacher, save it to save_path.
@@ -142,8 +144,10 @@ def create_student_by_copying_alternating_layers(
         return student, e_layers_to_copy, d_layers_to_copy
 
     # Decide which layers of the teacher to copy. Not exactly alternating -- we try to keep first and last layer.
-    e_layers_to_copy: List[int] = pick_layers_to_copy(e, teacher_e)
-    d_layers_to_copy: List[int] = pick_layers_to_copy(d, teacher_d)
+    if e_layers_to_copy is None:
+        e_layers_to_copy: List[int] = pick_layers_to_copy(e, teacher_e)
+    if d_layers_to_copy is None:
+        d_layers_to_copy: List[int] = pick_layers_to_copy(d, teacher_d)
 
     try:
         copy_layers(teacher.model.encoder.layers, student.model.encoder.layers, e_layers_to_copy)